Week 1
Video 1B-2: A Hook You Didn’t Even See Coming! Learning, Motivation, and Dopamine
Key Concepts
- Quick review of key concepts from the previous course
o Learning means creating links between neurons in long-term memory
o The more we practice with whatever we’ve learned, the more we strengthen those sets of links.
o Nicely connected sets of links in long-term memory make it easy for the “octopus” of working memory to pull those sets of links to mind.
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Whenever dopamine squirts out around our synapses, it helps link neurons together more easily.
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Dopamine squirt near synapses whenever we get some kind of unexpected reward. For example, even just through the unexpected reward of having our curiosity satisfied, those links of learning get locked into place!
References
Influence of dopamine on learning and motivation
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Berke, JD. “What does dopamine mean?” Nat Neurosci 21, no. 6 (2018): 787-793.
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Coddington, LT. “When does midbrain dopamine exert its effects on behavior?” Nature Neuroscience 23, no. 2 (2020): 154-156.
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Lerner, TN, et al. “Dopamine, updated: Reward prediction error and beyond.” Curr Opin Neurobiol 67, (2020): 123-130.
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Miendlarzewska, EA, et al. “Influence of reward motivation on human declarative memory.” _Neuroscience & Biobehavioral Review_s 61, (2016): 156-176.
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Niv, Y, et al. “Dopamine, uncertainty and TD learning.” Behavioral and Brain Functions 1, no. 1 (2005). Although this paper is older, it provides a good overview of dopamine in relation to learning.
Serotonin and other neurotransmitters in motivation
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Peters, KZ, et al. “Modulating the neuromodulators: Dopamine, serotonin, and the endocannabinoid system.” Trends Neurosci 44, no. 6 (2021): 464-477.
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Seymour, B, et al. “Serotonin selectively modulates reward value in human decision-making.” Journal of Neuroscience 32, no. 17 (2012): 5833-5842.
The role of expected versus unexpected rewards in motivation
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Cromwell, HC, et al. “Mapping the interconnected neural systems underlying motivation and emotion: A key step toward understanding the human affectome.” Neuroscience and biobehavioral reviews 113, (2020): 204-226.
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Mohebi, A, et al. “Dissociable dopamine dynamics for learning and motivation.” Nature 570, no. 7759 (2019): 65-70.
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Schultz, W. “Recent advances in understanding the role of phasic dopamine activity.” F1000Res 8, (2019).
Reward prediction error is found in declarative as well as non-declarative learning
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Ergo, K, et al. “Reward prediction error and declarative memory.” Trends Cogn Sci 24, no. 5 (2020): 388-397.
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Freedberg, M, et al. “Competitive and cooperative interactions between medial temporal and striatal learning systems.” Neuropsychologia 136, 107257 (2020): 1-13.
Curiosity, dopamine, and learning
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Duszkiewicz, AJ, et al. “Novelty and dopaminergic modulation of memory persistence: A tale of two systems.” Trends Neurosci 42, no. 2 (2019): 102-114.
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Gruber, MJ and Ranganath, C. “How curiosity enhances hippocampus-dependent memory: The Prediction, Appraisal, Curiosity, and Exploration (PACE) framework.” Trends Cogn Sci 23, no. 12 (2019): 1014-1025.
Motivation and schemas (More on this important area to come!)
- Wang, SH and Morris, RG. “Hippocampal-neocortical interactions in memory formation, consolidation, and reconsolidation.” Annu Rev Psychol 61, (2010): 49-79.
Video 1B-3: Don’t Say Boo—Stress and the Power of the Amygdala
Key Concepts
- Review ideas:
o The brain’s two learning “superhighways” involve the declarative hippocampal pathway and the procedural basal ganglia pathway.
o The Conductor—that is, the octopus of working memory—takes what you or I as the teacher might be explaining to our students and passes that information along to the hippocampus. But Hip can’t face both the Conductor and Neo at the same time. Hip can only help Neo to reinforce her links of learning if the Conductor stops conducting, so he can turn to Neo and help her reinforce her links. This is why short breaks can be valuable.
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The hippocampus can grow and connect neurons more easily than the neocortex can. But the hippocampus’s dendritic spines aren’t very stable—after a few days or weeks, they wither away.
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Myg the amygdala is an almond-sized structure located at the end of the hippocampus. The hippocampus helps the amygdala’s emotional input to become attached to a memory.
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While most of the data stored in Neo relates to flat, vanilla-flavored facts, without emotional color, the information stored in Myg the amygdala is quite different. It is emotional information. Neural connections to the amygdala may also explain some forms of bias.
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The “I’m not biased” bias is a particularly common bias amongst intelligent people.
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“Fear conditioning” means conditioning (connecting) something or someone with negative feelings of fear or pain. The brain can be negatively motivated through the amygdala’s “you’d better do this!” imperative system. But fear conditioning isn’t all bad—it can help ensure that students act appropriately in potentially dangerous situations.
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Too many fearful events can cause too many spines in the amygdala, which can cause people to misinterpret and overreact to emotional cues—a characteristic of PTSD (post-traumatic stress disorder).
References
Overall explanation of the role of the amygdala in forming memories, and on what we term “flimsy” versus “sturdy” neurons in the hippocampus & amygdala, respectively.
- Small, SA. Forgetting: The Benefits of Not Remembering: Crown, 2021. We will refer to the ideas of this wonderful book frequently in this course!
The amygdala and fear
- Chekroud, AM, et al. “A review of neuroimaging studies of race-related prejudice: does amygdala response reflect threat?” Frontiers in human neuroscience 8, (2014): 179.
The “I’m not biased” bias
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Pronin, E, et al. “The bias blind spot: Perceptions of bias in self versus others.” Personality and Social Psychology Bulletin 28, no. 3 (2002): 369-381.
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Grant, Adam. Think Again (p. 25). Penguin Publishing Group.
Video 1B-4: Digging Deeper into Motivation
Key Concepts
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Neuroscience has shown that thinking about rewards in terms of internal and external rewards just doesn’t accord with how the brain works.
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Interrogative motivation is the type of motivation that arises because we want to do something—it involves the brain’s reward system.
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The imperative system provides for negative motivation through the impetus of the amygdala (and habenula).
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Gamification is one of the best ways to bring interrogative motivation into learning.
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Motivation often involves what are called “tonic” dopamine molecules that are scattered around the brain. When we have more tonic dopamine, we have more desire to do things. When we have less dopamine, we have less desire to do things.
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“Phasic” dopamine molecules are the ones that concentrate around synapses and help us learn.
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Gamification encourages inquiry, collaboration, and the exchange of ideas while avoiding unwanted stress that affects students’ abilities. Games also contribute to the enjoyment of learning and allow students to experiment and make mistakes.
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Learning is a day-by-day thing. You might not feel like a superhero with the tiny gains that your child is making each day, but these tiny gains can add up into powerful mastery.
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We teachers can help our students learn to reframe what they are doing to boost their dopamine levels. Here are some specific ideas:
o Make a subject easier through practice and interesting explanations.
o Share passionate excitement about a topic. Emotions are contagious!
o Give ideas for how to reframe the topic to make it seem more palatable. Remind students of long-term rewards as you set, achieve, and celebrate short-term intermediate goals.
o Elicit student curiosity—create a sense of intrigue.
o Establish a sense of shared accountability. Reward teams as well as individuals, for example, for their expertise in problem-solving.
o Use gamification wherever possible to promote mastery learning, rather than simply learning through quizzes and tests.
References
Practice can increase motivation by reducing cognitive load
- Skulmowski, A and Xu, KM. “Understanding cognitive load in digital and online learning: A new perspective on extraneous cognitive load.” Educational Psychology Review, (2021).
Definition of a reward
- Schultz, W, et al. “A neural substrate of prediction and reward.” Science 275, no. 5306 (1997): 1593-1599.
Repeating a rewarded activity enough times can cause it to become a habit—no reward is needed for a person to perform a habit
- Lerner, TN, et al. “Dopamine, Updated: Reward Prediction Error and Beyond.” Curr Opin Neurobiol 67, (2020): 123-130.
Intrinsic and extrinsic rewards activate the same system
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Blain, B and Sharot, T. “Intrinsic reward: Potential cognitive and neural mechanisms.” Current Opinion in Behavioral Sciences 39, (2021): 113-118.
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Luria, E, et al. “Cognitive neuroscience perspectives on motivation and learning: Revisiting self‐determination theory.” Mind, Brain, and Education 15, no. 1 (2021): 5-17.
The habenula
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Dingman, M. “Know your brain: The habenula,” from neuroscientist Marc Dingman’s blog Neuroscientifically Challenged: Neuroscience Made Simpler. This particular article provides a very readable account of the habenula. Marc also does a popular series of two-minute videos that give a great introduction to the brain.
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Hikosaka O. “The habenula: from stress evasion to value-based decision-making.” Nat Rev Neurosci. 2010 Jul;11(7):503-13.
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Hu, H, et al. “Circuits and functions of the lateral habenula in health and in disease.” Nature Reviews Neuroscience 21, no. 5 (2020): 277-295.
Week 1 part 2
Video 1B-5: The Disparity Between Intellect and Character
Key Concepts
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Sadly, there will always be a significant percentage of bullying or unethical students who are unreachable by current training methods.
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Bullies are generally popular kids. They have the highest social status, the greatest self-esteem, and the lowest rates of depression—exactly the opposite of how bullies are typically portrayed.
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Because nasty, bullying-type behavior hurts, it can embed in memory all the more strongly, making it seem that the percentage of people who bully is bigger than it actually is.
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Just because “everyone” is using a program that ostensibly teaches moral behavior, or the program is developed by professors from a prestigious university with trainers who claim “solid scientific evidence” for the program’s efficacy, does not mean the program is properly vetted using sound scientific methodology, or that it is in fact helpful.
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Teachers and administrators can themselves be bullies, both to other teachers and to students. The most competent teachers seem to experience the brunt of the bullying.
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Bullying and nasty behavior is not just present in our classrooms. Every discipline has its percentage of nasty people, and, using current training methods, no one can ever completely eliminate that.
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Expectations matter. Training students to put their attention on, expect, and ferret out misbehavior in others can make them see such misbehavior in every interaction, which can create a host of new problems.
References
The disparity between intellect and character
- Coles, R. “The disparity between intellect and character.” The Chronicle of Higher Education 42, no. 4 (1995): A68.
Well-meaning programs that don’t work as intended
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Oakley, BA. “Concepts and implications of altruism bias and pathological altruism.” Proceedings of the National Academy of Sciences 110, Supplement 2 (2013): 10408-10415.
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Oakley, B, et al., eds. Pathological Altruism: Oxford University Press, 2012.
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Wilson, T. Redirect: The Surprising New Science of Psychological Change. New York, NY: Little, Brown and Company, 2011.
Motivation matters in anti-bias training
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Hayasaki, E. “The pathology of prejudice: What neuroscience tells us about the persistence of hatred.” TNR (2018).
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Kalman, I. “A bottom-up approach to reducing racism.” Psychology Today (blog post) (2018).
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Li, T, et al. “The impact of motivation on race-based impression formation.” NeuroImage 124, no. Pt A (2016): 1-7.
Expectations and their effect in the classroom
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Flanagan, AM, et al. “Achievement may be rooted in teacher expectations: examining the differential influences of ethnicity, years of teaching, and classroom behaviour.” Social Psychology of Education 23, no. 6 (2020): 1429-1448.
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Gentrup, S, et al. “Self-fulfilling prophecies in the classroom: Teacher expectations, teacher feedback and student achievement.” Learning and Instruction 66, (2020): 101296.
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Grant, BF, et al. “Prevalence, correlates, and disability of personality disorders in the United States: Results from the national epidemiologic survey on alcohol and related conditions.” The Journal of clinical psychiatry 65, no. 7 (2004): 948-958.
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Hill, AJ and Jones, DB. “Self-fulfilling prophecies in the classroom.” Journal of Human Capital 15, no. 3 (2021): 000-000.
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Hinnant, JB, et al. “The longitudinal relations of teacher expectations to achievement in the early school years.” Journal of Educational Psychology 101, no. 3 (2009): 662.
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Meaney, R, et al. “Prevalence of borderline personality disorder in university samples: systematic review, meta-analysis and meta-regression.” PLoS ONE 11, no. 5 (2016): e0155439.
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Papageorge, NW, et al. “Teacher expectations matter.” Review of Economics and Statistics 102, no. 2 (2020): 234-251.
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Rosenthal, R. “Teacher expectation and pupil learning.” In Teachers and the Learning Process, edited by R. D. Strom, 1671-1675: Prentice-Hall, 1971.
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Rosenthal, R and Jacobson, L. “Pygmalion in the classroom.” The Urban Review 3, no. 1 (1968): 16-20. This is a landmark study finding that what one teacher expects of their students can come to serve as a self-fulfilling prophecy.
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Stewart, TL, et al. “Do the “eyes” have it? A program evaluation of Jane Elliott’s “Blue‐Eyes/Brown‐Eyes” diversity training exercise 1.” Journal of Applied Social Psychology 33, no. 9 (2003): 1898-1921.
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Szumski, G and Karwowski, M. “Exploring the Pygmalion effect: The role of teacher expectations, academic self-concept, and class context in students’ math achievement.” Contemporary Educational Psychology 59, (2019): 101787.
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Wang, S, et al. “The stability and trajectories of teacher expectations: Student achievement level as a moderator.” Learning and Individual Differences 78, (2020): 101819
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Weinstein, RS. “Pygmalion at 50: Harnessing its power and application in schooling.” Educational Research and Evaluation 24, no. 3-5 (2018): 346-365. This is a major review of fifty years of research on teacher expectancy effects.
Bullies have high self-esteem; the value of providing status to bullies
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Koh, J-B and Wong, JS. “Survival of the fittest and the sexiest: Evolutionary origins of adolescent bullying.” Journal of Interpersonal Violence 32, no. 17 (2017): 2668-2690.
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Yoho M, Faur S, Laursen B. “Conflict moderates the longitudinal association between aggression with classmates and popularity: Leveraging disagreements into peer status,” Personality and Individual Differences 190, (2022), 1115382022. This study found “…higher initial levels of peer-reported aggression, and disruptiveness were associated with increases in peer-reported popularity, particularly for children who report frequent conflict with classmates.” A description of this study in layperson’s terms (behind a paywall) is “How children use conflict to win popularity : New research shows that as early as the third grade, a student’s concerted aggression can raise their status among schoolmates,” by Susan Pinker, Wall Street Journal, May 5, 2022.
Bullying in the nursing and healthcare profession
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Bartholomew, K. Ending Nurse-to-Nurse Hostility: Why Nurses Eat Their Young and Each Other: HC Pro, 2006.
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Ciocco, M. Fast Facts on Combating Nurse Bullying, Incivility and Workplace Violence: What Nurses Need to Know in a Nutshell: Springer, 2017.
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Dellasega, C. What to Do When Nurses Hurt Nurses: Sigma Theta Tau International, 2019.
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Dellasega, C. and Rebecca L. Volpe, Toxic Nursing, Second Edition: Managing Bullying, Bad Attitudes, and Total Turmoil: Sigma Theta Tau International, 2020.
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Thompson, DR. Enough! Eradicate Bullying and Incivility in Healthcare: Strategies for Front Line Leaders: Incredible Messages Press, 2019.
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Thompson, O. Nurses Eat Their Young: Inside the Nurse Bullying Crisis: Independently published, 2019.
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Kalman, I. “Medical school anti-bullying policies are failing.” Psychology Today (blog post) (2012).
Bullying in the teaching profession
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Scheeler, C. M, et al. “Teacher workplace bullying: How pervasive is the problem?” Teacher Education and Special Education, (2021): 08884064211015698.
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Sylvester, R. “Teacher as bully: Knowingly or unintentionally harming students.” Delta Kappa Gamma Bulletin 77, no. 2 (2011): 42.
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Twemlow, SW, et al. “Teachers who bully students: A hidden trauma.” International Journal of Social Psychiatry 52, no. 3 (2006): 187-198.
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de Wet, C and Jacobs, L. “Workplace bullying, emotional abuse and harassment in schools.” In Special Topics and Particular Occupations, Professions and Sectors, edited by P. D´Cruz, Noronha, E., Keashly, L., Tye-Williams, S., 187-219. Singapore: Springer, 2021.
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Young, E and Meteraud, L. “Perceptions of middle school teachers on teacher bullying.” Journal of Student Research (2014), 229-241.
The problems with anti-bias training
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Bregman, P. “Diversity training doesn’t work.” Harvard Business Review 12, (2012).
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Dobbin, F and Kalev, A. “Why doesn’t diversity training work? The challenge for industry and academia.” Anthropology Now 10, no. 2 (2018): 48-55.
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Paluck, EL, et al. “Prejudice Reduction: Progress and Challenges.” Annual Review of Psychology 72, no. 1 (2021): 533-560. This massive review notes: “The past decade has seen rapid growth in research that evaluates methods for reducing prejudice. This essay reviews 418 experiments reported in 309 manuscripts from 2007 to 2019 to assess which approaches work best and why. Our quantitative assessment uses meta-analysis to estimate average effects. Our qualitative assessment calls attention to landmark studies that are noteworthy for sustained interventions, imaginative measurement, and transparency. However, 76% of all studies evaluate light-touch interventions, the long-term impact of which remains unclear. The modal intervention uses mentalizing as a salve for prejudice. Although these studies report optimistic conclusions, we identify troubling indications of publication bias that may exaggerate effects. Furthermore, landmark studies often find limited effects, which suggests the need for further theoretical innovation or synergies with other kinds of psychological or structural interventions. We conclude that much research effort is theoretically and empirically ill-suited to provide actionable, evidence-based recommendations for reducing prejudice.”
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Sewell, T, et al. UK’s “Commission on Race and Ethnic Disparities: The Report.” (2021), which recommended moving away from unconscious bias training (e.g. p. 18. Recommendation 8A)
Bias appears to be concentrated in smaller percentages of individuals in groups—not widespread
- Campbell, MR and Brauer, M. “Is discrimination widespread? Testing assumptions about bias on a university campus.” Journal of Experimental Psychology: General 150, no. 4 (2021): 756.
Video 1B-6: Good Intentions and Systemic Problems
Key Concepts
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Any approach to solving problems, particularly when it comes to complex social issues, can produce a cascading stream of resulting difficulties that are worse—sometimes far worse—than the original problem. This concept is informally thought of as the “Law of Unintended Consequences.”
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Conventional anti-bullying programs often have unanticipated consequences and side-effects that can make the situation worse.
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Surveys can be poor devices for determining whether an educational or social program has achieved its goals.
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Bullying isn’t just an act of aggression. It can also be purposeful exclusion.
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Seemingly perfect and popular kids can also be bullied—some kids like this have even taken their lives because they couldn’t tolerate the bullying anymore.
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Just as kids deserve to be taught how to handle the challenges of reading, writing, and arithmetic, kids deserve to be taught how to handle the social challenges of life, including bullying. It’s important to avoid handicapping students through well-intentioned efforts that have unexpected negative side effects.
References
- (See references for Video 1B-7)
Video 1B-7: A Deeper Look at Efforts to Eradicate Bullying and Other Harmful Behavior
Key Concepts
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Bullying that involves a crime such as theft, assault, and vandalism needs to be treated as a crime. Perpetrators of crimes need to be punished and/or properly rehabilitated.
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Most bullying is not criminal. It involves insults, social exclusion, and non-injurious physical acts that hurt kids’ feelings. They cause subjective harm, meaning it is up to the victim whether they get hurt.
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When we treat acts that cause subjective harm like crimes that require investigation, judgement and punishment, it can simply worsen the situation. The subjective harm can then escalate to objective harm as the vindictiveness turns to physically injurious attacks.
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Teaching children how to not be victims teaches important skills that everyone can use throughout life.
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Teaching bystanders to intervene in bullying has not been credibly shown to be effective. This approach also encourages a feeling of helplessness on the part of the bullied student. Bystanders can, however, be taught to help de-escalate situations.
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Social engineering programs can have results that make the situation worse. Yet the creators of such interventions can be so convinced of the efficacy of their program that they ignore important negative indicators.
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Teacher, instructor, and workplace professional development programs are a multi-billion-dollar industry. Like Big Pharma, professional development programs are often the ones funding the studies showing their program’s success. And their narrow definition of success can cover a multitude of worse side effects.
References
Pathological altruism (well-intentioned efforts that worsen the very situation that is meant to be resolved)
- Oakley, B, et al., eds. Pathological Altruism: Oxford University Press, 2012.
Joan McCord’s seminal thirty-year follow-up study of the Cambridge-Somerville Youth Study
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McCord, J. “A thirty-year follow-up of treatment effects.” American Psychologist 33, no. 3 (1978): 284-289.
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Dishion, TJ, et al. “When interventions harm: Peer groups and problem behavior.” American Psychologist 54, no. 9 (1999): 755-764.
A biographical retelling of Joan McCord’s accomplishments:
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Martin, D. “Joan McCord, who evaluated anticrime efforts, dies at 73.” The New York Times, (2004).
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Oakley, B. Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential: Penguin-Random House, 2017. Chapter 5.
Izzy Kalman’s work
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Kalman, I. “If your anti-bullying program isn’t working, here’s why.” Psychology Today, (blog post) (2018).
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Kalman, I. “Does informing schools on bullying make it better or worse?” Psychology Today, (blog post), (2019).
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Kalman, I. “Burger King video proves folly of relying on bystanders unwittingly demonstrates why the most popular bullying solution isn’t working” Psychology Today, (blog post), (2017).
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Kalman, I. “A powerful psychotherapeutic approach to the problem of bullying.” Annals of the American Psychotherapy Association 13, no. 3 (2010): 74-77.
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Kalman, IC. “Why psychology is failing to solve the problem of bullying.” International Journal on World Peace 30, no. 2 (2013).
Bullying
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Gaffney, H, et al. “Evaluating the effectiveness of school-bullying prevention programs: An updated meta-analytical review.” Aggression and Violent Behavior 45, (2019): 111-133. This study found that intervention programs are effective in reducing school-bullying perpetration by approximately 19–20% and school-bullying victimization by approximately 15–16%.
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Ryan, W and Smith, JD. “Antibullying programs in schools: How effective are evaluation practices?” Prevention Science 10, no. 3 (2009): 248-259. This study notes shortcomings in the methodologies used to conclude that anti-bullying programs are effective.
Participation in social media can have such a negative effect on student mental health
- Braghieri, L, et al. “Social media and mental health.” Available at SSRN, (2021).
Video 1B-8: The Importance of Forgetting in Learning, Life, and Overcoming Stress
Key Concepts
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There are certain neural chemicals that help dendritic spines form and fix into place, and other chemicals that cause those spines to melt away. You need just the right balance of those chemicals to be able to make memories, but also lose memories, so as not to be overwhelmed.
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It can be harder for people with exceptional memories to see the big picture. Excellent memories can also be associated with behavioral inflexibility.
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Sleep can be a form of “smart forgetting.” Why do we sleep so long? Because disassembling dendritic spines takes time!
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Forgetting is important, not only for flexibility, but also for creativity. To see ideas and concepts in new and different ways, we must eliminate some neural connections, even as we make new ones.
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It can be deeply unhealthy to remember every experience—especially bad experiences, resentments, and neurotic fears.
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It is natural for teachers to want to do whatever they can to help ease students’ anxieties. But beware—asking students to share about negative feelings can be a form of retrieval practice that reinforces unpleasant thoughts and emotions.
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Neurogenesis means the creation of new neurons. New neurons help not only with new learning—they also help with forgetting, as the new neurons gradually crowd out lesser-used connections.
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One of the best things that we can do to help students overcome stress in their lives is to excite and encourage them about new learning! Learning something new actually serves as a sort of trellis—new neurons have someplace to park and grow if a student is learning something new.
References
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Small, SA. Forgetting: The Benefits of Not Remembering: Crown, 2021. This is an extraordinary book—we cannot recommend it more highly!
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Yeager, A. “What do new neurons in the brains of adults actually do?” The Scientist (2020). This provides a readable overview of neurogenesis.
Week 2
week 2 part 1
NOTE: All these references and readings are optional
- Chapters 3 and 6 of Uncommon Sense Teaching are especially helpful in providing helpful information related to declarative and procedural learning.
2B-1: Learning without Knowing You Know: Revisiting the Procedural System
Key concepts
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There are many activities the brain is involved in that we are not conscious of, including learning via the procedural system.
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Although it’s possible to cram and hold a lot of information temporarily with declarative learning using the hippocampus, this process is not possible with procedural learning through the basal ganglia.
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Sets of procedural links develop if declarative pathways have been repeated enough times.
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Both procedural and declarative sets of links each gradually consolidate over time. This means it takes time to learn well.
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Following a set of procedures actually means learning declaratively!
References
Good general overview of the procedural system from a teacher’s perspective:
- Oakley, B, et al. Uncommon Sense Teaching: Penguin Random House, 2021. Chapter 6.
Excellent, easy-to-read general introductions to the habit-based procedural system:
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Graybiel, AM and Smith, KS. “Good habits, bad habits.” Scientific American 310, no. 6 (2014): 38-43. (Behind Pay Wall)
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Wood, W. Good Habits, Bad Habits: The Science of Making Positive Changes that Stick: Farrar, Straus and Giroux, 2019.
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Duhigg, C. The Power of Habit. Random House, 2012.
1 kilometer of nonconscious processing
- Schei, E, et al. “Reflection in medical education: intellectual humility, discovery, and know-how.” Med Health Care Philos 22, no. 2 (2019): 167-178.
The procedural system (in contrast with the declarative system)
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Ashby, FG and Valentin, VV. “Multiple systems of perceptual category learning: Theory and cognitive tests.” In Handbook of Categorization in Cognitive Science, edited by Henri Cohen and Claire Lefebvre, 157-188: Elsevier Science, 2017.
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Ferbinteanu, J. “The hippocampus and dorsolateral striatum Integrate distinct types of memories through time and space, respectively.” The Journal of Neuroscience: The Official Journal of the Society for Neuroscience 40, no. 47 (2020): 9055-9065. (This paper acknowledges that sometimes memory storage is more complicated than we might think between the two systems.)
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Turner, BO, et al. “Hierarchical control of procedural and declarative category-learning systems.” NeuroImage 150, (2017): 150-161.
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Ullman, MT. “The declarative/procedural model: A neurobiologically motivated theory of first and second language.” In Theories in Second Language Acquisition: An Introduction, edited by Bill VanPatten, Gregory D. Keating and Stefanie Wulff, 128-161: Routledge, 2020. This is a fantastic overview—it also describes how procedural and declarative links coexist—it’s not that declarative links, for example, just turn into procedural links.
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Ullman, MT. “The declarative/procedural model: A neurobiologically motivated theory of first and second language.” In Theories in Second Language Acquisition: An Introduction, edited by Bill VanPatten, Gregory D. Keating and Stefanie Wulff, 128-161: Routledge, 2020. This fantastic chapter clearly lays out differences in declarative versus procedural learning. Much of our work in this MOOC (and book) related to procedural learning has grown from Dr. Ullman’s work.
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Ullman, MT, et al. “The neurocognition of developmental disorders of language.” Annu Rev Psychol 71, (2020): 389-417.
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Ullman, MT and Lovelett, JT. “Implications of the declarative/procedural model for improving second language learning: The role of memory enhancement techniques.” Second Language Research 34, no. 1 (2016): 39-65.
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Zwart, FS, et al. “Procedural learning across the lifespan: A systematic review with implications for atypical development.” J Neuropsychol 13, no. 2 (2019): 149-182.
Procedural links become consolidated, just like declarative links
- Chen, J, et al. “Exercise reduces competition between procedural and declarative memory systems.” eNeuro 7, no. 4 (2020).
Procedural as meaning “step by step,” declarative learning
- Evans, TM and Ullman, MT. “An extension of the procedural deficit hypothesis from developmental language disorders to mathematical disability.” Frontiers in Psychology 7, Article 1318 (2016): 1-9. As Evans and Ullman observe: “the term ‘procedural’ is generally used differently in the math literature, where ‘procedure’ is often used interchangeably with ‘strategy.’” Strategies, of course, are usually explicit and are taught through the declarative system.
2B-2: Compression is the Name of the Game!
Key Concepts
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The procedural system likes to create links and take over responsibility for actions involving activities performed repeatedly through time.
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The procedural system allows actions and thoughts to be automated. Having information deposited in procedural sets of links is like having a nice full bag of marbles your working memory can easily grab, instead of having to go pick out each marble individually.
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There’s evidence suggesting that both reading and math rely at a foundational level on simply being able to stimulate a response when given a cue—all part of the procedural system’s repertoire.
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Even advanced patterns of mathematical thinking can become automated and done unconsciously, if they are well-practiced.
References
Research about the procedural (basal ganglia) system in relation to mathematics
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Shim, M, et al. “Resting-state functional connectivity in mathematical expertise.” Brain Sci 11, no. 4 (2021).
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Delazer, M, et al. “Number processing and basal ganglia dysfunction: a single case study.” Neuropsychologia 42, no. 8 (2004): 1050-1062. Although this is just a single case study, it provides intriguing insight on the role of the basal ganglia in mathematical processing.
-
Dehaene, S and Cohen, L. “Cerebral pathways for calculation: Double dissociation between rote verbal and quantitative knowledge of arithmetic.” Cortex 33, no. 2 (1997): 219-250. This paper, although old, is valuable for its discussion of the “triple code model.”
-
Prado, J. “The interplay between learning arithmetic and learning to read: insights from developmental cognitive neuroscience.” In Heterogeneity of Function in Numerical Cognition, 27-49: Elsevier, 2018. This paper gives a wonderful overview of the procedural system and its relationship to learning arithmetic and learning to read.
Quote from Thurston about mathematics
- Thurston, W. P. (1990). “Mathematical education.” Notices of the American Mathematical Society, 37 (7), p. 846–847.
Thinking more broadly
-
Although in this MOOC we characterize much of learning as being associated with either declarative (hippocampal) or procedural (basal ganglia) processes, there are other ways of slicing the cognitive pie. For example, learning can also be parsed into unsupervised (cortex), supervised (cerebellum) and reinforcement learning (basal ganglia), as described in Caligiore, D, et al. “The super-learning hypothesis: Integrating learning processes across cortex, cerebellum and basal ganglia.” Neuroscience & Biobehavioral Reviews 100, (2019): 19-34. What is becoming clear is that, although different systems do seem to specialize in particular aspects of learning, they often work simultaneously together to support learning, and can even overlap in some functions. See for example:
-
Ferbinteanu, J. “The hippocampus and dorsolateral striatum Integrate distinct types of memories through time and space, respectively.” The Journal of Neuroscience: The Official Journal of the Society for Neuroscience 40, no. 47 (2020): 9055-9065.
-
Gatti, D, et al. “Cerebellum and semantic memory: A TMS study using the DRM paradigm.” Cortex 135, (2021): 78-91.
Also, see this paper for an interesting alternative hypothesis to the idea that deficits in procedural learning are associated with dyslexia and dyscalculia:
- West, G, et al. “Sustained attention, not procedural learning, is a predictor of reading, language and arithmetic skills in children.” Scientific Studies of Reading 25, no. 1 (2021): 47-63.
2B-3: Front Doors and Back Doors—Diving Deeper into the Procedural System
Key Concepts
-
The procedural system has a front door, for goal-directed activities, and a back door, for habitual actions.
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The basal ganglia are part of the switching system between habitual (unthinking) or goal-directed (consciously initiated) procedural activities.
-
The declarative and procedural systems “meet” at the procedural goal-directed system.
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What comes out of the procedural system is something of a mystery as far as your declarative system is concerned.
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The habitual entranceway links sensory inputs with motor outputs. These are called conditioned responses. For example, a trained dog is conditioned to sit in response to hearing (that is, having the sensory input of) the word “sit.” (Remember from week 1 that “fear conditioning” means conditioning (connecting) something or someone with negative feelings of fear or pain.)
-
It takes lots and lots of repetition for the procedural system to learn and take over from the declarative system, making your writing, or any other procedural action, fluid and automatic.
References
Front and back doors of the basal ganglia
- Redgrave, P, et al. “Goal-directed and habitual control in the basal ganglia: implications for Parkinson’s disease.” Nature Reviews. Neuroscience 11, no. 11 (2010): 760-772.
Working memory works on timing-related “chunky” sequences of procedurally learned material the same way it works on chunks involving space and more abstract concepts
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Martiros, N, et al. “Inversely active striatal projection neurons and interneurons selectively delimit useful behavioral sequences.” Curr Biol 28, no. 4, e5 (2018): 560-573.
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Mason, RA and Just, MA. “Neural representations of procedural knowledge.” Psychological Science, (2020): 0956797620916806.
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When it comes to math facts, such as knowing that 2 + 7 = 9, you might think that the learning involved in this process is purely rote and doesn’t involve a timing-related sequence. But there is evidence that timing is involved. See for example page 38 of Prado, J. “The interplay between learning arithmetic and learning to read: insights from developmental cognitive neuroscience.” In Heterogeneity of Function in Numerical Cognition, 27-49: Elsevier, 2018. Note that the author uses the word “procedure” to mean learning explicit steps (declarative learning), while the term “procedural automatization,” means learning in a habitual sense.
2B-4: Understanding the Differences Between Declarative and Procedural Learning
Key Concepts:
The most common differences between declarative and procedural learning are: |
Declarative |
You’re mostly conscious of it |
Flexible |
Involves sequential tasks |
You can explain it |
Develops through explicit instruction |
Fast to learn, slow to use |
References
A good overview of these ideas can be found in Chapter 6 of Uncommon Sense Teaching, by Barbara Oakley, Beth Rogowsky, and Terrence Sejnowski, Penguin Random House, 2021.
The procedural system (in contrast with the declarative system)
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Ashby, FG and Valentin, VV. “Multiple systems of perceptual category learning: Theory and cognitive tests.” In Handbook of Categorization in Cognitive Science, edited by Henri Cohen and Claire Lefebvre, 157-188: Elsevier Science, 2017.
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Ferbinteanu, J. “The hippocampus and dorsolateral striatum Integrate distinct types of memories through time and space, respectively.” The Journal of Neuroscience: The Official Journal of the Society for Neuroscience 40, no. 47 (2020): 9055-9065. (This paper acknowledges that sometimes memory storage is more complicated than we might think between the two systems.)
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Turner, BO, et al. “Hierarchical control of procedural and declarative category-learning systems.” NeuroImage 150, (2017): 150-161.
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Ullman, MT. “The declarative/procedural model: A neurobiologically motivated theory of first and second language.” In Theories in Second Language Acquisition: An Introduction, edited by Bill VanPatten, Gregory D. Keating and Stefanie Wulff, 128-161: Routledge, 2020. This is a fantastic overview—it also describes how procedural and declarative links coexist—it’s not that declarative links, for example, just turn into procedural links.
-
Ullman, MT. “The declarative/procedural model: A neurobiologically motivated theory of first and second language.” In Theories in Second Language Acquisition: An Introduction, edited by Bill VanPatten, Gregory D. Keating and Stefanie Wulff, 128-161: Routledge, 2020. This fantastic chapter clearly lays out differences in declarative versus procedural learning. Much of our work in this MOOC (and book) related to procedural learning has grown from Dr. Ullman’s work.
-
Ullman, MT, et al. “The neurocognition of developmental disorders of language.” Annu Rev Psychol 71, (2020): 389-417.
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Ullman, MT and Lovelett, JT. “Implications of the declarative/procedural model for improving second language learning: The role of memory enhancement techniques.” Second Language Research 34, no. 1 (2016): 39-65.
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Zwart, FS, et al. “Procedural learning across the lifespan: A systematic review with implications for atypical development.” J Neuropsychol 13, no. 2 (2019): 149-182.
2B-5: How to Reach and Teach Both Procedural and Declarative Pathways
Key Concepts
References
- A good overview of these ideas can be found in Chapter 6 of Uncommon Sense Teaching, by Barbara Oakley, Beth Rogowsky, and Terrence Sejnowski, Penguin Random House, 2021.
The value of dopamine and exercise in enhancing both declarative and procedural learning
-
Chen, J, et al. “Exercise Reduces Competition between Procedural and Declarative Memory Systems.” eNeuro 7, no. 4 (2020).
-
Freedberg, M, et al. “Competitive and cooperative interactions between medial temporal and striatal learning systems.” Neuropsychologia 136, 107257 (2020): 1-13.
Just turning students loose with materials to figure things out on their own is far less effective than intermixed explicit instruction with active practice and exploration.
-
Kirschner, PA, et al. “Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching.” Educ Psychol 41, no. 2 (2006): 75-86.
-
Yannier, N, et al. “Active learning is about more than hands-on: A mixed-reality AI system to support STEM education.” International Journal of Artificial Intelligence in Education 30, no. 1 (2020): 74-96.
Seemingly contrasting research findings
- Freeman, S, et al. “Active learning increases student performance in science, engineering, and mathematics.” Proceedings of the National Academy of Sciences 111, no. 23 (2014): 8410-8415. This paper is often used to justify a “the more, the merrier” approach to using active learning in the classroom. But the paper actually only observes that classrooms using 10% or more of the period in using active learning approaches seem to do better. Also see the three comments on the article by Wieman, Hora, and Freeman et al.
Concept Attainment
-
Gonzalez, J. “How to use the concept attainment strategy.” Cult of Pedagogy (2013). https://www.cultofpedagogy.com/concept-attainment/.
-
Silver, HF, et al. The Strategic Teacher: Selecting the Right Research-based Strategy for Every Lesson: ASCD, 2007.
See also the references to video 2B-4
Week 2 part 2
NOTE: All these references and readings are optional
- Chapter 7 of Uncommon Sense Teaching is especially helpful in providing helpful information related to classroom management.
2B-6 Habits in the Classroom: Be Mindful of What you Want Your Students to do Mindlessly
Key Concepts
-
“The more routine a behavior comes, the less we become aware of it.”
-
You can tap into the power of the procedural system to create a smoothly running classroom.
-
It’s important to start with careful, declarative instruction to explain the behavior you want your students to eventually be doing automatically.
References
-
Bennett, T. Running the Room: The Teacher’s Guide to Behaviour, John Catt Educational, 2020.
-
Duhigg, C. The Power of Habit. NY: Random House, 2012.
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Graybiel, AM and Smith, KS. “Good habits, bad habits.” Scientific American 310, no. 6 (2014): 38-43.
-
Lemov, D. Teach Like a Champion 2.0: John Wiley & Sons, 2015.p. 383.
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Plevin, R. Take Control of the Noisy Class: Chaos to Calm in 15 Seconds (Super-effective classroom management strategies for teachers in today’s toughest classrooms) 2nd edition: Life Raft Media, 2019.
-
Smith, R and Dearborn, G. Conscious Classroom Management Second Edition Unlocking the Secrets of Great Teaching. 2nd edition: Conscious Teaching, LLC, 2016.
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Wood, W. Good Habits, Bad Habits: The Science of Making Positive Changes that Stick: Farrar, Straus and Giroux, 2019.
2B-7: Practical Examples of Mindfully Mindless Behaviors, Part 1
Key Concepts
-
Be sure to create seating arrangements and teams in your classroom—do not let students self-select.
-
A “bell ringer” activity done at the very start of each class can help students become engaged.
-
Creating name tags that are habitually picked up by students can be an easy way to help with names and even take attendance, if needed.
-
There are apps to randomize selection of students—but good old popsicle sticks can help, too.
References
-
Davies, R. “The secret to classroom seating arrangements – How to decide what’s right for you.” Differentiated Teaching blog, (2021).
-
Wong, HK and Wong, RT. The First Days of School: How to Be an Effective Teacher. 5th ed.: Harry K. Wong Publications, 2018.
-
See references for 2B-6.
2B-8: Practical Examples of Mindfully Mindless Behaviors, Part 2
Key Concepts
-
“My Favorite No” is an easy technique to help students retrieve and practice with key ideas.
-
An initial easy “three-minute quiz” as a bell ringer type activity at the beginning of class can help form good learning habits and help make classroom management easier.
-
Make a habit of learning student names—it can pay off in many ways in improving classroom behavior—and even helping with student retention.
References
- See references for 2B-6.
Week 3 lesson 1
3B-1: Race Cars, Hikers, and Intellectual Humility
Key Concepts
-
The rigidity of dendritic spines that can help a person remember better can have the inadvertent side-effect of reducing their mental flexibility. Ultimately, the neural bath of chemicals that provides for an exceptionally good memory can, it seems, sometimes make it more difficult to let go of a decision in order to rethink things.
-
Race cars often have good memories. But having a good memory can lead to a disadvantage—it can make you less flexible in your thinking. Race cars can thus be fast—but less accurate in their learning and decision-making.
-
Hikers can often be more flexible in their thinking. These learners can be more accurate in the long run. They can also more easily draw back to see the big picture.
-
Both race car and hiker learners can get to the finish line and learn the material—they just do so differently
-
Groups of animals often have some faster, and some slower learners. In this way, the group can use the best strategy to be successful in a given situation—fast, inaccurate, but good enough for the circumstances, or slower and more accurate.
References
Books and videos for general audiences about some of these ideas:
-
Grant, A. (2021). Think Again: The Power of Knowing What You Don’t Know, Viking. (A good overall discussion of the higher tendency for inflexibility in highly intelligent individuals.)
-
Small, SA. Forgetting: The Benefits of Not Remembering: Crown, 2021. (This book contains an outstanding discussion of fast versus slow diagnoses in medicine and their relationship to hippocampal learning. This book was a foundation for some of the ideas in this video.)
-
“Intelligent People Have Greater Difficulty Changing Their Beliefs,” YouTube presentation at the World Economic Forum by cognitive neuroscientist Tali Sharot, Jun 14, 2018.
Evolutionary groups mix fast (less inflexible) & slow (more flexible) learners
Birds:
- Dagues, MB, et al. “Individual differences in learning ability are negatively linked to behavioural plasticity in a frequency-dependent game.” Animal Behaviour 159, (2020): 97-103. (This also describes how more shy individuals are more flexible in their learning.)
Fish:
- Jones, NA, et al. “Individual behavioural traits not social context affects learning about novel objects in archerfish.” Behavioral Ecology and Sociobiology 75, no. 3 (2021): 1-11.
Humans:
-
Kahan, DM, et al “Motivated numeracy and enlightened self-government,” Behavioural Public Policy 1 (2017): 54–86. (This paper describes how, the smarter you are, the more you might struggle to update your beliefs.)
-
Joshua J. Clarkson, Zakary L. Tormala, and Christopher Leone, “A self-validation perspective on the mere thought effect,” Journal of Experimental Social Psychology 47 (2011): 449–54. (Beliefs become more extreme the longer we have them.
-
Jamie Barden and Richard E. Petty, “The mere perception of elaboration creates attitude certainty: Exploring the thoughtfulness heuristic,” Journal of Personality and Social Psychology 95 (2008): 489–509. (Beliefs become more entrenched the longer we have them.)
-
“Slow deciders make better strategists,” Harvard Business Review, July 8, 2016, hbr.org/2016/07/slow-deciders-make-better-strategists. (The value of “slow thinking.”)
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David J. Lick, Adam L. Alter, and Jonathan B. Freeman, “Superior pattern detectors efficiently learn, activate, apply, and update social stereotypes,” Journal of Experimental Psychology: General 147 (2018): 209–27. (The higher your IQ, the more likely you are to fall for stereotypes, because you’re faster at recognizing patterns.)
The book and paper below describe the thoughts of Nobel Prize winners who reflect on the value of their slow way of learning, despite the fact that their slowness made learning a struggle.
-
Hayek, FA. “Chapter 4: Two types of mind.” In New Studies in Philosophy, Politics, Economics and the History of Ideas, 50-56: University of Chicago Press, 1978.
-
Ramón y Cajal, S. (1989). Recollections of My Life, MIT Press.
3B-2: Introduction to Critical Thinking from a Neuroscientific Perspective
Key Concepts
-
Research evidence indicates that the more intelligent you are—that is, to a great extent, the faster you learn—the more inflexible you can be in your thinking.
-
We are (mostly) conscious of declarative (hippocampal) thinking, but not conscious of procedural system (basal ganglia) thinking.
-
The procedural system not only learns the things you are trying to learn, but it also develops a “value function,” which is used to store and predict optimal future choices and actions.
-
The procedural system affects our ability to think objectively, but we are completely oblivious to its influence.
References
-
A good overview of the procedural and declarative systems, and how they can interact in learning and critical thinking, can be found in Chapters 3 & 6 of Oakley, B, et al. Uncommon Sense Teaching: Penguin Random House, 2021.
-
Bromberg-Martin, ES and Sharot, T. “The Value of Beliefs.” Neuron 106, no. 4 (2020): 561-565.
-
Lerner, T. N., Holloway, A. L., & Seiler, J. L. (2020). Dopamine, updated: Reward prediction error and beyond. Curr Opin Neurobiol, 67, 123-130.
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Wang, S. H., & Morris, R. G. (2010). Hippocampal-neocortical interactions in memory formation, consolidation, and reconsolidation. Annu Rev Psychol, 61, 49-79.
-
See also the references for Video 3B-1.
3B-3: Why Critical Thinking Isn’t Easy
Key Concepts
-
People’s differing value functions, arising from the data they have fed into their procedural systems over the years, can make it difficult for them to understand differing perspectives, or to think objectively about a topic.
-
The amygdala and other parts of the brain can further bias a person’s value function.
-
Inflexibility of beliefs happens even (and especially) amongst top researchers, who have a vested interest in blocking approaches that might contradict their own approaches.
References
-
A good overview of the procedural and declarative systems, and how they can interact in learning and critical thinking, can be found in Chapters 3 & 6 of Oakley, B., Rogowsky, B., Sejnowski, T., Uncommon Sense Teaching: Penguin Random House, 2021.
-
Lerner, T. N., Holloway, A. L., & Seiler, J. L. (2020). Dopamine, updated: Reward prediction error and beyond. Curr Opin Neurobiol, 67, 123-130.
-
Sunstein, CR. Going to Extremes. New York, NY: Oxford University Press, 2009.
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Wang, S. H., & Morris, R. G. (2010). Hippocampal-neocortical interactions in memory formation, consolidation, and reconsolidation. Annu Rev Psychol, 61, 49-79.
-
See also the references for Video 3B-1
3B-4: How Difficult It Can Be to “Think Different” as a Teacher
Key concepts
- It can be very difficult to go against what a group is trying to convince you to do. But thinking for yourself in these situations can sometimes prove invaluable.
References
-
Asch, SE. “Opinions and social pressure.” Scientific American 193, no. 5 (1955): 31-35.
-
Laursen, B and Faur, S. “What does it mean to be susceptible to influence? A brief primer on peer conformity and developmental changes that affect it.” International Journal of Behavioral Development 46, no. 3 (2022): 222-237.
-
Theriault, JE, et al. “The sense of should: A biologically-based framework for modeling social pressure.” Physics of Life Reviews 36, (2021): 100-136.
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Wong, HK and Wong, RT. The First Days of School: How to Be an Effective Teacher. 5th ed.: Harry K. Wong Publications, 2018.
week 3 part 2
3B-5: Biases and Fixed Mindsets in Research
Key Concepts
- There are many underlying biases:
o Confirmation bias
o Desirability bias
o “I’m not biased” bias
o Altruism bias
-
We can be biased early on to think some approach is simply and obviously true, and it can be hard for people—especially highly intelligent people—to change.
-
Once people have a little bias, they can begin looking only for solutions and approaches that support their biases, which makes their bias even stronger.
-
With the growth of a fixed mindset due to a procedural system being trained on a limited set of input data, an inflexible researcher or teacher might find ways to avoid critical examination of their work, instead of responding logically to the criticism.
References
Science is held back by inflexible thinkers:
-
Azoulay, P, et al. “Does science advance one funeral at a time?” American Economic Review 109, no. 8 (2019): 2889-2920.
-
Begley, S. “The maddening saga of how an Alzheimer’s ‘cabal’ thwarted progress toward a cure for decades.” Stat (2019).
-
Doidge, N. The Brain that Changes Itself. NY: Penguin, 2007.
-
Specter, M. “Rethinking the brain: How the songs of canaries upset a fundamental principle of science.” _The New Yorke_r, 2001, 42-53.
Confirmation bias:
- Kappes, A, et al. “Confirmation bias in the utilization of others’ opinion strength.” Nature Neuroscience 23, no. 1 (2020): 130-137. This paper suggests that confirmation bias “was not due to reduced attention or memory to disconfirming opinions. Rather, we speculate that contradictory opinions are more likely to be considered categorically wrong and thus the strengths of those opinions are considered unimportant.”
Desirability bias:
-
Tappin, BM et al. “The heart trumps the head: Desirability bias in political belief revision,” Journal of Experimental Psychology: General 146 (2017): 1143–49.
-
Kunda, Z. “The case for motivated reasoning,” Psychological Bulletin 108 (1990): 480–98.
Altruism bias:
-
Oakley, BA. “Concepts and implications of altruism bias and pathological altruism.” Proceedings of the National Academy of Sciences 110, Supplement 2 (2013): 10408-10415.
-
Oakley, B, et al., eds. Pathological Altruism: Oxford University Press, 2012.
“I’m not biased” bias (as cited in Grant, A. Think Again: The Power of Knowing What You Don’t Know: Viking, 2021.)
-
Emily Pronin, Daniel Y. Lin, and Lee Ross, “The bias blind spot: Perceptions of bias in self versus others,” Personality and Social Psychology Bulletin 28 (2002): 369–81.
-
West, RF, et al. “Cognitive sophistication does not attenuate the bias blind spot,” Journal of Personality and Social Psychology 103 (2012): 506–19.
Flagrant misconduct at the Karolinska Institute, and other cases of fraud, bias, negligence and hype in science:
-
Bergstrom, CT and West, JD. Calling Bullshit: The Art of Skepticism in a Data-Driven World: Random House, 2020.
-
Ritchie, SJ. Science Fictions: Exposing Fraud, Bias, Negligence and Hype in Science: Metropolitan Books, 2020. (See “Chapter 3: Fraud” for the discussion of the Karolinska Institute and its coverup of Paolo Macchiarini.
-
Robert, JS. “Misconduct in research administration: What is it? How widespread is it? And what should we do about it?” Account Res, (2022): 1-20.
The challenge of the “successfully sinister” in institutional settings
- Oakley, B. Evil Genes: Why Rome Fell, Hitler Rose, Enron Failed, and My Sister Stole My Mother’s Boyfriend. Amherst, NY: Prometheus Books, 2007. Despite the tongue-in-cheek title, this book provides a good overview of personality-disordered leaders and the institutional or societal level damage they can wreak.
3B-6: The Challenge of Fixed Mindsets in Expert Educators
Key Concepts
-
Understanding the world through reason can be equated to conscious, declarative, hippocampal-based learning and thinking. Understanding the world through experience appears to draw on understanding the world through the procedural learning system and its value functions.
-
People can trust their “common sense,” real-life experience—the intuition that arises from their procedural system—over other, scientific insights that have been found and conveyed through scientific data and reasoning.
-
A frequent problem in education is that teachers can begin skipping steps when working with new programs, and then blame the program when it doesn’t work, instead of realizing that steps can’t be skipped.
-
It is very difficult to convince people of something new—even highly intelligent, experienced researchers and teachers—if their mind is already made up in a different way.
-
In education in particular, it’s important to be wary of approaches that sound too good to be true—approaches that may accord with our experiences—but not, perhaps, with objective reason. Research studies are not infallible. As MIT’s Vice President for Open Learning Sanjay Sarma points out: “I question a lot of the structures and dogmas in education that are very closely held, but not necessarily based on science.”
References
For a discussion of what neuroscience has to say about math and reform approaches to teaching mathematics, see chapters 1-6 in particular of Oakley, B, et al. Uncommon Sense Teaching: Penguin Random House, 2021.
The research literature on the reading wars, as we mentioned in the videos, is vast. We recommend the two following popular articles as well as Dan Willingham’s book, which describe research findings about the “Reading Wars” while giving insightful context:
-
Lemann, N. “The reading wars.” The Atlantic (1997).
-
Goldstein, D. “An old and contested solution to boost reading scores: Phonics.” The New York Times (2020).
-
Willingham, DT. When Can You Trust the Experts? How to Tell Good Science from Bad in Education: John Wiley & Sons, 2012. (This book contains an excellent discussion and references involving the “Reading Wars,” as well as reason- versus experience-based approaches to teaching.)
Other references related to the topics covered in the videos:
-
Arias, JJ, et al. “Online vs. face-to-face: A comparison of student outcomes with random assignment.” e-Journal of Business Education & Scholarship of Teaching 12, no. 2 (2018): 1-23. (This study cites extremely poor online pedagogy ostensibly revealing that online learning isn’t as good as face-to-face.)
-
De Bruyckere, P, et al. Urban Myths about Learning and Education: Academic Press, 2015.
-
De Bruyckere, P, et al. More Urban Myths about Learning and Education: Challenging Eduquacks, Extraordinary Claims, and Alternative Facts%20Support%20Material-,Book%20Description,the%20truth%20about%20each%20topic.): Routledge, 2019.
-
Bergstrom, CT and West, JD. Calling Bullshit: The Art of Skepticism in a Data-Driven World: Random House, 2020.
-
Dalrymple, T. False Positive: A Year of Error, Omission, and Political Correctness in the New England Journal of Medicine: Encounter Books, 2019.
-
Dunn, R, et al. “A meta-analytic validation of the Dunn and Dunn model of learning-style preferences.” The Journal of Educational Research 88, no. 6 (1995): 353-362.
-
Kavale, KA, et al. “Meta-Analytic Validation of the Dunn and Dunn Model of Learning-Style Preferences: A Critique of What Was Dunn.” Learning Disabilities Research and Practice 13, no. 2 (1998): 75-80.
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Kavale, KA and LeFever, GB. “Dunn and Dunn model of learning-style preferences: Critique of Lovelace meta-analysis.” The Journal of Educational Research 101, no. 2 (2007): 94-97.
-
Ritchie, S. Science Fictions: How Fraud, Bias, Negligence, and Hype Undermine the Search for Truth: Metropolitan Books, 2020.
3B-7: Thinking Consciously and Critically about (and in!) Teams
Key Concepts
-
Collaborative learning in groups meshes nicely with the We do stage of direct instruction.
-
Being able to work with others in a team is highly valued! But teaching students to work well together toward a team related goal or project doesn’t mean just plopping them into groups and telling them to get started.
-
K-12 educators can tend to use the term “groups” for most types of pooled or collaborative work.
-
Post-secondary and industry tend to think of “groups” as being students who pool their efforts with little real interaction. They prefer the word “teams” for collaborative work toward a goal. From this perspective, with a group, the whole is often equal to or less than the sum of its parts; with a team, the whole is always greater.
-
Standard practice in teamwork is for the teacher to select the teams—not allowing students to self-select which team they are on.
-
Using the following three forms and checklists can be helpful in allowing students to develop a conscious, declarative understanding of smoothly functioning teams:
o Team Expectations Agreement
o Evaluation of Progress Toward Effective Team Functioning
o Peer Rating of Team Members
- One of the most important aspects of team behavior you can teach students is how they can set firm limits when it comes to unacceptable behavior.
References
Main references
-
Oakley, B, Rogowsky, B., Sejnowski, T. Uncommon Sense Teaching: Penguin Random House, 2021. (See in particular Chapter 8: Linking Learners: The Power of Collaborative Learning.)
-
Oakley, B, et al. “Turning student groups into effective teams.” Journal of Student Centered Learning 2, no. 1 (2004): 9-34.This highly cited paper will walk you through a step-by-step understanding of how to use the forms and checklists described in this video.
Other references
-
Culhane, J. “How to create effective study group strategies.” StatMed Learning (2020 ).
-
Mintz, V. “Why I’m learning more with distance learning than I do in school.” New York Times (2020).
3B-8: Using a Case Study to Teach Students How to Resolve Group Dysfunction
Key Concepts
-
One of the most common challenges in teamwork is when some members of the team do not pull their weight.
-
Always give your students tools to handle group and team peers who do not contribute—one of the best and easiest such tools is to allow group or team members to leave off the name of a student who doesn’t contribute substantively to an assignment.
-
A case study approach involving a dysfunctional team and the mistakes they made in working together—and how they could have avoided these mistakes—can allow your students to learn how to set expectations for the group and boundaries about what type of behavior is acceptable.
-
Trying to create “safe spaces” on teams can backfire and worsen team dynamics. This is because students can become afraid to give much-needed criticism when some students take advantage of others on the team, because non-performing students could say they are being made to feel uncomfortable.
-
Empathy is a double-edged sword. Trying to teach it can only end up reinforcing empathy in students who are already (sometimes overly) empathetic. In groups and cliques, empathy can fuel an excessive desire for acceptance that makes it difficult to say no to inappropriate behavior both inside and outside the classroom.
-
By teaching students about the value of boundaries, you can help them gain strength and wisdom and avoid falling into codependent relationships as they mature.
References
-
Oakley, B, et al. Uncommon Sense Teaching: Penguin Random House, 2021. (See in particular Chapter 8: Linking Learners: The Power of Collaborative Learning.)
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Oakley, B, et al. “Turning student groups into effective teams.” Journal of Student Centered Learning 2, no. 1 (2004): 9-34. This highly cited paper will walk you through a step-by-step understanding of how to use the forms and checklists described in these videos.
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Oakley, B. Evil Genes: Why Rome Fell, Hitler Rose, Enron Failed, and My Sister Stole My Mother’s Boyfriend. Amherst, NY: Prometheus Books, 2007. See in particular Chapter 1 for a discussion of research efforts to understand how people can take advantage of others
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Paulus, PB, et al. “Understanding the group size effect in electronic brainstorming.” Small Group Research 44, no. 3 (2013): 332-352. This paper notes: “Although it is generally presumed that brainstorming with others will enhance the number and quality of the ideas generated, controlled studies that compare interactive brainstorming with nominal groups have shown that verbal brainstorming in groups actually hinders the number of ideas generated.”
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Wu, L, et al. “Large teams develop and small teams disrupt science and technology.” Nature 566,(2019): 378-382. This Nature study of millions of research papers and patents bears out the idea that the bigger the group, the less creative it is.
Week 4
week 4 part 1
4B-1 Dyslexia and Its Relationship with Declarative Learning
Key Concepts
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Some students, due to their biological underpinnings can or are forced to rely exceptionally heavily on either their declarative or their procedural pathways, as opposed to effectively using both pathways.
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For teachers of these students, the best approach is to nurture these students’ ways of learning, rather than forcing them to learn like the majority of other students.
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Those with dyslexia seem to rely more on the declarative system for their learning. They also are more prone to having other disorders that may involve the procedural system.
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Language and reading tests are rarely designed to show the special capabilities of those with dyslexia to perform better on novel tasks or to see matters as wholes rather than parts.
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Where typical common-sense teachers may see only deficits, you, as the uncommon sense teacher that you are, are on the lookout for your students’ hidden gifts.
References
Dyslexia more generally
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ADDitude Editors. “How movies ‘saved’ Steven Spielberg from shame: The iconic Hollywood director didn’t let a learning disability hold him back. Here, Steven Spielberg’s advice for others struggling with LDs.” Additude: Inside the ADHD Mind (2020).
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Brennan, C and Harrison, W. “The dyslexic surgeon.” The Bulletin of the Royal College of Surgeons of England 102, no. 3 (2020): 72-75.
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Schneps, M. “The advantages of dyslexia. With reading difficulties can come other cognitive strengths.” Scientific American 19,(2014). This is a brief but worthwhile overview article.
Dyslexia and the declarative/procedural system
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Gabay, Y. “Delaying feedback compensates for impaired reinforcement learning in developmental dyslexia.” Neurobiology of Learning and Memory,(2021): 107518.
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Ullman, MT. “The declarative/procedural model: A neurobiologically motivated theory of first and second language.” In Theories in Second Language Acquisition: An Introduction, edited by VanPatten, B; Keating GD; and Wulff, S; 128-161: Routledge, 2020.
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Ullman, MT, et al. “The neurocognition of developmental disorders of language.” Annu Rev Psychol 71,(2020): 389-417.
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West, G, et al. “Is a procedural learning deficit a causal risk factor for developmental language disorder or dyslexia? A meta-analytic review.” Developmental Psychology 57, no. 5 (2021): 749. (This study cautions that we don’t yet have enough information to make the definitive call that a generalized procedural learning deficit is a causal risk factor for developmental dyslexia or developmental language disorder.)
4B-2 Attention Deficit Disorder and Other Syndromes that May Rely More Heavily on Declarative Learning
Key Concepts
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In the US, students diagnosed with many learning-related syndromes must by law have accommodations and modifications to their instruction. But while some clearly learningchallenged students evade diagnosis, others can have what are called “subclinical” symptoms—not quite enough for a full-blown diagnosis, but clearly indicative of learning differences. In these types of situations, differentiation comes to the fore.
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Many famous individuals have succeeded not only despite, but perhaps because of the characteristics of their syndrome. As Dutch football coach Johan Cruijiff has observed: “There is an advantage to every disadvantage.”
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Syndromes apparently involved in a heavier reliance on declarative learning appear to include:
○ Dyslexia
○ Attention deficit disorder
○ Dyscalculia
○ Dysgraphia
○ Developmental language disorder
○ Articulation disorder and developmental stuttering
○ Obsessive-compulsive disorder
○ Dyspraxia
Serious disorders to be on the lookout for include
○ Anorexia
○ Bulimia
○ Depression
○ Post-traumatic stress disorder
References
Broader references about the various syndromes as well as biographical resources
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Barnett, K. The Spark: A Mother’s Story of Nurturing Genius: Random House, 2013.
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Frith, Maxine, “Beckham reveals his battle with obsessive disorder,” The Independent, 2006.
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Huberman, Andrew, “ADHD & How Anyone Can Improve Their Focus | Huberman Lab Podcast #37,” Sep 13, 2021. We enjoy all of Andrew Huberman’s work, and this insightful podcast is no exception.
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Nuzzo, R. “Biography of Carol W. Greider.” Proceedings of the National Academy of Sciences 102, no. 23 (2005): 8077-8079.
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Turrill, K. “Daniel Radcliffe health: ‘It’s never held me back’ Harry Potter star’s hidden condition,” Express, 2020.
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West, TG. In the Mind’s Eye: Creative Visual Thinkers, Gifted Dyslexics, and the Rise of Visual Technologies: Prometheus books, 2020.
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West, TG, Seeing What Others Cannot See: The Hidden Advantages of Visual Thinkers and Differently Wired Brains, Prometheus, 2017. (Source of the quip: “Never trust a surgeon who can spell.”)
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West, TG, Blog post: In the Mind’s Eye, Dyslexic Renaissance about Baruj Benacerraf, M.D., 1920-2011, August 4th, 2011.
Anorexia, bulimia, OCD, and anxiety
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Berner, LA, et al. “Subcortical shape abnormalities in bulimia nervosa.” Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 4, no. 12 (2019): 1070-1079.
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Kaye, WH, et al. “Comorbidity of anxiety disorders with anorexia and bulimia nervosa.” American Journal of Psychiatry 161, no. 12 (2004): 2215-2221.
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Leppanen, J, et al. “Basal ganglia volume and shape in anorexia nervosa.” Appetite 144,(2020): 104480.
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Liu, W, et al. “Disrupted pathways from frontal-parietal cortex to basal ganglia and cerebellum in patients with unmedicated obsessive compulsive disorder as observed by whole-brain resting-state effective connectivity analysis–a small sample pilot study.” Brain Imaging and Behavior 15, no. 3 (2021): 1344-1354.
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Steinglass, JE, et al. “Temporal discounting across three psychiatric disorders: anorexia nervosa, obsessive compulsive disorder, and social anxiety disorder.” Depression and Anxiety 34, no. 5 (2017): 463-470.
Video games and attentional disorders
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Kietglaiwansiri, T and Chonchaiya, W. “Pattern of video game use in children with attention‐deficit–hyperactivity disorder and typical development.” Pediatrics International 60, no. 6 (2018): 523-528.
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Mishra, J, et al. “Training sensory signal-to-noise resolution in children with ADHD in a global mental health setting.” Translational Psychiatry 6, no. 4 (2016): e781-e781.
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Nahum, M and Bavelier, D. “Video games as rich environments to foster brain plasticity.” In Handbook of Clinical Neurology, 168, 117-136: Elsevier, 2020.
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Razjouyan, K, et al. “An investigation into the frequency of addiction to video games in children with attention-deficit hyperactivity disorder.” Journal of Family Medicine and Primary Care 9, no. 2 (2020): 669–672.
Attentional disorders
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Hoogman, M, et al. “Creativity and ADHD: A review of behavioral studies, the effect of psychostimulants and neural underpinnings.” Neuroscience & Biobehavioral Reviews,(2020).
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Metin, B, et al. “Dysfunctional modulation of default mode network activity in attention-deficit/hyperactivity disorder.” Journal of Abnormal Psychology 124, no. 1 (2015): 208.
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Pievsky, MA and McGrath, RE. “The neurocognitive profile of attention-deficit/hyperactivity disorder: A review of meta-analyses.” Arch Clin Neuropsychol 33, no. 2 (2018): 143-157.
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Sidlauskaite, J, et al. “Default mode network abnormalities during state switching in attention deficit hyperactivity disorder.” Psychological Medicine 46, no. 3 (2016): 519-528.
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Sutcubasi, B, et al. “Resting-state network dysconnectivity in ADHD: A system-neuroscience-based meta-analysis.” World J Biol Psychiatry 21, no. 9 (2020): 662-672.
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Takács, Á, et al. “Procedural learning in Tourette syndrome, ADHD, and comorbid Tourette-ADHD: Evidence from a probabilistic sequence learning task.” Brain and Cognition 117,(2017): 33-40.
Default mode network and creativity
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Kühn, S, et al. “The importance of the default mode network in creativity—A structural MRI study.” The Journal of Creative Behavior 48, no. 2 (2014): 152-163.
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Takeuchi, H, et al. “Failing to deactivate: The association between brain activity during a working memory task and creativity.” NeuroImage 55, no. 2 (2011): 681-687.
Parkinson’s and Alzheimer’s
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Ferrazzoli, D, et al. “Basal ganglia and beyond: The interplay between motor and cognitive aspects in Parkinson’s disease rehabilitation.” Neuroscience & Biobehavioral Reviews 90,(2018): 294-308.
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Moreno-Jimenez, EP, et al. “Adult hippocampal neurogenesis is abundant in neurologically healthy subjects and drops sharply in patients with Alzheimer’s disease.” Nat Med 25, no. 4 (2019): 554-560.
4B-3 Autistic Spectrum and Other Syndromes that May Strengthen Procedural Learning
Key Concepts
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Some students could have strengthened procedural learning abilities, perhaps, but not necessarily, related to declarative learning challenges.
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Students who may prefer or be forced to rely more strongly on their procedural systems may include those:
○ On the autistic spectrum
○ With Tourette syndrome
○ With lesser capacity working memory
- Other syndromes can also be associated with specific learning challenges that do not seem to be related to the declarative or procedural system in particular, including
○ Aphantasia (inability to visualize)
○ Selective mutism
- Some students on the autistic spectrum—as with many extraordinary scientists—are extremely uncomfortable working with others, or verbalizing declarative explanations.Trying to make them fit into the box of learning the same way others do can simply ruin their desire to attend school.
References
Those on the autistic spectrum prefer to be called “autistic,” rather than “a person with autism”
The blog Autistic not wierd: “To everyone who tells me not to say autistic person,” by Chris Bonello, Feb 16, 2020.
General references related to this video
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Arkowitz, H and Lilienfeld, SO. “What Do We Know about Tourette’s?” Scientific American Mind (2009).
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Barnett, K. The Spark: A Mother’s Story of Nurturing Genius: Random House, 2013.
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Clark, GM and Lum, JA. “Procedural learning in Parkinson’s disease, specific language impairment, dyslexia, schizophrenia, developmental coordination disorder, and autism spectrum disorders: A second-order meta-analysis.” Brain and Cognition 117,(2017): 41-48.
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Cepelewicz, J. “New map of meaning in the brain changes ideas about memory.” Quanta Magazine (2022). (This article is particularly interesting because, toward the very end, it discusses how aphantasia may relate to a shift in neural representations — “one that might not dwell so much on the combined visual and semantic responses, suggesting a quicker transition to abstract thought.“)
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Darrow, SM, et al. “Autism spectrum symptoms in a Tourette’s disorder sample.” Journal of the American Academy of Child & Adolescent Psychiatry 56, no. 7 (2017): 610-617. e611.
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De Wit, L, et al. “Procedural learning in individuals with amnestic mild cognitive impairment and Alzheimer’s dementia: A systematic review and meta-analysis.” Neuropsychology Review,(2020).
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Ferrazzoli, D, et al. “Basal ganglia and beyond: the interplay between motor and cognitive aspects in Parkinson’s disease rehabilitation.” Neuroscience & Biobehavioral Reviews 90,(2018): 294-308.
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Herera, S. “Mild autism has ‘selective advantages’: Nobel Prize-winning economist Vernon Smith, who has Asperger Syndrome, the mildest form of autism, talks with CNBC’s Sue Herera about what he calls the deficiencies and the advantages of the disease.” NBC News(2005).
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Sacks, O. “Witty Ticcy Ray.” London Review of Books 3, no. 5 (1981).
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Takacs, A, et al. “Lower‐level associations in Gilles de la Tourette syndrome: Convergence between hyperbinding of stimulus and response features and procedural hyperfunctioning theories.” European Journal of Neuroscience 54, no. 3 (2021): 5143-5160.
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Zola, S and Golden, M. “The use of visual maps as habit based assistive technology for individuals with Alzheimer’s disease, Alzheimer’s disease related dementias, and their caregivers.” Alzheimer’s & Dementia 15, no. 7, Supplement (2019): P1
week 4 part 2
4B-4: Focusing on Your Objectives
Key Concepts
- Lesson planning can benefit from logical pre-planning related to many of the ideas we’ve discussed in this course. In this module, we review these key lesson-planning-related topics:
1. Standard | 6. Hook |
2. Objective | 7. Lesson body |
3. Focus question | 8. Closure |
4. Assessments & collaborative activities | 9. Reflect |
5. Bell ringer | 10. Celebrate |
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Standards are usually set by national organizing bodies—they outline what a student is supposed to know or be able to do.
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It’s often best to unpack the meaning of a standard into a simple, concrete sentence, called an objective.
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At the heart of an objective are verbs such as identify, recall, apply or synthesize that communicate what students should know or be able to do at the end of the lesson.
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We recommend turning objectives into focus questions, because good questions can help spark curiosity.
References
- Overall information on writing lesson plans—see Chapter 10, Oakley, B, Rogowsky, B, Sejnowski, T. Uncommon Sense Teaching: Penguin Random House, 2021.
Writing Clear Learning Objectives
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Comprehensive list of verbs from the University of Rochester.
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Felder, RM and Brent, R. “Random Thoughts: Objectively Speaking.” Chemical Engineering Education 31, no. 3 (1997): 178-179.
4B-5: Assessments
Key Concepts
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Summative assessments generally mean final exams or other means of assessing at the end of a grading period.
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Begin with the end in mind—that is, using “backwards mapping.” This means planning your assessments before you even begin the lesson. This helps ensure that your assessments are aligned with your standards and objectives.
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Teaching to the test (or whatever the summative assessment is) is a good thing—if the assessment is a good one.
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Your students can’t read your mind! Just a slight variation that you may have taught in years past but slipped your mind this go-around, can be enough to throw even hard-working students off their game.
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Practice tests have been shown by research to be one of the best ways to help students learn. Giving students some of your old tests to practice with will help them learn your expectations and approach to testing—which is only fair.
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Formative assessments involve approaches like retrieval practice with corrective feedback occurring DURING a lesson and throughout a unit of study. Plan where and when you will use your formative assessments.
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Be deliberate at the start of your lesson planning about when you are going to use collaborative activities.
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It is a good idea to prepare your students for group work by using a case study to teach them how to set boundaries and not be taken advantage of.
References
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Overall information on writing lesson plans—see Chapter 10, Oakley, B, et al. Uncommon Sense Teaching: Penguin Random House, 2021.
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Wiggins, G., & McTighe, J. (2005). Understanding by Design. Association for Supervision and Curriculum Development. (Provides information on “backwards mapping.”)
4B-6: Bell Ringers, Habits, and Hooks
Key Concepts
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A “bell ringer” activity is an essential step in getting students to begin working immediately as soon as class begins.
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Plan a hook that captures students’ attention. Hooks are not necessarily obvious or easy to develop, but you can use them again and again on new classes each year.
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Immediately post-hook, you’ll want to ask and unpack the focus question, making sure your students understand it. Make sure to explain new vocabulary.
References:
- Overall information on writing lesson plans—see Chapter 10, Oakley, B, Rogowsky, B, Sejnowski, T. Uncommon Sense Teaching: Penguin Random House, 2021.
Planned questions by master teachers:
- Hattie, J. Visible Learning for Teachers: Maximizing Impact on Learning: Routledge, 2012. (pp. 83-84)
4B-7: Link Your Learners through to the Finish Line!
Key Concepts
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The main body of your lesson plan can profitably center on direct instruction: I do We do You do—or, put more simply, Learn it, Link it.
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Sprinkle formative assessments through your lesson plans, including activities like:
o “My favorite no”
o Retrieval practice such as self-testing and quizzing with a partner
o Creating a foldable
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Make wise use—but not overuse—of collaborative activities through the We do stage.
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Use the “How to Manage Yourself on a Collaborative Team” case study if your are planning team projects to help ward off common pitfalls in teamwork.
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Always give your students tools to handle group and team peers who do not contribute, such as the ability to leave off the name of a student who doesn’t contribute substantively to an assignment.
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In our neurodiverse classrooms, one size definitely does not fit all as far as teaching is concerned. Collaborative activities, for example, may turn some students off of learning.
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When possible try to include broad perspectives that will develop critical thinking skills.
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Try to develop high quality materials for race cars as you might be preoccupied with hikers.
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When you are closing a lesson, don’t forget to do a quick wrap up, perhaps by asking students questions that allow them to retrieve and review the key ideas they’ve just learned.
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Jot down notes right after teaching the lesson plan. Note where students struggled on exams, ask yourself and colleagues, “What scaffolds or enrichment can I add?”
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Don’t forget to celebrate both your students’ and your achievements!
References
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Overall information on writing lesson plans—see Chapter 10, Oakley, B, Rogowsky, B, Sejnowski, T. Uncommon Sense Teaching: Penguin Random House, 2021.
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Mourshed, M, et al. How to Improve Student Educational Outcomes: New Insights from Data Analytics. McKinsey & Company, 2017. https://www.mckinsey.com/industries/education/our-insights/how-to-improve-student-educational-outcomes-new-insights-from-data-analytics#
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Reiss, T. The Black Count: Glory, Revolution, Betrayal, and the Real Count of Monte Cristo (Pulitzer Prize for Biography): Crown, 2012.
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Wurman, Ze’ev “Why Is the U.S. K-12 education on a math-science death march and what can we do about it?” (Public lecture) (2017). After Ashman, G. “PISA data contains a positive correlation.” In Filling the Pail, 2016.