Links de estudos sobre aprendizado

Listo aqui as referências dadas pela equipe do curso Learning How to Learn, da University of California, San Diego. É uma referência para mim que pode ser útil a outros. Não me importei em traduzir ou ajustar as partes abaixo.

Worthwhile Additional Popular Works

Heavier Duty References

Video: Introduction to the Focused and Diffuse Modes

  • Andrews-Hanna, J.R. “The Brain’s Default Network and Its Adaptive Role in Internal Mentation.”Neuroscientist 18, no. 3 (Jun 2012): 251-70.
  • Immordino-Yang, M. H., J. A. Christodoulou, and V. Singh. “Rest Is Not Idleness: Implications of the Brain’s Default Mode for Human Development and Education.” Perspectives on Psychological Science 7, no. 4 (2012): 352-64.
  • Moussa MN, Steen MR, Laurienti PJ, Hayasaka S (2012) “Consistency of Network Modules in Resting-State fMRI Connectome Data.” PLoS ONE 7(8): e44428. doi:10.1371/journal.pone.0044428.
  • Raichle, Marcus E, and Abraham Z Snyder. “A Default Mode of Brain Function: A Brief History of an Evolving Idea.” NeuroImage 37, no. 4 (2007): 1083-90.

Video: Using the Focused and Diffuse Modes: (Or, a little Dalí will do ya)

  • Dali, Salvador. Fifty Secrets of Magic Craftsmanship. Dover, 1948 (reprint 1992).
  • Root-Bernstein, Robert S., and Michelle M. Root-Bernstein. Sparks of Genius. NY: Houghton Mifflin, 1999.
  • Takeuchi, H., Y. Taki, H. Hashizume, Y. Sassa, T. Nagase, R. Nouchi, and R. Kawashima. “The Association between Resting Functional Connectivity and Creativity.” Cerebral Cortex 22, no. 12 (Jan 10 2012): 2921-29.

Video: What is Learning?

  • Michael D. Fox and Michael Greicius, Clinical applications of resting state functional connectivity , Front. Syst. Neurosci., 16 June 2010.
  • Fox, M. D., Corbetta, M., Snyder, A. Z., Vincent, J. L., and Raichle, M. E. (2006a). Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems. Proceedings of the National Academy of Sciences U.S.A.103, 10046–10051.
  • Fox M. D., Snyder A. Z., Vincent J. L., Corbetta M., Van Essen D. C., Raichle M. E. (2005). The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proceedings of the National Academy of Sciences U.S.A. 102, 9673–967810.1073/pnas.0504136102.
  • Guang Yang et al. Sleep promotes branch-specific formation of dendritic spines after learning, Science344, 1173 (2014).

Video: A Procrastination Preview

  • Boice, Robert. Procrastination and Blocking. Westport, CT: Praeger, 1996.
  • Lyons, I.M., and S.L. Beilock. “When Math Hurts: Math Anxiety Predicts Pain Network Activation in Anticipation of Doing Math.” PLoS ONE 7, no. 10 (2012): e48076.
  • Steel, Piers. The Procrastination Equation. NY: Random House, 2010.
  • Steel, Piers. “The Nature of Procrastination: A Meta-Analytic and Theoretical Review of Quintessential Self-Regulatory Failure.” Psychological Bulletin 133, no. 1 (Jan 2007): 65-94.
  • Tuckman, Bruce W., and Henri C. Schouwenburg. “Behavioral Interventions for Reducing Procrastination among University Students.” In Counseling the Procrastinator in Academic Settings, edited by H.C. Schouwenburg, CH Lay, TA Pychyl and JR Ferrari Washington, DC: American Psychological Association, 2004.

Video: Practice Makes Permanent

  • Brown, J.S., A. Collins, and P. Duguid.”Situated Cognition and the Culture of Learning.” Educational Researcher 18, no. 1 (1989): 32-42.
  • Dunlosky, John, Katherine A Rawson, Elizabeth J Marsh, Mitchell J Nathan, and Daniel T Willingham. “Improving Students’ Learning with Effective Learning Techniques: Promising Directions from Cognitive and Educational Psychology.” Psychological Science in the Public Interest 14, no. 1 (2013): 4-58.
  • Ericsson, Karl Anders. Development of Professional Expertise. NY: Cambridge University Press, 2009.
  • Geary, David C. The Origin of Mind. Washington, DC: American Psychological Association, 2005.
  • Geary, David C, A Wade Boykin, Susan Embretson, Valerie Reyna, Robert Siegler, Daniel B Berch, and J Graban. “Task Group Reports of the National Mathematics Advisory Panel; Chapter 4: Report of the Task Group on Learning Processes.” In, (2008): 2008.http://www2.ed.gov/about/bdscomm/list/mathpanel/report/learning-processes.pdf.
  • Guida, A., F. Gobet, H. Tardieu, and S. Nicolas. “How Chunks, Long-Term Working Memory and Templates Offer a Cognitive Explanation for Neuroimaging Data on Expertise Acquisition: A Two-Stage Framework.” Brain and Cognition 79, no. 3 (Aug 2012): 221-44.
  • Karpicke, Jeffrey D. “Retrieval-Based Learning Active Retrieval Promotes Meaningful Learning.” Current Directions in Psychological Science 21, no. 3 (2012): 157-63.
  • Karpicke, Jeffrey D, and Phillip J Grimaldi. “Retrieval-Based Learning: A Perspective for Enhancing Meaningful Learning.” Educational Psychology Review 24, no. 3 (2012): 401-18.
  • Karpicke, Jeffrey D, and Henry L Roediger. “The Critical Importance of Retrieval for Learning.” Science319, no. 5865 (2008): 966-68.
  • Karpicke, Jeffrey D, Andrew C Butler, and Henry L Roediger III. “Metacognitive Strategies in Student Learning: Do Students Practice Retrieval When They Study on Their Own?”. Memory 17, no. 4 (2009): 471-79.
  • Karpicke, J. D., and J. R. Blunt. “Retrieval Practice Produces More Learning Than Elaborative Studying with Concept Mapping.” Science 331, no. 6018 (Feb 11 2011): 772-5.
  • Karpicke, J.D., and J.R. Blunt. “Response to Comment on ‘Retrieval Practice Produces More Learning Than Elaborative Studying with Concept Mapping’.” Science 334, no. 6055 (2011): 453-53.
  • Kornell, Nate, Matthew Jensen Hays, and Robert A Bjork. “Unsuccessful Retrieval Attempts Enhance Subsequent Learning.” Journal of Experimental Psychology: Learning, Memory, and Cognition 35, no. 4 (2009): 989.
  • Kornell, N., A. D. Castel, T. S. Eich, and R. A. Bjork. “Spacing as the Friend of Both Memory and Induction in Young and Older Adults.” Psychology and Aging 25, no. 2 (Jun 2010): 498-503.
  • McDaniel, M. A., and A. A. Callender. “Cognition, Memory, and Education.” In Cognitive Psychology of Memory, Vol 2 of Learning and Memory, edited by Henry L Roediger. 819-43. Oxford, UK: Elsevier, 2008.
  • Roediger, Henry L., and Mary A. Pyc. “Inexpensive Techniques to Improve Education: Applying Cognitive Psychology to Enhance Educational Practice.” Journal of Applied Research in Memory and Cognition 1, no. 4 (2012): 242-48.
  • Roediger, Henry L, and Andrew C Butler. “The Critical Role of Retrieval Practice in Long-Term Retention.”Trends in Cognitive Sciences 15, no. 1 (2011): 20-27.
  • Roediger, Henry L, and Jeffrey D Karpicke. “The Power of Testing Memory: Basic Research and Implications for Educational Practice.” Perspectives on Psychological Science 1, no. 3 (2006): 181-210.
  • Rohrer, Doug, and Harold Pashler. “Increasing Retention without Increasing Study Time.” Current Directions in Psychological Science 16, no. 4 (2007): 183-86.
  • Taylor, Kelli, and Doug Rohrer. “The Effects of Interleaved Practice.” Applied Cognitive Psychology 24, no. 6 (2010): 837-48.
  • See also extensive endnote references and discussions in Chapters 2 and 3, A Mind for Numbers, Barbara Oakley, Penguin, 2014.

Video: Introduction to Memory

  • Baddeley, A., Eysenck, M. W., & Anderson, M. C. (2009). Memory. NY: Psychology Press.
  • Carpenter, S. K., Cepeda, N. J., Rohrer, D., Kang, S. H. K., & Pashler, H. (2012). Using spacing to enhance diverse forms of learning: Review of recent research and implications for instruction. Educational Psychology Review, 24(3), 369-378. doi: 10.1007/s10648-012-9205-z
  • Cowan, N. (2001). The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24(1), 87-114.
  • Dudai, Y. (2004). The neurobiology of consolidations, or, how stable is the engram? Annual Review of Psychology, 55, 51-86.
  • Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students’ learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public Interest, 14(1), 4-58.
  • Guida, A., Gobet, F., Tardieu, H., & Nicolas, S. (2012). How chunks, long-term working memory and templates offer a cognitive explanation for neuroimaging data on expertise acquisition: A two-stage framework. Brain and Cognition, 79(3), 221-244. doi: 10.1016/j.bandc.2012.01.010
  • Rawson, K. A., & Dunlosky, J. (2011). Optimizing schedules of retrieval practice for durable and efficient learning: How much is enough? Journal of Experimental Psychology: General, 140(3), 283.
  • Rohrer, Doug, Robert F. Dedrick, and Kaleena Burgess. “The Benefit of Interleaved Mathematics Practice Is Not Limited to Superficially Similar Kinds of Problems.” Psychonomic Bulletin & Review in press (2013).
  • Rohrer, D., & Pashler, H. (2010). Recent research on human learning challenges conventional instructional strategies. Educational Researcher, 39(5), 406-412.

Video: The Importance of Sleep in Learning

  • Djonlagic, I., A. Rosenfeld, D. Shohamy, C. Myers, M. Gluck, and R. Stickgold. “Sleep Enhances Category Learning.” Learning & Memory 16, no. 12 (Dec 2009): 751-5.
  • Eichenbaum, H. “To Sleep, Perchance to Integrate.” PNAS, 104, no. 18 (May 1 2007): 7317-8.
  • Ellenbogen, J.M., P.T. Hu, J.D. Payne, D. Titone, and M.P. Walker. “Human Relational Memory Requires Time and Sleep.” PNAS, 104, no. 18 (2007): 7723-28.
  • Erlacher, Daniel, and Michael Schredl. “Practicing a Motor Task in a Lucid Dream Enhances Subsequent Performance: A Pilot Study.” The Sport Psychologist, 24, no. 2 (2010): 157-67.
  • Moss, R. The Secret History of Dreaming. Novato, CA: New World Library, 2008.
  • Scullin, M. K., and M. A. McDaniel. “Remembering to Execute a Goal: Sleep on It!” Psychological Science21, no. 7 (Jul 2010): 1028-35.
  • Stickgold, Robert, and Jeffrey M Ellenbogen. “Quiet! Sleeping Brain at Work.” Scientific American Mind 19, no. 4 (2008): 22-29.
  • Wamsley, Erin J., Matthew Tucker, Jessica D. Payne, Joseph A. Benavides, and Robert Stickgold. “Dreaming of a Learning Task Is Associated with Enhanced Sleep-Dependent Memory Consolidation.”Current Biology, 20, no. 9 (2010): 850-55.
  • Xie, Lulu, Hongyi Kang, Qiwu Xu, Michael J Chen, Yonghong Liao, Meenakshisundaram Thiyagarajan, John O’Donnell, et al. “Sleep Drives Metabolite Clearance from the Adult Brain.” Science, 342, no. 6156 (2013): 373-77.

Worthwhile Additional Popular Works

Heavier Duty References

Video: What is a Chunk?

  • Beilock, S. (2010). Choke. NY: Free Press.
  • Ericsson, K. A. (2009). Development of Professional Expertise. NY: Cambridge University Press.
  • Gobet, F., & Clarkson, G. (2004). Chunks in expert memory: Evidence for the magical number four… or is it two? Memory, 12(6), 732-747.
  • Gobet, F., Lane, P. C. R., Croker, S., Cheng, P. C. H., Jones, G., Oliver, I., & Pine, J. M. (2001). Chunking mechanisms in human learning. Trends in Cognitive Sciences, 5(6), 236-243.
  • Guida, A., Gobet, F., Tardieu, H., & Nicolas, S. (2012). How chunks, long-term working memory and templates offer a cognitive explanation for neuroimaging data on expertise acquisition: A two-stage framework. Brain and Cognition, 79(3), 221-244. doi: 10.1016/j.bandc.2012.01.010
  • Nyhus, E., & Curran, T. (2010). Functional role of gamma and theta oscillations in episodic memory.Neuroscience and Biobehavioral Reviews, 34(7), 1023-1035. doi: 10.1016/j.neubiorev.2009.12.014.

Video: How to Form a Chunk – Part 1

  • Baddeley, Alan, Michael W. Eysenck, and Michael C. Anderson. .  NY: Psychology Press, 2009.
  • Bransford, John D, A. L. Brown, R. R. Cocking, M Suzanne Donovan, and JW Pellegrino. “How People Learn.” Washington, DC:National Academy Press, 2000.
  • Brent, Rebecca, and Richard M. Felder. “Learning by Solving Solved Problems.” Chemical Engineering Education 46, no. 1 (2012): 29-30.
  • Cho, Soohyun, Arron W. S. Metcalfe, Christina B. Young, Srikanth Ryali, David C. Geary, and Vinod Menon. “Hippocampal-Prefrontal Engagement and Dynamic Causal Interactions in the Maturation of Children’s Fact Retrieval.” Journal of Cognitive Neuroscience 24, no. 9 (2012): 1849-66.
  • Cooper, Graham, and John Sweller. “Effects of Schema Acquisition and Rule Automation on Mathematical Problem-Solving Transfer.” Journal of Educational Psychology 79, no. 4 (1987): 347.
  • Cree, George S, and Ken McRae. “Analyzing the Factors Underlying the Structure and Computation of the Meaning of Chipmunk, Cherry, Chisel, Cheese, and Cello (and Many Other Such Concrete Nouns).”Journal of Experimental Psychology – General 132, no. 2 (2003): 163-200.
  • Gobet, F., and N. Charness, eds. Chess and Games. edited by K. Anders Ercisson, Neil Charness, Paul Feltovich and Robert R. Hoffman, Cambridge Handbook on Expertise and Expert Performance: Cambridge University Press, 2006.
  • Gobet, F., and G. Clarkson. “Chunks in Expert Memory: Evidence for the Magical Number Four… or Is It Two?”. Memory 12, no. 6 (2004): 732-47.
  • Gobet, F., P.C.R. Lane, S. Croker, P.C.H. Cheng, G. Jones, I. Oliver, and J.M. Pine. “Chunking Mechanisms in Human Learning.” Trends in Cognitive Sciences 5, no. 6 (2001): 236-43.
  • Gobet, Fernand. “Chunking Models of Expertise: Implications for Education.” Applied Cognitive Psychology 19, no. 2 (2005): 183-204.
  • Guida, A., F. Gobet, H. Tardieu, and S. Nicolas. “How Chunks, Long-Term Working Memory and Templates Offer a Cognitive Explanation for Neuroimaging Data on Expertise Acquisition: A Two-Stage Framework.” Brain and Cognition 79, no. 3 (Aug 2012): 221-44.
  • Mastascusa, Edward J., William J. Snyder, and Brian S. Hoyt. Effective Instruction for Stem Disciplines.  San Francisco, CA: Jossey Bass, 2011.
  • Nyhus, E., and T. Curran. “Functional Role of Gamma and Theta Oscillations in Episodic Memory.”Neuroscience and Biobehavioral Reviews 34, no. 7 (Jun 2010): 1023-35.
  • Sweller, John, Paul Ayres, and Slava Kalyuga. Cognitive Load Theory.  NY: Springer, 2011.

Video: How to Form a Chunk – Part 2

  • Baddeley, Alan, Michael W. Eysenck, and Michael C. Anderson. Memory  NY: Psychology Press, 2009.
  • Bransford, John D, A. L. Brown, R. R. Cocking, M Suzanne Donovan, and JW Pellegrino. “How People Learn.” Washington, DC: National Academy Press, 2000.
  • Brent, Rebecca, and Richard M. Felder. “Learning by Solving Solved Problems.” Chemical Engineering Education 46, no. 1 (2012): 29-30.
  • Cho, Soohyun, Arron W. S. Metcalfe, Christina B. Young, Srikanth Ryali, David C. Geary, and Vinod Menon. “Hippocampal-Prefrontal Engagement and Dynamic Causal Interactions in the Maturation of Children’s Fact Retrieval.” Journal of Cognitive Neuroscience 24, no. 9 (2012): 1849-66.
  • Cooper, Graham, and John Sweller. “Effects of Schema Acquisition and Rule Automation on Mathematical Problem-Solving Transfer.” Journal of Educational Psychology 79, no. 4 (1987): 347.
  • Cree, George S, and Ken McRae. “Analyzing the Factors Underlying the Structure and Computation of the Meaning of Chipmunk, Cherry, Chisel, Cheese, and Cello (and Many Other Such Concrete Nouns).”Journal of Experimental Psychology – General 132, no. 2 (2003): 163-200.
  • Gobet, F., and N. Charness, eds. Chess and Games. edited by K. Anders Ercisson, Neil Charness, Paul Feltovich and Robert R. Hoffman, Cambridge Handbook on Expertise and Expert Performance: Cambridge University Press, 2006.
  • Gobet, F., and G. Clarkson. “Chunks in Expert Memory: Evidence for the Magical Number Four… or Is It Two?”. Memory 12, no. 6 (2004): 732-47.
  • Gobet, F., P.C.R. Lane, S. Croker, P.C.H. Cheng, G. Jones, I. Oliver, and J.M. Pine. “Chunking Mechanisms in Human Learning.” Trends in Cognitive Sciences 5, no. 6 (2001): 236-43.
  • Gobet, Fernand. “Chunking Models of Expertise: Implications for Education.” Applied Cognitive Psychology 19, no. 2 (2005): 183-204.
  • Guida, A., F. Gobet, H. Tardieu, and S. Nicolas. “How Chunks, Long-Term Working Memory and Templates Offer a Cognitive Explanation for Neuroimaging Data on Expertise Acquisition: A Two-Stage Framework.” Brain and Cognition 79, no. 3 (Aug 2012): 221-44.
  • Mastascusa, Edward J., William J. Snyder, and Brian S. Hoyt. Effective Instruction for Stem Disciplines.  San Francisco, CA: Jossey Bass, 2011.
  • Nyhus, E., and T. Curran. “Functional Role of Gamma and Theta Oscillations in Episodic Memory.”Neuroscience and Biobehavioral Reviews 34, no. 7 (Jun 2010): 1023-35.
  • Rohrer, Doug, and Harold Pashler. “Recent Research on Human Learning Challenges Conventional Instructional Strategies.” Educational Researcher 39, no. 5 (2010): 406-12.
  • Sweller, John, Paul Ayres, and Slava Kalyuga. Cognitive Load Theory.  NY: Springer, 2011.

Video: Illusions of Competence, the Importance of Recall, Mini-testing, and Making Mistakes

  • Baddeley, A., Eysenck, M. W., & Anderson, M. C. (2009). Memory. NY: Psychology Press.
  • Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational Researcher, 18(1), 32-42.
  • Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students’ learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public Interest, 14(1), 4-58.
  • Dunning, D. (2011). Chapter 5: The Dunning-Kruger Effect: On Being Ignorant of One’s Own Ignorance(Vol. 44).
  • Geary, D. C., Boykin, A. W., Embretson, S., Reyna, V., Siegler, R., Berch, D. B., & Graban, J. (2008). Task Group Reports of the National Mathematics Advisory Panel; Chapter 4: Report of the Task Group on Learning Processes. 2008.
  • Guida, A., Gobet, F., Tardieu, H., & Nicolas, S. (2012). How chunks, long-term working memory and templates offer a cognitive explanation for neuroimaging data on expertise acquisition: A two-stage framework. Brain and Cognition, 79(3), 221-244. doi: 10.1016/j.bandc.2012.01.010
  • Karpicke, J. D. (2012). Retrieval-based learning active retrieval promotes meaningful learning. Current Directions in Psychological Science, 21(3), 157-163.
  • Karpicke, J. D., & Blunt, J. R. (2011). Response to comment on ‘Retrieval practice produces more learning than elaborative studying with concept mapping’. Science, 334(6055), 453-453.
  • Karpicke, J. D., & Blunt, J. R. (2011). Retrieval practice produces more learning than elaborative studying with concept mapping. Science, 331(6018), 772-775. doi: 10.1126/science.1199327
  • Karpicke, J. D., Butler, A. C., & Roediger III, H. L. (2009). Metacognitive strategies in student learning: Do students practice retrieval when they study on their own? Memory, 17(4), 471-479.
  • Karpicke, J. D., & Grimaldi, P. J. (2012). Retrieval-based learning: A perspective for enhancing meaningful learning. Educational Psychology Review, 24(3), 401-418.
  • Keresztes, A., Kaiser, D., Kovacs, G., & Racsmany, M. (2013). Testing promotes long-term learning via stabilizing activation patterns in a large network of brain areas. Cerebral Cortex((Advance access published Jun 24)). doi: 10.1093/cercor/bht158
  • Kornell, N., Hays, M. J., & Bjork, R. A. (2009). Unsuccessful retrieval attempts enhance subsequent learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 35(4), 989.
  • Mastascusa, E. J., Snyder, W. J., & Hoyt, B. S. (2011). Effective Instruction for STEM Disciplines. San Francisco, CA: Jossey Bass.
  • McDaniel, M. A., & Callender, A. A. (2008). Cognition, memory, and education. In H. L. Roediger (Ed.),Cognitive Psychology of Memory, Vol 2 of Learning and Memory (pp. 819-843). Oxford, UK: Elsevier.
  • Morris, E. (2010, June 20). “The Anosognosic’s Dilemma: Something’s Wrong but You’ll Never Know What It Is (Part 1),” The New York Times.
  • Pennebaker, J. W., Gosling, S. D., & Ferrell, J. D. (2013). Daily online testing in large classes: Boosting college performance while reducing achievement gaps. PLoS ONE, 8(11), e79774.
  • Pyc, M. A., & Rawson, K. A. (2010). Why testing improves memory: Mediator effectiveness hypothesis.Science, 330(6002), 335-335.
  • Roediger, H. L., & Butler, A. C. (2011). The critical role of retrieval practice in long-term retention. Trends in Cognitive Sciences, 15(1), 20-27.
  • Roediger, H. L., & Karpicke, J. D. (2006). The power of testing memory: Basic research and implications for educational practice. Perspectives on Psychological Science, 1(3), 181-210.
  • Roediger, H. L., & Pyc, M. A. (2012). Inexpensive techniques to improve education: Applying cognitive psychology to enhance educational practice. Journal of Applied Research in Memory and Cognition, 1(4), 242-248. doi: 10.1016/j.jarmac.2012.09.002
  • Rohrer, D., & Pashler, H. (2010). Recent research on human learning challenges conventional instructional strategies. Educational Researcher, 39(5), 406-412.

Video: The Value of a Library of Chunks: Compaction, Transfer, Creativity, and the Law of Serendipity

  • Bransford, John D, A. L. Brown, R. R. Cocking, M Suzanne Donovan, and JW Pellegrino. “How People Learn.” Washington, DC: National Academy Press, 2000.
  • Cooper, Graham, and John Sweller. “Effects of Schema Acquisition and Rule Automation on Mathematical Problem-Solving Transfer.” Journal of Educational Psychology 79, no. 4 (1987): 347.
  • Gobet, F., and N. Charness, eds. Chess and Games. edited by K. Anders Ercisson, Neil Charness, Paul Feltovich and Robert R. Hoffman, Cambridge Handbook on Expertise and Expert Performance: Cambridge University Press, 2006.
  • Gobet, F., and G. Clarkson. “Chunks in Expert Memory: Evidence for the Magical Number Four… or Is It Two?”. Memory 12, no. 6 (2004): 732-47.
  • Gobet, F., P.C.R. Lane, S. Croker, P.C.H. Cheng, G. Jones, I. Oliver, and J.M. Pine. “Chunking Mechanisms in Human Learning.” Trends in Cognitive Sciences 5, no. 6 (2001): 236-43.
  • Gobet, Fernand. “Chunking Models of Expertise: Implications for Education.” Applied Cognitive Psychology 19, no. 2 (2005): 183-204.
  • Guida, A., F. Gobet, H. Tardieu, and S. Nicolas. “How Chunks, Long-Term Working Memory and Templates Offer a Cognitive Explanation for Neuroimaging Data on Expertise Acquisition: A Two-Stage Framework.” Brain and Cognition 79, no. 3 (Aug 2012): 221-44.
  • Ischebeck, A., L. Zamarian, M. Schocke, and M. Delazer. “Flexible Transfer of Knowledge in Mental Arithmetic–an FMRI Study.” NeuroImage 44, no. 3 (Feb 1 2009): 1103-12.
  • Johnson, Steve. Where Good Ideas Come From.  NY: Riverhead, 2010.
  • Kounios, John, and Mark Beeman. “The Aha! Moment: The Cognitive Neuroscience of Insight.” Current Directions in Psychological Science 18, no. 4 (2009): 210-16.
  • Mastascusa, Edward J., William J. Snyder, and Brian S. Hoyt. Effective Instruction for Stem Disciplines.  San Francisco, CA: Jossey Bass, 2011.
  • Rocke, A.J. Image and Reality.  Chicago, IL: University of Chicago Press, 2010.
  • Simon, H.A. “How Big Is a Chunk?”. Science 183, no. 4124 (1974): 482-88.
  • Simon, H.A., and W.G. Chase. “Skill in Chess: Experiments with Chess-Playing Tasks and Computer Simulation of Skilled Performance Throw Light on Some Human Perceptual and Memory Processes.”American Scientist 61, no. 4 (1973): 394-403.
  • Simonton, Dean Keith. Scientific Genius.  NY: Cambridge University Press, 2009.
  • Solomon, Ines. “Analogical Transfer and ‘Functional Fixedness’ in the Science Classroom.” Journal of Educational Research 87, no. 6 (1994): 371-77.

Video: Overlearning, Choking, the Einstellung Effect, and Interleaving

  • Beilock, S. (2010). Choke. NY: Free Press.
  • Bilalic, M., McLeod, P., & Gobet, F. (2008). Inflexibility of experts–reality or myth? Quantifying the Einstellung effect in chess masters. Cognitive psychology, 56(2), 73-102. doi: 10.1016/j.cogpsych.2007.02.001
  • Bilalić, M., McLeod, P., & Gobet, F. (2008). Why good thoughts block better ones: The mechanism of the pernicious Einstellung (set) effect. Cognition, 108(3), 652-661. doi: 10.1016/j.cognition.2008.05.005
  • Carey, B. (2012). “Cognitive science meets pre-algebra.” New York Times, Sep 2.
  • Duarte, N. (2012). HBR Guide to Persuasive Presentations: Harvard Business Review Press.
  • Feynman, R. (1985). “Surely You’re Joking, Mr. Feynman”. NY: W. W. Norton.
  • Geary, D. C. (2011). Primal brain in the modern classroom. Scientific American Mind, 22(4), 44-49.
  • Kuhn, T. (1962). The Structure of Scientific Revolutions (2nd (1970) ed.). Chicago, IL: University of Chicago Press.
  • Luchins, A. S. (1942). Mechanization in problem solving: The effect of Einstellung. Psychol Monogr, 54(6), 1-95.
  • Pachman, M., Sweller, J., & Kalyuga, S. (2013). Levels of knowledge and deliberate practice. Journal of experimental psychology, 19(2), 108-119.
  • Roediger, H. L., & Pyc, M. A. (2012). Inexpensive techniques to improve education: Applying cognitive psychology to enhance educational practice. Journal of Applied Research in Memory and Cognition, 1(4), 242-248. doi: 10.1016/j.jarmac.2012.09.002
  • Rohrer, D., Dedrick, R., & Burgess, K. (2014). The benefit of interleaved mathematics practice is not limited to superficially similar kinds of problems. Psychonomic Bulletin & Review, 1-8. doi: 10.3758/s13423-014-0588-3
  • Rohrer, D., & Pashler, H. (2007). Increasing retention without increasing study time. Current directions in psychological science, 16(4), 183-186.
  • Rohrer, D., & Pashler, H. (2010). Recent research on human learning challenges conventional instructional strategies. Educational researcher, 39(5), 406-412.
  • Schoenfeld, A. H. (1992). Learning to think mathematically: Problem solving, metacognition, and sense-making in mathematics. In D. Grouws (Ed.), Handbook for Research on Mathematics Teaching and Learning. NY: MacMillan.
  • Taylor, K., & Rohrer, D. (2010). The effects of interleaved practice. Applied Cognitive Psychology, 24(6), 837-848.