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2 - Cognitive and Neural Foundations of Learning

from Part I - Fundamental Issues in Learning and Transfer

Published online by Cambridge University Press:  30 October 2017

By
Kurt Kraiger  and
Victoria P. Mattingly
Edited by
Kenneth G. Brown
Kenneth G. Brown
Affiliation:
University of Iowa
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The Cambridge Handbook of Workplace Training and Employee Development , pp. 11 - 37
Publisher: Cambridge University Press
Print publication year: 2017

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References

Âkerstedt, T. 2006. Psychosocial stress and impaired sleep. Scandinavian Journal of Work, Environment & Health 32: 493–501.CrossRefGoogle ScholarPubMed
Alexander, P. A., Schallert, D. L., and Reynolds, R. E. 2009. What is learning anyway? A topographical perspective considered. Educational Psychologist 44: 176–192.CrossRefGoogle Scholar
Ariga, A., and Lleras, A. 2011. Brief and rare mental “breaks” keep you focused: Deactivation and reactivation of task goals preempt vigilance decrements. Cognition 118: 439–443.CrossRefGoogle ScholarPubMed
Azevedo, R., and Bernard, R. M. 1995. A meta-analysis of the effects of feedback in computer-based instruction. Journal of Educational Computing Research 13: 111–127.CrossRefGoogle Scholar
Baddeley, A. D., and Longman, D. J. A. 1978. The influence of length and frequency of training session on the rate of learning to type. Ergonomics 21: 627–635.CrossRefGoogle Scholar
Baldwin, T. T., and Ford, J. K. 1988. Transfer of training: A review and directions for future research. Personnel Psychology 41: 63–105.CrossRefGoogle Scholar
Balkin, T. J., Rupp, T., Picchioni, D., and Wesensten, N. J, 2008. Sleep loss and sleepiness: Current issues. Chest 134: 653-660.CrossRefGoogle ScholarPubMed
Banks, S., and Dinges, D. 2007. Behavioral and physiological consequences of sleep restriction. Journal of Clinical Sleep Medicine 3: 519–528.CrossRefGoogle Scholar
Bear, M. F., Cooper, L. M., and Ebner, F. F. 1989. Synaptic modification model of memory and learning. In Inkhauser, B., ed., Encyclopedia of Neuroscience, Supplement One, 156–160. Amsterdam: Elsevier.Google Scholar
Bell, B. S., and Kozlowski, S. W. J. 2008. Active learning: Effects of core training design elements on self-regulatory processes, learning, and adaptability. Journal of Applied Psychology 93: 296–316.CrossRefGoogle ScholarPubMed
Bjork, E. L., and Bjork, R. A. 2011. Making things hard on yourself, but in a good way: Creating desirable difficulties to enhance learning. In Gernsbacher, M. A., Pew, R. W., Hough, L. M., and Pomerantz, J. R., eds., Psychology and the Real World: Essays Illustrating Fundamental Contributions to Society, 56–64. New York: Worth.Google Scholar
Bjork, R. A. 1994. Memory and meta-memory considerations in the training of human beings. In Metcalfe, J. and Shimamura, A., eds., Metacognition: Knowing about Knowing, 185–205. Cambridge, MA: MIT Press.CrossRefGoogle Scholar
Bjork, R. A., Dunlosky, J., and Kornell, N. 2013. Self-regulated learning: Beliefs, techniques, and illusions. Annual Review of Psychology 64: 417–444.CrossRefGoogle ScholarPubMed
Born, J., Rasch, B., and Gais, S. 2006. Sleep to remember. The Neuroscientist 12: 410–424.CrossRefGoogle ScholarPubMed
Bradley, M. M. 2009. Natural selective attention: Orienting and emotion. Psychophysiology 46: 1–11.CrossRefGoogle ScholarPubMed
Bransford, J. D., and Johnson, M. K. 1972. Contextual prerequisites for understanding: Some investigations of comprehension and recall. Journal of Verbal Learning and Verbal Behavior 11: 717–726.CrossRefGoogle Scholar
Bruer, J. T. 2006. Points of view: On the implications of neuroscience research for science of teaching and learning: Are there any? CBE Life Sciences Education 5: 104–110.CrossRefGoogle Scholar
Bunge, S. A., and Kahn, I. 2009. Cognition: An overview of neuroimaging techniques. Encyclopedia of Neuroscience 2: 1063–1067.CrossRefGoogle Scholar
Butcher, K. R. 2006. Learning from text with diagrams: Promoting mental model development and inference generation. Journal of Educational Psychology 98: 182–197.CrossRefGoogle Scholar
Carrier, L. M., Cheever, N. A., Rosen, L. D., Benitez, S., and Chang, J. 2009. Multitasking across generations: Multitasking choices and difficulty ratings in three generations of Americans. Computers in Human Behavior 25: 483–489.CrossRefGoogle Scholar
Carter, M., and Beier, M. E. 2010. The effectiveness of error management training with working-aged adults. Personnel Psychology 63: 641–675.CrossRefGoogle Scholar
Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T., and Rohrer, D. 2006. Distributed practice in verbal recall tasks: A review and quantitative synthesis. Psychological Bulletin 132: 354–380.CrossRefGoogle ScholarPubMed
Chandler, P., and Sweller, J. 1991. Cognitive load theory and the format of instruction. Cognition and Instruction 8: 293–332.CrossRefGoogle Scholar
Clark, R. C. 2014. Evidence-Based Training Methods: A Guide for Training Professionals. Arlington, VA: American Society for Training and Development.Google Scholar
Clark, R. C., and Mayer, R. E. 2008. Learning by viewing versus learning by doing: Evidence-based guidelines for principled learning environments. Performance Improvement 47 (9): 5–13.CrossRefGoogle Scholar
Clark, R. E., and Voogel, A. 1985. Transfer of training principles for instructional design. Education Communication and Technology Journal 33: 113–123.CrossRefGoogle Scholar
Corbalan, G., Paas, F., and Cuypers, H. 2010. Computer-based feedback in linear algebra: Effects on transfer performance and motivation. Computers and Education 55: 692–703.CrossRefGoogle Scholar
Corbetta, M., and Shulman, G. L. 2002. Control of goal-directed and stimulus-driven attention in the brain. Nature Reviews: Neuroscience 3: 201–215.CrossRefGoogle ScholarPubMed
Craik, F. I., and Lockhart, R. S. 1972. Levels of processing: A framework for memory research. Journal of Verbal Learning and Verbal Behavior 11: 671–684.CrossRefGoogle Scholar
Curcio, G., Ferrara, M., and De Gennaro, L. 2006. Sleep loss, learning capacity and academic performance. Sleep Medicine Reviews 10: 323–337.CrossRefGoogle ScholarPubMed
De Bruyckere, P., Kirschner, P. A., and Hulshof, C. D. 2015. Urban Myths about Learning and Education. New York: Academic Press.Google Scholar
Dempster, F. N. 1988. The spacing effect: A case study in the failure to apply the results of psychological research. American Psychologist 43: 627–634.CrossRefGoogle Scholar
Devonshire, I. M., and Dommett, E. J. 2010. Neuroscience: Viable applications in education? Neuroscientist 16: 349–356.CrossRefGoogle ScholarPubMed
Diekelmann, S., and Born, J. 2010. The memory function of sleep. Nature Reviews Neuroscience 11: 114–126.CrossRefGoogle ScholarPubMed
Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., and Willingham, D. T. 2013. Improving students’ learning with effective learning techniques promising directions from cognitive and educational psychology. Psychological Science in the Public Interest 141: 4–58.CrossRefGoogle Scholar
Estes, W. K. 1955. Statistical theory of distributional phenomena in learning. Psychological Review 62: 369–377.CrossRefGoogle ScholarPubMed
Evans, D. R., Baer, R. A., and Segerstrom, S. C. 2009. The effects of mindfulness and self-consciousness on persistence. Personality and Individual Differences 47: 379–382.CrossRefGoogle Scholar
Fenn, K. M., Nusbaum, H. C., and Margoliash, D. 2003. Consolidation during sleep of perceptual learning of spoken language. Nature 42 (5): 614–616.CrossRefGoogle Scholar
Gagné, R. M. 1965. The Conditions of Learning. New York: Holt, Rinehart and Winston.Google Scholar
Gazzaley, A., Cooney, J. W., Rissman, J., and D’Esposito, M. 2005. Top-down suppression deficit underlies working memory impairment in normal aging. Nature Neuroscience 8: 1298–1300.CrossRefGoogle ScholarPubMed
Ginns, P., Martin, A. J., and Marsh, H. W. 2013. Designing instructional text in a conversational style: A meta-analysis. Educational Psychology Review 25: 445–472.CrossRefGoogle Scholar
Glenberg, A. M. 1979. Component-levels theory of the effects of spacing of repetitions on recall and recognition. Memory and Cognition 7: 95–112.CrossRefGoogle ScholarPubMed
Greenfield, P. M. 2009. Technology and informal education: What is taught, what is learned. Science 323 (5910): 69–71.CrossRefGoogle ScholarPubMed
Halls, J. 2014 . Memory and cognition in learning. Infoline; Tips, Tools, and Intelligence for Training 31 (May): Issue 1405.Google Scholar
Harrison, Y., and Horne, J. A. 2000. The impact of sleep deprivation on decision-making: A review. Journal of Experimental Psychology: Applied 6: 236–249.Google ScholarPubMed
Hesketh, B. 1997. Dilemmas in training for transfer and retention. Applied Psychology: An International Review 46: 317–339.Google Scholar
Howell, W. C., and Cooke, N. J. 1989. Training the human information processor: A look at cognitive models. In Goldstein, I., ed., Training and Development in Work Organizations, 121–182. New York: Jossey-Bass,Google Scholar
Hruby, G. G. 2012. Three requirements for justifying an educational neuroscience. British Journal of Educational Psychology 82: 1–23.CrossRefGoogle ScholarPubMed
Kahn, W. A. 1990. Psychological conditions of personal engagement and disengagement at work. Academy of Management Journal 33: 692–724.CrossRefGoogle Scholar
Kaplan, S., and Berman, M. G. 2010. Directed attention as a common resource for executive functioning and self-regulation. Perspectives on Psychological Science 5: 43–57.CrossRefGoogle ScholarPubMed
Keith, N., and Frese, M. 2008. Effectiveness of error management training: A meta-analysis. Journal of Applied Psychology 93: 59–69.CrossRefGoogle ScholarPubMed
Killgore, W.D.S. 2010. Effects of sleep deprivation on cognition. Progress in Brain Research 185: 105–129.CrossRefGoogle ScholarPubMed
Klein, T. A., Neumann, J., Reuter, M., Hennig, J., Von Cramon, D. Y., and Ullsperger, M. 2014. Genetically determined differences in learning from errors. Science 318: 1642–1645.CrossRefGoogle Scholar
Kluger, A. N., and DeNisi, A. 1996. The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory. Psychological Bulletin 119: 254–284.CrossRefGoogle Scholar
Kraiger, K., Ford, J. K., and Salas, E. 1993. Application of cognitive, skill-based, and affective theories of learning outcomes to new methods of training evaluation. Journal of Applied Psychology 78: 311–328.CrossRefGoogle Scholar
Mayer, R. E. 1979. Can advance organizers influence meaningful learning? Review of Educational Research 49: 371–383.CrossRefGoogle Scholar
Mayer, R. E. 2008. Applying the science of learning: Evidence-based principles for the design of multimedia instruction. American Psychologist 63: 760–769.CrossRefGoogle ScholarPubMed
Merriënboer, J. J., and Sweller, J. 2005. Cognitive load theory and complex learning: Recent developments and future directions. Educational Psychology Review 17: 147–177.CrossRefGoogle Scholar
Moreno, R. 2004. Decreasing cognitive load for novice students: Effects of explanatory versus corrective feedback in discovery-based multimedia. Instructional science 32 (1–2): 99–113.CrossRefGoogle Scholar
Morris, C. D., Bransford, J. D., and Franks, J. J. 1977. Levels of processing versus transfer appropriate processing. Journal of Verbal Learning and Verbal Behavior 16: 519–533.CrossRefGoogle Scholar
Payne, J. D. 2011. Learning, memory and sleep in humans. Sleep Medicine Clinics 6: 15–30.CrossRefGoogle Scholar
Poldrack, R. A. 2000. Imaging brain plasticity: conceptual and methodological issues – A theoretical review. Neuroimage 12: 1–13.CrossRefGoogle ScholarPubMed
Posner, M. I., and Rothbart, M. K. 2007. Research on attention networks as a model for the integration of psychological science. Annual Review of Psychology 58: 1–23.CrossRefGoogle Scholar
Renkl, A. 2005. The worked-out examples principle in multimedia learning. In Mayer, R. E., ed., Handbook of Multimedia Learning, 229–245. New York: Cambridge University Press.CrossRefGoogle Scholar
Rey, G. D. 2012. A review of research and a meta-analysis of the seductive detail effect. Educational Research Review 7: 216–237.CrossRefGoogle Scholar
Richtel, M. 2010. Growing up digital, wired for distraction. New York Times, Available from: http://www.nytimes.com/2010/11/21/technology/21brain.html?pagewanted=all&_r=0 (accessed April 23, 2017).Google Scholar
Roediger, H. L., and Karpicke, J. D. 2006. The power of testing memory: Basic research and implications for educational practice. Perspectives on Psychological Science 13: 181–210.CrossRefGoogle Scholar
Rohrer, D., and Taylor, K. 2007. The shuffling of mathematics problems improves learning. Instructional Science 35: 481–498CrossRefGoogle Scholar
Rohrer, D., Taylor, K., and Sholar, B. 2010. Tests enhance the transfer of learning. Journal of Experimental Psychology: Learning, Memory, and Cognition 36: 233–239.Google ScholarPubMed
Salas, E., and Cannon-Bowers, J. A. 2001. The science of training: A decade of progress. Annual review of psychology 52: 471–499.CrossRefGoogle ScholarPubMed
Salas, E., Tannenbaum, S. I., Kraiger, K., and Smith-Jentsch, K. A. 2012. The science of training and development in organizations: What matters in practice. Psychological Science in the Public Interest 132: 74–101.CrossRefGoogle Scholar
Sawaki, R., and Luck, S. J. 2010. Capture versus suppression of attention by salient singletons: Electrophysiological evidence for an automatic attend-to-me signal. Attention, Perception, and Psychophysics 72: 1455–1470.CrossRefGoogle ScholarPubMed
Schmidt, R. A., and Bjork, R. A. 1992. New conceptualizations of practice: Common principles in three paradigms suggest new concepts for training. Psychological Science 3: 207–217.CrossRefGoogle Scholar
Schunk, D. H., and Zimmerman, B. J., eds. 2012. Motivation and Self-regulated Learning: Theory, Research, and Applications. New York: Routledge.CrossRefGoogle Scholar
Simon, H. A. 1998. What do we know about learning? Journal of Engineering Education 87: 343–348.CrossRefGoogle Scholar
Sisti, H. M., Glass, A. L., and Shors, T. J. 2007. Neurogenesis and the spacing effect: Learning over time enhances memory and the survival of new neurons. Learning and Memory 14: 368–375.CrossRefGoogle ScholarPubMed
Sitzmann, T., and Johnson, S. 2014. The paradox of seduction by irrelevant details: How irrelevant information helps and hinders self-regulated learning. Learning and Individual Differences 34: 1–11.CrossRefGoogle Scholar
Sparrow, B., Liu, J., and Wegner, D. M. 2011. Google effects on memory: Cognitive consequences of having information at our fingertips. Science 333: 776–778.CrossRefGoogle ScholarPubMed
Stickgold, R. 2005. Sleep-dependent memory consolidation. Nature 437: 1272–1278.CrossRefGoogle ScholarPubMed
Sweller, J. 1999. Instructional Design in Technical Areas. Camberwell, Australia: ACER Press.Google Scholar
Taylor, K., and Rohrer, D. 2010. The effects of interleaved practice. Applied Cognitive Psychology 24: 837–848.CrossRefGoogle Scholar
Tokuhama-Espinosa, T. 2014. Making Classrooms Better: 50 Practical Applications of Mind, Brain, and Education Science. New York: Norton.Google Scholar
Vago, D. R., and David, S. A. 2012. Self-awareness, self-regulation, and self-transcendence S-ART: A framework for understanding the neurobiological mechanisms of mindfulness. Frontiers in Human Neuroscience 6: 296.CrossRefGoogle ScholarPubMed
Van Dongen, H. P. A., Maislin, G., Mullington, J. M., and Dinges, D. F. (2003). The cumulative cost of additional wakefulness: Dose–response effects on neurobehavioral functions and sleep physiology from chronic sleep restriction and total sleep deprivation. Sleep: Journal of Sleep and Sleep Disorders Research 26: 117–126.Google Scholar
Walker, M. P., Brakefield, T., Morgan, A., Hobson, J. A., and Stickgold, R. 2002. Practice with sleep makes perfect: Sleep-dependent motor skill learning. Neuron 35: 205–211.CrossRefGoogle ScholarPubMed
Willingham, D. T. 2009. Three problems in the marriage of neuroscience and education. Cortex 45: 544–545.CrossRefGoogle ScholarPubMed
Willingham, D. T. 2012. Neurosci and educ.–5 days, 5 ways. Day 4: Confirm a construct. December 6. http://www.danielwillingham.com/daniel-willingham-science-and-education-blog/neurosci-educ-5-days-5-ways-day-4-confirm-a-construct (accessed May 11, 2016).Google Scholar
Wilson, C. L., Huang, J. L., and Kraiger, K. 2013. Personality and the analysis, design, and delivery of training. In Christiansen, N. D. and Tett, R. P., eds., Handbook of Personality at Work, 543–564. New York: Routledge.CrossRefGoogle Scholar
Wulf, G., and Shea, C. H. 2002. Principles derived from the study of simple skills do not generalize to complex skill learning. Psychonomic Bulletin and Review 9: 185–211.CrossRefGoogle Scholar

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