Abstract
This chapter describes the characteristics of human memory, including the way humans input sensory data into their memory systems, organize the information in an effort to make sense of it, and store the information for further use. The attributes of each of the components will be described, and the implications these components have for learning in the age of technology will be discussed in detail. This chapter will also examine the cognitive processes involved in moving information from one component of the human memory system to another, including learner strategies for storing information most efficiently and the elements of human motivation that provide the impetus for using the strategies. Particular emphasis will be placed on human working memory, its limitations, what learners can do to accommodate those limitations, and how technological systems can be designed to capitalize on both the characteristics of working memory and the factors that increase human motivation. The role of metacognition in the process of gathering, organizing, and storing data in the human memory system will be briefly introduced to provide a transition to the chapter that follows.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Anderson, J. R. (2005). Cognitive psychology and its implications (6th ed.). New York: Worth.
Anderson, J. R. (2007). Information-processing modules and their relative modality specificity. Cognitive Psychology, 54(3), 185–217.
Anderson, D., & Nashon, S. (2007). Predators of knowledge construction: interpreting students’ metacognition in an amusement park physics program. Science Education, 91, 298–320.
Atkinson, R., & Shiffrin, R. (1968). Human memory: A proposed system and its control processes. In K. Spence & J. Spence (Eds.), The psychology of learning and motivation: Advances in research and theory (Vol. 2). San Diego, CA: Academic Press.
Baddeley, A. D. (1986). Working memory: Theory and practice. London: Oxford University Press.
Baddeley, A. (2001). Is working memory still working? American Psychologist, 56, 851–864.
Berliner, D. C. (1986). In pursuit of the expert pedagogue. Educational Researcher, 15, 5–13.
Berliner, D. C. (2006). Educational psychology: Searching for essence throughout a century of influence. In P. A. Alexander & P. H. Winne (Eds.), Handbook of educational psychology (2nd ed., pp. 3–42). Mahwah, NJ: Erlbaum.
Bloom, C. M., & Lamkin, D. M. (2006). The olympian struggle to remember the cranial nerves: Mnemonics and student success. Teaching of Psychology, 33, 128–129.
Bransford, J., Brown, A., & Cocking, R. (Eds.). (2000). How people learn: Brain, mind, experience, and school. Washington, DC: National Academy Press.
Brehmer, Y., & Li, S. -C. (2007). Memory plasticity across the life span: Uncovering children’s latent potential. Developmental Psychology, 43, 465–478.
Bulgren, J., Deshler, D., Schumaker, J., & Lenz, B. K. (2000). The use and effectiveness of analogical instruction in diverse secondary content classrooms. Journal of Educational Psychology, 92(3), 426–441.
Cassady, J. (1999, April). The effects of examples as elaboration in text on memory and learning. Paper presented at the annual meeting of the American Educational Research Association, Montreal, Canada.
Chaffen, R., & Imreh, G. (2002). Practicing perfection: Piano performance and expert memory. Psychological Science, 13, 342–349.
Chomsky, N. (1959). A review of Skinner’s verbal behavior. Language, 35, 25–58.
Clark, R. C., & Mayer, R. E. (2003). e-Learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning. San Francisco: Pfeiffer/Wiley.
Clark, J., & Paivio, A. (1991). Dual coding theory and education. Educational Psychology Review, 3, 149–210.
Craig, D. (2003). Brain-compatible learning: Principles and applications in athletic training. Journal of Athletic Training, 38(4), 342–350.
Craik, F. I. M. (1979). Human memory. Annual Review of Psychology, 30, 63–102.
Cuban, L. (1993). How teachers taught: Constancy and change in American classrooms: 1890–1990 (2nd ed.). New York: Teachers College Press.
Curtindale, L., Laurie-Rose, C., & Bennett-Murphy., L. (2007). Sensory modality, temperament, and the development of sustained attention: A vigilance study in children and adults. Developmental Psychology, 43(3), 576–589.
Demetriou, A., Christou, C., Spanoudis, G., & Platsidou, M. (2002). The development of mental processing: Efficiency, working memory, and thinking. Monographs of the society for research in child development (Serial No. 268, Vol. 67, No. 1). Boston, MA: Blackwell Publishing.
Dolezal, S., Welsh, L., Pressley, M., & Vincent, M. (2003). How nine third-grade teachers motivate student academic engagement. Elementary School Journal, 103, 239–268.
Feldon, D. F. (2007). The implications of research on expertise for curriculum and pedagogy. Educational Psychology Review, 19(2), 91–110.
Gagne, E. D., Yekovich, F. R., & Yekovich, C. W. (1997). The cognitive psychology of school learning (2nd ed.). Boston, MA: Allyn & Bacon.
Greeno, J., & van de Sande, C. (2007). Perspectival understanding of conceptions and conceptual growth in interaction. Educational Psychologist, 42(1), 9–24.
Greeno, J., Collins, A., & Resnick, L. (1996). Cognition and learning. In D. Berliner & R. Calfee (Eds.), Handbook of educational psychology (pp. 15–46). New York: Macmillan.
Hamilton, R. (1997). Effects of three types of elaboration on learning concepts from text. Contemporary Education Psychology, 22, 299–318.
Hergenhahn, B. R., & Olson, M. H. (2001). An introduction to theories of learning (6th ed.). Upper Saddle River, NJ: Merrill/Prentice Hall.
Howe, M. L. (2004). The role of conceptual recoding in reducing children’s retroactive interference. Developmental Psychology, 40, 131–139.
Huan, V. S., Yeo, L. S., & Ang, R. P. (2006). The influence of dispositional optimism and gender on adolescents’ perception of academic stress. Adolescence, 41, 533–546.
Igo, L. B., Kiewra, K., & Bruning, R. (2004). Removing the snare from the pair: Using pictures to learn confusing word pairs. Journal of Experimental Education, 72(3), 165–178.
Kafai, Y. (2006). Constructionism. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (pp. 35–46). New York: Cambridge University Press.
Karateken, C. (2004). A test of the integrity of the components of Baddeley’s model of working memory in attention-deficit/hyperactivity disorder (ADHD). The Journal of Child Psychology and Psychiatry and Allied Disciplines, 45(5), 912–926.
Kibby, M. Y., Marks, W., & Morgan, S. (2004). Specific impairment in developmental reading disabilities: A working memory approach. Journal of Learning Disabilities, 37(4), 349–363.
King-Friedrichs, J., & Browne, D. (2001). Learning to remember. The Science Teacher, 68, 44–46.
Kozhevnikov, M., Hegarty, M., & Mayer, R. (1999, April). Students’ use of imagery in solving qualitative problems in kinematics. Paper presented at the annual meeting of the American Educational Research Association, Montreal, Canada.
Kuhn, D., & Dean, D., Jr. (2004). Metacognition: A bridge between cognitive psychology and educational practice. Theory into Practice, 43(4), 268–273.
Lin, J. -R. (2007). Responses to anomalous data obtained from repeatable experiments in the laboratory. Journal of Research in Science Teaching, 44(3), 506–528.
Mayer, R. (2002). The promise of educational psychology: Volume II. Teaching for meaningful learning. Upper Saddle River, NJ: Merrilll/ Prentice Hall.
Mayer, R. (2008). Learning and instruction. Upper Saddle River, NJ: Pearson.
Mayer, R. E., & Wittrock, M. C. (2006). Problem solving. In P. A. Alexander & P. H. Winne (Eds.), Handbook of educational psychology (2, pp. 287–303). Mahwah, NJ: Erlbaum.
McCutchen, D. (2000). Knowledge, processing, and working memory: Implications for a theory of writing. Educational Psychologist, 35(1), 13–23.
Merkley, D., & Jefferies, D. (2001). Guidelines for implementing a graphic organizer. Reading Teacher, 54(4), 350–357.
Miller, G. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63, 81–97.
Moll, L. C., & Whitmore, K. (1993). Vygotsky in classroom practice: Moving from individual transmission to social transaction. In E. Forman, N. Minick, & C. Stone (Eds.), Contexts for learning (pp. 19–42). New York: Oxford University Press.
Moreno, R., & Duran, R. (2004). Do multiple representations need explanations: The role of verbal guidance and individual differences in multimedia mathematics learning. Journal of Educational Psychology, 96, 492–503.
Nasir, N., Rosebery, A., Warren, B., & Lee, C. (2006). Learning as a cultural process: Achieving equity through diversity. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (pp. 489–504). New York: Cambridge University Press.
Neisser, U. (1967). Cognitive psychology. New York: Appleton-Century-Crofts.
Nuthall, G. (1999a). Learning how to learn: The evolution of students’ minds through the social processes and culture of the classroom. International Journal of Educational Research, 31(3), 141–256.
Nuthall, G. (1999b). The way students learn: Acquiring knowledge from an integrated science and social studies unit. Elementary School Journal, 99(4), 303–342.
Nuthall, G. A. (2000). The role of memory in the acquisition and retention of knowledge in science and social studies units. Cognition and Instruction, 18(1), 83–139.
Paas, F., Renkl, A., & Sweller, J. (2004). Cognitive load theory: Instructional implications of the interaction between information structures and cognitive architecture. Instructional Science, 32(1), 1–8.
Paivio, A. (1986). Mental representations: A dual-coding approach. New York: Oxford University.
Paivio, A. (1991). Dual coding theory: Retrospect and current status. Canadian Journal of Psychology, 45, 255–287.
Pashler, H., & Carrier, M. (1996). Structures, processes, and the flow of information. In E. Bjork & R. Bjork (Eds.), Memory (pp. 3–29). San Diego, CA: Academic Press.
Piaget, J. (1952). Origins of intelligence in children. New York: International Universities Press.
Piaget, J. (1959). Language and thought of the child (M. Grabain, Trans.). New York: Humanities Press.
Piaget, J. (1970). The science of education and the psychology of the child. New York: Orion Press.
Piaget, J. (1980). Adaptation and intelligence: Organic selection and phenocopy (S. Eames, Trans.). Chicago, IL: University of Chicago Press.
Pressley, M., & Hilden, K. (2006). Cognitive strategies. In D. Kuhn, & R. Siegler (Eds.), Handbook of child psychology (6th ed., Vol. 2, pp. 511–556). Hoboken, NJ: John Wiley & Sons, Inc.
Roblyer, M. (2006). Integrating educational technology into teaching (4th ed.). Upper Saddle River, NJ: Merrill/Prentice Hall.
Rogoff, B. (1998). Cognition as a collaborative process. (In W. Damon (Series Ed.), D. Kuhn, & R. S. Siegler (Vol. Eds.)), Handbook of child psychology: Vol. 2 (5th ed., pp. 679–744). New York: Wiley.
Royer, J. (Ed.). (2005). The cognitive revolution in educational psychology. Greenwich, CT: Information Age Publishing.
Rutter, M., Maughan, B., Mortimore, P., Ousten, J., & Smith, A. (1979). Fifteen thousand hours. Secondary schools and their effects on children. Cambridge, MA: Harvard University Press.
Sadoski, M., & Paivio, A. (2001). Imagery and text: A dual coding theory of reading and writing. Mahwah, NJ: Erlbaum.
Sawyer, R. K. (2006). Introduction: The new science of learning. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (pp. 1–18). New York: Cambridge University Press.
Schacter, D. (2001). The seven deadly sins of memory. Boston: Houghton Mifflin.
Schank, R. C., & Abelson, R. (1977). Scripts, plans, goals, and understanding. Mahwah, NJ: Erlbaum.
Schneider, W., & Shiffrin, R. (1977). Controlled and automatic human information processing: Detection, search, and attention. Psychological Review 84, 1–66.
Schunk, D. (2004). Learning theories: An educational perspective (4th ed.). Upper Saddle River, NJ: Merrill/Pearson.
Schwartz, D., & Heiser, J. (2006). Spatial representations and imagery in learning. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (pp. 283–298). New York: Cambridge University Press.
Shuell, T. (1996). Teaching and learning in a classroom context. In D. Berliner & R. Calfee (Eds.), Handbook of educational psychology (pp. 726–764). New York: Macmillan.
Simon, H. (2001). Learning to research about learning. In S. M. Carver & D. Klake (Eds.), Cognition and instruction. Mahwah, NJ: Erlbaum.
Smith, K. S., Rook, J. E., & Smith, T. W. (2007). Increasing student engagement using effective and metacognitive writing strategies in content areas. Preventing School Failure, 51, 43–48.
Star, J. (2004, April). The development of flexible procedural knowledge in equation solving. Paper presented at the annual meeting of the American Educational Research Association, San Diego.
Star., J. R. (2005). Reconceptualizing procedural knowledge. Journal for Research in Mathematics Education, 36(5), 404–411.
Sweller, J. (2003). Evolution of human cognitive architecture. The Psychology of Learning and Motivation, 43, 215–266.
Sweller, J., van Merrienboer, J., & Paas, F. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10, 251–296.
Taraban, R., Anderson, E. E., & DeFinis, A. (2007). First steps in understanding engineering students’ growth of conceptual and procedural knowledge in an interactive learning context. Journal of Engineering Education, 96, 57–68.
Taylor, B., Pearson, P. D., Peterson, D., & Rodriguez, M. (2003). Reading growth in high-poverty classrooms: The influence of teacher practices that encourage cognitive engagement in literacy learning. Elementary School Journal, 104(1), 3–28.
Terry, S. (2006). Learning and memory: Basic principles, process, and procedures (3rd ed.). Boston, MA: Allyn & Bacon.
Tulving, E. (2002). Episodic memory: From mind to brain. Annual review of psychology, 53, 1–25.
Uygur, T., & Ozdas, A. (2007). The effect of arrow diagrams on achievement in applying the chain rule. Primus, 17, 131–147.
Valenzeno, L., Alibali, M., & Klatsky, R. (2003). Teachers’ gestures facilitate students’ learning: A lesson in symmetry. Contemporary Educational Psychology, 28, 187–204.
Vygotsky, L. (1978). Mind in society: The development of higher psychological processes (M. Cole, V. John-Steiner, S. Scribner, & E. Souberman, Eds. & Trans.). Cambridge, MA: Harvard University Press.
Vygotsky, L. (1986). Thought and language. Cambridge, MA: MIT Press.
Way, N., Reddy, R., & Rhodes, J. (2007). Students’ perceptions of school climate during the middle school years: Associations with trajectories of psychological and behavioral adjustment. American Journal of Community Psychology, 40, 194–213.
Williams, C., & Zacks, R. (2001). Is retrieval-induced forgetting an inhibitory process? American Journal of Psychology, 114, 329–354.
Willingham, D. T. (2004). Cognition: The thinking animal (2nd ed.). Upper Saddle River, NJ: Merrill/Prentice Hall.
Willingham, D. T. (2009). Why don’t students like school? San Francisco: Jossey-Bass.
Willingham, D. T. (2009). Why don’t students like school? A cognitive scientist answers questions about how the mind words and what it means for your classroom. San Francisco: Jossey-Bass.
Willoughby, T., Porter, L., Belsito, L., & Yearsley, T. (1999). Use of elaboration strategies by students in grades two, four, and six. Elementary School Journal, 99(3), 221–232.
Wolz, D. J. (2003). Implicit cognitive processes as aptitudes for learning. Educational Psychologist, 38, 95–104.
Zhou, Q., Hofer, C., & Eisenberg, N. (2007). The developmental trajectories of attention focusing, attentional and behavioral persistence, and externalizing problems during school-age years. Developmental Psychology, 43, 369–385.
Acknowledgments
We thank the major contributions that Don Kauchak, a respected colleague and friend, has made to the original work that provided the framework for this chapter. Without his contribution, preparing this chapter would have been extremely difficult. We want to use this opportunity to express our sincere gratitude.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Eggen, P., Schellenberg, S. (2010). Human Memory and the New Science of Learning. In: Khine, M., Saleh, I. (eds) New Science of Learning. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-5716-0_5
Download citation
DOI: https://doi.org/10.1007/978-1-4419-5716-0_5
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-5715-3
Online ISBN: 978-1-4419-5716-0
eBook Packages: Humanities, Social Sciences and LawEducation (R0)