Skip to main content

Theories Underpinning Learning with Digital Technologies

  • Chapter

Abstract

Instructors who have an understanding of how students learn are better able to make informed choices with respect to the types of technologies to use and the manner in which they are used to achieve the intended learning outcomes for their students. This chapter discussed learning theories that are relevant for the understanding of students, learning experiences in technology-enhanced environments.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Anderson, T. (2004). Towards a theory of online learning. In T. Anderson & F. Elloumi (Eds.), Theory and practice of online learning (pp. 33–60). Edmonton, Alberta, Canada: Athabasca University Press.

    Google Scholar 

  • Ayres, P. (2006). Impact of reducing intrinsic cognitive load on learning in a mathematical domain. Applied Cognitive Psychology, 20(3), 287–298.

    Article  Google Scholar 

  • Ayres, P., & Paas, F. (2007). Can the cognitive load approach make instructional animations more effective? Applied Cognitive Psychology, 21(6), 811–820.

    Article  Google Scholar 

  • Bell, F. (2011). Connectivism: Its place in theory-informed research and innovation in technology-enabled learning. The International Review of Research in Open and Distance Learning, 12(3), 98–118.

    Google Scholar 

  • Boitshwarelo, B. (2011). Proposing an integrated research framework for connectivism: Utilising theoretical synergies. International Review of Research in Open and Distance Learning, 12(3), 161–179.

    Google Scholar 

  • Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational Researcher, 18(1), 32–42.

    Article  Google Scholar 

  • Bruner, J. (1960). The process of education. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Bruner, J. (1961). The act of discovery. Harvard Educational Review, 31(1), 21–32.

    Google Scholar 

  • Bruner, J. (1966). Toward a theory of instruction. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Caine, R., Caine, G., McClintic, C., & Klimek, K. (2005). 12 brain mind learning principles in action, The fieldbook to making connections, teaching and the human brain. Thousand Oaks, CA: Corwin Press.

    Google Scholar 

  • Calvani, A. (2009). Connectivism: New paradigm or fascinating pot-pourri? Journal of e-Learning and Knowledge Society, 4(1), 247–252.

    Google Scholar 

  • Connell, J. D. (2009). The global aspects of brain-based learning. Educational Horizons, 88(1), 28–39.

    Google Scholar 

  • Darling Hammond, L., Austin, K., Orcutt, S., & Rosso, J. (2001). How people learn: Introduction to learning theories. Retrieved April 11, 2014, from http://www.stanford.edu/class/ed269/hplintrochapter.pdf

  • Dorin, H., Demmin, P. E., & Gabel, D. (1990). Chemistry: The study of matter (3rd ed.). Englewood Cliffs, NJ: Prentice Hall.

    Google Scholar 

  • Downes, S. (2005). An introduction to connective knowledge. Retrieved April 13, 2014, from http://www.immagic.com/eLibrary/ARCHIVES/GENERAL/BLOGS/S051222D.pdf

  • Driscoll, M. (2000). Psychology of learning for instruction. Needham, MA: Allyn & Bacon.

    Google Scholar 

  • Dunaway, M. K. (2011). Connectivism: Learning theory and pedagogical practice for networked information landscapes. Reference Services Review, 39(4), 675–685.

    Article  Google Scholar 

  • Ellis, R., & Goodyear, P. (2010). Students’ experiences of e-learning in higher education: The ecology of sustainable innovation. London: Taylor and Francis.

    Google Scholar 

  • Engeström, Y., Miettinen, R., & Punamäki, R. L. (Eds.). (1999). Perspectives on activity theory. Cambridge, England: Cambridge University Press.

    Google Scholar 

  • Ericsson, K. A., & Kintsch, W. (1995). Long-term working memory. Psychological Review, 102(2), 211–245.

    Article  Google Scholar 

  • Good, T. L., & Brophy, J. E. (1990). Educational psychology: A realistic approach (4th ed.). White Plains, NY: Longman.

    Google Scholar 

  • Goswami, U. (2006). Neuroscience and education: From research to practice? Nature Reviews Neuroscience, 7(5), 406–413.

    Article  Google Scholar 

  • Gülpinar, M. A. (2005). The principles of brain-based learning and constructivist models in education. Educational Sciences: Theory & Practice, 5(2), 299–306.

    Google Scholar 

  • Harel, I. E., & Papert, S. E. (1991). Constructionism. New York: Ablex.

    Google Scholar 

  • Hills, W. F. (2002). Learning: A survey of psychological interpretations (7th ed.). Needham, MA: Allyn & Bacon.

    Google Scholar 

  • Kafai, Y. B. (1995). Minds in play: Computer game design as a context for children’s learning. New York: Routledge.

    Google Scholar 

  • Kalyuga, S., Renkl, A., & Pass, F. (2010). Facilitating flexible problem solving: A cognitive load perspective. Educational Psychology Review, 22(2), 175–186.

    Article  Google Scholar 

  • Kerr, B. (2007). A challenge to connectivism. Retrieved April 13, 2014, from http://learningevolves.wikispaces.com/kerr

  • Kop, R., & Hill, A. (2008). Connectivism: Learning theory of the future or vestige of the past? International Review of Research in Open and Distributed Learning, 9(3). Retrieved April 25, 2014, from http://www.irrodl.org/index.php/irrodl/article/viewArticle/523/1103%22

  • Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge, England: Cambridge University Press.

    Book  Google Scholar 

  • Lipman, M. (1991). Thinking in education. Cambridge, England: Cambridge University Press.

    Google Scholar 

  • Mayer, R. E. (1997). Multimedia learning: Are we asking the right questions? Educational Psychologist, 32(1), 1–19.

    Article  Google Scholar 

  • Mayer, R. E. (2005). Principles for reducing extraneous processing in multimedia learning: Coherence, signaling, redundancy, spatial contiguity, and temporal contiguity principles. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 183–200). New York: Cambridge University Press.

    Chapter  Google Scholar 

  • Mayes, T., & de Freitas, S. (2013). Technology—Enhanced learning: The role of theory. In H. Beetham & R. Sharpe (Eds.), Rethinking pedagogy for a digital age: Designing for 21st century learning (pp. 17–30). New York: Routledge.

    Google Scholar 

  • McConnell, D. (2000). Implementing computer supported cooperative learning (2nd ed.). London: Kogan Page.

    Google Scholar 

  • Merriam, S. B., Caffarella, R. S., & Baumgartner, L. M. (2007). Learning in adulthood: A comprehensive guide. San Francisco: Wiley.

    Google Scholar 

  • Miller, G. A. (1956). The magical number seven plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81–97.

    Article  Google Scholar 

  • Moreno, R., & Mayer, R. E. (2000). A learner-centered approach to multimedia explanations: Deriving instructional design principles from cognitive theory. Interactive Multimedia Electronic Journal of Computer Enhanced Learning. Retrieved April 29, 2014, from http://imej.wfu.edu/articles/2000/2/05/index.asp

  • Nielsen, J. A., Zielinski, B. A., Ferguson, M. A., Lainhart, J. E., & Anderson, J. S. (2013). An evaluation of the left-brain vs. right-brain hypothesis with resting state functional connectivity magnetic resonance imaging. PLoS One, 8(8), e71275.

    Article  Google Scholar 

  • Paivio, A. (1986). Mental representations: A dual coding approach. Oxford, England: Oxford University Press.

    Google Scholar 

  • Papert, S. (1980). Mindstorms. New York: Basic Books.

    Google Scholar 

  • Papert, S. (1993). The children’s machine: Rethinking school in the age of the computer. New York: Basic Books.

    Google Scholar 

  • Piaget, J. (1955). The construction of reality in the child. London: Routledge Keegan Paul.

    Google Scholar 

  • Piaget, J. (1972). Psychology and epistemology: Towards a theory of knowledge. London: Penguin University Books.

    Google Scholar 

  • Resta, P., & Laferrière, T. (2007). Technology in support of collaborative learning. Educational Psychology Review, 19(1), 65–83.

    Article  Google Scholar 

  • Rushton, S. P., Eitelgeorge, J., & Zickafoose, R. (2003). Connecting Brian Cambourne’s conditions of learning theory to brain/mind principles: Implications for early childhood educators. Early Childhood Education Journal, 31(1), 11–21.

    Article  Google Scholar 

  • Saleh, S. (2012). The effectiveness of brain-based teaching approach in dealing with the problems of students’ conceptual understanding and learning motivation to wards physics. Educational Studies, 38(1), 19–29.

    Article  Google Scholar 

  • Siemens, G. (2004). Connectivism. A learning theory for the digital age. Retrieved April 14, 2014, from http://www.elearnspace.org/Articles/connectivism.htm

  • Skinner, B. F. (1954). The science of learning and the art of teaching. Harvard Educational Review, 24(2), 86–97.

    Google Scholar 

  • Skinner, B. F. (1984). The operational analysis of psychological terms. Behavioral and Brain Sciences, 7(4), 547–553.

    Article  Google Scholar 

  • Smith, A. (1996). Accelerated learning in the classroom. Bodmin, England: Network Educational Press.

    Google Scholar 

  • Stahl, G., Koschmann, T., & Suthers, D. (2006). Computer-supported collaborative learning: A historical perspective. In R. K. Sawyer (Ed.), Cambridge handbook of the learning sciences (pp. 409–426). Cambridge, England: Cambridge University Press.

    Google Scholar 

  • Strong, K., & Hutchins, H. M. (2009). Connectivism: A theory for learning in a world of growing complexity. Impact: Journal of Applied Research in Workplace E-learning, 1(1), 53–67.

    Google Scholar 

  • Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285.

    Article  Google Scholar 

  • Sweller, J. (2005). Implications of cognitive load theory for multimedia learning. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 19–30). New York: Cambridge University Press.

    Chapter  Google Scholar 

  • Sweller, J. (2008). Human cognitive architecture. In J. Spector, M. Merril, J. Van Merrienboer, & M. Driscoll (Eds.), Handbook of research on educational communications and technology (pp. 369–381). New York: Erlbaum.

    Google Scholar 

  • Sweller, J. (2009). Cognitive bases of human creativity. Educational Psychology Review, 21(1), 11–19.

    Article  Google Scholar 

  • Sweller, J., van Merrienboer, J. J. G., & Paas, F. G. W. C. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10(3), 251–295.

    Article  Google Scholar 

  • Vygotsky, L. S. (1962). Thought and language. Cambridge, MA: MIT Press.

    Book  Google Scholar 

  • Vygotsky, L. (1978). Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Wenger, E. (1998). Communities of practice: Learning, meaning, and identity. New York: Cambridge University Press.

    Book  Google Scholar 

  • Wenger, E. (2000). Communities of practice and social learning systems. Organization, 7(2), 225–246.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Ng, W. (2015). Theories Underpinning Learning with Digital Technologies. In: New Digital Technology in Education. Springer, Cham. https://doi.org/10.1007/978-3-319-05822-1_4

Download citation

Publish with us

Policies and ethics