Abstract
“How can design for learning with technology facilitate knowledge transfer from educational to non-educational contexts?” To answer this question, we start with a review of five theoretical approaches to transfer: behaviorist, cognitive, situated, participationist, and developmental practices approach. We stress that they are not mutually exclusive, but that they emphasize different types of knowledge. We distinguish between declarative knowledge, procedural knowledge, and relational knowledge. Next, we identify four strategies for utilizing educational technologies to enhance transfer: coupling of educational and non-educational contexts, separate context of training, simulating a non-educational context, and introduction of educational context within non-educational setting. We illustrate each of them with paradigmatic learning designs and link them to the different strategies for technology use. Specifically, we discuss the learning designs of computer-based skills training (behaviorist approach), model-based learning (cognitive approach), epistemic games (situated cognition approach), mediational practices (participationist approach), and knowledge co-creation (developmental practices approach). We emphasize that all learning designs have greater chances of being effective if they are well integrated in wider learning contexts. This places limits on their scalability, both in terms of student numbers and in terms of situations of use.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Anderson, J. R. (1987). Skill acquisition: Compilation of weak-method problem situations. Psychological Review, 94(2), 192–210.
Bagley, E., & Shaffer, D. W. (2015). Learning in an urban and regional planning practicum: The view from educational ethnography. Journal of Interactive Learning Research, 26(4), 369–393.
Beach, K. (2003). Consequential transition: A developmental view of knowledge propagation through social organisations. In Y. Engeström & T. Tuomi-Gröhn (Eds.), Between school and work: New perspectives on transfer and boundary-crossing (pp. 39–61). Oxford, UK: Elsevier Science.
Blume, B. D., Ford, J. K., Baldwin, T. T., & Huang, J. L. (2010). Transfer of training: A meta-analytic review. Journal of Management, 36(4), 1065–1105.
Briggs, L. J., Gustafson, K. L., & Tillman, M. (1991). Instructional design: Principles and applications. Englewood Cliffs, NJ: Educational Technology Publications.
∗Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational Researcher, 18(1), 32–42.
Carraher, D., & Schliemann, A. (2002). The transfer dilemma. The Journal of the Learning Sciences, 11(1), 1–24.
Chesler, N. C., Ruis, A., Collier, W., Swiecki, Z., Arastoopour, G., & Shaffer, D. W. (2015). A novel paradigm for engineering education: Virtual internships with individualized mentoring and assessment of engineering thinking. Journal of Biomechanical Engineering, 137(2), 024701-1–024701-8.
∗Collins, A., & Ferguson, W. (1993). Epistemic forms and epistemic games: Structures and strategies to guide inquiry. Educational Psychologist, 28(1), 25–42.
Cook, D. A., Erwin, P. J., & Triola, M. M. (2010). Computerized virtual patients in health professions education: A systematic review and meta-analysis. Academic Medicine, 85(10), 1589–1602.
Cook, D. A., Hatala, R., Brydges, R., Zendejas, B., Scostek, J. H., Wang, A. T., et al. (2011). Technology-enhanced simulation for health professions education: A systematic review and meta-analysis. JAMA, 306(9), 978–988.
Dohn, N. B. (2014). Implications for networked learning of the ‘practice’ side of social practice theories - a tacit-knowledge perspective. In V. Hodgson, M. de Laat, D. McConnell, & T. Ryberg (Eds.), The design, experience and practice of networked learning (pp. 29–49). Dordrecht, Netherlands: Springer.
Dohn, N. B. (2016). Explaining the significance of participationist approaches for understanding students’ knowledge acquisition. Educational Psychologist, 51(2), 188–209.
Dohn, N. B. (2017). Epistemological concerns - querying the learning field from a philosophical point of view. (Professorial Thesis), University of Southern Denmark. Available at dohn.sdu.dk
Dohn, N. B., & Kjær, C. (2009). Language is not enough - knowledge perspectives on work-based learning in global organizations. Hermes, Journal of Language and Communication Studies, 43, 137–161.
Engeström, Y. (2001). Expansive learning at work: Toward an activity theoretical reconceptualization. Journal of Education and Work, 14(1), 133–156.
∗Engeström, Y. (2015). Learning by expanding: An activity-theoretical approach to developmental research (2nd ed.). New York: Cambridge University Press.
Engle, R. A. (2006). Framing interactions to foster generative learning: A situative explanation of transfer in a community of learners classroom. The Journal of the Learning Sciences, 15(4), 451–498.
∗Engle, R. A., Lam, D. P., Meyer, X. S., & Nix, S. E. (2012). How does expansive framing promote transfer? Several proposed explanations and a research agenda for investigating them. Educational Psychologist, 47(3), 215–231.
Engle, R. A., Nguyen, P. D., & Mendelson, A. (2011). The influence of framing on transfer: Initial evidence from a tutoring experiment. Instructional Science, 39(5), 603–628.
Gagné, R. M., Wager, W. W., Golas, K. C., & Keller, J. M. (2005). Principles of instructional design (5th ed.). Belmont, CA: Thomson/Wadsworth.
Gentner, D. (1983). Structure-mapping: A theoretical framework for analogy. Cognitive Science, 7(2), 155–170.
Gentner, D., Bowdle, B., Wolff, P., & Boronat, C. (2001). Metaphor is like analogy. In D. Gentner, K. J. Holyoak, & B. N. Kokinov (Eds.), The analogical mind: Perspectives from cognitive science (pp. 199–253). Cambridge, MA: MIT Press.
Gentner, D., Loewenstein, J., & Thompson, L. (2003). Learning and transfer: A general role for analogical encoding. Journal of Educational Psychology, 95(2), 393–408.
Gick, M. L., & Holyoak, K. J. (1983). Schema induction and analogical transfer. pdf. Cognitive Psychology, 1(15), 1–38.
Goldstone, R. L., & Wilensky, U. (2008). Promoting transfer by grounding complex systems principles. Journal of the Learning Sciences, 17(4), 465–516.
Greeno, J. G. (1997). Response: On claims that answer the wrong questions. Educational Researcher, 26(1), 5–17.
Greeno, J. G. (2011). A situative perspective on cognition and learning in interaction. In T. Koschmann (Ed.), Theories of learning and studies of instructional practice (Vol. 1, pp. 41–71). New York: Springer.
Gresalfi, M. S. (2009). Taking up opportunities to learn: Constructing dispositions in mathematics classrooms. Journal of the Learning Sciences, 18(3), 327–369.
Grierson, L. E. M. (2014). Information processing, specificity of practice, and the transfer of learning: Considerations for reconsidering fidelity. Advances in Health Sciences Education, 19(2), 281–289.
Hachmann, R., & Dohn, N. B. (2018). Participatory skills for learning in a networked world. In N. B. Dohn (Ed.), Designing for learning in a networked world. New York: Routledge.
Hamstra, S. J., Brydges, R., Hatala, R., Zendejas, B., & Cook, D. A. (2014). Reconsidering fidelity in simulation-based training. Academic Medicine, 89(3), 387–392.
Hansen, J. J., & Dohn, N. B. (2018). Design principles for designing simulated social practices. In N. B. Dohn (Ed.), Designing for learning in a networked world. New York: Routledge.
∗Ifenthaler, D., & Seel, N. M. (2013). Model-based reasoning. Computers & Education, 64, 131–142.
Illeris, K., Andersen, V., & Learning Lab, D. (2011). Learning in working life. Frederiksberg, Denmark: Roskilde University Press.
Issenberg, S. B., McGaghie, W. C., Petrusa, E. R., Lee, G. D., & Scalese, R. J. (2005). Features and uses of high-fidelity medical simulations that lead to effective learning: A BEME systematic review. Medical Teacher, 27(1), 10–28.
Jacobson, M. J., Markauskaite, L., Portolese, A., Kapur, M., Lai, P. K., & Roberts, G. (2017). Designs for learning about climate change as a complex system. Learning and Instruction,. online first, 52, 1.
Jonassen, D. H. (2011). Learning to solve problems: A handbook for designing problem-solving learning environments. New York: Routledge.
∗Judd, C. H. (1908). The relation of special training to general intelligence. Educational Review, 36, 28–42.
Kapur, M. (2016). Examining productive failure, productive success, unproductive failure, and unproductive success in learning. Educational Psychologist, 51(2), 289–299.
Kelly, N., Jacobson, M., Markauskaite, L., & Southavilay, V. (2012). Agent-based computer models for learning about climate change and process analysis techniques. In J. van Aalst, K. Thompson, M. J. Jacobson, & P. Reimann (Eds.), Proceedings of 10th international conference of the learning sciences (Vol. 1, pp. 25–32). Sydney, Australia: International Society of the Learning Sciences.
Kosonen, K., Muukkonen, H., Lakkala, M., & Paavola, S. (2012). A product development course as a pedagogical setting for multidisciplinary professional learning. In A. Moen, A. I. Mørch, & S. Paavola (Eds.), Collaborative knowledge creation: Practices, tools, concepts (pp. 185–202). Rotterdam, Netherlands: Sense.
∗Lave, J. (1988). Cognition in practice: Mind, mathematics and culture in everyday life. Cambridge, UK: Cambridge University Press.
∗Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. New York: Cambridge University Press.
Lobato, J., Ellis, A. B., & Munoz, R. (2003). How “focusing phenomena” in the instructional environment support individual students’ generalizations. Mathematical Thinking and Learning, 5(1), 1–36.
Lobato, J., Rhodehamel, B., & Hohensee, C. (2012). “Noticing” as an alternative transfer of learning process. Journal of the Learning Sciences, 21(3), 433–482.
Markauskaite, L., & Goodyear, P. (2017). Epistemic fluency and professional education: Innovation, knowledgeable action and actionable knowledge. Dordrecht, Netherlands: Springer.
Markauskaite, L., Sutherland, L. M., & Howard, S. K. (2008). Knowledge labels and their correlates in an asynchronous text-based computer-supported collaborative learning environment: Who uses and who benefits? Research and Practice in Technology Enhanced Learning, 3(01), 65–93.
McGaghie, W. C., Issenberg, S. B., Barsuk, J. H., & Wayne, D. B. (2014). A critical review of simulation-based mastery learning with translational outcomes. Medical Education, 48(4), 375–385.
Moen, A., Mørch, A. I., & Paavola, S. (Eds.). (2012). Collaborative knowledge creation: Practices, tools, concepts. Rotterdam, Netherlands: Sense.
Morrison, D., & Collins, A. (1996). Epistemic fluency and constructivist learning environments. In B. Wilson (Ed.), Constructivist learning environments (pp. 107–119). Englewood Cliffs, NJ: Educational Technology Publications.
Nokes, T. J. (2009). Mechanisms of knowledge transfer. Thinking & Reasoning, 15(1), 1–36.
Norman, G., Dore, K., & Grierson, L. (2012). The minimal relationship between simulation fidelity and transfer of learning. Medical Education, 46, 636.
OECD. (2010). Learning for jobs. Synthesis report of the OECD Reviews of vocational education and training learning for jobs. Paris: OECD Publishing.
Ohlsson, S., & Rees, E. (1991). The function of conceptual understanding in the learning of arithmetic procedures. Cognition and Instruction, 8(2), 103–179.
Paavola, S., Lakkala, M., Muukkonen, H., Kosonen, K., & Karlgren, K. (2011). The roles and uses of design principles for developing the trialogical approach on learning. Research in Learning Technology, 19(3), 233–246.
Packer, M. (2001). The problem of transfer, and the sociocultural critique of schooling. The Journal of the Learning Sciences, 10(4), 493–514.
Perkins, D. N. (1997). Epistemic games. International Journal of Educational Research, 27(1), 49–61.
Petty, M. D., & Barbosa, S. E. (2016). Improving air combat maneuvering skills through self-study and simulation-based practice. Simulation & Gaming, 47(1), 103–129.
Pirnay-Dummer, P., Ifenthaler, D., & Seel, N. M. (2012). Designing model-based learning environments to support mental models for learning. In D. H. Jonassen & S. Land (Eds.), Theoretical foundations of learning environments (2nd ed., pp. 66–94). New York: Routledge.
Princeton Career Services. (n.d.). Website: https://careerservices.princeton.edu/undergraduate-students/resumes-letters-online-profiles/resumes/transferable-skills. Accessed 21 Nov 2017.
Reed, S. K. (1993). A schema-based theory of transfer. In D. K. Detterman & R. J. Sternberg (Eds.), Transfer on trial: Intelligence, cognition and instruction (pp. 39–67). Norwood, NJ: Ablex.
Rehmann, A., Mitman, R. D., & Reynolds, M. C. (1995). A handbook of flight simulation fidelity requirements for human factors research. Atlantic City Airport, NJ: U.S. Department of Transportation Federal Aviation Administration.
∗Scardamalia, M., & Bereiter, C. (2014). Knowledge building and knowledge creation: Theory, pedagogy, and technology. In R. K. Sawyer (Ed.), Cambridge handbook of the learning sciences (pp. 397–417). New York: Cambridge University Press.
Seymour, N. E., Gallagher, A. G., Roman, S. A., O’Brien, M. K., Bansal, V. K., Andersen, D. K., et al. (2002). Virtual reality training improves operating room performance: Results of a randomized, double-blinded study. Annals of Surgery, 236(4), 458–464.
Sfard, A. (1998). On two metaphors for learning and the dangers of choosing just one. Educational Researcher, 27(2), 4–13.
Sfard, A. (2008). Thinking as communicating: Human development, the growth of discourses, and mathematizing. New York: Cambridge University Press.
Shaffer, D. W. (2006). Epistemic frames for epistemic games. Computers & Education, 46(3), 223–234.
Singley, M. K., & Anderson, J. R. (1989). The transfer of cognitive skill. Cambridge, MA: Harvard University press.
Smith, S. M. (2012). How do small business owner-managers learn leadership through networked learning? In L. Dirckinck-Holmfeld, V. Hodgson, & D. McConnell (Eds.), Exploring the theory, pedagogy and practice of networked learning (pp. 221–236). New York: Springer.
Strandbygaard, J., Bjerrum, F., Maagaard, M., Winkel, P., Larsen, C. R., Ringsted, C., et al. (2013). Instructor feedback versus no instructor feedback on performance in a laparoscopic virtual reality simulator: A randomized trial. Annals of Surgery, 257(5), 839–844.
Sutherland, L., & Markauskaite, L. (2012). Examining the role of authenticity in supporting the development of professional identity: An example from teacher education. Higher Education, 64, 747–766.
Svensson, L., Ellström, P.-E., & Åberg, C. (2004). Integrating formal and informal learning at work. Journal of Workplace Learning, 16(8), 479–491.
Thorndike, E. L. (1913). The psychology of learning (Vol. 2). Teachers College, Columbia University.
∗Thorndike, E. L., & Woodworth, R. S. (1901). The influence of improvement in one mental function upon the efficiency of other functions. Psychological Review, 8(3), 247–261.
Thorndyke, P. W., & Hayes-Roth, B. (1979). The use of schemata in the acquisition and transfer of knowledge. Cognitive Psychology, 11(1), 82–106.
Tuomi-Gröhn, T. (2007). Developmental transfer as a goal of collaboration between school and work: A case study in the training of daycare interns. Actio: An international Journal of Human Activity Theory, 1, 41–62.
Tuomi-Gröhn, T., & Engeström, Y. (2003). Conceptualizing transfer: From standard notions to developmental perspectives. In T. Tuomi-Gröhn & Y. Engeström (Eds.), Between school and work: New perspectives on transfer and boundary-crossing (pp. 19–38). Oxford, UK: Elsevier Science.
University of Cambridge. (n.d.). School of the Humanities and Social Sciences. Website: https://www.cshss.cam.ac.uk/transferable-skills. Accessed 21 Nov 2017.
Ventre, K. M., & Schwid, H. A. (2013). Computer and web based simulators. In A. I. Levine, S. DeMaria, A. D. Schwartz, & A. J. Sim (Eds.), The comprehensive textbook of healthcare simulation (pp. 191–208). New York: Springer.
Wenger, E. (1998). Communities of practice: Learning, meaning and identity (Reprinted). Cambridge, UK: Cambridge University Press.
Acknowledgments
Research for this chapter has been partly funded by Independent Research Fund Denmark, Grant No. DFF-4180-00062.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Dohn, N.B., Markauskaite, L., Hachmann, R. (2020). Enhancing Knowledge Transfer. In: Bishop, M.J., Boling, E., Elen, J., Svihla, V. (eds) Handbook of Research in Educational Communications and Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-36119-8_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-36119-8_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-36118-1
Online ISBN: 978-3-030-36119-8
eBook Packages: EducationEducation (R0)