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Learning Theories and Problem-Based Learning

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Book cover Problem-Based Learning in Clinical Education

Part of the book series: Innovation and Change in Professional Education ((ICPE,volume 8))

Abstract

In this chapter, we describe different theoretical perspectives – information processing, social constructivism, and sociocultural perspectives – that underlie and provide a useful lens for exploring learning in problem-based contexts. First, an examination of information processing focuses on the role and structure of prior knowledge, with a special emphasis on how expert knowledge activates certain productive problem-solving strategies that can be adapted for learning general problem-solving strategies. Second, an exploration of social constructivism focuses on the development of knowledge as people engage in institutional, interpersonal, and discursive processes in which learners construct their own knowledge through social interactions. Finally, we explore the relationship between sociocultural theory and problem-based learning to understand how cultural tools are used and transformed in specific contexts to facilitate co-construction of knowledge for future independent problem solving.

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References

  • Adams, L., Kasserman, J., Yearwood, A., Perfetto, G., Bransford, J., & Franks, J. (1988). The effect of fact versus problem oriented acquisition. Memory & Cognition, 16, 167–175.

    Article  Google Scholar 

  • Anderson, J. R. (1982). The acquisition of cognitive skill. Psychological Review, 89, 369–406.

    Article  Google Scholar 

  • Barron, B. J. S. (2003). When smart groups fail. Journal of the Learning Sciences, 12, 307–359.

    Article  Google Scholar 

  • Barrows, H. S. (2000). Problem-based learning applied to medical education. Springfield, IL: Southern Illinois University Press.

    Google Scholar 

  • Barrows, H. S., & Kelson, A. C. (1995). Problem-based learning in secondary education and the problem-based learning institute (Monograph No. 1). Springfield, IL: Problem-Based Learning Institute.

    Google Scholar 

  • Bereiter, C., & Scardamalia, M. (1989). Intentional learning as a goal of instruction. In L. B. Resnick (Ed.), Knowing, learning, and instruction: Essays in honor of Robert Glaser (pp. 361–392). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Blumenfeld, P. C., Kempler, T. M., & Krajcik, J. S. (2006). Motivation and cognitive engagement in learning environments. In R. K. Sawyer (Ed.), Cambridge handbook of the learning sciences (pp. 475–488). New York: Cambridge University Press.

    Google Scholar 

  • Blumenfeld, P. C., Marx, R. W., Soloway, E., & Krajcik, J. S. (1996). Learning with peers: From small group cooperation to collaborative communities. Educational Researcher, 25(8), 37–40.

    Google Scholar 

  • Bransford, J. D., Brown, A. L., & Cocking, R. (2000). How people learn. Washington, DC: National Academy Press.

    Google Scholar 

  • Brown, A. L. (1992). Design experiments: Theoretical and methodological challenges in creating complex interventions in classroom settings. Journal of the Learning Sciences, 2, 141–178.

    Article  Google Scholar 

  • Brown, A. L., Ash, D., Rutherford, M., Nakagawa, K., Gordon, A., & Campione, J. C. (1993). Distributed expertise in the classroom. In G. Salomon (Ed.), Distributed cognitions (pp. 188–228). New York: Cambridge University Press.

    Google Scholar 

  • Chi, M. T. H., Bassok, M., Lewis, M. W., Reimann, P., & Glaser, R. (1989). Self-explanations: How students study and use examples in learning to solve problems. Cognitive Science, 13, 145–182.

    Article  Google Scholar 

  • Chi, M. T. H., Feltovich, P., & Glaser, R. (1981). Categorization and representation of physics problems by experts and novices. Cognitive Science, 5, 121–152.

    Article  Google Scholar 

  • Cognition and Technology Group at Vanderbilt. (1997). The Jasper project: Lessons in curriculum, instruction, assessment, and professional development. Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Cohen, E. G. (1994). Restructuring the classroom: Conditions for productive small groups. Review of Educational Research, 64, 1–35.

    Google Scholar 

  • Collins, A. (2006). Cognitive apprenticeship. In R. K. Sawyer (Ed.), Cambridge handbook of the learning sciences (pp. 47–60). New York: Cambridge University Press.

    Google Scholar 

  • Collins, A., Brown, J. S., & Newman, S. E. (1989). Cognitive apprenticeship: Teaching the crafts of reading, writing, and mathematics. In L. B. Resnick (Ed.), Knowing, learning, and instruction: Essays in honor of Robert Glaser (pp. 453–494). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Davis, E. A., & Linn, M. C. (2000). Scaffolding students’ knowledge integration: Prompts for reflection in KIE. International Journal of Science Education, 22, 819–837.

    Article  Google Scholar 

  • Derry, S. J., Hmelo-Silver, C. E., Nagarajan, A., Chernobilsky, E., & Beitzel, B. (2006). Cognitive transfer revisited: Can we exploit new media to solve old problems on a large scale? Journal of Educational Computing Research, 35, 145–162.

    Article  Google Scholar 

  • Dillenbourg, P. (2002). Over-scripting CSCL: The risks of blending collaborative learning with instructional design. In P. A. Kirschner (Ed.), Three worlds of CSCL (pp. 61–91). Heerlen, Netherlands: Open Universitat Nederland.

    Google Scholar 

  • Duschl, R. A., Schweingruber, H. A., & Shouse, A. W. (2007). Taking science to school: Learning and teaching science in grade K-8. Washington, DC: National Academies Press.

    Google Scholar 

  • Engeström, Y. (1993). A developmental study of work as a test bench of activity theory: The case of primary care medical practice. In S. Chaiklin & J. Lave (Eds.), Understanding practice: Perspectives on activity and context (pp. 64–103). Cambridge: Cambridge University Press.

    Chapter  Google Scholar 

  • Ertmer, P. A., & Newby, T. J. (1996). The expert learner: Strategic, self-regulated, and reflective. Instructional Science, 26, 1–26.

    Article  Google Scholar 

  • Gallagher, S. A., Stepien, W. J., & Rosenthal, H. (1992). The effects of problem-based learning on problem-solving. Gifted Child Quarterly, 36, 195–200.

    Article  Google Scholar 

  • Golan, R., Kyza, E. A., Reiser, B. J., & Edelson, D. C. (2002, April). Scaffolding the task of analyzing animal behavior with the Animal Landlord software. Paper presented at the Annual Meeting of the American Educational Research Association, New Orleans, LA.

    Google Scholar 

  • Greeno, J. G. (2006). Learning in activity. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (pp. 79–96). New York: Cambridge.

    Google Scholar 

  • Greeno, J. G., Collins, A., & Resnick, L. (1996). Cognition and learning. In D. Berliner & R. Calfee (Eds.), Handbook of educational psychology (pp. 15–46). New York: MacMillan.

    Google Scholar 

  • Herrenkohl, L. R., & Guerra, M. R. (1998). Participant structures, scientific discourse, and student engagement in fourth grade. Cognition and Instruction, 16(4), 431–473.

    Article  Google Scholar 

  • Hmelo, C. E. (1998). Problem-based learning: Effects on the early acquisition of cognitive skill in medicine. Journal of the Learning Sciences, 7, 173–208.

    Article  Google Scholar 

  • Hmelo, C. E., Holton, D., & Kolodner, J. L. (2000). Designing to learn about complex systems. Journal of the Learning Sciences, 9, 247–298.

    Article  Google Scholar 

  • Hmelo, C. E., & Lin, X. (2000). Becoming self-directed learners: Strategy development in problem-based learning. In D. Evensen & C. E. Hmelo (Eds.), Problem-based learning: A research perspective on learning interactions (pp. 227–250). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Hmelo-Silver, C. E. (2000). Knowledge recycling: Crisscrossing the landscape of educational psychology in a problem-based learning course for preservice teachers. Journal on Excellence in College Teaching, 11, 41–56.

    Google Scholar 

  • Hmelo-Silver, C. E. (2004). Problem-based learning: What and how do students learn? Educational Psychology Review, 16, 235–266.

    Article  Google Scholar 

  • Hmelo-Silver, C. E. (2006). Design principles for scaffolding technology-based inquiry. In A. M. O’Donnell, C. E. Hmelo-Silver, & G. Erkens (Eds.), Collaborative reasoning, learning and technology (pp. 147–170). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Hmelo-Silver, C. E., & Barrows, H. S. (2006). Goals and strategies of a problem-based learning facilitator. Interdisciplinary Journal of Problem-based Learning, 1, 21–39.

    Google Scholar 

  • Hmelo-Silver, C. E., & Barrows, H. S. (2008). Facilitating collaborative knowledge building. Cognition and Instruction, 26, 48–94.

    Article  Google Scholar 

  • Hmelo-Silver, C. E., Chernobilsky, E., & DaCosta, M. C. (2004). Psychological tools in problem-based learning. In O. Tan (Ed.), Enhancing thinking through problem-based learning approaches: International perspectives (pp. 17–37). Singapore: Thomson Learning.

    Google Scholar 

  • Kapur, M., & Kinzer, C. K. (2007). Examining the effect of problem type in a synchronous computer-supported collaborative learning (CSCL) environment. Educational Technology Research and Development, 55, 439–459.

    Article  Google Scholar 

  • King, A. (1999). Discourse patterns for mediating peer learning. In A. M. O’Donnell & A. King (Eds.), Cognitive perspectives on peer learning (pp. 87–117). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Kolodner, J. L. (1993). Case-based reasoning. San Mateo, CA: Morgan Kaufmann.

    Google Scholar 

  • Kolodner, J. L., Hmelo, C. E., & Narayanan, N. H. (1996). Problem-based learning meets case-based reasoning. In D. C. Edelson & E. A. Domeshek (Eds.), Proceedings of ICLS 96 (pp. 188–195). Charlottesville, VA: AACE.

    Google Scholar 

  • Koschmann, T. D., Myers, A. C., Feltovich, P. J., & Barrows, H. S. (1994). Using technology to assist in realizing effective learning and instruction: A principled approach to the use of computers in collaborative learning. Journal of the Learning Sciences, 3, 225–262.

    Google Scholar 

  • Kozulin, A. (1998). Psychological tools. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Lajoie, S. P., Lavigne, N. C., Guerrera, C., & Munsie, S. D. (2001). Constructing knowledge in the context of Bio World. Instructional Science, 29, 155–186.

    Article  Google Scholar 

  • Lampert, M. (2001). Teaching problems and the problems of teaching. New Haven, CT: Yale University Press.

    Google Scholar 

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

    Google Scholar 

  • Lu, J., Lajoie, S. P., & Wiseman, J. (2010). Scaffolding problem-based learning with CSCL tools. International Journal of Computer Supported Collaborative Learning, 5, 283–298.

    Article  Google Scholar 

  • Novick, L. R. (1988). Analogical transfer, problem similarity, and expertise. Journal of Experimental Psychology: Learning, Memory, and Cognition, 14, 510–520.

    Article  Google Scholar 

  • Novick, L. R., & Holyoak, K. J. (1991). Mathematical problem solving by analogy. Journal of Experimental Psychology: Learning, Memory, & Cognition, 17, 398–415.

    Article  Google Scholar 

  • O’Donnell, A. M. (1999). Structuring dyadic interaction through scripted cooperation. In A. M. O’Donnell & A. King (Eds.), Cognitive perspectives on peer learning (pp. 179–196). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Palincsar, A. S. (1998). Social constructivist perspectives on teaching and learning. Annual Review of Psychology, 49, 345–375.

    Article  Google Scholar 

  • Palincsar, A. S., & Herrenkohl, L. R. (1999). Designing collaborative contexts: Lessons from three research programs. In A. M. O’Donnell & A. King (Eds.), Cognitive perspectives on peer learning (pp. 151–178). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Pea, R. D. (1993). Practices of distributed intelligence and designs for education. In G. Salomon & D. Perkins (Eds.), Distributed cognitions: Psychological and educational considerations (pp. 47–87). New York: Cambridge University Press.

    Google Scholar 

  • Perfetto, G. A., Bransford, J. D., & Franks, J. J. (1983). Constraints on access in a problem-solving context. Memory & Cognition, 11, 24–31.

    Article  Google Scholar 

  • Puntambekar, S., & Hubscher, R. (2005). Tools for scaffolding students in a complex learning environment: What have we gained and what have we missed? Educational Psychologist, 40(1), 1–12.

    Article  Google Scholar 

  • Puntambekar, S., & Kolodner, J. (1998). Distributed scaffolding: Helping students learn in a learning by design environment. Paper presented at the proceedings of the third International Conference of the Learning Sciences (ICLS '98), Atlanta, GA.

    Google Scholar 

  • Quintana, C., Reiser, B. J., Davis, E. A., Krajcik, J., Fretz, E., Duncan, R. G., et al. (2004). A scaffolding design framework for software to support science inquiry. Journal of the Learning Sciences, 13, 337–386.

    Article  Google Scholar 

  • Rogoff, B. (1990). Apprenticeship in thinking. New York: Oxford.

    Google Scholar 

  • Roth, W. M. (1998). Inscriptions: Toward a theory of representing as social practice. Review of Educational Research, 68, 35–60.

    Google Scholar 

  • Salomon, G. (1993). No distribution without individual cognition: A dynamic interactional view. In G. Salomon (Ed.), Distributed cognitions (pp. 111–138). New York: Cambridge.

    Google Scholar 

  • Salomon, G., & Perkins, D. N. (1989). Rocky roads to transfer: Rethinking mechanisms of a neglected phenomenon. Educational Psychologist, 24, 113–142.

    Article  Google Scholar 

  • Schmidt, H. G. (1993). Foundations of problem-based learning: Some explanatory notes. Medical Education, 27, 422–432.

    Article  Google Scholar 

  • Schmidt, H. G., DeGrave, W. S., DeVolder, M. L., Moust, J. H. C., & Patel, V. L. (1989). Explanatory models in the processing of science text: The role of prior knowledge activation through small group discussion. Journal of Educational Psychology, 81, 610–619.

    Article  Google Scholar 

  • Schoenfeld, A. H. (1985). Mathematical problem solving. Orlando, FL: Academic.

    Google Scholar 

  • Suthers, D., & Hundhausen, C. (2001). Learning by constructing collaborative representations: An empirical comparison of three alternatives. In P. Dillenbourg, A. Eurelings, & K. Hakkarainen (Eds.), Proceedings of the first European conference on computer-supported collaborative learning (pp. 577–584). Netherlands. Universiteit Maastricht.

    Google Scholar 

  • Torp, L., & Sage, S. (2002). Problems as possibilities. Alexandria, VA: ASCD.

    Google Scholar 

  • Van Berkel, H. J. M., & Schmidt, H. G. (2000). Motivation to commit oneself as a determinant of achievement in problem-based learning. Higher Education, 40, 231–242.

    Article  Google Scholar 

  • Vye, N. J., Goldman, S. R., Voss, J. F., Hmelo, C., & Williams, S. (1997). Complex math problem-solving by individuals and dyads: When and why are two heads better than one? Cognition and Instruction, 15, 435–484.

    Article  Google Scholar 

  • Vygotsky, L. S. (1978). Mind in society. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Walker, A. E., & Leary, H. (2009). A problem based learning meta analysis: Differences across problem types, implementation types, disciplines, and assessment levels. Interdisciplinary Journal of Problem-based Learning, 3, 12–43.

    Google Scholar 

  • Ward, J. P. T., Gordon, J., Field, M. J., & Lehmann, H. P. (2001). Communication and information technology in medical education. Lancet, 357, 792–796.

    Article  Google Scholar 

  • Wenger, E. (1998). Communities of practice: Learning as a social system. Systems Thinker.

    Google Scholar 

  • Yew, E. H. J., & Schmidt, H. G. (2009). Evidence for constructive, self-regulatory and collaborative processes in problem-based learning. Advances in Health Sciences Education, 14, 251–273.

    Article  Google Scholar 

  • Zimmerman, B. (2002). Becoming a self-regulated learner: An overview. Theory into Practice, 41, 64–71.

    Article  Google Scholar 

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Hmelo-Silver, C.E., Eberbach, C. (2012). Learning Theories and Problem-Based Learning. In: Bridges, S., McGrath, C., Whitehill, T. (eds) Problem-Based Learning in Clinical Education. Innovation and Change in Professional Education, vol 8. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2515-7_1

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