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.
Anderson, J. R. (1982). The acquisition of cognitive skill. Psychological Review, 89, 369–406.
Barron, B. J. S. (2003). When smart groups fail. Journal of the Learning Sciences, 12, 307–359.
Barrows, H. S. (2000). Problem-based learning applied to medical education. Springfield, IL: Southern Illinois University Press.
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.
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.
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.
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.
Bransford, J. D., Brown, A. L., & Cocking, R. (2000). How people learn. Washington, DC: National Academy Press.
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.
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.
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.
Chi, M. T. H., Feltovich, P., & Glaser, R. (1981). Categorization and representation of physics problems by experts and novices. Cognitive Science, 5, 121–152.
Cognition and Technology Group at Vanderbilt. (1997). The Jasper project: Lessons in curriculum, instruction, assessment, and professional development. Mahwah, NJ: Erlbaum.
Cohen, E. G. (1994). Restructuring the classroom: Conditions for productive small groups. Review of Educational Research, 64, 1–35.
Collins, A. (2006). Cognitive apprenticeship. In R. K. Sawyer (Ed.), Cambridge handbook of the learning sciences (pp. 47–60). New York: Cambridge University Press.
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.
Davis, E. A., & Linn, M. C. (2000). Scaffolding students’ knowledge integration: Prompts for reflection in KIE. International Journal of Science Education, 22, 819–837.
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.
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.
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.
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.
Ertmer, P. A., & Newby, T. J. (1996). The expert learner: Strategic, self-regulated, and reflective. Instructional Science, 26, 1–26.
Gallagher, S. A., Stepien, W. J., & Rosenthal, H. (1992). The effects of problem-based learning on problem-solving. Gifted Child Quarterly, 36, 195–200.
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.
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.
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.
Herrenkohl, L. R., & Guerra, M. R. (1998). Participant structures, scientific discourse, and student engagement in fourth grade. Cognition and Instruction, 16(4), 431–473.
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.
Hmelo, C. E., Holton, D., & Kolodner, J. L. (2000). Designing to learn about complex systems. Journal of the Learning Sciences, 9, 247–298.
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.
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.
Hmelo-Silver, C. E. (2004). Problem-based learning: What and how do students learn? Educational Psychology Review, 16, 235–266.
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.
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.
Hmelo-Silver, C. E., & Barrows, H. S. (2008). Facilitating collaborative knowledge building. Cognition and Instruction, 26, 48–94.
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.
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.
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.
Kolodner, J. L. (1993). Case-based reasoning. San Mateo, CA: Morgan Kaufmann.
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.
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.
Kozulin, A. (1998). Psychological tools. Cambridge, MA: Harvard University Press.
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.
Lampert, M. (2001). Teaching problems and the problems of teaching. New Haven, CT: Yale University Press.
Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Boston: Cambridge.
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.
Novick, L. R. (1988). Analogical transfer, problem similarity, and expertise. Journal of Experimental Psychology: Learning, Memory, and Cognition, 14, 510–520.
Novick, L. R., & Holyoak, K. J. (1991). Mathematical problem solving by analogy. Journal of Experimental Psychology: Learning, Memory, & Cognition, 17, 398–415.
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.
Palincsar, A. S. (1998). Social constructivist perspectives on teaching and learning. Annual Review of Psychology, 49, 345–375.
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.
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.
Perfetto, G. A., Bransford, J. D., & Franks, J. J. (1983). Constraints on access in a problem-solving context. Memory & Cognition, 11, 24–31.
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.
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.
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.
Rogoff, B. (1990). Apprenticeship in thinking. New York: Oxford.
Roth, W. M. (1998). Inscriptions: Toward a theory of representing as social practice. Review of Educational Research, 68, 35–60.
Salomon, G. (1993). No distribution without individual cognition: A dynamic interactional view. In G. Salomon (Ed.), Distributed cognitions (pp. 111–138). New York: Cambridge.
Salomon, G., & Perkins, D. N. (1989). Rocky roads to transfer: Rethinking mechanisms of a neglected phenomenon. Educational Psychologist, 24, 113–142.
Schmidt, H. G. (1993). Foundations of problem-based learning: Some explanatory notes. Medical Education, 27, 422–432.
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.
Schoenfeld, A. H. (1985). Mathematical problem solving. Orlando, FL: Academic.
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.
Torp, L., & Sage, S. (2002). Problems as possibilities. Alexandria, VA: ASCD.
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.
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.
Vygotsky, L. S. (1978). Mind in society. Cambridge, MA: Harvard University Press.
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.
Ward, J. P. T., Gordon, J., Field, M. J., & Lehmann, H. P. (2001). Communication and information technology in medical education. Lancet, 357, 792–796.
Wenger, E. (1998). Communities of practice: Learning as a social system. Systems Thinker.
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.
Zimmerman, B. (2002). Becoming a self-regulated learner: An overview. Theory into Practice, 41, 64–71.
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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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