Learning Theories and Problem-Based Learning

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.

[1]  Cindy E. Hmelo-Silver,et al.  Problem-based Learning: A Research Perspective on Learning Interactions , 2000 .

[2]  J. Bransford,et al.  Constraints on access in a problem solving context , 1983, Memory & cognition.

[3]  S. Puntambekar,et al.  Tools for Scaffolding Students in a Complex Learning Environment: What Have We Gained and What Have We Missed? , 2005 .

[4]  G. E. Berrios,et al.  . New York: Cambridge , 2000 .

[5]  Alan H. Schoenfeld,et al.  Mathematical Problem Solving , 1985 .

[6]  E. Cohen Restructuring the Classroom: Conditions for Productive Small Groups , 1994 .

[7]  J. Bransford,et al.  Memory access: The effects of fact-oriented versus problem-oriented acquisition , 1988, Memory & cognition.

[8]  Henk G. Schmidt,et al.  Motivation to commit oneself as a determinant of achievement in problem-based learning , 2000 .

[9]  Janet L. Kolodner,et al.  Case-Based Reasoning , 1989, IJCAI 1989.

[10]  H. Schmidt Foundations of problem‐based learning: some explanatory notes , 1993, Medical education.

[11]  Annemarie S. Palincsar,et al.  Social constructivist perspectives on teaching and learning. , 1998, Annual review of psychology.

[12]  Susan R. Goldman,et al.  Complex Mathematical Problem Solving by Individuals and Dyads , 1997 .

[13]  Janet L. Kolodner,et al.  Problem-based Learning Meets Case-based Reasoning , 1996, ICLS.

[14]  Daniel D. Suthers,et al.  Learning by Constructing Collaborative Representations: An Empirical Comparison of Three Alternatives. , 2001 .

[15]  L. R. Novick Analogical transfer, problem similarity, and expertise. , 1988, Journal of experimental psychology. Learning, memory, and cognition.

[16]  Matthew W. Lewis,et al.  Self-Explonations: How Students Study and Use Examples in Learning to Solve Problems , 1989, Cogn. Sci..

[17]  Vimla L. Patel,et al.  Explanatory Models in the Processing of Science Text: The Role of Prior Knowledge Activation Through Small-Group Discussion , 1989 .

[18]  C. Hmelo‐Silver,et al.  Facilitating Collaborative Knowledge Building , 2008 .

[19]  J. Bransford How people learn , 2000 .

[20]  Cindy E. Hmelo-Silver,et al.  Cognitive Transfer Revisited: Can We Exploit New Media to Solve Old Problems on a Large Scale? , 2006 .

[21]  Etienne Wenger,et al.  Situated Learning: Legitimate Peripheral Participation , 1991 .

[22]  M. Scardamalia,et al.  Intentional Learning as a Goal of Instruction , 2018, Knowing, Learning, and Instruction.

[23]  H. Schweingruber,et al.  TAKING SCIENCE TO SCHOOL: LEARNING AND TEACHING SCIENCE IN GRADES K-8 , 2007 .

[24]  J. Lave,et al.  Understanding Practice: Perspectives on Activity and Context , 1996 .

[25]  B. Zimmerman Becoming a Self-Regulated Learner: An Overview , 2002 .

[26]  Susanne P. Lajoie,et al.  Scaffolding problem-based learning with CSCL tools , 2010, Int. J. Comput. Support. Collab. Learn..

[27]  Leslie R. Herrenkohl,et al.  Participant Structures, Scientific Discourse, and Student Engagement in Fourth Grade , 1998 .

[28]  Johan F. Hoorn,et al.  Distributed cognition , 2005, Cognition, Technology & Work.

[29]  James G. Greeno,et al.  Learning in Activity , 2014 .

[30]  Cindy E. Hmelo,et al.  Problem-Based Learning: Effects on the Early Acquisition of Cognitive Skill in Medicine , 1998 .

[31]  Cindy E. Hmelo-Silver,et al.  Goals and Strategies of a Problem-based Learning Facilitator , 2006 .

[32]  R. Pea Practices of distributed intelligence and designs for education , 1993 .

[33]  Elaine H. J. Yew,et al.  Evidence for constructive, self-regulatory, and collaborative processes in problem-based learning , 2009, Advances in health sciences education : theory and practice.

[34]  Abbie Brown,et al.  Design experiments: Theoretical and methodological challenges in creating complex interventions in c , 1992 .

[35]  Manu Kapur,et al.  Examining the effect of problem type in a synchronous computer-supported collaborative learning (CSCL) environment , 2007 .

[36]  Pierre Dillenbourg,et al.  Over-scripting CSCL: The risks of blending collaborative learning with instructional design , 2002 .

[37]  H. Barrows Problem-Based Learning Applied to Medical Education , 2000 .

[38]  John D. Bransford,et al.  The Jasper Project: Lessons in Curriculum, Instruction, Assessment, and Professional Development , 1997 .

[39]  R. Sawyer The Cambridge Handbook of the Learning Sciences: Introduction , 2014 .

[40]  D. Perkins,et al.  Rocky Roads to Transfer: Rethinking Mechanism of a Neglected Phenomenon , 1989 .

[41]  A. Collins,et al.  Cognition and learning. , 1996 .

[42]  L. Resnick,et al.  Knowing, Learning, and Instruction , 2018 .

[43]  H. Lehmann,et al.  Communication and information technology in medical education , 2001, The Lancet.

[44]  Y. Engeström,et al.  Developmental studies of work as a testbench of activity theory: The case of primary care medical practice , 1993 .

[45]  Susan E. Newman,et al.  Cognitive Apprenticeship: Teaching the Craft of Reading, Writing, and Mathematics. Technical Report No. 403. , 1987 .

[46]  Elizabeth A. Davis,et al.  Scaffolding students' knowledge integration: prompts for reflection in KIE , 2000 .

[47]  Shelagh A. Gallagher,et al.  The Effects of Problem-Based Learning On Problem Solving , 1992 .

[48]  Peggy A. Ertmer,et al.  The expert learner: Strategic, self-regulated, and reflective , 1996 .

[49]  Heather Leary,et al.  A Problem Based Learning Meta Analysis: Differences across Problem Types, Implementation Types, Disciplines, and Assessment Levels. , 2009 .

[50]  John R. Anderson Acquisition of cognitive skill. , 1982 .

[51]  Timothy Koschmann,et al.  Using Technology to Assist in Realizing Effective Learning and Instruction: A Principled Approach to the Use of Computers in Collaborative Learning , 1994 .

[52]  C. Hmelo‐Silver Problem-Based Learning: What and How Do Students Learn? , 2004 .

[53]  Angela M. O'Donnell,et al.  Cognitive Perspectives on Peer Learning , 1999 .

[54]  Toni M. Kempler,et al.  The Cambridge Handbook of the Learning Sciences: Motivation and Cognitive Engagement in Learning Environments , 2005 .

[55]  Sadhana Puntambekar,et al.  Distributed Scaffolding: Helping Students Learn in a ‘Learning by Design’ Environment , 2003 .

[56]  Paul J. Feltovich,et al.  Categorization and Representation of Physics Problems by Experts and Novices , 1981, Cogn. Sci..

[57]  G. Salomon Distributed cognitions : psychological and educational considerations , 1997 .

[58]  Hope J. Hartman Metacognition in teaching and learning: An introduction , 1998 .

[59]  Susanne P. Lajoie,et al.  Constructing knowledge in the context of BioWorld , 2001 .

[60]  Brigid Barron When Smart Groups Fail , 2003 .

[61]  Magdalene Lampert,et al.  Teaching Problems and the Problems of Teaching , 2001 .

[62]  Janet L. Kolodner,et al.  Designing to Learn About Complex Systems , 2000 .

[63]  Lev Vygotsky Mind in society , 1978 .

[64]  E. Soloway,et al.  Learning With Peers: From Small Group Cooperation to Collaborative Communities , 1996 .

[65]  A. King Discourse patterns for mediating peer learning. , 1999 .

[66]  Wolff‐Michael Roth,et al.  Inscriptions: Toward a Theory of Representing as Social Practice , 1998 .

[67]  Joseph Krajcik,et al.  A Scaffolding Design Framework for Software to Support Science Inquiry , 2004, The Journal of the Learning Sciences.

[68]  K. Holyoak,et al.  Mathematical problem solving by analogy. , 1991, Journal of experimental psychology. Learning, memory, and cognition.