Simulation versus Text: Acquisition of Implicit and Explicit Information

This study investigated potential differences in learning between two instructional activities: reading from a text and using a computer simulation. Participants were undergraduate students with limited knowledge of the domain topic (project management). Participants in both conditions (Simulation and Text) improved equally on a decontextualized, abstract knowledge assessment. In contrast, only the participants in the Simulation condition significantly improved on a contextualized case-based assessment. A propositional analysis revealed that participants in the Simulation condition acquired a significant amount of implicit domain information from pretest to posttest, whereas participants in the Text condition did not. These results suggest that educational computer simulations have the potential to significantly enhance the learning of implicit domain knowledge.

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

[2]  K. A. Ericsson,et al.  Protocol Analysis: Verbal Reports as Data , 1984 .

[3]  John D. Bransford,et al.  New approaches to instruction: because wisdom can't be told , 1989 .

[4]  Sue E. Berryman,et al.  Learning for the Workplace , 1993 .

[5]  Paul J. Feltovich,et al.  Smart machines in education: the coming revolution in educational technology , 2001 .

[6]  M. Chi,et al.  Eliciting Self‐Explanations Improves Understanding , 1994 .

[7]  R. Clark.  Media will never influence learning , 1994 .

[8]  Robert Glaser,et al.  A naturalistic study of transfer: adaptive expertise in technical domains , 1996 .

[9]  Kurt VanLehn,et al.  Adapting Work Simulations for Schools , 1999 .

[10]  L. Resnick.  The 1987 Presidential Address Learning In School and Out , 1987 .

[11]  Michelene T. H. Chi,et al.  Learning from a Computer Workplace Simulation , 2000 .

[12]  V. Marsick.  Learning in the workplace , 1987 .

[13]  K. Holyoak,et al.  Analogical problem solving , 1980, Cognitive Psychology.

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

[15]  E. Pellicer.  Anchored Instruction and Its Relationship to Situated Cognition , 1990 .

[16]  David H. Jonassen,et al.  Learningwith media: Restructuring the debate , 1994 .

[17]  A. Collins,et al.  Situated Cognition and the Culture of Learning , 1989 .

[18]  R. Kozma.  Will media influence learning? Reframing the debate , 1994 .

[19]  Daniel L. Schwartz,et al.  Chapter 3: Rethinking Transfer: A Simple Proposal With Multiple Implications , 1999 .

[20]  Daniel L. Schwartz,et al.  Rethinking transfer: A simple proposal with multiple implica-tions , 1999 .

[21]  Danielle S McNamara,et al.  iSTART: Interactive strategy training for active reading and thinking , 2004, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[22]  Roger C. Schank,et al.  Motivation and failure in educational simulation design , 2001 .

[23]  R. Sternberg,et al.  Transfer on Trial: Intelligence, Cognition and Instruction , 1993 .

[24]  Roger C. Schank,et al.  Virtual Learning: A Revolutionary Approach to Building a Highly Skilled Workforce , 1997 .

[25]  K. Holyoak,et al.  Schema induction and analogical transfer , 1983, Cognitive Psychology.

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

[27]  A. Ortony,et al.  Similarity and Analogical Reasoning , 1991 .

[28]  L. Resnick.  Learning In School and Out , 2008 .

[29]  Tom Cobb,et al.  Cognitive efficiency: Toward a revised theory of media , 1997 .

[30]  W. Duncan.  A GUIDE TO THE PROJECT MANAGEMENT BODY OF KNOWLEDGE , 1996 .

[31]  R. Clark.  Reconsidering Research on Learning from Media , 1983 .

[32]  Richard E. Mayer,et al.  Problem-solving transfer. , 1996 .

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