Modeling Individual Differences in Students' Learning Strategies

Learners employ a wide variety of strategies when faced with learning and problem solving in a new domain. The focus of this research is on learners' strategies when studying and explaining instructional materials to themselves prior to problem solving. In the first part of the article, we present results from an empirical study in which the learning and self-explanation strategies of subjects studying instructions embedded in a hypertext environment were contrasted with those from subjects learning with more standard, linear instruction. In the hypertext environment, instruction could be browsed in a nonlinear fashion, and the instructional examples were annotated with explanatory elaborations that students could choose to view. We present a Soar computational model that accounts for results from the study. A particular emphasis of the model was on capturing strategy differences between individual subjects. The general modeling approach involved coupling a model of individual subjects' interaction strate...

[1]  David E. Kieras,et al.  The Acquisition and Performance of Text-Editing Skill: A Cognitive Complexity Analysis , 1990, Hum. Comput. Interact..

[2]  W. Kintsch Learning From Text , 1986, Knowing, Learning, and Instruction.

[3]  John R. Anderson,et al.  Skill Acquisition: Compilation of Weak-Method Problem Solutions. , 1987 .

[4]  B. Ross Remindings and their effects in learning a cognitive skill , 1984, Cognitive Psychology.

[5]  John R. Anderson,et al.  Skill Acquisition and the LISP Tutor , 1989, Cogn. Sci..

[6]  P. Pirolli,et al.  The role of learning from examples in the acquisition of recursive programming skills. , 1985 .

[7]  Clayton Lewis,et al.  Theory-based design for easily learned interfaces , 1990 .

[8]  Allen Newell,et al.  SOAR: An Architecture for General Intelligence , 1987, Artif. Intell..

[9]  Kurt VanLehn,et al.  Learning by Explaining Examples to Oneself: A Computational Model , 1993 .

[10]  John R. Anderson,et al.  Cognitive Modeling and Intelligent Tutoring , 1990, Artif. Intell..

[11]  Margaret M. Recker,et al.  Learning Strategies and Transfer in the Domain of Programming , 1994 .

[12]  Ann L. Brown,et al.  Training in Self-Explanation and Self-Regulation Strategies: Investigating the Effects of Knowledge Acquisition Activities on Problem Solving , 1995 .

[13]  John R. Anderson,et al.  The place of cognitive architectures in a rational analysis , 1988 .

[14]  J. Sweller,et al.  The Use of Worked Examples as a Substitute for Problem Solving in Learning Algebra , 1985 .

[15]  J. Sweller,et al.  Structuring Effective Worked Examples , 1990 .

[16]  Robert A. Bjork,et al.  The Generation Effect: Support for a Two-Factor Theory , 1988 .

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

[18]  M. Ferguson-Hessler,et al.  Studying Physics Texts: Differences in Study Processes Between Good and Poor Performers , 1990 .

[19]  Peter Pirolli,et al.  A Cognitive Model and Computer Tutor for Programming Recursion , 1987, SGCH.

[20]  Terry Mayes,et al.  Learning about learning from hypertext , 1990 .

[21]  Kurt VanLehn,et al.  A model of the self-explanation effect. , 1992 .

[22]  J. LeFevre,et al.  Do Written Instructions Need Examples , 1986 .

[23]  Heinz Mandl,et al.  Designing Hypermedia for Learning , 2011, NATO ASI Series.

[24]  A. Newell Unified Theories of Cognition , 1990 .

[25]  E. R. Steinberg Cognition and learner control: a literature review, 1977–1988 , 1989 .

[26]  John R. Anderson,et al.  MACHINE LEARNING An Artificial Intelligence Approach , 2009 .

[27]  John Sweller,et al.  Cognitive Load During Problem Solving: Effects on Learning , 1988, Cogn. Sci..

[28]  L M Reder,et al.  The role of elaborations in learning a skill from an instructional text , 1985, Memory & cognition.

[29]  David H. Jonassen,et al.  HyperText/Hypermedia , 1989 .