The effects of self‐explaining when learning with text or diagrams

Self-explaining is an effective metacognitive strategy that can help learners develop deeper understanding of the material they study. This experiment explored if the format of material (i.e., text or diagrams) influences the self-explanation effect. Twenty subjects were presented with information about the human circulatory system and prompted to self-explain; 10 received this information in text and 10 in diagrams. Results showed that students given diagrams performed significantly better on post-tests than students given text. Diagrams students also generated significantly more self-explanations that text students. Furthermore, the benefits of self-explaining were much greater in the diagrams condition. To discover why diagrams can promote the self-explanation effect, results are interpreted with reference to the multiple differences in the semantic, cognitive and affective properties of the texts and diagrams studied.

[1]  Judith Good,et al.  Learning to Think and Communicate with Diagrams: 14 Questions to Consider , 2001, Artificial Intelligence Review.

[2]  Y. Anzai Learning and use of representations for physics expertise , 1991 .

[3]  Takashi Yamauchi,et al.  Learning from human tutoring , 2001, Cogn. Sci..

[4]  Paul Brna,et al.  Supporting the use of external representation in problem solving: the need for flexible learning environments , 1995 .

[5]  Yvonne Rogers,et al.  External cognition: how do graphical representations work? , 1996, Int. J. Hum. Comput. Stud..

[6]  David J. Gilmore,et al.  Comprehension and Recall of Miniature Programs , 1984, Int. J. Man Mach. Stud..

[7]  Shaaron Ainsworth,et al.  Examining the Effects of Different Multiple Representational Systems in Learning Primary Mathematics , 2002 .

[8]  Bernadette Wilkin Learning From Explanations: Diagrams can "Inhibit" the Self- Explanation Effect , 1997 .

[9]  Alexander Renkl,et al.  Learning from Worked-Out-Examples: A Study on Individual Differences , 1997, Cogn. Sci..

[10]  J. Bruner,et al.  The role of tutoring in problem solving. , 1976, Journal of child psychology and psychiatry, and allied disciplines.

[11]  Jiajie Zhang How to Represent Relational Information in Electronic Medical Records: A Human Factors Approach , 1999, AMIA.

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

[13]  R. Cox Representation construction, externalised cognition and individual differences , 1999 .

[14]  Wolfgang Schnotz,et al.  Commentary: Towards an Integrated View of Learning from Text and Visual Displays , 2002 .

[15]  R. Glaser Advances in Instructional Psychology , 1978 .

[16]  Jiajie Zhang,et al.  The Nature of External Representations in Problem Solving , 1997, Cogn. Sci..

[17]  Jiajie Zhang,et al.  Representations in Distributed Cognitive Tasks , 1994, Cogn. Sci..

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

[19]  Cristina Conati,et al.  Toward Computer-Based Support of Meta-Cognitive Skills: a Computational Framework to Coach Self-Explanation , 2000 .

[20]  Jon Oberlander,et al.  A cognitive theory of graphical and linguistic reasoning: logic and implementation. Cognitive Science , 1995 .

[21]  A. Glenberg,et al.  Comprehension of illustrated text: Pictures help to build mental models☆ , 1992 .

[22]  S. Kosslyn Image and Brain: The Resolution of the Imagery Debate , 1994, Journal of Cognitive Neuroscience.

[23]  R. Mayer,et al.  Aids to computer-based multimedia learning , 2002 .

[24]  John R. Anderson,et al.  Abstract Planning and Perceptual Chunks: Elements of Expertise in Geometry , 1990, Cogn. Sci..

[25]  J. Sweller,et al.  Reducing cognitive load by mixing auditory and visual presentation modes , 1995 .

[26]  Herbert A. Simon,et al.  Why a Diagram is (Sometimes) Worth Ten Thousand Words , 1987 .

[27]  A. Baddeley The episodic buffer: a new component of working memory? , 2000, Trends in Cognitive Sciences.

[28]  Yair Neuman,et al.  Is self-explanation while solving problems helpful? The case of analogical problem-solving , 1998 .

[29]  H. Mandl,et al.  Learning from Worked-Out Examples: The Effects of Example Variability and Elicited Self-Explanations , 1998, Contemporary educational psychology.

[30]  P. Johnson-Laird,et al.  PSYCHOLOGICAL SCIENCE Research Article HOW DIAGRAMS CAN IMPROVE REASONING , 2022 .

[31]  Hermina J. M. Tabachneck-Schijf,et al.  CaMeRa: A Computational Model of Multiple Representations , 1997, Cogn. Sci..

[32]  Peter Reimann,et al.  The role of self-explanation in learning to use a spreadsheet through examples , 2000, J. Comput. Assist. Learn..

[33]  Steven P. Shwartz,et al.  On the demystification of mental imagery , 1979, Behavioral and Brain Sciences.

[34]  Vincent Aleven,et al.  An effective metacognitive strategy: learning by doing and explaining with a computer-based Cognitive Tutor , 2002, Cogn. Sci..

[35]  J. Bruner Actual minds, possible worlds , 1985 .

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