Cognitive processes in solving variants of computer-based problems used in logic teaching

The effect of two instructional variables, visualisation and manipulation of objects, in learning to use the logical connective, conditional, was investigated. Instructions for 66 first-year social science students were varied in the computer-based learning environment Tarski's World, designed for teaching first-order logic (Barwise & Etchemendy, 1992. The language of first-order logic: including the Microsoft Windows program Tarski's World 4.0 for use with IBM-compatible computers. Stanford, CA: CSLI). For all instructional conditions, the scores on the transfer tests showed a significant increase in understanding the conditional. Visualisation, operationalised as presenting only formal expressions or a geometrical reality in addition to these, showed no differences on the transfer test. If only presented formal expressions, about half of the participants needed to make drawings of the objects, especially when the problems increased in complexity. The manipulation condition, in which the participants could either construct a geometrical world or were presented a fixed world, significantly influenced the participants' cognitive processes in solving the logic problems. The students worked affirmatively and were tempted to stay in familiar situations. The results support the authors' view that visualisation facilitates cognitive processing. Moreover, the results are congruent with Piaget's theory of the development of knowledge of formal science concepts from the action with objects.

[1]  B. White ThinkerTools: Causal Models, Conceptual Change, and Science Education , 1993 .

[2]  J.F.A.K. van Benthem,et al.  Logica, taal en betekenis. I: Inleiding in de logica , 1982 .

[3]  M. Haberman,et al.  Handbook of Research on Teacher Education , 1990 .

[4]  Jon Barwise,et al.  Computers, visualization, and the nature of reasoning , 1998 .

[5]  J. Barwise,et al.  The language of first-order logic , 1991 .

[6]  Richard Bornat,et al.  Why computer science students find formal reasoning frightening , 1994 .

[7]  Jelke van der Pal,et al.  Balancing situativity and formality: the importance of relating a formal language to interactive graphics in logic instruction , 1999 .

[8]  Richard Bornat,et al.  A Review of Several Programs for the Teaching of Logic , 1993, Comput. J..

[9]  Richard Cox,et al.  Contrasting the cognitive effects of graphical and sentential logic teaching: Reasoning, representation and individual differences , 1995 .

[10]  J. Moor,et al.  The digital phoenix : how computers are changing philosophy , 1998 .

[11]  K. Holyoak,et al.  Pragmatic versus syntactic approaches to training deductive reasoning , 1986, Cognitive Psychology.

[12]  Jon Barwise,et al.  The Language of First-Order Logic: Including the Windows Program Tarski's World 4.0 for use with IBM-compatible computers , 1992 .

[13]  Hans Freudenthal,et al.  Revisiting mathematics education : China lectures , 1991 .

[14]  D. R. Lehman,et al.  Teaching reasoning. , 1987, Science.

[15]  Richard E. Nisbett,et al.  A longitudinal study of the effects of undergraduate training on reasoning. , 1990 .

[16]  Richard Cox,et al.  Contrasting the cognitive e(cid:11)ects of graphical and sentential logic teaching: reasoning, representation and individual di(cid:11)erences , 1995 .

[17]  H. Grice Logic and conversation , 1975 .

[18]  P. Johnson-Laird Mental models , 1989 .

[19]  P. Johnson-Laird,et al.  A theoretical analysis of insight into a reasoning task , 1970 .

[20]  M. Posner Foundations of cognitive science , 1989 .

[21]  Barbara Y. White,et al.  Causal Model Progressions as a Foundation for Intelligent Learning Environments , 1990, Artif. Intell..