Two Uses Horizontal Building Computers in Science of Motion Simulation and Teaching: Simulation

Computers possess a unique range of properties to assist the learning of Mathematics and Science. Of particular importance is their interactivity, exemplified by supporting Direct Manipulation, Memory Augmentation, Qualitative Reasoning, Conflict Resolution and the presentation of Counter-Factual examples. This paper describes two ways in which these properties have been explored. Firstly, in the design of an 'alternate realities' simulation for exploring horizontal motion. Secondly, by focusing on the importance of internal and self-generated external visual representations in problem solving, the design of a combined animation / modelling system is suggested.

[1]  Dorothea P. Simon,et al.  Expert and Novice Performance in Solving Physics Problems , 1980, Science.

[2]  Johan de Kleer,et al.  A Qualitative Physics Based on Confluences , 1984, Artif. Intell..

[3]  John A. Hortin,et al.  Research for Teachers on Visual Thinking to Solve Verbal Problems , 1985 .

[4]  William J. McIntosh,et al.  The effect of imagery generation on science rule learning , 1986 .

[5]  D. Winnicott Playing and Reality , 1971 .

[6]  Robert Waller Four aspects of graphic communication , 1979 .

[7]  M. Macdonald-Ross,et al.  Scientific diagrams and the generation of plausible hypotheses: An essay in the history of ideas , 1979 .

[8]  Stephen M. Kosslyn,et al.  Ghosts in the mind's machine: Creating and using images in the brain , 1983 .

[9]  Nadia Magnenat-Thalmann The Problematics of Facial Animation , 1989 .

[10]  P. Lafferty,et al.  Force and Motion , 1992 .

[11]  Mark L. Johnson The Body in the Mind: The Bodily Basis of Meaning, Imagination, and Reason , 1989 .

[12]  Seymour Papert,et al.  Mindstorms: Children, Computers, and Powerful Ideas , 1981 .

[13]  Craig W. Reynolds Computer animation with scripts and actors , 1982, SIGGRAPH.

[14]  R. A. Hodgkin,et al.  Playing and exploring : education through the discovery of order , 1985 .

[15]  Yuichiro Anzai,et al.  Internal Models in Physics Problem Solving , 1984 .

[16]  Linda B. Gambrell,et al.  Mental Imagery and the Comprehension-Monitoring Performance of Fourth- and Fifth-Grade Poor Readers. , 1986 .

[17]  Keith Duncan,et al.  Cognitive Engineering , 2017, Encyclopedia of GIS.

[18]  Geir Kaufmann Imagery, language, and cognition: Toward a theory of symbolic activity in human problem-solving , 1980 .

[19]  David Riley,et al.  Learning about systems by making models , 1990 .