TY - GEN
T1 - ‘Tis Better to Construct than to Receive? The Effects of Diagram Tools on Causal Reasoning
AU - Easterday, Matthew W.
AU - Aleven, Vincent
AU - Scheines, Richard
N1 - Publisher Copyright:
© 2007 The authors and IOS Press. All rights reserved.
PY - 2007
Y1 - 2007
N2 - Previous research on the use of diagrams for argumentation instruction has highlighted, but not conclusively demonstrated, their potential benefits. We examine the relative benefits of using diagrams and diagramming tools to teach causal reasoning about public policy. Sixty-three Carnegie Mellon University students were asked to analyze short policy texts using either: 1) text only, 2) text and a pre-made, correct diagram representing the causal claims in the text, or 3) text and a diagramming tool with which to construct their own causal diagram. After a pretest and training, we tested student performance on a new policy text and found that students given a correct diagram (condition 2 above) significantly outperformed the other groups. Finally, we compared learning by testing students on a third policy problem in which we removed all diagram or tool aids and found that students who constructed their own diagrams (condition 3 above) learned the most. We describe these results and interpret them in a way that foreshadows work we now plan for a cognitive-tutor on causal diagram construction.
AB - Previous research on the use of diagrams for argumentation instruction has highlighted, but not conclusively demonstrated, their potential benefits. We examine the relative benefits of using diagrams and diagramming tools to teach causal reasoning about public policy. Sixty-three Carnegie Mellon University students were asked to analyze short policy texts using either: 1) text only, 2) text and a pre-made, correct diagram representing the causal claims in the text, or 3) text and a diagramming tool with which to construct their own causal diagram. After a pretest and training, we tested student performance on a new policy text and found that students given a correct diagram (condition 2 above) significantly outperformed the other groups. Finally, we compared learning by testing students on a third policy problem in which we removed all diagram or tool aids and found that students who constructed their own diagrams (condition 3 above) learned the most. We describe these results and interpret them in a way that foreshadows work we now plan for a cognitive-tutor on causal diagram construction.
KW - Causal reasoning
KW - Diagrammatic reasoning
KW - External representations
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M3 - Conference contribution
AN - SCOPUS:85140090140
T3 - Frontiers in Artificial Intelligence and Applications
SP - 93
EP - 100
BT - Artificial Intelligence in Education
A2 - Luckin, Rosemary
A2 - Koedinger, Kenneth R.
A2 - Greer, Jim
PB - IOS Press BV
T2 - 13th International Conference on Artificial Intelligence in Education, AIED 2007
Y2 - 9 July 2007 through 13 July 2007
ER -