JSAI Technical Report, SIG-ALST
Online ISSN : 2436-4606
Print ISSN : 1349-4104
95th (Jul. 2022)
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Proposal of A Learning Support System for Understanding of Function from Interpretation of Code Behavior Model in Programming Learning
Taiki MATSUIShintaro MAEDAKento KOIKETakahito TOMOTO
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CONFERENCE PROCEEDINGS FREE ACCESS

Pages 11-

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Abstract

Learning to confirm the behavior of variables from the source code and interpreting the function from that behavior is considered effective in understanding the relationship between the source code and the function. Interpreting functions requires to think about the constraints which variables of behavior. In this study, we propose a learning method for thinking about the constraints of behavior from the source code and develop a support system that facilitates interpretation of functions. Specifically, the learner thinks about what kind of function from the source code that about constraints of behavior.

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© 2022 The Japaense Society for Artificial Intelligence
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