Understanding Students’ Model Building Strategies Through Discourse Analysis

The benefits of computational model building in STEM domains are well documented yet the synergistic learning processes that lead to the effective learning gains are not fully understood. In this paper, we analyze the discussions between students working collaboratively to build computational models...

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Bibliographic Details
Published inArtificial Intelligence in Education Vol. 11626; pp. 263 - 268
Main Authors Snyder, Caitlin, Hutchins, Nicole, Biswas, Gautam, Grover, Shuchi
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2019
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Collaborative discourse
Computational modeling
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Summary:The benefits of computational model building in STEM domains are well documented yet the synergistic learning processes that lead to the effective learning gains are not fully understood. In this paper, we analyze the discussions between students working collaboratively to build computational models to solve physics problems. From this collaborative discourse, we identify strategies that impact their model building and learning processes.
ISBN:3030232069
9783030232061
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-030-23207-8_49