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Modeling student benefit from illustrations and graphs

Lipschultz, M and Litman, D (2014) Modeling student benefit from illustrations and graphs. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8474 L. 436 - 441. ISSN 0302-9743

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Abstract

We examine a corpus of physics tutorial dialogues between a computer tutor and students. Either graphs or illustrations were displayed during the dialogues. In this work, stepwise linear regression, augmented to remove unwanted terms, is used to build models that identify situations when each graphic may aid learning. Our experimental results show that grouping students by pretest score, then by gender produces a model that significantly outperforms the baseline. © 2014 Springer International Publishing Switzerland.

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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Lipschultz, Mmil28@pitt.eduMIL28
Litman, Ddlitman@pitt.eduDLITMAN
Centers: Other Centers, Institutes, Offices, or Units > Learning Research & Development Center
Date: 1 January 2014
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 8474 L
Page Range: 436 - 441
Event Type: Conference
DOI or Unique Handle: 10.1007/978-3-319-07221-0_54
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Computer Science
Dietrich School of Arts and Sciences > Computer Science > Intelligent Systems Technical Reports
Refereed: Yes
ISBN: 9783319072203
ISSN: 0302-9743
Related URLs:
Date Deposited: 14 Aug 2014 15:53
Last Modified: 26 Dec 2021 13:55
URI: http://d-scholarship.pitt.edu/id/eprint/22676

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