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Title: Students’ Self-Regulated Use of Diagrams in a Choice-Based Intelligent Tutoring System
Authors: Nagashima, Tomohiro
Tseng, Stephanie
Ling, Elizabeth
Bartel, Anna N.
Vest, Nicholas A.
Silla, Elena M.
Alibali, Martha W.
Aleven, Vincent
Keywords: Learning Sciences
Issue Date: 2022
Publisher: International Society of the Learning Sciences
Citation: Nagashima, T., Tseng, S., Ling, E., Bartel, A. N., Vest, N. A., Silla, E. M., Alibali, M. W., & Aleven, V. (2022). Students’ self-regulated use of diagrams in a choice-based intelligent tutoring system. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.), Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022 (pp. 1649-1652). International Society of the Learning Sciences.
Abstract: Learners’ choices as to whether and how to use visual representations during learning are an important yet understudied aspect of self-regulated learning. To gain insight, we developed a choice-based intelligent tutor in which students can choose whether and when to use diagrams to aid their problem solving in algebra. In an exploratory classroom study with 26 students, we investigated how learners choose diagrams and how their choice behaviors relate to learning outcomes. Students who proactively chose to use diagrams achieved higher learning outcomes than those who reactively used diagrams when they made incorrect attempts. This study contributes to understanding of self-regulated use of visual representations during problem solving.
Description: Short Paper
Appears in Collections:ISLS Annual Meeting 2022

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