A Learning Support System for Programming that Promotes Understanding of Source Code Function Through Behavior Modeling

Taiki Matsui; Shintaro Maeda; Kento Koike; Takahito Tomoto

doi:10.1007/978-3-031-35129-7_22

A Learning Support System for Programming that Promotes Understanding of Source Code Function Through Behavior Modeling

Taiki Matsui, Shintaro Maeda, Kento Koike, Takahito Tomoto

Department of Information and Computer Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

When learning programming, it is important to learn the source code of others, and to do this one must understand what functionality corresponds to each part of the source code. In this study, we define a behavior as a change in the initial and final states of a variable in the source code and propose a learning method in which the learner is asked to think about how the behavior is modeled and to interpret it as a function. We also proposed a learning support system including feedback functions for the trial-and-error process.

Original language	English
Title of host publication	Human Interface and the Management of Information - Thematic Area, HIMI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings
Editors	Hirohiko Mori, Yumi Asahi
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	298-309
Number of pages	12
ISBN (Print)	9783031351280
DOIs	https://doi.org/10.1007/978-3-031-35129-7_22
Publication status	Published - 2023
Event	International Conference on Human Interface and the Management of Information, HIMI 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023 - Copenhagen, Denmark Duration: 23 Jul 2023 → 28 Jul 2023

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14016 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Human Interface and the Management of Information, HIMI 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023
Country/Territory	Denmark
City	Copenhagen
Period	23/07/23 → 28/07/23

Keywords

Behavior
Behavior Constraint
Behavior Model
Function
Function Model
Source Code

Access to Document

10.1007/978-3-031-35129-7_22

Cite this

Matsui, T., Maeda, S., Koike, K., & Tomoto, T. (2023). A Learning Support System for Programming that Promotes Understanding of Source Code Function Through Behavior Modeling. In H. Mori, & Y. Asahi (Eds.), Human Interface and the Management of Information - Thematic Area, HIMI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings (pp. 298-309). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14016 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-35129-7_22

Matsui, Taiki ; Maeda, Shintaro ; Koike, Kento et al. / A Learning Support System for Programming that Promotes Understanding of Source Code Function Through Behavior Modeling. Human Interface and the Management of Information - Thematic Area, HIMI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings. editor / Hirohiko Mori ; Yumi Asahi. Springer Science and Business Media Deutschland GmbH, 2023. pp. 298-309 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "When learning programming, it is important to learn the source code of others, and to do this one must understand what functionality corresponds to each part of the source code. In this study, we define a behavior as a change in the initial and final states of a variable in the source code and propose a learning method in which the learner is asked to think about how the behavior is modeled and to interpret it as a function. We also proposed a learning support system including feedback functions for the trial-and-error process.",

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author = "Taiki Matsui and Shintaro Maeda and Kento Koike and Takahito Tomoto",

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Matsui, T, Maeda, S, Koike, K & Tomoto, T 2023, A Learning Support System for Programming that Promotes Understanding of Source Code Function Through Behavior Modeling. in H Mori & Y Asahi (eds), Human Interface and the Management of Information - Thematic Area, HIMI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14016 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 298-309, International Conference on Human Interface and the Management of Information, HIMI 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023, Copenhagen, Denmark, 23/07/23. https://doi.org/10.1007/978-3-031-35129-7_22

A Learning Support System for Programming that Promotes Understanding of Source Code Function Through Behavior Modeling. / Matsui, Taiki; Maeda, Shintaro; Koike, Kento et al.
Human Interface and the Management of Information - Thematic Area, HIMI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings. ed. / Hirohiko Mori; Yumi Asahi. Springer Science and Business Media Deutschland GmbH, 2023. p. 298-309 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14016 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Matsui T, Maeda S, Koike K, Tomoto T. A Learning Support System for Programming that Promotes Understanding of Source Code Function Through Behavior Modeling. In Mori H, Asahi Y, editors, Human Interface and the Management of Information - Thematic Area, HIMI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 298-309. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-35129-7_22