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Student Log Analysis Functions for Web-based Programming Education Support Tool pgtracer
https://ipsj.ixsq.nii.ac.jp/records/197988
https://ipsj.ixsq.nii.ac.jp/records/19798887862f89-34ca-4f04-ba18-260b1b947db6
| 名前 / ファイル | ライセンス | アクション |
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IPSJ-TCE0502004.pdf (3.7 MB)
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Copyright (c) 2019 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | Trans(1) | |||||||||
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| 公開日 | 2019-06-28 | |||||||||
| タイトル | ||||||||||
| タイトル | Student Log Analysis Functions for Web-based Programming Education Support Tool pgtracer | |||||||||
| タイトル | ||||||||||
| 言語 | en | |||||||||
| タイトル | Student Log Analysis Functions for Web-based Programming Education Support Tool pgtracer | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | [論文（英語論文）] learning analytics, e-Learning, computer programming, fill-in-the-blank question, Moodle | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||
| 資源タイプ | journal article | |||||||||
| 著者所属 | ||||||||||
| Saga University | ||||||||||
| 著者所属 | ||||||||||
| Saga University | ||||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| Saga University | ||||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| Saga University | ||||||||||
| 著者名 |
Tetsuro, Kakeshita
× Tetsuro, Kakeshita
× Kosuke, Ohta
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| 著者名(英) |
Tetsuro, Kakeshita
× Tetsuro, Kakeshita
× Kosuke, Ohta
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| 論文抄録 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | We are developing a programming education support tool pgtracer as a plug-in of well-known Web-based Learning Management System Moodle. Pgtracer provides fill-in-the-blank questions composed of a C++ program and a trace table to students. When a student answers a question by filling the blanks, pgtracer automatically collects student's answers, required time, evaluation result, etc. as student log. In this paper, we propose and evaluate seven analysis functions of the student log. The student log analysis functions are classified into the analysis functions of a student, those of a question, and those of an answering process. A teacher can analyze achievement level of the students and difficulty level of the problems utilizing the analysis functions. Some of the functions are also provided to the students as student feedback functions. We perform a preliminary evaluation of the analysis functions against two teachers teaching computer programming to demonstrate the usefulness of the proposed functions. We also perform an evaluation experiment at an actual class and demonstrate usability of the student feedback functions. The two teachers and more than 80% of the students positively appreciate the proposed functions through our survey evaluation. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.27(2019) (online) ------------------------------ |
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| 論文抄録(英) | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | We are developing a programming education support tool pgtracer as a plug-in of well-known Web-based Learning Management System Moodle. Pgtracer provides fill-in-the-blank questions composed of a C++ program and a trace table to students. When a student answers a question by filling the blanks, pgtracer automatically collects student's answers, required time, evaluation result, etc. as student log. In this paper, we propose and evaluate seven analysis functions of the student log. The student log analysis functions are classified into the analysis functions of a student, those of a question, and those of an answering process. A teacher can analyze achievement level of the students and difficulty level of the problems utilizing the analysis functions. Some of the functions are also provided to the students as student feedback functions. We perform a preliminary evaluation of the analysis functions against two teachers teaching computer programming to demonstrate the usefulness of the proposed functions. We also perform an evaluation experiment at an actual class and demonstrate usability of the student feedback functions. The two teachers and more than 80% of the students positively appreciate the proposed functions through our survey evaluation. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.27(2019) (online) ------------------------------ |
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| 書誌レコードID | ||||||||||
| 収録物識別子タイプ | NCID | |||||||||
| 収録物識別子 | AA12697953 | |||||||||
| 書誌情報 |
情報処理学会論文誌教育とコンピュータ（TCE） 巻 5, 号 2, 発行日 2019-06-28 |
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| ISSN | ||||||||||
| 収録物識別子タイプ | ISSN | |||||||||
| 収録物識別子 | 2188-4234 | |||||||||
| 出版者 | ||||||||||
| 言語 | ja | |||||||||
| 出版者 | 情報処理学会 | |||||||||
