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23rd KES International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES)

作者： Oeda, Shinichi Chieda, Mutsumi Kisarazu Coll Natl Inst Technol Dept Informat & Comp Engn 11-1Kiyomidaihigashi 2 Chome Kisarazu City Chiba Japan Kisarazu Coll Natl Inst Technol Adv Course Control & Informat Engn 11-1Kiyomidaihigashi 2 Chome Kisarazu City Chiba Japan

To evaluate the ability of a programmer in universities or staff agencies, evaluators conduct examination in which applicants solve problems, or they refer to the applicants' GitHub and review their code. However, the collected source code is evaluated by a human under present conditions. This leads to two problems: many source codes cannot be evaluated simultaneously, and it is difficult to maintain consistency in the evaluation criteria among evaluators. We propose methods to estimate the current skill of the programmer, which can be used by the evaluators to understand an applicant's skill by analyzing the collected source code automatically. In particular, this study visualizes the feature of the students' source code in term of quarters using a decision tree to estimate the programming skill. (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/) Peer-review under responsibility of KES International.

关键词： Programming lesson beginner programmer Decision Tree Random Forest Latent Skill EDM(Educational Data Mining)

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Development of a Check Sheet for Code-review towards Improvement of Skill Level of Novice programmers 22

Development of a Check Sheet for Code-review towards Improve...

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22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES)

作者： Oeda, Shinichi Kosaku, Hajime Kisarazu Coll Dept Informat & Comp Engn Natl Inst Technol 11-1 Kiyomidaihigashi 2 Chome Kisarazu City Chiba Japan Univ Tsukuba Dept Policy & Planning Sci Grad Sch Syst & Informat Engn 1-1-1 Tennodai Tsukuba Ibaraki Japan

To learn different art forms, such as painting, calligraphy, or music, students usually learn by watching and evaluating several works of art to hone and improve their skills. Similarly, when learning programming, previous studies in education have suggested that referring to programs written by other programmers was an effective method to improve programming skills. However, beginners or novices in programming with low skill levels cannot evaluate or comprehend advanced programs written by expert programmers because of their inability to read them. Therefore, in this paper, we propose a novel code-review method using check sheets to help improve the skills of beginner level programmers. In particular, in order to create a check sheet that enables effective learning, we choose from various question items and to create an optimal check sheet that is applicable for programming lessons. The proposed method applies Item response theory (IRT), which is widely used for estimating the difficulty level and discrimination ability of the questions in an examination. In this study, IRT was applied to the items on the check sheet to eliminate ineffective. (C) 2018 The Authors. Published by Elsevier Ltd.

关键词： Code-review Cheack sheet Item response theory Programming lesson beginner programmer

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Development of a Check Sheet for Code-review towards Improvement of Skill Level of Novice programmers

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Procedia Computer Science 2018年 126卷 841-849页

作者： Shinichi Oeda Hajime Kosaku Department of Information and Computer Engineering National Institute of Technology Kisarazu College 11-1 Kiyomidaihigashi 2-chome Kisarazu City Chiba Japan Department of Policy and Planning Sciences Graduate School of Systems and Information Engineering University of Tsukuba 1-1-1 Tennodai Tsukuba City Ibaraki Japan

关键词： Code-review Cheack sheet Item response theory Programming lesson beginner programmer

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Visualization of Programming Skill Structure by Log-Data Analysis with Decision Tree

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Procedia Computer Science 2019年 159卷 582-589页

作者： Shinichi Oeda Mutsumi Chieda Department of Information and Computer Engineering National Institute of Technology Kisarazu College 11-1 Kiyomidaihigashi 2-chome Kisarazu City Chiba Japan Advanced Course of Control and Information Engineering National Institute of Technology Kisarazu College 11-1 Kiyomidaihigashi 2-chome Kisarazu City Chiba Japan

To evaluate the ability of a programmer in universities or staff agencies, evaluators conduct examination in which applicants solve problems, or they refer to the applicants’ GitHub and review their code. However, the collected source code is evaluated by a human under present conditions. This leads to two problems: many source codes cannot be evaluated simultaneously, and it is difficult to maintain consistency in the evaluation criteria among evaluators. We propose methods to estimate the current skill of the programmer, which can be used by the evaluators to understand an applicant’s skill by analyzing the collected source code automatically. In particular, this study visualizes the feature of the students’ source code in term of quarters using a decision tree to estimate the programming skill.

关键词： Programming lesson beginner programmer Decision Tree Random Forest Latent Skill EDM(Educational Data Mining)

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