An Attempt to Detect Learner’s Hesitation by Machine Learning in Word-Reordering Problems
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- Miyazak Yoshinorii
- 静岡大学 学術院情報学領域
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- Souma Aoi
- 静岡大学 情報学部
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- Zushi Mitsumasa
- 静岡大学 学術院情報学領域
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- Norizuki Ken
- 静岡産業大学 情報学部
Bibliographic Information
- Other Title
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- 英単語並べ替え問題における機械学習による学習者の迷い検出の試み
- エイタンゴ ナラベ カエ モンダイ ニ オケル キカイ ガクシュウ ニ ヨル ガクシュウシャ ノ マヨイ ケンシュツ ノ ココロミ
Search this article
Abstract
<p> It has lately become easier to store learners’ study logs in educational settings, with the advancement of e-Learning systems. Mouse trajectory data is also such an example, by interpolating discrete X and Y-coordinates. Our study group has been involved in the development of a Web application to grasp when learners hesitate in the process of solving English word-reordering problems. The information of learners’ hesitation would be an important clue to know learners’ understanding. Our system provides an interface which records and reproduces learners’ mouse trajectories with click logs for retrieval and analysis of the data. In this study, we adopted a supervised learning technique in machine learning (using random forest algorithm) to detect above-mentioned hesitation and achieved about 82% precision of estimation. Furthermore, this article dealt with the investigation on the use of the “grouping” function for multiple words to be moved together, and the result showed the possibility that this function was used positively to construct phrases and idioms.</p>
Journal
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- Computer & Education
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Computer & Education 45 (0), 31-36, 2018-12-01
CIEC
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Details 詳細情報について
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- CRID
- 1390001288141902720
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- NII Article ID
- 130007659163
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- NII Book ID
- AA11252984
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- ISSN
- 21886962
- 21862168
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- NDL BIB ID
- 029392907
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed