| 研究課題/領域番号 |
19J15167
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| 研究種目 |
特別研究員奨励費
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| 配分区分 | 補助金 |
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| 応募区分 | 国内 |
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| 審査区分 |
小区分09070:教育工学関連
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| 研究機関 | 京都大学 |
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研究代表者 |
ABOU KHALIL Victoria 京都大学, 学術情報メディアセンター, 特別研究員(PD)
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| 研究期間 (年度) |
2019-04-25 – 2021-03-31
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| 研究課題ステータス |
完了 (2020年度)
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| 配分額 *注記 |
2,100千円 (直接経費: 2,100千円)
2020年度: 1,000千円 (直接経費: 1,000千円)
2019年度: 1,100千円 (直接経費: 1,100千円)
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| キーワード | Personalization / Vocabulary learning / Language learning / Recommender system / Translation / CALL / Learner-centered / Vocabulary / Informal learning / Language Learning |
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| 研究開始時の研究の概要 |
This research target second language learning. The aim is to create a system that identifies false friends based on the learner’s activity and other learners’ activities, suggest the adequate translation to the student and prevents the learner from making future false friends’ mistakes.
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| 研究実績の概要 |
During the last year, I showed through a case study that currently available language learning curriculum have does not answer the real-life needs of language learners as the words taught cover a very small part of the words language learners need. Consequently, I proposed to take advantage of today's availability of learner data and proposed a framework for personalized vocabulary learning. The framework consists of two main parts. The first part provides language learners translation based on their learning logs. The second part is a demographic based, purpose-based and content-based recommendation system. The recommendation system suggests vocabulary that other people with the same demographics or purpose searched for in their digital dictionaries. Learners' data also enables content-based recommendations by suggesting vocabulary that is thematically similar to the one translated by the learner in the past. Additionally, the past logs are used to detect a change in purpose or recommend words based on the situated context of the learner.
We tested each part of the system separately, and showed that the personalized translation can detect the intended meaning of the learner better than Google Translate. We also showed that recommending vocabulary to language learners using their past learning activity increases their learning achievement and motivation.
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| 現在までの達成度 (段落) |
令和2年度が最終年度であるため、記入しない。
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| 今後の研究の推進方策 |
令和2年度が最終年度であるため、記入しない。
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