• 研究課題をさがす
  • 研究者をさがす
  • KAKENの使い方
  1. 課題ページに戻る

2018 年度 実施状況報告書

Developing a learner-adaptive captioning system to improve second language listening

研究課題

研究課題/領域番号 17K02925
研究機関京都大学

研究代表者

MESHGI Kourosh  京都大学, 情報学研究科, 特定研究員 (80774835)

研究分担者 Mirzaei Maryam  国立研究開発法人理化学研究所, 革新知能統合研究センター, 特別研究員 (10810509)
研究期間 (年度) 2017-04-01 – 2020-03-31
キーワードLearner adaptation / Online machine learning / Active learning
研究実績の概要

The system is used by various instructors and researchers and we improved the usability, ease-of-use and requested features to accomodate the requirement of learners. Mainly, we make the system adaptable to the usage history, fine-tuned on the learners needs and knowledge, and improved learner autonomy.
We submitted two manuscripts to top-rank international CALL conferences, accepted for oral presentation.
M. S. Mirzaei, K. Meshgi, “Learner Adaptive Partial and Synchronized Caption for L2 Listening Skill Development,” in Proc. of EuroCALL’19, Louvain-la-Neuve, Belgium, Aug 2019.
M. S. Mirzaei, K. Meshgi, “Toward Adaptive Partial and Synchronized Caption to Facilitate L2 Listening,” in Proc. of FLEAT VII, Tokyo, Japan, Aug 2019.

現在までの達成度 (区分)
現在までの達成度 (区分)

2: おおむね順調に進展している

理由

We are strictly following the predicted timeline, and have no difficulty pursuing it. The personalization and adaptation part of the proposed system is now implemented in the system according to the plan. The budget would be used to register to EuroCALL and FLEAT conferences for the accepted papers, and to present the achievements of this project to the CALL community.We also plan to publish a journal article on the whole system in a top-tier journal.

今後の研究の推進方策

As planned, the final steps of the study entail more learner personalization, machine learning incorporation, system content generation, online system release, and different experiments including eye-tracking tests, longitudinal test, and collaborate with more teachers and researchers. This round of research requires new equipment, buy online domain and storage for the system to improve its visibility, and to outsource the software to a 3rd party software firm to develop the system in a user-friendly and stable manner.

次年度使用額が生じた理由

Final equipment for the third phase of the projects, including experiments, processing the data, and increasing the publicity of the system online.

  • 研究成果

    (2件)

すべて 2019

すべて 雑誌論文 (2件) (うち国際共著 2件、 査読あり 2件、 オープンアクセス 2件)

  • [雑誌論文] Learner Adaptive Partial and Synchronized Caption for L2 Listening Skill Development2019

    • 著者名/発表者名
      M. S. Mirzaei, K. Meshgi
    • 雑誌名

      EuroCALL’19: Call and Complexity

      巻: TBD ページ: TBD

    • DOI

      TBD

    • 査読あり / オープンアクセス / 国際共著
  • [雑誌論文] Toward Adaptive Partial and Synchronized Caption to Facilitate L2 Listening2019

    • 著者名/発表者名
      M. S. Mirzaei, K. Meshgi
    • 雑誌名

      FLEAT VII: Language Learning with Technology Facing the Future

      巻: TBD ページ: TBD

    • DOI

      TBD

    • 査読あり / オープンアクセス / 国際共著

URL: 

公開日: 2019-12-27  

サービス概要 検索マニュアル よくある質問 お知らせ 利用規程 科研費による研究の帰属

Powered by NII kakenhi