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ファイル | 記述 | サイズ | フォーマット | |
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ICCE2020.2_782.pdf | 159.8 kB | Adobe PDF | 見る/開く |
タイトル: | Improving Skills for Peer Feedback on Spoken Content Using an Asynchronous Learning Analytics App |
著者: | GORHAM, Tom OGATA, Hiroaki https://orcid.org/0000-0001-5216-1576 (unconfirmed) |
著者名の別形: | 緒方, 広明 |
キーワード: | Peer Feedback Learning Analytics Technology Enhanced Language Learning |
発行日: | 23-Nov-2020 |
出版者: | Asia-Pacific Society for Computers in Education (APSCE) |
誌名: | 28th International Conference on Computers in Education Conference Proceedings |
巻: | 2 |
開始ページ: | 782 |
終了ページ: | 785 |
抄録: | Peer feedback can have a powerful effect on language learning outcomes. However, training students to successfully provide peer feedback and the subsequent evaluation of that feedback can be challenging. The first author’s Ph.D. dissertation research will investigate how to improve that training process within the context of English as a foreign language education. First, this paper will describe the preliminary research questions and the motivations underlying these questions. Then, it will describe the design and development of the alpha version of a web app that supports training students to provide peer feedback on spoken content. This app will also be able to act as a platform which supports learning analytics (LA) research. Finally, this paper will lay out the proposed research methodology for moving forward. |
記述: | 28th International Conference on Computers in Education, 23-27 November 2020, Web conference. |
著作権等: | Copyright 2020 Asia-Pacific Society for Computers in Education. 許諾条件に基づいて掲載しています。 |
URI: | http://hdl.handle.net/2433/259804 |
出現コレクション: | 学術雑誌掲載論文等 |
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