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タイトル: How Does The Quality of Students’ Highlights Affect Their Learning Performance in e-Book Reading
著者: YANG, Albert
CHEN, Y.L. Irene
FLANAGAN, Brendan
OGATA, Hiroaki  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-5216-1576 (unconfirmed)
著者名の別形: 緒方, 広明
キーワード: e-Book reading
learning analytics
learning performance
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: 1
開始ページ: 289
終了ページ: 294
抄録: Measuring a student’s highlight quality is a way to understand how well a student understands the learning materials. In general, students highlight the words or sentences they consider as important concepts during their learning process. An often way to measure students’ highlight quality is to let graders give a highlight score after reading their highlights. However, when graders do not reach agreement on the quality of highlights and give different scores due to different background knowledge, the influence of highlight quality on learning performance may decrease. In this study, we explore the marker function on BookRoll and propose another way to grade students’ highlight quality in terms of its similarity to the reference answer. Students can add highlights as markers when reading learning materials. The instructor will highlight the important concepts in the learning materials as a reference answer. Graders will use this reference answer to grade students’ highlights. The average of students’ quiz scores will be used to denote their learning performance. The results indicate that the highlight quality has a larger influence on students’ learning performance than that of highlight frequency when graders evaluate the highlights along with a reference answer. Next, we divided students into two groups and performed a one-way ANOVA test to evaluate the influence of highlight quality on learning performance, and found that students who achieve high learning performance are also likely to achieve a high highlight score. We further compared the highlight quality and highlight frequency to see which indicator is more correlated with learning performance and found that highlight quality outperforms highlight frequency.
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/2433/259795
出現コレクション:学術雑誌掲載論文等

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