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ID 46381
本文ファイル
著者
Pailai, Jaruwat
Wunnasri, Warunya
Hayashi, Yusuke 大学院工学研究科 広大研究者総覧
Hirashima, Tsukasa 大学院工学研究科 広大研究者総覧
キーワード
Adaptive feedback
Kit-Build concept map
Confidence tagging
NDC
教育
抄録(英)
In this paper, we present an adaptive feedback of Kit-Build concept map with confidence tagging (KB map-CT) for improving the understanding of learners in a reading situation. KB map-CT is a digital tool that supports the concept maps strategy where learners can construct concept maps for representing their understanding as learner maps and can identify their confidence in each proposition of the learner maps as a degree of their understanding. Kit-Build concept map (KB map) has been already realized the propositional level automatic diagnosis of the learner maps. Therefore, KB map-CT can utilize both correctness and confidence information for each proposition to design and distinguish feedback, that is, (1) correct and confident, (2) correct and unconfident, (3) incorrect and confident, and (4) incorrect and unconfident. An experiment was conducted to investigate the effectiveness of the adaptive feedback. The results suggest that learners can revise their maps after receiving feedback appropriately. In “correct and unconfident” case, adaptive feedback is useful to improve the confidence. In the case of “incorrect and confident,” improvement of the propositions was the same ratio with the case of “incorrect and unconfident.” The results of the delay test demonstrate that learners can retain their understanding and confidence one week later.
内容記述
This work was supported by JSPS KAKENHI Grant Number 17H0183901.
'Artificial Intelligence in Education' 19th International Conference, AIED 2018, London, UK, June 27–30, 2018, Proceedings, Part I
掲載誌名
Lecture Notes in Computer Science
10947巻
開始ページ
395
終了ページ
408
出版年月日
2018-06-20
出版者
Springer, Cham
ISSN
0302-9743
1611-3349
ISBN
978-3-319-93842-4
978-3-319-93843-1
出版者DOI
言語
英語
NII資源タイプ
会議発表論文
広大資料タイプ
会議発表論文
DCMIタイプ
text
フォーマット
application/pdf
著者版フラグ
author
権利情報
The final authenticated version is available online at https://doi.org/10.1007/978-3-319-93843-1_29.
This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。
部局名
工学研究科
備考
Post-print version/PDF may be used in an institutional repository after an embargo period of 12 months.