| Item type |
デフォルトアイテムタイプ_（フル）(1) |
| 公開日 |
2023-03-18 |
| タイトル |
|
|
タイトル |
Correctness- and Confidence-based Adaptive Feedback of Kit-Build Concept Map with Confidence Tagging |
|
言語 |
en |
| 作成者 |
Pailai, Jaruwat
Wunnasri, Warunya
Hayashi, Yusuke
Hirashima, Tsukasa
|
| アクセス権 |
|
|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 権利情報 |
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|
権利情報 |
The final authenticated version is available online at https://doi.org/10.1007/978-3-319-93843-1_29. |
| 権利情報 |
|
|
権利情報 |
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。 |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
Adaptive feedback |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
Kit-Build concept map |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
Confidence tagging |
| 主題 |
|
|
主題Scheme |
NDC |
|
主題 |
370 |
| 内容記述 |
|
|
内容記述 |
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. |
|
言語 |
en |
| 内容記述 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
This work was supported by JSPS KAKENHI Grant Number 17H0183901. |
| 内容記述 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
'Artificial Intelligence in Education' 19th International Conference, AIED 2018, London, UK, June 27–30, 2018, Proceedings, Part I |
| 出版者 |
|
|
出版者 |
Springer, Cham |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
|
資源タイプ |
conference paper |
| 出版タイプ |
|
|
出版タイプ |
AO |
|
出版タイプResource |
http://purl.org/coar/version/c_b1a7d7d4d402bcce |
| 関連情報 |
|
|
|
識別子タイプ |
ISBN |
|
|
関連識別子 |
978-3-319-93842-4 |
| 関連情報 |
|
|
|
識別子タイプ |
ISBN |
|
|
関連識別子 |
978-3-319-93843-1 |
| 関連情報 |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
10.1007/978-3-319-93843-1_29 |
| 収録物識別子 |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
0302-9743 |
| 収録物識別子 |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
1611-3349 |
| 開始ページ |
|
|
開始ページ |
395 |
| 書誌情報 |
Lecture Notes in Computer Science
Lecture Notes in Computer Science
巻 10947,
p. 395-408,
発行日 2018-06-20
|
| 旧ID |
46381 |
| 備考 |
Post-print version/PDF may be used in an institutional repository after an embargo period of 12 months. |
AIED2018_395.pdf (436.9 KB)
