Correctness- and Confidence-based Adaptive Feedback of Kit-Build Concept Map with Confidence Tagging
Use this link to cite this item : https://ir.lib.hiroshima-u.ac.jp/00046381
ID | 46381 |
file | |
creator |
Pailai, Jaruwat
Wunnasri, Warunya
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subject | Adaptive feedback
Kit-Build concept map
Confidence tagging
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NDC |
Education
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abstract | 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.
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description | 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
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journal title |
Lecture Notes in Computer Science
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volume | Volume 10947
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start page | 395
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end page | 408
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date of issued | 2018-06-20
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publisher | Springer, Cham
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issn | 0302-9743
1611-3349
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isbn | 978-3-319-93842-4
978-3-319-93843-1
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publisher doi | |
language |
eng
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nii type |
Conference Paper
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HU type |
Conference Papers
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DCMI type | text
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format | application/pdf
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text version | author
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rights | 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。
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department |
Graduate School of Engineering
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note | Post-print version/PDF may be used in an institutional repository after an embargo period of 12 months.
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