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ID 46381
file
creator
Pailai, Jaruwat
Wunnasri, Warunya
subject
Adaptive feedback
Kit-Build concept map
Confidence tagging
NDC
Education
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.
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
journal title
Lecture Notes in Computer Science
volume
Volume 10947
start page
395
end page
408
date of issued
2018-06-20
publisher
Springer, Cham
issn
0302-9743
1611-3349
isbn
978-3-319-93842-4
978-3-319-93843-1
publisher doi
language
eng
nii type
Conference Paper
HU type
Conference Papers
DCMI type
text
format
application/pdf
text version
author
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。
department
Graduate School of Engineering
note
Post-print version/PDF may be used in an institutional repository after an embargo period of 12 months.