TY - JOUR
T1 - Adaptive Learning Support System Based on Automatic Recommendation of Personalized Review Materials
AU - Okubo, Fumiya
AU - Shiino, Tetsuya
AU - Minematsu, Tsubasa
AU - Taniguchi, Yuta
AU - Shimada, Atsushi
N1 - Funding Information:
This work was supported in part by JSPS KAKENHI under Grant JP18H04125 and in part by JST AIP Acceleration Research, Japan, under Grant JPMJCR19U1.
Publisher Copyright:
© 2008-2011 IEEE.
PY - 2023/2/1
Y1 - 2023/2/1
N2 - In this study, we propose an integrated system to support learners' reviews. In the proposed system, the review dashboard is used to recommend review contents that are adaptive to the individual learner's level of understanding and to present other information that is useful for review. The pages of the digital learning materials that are estimated to be insufficiently understood by each learner and the webpages related to those pages are recommended. As a method for estimating such pages, we consider extracting the pages related to the questions that were answered incorrectly. We examined the accuracy of matching each question with the pages of the learning materials. We also conducted an experiment to verify the usefulness of the system and its effect on learning using a review dashboard. In the experiment, the evaluation of the review dashboard indicated that at least half of the participants found it useful for most types of feedback. In addition, the rate of change in quiz scores was significantly higher in the group using the review dashboard, which indicates that using the review dashboard has the effect of improving learning.
AB - In this study, we propose an integrated system to support learners' reviews. In the proposed system, the review dashboard is used to recommend review contents that are adaptive to the individual learner's level of understanding and to present other information that is useful for review. The pages of the digital learning materials that are estimated to be insufficiently understood by each learner and the webpages related to those pages are recommended. As a method for estimating such pages, we consider extracting the pages related to the questions that were answered incorrectly. We examined the accuracy of matching each question with the pages of the learning materials. We also conducted an experiment to verify the usefulness of the system and its effect on learning using a review dashboard. In the experiment, the evaluation of the review dashboard indicated that at least half of the participants found it useful for most types of feedback. In addition, the rate of change in quiz scores was significantly higher in the group using the review dashboard, which indicates that using the review dashboard has the effect of improving learning.
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U2 - 10.1109/TLT.2022.3225206
DO - 10.1109/TLT.2022.3225206
M3 - Article
AN - SCOPUS:85144038153
SN - 1939-1382
VL - 16
SP - 92
EP - 105
JO - IEEE Transactions on Learning Technologies
JF - IEEE Transactions on Learning Technologies
IS - 1
ER -