TY - JOUR
T1 - On the prediction of students’ quiz score by recurrent neural network
AU - Okubo, Fumiya
AU - Yamashita, Takayoshi
AU - Shimada, Atsushi
AU - Taniguchi, Yuta
AU - Shin’ichi, Konomi
N1 - Funding Information:
The research results have been achieved by “Research and Development on Fundamental and Utilization Technologies for Social Big Data” (178A03), the Commissioned Research of National Institute of Information and Communications Technology (NICT), Japan.
Publisher Copyright:
© 2018 CEUR-WS. All Rights Reserved.
PY - 2018
Y1 - 2018
N2 - In this paper, we explore the factor for improving the performance of prediction of students’ quiz scores by using a Recurrent Neural Network. The proposed method is applied to the log data of 2693 students in 15 courses that were conducted with following the common syllabus by 10 teachers. The experimental results show that in the case where the same teacher is not included in both training and test data, the accuracy of prediction slightly lower. We also show that at the beginning of a course, it is better to construct a prediction model including various items of learning logs, however, in the latter half, it is better to update the model by using selected information only.
AB - In this paper, we explore the factor for improving the performance of prediction of students’ quiz scores by using a Recurrent Neural Network. The proposed method is applied to the log data of 2693 students in 15 courses that were conducted with following the common syllabus by 10 teachers. The experimental results show that in the case where the same teacher is not included in both training and test data, the accuracy of prediction slightly lower. We also show that at the beginning of a course, it is better to construct a prediction model including various items of learning logs, however, in the latter half, it is better to update the model by using selected information only.
UR - http://www.scopus.com/inward/record.url?scp=85051971820&partnerID=8YFLogxK
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M3 - Conference article
AN - SCOPUS:85051971820
SN - 1613-0073
VL - 2163
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - 2nd Multimodal Learning Analytics Across (Physical and Digital) Spaces, CrossMMLA 2018
Y2 - 6 March 2018
ER -