Bayesian network for predicting students' final grade using e-book logs in university education

Kousuke Mouri; Fumiya Okubo; Atsushi Shimada; Hiroaki Ogata

doi:10.1109/ICALT.2016.27

Bayesian network for predicting students' final grade using e-book logs in university education

Kousuke Mouri
, Fumiya Okubo
, Atsushi Shimada
, Hiroaki Ogata

Division for Theoretical Natural Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

31 Citations (Scopus)

Abstract

This paper describes visualization and analysis methods using educational big data collected by research project at Kyushu University in Japan. The project uses an e-book system called BookLooper, Moodle, and Mahara. Logs for this analytics were collected from 99 first-year students in an information science course at Kyushu University. The number of logs are collected approximately 330,000, and this paper visualize and analyze the collected logs. The purpose of this study is to predict students' final grade and to profile visualization and analysis results. The prediction of this study shows that it leads to discoveries of students who fail to make the grade.

Original language	English
Title of host publication	Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016
Editors	J. Michael Spector, Chin-Chung Tsai, Ronghuai Huang, Paul Resta, Demetrios G Sampson, Kinshuk, Nian-Shing Chen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	85-89
Number of pages	5
ISBN (Electronic)	9781467390415
DOIs	https://doi.org/10.1109/ICALT.2016.27
Publication status	Published - Nov 28 2016
Event	16th IEEE International Conference on Advanced Learning Technologies, ICALT 2016 - Austin, United States Duration: Jul 25 2016 → Jul 28 2016

Publication series

Name	Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016

Other

Other	16th IEEE International Conference on Advanced Learning Technologies, ICALT 2016
Country/Territory	United States
City	Austin
Period	7/25/16 → 7/28/16

All Science Journal Classification (ASJC) codes

Human-Computer Interaction
Education
Computer Networks and Communications
Computer Science Applications

Access to Document

10.1109/ICALT.2016.27

Cite this

Mouri, K., Okubo, F., Shimada, A., & Ogata, H. (2016). Bayesian network for predicting students' final grade using e-book logs in university education. In J. M. Spector, C.-C. Tsai, R. Huang, P. Resta, D. G. Sampson, Kinshuk, & N.-S. Chen (Eds.), Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016 (pp. 85-89). Article 7756929 (Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICALT.2016.27

Bayesian network for predicting students' final grade using e-book logs in university education. / Mouri, Kousuke; Okubo, Fumiya ; Shimada, Atsushi et al.
Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016. ed. / J. Michael Spector; Chin-Chung Tsai; Ronghuai Huang; Paul Resta; Demetrios G Sampson; Kinshuk; Nian-Shing Chen. Institute of Electrical and Electronics Engineers Inc., 2016. p. 85-89 7756929 (Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mouri, K, Okubo, F , Shimada, A & Ogata, H 2016, Bayesian network for predicting students' final grade using e-book logs in university education. in JM Spector, C-C Tsai, R Huang, P Resta, DG Sampson, Kinshuk & N-S Chen (eds), Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016., 7756929, Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016, Institute of Electrical and Electronics Engineers Inc., pp. 85-89, 16th IEEE International Conference on Advanced Learning Technologies, ICALT 2016, Austin, United States, 7/25/16. https://doi.org/10.1109/ICALT.2016.27

Mouri K, Okubo F , Shimada A, Ogata H. Bayesian network for predicting students' final grade using e-book logs in university education. In Spector JM, Tsai CC, Huang R, Resta P, Sampson DG, Kinshuk, Chen NS, editors, Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 85-89. 7756929. (Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016). doi: 10.1109/ICALT.2016.27

Mouri, Kousuke ; Okubo, Fumiya ; Shimada, Atsushi et al. / Bayesian network for predicting students' final grade using e-book logs in university education. Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016. editor / J. Michael Spector ; Chin-Chung Tsai ; Ronghuai Huang ; Paul Resta ; Demetrios G Sampson ; Kinshuk ; Nian-Shing Chen. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 85-89 (Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016).

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Bayesian network for predicting students' final grade using e-book logs in university education

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