@inproceedings{8f45ea525e024f39afdd9ea57c53f17b,
title = "Learning analytics of the relationships among learning behaviors, learning performance, and motivation",
abstract = "Previous research has established that motivation has a positive impact on the learning processes and behaviors [1] [2]. Learning analytics (LA) can play an important role in addressing the issue of collecting learning behaviors. In this study, we observed the teaching activities of three classes and examined the relationships among learning motivation, learning performance, and learning behaviors of students in digital learning material readers. ",
author = "Xuewang Geng and Yufan Xu and Li Chen and Hiroaki Ogata and Atsushi Shimada and Masanori Yamada",
year = "2020",
month = jul,
doi = "10.1109/ICALT49669.2020.00054",
language = "English",
series = "Proceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "161--163",
editor = "Maiga Chang and Sampson, {Demetrios G} and Ronghuai Huang and Danial Hooshyar and Nian-Shing Chen and Kinshuk Kinshuk and Margus Pedaste",
booktitle = "Proceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020",
address = "United States",
note = "20th IEEE International Conference on Advanced Learning Technologies, ICALT 2020 ; Conference date: 06-07-2020 Through 09-07-2020",
}