Interactive Learning Behavior Analysis of Wisdom Classroom based on Big Data

DOI

10.2991/erss-18.2019.80How to use a DOI?

Keywords

Big data; wisdom classroom; interactive learning behavior.

Abstract

At present, although the research on learning behavior has made some progress, it is still in infancy. There are still many practical problems need to be solved. For example, how to promote effective learning in class. In the context of big data, this paper proposed a framework to collect and process interaction behavior data in wisdom classroom. First step, collecting and processing the interactive learning behavior data in and after class. Second step, analyzing the interactive learning behavior data. Finally, judging the behavior based on the analysis results. A learning model to form a personalized learning library for students is built in this paper, which performs feedback and guidance for learners' learning activities. Using this framework can achieves individualized or adaptive student learning, and realizes the purpose of promoting effective learning.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dian Wang
AU  - Xue Ding
PY  - 2019/01
DA  - 2019/01
TI  - Interactive Learning Behavior Analysis of Wisdom Classroom based on Big Data
BT  - Proceedings of the 2018 International Workshop on Education Reform and Social Sciences (ERSS 2018)
PB  - Atlantis Press
SP  - 403
EP  - 408
SN  - 2352-5398
UR  - https://doi.org/10.2991/erss-18.2019.80
DO  - 10.2991/erss-18.2019.80
ID  - Wang2019/01
ER  -