Research on Hybrid Online Course Supervision Platform Based on Data Analysis

DOI

10.2991/assehr.k.200723.125How to use a DOI?

Keywords

Mixed teaching, Supervision platform, Supervision methods

Abstract

In this paper, an example of the supervision platform in mixed teaching is used to study the key issues of online and offline mixing mechanisms. Explore the construction of a hybrid teaching data center through a computer supervision platform, use data analysis methods and machine learning algorithms to construct evaluation indicators and evaluation models for student learning status, and implement personalized teaching for students. This article also introduces in detail the supervision process and supervision methods of Jianghan University’s “University Computer Fundamentals” course to realize the hierarchical teaching of students, and proposes a mixed teaching mode under the environment of large engineering classes.

Copyright

© 2020, 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  - Gang Chen
AU  - Zhicheng Li
AU  - Jiacheng Zhu
PY  - 2020
DA  - 2020/07/24
TI  - Research on Hybrid Online Course Supervision Platform Based on Data Analysis
BT  - Proceedings of the 2020 International Conference on Advanced Education, Management and Social Science (AEMSS2020)
PB  - Atlantis Press
SP  - 174
EP  - 178
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200723.125
DO  - 10.2991/assehr.k.200723.125
ID  - Chen2020
ER  -