Research on the Construction of University Curriculum Map Supported by Big Data

DOI

10.2991/assehr.k.191221.036How to use a DOI?

Keywords

Big Data, Curriculum Map, Personalization, Interactive

Abstract

Curriculum map is an important basis for student planning, teacher review courses, and school planning courses. It has been widely adopted in Europe, America and Taiwan, China. With the development of big data technology, the connotation of curriculum maps is constantly enriched. With the support of big data, fully explore the connection between data, it select recommendations through accurate courses, deepen the diagnosis of course conflicts, strengthen the feedback of course results, draw a map of college courses, improve students’ interest in learning, save the teaching staff, optimize teaching work and has opened up another direction for the application of big data in education. With the support of big data, the curriculum map will develop in the direction of individualization, relevance, interaction and intelligence.

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/).

Download article (PDF)

TY  - CONF
AU  - Fan Yang
AU  - Yue Wang
PY  - 2019
DA  - 2019/12/30
TI  - Research on the Construction of University Curriculum Map Supported by Big Data
BT  - Proceedings of the 2019 3rd International Conference on Education, Economics and Management Research (ICEEMR 2019)
PB  - Atlantis Press
SP  - 152
EP  - 154
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.191221.036
DO  - 10.2991/assehr.k.191221.036
ID  - Yang2019
ER  -