An O2O Teaching Optimization Mode of Ideological and Political Theory Course in Big Data Era

DOI

10.2991/meici-16.2016.255How to use a DOI?

Keywords

Big data era; Ideological and political theory course; Teaching optimization; O2O Mode

Abstract

When entering the big data era, the course teaching of the ideological and political theory is facing new challenges. Based on deeply understanding the characteristics of the big data era, we propose an O2O mode in ideological and political theory course teaching and its characteristics are also presented. For the purpose of course teaching optimization, we give four design principles of O2O mode of teaching the ideological and political theory course. Finally, we explore the contents and the implementation approaches of the O2O teaching mode of ideological and political theory course in the big data era.

Copyright

© 2016, 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  - Honghui Zhu
PY  - 2016/09
DA  - 2016/09
TI  - An O2O Teaching Optimization Mode of Ideological and Political Theory Course in Big Data Era
BT  - Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)
PB  - Atlantis Press
SP  - 1228
EP  - 1231
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-16.2016.255
DO  - 10.2991/meici-16.2016.255
ID  - Zhu2016/09
ER  -