Research on Classroom Teaching Model Innovation of Statistics Course under the Background of Blended Learning

DOI

10.2991/icemaess-17.2017.119How to use a DOI?

Keywords

Blended Learning; Statistics Course; Classroom teaching; Model Construction

Abstract

In the era of big data, mass data is springing up, whose cleaning and optimization extraction require rigorous statistical thinking and solid statistical theory. Statistics is a methodological science which solves the problems of screening, organizing and analyzing the data. Nowadays, the traditional single partial reform strategy on teaching method cannot meet the requirements of statistical ability training. This article will study the statistics course which is taken the most in the Economics and Management Majors of colleges and analyze the disadvantages of the traditional teaching model. Then this paper will construct a blended teaching model of four dimensions, namely teacher, student, classroom teaching and information learning environment, and analyze the evident advantage to make the statistics be more practical.

Copyright

© 2017, 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  - Yulan Li
PY  - 2017/12
DA  - 2017/12
TI  - Research on Classroom Teaching Model Innovation of Statistics Course under the Background of Blended Learning
BT  - Proceedings of the 4th International Conference on Education, Management, Arts, Economics and Social Science (ICEMAESS 2017)
PB  - Atlantis Press
SP  - 541
EP  - 545
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemaess-17.2017.119
DO  - 10.2991/icemaess-17.2017.119
ID  - Li2017/12
ER  -