Proceedings of the 2016 International Conference on Education, Management and Computer Science

Analysis of Blended Teaching Pattern of Engineering Mechanics in the Information Age

Authors
Yanxia Wang
Corresponding Author
Yanxia Wang
Available Online May 2016.
DOI
https://doi.org/10.2991/icemc-16.2016.132How to use a DOI?
Keywords
Information technology; Engineering mechanics; Blended teaching pattern; Classroom teaching; Network teaching
Abstract
The reformation and innovation of information technology has brought great impact and challenge to modern college teaching. “Mixed Teaching Pattern Analysis” is the change and inheritance of college traditional teaching pattern under current information background and has a strong feasibility and necessity. The mixed teaching pattern is the model of combining teachers' "online education" "Classroom Teaching" with students' "internet learning" "classroom learning". This model is very necessary and realistic.This essay analyzes the problems and solutions existing in the Mixed Teaching Pattern. It is suggested that teachers in universities and colleges should face up to this challenge, update their teaching ideas and promote their teaching skills, improve teaching environment under this information age. By making best use of the advantages and bypassing the disadvantages, the teaching method will be optimized persistently.
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Proceedings
2016 International Conference on Education, Management and Computer Science
Part of series
Advances in Intelligent Systems Research
Publication Date
May 2016
ISBN
978-94-6252-202-2
ISSN
1951-6851
DOI
https://doi.org/10.2991/icemc-16.2016.132How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yanxia Wang
PY  - 2016/05
DA  - 2016/05
TI  - Analysis of Blended Teaching Pattern of Engineering Mechanics in the Information Age
BT  - 2016 International Conference on Education, Management and Computer Science
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icemc-16.2016.132
DO  - https://doi.org/10.2991/icemc-16.2016.132
ID  - Wang2016/05
ER  -