Analysis and Optimization of Cognitive Load in the Design of Online Teaching on the Internet

DOI

10.2991/assehr.k.200826.148How to use a DOI?

Keywords

Cognitive load, Network teaching design

Abstract

In recent years, colleges and universities rely on the Internet to constantly improve the network classroom teaching. From the present point of view, network teaching is difficult to control students’ learning initiative and attention. At the same time, the main cause of difficulty in acquiring students’ knowledge in the process of network teaching is the increasing cognitive load of brain information processing. This paper analyzes the factors that produce cognitive load on students in existing network courses through the process of brain information processing and attention to dispersal effect in the process of online learning. Through the study, it is found that students’ learning interest, surrounding learning environment and learning tasks are important reasons for cognitive load in the process of online teaching. Therefore, the focus of this paper is to reduce the processing of cognitive information, balance the cognitive order, and design and optimize the corresponding online classroom teaching

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  - Peng Han
AU  - Li Yang
AU  - Liyuan Xu
PY  - 2020
DA  - 2020/08/28
TI  - Analysis and Optimization of Cognitive Load in the Design of Online Teaching on the Internet
BT  - Proceedings of the 2020 4th International Seminar on Education, Management and Social Sciences (ISEMSS 2020)
PB  - Atlantis Press
SP  - 734
EP  - 737
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200826.148
DO  - 10.2991/assehr.k.200826.148
ID  - Han2020
ER  -