Proceedings of the 2020 International Conference on Advanced Education, Management and Information Technology (AEMIT 2020)

Design of Learning Evaluation Model for Distance Education

Authors
Gang Liu
Corresponding Author
Gang Liu
Available Online 28 July 2020.
DOI
10.2991/assehr.k.200727.016How to use a DOI?
Keywords
Distance education, learning evaluation model, formative evaluation, summative evaluation
Abstract

It is one of the core tasks of distance education teaching reform to evaluate students’ learning comprehensively. It is an effective measure to ensure the healthy development of distance education. In this paper, based on the online learning behavior of students, a learning evaluation model of distance education is designed. The learning evaluation model comprehensively evaluates the learning effect of students from two aspects: formative evaluation and summative evaluation, which provides a new reference for learning evaluation of distance education.

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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Volume Title
Proceedings of the 2020 International Conference on Advanced Education, Management and Information Technology (AEMIT 2020)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
28 July 2020
ISBN
10.2991/assehr.k.200727.016
ISSN
2352-5398
DOI
10.2991/assehr.k.200727.016How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Gang Liu
PY  - 2020
DA  - 2020/07/28
TI  - Design of Learning Evaluation Model for Distance Education
BT  - Proceedings of the 2020 International Conference on Advanced Education, Management and Information Technology (AEMIT 2020)
PB  - Atlantis Press
SP  - 70
EP  - 73
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200727.016
DO  - 10.2991/assehr.k.200727.016
ID  - Liu2020
ER  -