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

An E-learning Space for the Economics Experimental Teaching Based on Pedagogy-Space-Technology Framework

Authors
Xing Pan, Li Zhu
Corresponding Author
Xing Pan
Available Online 28 July 2020.
DOI
10.2991/assehr.k.200727.015How to use a DOI?
Keywords
E-learning spaces, pedagogy-space-technology framework, PST framework, Economics experimental teaching
Abstract

In order to promote the construction and application of personalized E-learning spaces, this article is based on the Pedagogy-Space-Technology (PST) learning space theory as the research framework, starting from the three core elements of teaching method, space and technology. Study the construction of E-learning space in the experimental teaching scenario of economics and management.

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
978-94-6252-992-2
ISSN
2352-5398
DOI
10.2991/assehr.k.200727.015How 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  - Xing Pan
AU  - Li Zhu
PY  - 2020
DA  - 2020/07/28
TI  - An E-learning Space for the Economics Experimental Teaching Based on Pedagogy-Space-Technology Framework
BT  - Proceedings of the 2020 International Conference on Advanced Education, Management and Information Technology (AEMIT 2020)
PB  - Atlantis Press
SP  - 65
EP  - 69
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200727.015
DO  - 10.2991/assehr.k.200727.015
ID  - Pan2020
ER  -