Proceedings of the 2020 6th International Conference on Social Science and Higher Education (ICSSHE 2020)

Research on College Mathematics Education Based on TPACK theory

Authors
Fengmei Xin, Hui Wang, Ying Guo
Corresponding Author
Fengmei Xin
Available Online 16 December 2020.
DOI
10.2991/assehr.k.201214.096How to use a DOI?
Keywords
TPACK theory, technology teaching, teaching ability, Mathematics
Abstract

In order to solve the main contradiction between the weak technical skills and the subject teaching ability required by the society at that time, the TPACK knowledge structure of mathematics teachers was explored based on TPACK theory, aiming at the bottleneck of current university teaching and education. It provides a new development direction for modern mathematics teaching methods. After research and discussion, the teaching method based on TPACK is suitable for mathematics teaching in applied colleges and universities.

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 6th International Conference on Social Science and Higher Education (ICSSHE 2020)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
16 December 2020
ISBN
10.2991/assehr.k.201214.096
ISSN
2352-5398
DOI
10.2991/assehr.k.201214.096How 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  - Fengmei Xin
AU  - Hui Wang
AU  - Ying Guo
PY  - 2020
DA  - 2020/12/16
TI  - Research on College Mathematics Education Based on TPACK theory
BT  - Proceedings of the 2020 6th International Conference on Social Science and Higher Education (ICSSHE 2020)
PB  - Atlantis Press
SP  - 507
EP  - 511
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201214.096
DO  - 10.2991/assehr.k.201214.096
ID  - Xin2020
ER  -