Proceedings of the 7th International Conference on Social Science and Higher Education (ICSSHE 2021)

Analysis on Accurate Early Warning and Intervention Model of Blended Learning in Ideological and Political Courses Based on Learner Portrait

Authors
Yang Zhang1, *
1School of Marxism, Hunan Agricultural University, Changsha, Hunan 410128, China
*Corresponding author. Email: zhangyang66@hunau.edu.cn, 37735349@qq.com
Corresponding Author
Yang Zhang
Available Online 23 November 2021.
DOI
https://doi.org/10.2991/assehr.k.211122.137How to use a DOI?
Keywords
ideological and political theory course; blended learning; learner portrait; learning warning; learning intervention
Abstract

To improve the teaching effect of ideological and political courses, learning early warning and intervention is the key to it. On the basis of learning analysis, this paper puts forward the process and principle of constructing learner portrait, and design the “BILDES” six-side learner portrait model, which includes six dimensions: basic information, internal characteristics, learning style, learning behavior, emotional attitude and social interaction. Based on the portraits of learners, an accurate early-warning and intervention model of blended learning of ideological and political courses is constructed from the theoretical level. In the early-warning mode, warnings are given to students through red lights or green lights, emails, digital dashboards and news push. In the intervention mode, systematic automatic intervention and manual intervention are combined. Through accurate identification, effective early warning, accurate and individualized intervention, the learning crisis can be effectively resolved and the quality of ideological and political courses can be improved.

Copyright
© 2021 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the 7th International Conference on Social Science and Higher Education (ICSSHE 2021)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
23 November 2021
ISBN
978-94-6239-464-3
ISSN
2352-5398
DOI
https://doi.org/10.2991/assehr.k.211122.137How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yang Zhang
PY  - 2021
DA  - 2021/11/23
TI  - Analysis on Accurate Early Warning and Intervention Model of Blended Learning in Ideological and Political Courses Based on Learner Portrait
BT  - Proceedings of the 7th International Conference on Social Science and Higher Education (ICSSHE 2021)
PB  - Atlantis Press
SP  - 464
EP  - 468
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.211122.137
DO  - https://doi.org/10.2991/assehr.k.211122.137
ID  - Zhang2021
ER  -