Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023)

<Previous Article In Volume
Next Article In Volume>

Course Assessment System Construction of ‘Big Data System and Technology’ in Blended Teaching Mode

Authors
Qiuyun Zhao1, *, Le Wei1
1School of Software Engineering, Chengdu University of Information Technology, Chengdu, 610225, China
*Corresponding author. Email: zqyuen@cuit.edu.cn
Corresponding Author
Qiuyun Zhao
Available Online 11 July 2023.
DOI
10.2991/978-2-38476-062-6_76How to use a DOI?
Keywords
Blended Teaching; Result-oriented; Course Assessment System; Process Assessment; Outcome Assessment
Abstract

Focusing on the problem of evaluation of blended teaching effectiveness for courses in the context of engineering certification, following the OBE concept, adopting both process and outcome assessment, and taking teachers and students as the main subjects of assessment, the principles that should be followed in blended teaching assessment are proposed; And a result-oriented course assessment index system have been constructed from three dimensions of learning initiative, learning process and learning effect under the blended teaching mode. Taking the course ‘Big Data System and Technology’ in the School of Software Engineering, Chengdu University of Information Technology as an example, how assessment indicators can effectively supporting graduation requirement are explained from three aspects: course objectives, course assessment system practice, and calculation of course objective achievement. Practice shows that the result-oriented course assessment system under the blended teaching mode can objectively evaluate the learning effect of students, improve their interest and ability of independent learning, and achieve the intended knowledge, ability and value objectives of the course.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
11 July 2023
ISBN
10.2991/978-2-38476-062-6_76
ISSN
2352-5398
DOI
10.2991/978-2-38476-062-6_76How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Qiuyun Zhao
AU  - Le Wei
PY  - 2023
DA  - 2023/07/11
TI  - Course Assessment System Construction of ‘Big Data System and Technology’ in Blended Teaching Mode
BT  - Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023)
PB  - Atlantis Press
SP  - 597
EP  - 610
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-062-6_76
DO  - 10.2991/978-2-38476-062-6_76
ID  - Zhao2023
ER  -