Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)

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The Application of Blended Teaching Model Aiming at Enhancing Deep Learning Capacity: A Case Study on Translation Majors

Authors
Xueying Xu1, *, Mingkun Chen1
1School of International Studies, Zhejiang University, Hangzhou, China
*Corresponding author. Email: shirleyxxy@zju.edu.cn
Corresponding Author
Xueying Xu
Available Online 30 June 2023.
DOI
10.2991/978-94-6463-172-2_136How to use a DOI?
Keywords
blended teaching; deep learning; DOK; Flipped Classroom + PAD Class; SPSS; translation majors
Abstract

In the context of the deep integration of information technology and education, blended teaching has become part of the teaching model which enhances students’ deep learning capacity in higher education. Taking Norman Webb’s Depth of Knowledge (DOK) as the theoretical framework, this study takes the main course “Advanced EC-CE Translation” of School of International Studies at Zhejiang University as an example, analyzes the innovative “Flipped Classroom + PAD Class”-based blended teaching design and its application effect. The blended teaching quality assessment results of 55 students in the course were used as samples to quantitatively analyze the effectiveness of blended teaching on promoting students’ deep learning capacity. Using SPSS Statistics, the results of the study are statistically significant and provide experience for the optimization of teaching design and teaching programs for related disciplines at universities, and help to enhance the competitiveness of higher education and promote education reform in the information age.

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.

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Volume Title
Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 June 2023
ISBN
978-94-6463-172-2
ISSN
2589-4900
DOI
10.2991/978-94-6463-172-2_136How 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  - Xueying Xu
AU  - Mingkun Chen
PY  - 2023
DA  - 2023/06/30
TI  - The Application of Blended Teaching Model Aiming at Enhancing Deep Learning Capacity: A Case Study on Translation Majors
BT  - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
PB  - Atlantis Press
SP  - 1284
EP  - 1297
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-172-2_136
DO  - 10.2991/978-94-6463-172-2_136
ID  - Xu2023
ER  -