Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)

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The Development and Optimization of Digital Blended Learning Mode

Authors
Dong Zeng1, Yifen Yin1, *, Peiwen Guo2, 3, *
1Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, 999078, China
2School of Management, Guangzhou Xinhua University, Guangzhou, 510520, China
3Department of Government and Public Administration, Faculty of Social Sciences, University of Macau, Macao, 999078, China
*Corresponding author. Email: yfyin@mpu.edu.mo
*Corresponding author. Email: guopw@xhsysu.edu.cn
Corresponding Authors
Yifen Yin, Peiwen Guo
Available Online 4 July 2023.
DOI
10.2991/978-94-6463-192-0_151How to use a DOI?
Keywords
Blended learning; Digital learning; M-learning; Educational technology
Abstract

With the development of mobile Internet technology, the new network ecology has produced many impacts and challenges to the education industry and teaching mode, and mobile learning, a blended learning mode based on digital platforms, has been introduced into various teaching scenarios. Exploring how to apply the digital learning platform, play the resource integration and penetration function of online and offline blended learning, and maximize the realization of “effective teaching” and “effective learning” is an unavoidable issue in the future exploration and practice of blended learning modes. In recent years, higher education has been trying to introduce digital blended learning platforms into college classrooms. However, how to correctly recognize the essence of blended learning, how to realize the sustainable development of teaching resources, and how to effectively use digital technology to promote knowledge sharing are urgent problems to be solved in the current upsurge of digital blended learning. Through experimental design and case analysis, this study summarizes some difficulties in the development and application of digital blended learning modes, analyzes the reasons, and proposes some optimization strategies on this basis.

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 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
4 July 2023
ISBN
10.2991/978-94-6463-192-0_151
ISSN
2667-128X
DOI
10.2991/978-94-6463-192-0_151How 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  - Dong Zeng
AU  - Yifen Yin
AU  - Peiwen Guo
PY  - 2023
DA  - 2023/07/04
TI  - The Development and Optimization of Digital Blended Learning Mode
BT  - Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)
PB  - Atlantis Press
SP  - 1166
EP  - 1174
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-192-0_151
DO  - 10.2991/978-94-6463-192-0_151
ID  - Zeng2023
ER  -