Proceedings of the 5th International Conference on Internet Finance and Digital Economy (ICIFDE 2025)

Research on the Practical Path of Building Smart Courses of Economics in the Context of Educational Digitization

Authors
Yang Bai1, Naiwen Zhang1, Yuanhao Fan1, Simiao Zhao1, *
1Harbin Institute of Information Engineering, Harbin, China
*Corresponding author. Email: 778534886@qq.com
Corresponding Author
Simiao Zhao
Available Online 6 November 2025.
DOI
10.2991/978-94-6463-886-8_13How to use a DOI?
Keywords
Digitalization of Education; Smart Education; Pathways to Practice; TOPCARES-CDIO; Five Star Pedagogy; ICAP Theory; Economics Curriculum
Abstract

Under the wave of “Artificial Intelligence + Education”, the digital transformation of education is accelerating, and the construction of economics smart courses has become a key hand to improve the quality of economics teaching. Currently, economics courses are facing problems such as difficulty in connecting the construction of knowledge system with fragmented content, difficulty in transferring knowledge and transforming abstract theories, and difficulty in adapting personalized learning needs and large-scale teaching. It is particularly important to explore scientific paths to construction. Constructing a closed-loop system oriented to course objectives, precisely guiding the design of teaching activities through the course objectives, diversifying the teaching evaluation throughout the teaching activities, and feeding back the optimization of the objectives through intelligent analysis of the evaluation results to form a dynamic iterative mechanism. At the same time, a synergistic model of the Five Star Teaching Method and ICAP Theory has been adopted for the practical aspects of teaching. By focusing on the core aspects of teaching activities such as context creation and task-driven, thus emphasizing the depth of interaction and cognitive level of student participation, the combination of the two can effectively stimulate in-depth learning and higher-order thinking, empowering blended teaching scenarios. Practice shows that the path realizes precise landing of teaching objectives, data-driven teaching process, and significant optimization of learning experience, significantly improves the effectiveness of blended teaching, and provides a feasible paradigm for the digital transformation of economics education.

Copyright
© 2025 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 5th International Conference on Internet Finance and Digital Economy (ICIFDE 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
6 November 2025
ISBN
978-94-6463-886-8
ISSN
2352-5428
DOI
10.2991/978-94-6463-886-8_13How to use a DOI?
Copyright
© 2025 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

TY  - CONF
AU  - Yang Bai
AU  - Naiwen Zhang
AU  - Yuanhao Fan
AU  - Simiao Zhao
PY  - 2025
DA  - 2025/11/06
TI  - Research on the Practical Path of Building Smart Courses of Economics in the Context of Educational Digitization
BT  - Proceedings of the 5th International Conference on Internet Finance and Digital Economy (ICIFDE 2025)
PB  - Atlantis Press
SP  - 124
EP  - 138
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-886-8_13
DO  - 10.2991/978-94-6463-886-8_13
ID  - Bai2025
ER  -