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Research on the Construction of Higher Education Smart Courses Empowered by Artificial Intelligence

Author(s)

Jie Dong*, Qingyun Zhang

Affiliation(s)

School of Electrical and Control Engineering, Shenyang Jianzhu University, Shenyang, Liaoning, China *Corresponding Author.

Abstract

In order to actively implement the national education digitalization strategy action and promote the deep integration of artificial intelligence technology with education and teaching, this study aims to explore the application and impact of artificial intelligence (AI) technology in curriculum construction, which mainly focuses on the application of AI technology, updating the teaching concepts and contents, and innovating the teaching design, and the construction of higher education smart courses driven by AI technology, which focuses on personalized learning experience , intelligent-assisted teaching, automated assessment and feedback, as well as smart course design and implementation, in the expectation of providing theoretical support and practical guidance for higher education institutions in the practice of smart course construction, and helping higher education to develop towards a smarter, more efficient and personalized future.

Keywords

Personalization; Curriculum Building; Smart Curriculum; Artificial Intelligence

References

[1] Yuwei Wang, Peng Gao, Xuelian Han. Research on the coupling empowerment mode of AI and law education in the context of new liberal arts. Journal of Qiqihar University (Philosophy and Social Science Edition), 2023, (08): 158-162. DOI: 10.13971/j.cnki.cn23-1435/c.2023. 08.032. [2] Songyi Liao, Yunchao Huang, Xiangyang Zhou. Practical Exploration of Composite Applied Talent Cultivation in Modern Industrial College Mode--Taking 5G Electronic Material Industrial College of the Greater Bay Area as an Example. Science and Education Guide, 2022, (30): 19-21. DOI: 10.16400/j.cnki.kjdk.2022. 30.007. [3] Xianghua Huang. Analysis of Middle School English Teaching Strategies under the Perspective of Hierarchical Teaching Method. Campus English, 2023, (18): 145-147. [4] Xiaoshu Zhang. Application of Artificial Intelligence in Basic Education--Taking Little Flower Lion Intelligent Adaptive Learning System of East China Normal University as an Example. Seeking Knowledge Journal, 2023, (06): 68-70. DOI: 10.14161/j.cnki.qzdk.2023.06.039. [5] Hsu C H, Wang Y C, Shen H C H, et al. [IEEE 2017 International Conference on Applied System Innovation (ICASI) - Sapporo, Japan (2017.5.13-2017.5.17)] 2017, International Conference on Applied System Innovation (ICASI) - FallCare+: An IoT surveillance system for fall detection//2017 International Conference on Applied System Innovation (ICASI). IEEE, 2017, DOI: 10.1109/ICASI. 2017.7988590. [6] Hu Z, Petoukhov S, Dychka I, et al. [Advances in Intelligent Systems and Computing] Advances in Computer Science for Engineering and Education Volume 754 || Knowledge Representation and Formal Reasoning in Ontologies with Coq. 2019. DOI: 10.1007/978-3-319- 91008-6_74. [7] S. H. Chen, X. E. Hu. Research on the quality evaluation of SPOC model courses based on questionnaire. Computer Education, 2023, (09): 154-158 [8] L Chen, Yuxin Zhang. Exploration of poverty alleviation course model in primary and secondary schools based on blended learning. Modern Education Technology, 2018, 28(07): 58-64. [9] Zhang Hui. Exploration of middle school English informatization teaching based on core literacy. English Teacher, 2023, 23(08): 117-120. [10] Chen J, Zhao J. An Educational Data Mining Model for Supervision of Network Learning Process. International Journal of Emerging Technologies in Learning (iJET), 2018, 13(11).