Published Papers

Volume 31 - Issue 3 (Theme Issue)
Theme Issue Papers

Application and effect evaluation of intelligent computing in education and teaching reform and innovation

Haili Tang, Xiaojuan Cao and Yuanbo Hu
Pages: 1-7Published: 25 Feb 2025
DOI: 10.33430/V31N3THIE-2024-0027
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Tang HL, Cao XJ and Hu YB, Application and effect evaluation of intelligent computing in education and teaching reform and innovation, HKIE Transactions, Vol. 31, No. 3 (Theme Issue), Article THIE-2024-0027, 2025, 10.33430/V31N3THIE-2024-0027

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Abstract:

A multi-objective optimisation method based on the colony ant algorithm is studied to address the problem of learning resource allocation in a high-dimensional data environment. Each ant makes its own search decisions, but their sex hormones interact to speed up the search. A training method based on multi-objective optimisation is designed. Interaction with teachers and classmates is carried out and improvements are made to their global optimisation ability through forward and backward methods. The Pareto record set saves and updates. A set of multi-objective resource scheduling algorithms is constructed. The experimental results show that all the methods proposed in this paper can achieve better results in limited projects.

Keywords:

Learning resource planning; resource constraints; ant algorithm; multi-objective optimisation; heuristic backward improvement

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