Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 10, Issue 1


Published
on

March 17, 2025


Pages


DOI

Article

Research on the Innovation of Artificial Intelligence Oriented Teaching Mode and Improvement of Experimental Teaching for Computer Science Majors

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Authors

Haiyan Liu Affiliation:
North China Institute of Aerospace Engineering, Langfang, Hebei, 065000, China.
, Yanna Wei Affiliation:
North China Institute of Aerospace Engineering, Langfang, Hebei, 065000, China.
and Penghua Zhu Affiliation:
Cangzhou Normal University, Cangzhou, Hebei, 061000, China.


Abstract

This paper realizes the innovation of artificial intelligence-oriented teaching mode by building an experimental teaching system for computer science majors. In the stage of implementation and effect verification, the comparative experimental research method and questionnaire survey method are used to discuss the effectiveness of the teaching mode. After analyzing, it can be seen that in the dimension of computer ability, the mean difference between the control class and the experimental class is 13.458. Before and after the teaching, the gap between computational thinking ability, programming ability, etc., is significant (P<0.05).86.6% of the students liked to take classes by using the experimental teaching system, and 82.2% of the students were satisfied with the resources provided by the experimental teaching system.


Keywords

Artificial intelligence, Computer science major, Comparative experimental method, Experimental teaching system, 68T45


Citation

Liu, H., Wei, Y., & Zhu, P. (2025). Research on the innovation of artificial intelligence oriented teaching mode and improvement of experimental teaching for computer science majors. Applied Mathematics and Nonlinear Sciences, 10(1). https://doi.org/10.2478/amns-2025-0350

Published by: Engineering Journals

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