Research on the Innovation of Artificial Intelligence Oriented Teaching Mode and Improvement of Experimental Teaching for Computer Science Majors
Pubblicato online: 17 mar 2025
Ricevuto: 13 nov 2024
Accettato: 13 feb 2025
DOI: https://doi.org/10.2478/amns-2025-0350
Parole chiave
© 2025 Haiyan Liu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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.
