A Study of Artificial Intelligence-Assisted Teaching on the Cultivation of Students’ Creative Ability

Abstract

This paper first studies the use of artificial intelligence technology in the field of education and explores the realization process of “artificial intelligence + education”. Then, the teaching model of “AI+Education” is constructed from three perspectives: knowledge space, creation space and thinking space. Then, based on the logistic regression method, an analytical model of students’ innovation ability was established, and the parameters of the model were solved according to the data to analyze the causal relationship between the variables. Finally, the regression analysis model was used to analyze the relationship between intelligent assisted teaching and students’ innovative ability, innovative knowledgeability, innovative thinking ability, new learning ability and innovative practice ability. The results show that the correlation coefficients of intelligent-assisted teaching and innovative ability and innovative self-efficacy are 0.703 and 0.639, respectively, and all of them are positively correlated at the level of 10%, which indicates that intelligent-assisted teaching promotes the cultivation of students’ innovative ability.

Keywords

• logistic regression
• correlation
• causation
• intelligently assisted instruction
• creativity
• 97c70