Effect of Artificial Intelligence Usage on Students' Motivation toward Learning at University Level

Abstract

Artificial Intelligence (AI) usage in education significantly enhances students' motivation by providing personalized learning experiences, fostering intrinsic engagement, and incorporating gamified elements to boost extrinsic motivation. It empowers students through instant feedback and adaptive tools, promoting self-regulation and sustained academic interest. The objectives of the study were to find the effect and relationship between Artificial Intelligence Usage and Students' Motivation toward Learning (intrinsic and extrinsic), and to find the difference between male/female and public/private sector regarding Artificial Intelligence Usage and Students' Motivation toward Learning (intrinsic and extrinsic) at University Level. The design of the study is descriptive in nature. The philosophical paradigm of quantitative research is positivism. The population were comprised of all public and private universities of Lahore district. The instrument of the study were questionnaires. Validity of the instrument was tested through expert opinion while the reliability of the instrument was tested through pilot testing. Cronbach's Alpha was computed to assess the dependability of the tool. Statistical package for social science (SPSS) was used for data analysis. Regression analysis were used for of 1st objective, Pearson r for 2nd objective and Independent sample t-test was used for 3rd research objective. The findings of the study revealed that there was highly significant effect and relationship between Artificial Intelligence Usage and Students' Motivation toward Learning (intrinsic and extrinsic) at university level.

Keywords: Artificial Intelligence Usage, Students' Motivation toward Learning, intrinsic, extrinsic, University Level.