Exploring the Impact of Artificial Intelligence on Students' Engagement and Motivation in Online Learning Environments

Artificial intelligence-based education provides a new foundation for current educational institutions worldwide, generating improvements in teaching and learning methodologies. The study's primary purpose was to investigate the influence of artificial intelligence, namely ChatGPT, on student engagement and provocation in online learning settings. The study employed a quantitative research methodology. The survey included all undergraduate students from Karachi's public and private sector universities. The researcher used a purposive and snowball sampling technique to select a sample of 400 undergraduate students. A questionnaire was created to collect data. The data were analyzed using IBM SPSS (v. 22) and IBM Smart PLS (v. 24) software. The major findings demonstrated that ChatGPT had a substantial and favorable influence on students' academic engagement, motivation, and online learning settings. The study emphasized students' increasing involvement with AI in their online learning process, providing useful information for policymakers, educators, and practitioners, allowing them to develop more successful plans for educational institutions.