Mixed-method analysis shows that Meta AI enhances learning interest in informatics students, indicating potential challenges with technology dependence.
This study analyzes the influence of Meta AI usage on the learning interest of Informatics Education students in the digital era. The main issues addressed are the suboptimal integration of Meta AI in learning processes and students’ readiness to adapt to new technologies. Using a mixed-method approach, data were collected through questionnaires and with second and fourth-semester students. The results indicate that Meta AI significantly enhances learning interest, facilitates information access, and boosts students’ motivation and curiosity. However, challenges regarding technology dependence and privacy issues remain. This research provides recommendations for developing adaptive and effective Meta AI-based learning strategies in higher education.
No takes yet. Share an insight, caveat, or question.
Mone et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: