Class integration of ChatGPT and learning analytics for higher education

• DOI: 10.1111/exsy.13703
• Publication Date: 2024-08-22T05:34:15Z
• Authors: Miguel Civit; María José Escalona; Francisco Cuadrado; Salvador Reyes‐de...

Abstract Background Active Learning with AI‐tutoring in Higher Education tackles dropout rates. Objectives To investigate teaching‐learning methodologies preferred by students. AHP is used to evaluate a ChatGPT‐based studented learning methodology which compared another active and traditional methodology. Study Analytics alternatives, help students elect the best strategies according their preferences. Methods Comparative study of three counterbalanced Single‐Group 33 university It follows pre‐test/post‐test approach using SAM. HRV GSR for estimation emotional states. Findings Criteria related in‐class experiences valued higher than test‐related criteria. Chat‐GPT integration was well regarded well‐established methodologies. Student emotion self‐assessment correlated physiological measures, validating Analytics. Conclusions Proposed model AI‐Tutoring classroom functions effectively at increasing engagement avoiding false information. measuring allows determine methodologies, biases, acknowledging minority groups.