Abstract

This study explores the impact of Artificial Intelligence (AI) tools on the learning outcomes and course satisfaction among preservice teachers. Conducted within the context of EDG4444 - Instructional Design and Classroom Management at the University of South Florida, the research compares the performance and satisfaction levels of two groups of students: those who used AI tools and those who did not. Using a combination of classroom management project scores, course satisfaction surveys, and standardized university evaluation forms, the study provides a data-driven insight into the efficacy of AI integration in teacher education. The results indicate a significant improvement in both academic performance and course satisfaction among students using AI tools, underscoring the potential of AI in enhancing educational methodologies.

Citation

Unal, Z. & Unal, A. (2024). Enhancing Preservice Teacher Education through AI Tools: A Comparative Study in Classroom Management & Course Satisfaction. In J. Cohen & G. Solano (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 892-897). Las Vegas, Nevada, United States: Association for the Advancement of Computing in Education (AACE). Retrieved August 10, 2024 from https://www.learntechlib.org/primary/p/224057/.

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