Abstract
This study explores the integration of artificial intelligence (AI) applications in physics teaching at the secondary level. An interactive approach based on Kolb's learning model; The authors evaluated the convergent style of the kolb cycle with the use of simulations and AI-based data analysis systems to improve students' understanding of abstract physics concepts. The results show that these AI tools allow a more intuitive visualization of phenomena and facilitate the interpretation of experimental data. Students who used these resources demonstrated better performance and greater engagement with the subject. This research highlights the potential of AI to enrich physics learning in high school and opens the way to new innovative educational approaches.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: DIROSAT: Journal of Education, Social Sciences & Humanities
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
