Toward Next-Generation Learning Strategies through Hands-On Activities in Remote Instruction

Hands-on sessions are essential for enhancing remote instruction, as they promote active engagement and facilitate deeper learning among students. By allowing learners to apply theoretical concepts in practical, real-world contexts, these interactive activities effectively bridge the gap between theory and practice. However, traditional hands-on sessions face several challenges that can limit their effectiveness. As group sizes increase, individual attention can diminish, hindering personalized learning experiences. Additionally, assessing student learning during hands-on activities presents challenges, particularly in group settings, where it can be difficult to measure individual contributions and evaluate each student's understanding and performance.

To address these issues, I propose artificial intelligence-based adaptable hands-on activities that can enhance experiential learning across various educational contexts. These solutions provide more equitable access to learning resources, cater to diverse learning preferences, and improve overall engagement. In this talk, I will focus on the future direction of hands-on learning in remote settings. I will share strategies for effectively implementing these sessions and discuss the anticipated positive outcomes for students’ educational experiences. By adopting these approaches, educators can enhance the effectiveness of remote instruction and better support student learning.