International Journal of Research in STEM Education
Vol. 6 No. 2 (2024): November Issue

Integrating Learning Analytics, AI, and STEM Education: : A Comprehensive Review

Kim, Tai Ki (Unknown)



Article Info

Publish Date
21 Nov 2024

Abstract

This paper presents a comprehensive review of the integration of Learning Analytics (LA), Artificial Intelligence (AI), and STEM education within classroom settings, aimed at enhancing educational outcomes. By examining the synergistic effects and interactions among LA, AI, and STEM disciplines, this review highlights how these technologies can collectively transform educational practices. It discusses the potential of LA and AI to personalize learning experiences, thereby improving engagement and academic success in STEM subjects. The paper also explores various case studies and success stories, illustrating practical implementations and the significant impact these technologies have made in schools. Additionally, it addresses the challenges and considerations related to the ethical use of AI and data privacy, providing insights into how educators and policymakers can navigate these issues. Overall, this review underscores the critical role of technology in shaping the future of education by fostering more adaptive and inclusive learning environments.

Copyrights © 2024






Journal Info

Abbrev

ijrse

Publisher

Subject

Chemistry Education Environmental Science Mathematics Physics

Description

Focus and Scope The International Journal on Research in STEM Education (IJRSE) aims to facilitate multi-disciplinary research and development by publishing empirical contributions that combine subject content expertise with educational and technological endeavors. IJRSE provides a unique platform ...