Integrating Learning Analytics, AI, and STEM Education:

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.

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Institutions

Publication Details

Journal
International Journal on Research in STEM Education
Published
2024-11-21
DOI
https://doi.org/10.33830/ijrse.v6i2.1745
Citations
1
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.41
Controls
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article

Integrating Learning Analytics, AI, and STEM Education:

Tai Ki Kim
1 citations
International Journal on Research in STEM Education
Online Learning and Analytics
0.41
article

Integrating Learning Analytics, AI, and STEM Education:

Tai Ki Kim
article en
1 citations

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.

International Journal on Research in STEM EducationVol. 6(2)
Yonsei University (KR)
Quality Education
Openalex Percentile: Top 25%
Online Learning and Analytics
0.41
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Integrating Learning Analytics, AI, and STEM Education: — Tai Ki Kim · International Journal on Research in STEM Education (2024) | TGRS Research Map | TGRS