Analyzing Educational Relationships Using AI-Teacher Collaboration Model : A Virtual Scenario-Based Study

This study analyzes the effect of introducing artificial intelligence (AI) technology on the teacher-student relationship and educational human relationships and proposes an AI-teacher collaboration model to support the holistic development of learners. The importance of human interaction is explained based on Buber’s theory of the “I-Thou” and “I-It” relationships, and the qualitative improvement of interactions in an AI-based learning environment is discussed based on Dewey’s empirical educational theory. AI provides real-time analysis of learning data and customizes feedback, thus facilitating teachers in supporting emotional scaffolding and comprehensive learning to promote learning motivation and engagement. Through a virtual-scenario analysis, this study empirically examines whether the AI-teacher collaboration can maximize learners’ self-directed learning and educational performance. The results suggest that AI-teacher collaboration is key to the future paradigm shift in education.

Authors

Publication Details

Journal
Korea Industrial Technology Convergence Society
Published
2024-12-31
DOI
https://doi.org/10.29279/jitr.k.2024.29.4.113
Citations
2
Primary Topic
Diverse Approaches in Healthcare and Education Studies
Type
article
Field-Weighted Citation Impact
1.09
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article

Analyzing Educational Relationships Using AI-Teacher Collaboration Model : A Virtual Scenario-Based Study

Soo‐Jeong Hwang, Jon‐Chao Hong
2 citations
Korea Industrial Technology Convergence Society
Diverse Approaches in Healthcare and Education Studies
1.09
article

Analyzing Educational Relationships Using AI-Teacher Collaboration Model : A Virtual Scenario-Based Study

Soo‐Jeong Hwang, Jon‐Chao Hong
article en
2 citations

Abstract

This study analyzes the effect of introducing artificial intelligence (AI) technology on the teacher-student relationship and educational human relationships and proposes an AI-teacher collaboration model to support the holistic development of learners. The importance of human interaction is explained based on Buber’s theory of the “I-Thou” and “I-It” relationships, and the qualitative improvement of interactions in an AI-based learning environment is discussed based on Dewey’s empirical educational theory. AI provides real-time analysis of learning data and customizes feedback, thus facilitating teachers in supporting emotional scaffolding and comprehensive learning to promote learning motivation and engagement. Through a virtual-scenario analysis, this study empirically examines whether the AI-teacher collaboration can maximize learners’ self-directed learning and educational performance. The results suggest that AI-teacher collaboration is key to the future paradigm shift in education.

Korea Industrial Technology Convergence SocietyVol. 29(4)
Openalex Percentile: Top 19%
Diverse Approaches in Healthcare and Education Studies
1.09
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