AI & Social Learning? An Examination of Preservice Teachers’ Perspectives

Aiming to inform the development of effective teacher preparation programs that harness artificial intelligence's (AI) power and ultimately contribute to the broader goal of equitable education, this study investigates preservice teachers’ experiences and perceptions related to AI focusing on social learning. Specifically, it examines preservice teachers’ familiarity with AI, their views on its potential to enhance social learning and their perspectives on designing AI-supported environments to foster social learning. The analyses of data collected from 197 preservice teachers show that about one-third of preservice teachers have no or limited familiarity with AI, and a majority of them expressed hesitations about using AI to foster social learning. Overall, they found AI to be more beneficial for designing virtual learning practices compared to its potential in supporting student social learning, among other findings.

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Publication Details

Journal
Journal of Educational Technology Systems
Published
2025-12-23
DOI
https://doi.org/10.1177/00472395251401925
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00
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article

AI & Social Learning? An Examination of Preservice Teachers’ Perspectives

Emily J. Bailey, Ruddhi Wadadekar, Qing Li, M. Colin Levi
Journal of Educational Technology Systems
Teaching and Learning Programming
article

AI & Social Learning? An Examination of Preservice Teachers’ Perspectives

Emily J. Bailey, Ruddhi Wadadekar, Qing Li, M. Colin Levi
article en

Abstract

Aiming to inform the development of effective teacher preparation programs that harness artificial intelligence's (AI) power and ultimately contribute to the broader goal of equitable education, this study investigates preservice teachers’ experiences and perceptions related to AI focusing on social learning. Specifically, it examines preservice teachers’ familiarity with AI, their views on its potential to enhance social learning and their perspectives on designing AI-supported environments to foster social learning. The analyses of data collected from 197 preservice teachers show that about one-third of preservice teachers have no or limited familiarity with AI, and a majority of them expressed hesitations about using AI to foster social learning. Overall, they found AI to be more beneficial for designing virtual learning practices compared to its potential in supporting student social learning, among other findings.

Journal of Educational Technology SystemsVol. 54(3)
Towson University (US)
Quality Education
Openalex Percentile: Top 29%
Teaching and Learning Programming
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