<scp>AI</scp> for data generation in education: Towards learning and teaching support at scale

Abstract Supporting learning and teaching at scale requires access to large and high‐quality content and datasets for analysis and innovation. With rapid advances in artificial intelligence (AI) and the growing demand for data, synthetic data has emerged as a potential solution for addressing these challenges. This editorial introduces the contributions of five accepted articles to the special section AI for Synthetic Data Generation in Education: Scaling Teaching and Learning. These articles explore key themes in leveraging AI‐generated synthetic data to support learning and teaching as well as enhance educational practices at scale. The editorial emphasizes that hybrid strategies that leverage AI alongside human judgment are essential for scaling support for learning and teaching through synthetic data generation.

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Publication Details

Journal
British Journal of Educational Technology
Published
2025-03-07
DOI
https://doi.org/10.1111/bjet.13580
Citations
6
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
10.16
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article

AI for data generation in education: Towards learning and teaching support at scale

Qinyi Liu, Mohammad Khalil, Jelena Jovanovic
6 citations
British Journal of Educational Technology
Online Learning and Analytics
10.16
article

AI for data generation in education: Towards learning and teaching support at scale

Qinyi Liu, Mohammad Khalil, Jelena Jovanovic
article en
6 citations

Abstract

Abstract Supporting learning and teaching at scale requires access to large and high‐quality content and datasets for analysis and innovation. With rapid advances in artificial intelligence (AI) and the growing demand for data, synthetic data has emerged as a potential solution for addressing these challenges. This editorial introduces the contributions of five accepted articles to the special section AI for Synthetic Data Generation in Education: Scaling Teaching and Learning. These articles explore key themes in leveraging AI‐generated synthetic data to support learning and teaching as well as enhance educational practices at scale. The editorial emphasizes that hybrid strategies that leverage AI alongside human judgment are essential for scaling support for learning and teaching through synthetic data generation.

British Journal of Educational TechnologyVol. 56(3)
University of Belgrade (RS), University of Bergen (NO)
Openalex Percentile: Top 2%
Online Learning and Analytics
10.16
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<scp>AI</scp> for data generation in education: Towards learning and teaching support at scale — Qinyi Liu, Mohammad Khalil, et al. · British Journal of Educational Technology (2025) | TGRS Research Map | TGRS