The effects of GenAI on learning performance: A meta-analysis study

Artificial Intelligence (AI) has become increasingly prevalent in education, and Generative AI (GenAI) has emerged as a new concept in AI technology. Educators continue to debate the advantages and disadvantages of GenAI in education. To guide these discussions, further analysis is needed to determi...

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Vydané v:Educational Technology ＆ Society Ročník 28; číslo 3; s. 263 - 280
Hlavní autori: Gokoglu, Seyfullah, Erdogdu, Fatih
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: International Forum of Educational Technology ＆ Society 01.07.2025
International Forum of Educational Technology & Society, National Taiwan Normal University, Taiwan
International Forum of Educational Technology & Society
Predmet:
Analysis
Computational linguistics
Education
Educational evaluation
effect size
genai
Generative artificial intelligence in education: Theories, technologies, and applications
Language processing
learning performance
meta-analysis
Methods
Natural language interfaces
GenAI
Learning performance
Effect size
Meta-analysis
ISSN:1176-3647, 1436-4522, 1436-4522
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Abstract Artificial Intelligence (AI) has become increasingly prevalent in education, and Generative AI (GenAI) has emerged as a new concept in AI technology. Educators continue to debate the advantages and disadvantages of GenAI in education. To guide these discussions, further analysis is needed to determine the impact of GenAI on educational outcomes. This study aims to investigate the effect of GenAI on learning performance using the meta-analysis method. This meta-analysis study synthesized the results of 31 articles involving 2646 participants. The results show that GenAI has a moderately positive effect on learning performance (g = .689). There is no publication bias in determining the validity of the effect. The analysis included the effect sizes of seven moderator variables: sample level, sample size, research design, learning domain, research setting, intervention duration, GenAI tool, and testing format. Only intervention duration, GenAI tool, and testing format significantly moderated the effectiveness of GenAI on learning performance.
AbstractList Artificial Intelligence (AI) has become increasingly prevalent in education, and Generative AI (GenAI) has emerged as a new concept in AI technology. Educators continue to debate the advantages and disadvantages of GenAI in education. To guide these discussions, further analysis is needed to determine the impact of GenAI on educational outcomes. This study aims to investigate the effect of GenAI on learning performance using the meta-analysis method. This meta-analysis study synthesized the results of 31 articles involving 2646 participants. The results show that GenAI has a moderately positive effect on learning performance (g = .689). There is no publication bias in determining the validity of the effect. The analysis included the effect sizes of seven moderator variables: sample level, sample size, research design, learning domain, research setting, intervention duration, GenAI tool, and testing format. Only intervention duration, GenAI tool, and testing format significantly moderated the effectiveness of GenAI on learning performance.
Artificial Intelligence (AI) has become increasingly prevalent in education, and Generative AI (GenAI) has emerged as a new concept in AI technology. Educators continue to debate the advantages and disadvantages of GenAI in education. To guide these discussions, further analysis is needed to determine the impact of GenAI on educational outcomes. This study aims to investigate the effect of GenAI on learning performance using the meta-analysis method. This meta-analysis study synthesized the results of 31 articles involving 2646 participants. The results show that GenAI has a moderately positive effect on learning performance (g = .689). There is no publication bias in determining the validity of the effect. The analysis included the effect sizes of seven moderator variables: sample level, sample size, research design, learning domain, research setting, intervention duration, GenAI tool, and testing format. Only intervention duration, GenAI tool, and testing format significantly moderated the effectiveness of GenAI on learning performance. Keywords: GenAI, Learning performance, Meta-analysis, Effect size
Audience Academic
Author Fatih Erdoğdu
Seyfullah Gökoğlu
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SubjectTerms Analysis
Computational linguistics
Education
Educational evaluation
effect size
genai
Generative artificial intelligence in education: Theories, technologies, and applications
Language processing
learning performance
meta-analysis
Methods
Natural language interfaces
Title The effects of GenAI on learning performance: A meta-analysis study
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