Investigating the effect of artificial intelligence in education (AIEd) on learning achievement
A meta-analysis and research synthesis
Dados Bibliográficos
| ID | 21500611 |
|---|---|
| Autores | Ahmed Tlili (0000-0003-1449-7751, Smart Learning Institute of Beijing Normal University, China), Khitam Saqer (An-Najah National University, Palestine), Soheil S Salha (0000-0003-2791-9925, An-Najah National University, autor correspondente), Ronghuai Huang (0000-0003-4651-5248, Smart Learning Institute of Beijing Normal University, China) |
| Ano | 2025 |
| Volume | 41 |
| Fascículo | 3 |
| Páginas | 825-842 |
| Data de publicação | 2025-09-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Information Development (JOURNAL) |
| Identificadores do periódico | ISSN: 0266-6669 • E-ISSN: 1741-6469 |
| Editora | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/02666669241304407 |
| OpenAlex | W4406498220 |
| Idioma | EN |
| Citações recebidas | 7 |
| Referências citadas | 64 |
Scant information exists about how AI with its different technologies might affect learning achievement in different educational fields across different educational levels and geographical distributions of students. Closing this gap can therefore help stakeholders understand under which learning conditions artificial intelligence in education (AIEd) might work or not, hence achieving better learning achievement. To address this research gap, this study conducted a meta-analysis and research synthesis of the effects of AI application on students’ learning achievement. Additionally, this study conducted one step forward to analyze the field of education, level of education, learning mode, intervention duration, and geographical distribution as moderating variables of the effect of AIEd. The Hedges’ g was computed for the effect sizes, where 85 quantitative studies ( N = 10,469 participants) were coded and analyzed. The results indicated that the total effect of AIEd on learning achievement is very large ( g = 1.10, p
Knowledge management · Mathematics education · Meta-analysis · AI in Service Interactions · Computer Science · Online Learning and Analytics · Psychology · Technology-Enhanced Education Studies · Artificial Intelligence
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| Obras citantes distintas | 7 |
|---|---|
| Citações por ano | 7 |
| Intervalo de citações | 2025 - 2026 (2) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 7 |