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  • metaanálisis

Bibliografía: metaanálisis

Nº de publicaciones: 47
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A meta-review of generative AI in education: Synthesizing findings from systematic reviews
Lijie Zhang, Xinyan Deng, Rustam Shadiev (2026)
Journal of Educational Computing Research
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Generative Artificial Intelligence (GenAI), exemplified by models such as DeepSeek and ChatGPT, is rapidly reshaping education by fostering new pedagogical approaches, including personalized learning, adaptive feedback, and multi-modal instruction. This pedagogical transformation has led to a growing number of review studies examining the applications of GenAI applications across diverse educational contexts. Existing reviews tend to concentrate on various dimensions, such as educational levels, subject domains, or particular GenAI tools and their applications to support teaching and learning. However, to the best of our knowledge, no meta-review has yet been conducted to systematically examine and consolidate the findings of existing review studies on GenAI in education. To address this gap, the present study conducts a systematic...

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Do AI chatbots improve students learning outcomes… Evidence from a meta-analysis
Rong Wu, Zhonggen Yu (2024)
British Journal of Educational Technology
Detalles Cerrar βœ•

Tipo: artículo

Metodología: metaanálisis

Temas: inteligencia artificial

Resumen:

Texto completo

Artificial intelligence (AI) chatbots are gaining increasing popularity in education. The proliferation of experimental studies has highlighted the need to summarize and synthesize the inconsistent findings about the effects of AI chatbots on students' learning outcomes. The present study performed a meta-analysis of 24 randomized studies. The main goal was to meta-analytically examine the effects of AI chatbots on students' learning outcomes and the moderating effects of educational levels and intervention duration. The results indicated that AI chatbots had a large effect on students' learning outcomes. Moreover, AI chatbots had a greater effect on students in...

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A systematic review and meta-analysis of the effectiveness of Generative Artificial Intelligence (GenAI) on students’ motivation and engagement
Qi Xia, Weijia Li, Yiming Yang (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

The rapid development of generative artificial intelligence (GenAI) technologies has revolutionized higher education, enhancing personalized learning and teaching practices. This study conducts a systematic review and meta-analysis to investigate the effects of GenAI on university students' motivation and engagement (cognitive, behavioural, emotional, and agency). By synthesizing experimental studies and applying association rule mining, the study (i) identifies significant positive impacts of GenAI on students' motivation and engagement across diverse educational settings. (ii) key moderating variables, such as subject category, learning strategy, and context of GenAI usage, are shown to...

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The effectiveness of gamification in programming education: Evidence from a meta-analysis
Zehui Zhan, Luyao He, Yao Tong (2022)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

This paper aimed at constructing a systematic framework and examining the effect of gamification in programming education through a meta-analysis conducted on 21 empirical studies published in the last decade. We examined the effects of game types, gamification applications, pedagogical agents, programming types, and schooling levels on students' academic achievement, cognitive load, motivation, and thinking skills in programming education by cross-tabulation analysis. Results verified the positive impact of gamification in programming education. Gamification has the largest effect on students' motivation, followed by academic achievement, whereas it has the least effect on students'...

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Effectiveness of Artificial Intelligence (AI) in language teaching
Peter Joseph Torres, Yunus Emre Kahveci (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

This study examines the effectiveness of artificial intelligence (AI) in language teaching, particularly in English as a Foreign Language (EFL) classrooms, following AI's increased adoption after the COVID-19 pandemic. Through a multilevel meta-analysis of 117 effect sizes across 46 empirical studies published between 2022 and 2025, results show that AI has a statistically significant medium-to-large overall impact on language learning (g = 0.74, 95 % CI [0.57, 0.92], p < .001) across all five major skills, with vocabulary showing the strongest effects, followed by reading, writing, listening, and speaking.Grounded in constructivist, adaptive learning, and cognitive load theories,...

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AI in informal digital English learning: A meta-analysis of its effectiveness on proficiency, motivation, and self-regulation
Lihang Guan, Shaofeng Li, Mingyue Michelle Gu (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

This meta-analysis examines the efficacy of generative artificial intelligence (GenAI) in second language acquisition within self-directed, out-of-classroom informal contexts. A total of 15 studies meeting the inclusion criteria were identified that examined the impact of GenAI on second-language proficiency, motivation, and self-regulation. GenAI was shown to have significant effects on English proficiency and self-regulation, demonstrating its versatility in enhancing language learning outcomes. However, GenAI failed to show significant effects on learning motivation, and based on this finding we highlight the need to develop measures of motivation that are suitable for GenAI in education...

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Undergraduate students’ learning outcomes with ChatGPT: A meta-analytic study
Fangfang Mo, Jing Huang, Yao Yang (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

ChatGPT has gained substantial attention in the field of higher education, particularly for its potential to enhance undergraduate students' learning outcomes. To better understand ChatGPT's impact, we conducted a meta-analysis evaluating the effects of ChatGPT applications on undergraduate students' learning outcomes, with data collected from studies published between January 1st, 2023, and May 31st, 2025. Our search across nine academic databases identified 5555 potential studies, of which 66 met the pre-defined inclusion criteria and were selected for meta-analysis. The meta-analysis incorporated 129 effect sizes, allowing us to estimate the overall impact of ChatGPT on undergraduate...

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How ChatGPT impacts student engagement from a systematic review and meta-analysis study
Yuk Mui Elly Heung, Thomas K.F. Chiu (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

Generative artificial intelligence, such as ChatGPT, has been increasingly integrated into education to change student learning experience. Current empirical studies have mixed results on how ChatGPT impacts student behavioral, cognitive, and emotional engagement. This systematic literature review and meta-analysis explores whether and how ChatGPT impacts student behavioral, cognitive, and emotional engagement. We used the PRISMA method to select, analyze, and report the results. We screened 766 articles from four databases and identified 17 empirical studies with 1735 students for analysis. We compared the effect on student engagement between ChatGPT-based and non-ChatGPT learning. We...

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Examining the effect of artificial intelligence in relation to students’ academic achievement: A meta-analysis
Liu Dong, Xiuxiu Tang, Xiyu Wang (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

Recent developments in artificial intelligence (AI) have revolutionized the field of education as its presence and benefits enable new methods for teaching and learning. Therefore, many empirical studies have been conducted to evaluate the effectiveness of using AI on students' academic achievement. The purpose of this meta-analysis study was to examine the overall effect of AI on students' academic achievement in relation to a set of moderator variables including educational level, role of AI, intervention duration, sample size, learning strategy, subject area, and type of AI. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a total of...

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The flipped classroom in second language learning: A meta-analysis
Joseph P. Vitta, Ali H. Al-Hoorie (2023)
Language Teaching Research
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: aula invertida/flipped learning

Resumen:

Flipped learning has become a popular approach in various educational fields, including second language teaching. In this approach, the conventional educational process is reversed so that learners do their homework and prepare the material before going to class. Class time is then devoted to practice, discussion, and higher-order thinking tasks in order to consolidate learning. In this article, we meta-analysed 56 language learning reports involving 61 unique samples and 4,220 participants. Our results showed that flipped classrooms outperformed traditional classrooms, g = 0.99, 95% CI (0.81, 1.17), z = 10.90, p .001. However, this effect had high heterogeneity (about 86%), while applying the Trim and Fill method for publication bias made it shrink to g = 0.58, 95% CI (0.37, 0.78). Moderator analysis also showed that reports...

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