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Analysing the Impact of Artificial Intelligence and Computational Sciences on Student Performance: Systematic Review and Meta-analysis
- Truvace record
- TRV-2026-2857raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Systematic review or meta-analysis
- Sources
- 1 sourcePeer-reviewed
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Abstract Artificial intelligence (AI) and computational sciences have aroused a growing interest in education. Despite its relatively recent history, AI is increasingly being introduced into the classroom through different modalities, with the aim of improving student achievement. Thus, the purpose of the research is to analyse, quantitatively and qualitatively, the impact of AI components and computational sciences on student performance. For this purpose, a systematic review and meta-analysis have been carried…
The gain
A systematic review and meta-analysis of 25 articles found that AI and computational sciences had a positive impact on student performance, with higher attitude towards learning and motivation, especially in STEM subjects.
What this doesn’t fix
The authors say that implementing these technologies in instruction poses a great educational and ethical challenge for teachers regarding design and implementation, which requires further analysis.
Sources
1 on file- Journal of New Approaches in Educational Researchdoi:10.7821/naer.2023.1.1240
Cite this record
v1Truvace Impact Record TRV-2026-2857, v1: “Analysing the Impact of Artificial Intelligence and Computational Sciences on Student Performance: Systematic Review and Meta-analysis.” Truvace, 2026-11-12. /record/TRV-2026-2857 (accessed on the day you copy it). sha256 6ee33a6d4d4037cd…
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