Knowledge Resource
Research Summary: Do large language models stimulate student motivation? A meta-analysis of experimental studies
- Original authors
- Attribution requires verification
- Original source
- Educational Technology Research and Development
- Summary & Analysis prepared by
- Aziz Shuaib Ausi
- Resource type
- Research Summary / Knowledge Resource
- Resource published on AZIZ OS
- 31 August 2026
- Last updated
- 11 September 2026
- Reading time
- 1 min
- Publication type
- Knowledge Resource
- Availability
- Open access
About this Summary & Analysis
AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.
A meta-analysis of 51 experimental and quasi-experimental studies indicates that Large Language Models (LLMs) have a moderate and statistically significant positive effect on student motivation. This research synthesizes findings from studies published between 2022 and 2025, addressing the fragmented understanding of LLMs' impact on learning engagement.
Why it matters
The proven moderate positive impact of Large Language Models on student motivation holds strategic significance for organizations involved in education and training. Understanding this effect allows for more informed decisions regarding the integration of advanced AI technologies to enhance learning outcomes and engagement across various developmental stages and professional domains.
Key insights
- LLMs demonstrate a moderate and statistically significant positive effect on student motivation (Standardized Mean Difference = 0.48).
- The analysis included 51 experimental and quasi-experimental studies conducted between 2022 and 2025.
- The study addresses the fragmented empirical evidence regarding LLMs' influence on student motivation in educational environments.
Source
Educational Technology Research and Development — https://link.springer.com/article/10.1007/s11423-026-10687-y
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Citation
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Verification
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- Verification ID
- ASA-EXE-2026-00001
- Version
- v1.0 · r0
- Issued
- 31 August 2026
- Resource prepared by
- Aziz Shuaib Ausi
- Resource status
- Research Summary / Knowledge Resource
- Underlying work
- Do large language models stimulate student motivation? A meta-analysis of experimental studies
- Original authors
- Attribution requires verification
- Original source
- Educational Technology Research and Development
- Provenance status
- Attribution requires verification
- Rights
- Underlying publication rights remain with the respective copyright holder(s). Refer to the original source for authoritative publication and licensing information.
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