Do large language models stimulate student motivation? A meta-analysis of experimental studies

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