Published: Nov. 6, 2024
Language: Английский
Published: Nov. 6, 2024
Language: Английский
Journal of Educational Computing Research, Journal Year: 2025, Volume and Issue: unknown
Published: April 11, 2025
Generative artificial intelligence (GenAI) has significant potential for educational innovation, although its impact on students’ learning outcomes remains controversial. This study aimed to examine the of GenAI K-12 and higher education students, explore moderating factors influencing this impact. A meta-analysis 49 articles showed that mean effect sizes achievement motivation were 0.857 0.803, respectively, indicating a positive education. However, varied according moderators, including level, subject classification, interface, development, interaction approaches, experimentation time, which enhanced Specifically, had greater academic performance students interacted more effectively with using text than mixed media, such as images or audio. Although novel motivation, size decreases over time. These findings provide empirical support beneficial effects offer insights optimizing use in teaching practices.
Language: Английский
Citations
0Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103837 - 103837
Published: Dec. 1, 2024
Language: Английский
Citations
1Published: Nov. 6, 2024
Language: Английский
Citations
0