ArticleBehavioral sciences (Basel, Switzerland)2025
Whether and When Could Generative AI Improve College Student Learning Engagement?
Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Development and validation of the intelligent digital learning student engagement influencing factor scale for medical students.International journal of nursing sciences · 2026Article
- Generative AI-Assisted Preschool Instruction and Children's Creative Learning Engagement: The Mediating Role of Autonomous Motivation and the Buffering Role of Perceived Teacher-Child Interaction Quality.Behavioral sciences (Basel, Switzerland) · 2026Article
- In-Class AI Use and Attitudes Among University Students: The Different Mediating Roles of Cognitive Relief and Cognitive Offloading.Behavioral sciences (Basel, Switzerland) · 2026Article
- A Latent Profile Analysis of Emotions in AI-Mediated IDLE: Associations with Emotion Regulation Strategies and Perceived AI Affordances.Behavioral sciences (Basel, Switzerland) · 2026Article
- In-class AI usage and university students' attitudes: The mediating role of perceived learning engagement benefits.PloS one · 2026Article
- The impact of artificial intelligence literacy on learning engagement among university students: the mediating role of psychological capital and the moderating role of professional identity.Frontiers in psychology · 2026Article
- Family-school autonomy support for children's responsible use of generative artificial intelligence: a self-determination theory synthesis and developmental research agenda.Frontiers in psychology · 2026Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Generative AI (GenAI) technologies have been widely adopted by college students since the launch of ChatGPT in late 2022. While the debate about GenAI's role in higher education continues, there is a lack of empirical evidence regarding whether and when these technologies can improve the learning experience for college students. This study utilizes data from a survey of 72,615 undergraduate students across 25 universities and colleges in China to explore the relationships between GenAI use and student learning engagement in different learning environments. The findings reveal that over sixty percent of Chinese college students use GenAI technologies in Academic Year 2023-2024, with academic use exceeding daily use. GenAI use in academic tasks is related to more cognitive and emotional engagement, though it may also reduce active learning activities and learning motivation. Furthermore, this study highlights that the role of GenAI varies across learning environments. The positive associations of GenAI and student engagement are most prominent for students in "high-challenge and high-support" learning contexts, while GenAI use is mostly negatively associated with student engagement in "low-challenge, high-support" courses. These findings suggest that while GenAI plays a valuable role in the learning process for college students, its effectiveness is fundamentally conditioned by the instructional design of human teachers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.