ArticleScientific reports2025
The mediating role of satisfaction in the relationship between perceived usefulness, perceived ease of use and students' behavioural intention to use ChatGPT.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Why Do Students Feel Satisfied Yet Uneasy with Artificial Intelligence: A Process-Oriented Conceptual Review of How Cognitive and Moral Dissonance Account for the Satisfaction-Dissonance Paradox in Higher Education.Behavioral sciences (Basel, Switzerland) · 2026Review
- Task complexity and AI dependency among college students: the mediating roles of cognitive load, future anxiety, and task motivation.BMC psychology · 2026Article
- Influencing factors of continuance intention of medical applications for the elderly.Scientific reports · 2026Article
- Exploring the psychological factors influencing intention to use AI virtual companions: an SEM-ANN study.Frontiers in psychology · 2026Article
- The influence of physical activity self-efficacy on the continuance use of AI learning tools among physical education students: a three-wave longitudinal study.Frontiers in psychology · 2026Article
- Utility judgments, risk concerns, and generative AI use intention among first-year university students.Frontiers in psychology · 2026Article
- Beyond writing machines: A Kano model analysis of researchers' hierarchical needs for AIGC services across the research lifecycle.PloS one · 2026Article
- An integrated cognitive load-technology acceptance model for explaining behavioral intention to adopt Smart Physical Education Systems for extracurricular physical activity.Frontiers in psychology · 2026Article
- The chain mediating role of critical thinking and AI self-efficacy in GenAI usage competence and engineering students' creativity.Scientific reports · 2025Article
- Applying the technology acceptance model to examine factors influencing chatbot use in HPV prevention education among nursing students.BMC nursing · 2025Article
- Impact of generative AI interaction and output quality on university students' learning outcomes: a technology-mediated and motivation-driven approach.Scientific reports · 2025Article
- The Impact of Informal Digital Learning of English (IDLE) on EFL Learners' Engagement: Mediating Roles of Flow, Online Self-Efficacy, and Behavioral Intention.Behavioral sciences (Basel, Switzerland) · 2025Article
- The impact mechanism of artificial intelligence dependence on college students' innovation capability: an empirical study from China.Frontiers in psychology · 2025Article
- The impact of Chinese undergraduates' perceived acceptance of AI technology on academic achievement: the mediating role of critical thinking.Frontiers in psychology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
ChatGPT is a highly sophisticated AI language model that can revolutionize students' learning experiences by providing much-needed assistance and information. Given the growing trend of educational institutions integrating AI technologies into their teaching and learning processes, it is crucial to understand the factors that would lead to the acceptance and use of these technologies by students. Using a technology acceptance model, this study investigated the mediating role of satisfaction in the relationship between PU, PEU, and behavioral intention to use ChatGPT for student learning. This study used a quantitative research approach, and data were gathered from 297 students using a structured questionnaire. The analysis was conducted using structural equation modelling (SEM) in AMOS Version 26. The results indicated that PU and ease PEU significantly influenced student satisfaction. PU significantly influenced behavioral intentions to use ChatGPT. However, PEU had no direct impact on students' behavioral intention to use ChatGPT. Satisfaction had a significant influence on students' behavioral intention to use ChatGPT. Moreover, satisfaction was confirmed as a significant partial mediator between PU and behavioral intention, as well as a full mediator of the relationship between PEU and behavioral intention. These findings underscore the need to make ChatGPT more useful in academic environments to facilitate increased engagement among students and achieve better learning outcomes. This study enhances the literature on technology acceptance in the context of education, particularly regarding the application of AI tools in learning spaces.
Indexed as
Identifiers
What OpenQuestion holds
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.