Theoretically, the current research offers a new lens through which accelerated technology adoption can be analysed and guides tailored digital sustainability interventions in Confucian models of education.
Abstract
Artificial Intelligence (AI) assisted writing tools, such as ChatGPT have arisen rapidly and created a socio-technical phenomenon of fast technology adoption in higher education. Traditional models focus on early adoption but understanding the behavioral pathway that accounts for intensive AI overuse is critical. To summarize, this study enriched the Technology Acceptance Model (TAM) by developing a sequential mediation model: Perceptions (PU/PEOU) → Satisfaction → Habit → AI Overuse and investigated boundary conditions of this process regarding Confucian Cultural Values as moderator. By conducting the survey mixed-mode, from December 2024 to February 2025 data has been collected using a systematic random sampling of Chinese educators at six universities in Chongqing through both individual intercepting and online distribution. Direct, mediation and moderation effects were tested based on Partial Least Squares Structural Equation Modeling (PLS-SEM). Results confirm partial mediation: utility and ease perceptions drive user satisfaction, to the extent that it spurs behavioral automaticity (habit) behind high-intensity use the study characterizes AI Overuse as a relatively high force and goal-oriented behavioral outcome of technology acceleration, separating this from clinical addiction. As for the ability to moderate, Confucian Values firmly bolster the impact of Perceived Usefulness upon Satisfaction according to the power placed on collective welfare. Interestingly, these cultural effects are moderated when the variables Perceived Ease of Use (a cognitive barrier) and Habit (a psychological boundary) are applied. Theoretically, the current research offers a new lens through which accelerated technology adoption can be analysed and guides tailored digital sustainability interventions in Confucian models of education.
Examination of college students’ continuance intention to use AI educational tools in local undergraduate universities across five northwestern Chinese provinces and a capability-centric extension of the unified theory of acceptance and use of technology (UTAUT) are developed.
Yao Wan, Kuan-Min Lu· Frontiers in Psychology· 0 citations
This study builds on the technology acceptance model (TAM) by proposing authentic learning and prompt engineering competence (PEC) as precursors of perceived usefulness (PU), perceived ease of use (PEU), and behavioral intention (BI) to use AI tools.
S. Alshammari, Mohammed Habib Alshammari· Electronic Journal of e-Lear...· 0 citations
The results show that AI self-efficacy, perceived usefulness, and relative advantage have significant positive effects on lecturers’ intention to use AI, and institutional support plays a pivotal moderating role, strengthening the relationship between intention to use AI and actual adoption behaviour.
A.M. Al-Darabseh, S. F. Padlee, Siti Nur et al.· Journal of Intelligent Decis...· 0 citations
It is shown that functional value and risk awareness may coexist rather than offset one another in L2 writing contexts, extending TAM in AI-mediated learning by showing that functional value and risk awareness may coexist rather than offset one another in L2 writing contexts.
This study examined GenAI acceptance among private vocational teachers in Thailand by extending the Unified Theory of Acceptance and Use of Technology (UTAUT) with three AI-specific constructs: AI Literacy, Trust, and Perceived AI Risk and tested Behavioral Intention as an antecedent of Digital Competency.
Findings provide theoretical support for context-sensitive strategies in adult learning and the educational application of GenAI, and different gender groups exhibit significant differences in most structural paths of the research model.
D. Chen, Han-Piao Lin, Tzu-Hsin Chu· Frontiers in Psychology· 1 citation
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