Aug 2026· Frontiers in Psychology· Vol 17· 0 citations· 27 references
Medicine
TL;DR
These findings suggest that the synergy of practical task redesign, psychological empowerment, and humble mentor leadership may be associated with positive student outcomes in AI-era educational reform, however, due to the cluster-assigned design with one cluster per condition and non-equivalent assessment tasks across groups, all results should be interpreted as exploratory and hypothesis-generating rather than causal.
Abstract
Introduction The rise of generative AI (e.g., ChatGPT, DeepSeek) challenges traditional graduate evaluation systems centered on individual theses and standardized examinations. Current institutional responses—task redesign and AI skills training—have shown limited effectiveness, as they overlook the psychological internalization process, teacher-student relational dynamics, and their synergistic effects. Methods This study conducted a three-arm quasi-experiment with 155 doctoral students in education over one semester. Group A (traditional model) received no AI guidance; Group B received AI skills training only; Group C received comprehensive reform combining AI training, practical team-based projects, and humble mentor leadership training. Psychological empowerment was measured as a mediator, and humble mentor leadership as a moderator. Data were analyzed using regression with cluster-robust standard errors and bootstrap tests. Results Group C scored significantly higher than Groups A and B on course satisfaction, professional competence, and psychological empowerment (all p < 0.001). Psychological empowerment showed a significant indirect association with learning outcomes (indirect effect = 0.22, 95% CI [0.12, 0.34]), with meaning and autonomy as the core dimensions. Humble mentor leadership significantly moderated the engagement–empowerment path within Group C (β = 0.24, p < 0.001), with the conditional indirect effect significant only under high humble leadership. Discussion These findings suggest that the synergy of practical task redesign, psychological empowerment, and humble mentor leadership may be associated with positive student outcomes in AI-era educational reform. However, due to the cluster-assigned design with one cluster per condition and non-equivalent assessment tasks across groups, all results should be interpreted as exploratory and hypothesis-generating rather than causal. Future research should employ multi-cluster or individually randomized designs with common assessment tasks to permit valid causal inference.
Introduction This study investigated the effectiveness of an AI-supported e-mentoring model in enhancing self-efficacy and emotional intelligence among EFL pre-service teachers within the Egyptian practicum context. Methods Using a mixed-methods quasi-experimental design, 50 participants were assigned to an experimenta...
Israa Ismael, Xin Luo, Sen Li· Frontiers in Psychology· 0 citations
This paper reports the results of an intensive faculty-development workshop on generative AI (GenAI), delivered to a community of university teachers with an established practice of peer observation and reflective teaching within the Mentor Project. Adopting a pre-post, single-group design (N = 26 at pre-test, N = 25 a...
The findings suggest that developmental benefits in students' collaboration with GenAI are better understood as theory consistent structural relationships shaped by contextual guidance, calibrated trust, and active regulation rather than as automatic consequences of frequent AI use.
Fan-Shuai Bu, Wei Li· Frontiers in Psychology· 0 citations
Purpose: While the rapid integration of generative artificial intelligence (AI) offers significant pedagogical potential, it often outpaces the psychological scaffolding that anxious learners require, creating a severe affective barrier known as technostress. To address this critical gap, this study investigates whethe...
Ilham Pambudi, N. W. A. Majid, Muhamad Akda Fathul Barri et al.· Recursive Journal of Informa...· 0 citations
The study explores the paradigm shift in education brought about by the introduction of generative artificial intelligence (AI) tools, focusing on educational stakeholders’ self-reported perceptions rather than observed changes in teaching or learning outcomes. We consider stakeholders’ views on AI-based technologies w...
An integrated model linking AI tool use, perceived learning, engagement, critical thinking, self-efficacy, learning outcomes, and employability, with digital literacy as antecedent and faculty support as moderator is tested, confirming that pedagogical scaffolding is essential to converting AI exposure into educational...
N. Iqbal· E-Learning and Digital Media· 0 citations
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