AI-supported e-mentoring model integrating human mentoring with AI-driven support across engagement, analysis, feedback, and reflection cycles¶
Design · All designs
Evidence · no claims cited
Description¶
The article proposes a dynamic, iterative e-mentoring system in which pre-service teachers generate inputs through learning activities, teaching practice, and reflective interaction; an AI system analyzes these inputs to provide personalized feedback, while human mentors offer contextual guidance and socio-emotional support. The authors state it is 'a dynamic, iterative system integrating human mentoring with AI-driven support to enhance both pedagogical and emotional development'. AI is positioned as augmenting, not replacing, the human mentor.
Design Implications¶
Context¶
Requirements¶
- Human mentors must provide contextual guidance, professional judgment, and socio-emotional support alongside AI-driven feedback
Constraints¶
- AI does not replace the human mentor but augments the mentoring process, per the article's own framing
Target Learners¶
- EFL pre-service teachers in practicum
Learning Goals¶
- teacher self-efficacy
- emotional intelligence
- pedagogical and emotional development
Claims¶
Related Designs¶
- Three-phase practicum e-mentoring cycle: pre-practicum preparation, during-practicum supported practice, post-practicum reflection
- Teacher-mentor-AI collaboration as a distributed expertise system in AI technology creation
Examples¶
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Key Sources¶
- Ismael I, Luo X and Li S (2026). An AI-supported E-mentoring model to develop EFL pre-service teachers' self-efficacy and emotional intelligence. Front. Psychol. 17:1853510. https://doi.org/10.3389/fpsyg.2026.1853510
Page metadata
| Field | Value |
|---|---|
type |
design |
id |
ai-supported-e-mentoring-model-ismael-2026 |
title |
AI-supported e-mentoring model integrating human mentoring with AI-driven support across engagement, analysis, feedback, and reflection cycles |
description |
The article proposes a dynamic, iterative e-mentoring system in which pre-service teachers generate inputs through learning activities, teaching practice, and reflective interaction; an AI system analyzes these inputs... |
status |
review |
generated |
by process:settle-candidates on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — ismael-i-2026 |
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