A framework for human-AI collaborative mentoring to develop interns' management skills: mentoring-enabled experiential learning theory
Year: 2026
Type: article
Abstract: Human-AI collaborative mentoring holds great potential to enhance interns' cyclical experiential learning in dynamic workplace environments. This study extends experiential learning theory by integrating key mentoring strategies, thereby establishing Mentoring-Enabled Experiential Learning Theory (MEELT). Building on MEELT, a theoretical framework is proposed to support interns' nuanced five-stage learning process and to foster effective workplace learning outcomes. Furthermore, the framework incorporates the moderating roles of cognitive resources and openness to experience. The study concludes by outlining key theoretical and practical implications and proposing an important agenda for future research.
Authors: Chieh-Peng Lin, Pei-Chun Chen, Chu-Mei Liu
Institutions: National Yang Ming Chiao Tung University, Tamkang University
Language: English
Subfield: Human Factors and Ergonomics
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W7133978038