A situated experiential learning framework for human-AI collaborative mentoring of interns in learning management practices

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Authors: Chieh-Peng Lin, Pei‐Chun Chen, Hui-Ting Chan
Cited by: 3
References: 54

Abstract

Human-AI collaborative mentoring has significant potential to improve interns’ experiential learning in diverse management situations by harnessing the expertise of human mentors and the advancements in AI. This study expands on theories of situated learning and experiential learning by developing Situated Experiential Learning Theory (SELT) and proposing a theoretical framework of the collaborative mentoring based on SELT. This framework aims to facilitate the interns’ learning process and ultimately foster desired learning outcomes. The conclusion highlights key implications and offers a future research agenda.

Fields of Study & Subjects

Mentoring and Academic Development Educational Leadership and Innovation Coaching Methods and Impact

Publication details

Journal / source
Interactive Learning Environments
Publisher
Informa UK Limited
Pages
1–14
Publication date
5 February 2026
Language
EN