Reimagining Teaching and Curriculum in the Age of AI: A Multi-Layer Stewardship Model for Management Education

Puri, S, Dubey, R ORCID: 0000-0002-3913-030X, Pandey, S and Saha, R Reimagining Teaching and Curriculum in the Age of AI: A Multi-Layer Stewardship Model for Management Education. Innovations in Education and Teaching International. ISSN 1470-3297 (Accepted)

Text Reimagining Teaching and Curriculum in the Age of AI_ A Multi-Layer Stewardship Model for Management Education.pdf - Accepted Version Access Restricted Available under License Creative Commons Attribution. Download (344kB)

Abstract

Generative AI is reshaping management education both as a classroom tool and a socio-technical actor that redistributes exposure, authority, and assessment across programs. Integrating Actor–Network Theory and Critical Pedagogy, we conceptualize AI stewardship as a multi-layer governance-and-pedagogy framework that coordinates design choices at the infrastructure (procurement, platform defaults, recommender objectives, data rights), classroom (auditable and dialogical use through task and assessment design), and program levels (coherence and exposure diversity across courses). We synthesize five testable propositions and advance a nested-layer stewardship model that translates key risks, including algorithmic monoculture, interface-driven authority, and hidden labor/data provenance, into actionable levers, including process-evidence assessment, diversity-aware recommenders, discrepancy reconciliations, and ethical procurement. The paper contributes an integrated ANT × Critical Pedagogy approach for evaluating stewardship mechanisms and designing AI-mediated learning environments where AI augments human judgment, pluralism, and accountability.

Item Type:	Article
Uncontrolled Keywords:	13 Education; Education; 39 Education
Subjects:	H Social Sciences > HF Commerce > HF5001 Business L Education > LB Theory and practice of education
Divisions:	Liverpool Business School
Publisher:	Taylor & Francis
Date of acceptance:	24 June 2026
Date Deposited:	29 Jun 2026 08:54
Last Modified:	29 Jun 2026 08:54
URI:	https://researchonline.ljmu.ac.uk/id/eprint/28896

View Item