An Integrative Framework for Action Research, Experiential Learning, and AI Advancements

Huay Ling Tay ()
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Huay Ling Tay: Singapore University of Social Sciences, Singapore

Research & Education, 2023, issue 9, 84-105

Abstract: The paper explores the synergistic integration of action research methodology and experiential learning in undergraduate logistics and supply chain management (LSCM) programs. We examine how this novel approach addresses the demands of the dynamic LSCM industry by combining theoretical knowledge with practical skills, enhancing critical thinking abilities, and real-world engagement. By examining case studies and extant literature, we illustrate how action research and experiential learning synergise to create a holistic educational experience. We present a comprehensive framework for integrating action research and experiential learning pedagogies that aims to empower students with the essential skills and adaptability to excel in the evolving world of LSCM. The study highlighted several critical elements for educators to implement this integrated approach successfully. Additionally, we explore the impacts of artificial intelligence (AI) on teaching and learning within this integrated framework. The potential benefits and concerns when adapting AI within this integrated framework include enabling personalised learning, data-driven insights, collaborative engagement, and ethical considerations.

Keywords: action research; experiential learning; logistics education; supply chain management; artificial intelligence (search for similar items in EconPapers)
JEL-codes: I21 I23 M11 O32 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:aai:journl:y:2023:i:9:p:84-105

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