Artificial Intelligence-Enhanced Work-Integrated Learning in Chemistry Education: Bridging Laboratory Theory and Professional Practice
DOI:
https://doi.org/10.38140/obp5-2026-06Keywords:
Artificial intelligence, chemistry education, experiential learning, laboratory innovation, work-integrated learningAbstract
The integration of artificial intelligence (AI) into higher education is transforming the design and delivery of Work-Integrated Learning (WIL), especially in laboratory-based disciplines such as chemistry. This chapter examines how AI-enhanced WIL can connect theoretical chemistry knowledge with authentic professional experiences, fostering innovation, inclusivity, and skill development in the digital age. Drawing on constructivist and experiential learning theories, the chapter conceptualises AI as both a learning partner and a catalyst for professional competence. It investigates recent advancements in AI-supported feedback, adaptive mentoring, and virtual laboratory simulations to propose a framework for integrating AI-driven tools into chemistry WIL contexts. The chapter illustrates how AI-enabled platforms can facilitate reflective observation, provide real-time feedback, automate assessments, and ensure equitable access to laboratory experiences, all while aligning with emerging principles of authentic assessment and ethical AI use to maintain a human-centred and contextually relevant learning approach. By merging conceptual analysis with a practical implementation model, the chapter underscores the transformative potential of AI in enhancing student readiness, collaboration, and problem-solving within chemistry education. It concludes with recommendations for higher education institutions and industry partners to develop sustainable AI-mediated WIL systems that strengthen laboratory practice, improve employability, and promote inclusive participation in science education across diverse contexts.
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