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Leveraging Phenomenon-Based Learning (PhBL) for Teaching AI Skills to Students
Abstract
The ability to understand and work with AI technologies is essential for students to succeed in the 21st century. Traditional methods of teaching AI often focus on isolated technical concepts but fail to provide the interdisciplinary and applied understanding that students need to grasp the full potential and implications of AI. Phenomenon-Based Learning (PhBL) offers an innovative approach to address this gap by making AI education more accessible, engaging, and context-driven. The article begins with discussions of why AI teaching is important in today's study, followed by traditional approaches of teaching AI and their limitations. It then describes PhBL and proposes a framework for AI education based on PhBL. Following a discussion of the underpinning theory and presentation of the framework, a case study is discussed. The article includes ways that the framework could be used to facilitate collaboration between HE and workplaces to promote the requisite skills development.
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