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The Role of AI in Experiential Learning: Balancing Ethics and Expertise
Abstract
This work demonstrates that AI offers significant potential for personalizing learning pathways, providing immediate feedback, and increasing educational access. Its effective implementation requires maintaining the irreplaceable human elements of teaching, establishing robust ethical frameworks Integrating Kolb's experiential learning theory with AI and human teachers creates a dynamic educational environment where students engage in hands-on activities, reflect on their experiences, form abstract concepts, and test these concepts in new situations. AI enhances the process by providing personalized learning experiences and immediate feedback, supporting reflective observation with active experimentation. Human teachers complement AI by offering emotional support, mentorship, and imbibing critical thinking, guiding students through reflective observation and encouraging deeper insights. However, ethical considerations are crucial in this integration, ensuring AI systems are fair, protecting privacy, maintaining accountability, prioritizing transparency, and well-being of learners.
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