🏷️ Concept
Experiential Learning
Experiential learning — learning through direct experience, reflection, and the application of knowledge in authentic or hands-on contexts ("learning by doing"). Drawing on Kolb's experiential learning cycle (concrete experience, reflective observation, abstract conceptualization, active experimentation), experiential approaches emphasize that learners learn most deeply when they act, observe the results, and reflect. In AI education, experiential learning includes hands-on labs, project-based work, robotics, simulations, and real-world problem solving.
Experiential learning is closely related to Active Learning, Project Based Learning, Embodied Learning, and Simulation. It is particularly relevant to AI, cybersecurity, and robotics education, where students develop skills by working with tools and systems in applied contexts rather than through lectures alone. A key rationale is closing the theory-practice gap in professional preparation.
How experiential learning appears in the wiki's research
Experiential learning connects to Active Learning, Project Based Learning, Embodied Learning, Simulation, Educational Robotics, and Higher Ed professional preparation.