Ken Jen Lee

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About

Ken Jen Lee investigates the intersection of artificial intelligence, human-computer interaction, and collaborative learning, with a focus on how intelligent agents can enhance educational experiences. His major contributions center on designing adaptive systems that support learning by teaching, a pedagogical approach where students reinforce their understanding by instructing others. In his most cited work, "Curiosity Notebook: The Design of a Research Platform for Learning by Teaching" (25 citations), Lee developed a web-based infrastructure that enables systematic study of this complex learning phenomenon, addressing challenges posed by variable tutor-tutee pairings and environments. His paper "Effects of an Adaptive Robot Encouraging Teamwork on Students’ Learning" (14 citations) introduces a teachable robot that dynamically adjusts its encouragement based on students' talking activity, fostering productive discussion and collaboration during tutoring sessions. This work demonstrates Lee's innovative approach to leveraging adaptive technology to scaffold teamwork and deepen learning outcomes. Through these contributions, Lee has advanced our understanding of how intelligent systems can be designed to facilitate peer teaching and collaborative problem-solving, offering practical tools and insights for educators and researchers alike.