
Xiaoyan Li, Ph.D.
Associate Professor,
Center for the Promotion of Interdisciplinary Education and Innovation,
Kyushu University, Japan
Teaching Beyond Words: Implicit Knowledge, AI, and Cultural Learning
In today’s rapidly evolving educational landscape, what remains most powerful often lies beneath the surface. This lecture explores how culture and learning are deeply shaped by “implicit knowledge” — values, expectations, and behaviors that are rarely taught directly but internalized through experience. Japanese school culture, for example, can be likened to an iceberg: while printed handouts and formal communication form the visible tip, a vast invisible base holds unspoken norms such as group orientation, egalitarianism, and silent discipline. Drawing on knowledge science, intercultural education, and real-life examples of international students and foreign guardians in Japan, the lecture reflects on how language both reveals and conceals culture. Special attention is given to PAPAMAMA-TOMO, an AI chatbot designed to support non-Japanese-speaking guardians in navigating Japanese school life. The chatbot bridges linguistic and cultural gaps and fosters smoother adaptation by allowing interactive, culturally sensitive questioning. Ultimately, this session invites educators to rethink the role of technology not as a substitute, but as a companion in teaching what words alone cannot express. In a multicultural, multilingual world, how might we ensure that both AI and educators work hand-in-hand to reveal and transmit the invisible fabric of culture?