Complementing AI with Human Insight: How personality models like ComColors fill the gap in personalization where AI alone might fall short.
(Daniel Schoemans, Professor at UC Louvain, ilV)
As AI continues to shape the future of language education, it’s crucial to balance data-driven insights with a deep understanding of human behavior. This session introduces the ComColors model, which identifies six core personality types, offering educators a powerful lens to understand individual student motivation, stress responses, and communication styles. By integrating ComColors into language teaching—especially in tech-enhanced environments like language labs—educators can achieve more meaningful differentiation and inclusion. Explore how this human-centered approach complements AI tools to create truly personalized learning experiences.
