In A. Nguyen & L. Huynh (Eds.), Proceedings of the 15th International Learning Analytics & Knowledge Conference (LAK25): Workshop on Hybrid Intelligence: Human-AI Collaboration and Learning. Society for Learning Analytics Research (SoLAR).
ABSTRACT: This paper explores the role of generative AI (GenAI) in providing adaptive summative feedback within an embodied learning environment for children’s mathematics education. Using a body-scale digital number line, children engaged in learning integer operations through physical interaction. The study employed a between- group design: one group received feedback from a human instructor, while the other received AI-generated feedback. A mixed-method approach combined multimodal data (system logs, motion sensors) with qualitative observations of student interactions. The results showed no significant differences in task performance but revealed key differences in engagement: the teacher feedback encouraged multimodal, reflective responses involving gestures and body movements, while the AI feedback promoted streamlined, task-specific strategies with reduced cognitive load. These findings demonstrate the complementary strengths of human and AI feedback, underscoring the potential of hybrid intelligence systems to enhance adaptive learning environments.
Keywords: Hybrid intelligence, Generative AI, Teacher-AI collaboration, Summative feedback, Embodied learning.