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This lecture explores the field of Human-Robot Interaction (HRI) focusing on designing robotic systems for human use. It delves into the challenges of inferring student engagement in real-time and the impact of social robot behavior on learning outcomes. The lecture discusses the concept of productive engagement and the use of multimodal data to enhance learning analytics. It also examines the relationship between engagement, learning, and performance, emphasizing the importance of goal-centric educational robots. The presentation concludes by proposing methodologies to assess engagement using temporal multi-modal behavioral data and the potential of machine learning techniques in educational HRI.