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TutorUp: What If Your Students Were Simulated? Training Tutors to Address Engagement Challenges in Online Learning

arXiv 2502.16178 ↗First posted 22 Feb 2025cs.HCcited by 11

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Abstract (arXiv)

With the rise of online learning, many novice tutors lack experience engaging students remotely. We introduce TutorUp, a Large Language Model (LLM)-based system that enables novice tutors to practice engagement strategies with simulated students through scenario-based training. Based on a formative study involving two surveys (N1=86, N2=102) on student engagement challenges, we summarize scenarios that mimic real teaching situations. To enhance immersion and realism, we employ a prompting strategy that simulates dynamic online learning dialogues. TutorUp provides immediate and asynchronous feedback by referencing tutor-students online session dialogues and evidence-based teaching strategies from learning science literature. In a within-subject evaluation (N=16), participants rated TutorUp significantly higher than a baseline system without simulation capabilities regarding effectiveness and usability. Our findings suggest that TutorUp provides novice tutors with more effective training to learn and apply teaching strategies to address online student engagement challenges.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Feb 2025.

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Citing papers per year: 2025: 2; 2026: 9.

11 papers.