🔗 Who cites «Automated Personalized Feedback Improves Learning Gains in An Intelligent Tutoring System»

9 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «Automated Personalized Feedback Improves Learning Gains in An Intelligent Tutoring System»

1. Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedbackarXiv:2303.05453Hannah Rose Kirk, Bertie Vidgen, Paul Rottger, et al.2023 · 57 citations
2. Improving the Validity of Automatically Generated Feedback via Reinforcement LearningLecture notes in computer scienceAlexander Scarlatos, Digory Smith, Simon Woodhead, et al.2024 · 47 citations
3. Automated distractor and feedback generation for math multiple-choice questions via in-context learningMcNichols2023 · 14 citations
4. Confirming Correct, Missing the Rest: LLM Tutoring Agents Struggle Where Feedback Matters MostWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Tahreem Yasir, Wenbo Li, Sam Gilson, et al.2026

5 more papers of our library cite it; they have no page here yet.

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