mlsanityData to 14 Oct 2026

LearnLens: LLM-Enabled Personalised, Curriculum-Grounded Feedback with Educators in the Loop

arXiv 2507.04295 ↗First posted 6 Jul 2025cs.CY cs.AI cs.CLcited by 2

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Abstract (arXiv)

Effective feedback is essential for student learning but is time-intensive for teachers. We present LearnLens, a modular, LLM-based system that generates personalised, curriculum-aligned feedback in science education. LearnLens comprises three components: (1) an error-aware assessment module that captures nuanced reasoning errors; (2) a curriculum-grounded generation module that uses a structured, topic-linked memory chain rather than traditional similarity-based retrieval, improving relevance and reducing noise; and (3) an educator-in-the-loop interface for customisation and oversight. LearnLens addresses key challenges in existing systems, offering scalable, high-quality feedback that empowers both teachers and students.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 7 of its 19 references that are in the map. First posted on arXiv 6 Jul 2025.

Builds on

7 of 19 references.

References · 7

  1. 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,212
  2. 2024Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameterscited by 1,986
  3. 2023Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflectioncited by 1,839
  4. 2024Large Language Monkeys: Scaling Inference Compute with Repeated Samplingcited by 991
  5. 2024Self-Contrast: Better Reflection Through Inconsistent Solving Perspectivescited by 71
  6. 2025A Survey of Personalized Large Language Models: Progress and Future Directionscited by 71
  7. 2024Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoringcited by 8

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026CoLearn: An Agentic Tutor that Learns its Learner in a Human--AI Co-Learning Loopcited by 0
  2. 2026How Well Can LLMs Simulate Real Learner Evaluations of Educational Feedback?cited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education
  2. 2025Towards Adaptive Feedback with AI: Comparing the Feedback Quality of LLMs and Teachers on Experimentation Protocols
  3. 2025SEFL: A Framework for Generating Synthetic Educational Assignment Feedback with LLM Agents
  4. 2026An LLM -Powered Assessment Retrieval-Augmented Generation (RAG) For Higher Education
  5. 2026Investigating Learner-Aware Design of LLM-Generated Educational Feedback
  6. 2025Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation
  7. 2025CoTAL: Human-in-the-Loop Prompt Engineering for Generalizable Formative Assessment Scoring and Feedback
  8. 2025Dean of LLM Tutors: A Framework for Automated Quality Review of AI-generated Feedback