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Learnlens: Llm-Enabled Personalised, Curriculum-Grounded Feedback With Educators In The Loop

Authors
Runcong Zhao,
Artem Bobrov,
Jiazheng Li,
Cesare Aloisi,
Yulan He
Date
Publisher
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.
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