Evaluating Feedback Focus and Pedagogical Adaptivity in LLM-Generated Feedback on Student Writing

arXiv:2609.28026 · cs.CL, cs.AI · Submitted 2026-09-23 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• Adaptivity — 17× in this paper · explained in 1 episode
• Alignment — 14× in this paper · explained in 1 episode
• Accuracy — 10× in this paper · explained in 1 episode
• Benchmark — 5× in this paper · explained in 2 episodes
• Annotator Agreement — 4× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Commentary — 2× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 2× in this paper · explained in 3 episodes
• Adaptive Teaching — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Jensen-Shannon Divergence — 1× in this paper
• Knowledge of Correct Response — 1× in this paper
• Knowledge of Performance — 1× in this paper
• Knowledge of Result — 1× in this paper
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Metacognition — 1× in this paper · explained in 5 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes

Sources

• Grammatical Error Feedback: An Implicit Evaluation Approach
• FeedEval: Pedagogically Aligned Evaluation of LLM-Generated Essay Feedback
• Benchmarking Educational LLMs with Analytics: A Case Study on Gender Bias in Feedback
• Qwen2.5-Coder Technical Report
• Mistral 7B
• LLM Review: Enhancing Creative Writing via Blind Peer Review Feedback
• A Comparative Study of Student Perspectives on Technical Writing Feedback Quality: Evaluating LLMs, SLMs, and Humans in Computer Science Topics
• SEFORA: Student Essays with Feedback Corpus and LLM Feedback Evaluation Framework
• TeachLM: Post-Training LLMs for Education Using Authentic Learning Data
• Large Language Models for Data Annotation and Synthesis: A Survey
• Towards Adaptive Feedback with AI: Comparing the Feedback Quality of LLMs and Teachers on Experimentation Protocols
• LearnLM: Improving Gemini for Learning
• The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues
• Evaluation of ChatGPT Feedback on ELL Writers' Coherence and Cohesion

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