From Sentiment Classification to Actionable and Responsible Feedback: A Scoping Review and Evidence Map of NLP in Student Evaluation of Teaching, 2015-2026

arXiv:2609.27939 · cs.CL, cs.LG · Submitted 2026-08-23 · Read on arXiv

cs.CL, cs.LG

Submitted: 2026-08-23

Updated: 2026-08-23

Code: https://github.com/rafa-rodriguess/LT_NLP_

Terminology

• Actionability — 61× in this paper · explained in 3 episodes
• Transformer — 38× in this paper · explained in 2 episodes
• Accuracy — 26× in this paper · explained in 1 episode
• Student Evaluation of Teaching — 26× in this paper
• Generative AI — 22× in this paper · explained in 2 episodes
• Grounding — 13× in this paper · explained in 3 episodes
• External Validation — 12× in this paper · explained in 2 episodes
• Explainability — 9× in this paper · explained in 3 episodes
• Robustness — 9× in this paper · explained in 5 episodes
• Consistency — 8× in this paper · explained in 3 episodes
• Provenance — 8× in this paper · explained in 3 episodes
• Annotator Agreement — 6× in this paper · explained in 1 episode
• LLM judge — 6× in this paper · explained in 2 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Interpretability — 5× in this paper · explained in 15 episodes
• Accountability — 4× in this paper · explained in 2 episodes
• Clustering — 4× in this paper · explained in 2 episodes
• Methodological Rigor — 4× in this paper · explained in 2 episodes
• Selection Bias — 4× in this paper · explained in 4 episodes
• Aggregation — 3× in this paper · explained in 1 episode
• Core — 3× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Generalization — 2× in this paper · explained in 13 episodes
• Hallucination — 2× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Active Learning — 1× in this paper · explained in 6 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Algorithmic Bias — 1× in this paper · explained in 1 episode
• Decision-Support Tool — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Ensemble Learning — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Who Annotates in NLP? A Large-scale Assessment of Human Annotation Reporting between 2018 and 2025
• Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering