Esteban U. Vega Barajas (2026) — arXiv preprint.
Extends a prior validated protocol for classifying open-ended teaching-evaluation feedback by thematic category and sentiment, introducing a durability and cross-language transfer benchmark. Institutions collect far more teaching feedback than they read; automated classification makes it actionable.
Sits at the intersection of feedback-loop, automated-grading, and teacher-role support in higher-ed. It relates to formative-assessment and the ai-feedback-quality stub, providing a reusable benchmark for scaling educator feedback analysis and connecting to faculty-development-genai.
Related Pages
- feedback-loop — Teaching feedback analysis
- automated-grading — Automated classification
- teacher-role — Teacher evaluation support
- formative-assessment — Formative feedback
- higher-ed — Higher-ed institutions
- ai-feedback-quality — Feedback quality benchmarking