A model trained only on the 300-conversation BEA dataset plateaus at 74.84% average macro F1 due to limited data size and diversity¶
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Evidence · 1 study · designr2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly
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q2 i? Training on only the 2,480 labeled responses from the BEA 2025 dataset produced a model that plateaued at an average macro F1 of 74.84%. → Tahmid Al Hannan 2026
Evidence¶
Tahmid Al Hannan 2026¶
Tahmid Al Hannan, Diego Garcia, Alex Njoroge, Suha Al Juboori, Tarek Sakakini. (2026). Knowledge Distillation for Automated AI Tutor Evaluation. https://arxiv.org/abs/2607.10647 doi:10.48550/arxiv.2607.10647
q2 · i? · design · r2
Initial training of FATE on the 300 BEA 2025 student-tutor conversations. The article attributes the plateau at "an average macro F1 score of 74.84%" to the dataset's limited size and diversity, motivating the distillation expansion.
"Although these conversations contained 2,480 AI tutor (AIT) and human tutor responses, the resulting model plateaued at an average macro F1 score of 74.84%, largely due to the dataset's limited size and diversity."
Discussion¶
Related Claims¶
- Knowledge distillation from a frontier LLM substantially improves lightweight AI-tutor evaluation across all four pedagogical dimensions — related
- EduBehaviors underperforms the fine-tuned RoBERTa encoder trained on expert-labeled TalkMoves data — related
- The framework offers a scalable alternative to manual curation, but the small dataset and label dependence limit current conclusions — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
small-labeled-data-plateaus-evaluator |
title |
A model trained only on the 300-conversation BEA dataset plateaus at 74.84% average macro F1 due to limited data size and diversity |
description |
A model trained only on the 300-conversation BEA dataset plateaus at 74.84% average macro F1 due to limited data size and diversity |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — tahmid-al-hannan-2026 |
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