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TeacherEval-2023

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Evidence · 1 claim (1 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

A public corpus of 12,450 classroom-dialogue transcripts annotated with rubric-aligned teacher-performance scores and expert explanations across eight pedagogical dimensions, created by Li et al.

Components

  • TeacherEval-2023 dataset of 12,450 rubric-annotated classroom dialog transcripts: TeacherEval-2023 is a public corpus used as the primary evaluation dataset: it comprises "12,450 classroom dialog transcripts annotated with rubric-aligned teacher performance scores and expert explanations across eight pedagogical dimensions", covering mathematics, language arts, and science across multiple grade levels. The article splits it 70/15/15 into train/validation/test with stratification across subjects and grade levels, and projects all datasets onto a unified eight-dimension framework spanning learning objectives clarity through subject-specific practices. (Li et al. (2025))

Claims

Key Sources

  • Li, Y.; Yang, H.; Fang, Q. (2025). Towards Trustworthy and Explainable-by-Design Large Language Models for Automated Teacher Assessment. Information 2025, 16, 882. https://doi.org/10.3390/info16100882
Page metadata
Field Value
type product
id teachereval-2023
title TeacherEval-2023
description A public corpus of 12,450 classroom-dialogue transcripts annotated with rubric-aligned teacher-performance scores and expert explanations across eight pedagogical dimensions, created by Li et al.
status review
product_kind dataset
generated by process:settle-candidates on 2026-10-12
trust unverified — no one has confirmed this page's content

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