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NCTE Transcript dataset

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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 publicly available dataset of U.S. fourth- and fifth-grade elementary mathematics classroom transcripts aligned with 7.5-minute segments and linked to Mathematical Quality of Instruction observation scores.

Components

  • NCTE Transcript dataset of elementary mathematics classrooms linked with MQI observation scores: The NCTE dataset is described as "the largest publicly available dataset of U.S. classroom transcripts linked with classroom observation scores." It consists of 1,660 fourth- and fifth-grade elementary mathematics observations collected between 2010-2013 from 317 teachers across 4 school districts serving largely historically marginalized students. The authors aligned whole-class transcripts with 7.5-minute MQI observation segments, yielding 9,886 segments each rated on 11 MQI variables across four dimensions of math instruction quality. (Paiheng Xu et al. (2024))
  • NCTE Main Study dataset of classroom observations with expert ratings and value-added measures: The National Center for Teacher Effectiveness (NCTE) Main Study dataset provides the study's core data. The article states it "comprises ob- servations of roughly 350 4th and 5th-grade math- ematics teachers across four U.S. school districts." It is described as one of only two educational datasets containing measures of teaching practice, authentic classroom artifacts, and student learning outcomes at scale (VAMs). The study used anonymized transcripts of video-recorded lessons from its test set, rated by 63 MQI raters and 19 CLASS raters with rigorous certification and continual calibration. (Michael Hardy (2026))

Claims

Key Sources

  • Paiheng Xu, Jing Liu, Nathan Jones, Julie Cohen, and Wei Ai. (2024). The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). https://aclanthology.org/volumes/2024.naacl-long/
Page metadata
Field Value
type product
id ncte-transcript-dataset
title NCTE Transcript dataset
description A publicly available dataset of U.S.
status review
moved_from element/ncte-transcript-dataset-mqi
product_kind dataset
generated by process:sweep-kinds on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — paiheng-xu-2024

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