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Structural topic modeling (STM) for educational research

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Description

The article applies a structural topic model (STM) to the abstracts and titles of 2,568 metacognition articles, running 26 candidate models with topic numbers from 5 to 30 and selecting the 19-topic model based on semantic coherence, exclusivity (FREX), and expert verification. The 19 labeled topics include "self-regulated learning", "judgments of learning and memory accuracy", "assessment and feedback", "creative and critical thinking", and "nursing, medical, clinical, and healthcare education". The article states this "marks the inaugural application of topic modeling technology to the field of metacognition". Topics were labeled by two domain experts through a three-step procedure of interpreting discriminating terms, examining representative articles, and unifying labels.

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  • 19-topic structural topic model of metacognition research in education: The article applies a structural topic model (STM) to the abstracts and titles of 2,568 metacognition articles, running 26 candidate models with topic numbers from 5 to 30 and selecting the 19-topic model based on semantic coherence, exclusivity (FREX), and expert verification. The 19 labeled topics include "self-regulated learning", "judgments of learning and memory accuracy", "assessment and feedback", "creative and critical thinking", and "nursing, medical, clinical, and healthcare education". The article states this "marks the inaugural application of topic modeling technology to the field of metacognition". Topics were labeled by two domain experts through a three-step procedure of interpreting discriminating terms, examining representative articles, and unifying labels. (Xieling Chen et al. (2025))

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Key Sources

  • Xieling Chen, Xinyue Li, Di Zou, Haoran Xie, & Fu Lee Wang. (2025). Metacognition research in education: topic modeling and bibliometrics. Education Tech Research Dev. https://doi.org/10.1007/s11423-025-10451-8
Page metadata
Field Value
type research-method
id structural-topic-modeling-stm-for-educational-research
title Structural topic modeling (STM) for educational research
description The article applies a structural topic model (STM) to the abstracts and titles of 2,568 metacognition articles, running 26 candidate models with topic numbers from 5 to 30 and selecting the 19-topic model based on semantic coherence, exclusivity (FREX), and expert verification.
status review
generated by process:settle-candidates on 2026-10-28
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