Using Topic Modeling in Gifted Education Research: Drawing Insights From Open-Ended Survey Responses

Despite the rich insights they offer, open-ended survey responses remain underutilized in educational research, often due to a lack of awareness of emergent methods that can efficiently analyze such data. This methodological brief addresses this gap by introducing the topic modeling technique, particularly the latent Dirichlet allocation, as a tool for analyzing open-ended responses and facilitating the investigation of relationships between textual responses and measurable outcomes. This brief outlines the rationale behind topic modeling and details the implementation process through the analysis of open-ended responses on students’ career interests as an example. In addition, we discuss the advantages and limitations of this technique and provide practical considerations for its application in educational research.

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Publication Details

Journal
Gifted Child Quarterly
Published
2025-11-21
DOI
https://doi.org/10.1177/00169862251378446
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
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article

Using Topic Modeling in Gifted Education Research: Drawing Insights From Open-Ended Survey Responses

Hernán Castillo-Hermosilla, David Arthur, Nielsen Pereira, Hua‐Hua Chang et al.
Gifted Child Quarterly
Computational and Text Analysis Methods
article

Using Topic Modeling in Gifted Education Research: Drawing Insights From Open-Ended Survey Responses

Hernán Castillo-Hermosilla, David Arthur, Nielsen Pereira, Hua‐Hua Chang, Yuxiao Zhang, Zafer Ozen
article en

Abstract

Despite the rich insights they offer, open-ended survey responses remain underutilized in educational research, often due to a lack of awareness of emergent methods that can efficiently analyze such data. This methodological brief addresses this gap by introducing the topic modeling technique, particularly the latent Dirichlet allocation, as a tool for analyzing open-ended responses and facilitating the investigation of relationships between textual responses and measurable outcomes. This brief outlines the rationale behind topic modeling and details the implementation process through the analysis of open-ended responses on students’ career interests as an example. In addition, we discuss the advantages and limitations of this technique and provide practical considerations for its application in educational research.

Gifted Child QuarterlyVol. 70(2)
Purdue University West Lafayette (US), University of Washington Tacoma (US)
Openalex Percentile: Top 54%
Computational and Text Analysis Methods
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