Minju Hong Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Assistant Professor

Last publication 2025 Last refreshed 2026-04-25

faculty

minjuh1215@cau.ac.kr

4 h-index 28 pubs 72 cited

Biography and Research Information

OverviewAI-generated summary

Minju Hong's research investigates the application of animal-assisted therapy (AAT) for children diagnosed with autism spectrum disorder (ASD). Her work explores how AAT can impact social behavior and emotional regulation in this population, with a specific focus on children with varying verbal abilities. Hong also utilizes advanced computational techniques, including machine learning and topic modeling, to analyze educational data. She has applied these methods to predict student performance in mathematics and science, assess scientific literacy, and enhance rubric development in science education. Her publications include a meta-analysis of professional development programs in science education and studies examining machine learning approaches for educational insights. Hong has collaborated with researchers at the University of Arkansas at Fayetteville and the Arkansas Agricultural Experiment Station on multiple projects.

Metrics

  • h-index: 4
  • Publications: 28
  • Citations: 72

Selected Publications

  • Predictive insights into U.S. students’ mathematics performance on PISA 2022 using ensemble tree-based machine learning models (2025)
    4 citations DOI OpenAlex
  • Unveiling effectiveness: A meta‐analysis of professional development programs in science education (2024)
    9 citations DOI OpenAlex
  • Application of Topic Modeling Techniques in Meta-analysis Studies (2024)
  • A comparisons of the covariate types in applications of SEMtree model to educational studies (2024)
  • Enhancing Rubric Development in Science Education through Topic Modeling Techniques (2024)
    2 citations DOI OpenAlex
  • Animal-assisted therapy in pediatric autism spectrum disorder (2024)
    4 citations DOI OpenAlex
  • Looking Beyond Disciplinary Silos: Revealing Students’ Interdisciplinary Understanding by Applying the Topic Modeling Technique (2024)
    2 citations DOI OpenAlex
  • Relationship between caregiver adverse childhood events and age of autism spectrum diagnosis (2023)
    1 citation DOI OpenAlex
  • Revealing Students' Interdisciplinary Understanding of Carbon Cycling Using the Topic Modeling Technique (2023)
  • Multilevel Reliabilities with Missing Data (2023)

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Collaboration Network

27 Collaborators 11 Institutions 2 Countries

Top Collaborators

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