Minju Hong Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
faculty
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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
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Predictive insights into U.S. students’ mathematics performance on PISA 2022 using ensemble tree-based machine learning models (2025)
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Unveiling effectiveness: A meta‐analysis of professional development programs in science education (2024)
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Application of Topic Modeling Techniques in Meta-analysis Studies (2024)
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A comparisons of the covariate types in applications of SEMtree model to educational studies (2024)
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Enhancing Rubric Development in Science Education through Topic Modeling Techniques (2024)
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Animal-assisted therapy in pediatric autism spectrum disorder (2024)
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Looking Beyond Disciplinary Silos: Revealing Students’ Interdisciplinary Understanding by Applying the Topic Modeling Technique (2024)
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Relationship between caregiver adverse childhood events and age of autism spectrum diagnosis (2023)
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Revealing Students' Interdisciplinary Understanding of Carbon Cycling Using the Topic Modeling Technique (2023)
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Multilevel Reliabilities with Missing Data (2023)
Collaboration Network
Top Collaborators
- Unveiling effectiveness: A meta‐analysis of professional development programs in science education
- Predictive insights into U.S. students’ mathematics performance on PISA 2022 using ensemble tree-based machine learning models
- Looking Beyond Disciplinary Silos: Revealing Students’ Interdisciplinary Understanding by Applying the Topic Modeling Technique
- Enhancing Rubric Development in Science Education through Topic Modeling Techniques
- Machine Learning Approaches for Predicting U.S. Students’ Scientific Literacy: An Analysis of Key Factors Across Performance Levels and Socioeconomic Statuses
Showing 5 of 7 shared publications
- Animal-assisted therapy in pediatric autism spectrum disorder
- The effect of Animal-assisted therapy on prosocial behavior and emotional regulation in autistic children with varying verbal abilities: A pilot study
- Relationship between caregiver adverse childhood events and age of autism spectrum diagnosis
- Caregiver Mental Health Predictors of Age of Evaluation for Autism Spectrum Disorder
- Predictive insights into U.S. students’ mathematics performance on PISA 2022 using ensemble tree-based machine learning models
- Machine Learning Approaches for Predicting U.S. Students’ Scientific Literacy: An Analysis of Key Factors Across Performance Levels and Socioeconomic Statuses
- Corrigendum to “Predictive Insights into U.S. Students’ Mathematics Performance on PISA 2022 Using Ensemble Tree-Based Machine Learning Models” [International Journal of Educational Research 130 (2025) 102537]
- Formulas of Multilevel Reliabilities for Tests with Ordered Categorical Responses
- Multilevel Reliabilities with Missing Data
- Comparison of Estimation Algorithms for Latent Dirichlet Allocation
- Two-Step Approach to Topic Modeling to Incorporate Covariate and Outcome
- Comparison of Estimation Algorithms for Latent Dirichlet Allocation
- Two-Step Approach to Topic Modeling to Incorporate Covariate and Outcome
- Comparison of Estimation Algorithms for Latent Dirichlet Allocation
- Two-Step Approach to Topic Modeling to Incorporate Covariate and Outcome
- Exploring the transition of self-determination motivation and influencing factors of adolescents in transition using latent transition analysis and random forest
- A Longitudinal Analysis of Adolescent School Adjustment and Exploration of Influencing Factors Using the SEM Tree
- Relationship between caregiver adverse childhood events and age of autism spectrum diagnosis
- Caregiver Mental Health Predictors of Age of Evaluation for Autism Spectrum Disorder
- Animal-assisted therapy in pediatric autism spectrum disorder
- The effect of Animal-assisted therapy on prosocial behavior and emotional regulation in autistic children with varying verbal abilities: A pilot study
- Animal-assisted therapy in pediatric autism spectrum disorder
- The effect of Animal-assisted therapy on prosocial behavior and emotional regulation in autistic children with varying verbal abilities: A pilot study
- Animal-assisted therapy in pediatric autism spectrum disorder
- The effect of Animal-assisted therapy on prosocial behavior and emotional regulation in autistic children with varying verbal abilities: A pilot study
- Animal-assisted therapy in pediatric autism spectrum disorder
- The effect of Animal-assisted therapy on prosocial behavior and emotional regulation in autistic children with varying verbal abilities: A pilot study
- Unveiling effectiveness: A meta‐analysis of professional development programs in science education
- Application of Topic Modeling Techniques in Meta-analysis Studies
- Predictive insights into U.S. students’ mathematics performance on PISA 2022 using ensemble tree-based machine learning models
- Corrigendum to “Predictive Insights into U.S. Students’ Mathematics Performance on PISA 2022 Using Ensemble Tree-Based Machine Learning Models” [International Journal of Educational Research 130 (2025) 102537]
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