John Hollander Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Arkansas State University
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Biography and Research Information
OverviewAI-generated summary
John Hollander's research focuses on the application of artificial intelligence and advanced computational methods to educational contexts, particularly in the domain of adult literacy. His work investigates how intelligent tutoring systems can be designed and optimized to improve learning outcomes. Hollander explores the use of large language models for predicting learning performance and enhancing educational data, including methods for data augmentation with generative AI. He also examines the influence of learner characteristics on the effectiveness of intelligent tutoring systems and their integration with assessment tools.
His publications include studies on extracting behavioral data like blinks from eye-tracking paradigms for understanding cognitive states during learning. Hollander also contributes to theoretical frameworks concerning literacy development and the transformative potential of AI in educational theory and practice. His scholarship metrics include an h-index of 15 and over 1,600 total citations across 142 publications.
Metrics
- h-index: 15
- Publications: 142
- Citations: 1,671
Selected Publications
- The role of parental psychological control in domain-specific self-esteem among Mexican adolescents. (2025) DOI
- Exploring the Potential of Large Language Models for Estimating the Reading Comprehension Question Difficulty (2025) DOI
- Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI (2025) DOI
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