John Hollander
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Also affiliated: James Madison University (2020); Universities UK (1981); Yale University (1981–2008); Hunter College (1971); University of Memphis (2020–2024)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
John Hollander's research investigates the intersection of cognitive processes, artificial intelligence, and educational applications, with a particular focus on adult literacy. His work explores how technology, including large language models and intelligent tutoring systems, can be leveraged to enhance learning performance and develop literacy skills in digital environments. Hollander has published on topics such as predicting learning outcomes using AI, the importance of learner characteristics in educational systems, and integrating assessment with reading comprehension training. He also studies the extraction of data from eye-tracking technology within cognitive paradigms, such as mind wandering. Hollander's scholarly contributions are reflected in an h-index of 15 and over 1,600 citations across 142 publications.
Metrics
- h-index: 15
- Publications: 142
- Citations: 1,703
Selected Publications
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Religiosity and Sexual Intentions Among Mexican Catholic Adolescents: The Mediating Role of Values (2026)
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Evaluating sensorimotor knowledge in large language models (2025)
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The role of parental psychological control in domain-specific self-esteem among Mexican adolescents. (2025)
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Exploring the Potential of Large Language Models for Estimating the Reading Comprehension Question Difficulty (2025)
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Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI (2025)
Collaboration Network
Top Collaborators
- Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI
- Exploring the Potential of Large Language Models for Estimating the Reading Comprehension Question Difficulty
- Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI
- Exploring the Potential of Large Language Models for Estimating the Reading Comprehension Question Difficulty
- The role of parental psychological control in domain-specific self-esteem among Mexican adolescents.
- Religiosity and Sexual Intentions Among Mexican Catholic Adolescents: The Mediating Role of Values
- Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI
- Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI
- Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI
- Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI
- Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI
- Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI
- Exploring the Potential of Large Language Models for Estimating the Reading Comprehension Question Difficulty
- Exploring the Potential of Large Language Models for Estimating the Reading Comprehension Question Difficulty
- Exploring the Potential of Large Language Models for Estimating the Reading Comprehension Question Difficulty
- The role of parental psychological control in domain-specific self-esteem among Mexican adolescents.
- The role of parental psychological control in domain-specific self-esteem among Mexican adolescents.
- Religiosity and Sexual Intentions Among Mexican Catholic Adolescents: The Mediating Role of Values
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