John Hollander
Ph.D. Candidate
Experimental Psychology
I am a doctoral candidate at the University of Memphis, where I study language processing, semantics, and literacy skills with Dr. Andrew Olney in the Department of Psychology and Dr. John Sabatini at the Institute for Intelligent Systems.
Research interests
+ Embodied cognition and language processing
+ Semantic representation
+ Reading and literacy skills
+ Educational technology
+ Eye- and mouse-tracking methods
Hollander, J., Sabatini, J., Graesser, A., Greenberg, D., O'Reilly, T., Frijters, J. (2023). Importance of learner characteristics in intelligent tutoring for adult literacy. Discourse Processes, 60(4-5), 397-409. [pdf]
Hollander, J., & Dark-Freudeman, A. (2023). Psycholinguistic, Stroop, and self-report measurements of death anxiety: A study of convergent validity. Death Studies, 47(10), 1075-1081. [pdf]
Hollander, J., & Huette, S. (2022). Extracting blinks from continuous eye-tracking data in a mind wandering paradigm. Consciousness and Cognition, 100, 103303. [pdf]
Hollander, J., Sabatini, J., & Graesser, A. (2022). How Item and Learner Characteristics Matter in Intelligent Tutoring Systems Data. In International Conference on Artificial Intelligence in Education (pp. 520-523). Springer. [pdf]
Sabatini, J., Graesser, A., Hollander, J., & O’Reilly, T. (2023). A framework of literacy development and how AI can transform theory and practice. British Journal of Educational Technology, 54(5), 1174-1203. [pdf]
Collaborators
A network visualization of my published co-authorships.
Line width corresponds to the number of co-authorships.
(This plot was made with a program that crawls my Google Scholar page, so its scope and accuracy may be limited).
Teaching
Research Methods and Statistics I | PSYC 3010
Instructor of Record - Fall '22, Spring '23
This course provided students with a comprehensive introduction to fundamental research methodologies, statistical techniques, and ethical considerations in psychological research. Emphasized hands-on learning through practical applications, including experimental design, data collection, and statistical analysis using software such as SPSS.