Andrew M. Olney

University of Memphis — United States

Computer Science · Physical Sciences

28h-index4.0kcitations153works0.32yr avg
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Research Topics

Intelligent Tutoring Systems and Adaptive Learning(60), Topic Modeling(34), Innovative Teaching and Learning Methods(34), Natural Language Processing Techniques(28), Speech and dialogue systems(28)

Publications153 total

Dataset Personalization Methods based on LLMs for Data Science Education: A Comparative Study of Rescaling and Sampling Approaches
2025
Efficacy of a Computer Tutor that Models Expert Human Tutors
arXiv (Cornell University)·2025Open Access
Efficacy of a Computer Tutor that Models Expert Human Tutors
Lecture notes in computer science·2025
Learning by Correcting AI Errors: Effort is Essential
Lecture notes in computer science·2025
Can LLMs Identify Gaps and Misconceptions in Students' Code Explanations?
arXiv (Cornell University)·2024Open Access
Raising the Roof: Situating Verbs in Symbolic and Embodied Language Processing
Cognitive Science·2024· 1 citedOpen Access
Visual Data Science with Blockly-DS
2024· 1 cited
Editorial Acknowledgment
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Deeper learning through interactions with students in natural language
Edward Elgar Publishing eBooks·2023· 3 cited
Generating Multiple Choice Questions with a Multi-Angle Question Answering Model
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Computational Thinking through Modular Sound Synthesis
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Exploring the Relationship Between Usability and Cognitive Load in Data Science Education
2023Open Access
Scaffolding Computational Thinking Through Block Coding: A Learner Experience Design Study
Technology Knowledge and Learning·2022· 13 cited
Computational Thinking in Education: Past and Present
TechTrends·2022· 3 cited
Online Tutoring System (MoFaCTS) for Anatomy and Physiology: Implementation and Initial Impressions
HAPS Educator·2022
Using community-based problems to increase motivation in a data science virtual internship
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Editorial Acknowledgment
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Assessing Readability by Filling Cloze Items with Transformers
Lecture notes in computer science·2022· 4 cited
Datawhys Phase 1: Problem Solving to Facilitate Data Science & STEM Learning Among Summer Interns
International Journal of Designs for Learning·2021Open Access
Preface to the Special Issue on Creating and Improving Adaptive Learning: Smart Authoring Tools and Processes
International Journal of Artificial Intelligence in Education·2021· 11 citedOpen Access
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Frequent Co-authors

Arthur C. Graesser(20), Sidney K. D’Mello(20), Sean Kelly(10), Martin Nystrand(9), Borhan Samei(8), Nathaniel Blanchard(8), Xiaoyi Sun(7), Max M. Louwerse(6), Xiangen Hu(6), Zhiqiang Cai(6), G. Tanner Jackson(5), Kurt VanLehn(5), Natalie K. Person(5), Brooke Ward(5), Pamela Jordan(4), Claire Williams(4), Patrick Donnelly(4), Art Graesser(4), Carolyn Penstein Rosé(3), Patrick Hays(3)