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Gerd Kortemeyer

Predicting student performance: an application of data mining methods with an educational web-based system
2004 · B. Minaei-Bidgoli, D.A. Kashy, et al. · 2022 IEEE Frontiers in Education Conference (FIE) · 333
Could an artificial-intelligence agent pass an introductory physics course?
2023 · Gerd Kortemeyer · Physical Review Physics Education Research · 175
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Model-Based Collaborative Filtering Analysis of Student Response Data: Machine-Learning Item Response Theory
2012 · Yoav Bergner, Stefan Dröschler, et al. · Educational Data Mining · 85
Predicting Student Performance: an Application of Data Mining Methods With the Educational Web-based System Lon-capa
2003 · Behrouz Minaei-Bidgoli‬, Deborah A. Kashy, et al. · 80
Experiences using the open-source learning content management and assessment system LON-CAPA in introductory physics courses
2008 · Gerd Kortemeyer, Edwin Kashy, et al. · American Journal of Physics · 72
Performance of the pre-trained large language model GPT-4 on automated short answer grading
2024 · Gerd Kortemeyer · Discover Artificial Intelligence · 59
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Toward AI grading of student problem solutions in introductory physics: A feasibility study
2023 · Gerd Kortemeyer · Physical Review Physics Education Research · 57
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Gender differences in the use of an online homework system in an introductory physics course
2009 · Gerd Kortemeyer · Physical Review Special Topics - Physics Education Research · 56
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Correlations between student discussion behavior, attitudes, and learning
2007 · Gerd Kortemeyer · Physical Review Special Topics - Physics Education Research · 50
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An empirical study of the effect of granting multiple tries for online homework
2015 · Gerd Kortemeyer · American Journal of Physics · 49
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The Challenge of Teaching Introductory Physics to Premedical Students
2007 · Gerd Kortemeyer · The Physics Teacher · 49
An analysis of asynchronous online homework discussions in introductory physics courses
2006 · Gerd Kortemeyer · American Journal of Physics · 43
Attending lectures in person, hybrid or online—how do students choose, and what about the outcome?
2023 · Gerd Kortemeyer, Nora Dittmann-Domenichini, et al. · International Journal of Educational Technology in Higher Education · 42
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A survey on students’ use of AI at a technical university
2024 · Fadoua Balabdaoui, Nora Dittmann-Domenichini, et al. · Discover Education · 41
Causality violations in cascade models of nuclear collisions
1995 · G. Kortemeyer, W. Bauer, et al. · Physical Review C · 37
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Grading assistance for a handwritten thermodynamics exam using artificial intelligence: An exploratory study
2024 · Gerd Kortemeyer, Julian Nöhl, et al. · Physical Review Physics Education Research · 36
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Optimizing Classification Ensembles via a Genetic Algorithm for a Web-Based Educational System
2004 · Behrouz Minaei-Bidgoli, Gerd Kortemeyer, et al. · Lecture notes in computer science · 36
Visualizing relativity: The OpenRelativity project
2016 · Zachary W. Sherin, Ryan Cheu, et al. · American Journal of Physics · 33
Virial Corrections to Simulations of Heavy Ion Reactions
1999 · Klaus Morawetz, Václav Špic̆ka, et al. · Physical Review Letters · 33
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Nuclear flow in consistent Boltzmann algorithm models
1996 · G. Kortemeyer, F. Daffin, et al. · Physics Letters B · 30
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Want to Reduce Guessing and Cheating While Making Students Happier? Give More Exams!
2012 · James T. Laverty, Wolfgang Bauer, et al. · The Physics Teacher · 29
Revisiting the Geoscience Concept Inventory: A call to the community
2011 · J.C. Libarkin, E.M.G. Ward, et al. · GSA Today · 27
Multilingual performance of a multimodal artificial intelligence system on multisubject physics concept inventories
2025 · Gerd Kortemeyer, Marina Babayeva, et al. · Physical Review Physics Education Research · 24
Exposure and Support of Latent Social Networks among Learning Object Repository Users
2020 · Bernd J. Krämer, Christine von Prümmer, et al. · Zenodo (CERN European Organization for Nuclear Research) · 24
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Gathering and timely use of feedback from individualized on-line work
2005 · M. Hall, J. Parker, et al. · 2022 IEEE Frontiers in Education Conference (FIE) · 24
Works count: 171
Citation count: 2,088
H-index: 24
I10-index: 50
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