| Medtec: A Web-Based Intelligent Tutor for Basic Anatomy. CR Eliot III, DE Neiman, MM LaMar WebNet 97, 1-5, 1997 | 70 | 1997 |
| Inferring Learners' Knowledge From Their Actions AN Rafferty, MM LaMar, TL Griffiths Cognitive science 39 (3), 584-618, 2015 | 46 | 2015 |
| Markov decision process measurement model MM LaMar psychometrika 83 (1), 67-88, 2018 | 43 | 2018 |
| A textual object management system SC Deerwester, K Waclena, M LaMar Proceedings of the 15th annual international ACM SIGIR conference on …, 1992 | 39 | 1992 |
| Flow and stability of helium II between concentric cylinders RJ Donnelly, MM LaMar Journal of Fluid Mechanics 186, 163-198, 1988 | 33 | 1988 |
| Validity CHAPTER 18–Issues and Concerns for Technology-based Performance Assessments IR Katz, MM LaMar, R Spain, JD Zapata-Rivera, JA Baird, S Greiff Design Recommendations for Intelligent Tutoring System-Volume 5: Assessment …, 2017 | 14 | 2017 |
| Absolute measurement of the viscosity of classical and quantum fluids by rotating-cylinder viscometers RJ Donnelly, MM LaMar Physical Review A 36 (9), 4507, 1987 | 14 | 1987 |
| Using and developing measurement instruments in science education: A Rasch modeling approach MM Lamar Science education 96 (1), 183-185, 2012 | 11 | 2012 |
| Evidence for a cultural mindset: Combining process data, theory, and simulation LTR Holden, M LaMar, M Bauer Frontiers in Psychology, 3998, 2021 | 10 | 2021 |
| Inferring learners’ knowledge from observed actions A Rafferty, M Lamar, T Griffiths Educational Data Mining 2012, 2012 | 10 | 2012 |
| Models for understanding student thinking using data from complex computerized science tasks MM LaMar University of California, Berkeley, 2014 | 9 | 2014 |
| Architecting the Elephant: Software Architecture and User Interface Design for Pachyderm 2.0 M LaMar, J Archer, T Hapgood, D Norman, T Wang Museums and the Web, Selected Papers from an International Conference …, 2005 | 7 | 2005 |
| Virtual Performance-Based Assessments J Andrews-Todd, RJ Mislevy, M LaMar, S Klerk Computational Psychometrics: New Methodologies for a New Generation of …, 2021 | 5 | 2021 |
| MethodsforAssessing Inquiry: Machine-learnedandTheoretical M LaMar, RS Baker, S Greiff Design Recommendations for Intelligent Tutoring System-Volume 5: Assessment …, 2017 | 5 | 2017 |
| Multiple patient casualty scenarios: a measurement tool for teamwork SL Marlow, WL Bedwell, S Zajac, DL Reyes, M LaMar, S Khan, ... Simulation in Healthcare 13 (6), 394-403, 2018 | 3 | 2018 |
| Toward Automatically Measuring Learner Ability from Human-Machine Dialog Interactions using Novel Psychometric Models V Ramanarayanan, M LaMar Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building …, 2018 | 2 | 2018 |
| Time Series and Stochastic Processes P Halpin, L Ou, M LaMar Computational Psychometrics: New Methodologies for a New Generation of …, 2021 | 1 | 2021 |
| Modifying Cognitive Load Component Survey for K-12 STEM Testing. J Huang, JK van Groos, M Lamar CogSci, 2016 | 1 | 2016 |
| Multiple Patient Casualty Scenarios: A Measurement Tool for Teamwork (vol 13, pg 394, 2018) SL Marlow, WL Bedwell, S Zajac, DL Reyes, M LaMar, S Khan SIMULATION IN HEALTHCARE-JOURNAL OF THE SOCIETY FOR SIMULATION IN HEALTHCARE …, 2019 | | 2019 |
| Assessing Science Inquiry using MDP Goal Detectors. M Lamar, JK van Groos CogSci, 2016 | | 2016 |
