Michael Krusmark
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
4
Active years
2010–2026
Best venue rank
B
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | HCI | AI-Powered Competency Modeling and Adaptive Content Generation for Language Proficiency Development. | Florian Sense, Ian Dye, Michael G. Collins, Garrett Swan, Michael Krusmark, Sara A. Smith, Tiffany Jastrzembski Myers |
| 2025 | HCI | Methods for Detecting Changes in Learning Mechanisms to Improve Adaptive Intelligent Systems: A Model Simulation Study. | Michael G. Collins, Florian Sense, Michael Krusmark, Tiffany Myers |
| 2025 | HCI | Optimizing Language Proficiency: A Competency-Driven Approach to Adaptive Instruction in Defense Language Training. | Florian Sense, Ian Dye, Michael G. Collins, Michael Krusmark, Jason Starkey, Kamran Asadpour, Leah Graham, Tiffany Myers |
| 2022 | CogSci | Extending the Predictive Performance Equation to Account for Multivariate Performance. | Michael G. Collins, Florian Sense, Michael Krusmark, Tiffany S. Jastrzembski |
| 2022 | CogSci | Fuzzy Performance Profiles: Towards Personalized CPR Refresher Training. | Florian Sense, Lauren Sanderson, Joshua Onia, Michael Krusmark, Joshua Fiechter, Michael G. Collins, Tiffany S. Jastrzembski |
| 2021 | CogSci | Additional acquisition sessions monotonically benefit retention and relearning. | Joshua Fiechter, Florian Sense, Michael G. Collins, Michael Krusmark, Tiffany S. Jastrzembski |
| 2021 | EDM | Combining Cognitive and Machine Learning Models to Mine CPR Training Histories for Personalized Predictions. | Florian Sense, Michael Krusmark, Joshua Fiechter, Michael G. Collins, Lauren Sanderson, Joshua Onia, Tiffany S. Jastrzembski |
| 2020 | CogSci | Improving Predictive Accuracy of Models of Learning and Retention Through Bayesian Hierarchical Modeling: An Exploration with the Predictive Performance Equation. | Michael G. Collins, Florian Sense, Michael Krusmark, Tiffany S. Jastrzembski |
| 2020 | CogSci | Using K-means Clustering for Out-of-Sample Predictions of Memory Retention. | Florian Sense, Michael G. Collins, Tiffany S. Jastrzembski, Michael Krusmark |
| 2019 | CogSci | Deconvolving a Complex, Real-Life Task: Do standard lab tasks predict CPR learning and retention? | Sarah C. Maa, Florian Sense, Michael Krusmark, Kevin A. Gluck, Hedderik van Rijn |
| 2019 | CogSci | An Integrated Trial-Level Performance Measure: Combining Accuracy and RT to Express Performance During Learning. | Florian Sense, Tiffany S. Jastrzembski, Michael Krusmark, Siera Martinez, Hedderik van Rijn |
| 2017 | CogSci | Using Prior Data to Inform Initial Performance Predictions of Individual Students. | Michael G. Collins, Kevin A. Gluck, Matthew M. Walsh, Michael Krusmark |
| 2017 | HCI | Personalizing Training to Acquire and Sustain Competence Through Use of a Cognitive Model. | Tiffany S. Jastrzembski, Matthew M. Walsh, Michael Krusmark, Suzan Kardong-Edgren, Marilyn H. Oermann, Karey Dufour, Teresa Millwater, Kevin A. Gluck, Glenn Gunzelmann, Jack Harris, Dimitrios Stefanidis |
| 2016 | CogSci | Using Prior Data to Inform Model Parameters in the Predictive Performance Equation. | Michael G. Collins, Kevin A. Gluck, Matthew M. Walsh, Michael Krusmark, Glenn Gunzelmann |
| 2010 | HPDC | Simultaneous performance exploration and optimized search with volunteer computing. | L. Richard Moore, Matthew Kopala, Thomas Mielke, Michael Krusmark, Kevin A. Gluck |