Dan Carpenter
Research Scientist and Assistant Director of NSF AI Institute for Engaged Learning
dcarpen2@ncsu.edu
I am a Research Scientist in the Department of Computer Science at North Carolina State University, as well as Assistant Director for the NSF AI Institute for Engaged Learning. I graduated from Siena College in Loudonville, NY with a B.S. in Computer Science and received a Ph.D. in Computer Science under Dr. James Lester at North Carolina State University.
My research interests focus on the application of artificial intelligence in educational settings. In particular, I am interested in designing and developing adaptive narrative-centered learning environments; using machine learning to automatically analyze and support students’ self-regulatory behaviors, such as goal setting, planning, and reflection; and leveraging advances in natural language processing to analyze students’ interactions during collaborative learning.
Education
Ph.D., Computer Science (2023)
North Carolina State University, Raleigh, NC
M.S., Computer Science (2021)
North Carolina State University, Raleigh, NC
B.S., Computer Science; B.S., Mathematics (2014-2018)
Siena College, Loudonville, NY
Publications
Anisha Gupta, Dan Carpenter, Wookhee Min, Jonathan Rowe, Roger Azevedo, and James Lester. Detecting and Mitigating Encoded Bias in Deep Learning-Based Stealth Assessment Models for Reflection-Enriched Game-Based Learning Environments. International Journal of Artificial Intelligence in Education, in press.
Anisha Gupta, Dan Carpenter, Wookhee Min, Bradford Mott, Krista Glazewski, Cindy Hmelo-Silver, and James Lester. Enhancing Stealth Assessment in Collaborative Game-based Learning with Multi-Task Learning. Proceedings of the Twenty-Fourth International Conference on Artificial Intelligence in Education, pp. 304-315, Tokyo, 2023.
Alex Goslen, Dan Carpenter, Jonathan Rowe, Roger Azevedo, and James Lester. Robust Player Plan Recognition in Digital Games with Multi-Task Multi-Label Learning. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 105-112. Pomona, California, USA, 2022.
Anisha Gupta, Dan Carpenter, Wookhee Min, Jonathan Rowe, Roger Azevedo, and James Lester. Enhancing Multimodal Goal Recognition in Open-World Games with Natural Language Player Reflections. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 37-44. Pomona, California, USA, 2022.
Henry Crain, Dan Carpenter, and Chris Martens. Evaluating a Casual Procedural Generation Tool for Tabletop Role-Playing Game Maps. 2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), pp. 1-6. Virtual, 2022.
Fahmid Morshed Fahid, Halim Acosta, Seung Lee, Dan Carpenter, Bradford Mott, Haesol Bae, Asmalina Saleh, Thomas Brush, Krista Glazewski, Cindy E. Hmelo-Silver, and James Lester. Mulitmodal Behavioral Disengagement Detection for Collaborative Game-Based Learning. Proceedings of the Twenty-Third International Conference on Artificial Intelligence in Education, pp. 218-221. Virtual, 2022.
Alex Goslen, Dan Carpenter, Jonathan Rowe, Nathan Henderson, Roger Azevedo, and James Lester. Leveraging Student Goal Setting for Real-Time Plan Recognition in Game-Based Learning. Proceedings of the Twenty-Third International Conference on Artificial Intelligence in Education, pp. 78-89. Virtual, 2022.
Elizabeth Cloude, Dan Carpenter, Daryn Dever, Roger Azevedo, and James Lester. Game-Based Learning Analytics for Supporting Adolescents’ Reflection. Journal of Learning Analytics, 8(2), 51-72, 2021.
Dan Carpenter, Elizabeth Cloude, Jonathan Rowe, Roger Azevedo, and James Lester. Investigating Student Reflection during Game-Based Learning in Middle Grades Science. Proceedings of the Eleventh International Learning Analytics and Knowledge Conference, pp. 280-291, Virtual, 2021.
Michael Geden, Andrew Emerson, Dan Carpenter, Jonathan Rowe, Roger Azevedo, and James Lester. Predictive Student Modeling in Game-Based Learning Environments with Word Embedding Representations of Reflection. International Journal of Artificial Intelligence in Education, 31(1), 1-23, 2021.
Dan Carpenter, Andrew Emerson, Bradford Mott, Asmalina Saleh, Krista Glazewski, Cindy Hmelo-Silver, and James Lester. Detecting Off-Task Behavior from Student Dialogue in Game-Based Collaborative Learning. Proceedings of the Twenty-First International Conference on Artificial Intelligence in Education, pp. 56-66, Ifrane, Morocco, 2020.
Dan Carpenter, Michael Geden, Jonathan Rowe, Roger Azevedo, and James Lester. Automated Analysis of Middle School Students’ Written Reflections During Game-Based Learning. Proceedings of the Twenty-First International Conference on Artificial Intelligence in Education, pp. 67-78, Ifrane, Morocco, 2020.