Select Publications
MacLellan, C., Stowers, K., and Brady, L. (2020). Optimizing Human Performance using Individualized Computational Models of Learning. Proceedings of the Eighth Annual Conference on Advances in Cognitive Systems. (https://advancesincognitivesystems.github.io/acs/data/ACS2020_paper_23.pdf)
MacLellan, C.J., Harpstead, E., Sheline, R. (2019) A Human-centered Approach to Designing Teachable Systems. In Proceedings of the CHI 2019 Workshop titled Where is the Human? Bridging the Gap Between AI and HCI. (pdf)
Sheline, R. & MacLellan., C.J. (2018). Investigating Machine-Learning Interaction with Wizard-of-Oz Experiments. In Proceedings of the NeurIPS 2018 Workshop on Learning by Instruction. (pdf)
MacLellan, C.J., Harpstead, E., Marinier III, R. P., Koedinger, K.R. (2018). A Framework for Natural Cognitive System Training Interactions. Advances in Cognitive Systems, 6, 177-192. (pdf)
MacLellan, C.J., Harpstead, E., Aleven, V., Koedinger K.R. (2016) TRESTLE: A Model of Concept Formation in Structured Domains. Advances in Cognitive Systems, 4, 131-150. (pdf)
MacLellan, C.J., Harpstead, E., Patel, R., Koedinger, K.R. (2016). The Apprentice Learner Architecture: Closing the loop between learning theory and educational data. In Proceedings of the 9th International Conference on Educational Data Mining. Raleigh, NC: International Educational Data Mining Society. (Exemplary Paper Award) (pdf)
MacLellan, C.J., Liu, R., Koedinger, K.R. (2015) Accounting for Slipping and Other False Negatives in Logistic Models of Student Learning. In O.C. Santos et al. (Eds.), Proceedings of the 8th International Conference on Educational Data Mining. Madrid, Spain: International Educational Data Mining Society. (pdf)
MacLellan, C.J. (2015). Assessing the Creativity of Designs at Scale. In E. Y. Do (Ed.), Proceedings of the 2015 ACM SIGCHI Conference on Creativity and Cognition (pp. 339-340). New York: ACM Press. doi: 10.1145/2757226.2764770 (pdf)
MacLellan, C.J., Koedinger, K.R., Matsuda, N. (2014) Authoring Tutors with SimStudent: An Evaluation of Efficiency and Model Quality. In S. Trausan-Matu, K. E. Boyer, M. Crosby, & K. Panourgia (Eds.), Proceedings of the 12th International Conference on Intelligent Tutoring Systems (pp. 551-560). Switzerland: Springer International. doi: 10.1007/978-3-319-07221-0 (pdf)
MacLellan, C.J., Langley, P., Shah, J., Dinar, M. (2013) A Computational Aid for Problem Formulation in Early Conceptual Design. Journal of Computing and Information Science in Engineering,13(3). doi: 10.1115/1.4024714 (pdf)
Grant Awards
Drexel PI, Defense Advanced Research Projects Agency (DARPA) 2020-2021 “ATTUNE: Predicting Effects of HPO Interventions with Socio-Cognitive Agents that Leverage Individual Residuals”