Publications

Lab Publications

Barari, N., Lian, X., & MacLellan, C. J. (2024). Avoiding Catastrophic Forgetting in Visual Classification Using Human Concept Formation. arXiv preprint arXiv:2402.16933. (pdf)

Smith, G., Gupta, A., & MacLellan, C. (2024). Apprentice Tutor Builder: A Platform For Users to Create and Personalize Intelligent Tutors. arXiv preprint arXiv:2404.07883. (pdf)

Lawley, L., & MacLellan, C. J. (2024). VAL: Interactive Task Learning with GPT Dialog Parsing. In Proceedings of the CHI Conference on Human Factors in Computing Systems. (pdf)

Guo, G., Kumar, A. M. S., Gupta, A., Coscia, A., Maclellan, C., & Endert, A. (2024). Visualizing Intelligent Tutor Interactions for Responsive Pedagogy. In Proceedings of the 2024 International Conference on Advanced Visual Interfaces. (pdf)

Hannan, D., Nesbit, S. C., Wen, X., Smith, G., Zhang, Q., Goffi, A., Chan, V., Morris, M.J., Hunninghake, J. C., Villalobos, N. E., Kim, E., Weber, R. O., & MacLellan, C. J. (2024). Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure. In Proceedings of The International Symposium on Biomedical Imaging. (pdf)

Lian, X., Varma, S., & MacLellan, C. J. (2024). Cobweb: An Incremental and Hierarchical Model of Human-Like Category Learning. In Proceedings of the 2024 Cognitive Science Conference. (pdf)

Calo, T., & MacLellan, C. J. (2024). Towards Educator-Driven Tutor Authoring: Generative AI Approaches for Creating Intelligent Tutor Interfaces. In Proceedings of the 10th Conference on Learning at Scale. (pdf) (poster)

Siddiqui, M. N., Gupta, A., Reddig, J. M., & Maclellan, C. J. (2024). HTN-Based Tutors: A New Intelligent Tutoring Framework Based on Hierarchical Task Networks. In Proceedings of the 10th Conference on Learning at Scale. (pdf)

Zhang, Qiao. (2024). Working with My TeammAItes: Exploring Human-AI Teaming Dynamics through Gaming Environments. Presented at the 19th International Conference on the Foundations of Digital Games.

Zhang, Q. (2023). Understanding Human-AI Teaming Dynamics through Gaming Environments. In Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 19(1), 440-443. (pdf)

Lawley, L., & MacLellan, C. J. (2023). Interactive Learning of Hierarchical Tasks from Dialog with GPT. arXiv preprint arXiv:2305.10349. (pdf)

Harpstead, E., Stowers, K., Lawley, L., Zhang, Q., MacLellan, C.J. (2023). Speculative Game Design of Asymmetric Cooperative Games to Study Human-Machine Teaming. In Proceedings of The First Workshop on Human-AI Interaction through Play @ The Foundations of Digital Games 2023 (FDG 2023). (pdf)

Hannan, D., Nesbit, S.C., Wen, X., Smith, G., Zhang, Q., Goffi, A., Chan, V., Morris, M.J., Hunninghake, J.C., Villalobos, N.E., Kim, E., Weber, R.O., MacLellan, C.J. (2023). MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples. In Proceedings of The Thirty-Fifth Annual Conference on Innovative Applications of Artificial Intelligence. (pdf)

MacLellan, C.J., Stowers, K., Brady, L. (2023). Evaluating Alternative Training Interventions Using Personalized Computational Models of Learning. Advances in Cognitive Systems, 10, 1-18. (pdf)

MacLellan, C.J., Matsakis, P., & Langley, P. (2022). Efficient Induction of Language Models via Probabilistic Concept Formation. In Proceedings of the Tenth Annual Conference on Advances in Cognitive Systems. (pdf)

Guerzhoy, M., Neumann, M., Johnson, E., Johnson, D., Chai, H., Garijo, D., Lyu, Z. & MacLellan, C.J. (2022) EAAI-22 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program. AI Matters, 8(2), 16-21. (pdf)

Zhang, Q., Chen, Z., Lalwani, N., MacLellan, C.J. (2022). Modifying Deep Knowledge Tracing for Multi-step Problems. In Proceedings of the 15th International Conference on Educational Data Mining. (pdf) (poster)

Zhang, Q., MacLellan, C.J. (2022). (A)I Will Teach You to Play Gomoku: Exploring the Use of Game AI to Teach People. In L@S ‘22: Proceedings of the Ninth ACM Conference on Learning @ Scale. (pdf)

Smith, G.*, Zhang, Q.*, MacLellan, C.J. (2022). Do it Like the Doctor: How We Can Design a Model That Uses Domain Knowledge to Diagnose Pneumothorax. In Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022). (* are co-first authors) (pdf)

MacLellan., C.J. & Thakur, H. (2021). Convolutional Cobweb: A Model of Incremental Learning from 2D Images. In Proceedings of the Ninth Annual Conference on Advances in Cognitive Systems. (pdf)

MacLellan, C.J., Gupta, A. (2021). Learning Expert Models for Educationally Relevant Tasks using Reinforcement Learning. Proceedings of the Fourteenth International Conference on Educational Data Mining. (pdf)

Zhang, Q., MacLellan, C.J. (2021). Going Online: A simulated student approach for evaluating knowledge tracing in the context of mastery learning. Proceedings of the Fourteenth International Conference on Educational Data Mining. (pdf)

Stowers, K., Brady, L., MacLellan, C.J., Wohleber, R., Salas, R. (2021). Improving Teamwork Competencies in Human-Machine Teams: Perspectives from Team Science. Frontiers in Psychology. doi: 10.3389/fpsyg.2021.590290

Zhang, Q., MacLellan C.J. (2021). Investigating Knowledge Tracing Models using Simulated Students. AAAI2021 Spring Symposium on Artificial Intelligence for K-12 Education.

Gupta, A., MacLellan, C.J. (2021). Designing Teachable Systems for Intelligent Tutor Authoring. AAAI2021 Spring Symposium on Artificial Intelligence for K-12 Education.

MacLellan, C.J., Koedinger, K.R. (2020). Domain General Tutor Authoring with Apprentice Learner Models. International Journal of AI in Education. doi: 10.1007/s40593-020-00214-2

MacLellan, C.J., Stowers, K., Brady, L. (2020). Optimizing Human Performance using Individualized Computational Models of Learning. Proceedings of the Eighth Annual Conference on Advances in Cognitive Systems.