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- Christopher J. MacLellan
aka: Christopher MacLellan, Christopher James MacLellan
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Publication search results
found 67 matches
- 2024
- Grace Guo
, Aishwarya Mudgal Sunil Kumar, Adit Gupta, Adam Coscia, Christopher J. MacLellan, Alex Endert:
Visualizing Intelligent Tutor Interactions for Responsive Pedagogy. AVI 2024: 45:1-45:9 - Lane Lawley, Christopher MacLellan:
VAL: Interactive Task Learning with GPT Dialog Parsing. CHI 2024: 5:1-5:18 - Neil T. Heffernan, Rose Wang, Christopher MacLellan, Arto Hellas, Chenglu Li, Candace Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore, Adish Singla, Zach Pardos, Maciej Pankiewicz, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew Lan, Lan Jiang, Mingyu Feng, Tanja Käser, Eamon Worden:
Leveraging Large Language Models for Next-Generation Educational Technologies. EDM 2024 - Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang, Alberto Goffi, Vincent Chan, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Rosina O. Weber, Christopher J. MacLellan:
Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure. ISBI 2024: 1-4 - Tommaso Calò, Christopher MacLellan:
Towards Educator-Driven Tutor Authoring: Generative AI Approaches for Creating Intelligent Tutor Interfaces. L@S 2024: 305-309 - Momin N. Siddiqui, Adit Gupta, Jennifer M. Reddig, Christopher J. MacLellan:
HTN-Based Tutors: A New Intelligent Tutoring Framework Based on Hierarchical Task Networks. L@S 2024: 491-495 - Jieyu Zhou, Christopher MacLellan:
Improving Interface Design in Interactive Task Learning for Hierarchical Tasks based on a Qualitative Study. UIST (Adjunct Volume) 2024: 85:1-85:3 - Nicki Barari, Xin Lian, Christopher J. MacLellan:
Avoiding Catastrophic Forgetting in Visual Classification Using Human Concept Formation. CoRR abs/2402.16933 (2024) - Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang, Alberto Goffi, Vincent Chan, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Rosina O. Weber, Christopher J. MacLellan:
Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure. CoRR abs/2403.02236 (2024) - Xin Lian, Sashank Varma, Christopher J. MacLellan:
Cobweb: An Incremental and Hierarchical Model of Human-Like Category Learning. CoRR abs/2403.03835 (2024) - Glen Smith, Adit Gupta, Christopher MacLellan:
Apprentice Tutor Builder: A Platform For Users to Create and Personalize Intelligent Tutors. CoRR abs/2404.07883 (2024) - Grace Guo, Aishwarya Mudgal Sunil Kumar, Adit Gupta, Adam Coscia, Christopher MacLellan, Alex Endert:
Visualizing Intelligent Tutor Interactions for Responsive Pedagogy. CoRR abs/2404.12944 (2024) - Tommaso Calò, Christopher J. MacLellan:
Towards Educator-Driven Tutor Authoring: Generative AI Approaches for Creating Intelligent Tutor Interfaces. CoRR abs/2405.14713 (2024) - Momin N. Siddiqui, Adit Gupta, Jennifer M. Reddig, Christopher J. MacLellan:
HTN-Based Tutors: A New Intelligent Tutoring Framework Based on Hierarchical Task Networks. CoRR abs/2405.14716 (2024) - Ximing Wen, Rosina O. Weber, Anik Sen, Darryl Hannan, Steven C. Nesbit, Vincent Chan, Alberto Goffi, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Christopher J. MacLellan:
The Impact of an XAI-Augmented Approach on Binary Classification with Scarce Data. CoRR abs/2407.06206 (2024) - Christopher James MacLellan, Kimberly Stowers, Lisa Brady:
Evaluating Alternative Training Interventions Using Personalized Computational Models of Learning. CoRR abs/2408.13684 (2024) - Jieyu Zhou, Christopher MacLellan:
Improving Interface Design in Interactive Task Learning for Hierarchical Tasks based on a Qualitative Study. CoRR abs/2409.10826 (2024) - Xin Lian, Nishant Baglodi, Christopher J. MacLellan:
Incremental and Data-Efficient Concept Formation to Support Masked Word Prediction. CoRR abs/2409.12440 (2024) - 2023
- Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang, Alberto Goffi, Vincent Chan, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Rosina O. Weber, Christopher J. MacLellan:
MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples. AAAI 2023: 15675-15681 - Erik Harpstead, Kimberly Stowers, Lane Lawley, Qiao Zhang, Christopher J. MacLellan:
Speculative Game Design of Asymmetric Cooperative Games to Study Human-Machine Teaming. FDG 2023: 77:1-77:4 - Nicola Montaut, Piotr Roztocki, Hao Yu, Stefania Sciara, Mario Chemnitz, Yoann Jestin, Benjamin MacLellan, Bennet Fischer, Michael Kues, Christian Reimer, Luis Romero Cortés, Benjamin Wetzel, Yanbing Zhang, Sebastien Loranger, Raman Kashyap, Alfonso Cino, Sai T. Chu, Brent E. Little, David J. Moss, Lucia Caspani, William J. Munro, José Azaña, Roberto Morandotti:
Scalable Quantum Signal Processing with Integrated Photonics and Fiber-based Modules. ICTON 2023: 1-4 - Lane Lawley, Christopher J. MacLellan:
Interactive Learning of Hierarchical Tasks from Dialog with GPT. CoRR abs/2305.10349 (2023) - Lane Lawley, Christopher J. MacLellan:
VAL: Interactive Task Learning with GPT Dialog Parsing. CoRR abs/2310.01627 (2023) - 2022
- Christopher J. MacLellan, Kenneth R. Koedinger:
Domain-General Tutor Authoring with Apprentice Learner Models. Int. J. Artif. Intell. Educ. 32(1): 76-117 (2022) - Michael Guerzhoy, Marion Neumann, Emmanuel Johnson, David Johnson, Henry Chai, Daniel Garijo, Zhuoyue Lyu, Christopher J. MacLellan:
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 (2022) - Glen Smith, Qiao Zhang, Christopher J. MacLellan:
Do It Like the Doctor: How We Can Design a Model That Uses Domain Knowledge to Diagnose Pneumothorax. AAAI Spring Symposium: MAKE 2022 - Qiao Zhang, Zeyu Chen, Natasha Lalwani, Christopher MacLellan:
Modifying Deep Knowledge Tracing for Multi-step Problems. EDM 2022 - Qiao Zhang, Christopher J. MacLellan:
(A)I Will Teach You to Play Gomoku: Exploring the Use of Game AI to Teach People. L@S 2022: 263-266 - Christopher J. MacLellan, Harshil Thakur:
Convolutional Cobweb: A Model of Incremental Learning from 2D Images. CoRR abs/2201.06740 (2022) - Glen Smith, Qiao Zhang, Christopher MacLellan:
Do it Like the Doctor: How We Can Design a Model That Uses Domain Knowledge to Diagnose Pneumothorax. CoRR abs/2205.12159 (2022)
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