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Accounting for Slipping and Other False Negatives in Logistic Models of Student Learning.

, , and . EDM, page 53-60. International Educational Data Mining Society (IEDMS), (2015)

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The implications of non-uniformity in fields-of-view of commonly used field spectroradiometers., , and . IGARSS, page 2890-2893. IEEE, (2007)Investigating the Impact of Slipping Parameters on Additive Factors Model Parameter Estimates.. EDM (Workshops), volume 1633 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Do It Like the Doctor: How We Can Design a Model That Uses Domain Knowledge to Diagnose Pneumothorax., , and . AAAI Spring Symposium: MAKE, volume 3121 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)Computational Models of Human Learning: Applications for Tutor Development, Behavior Prediction, and Theory Testing.. Carnegie Mellon University, USA, (2017)VAL: Interactive Task Learning with GPT Dialog Parsing., and . CoRR, (2023)Toward a reflective SimStudent: Using experience to avoid generalization errors., , and . AIED Workshops, volume 1009 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)The Apprentice Learner architecture: Closing the loop between learning theory and educational data., , , and . EDM, page 151-158. International Educational Data Mining Society (IEDMS), (2016)A Computational Aid for Problem Formulation in Early Conceptual Design., , , and . J. Comput. Inf. Sci. Eng., (2013)Towards Natural Cognitive System Training Interactions: A Preliminary Framework., , , and . AAAI Spring Symposia, AAAI Press, (2018)High Performance Dual Field of View Spectroradiometer with Novel Input Optics for, Autonomous Reflectance Measurements over an Extended Spectral Range., and . IGARSS (3), page 861-864. IEEE, (2009)