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An Improved Data-Driven Hint Selection Algorithm for Probability Tutors.

, , , and . EDM, page 610-611. International Educational Data Mining Society (IEDMS), (2015)

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Evolving Augmented Graph Grammars for Argument Analysis., , and . GECCO (Companion), page 65-66. ACM, (2016)Investigating the Impact of Backward Strategy Learning in a Logic Tutor: Aiding Subgoal Learning towards Improved Problem Solving., , , , and . CoRR, (2022)Time-aware deep reinforcement learning with multi-temporal abstraction., and . Appl. Intell., 53 (17): 20007-20033 (September 2023)Enhancing a Student Productivity Model for Adaptive Problem-Solving Assistance., , and . CoRR, (2022)Importance Sampling to Identify Empirically Valid Policies and their Critical Decisions., , , , and . EDM (Workshops), volume 2592 of CEUR Workshop Proceedings, page 69-78. CEUR-WS.org, (2019)Using the Hint Factory to Compare Model-Based Tutoring Systems., , , and . EDM (Workshops), volume 1446 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)What Time is It? Student Modeling Needs to Know., , , , and . EDM, International Educational Data Mining Society, (2020)A Unified Batch Hierarchical Reinforcement Learning Framework for Pedagogical Policy Induction with Deep Bisimulation Metrics., , , and . AIED (Posters/Late Breaking Results/...), volume 1831 of Communications in Computer and Information Science, page 599-605. Springer, (2023)Exploring the Effect of Autoencoder Based Feature Learning for a Deep Reinforcement Learning Policy for Providing Proactive Help., , , and . AIED (Posters/Late Breaking Results/...), volume 1831 of Communications in Computer and Information Science, page 278-283. Springer, (2023)Latent Space Encoding for Interpretable Fuzzy Logic Rules in Continuous and Noisy High-Dimensional Spaces., and . FUZZ, page 1-6. IEEE, (2023)