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Improving Learning & Reducing Time: A Constrained Action-Based Reinforcement Learning Approach.

, , , и . UMAP, стр. 43-51. ACM, (2018)

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Nasser Mostafavi

Behrooz Bayat

Iman Mostafavi

Abbas Mostafavi

Behrooz Moayeri

 

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Task and Timing: Separating Procedural and Tactical Knowledge in Student Models., , , и . EDM, International Educational Data Mining Society (IEDMS), (2017)Determining Problem Selection for a Logic Proof Tutor., и . EDM, стр. 387-389. International Educational Data Mining Society, (2013)Investigating the Impact of Backward Strategy Learning in a Logic Tutor: Aiding Subgoal Learning towards Improved Problem Solving., , , , и . CoRR, (2022)Automatic Generation of Proof Problems in Deductive Logic., , и . EDM, стр. 289-294. www.educationaldatamining.org, (2011)Exploring the Effect of Autoencoder Based Feature Learning for a Deep Reinforcement Learning Policy for Providing Proactive Help., , , и . AIED (Posters/Late Breaking Results/...), том 1831 из Communications in Computer and Information Science, стр. 278-283. Springer, (2023)Ninth SPLICE Workshop on Technology and Data Infrastructure for CS Education Research., , , , , и . SIGCSE (2), стр. 1904. ACM, (2024)Learning Problem Decomposition-Recomposition with Data-driven Chunky Parsons Problems within an Intelligent Logic Tutor., , , , и . EDM, International Educational Data Mining Society, (2023)Combining Worked Examples and Problem Solving in a Data-Driven Logic Tutor., , и . ITS, том 9684 из Lecture Notes in Computer Science, стр. 347-353. Springer, (2016)Investigating the Impact of Unsolicited Next-Step and Subgoal Hints on Dropout in a Logic Proof Tutor (Abstract Only)., и . SIGCSE, стр. 705. ACM, (2017)Data-Driven Worked Examples Improve Retention and Completion in a Logic Tutor., , , , и . AIED, том 9112 из Lecture Notes in Computer Science, стр. 726-729. Springer, (2015)