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Using Hidden Markov Models to Characterize Student Behaviors in Learning-by-Teaching Environments.

, , , , , and . Intelligent Tutoring Systems, volume 5091 of Lecture Notes in Computer Science, page 614-625. Springer, (2008)

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Multi-level Methods for Combined Diagnostics and Prognostics., and . AAAI Fall Symposium: Artificial Intelligence for Prognostics, volume FS-07-02 of AAAI Technical Report, page 9-16. AAAI Press, (2007)A Differential Approach for Identifying Important Student Learning Behavior Patterns with Evolving Usage over Time., , , and . PAKDD Workshops, volume 8643 of Lecture Notes in Computer Science, page 281-292. Springer, (2014)Smart Open-Ended Learning Environments That Support Learners Cognitive and Metacognitive Processes., , and . CHI-KDD, volume 7947 of Lecture Notes in Computer Science, page 303-310. Springer, (2013)Qualitative modeling in engineering applications., , and . SMC, page 997-1002. IEEE, (1989)Extending intelligent learning environments with teachable agents to enhance learning, , , , and . Proc. 10th Int'l Conf. on AI in Education: AI-ED in the Wired and Wireless Future, page 389--397. San Antonio, TX, USA, IOS Press, (2001)Prioritized Allocation of Emergency Responders based on a Continuous-Time Incident Prediction Model., , , and . AAMAS, page 168-177. ACM, (2017)Incident analysis and prediction using clustering and Bayesian network., , , , and . SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, page 1-8. IEEE, (2017)A Relearning Approach to Reinforcement Learning for Control of Smart Buildings., , and . CoRR, (2020)A Bayesian approach for structural learning with hidden Markov models., and . Sci. Program., 10 (3): 201-219 (2002)Personalization in OELEs: Developing a Data-Driven Framework to Model and Scaffold SRL Processes., and . AIED (2), volume 11626 of Lecture Notes in Computer Science, page 354-358. Springer, (2019)