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Student Clustering Based on Learning Behavior Data in the Intelligent Tutoring System.

, , , and . Int. J. Distance Educ. Technol., 18 (2): 73-89 (2020)

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Multi-Agent Systems in Distributed Computation., , and . KES-AMSTA, volume 7327 of Lecture Notes in Computer Science, page 629-637. Springer, (2012)Vision based wildfire and natural risk observers., , , , , , , and . IPTA, page 37-42. IEEE, (2012)Application of Cogent Confabulation Classifier to bathing water quality assessment using remote sensing data., , , and . MIPRO, page 962-967. IEEE, (2022)Time Spent Online as an Online Learning Behavior Variable in a Blended Learning Environment with an Ontology-Based Intelligent Tutoring System., and . SoftCOM, page 1-6. IEEE, (2018)Using TF-ISF with Local Context to Generate an Owl Document Representation for Sentence Retrieval, , and . Computer Science & Engineering: An International Journal (CSEIJ), 05 (05): 01-15 (October 2015)Human emotions classification using bag-of-words method on single electrode brain computer interface., and . SoftCOM, page 1-5. IEEE, (2017)Relation generality - A metric for executable class model quality., , and . SoftCOM, page 367-371. IEEE, (2014)Observer network and forest fire detection., , and . Inf. Fusion, 12 (3): 160-175 (2011)Performance Comparison of the Cogent Confabulation Classifier with Other Commonly Used Supervised Machine Learning Algorithms for Bathing Water Quality Assessment., , , and . J. Comput. Inf. Technol., 30 (1): 1-21 (2022)Predicting student's learning outcome from Learning management system logs., , , and . SoftCOM, page 210-214. IEEE, (2015)