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The Comparison of Creating Homogeneous and Heterogeneous Collaborative Learning Groups in Intelligent Tutoring Systems.

, and . ACIIDS (1), volume 9011 of Lecture Notes in Computer Science, page 46-55. Springer, (2015)

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Assessing the quality of a Consensus determined using a multi-level approach., and . INISTA, page 131-136. IEEE, (2017)The Comparison of Creating Homogeneous and Heterogeneous Collaborative Learning Groups in Intelligent Tutoring Systems., and . ACIIDS (1), volume 9011 of Lecture Notes in Computer Science, page 46-55. Springer, (2015)The analysis of expert opinions' consensus quality.. Inf. Fusion, (2017)A conception for use of user profile to prediction learning effects in Intelligent Tutoring Systems., and . CYBCONF, page 97-101. IEEE, (2015)Evaluating the Effectiveness of Intelligent Tutoring System Offering Personalized Learning Scenario.. ACIIDS (1), volume 7196 of Lecture Notes in Computer Science, page 310-319. Springer, (2012)The Efficiency Analysis of the Multi-level Consensus Determination Method., and . ICCCI (1), volume 10448 of Lecture Notes in Computer Science, page 103-112. Springer, (2017)A Computer Adaptive Testing Method for Intelligent Tutoring Systems., and . KES (1), volume 6276 of Lecture Notes in Computer Science, page 281-289. Springer, (2010)Fuzzy Ontology Integration Using Consensus to Solve Conflicts on Concept Level., , , and . ACIIDS Posters, volume 351 of Studies in Computational Intelligence, page 33-42. Springer, (2011)An Item Bank Calibration Method for a Computer Adaptive Test., and . ACIIDS (1), volume 8397 of Lecture Notes in Computer Science, page 375-383. Springer, (2014)Comparison of One-Level and Two-Level Consensuses Satisfying the 2-Optimality Criterion.. ICCCI (1), volume 7653 of Lecture Notes in Computer Science, page 1-10. Springer, (2012)