2021 (8)
  • M. Denisov, A. Anikin, O. Sychev, A. Katyshev (2021) Program execution comprehension modelling for algorithmic languages learning using ontology-based techniques. Advances in Intelligent Systems and Computing 1184 pp. 256-269. Springer Science and Business Media Deutschland GmbH. doi web bibtex
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  • M. Denisov, A. Anikin, O. Sychev (2021) Dynamic Flowcharts for Enhancing Learners’ Understanding of the Control Flow During Programming Learning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12909 LNAI pp. 408-411. Springer Science and Business Media Deutschland GmbH. doi web bibtex
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  • O. Sychev, M. Denisov, G. Terekhov (2021) How it Works: Algorithms-A Tool for Developing an Understanding of Control Structures. Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE pp. 621-622. Association for Computing Machinery. doi web bibtex
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  • A. Anikin, O. Sychev, M. Denisov (2021) Ontology reasoning for explanatory feedback generation to teach how algorithms work. Frontiers in Artificial Intelligence and Applications 338 pp. V-VI. IOS Press BV. doi web bibtex
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  • Oleg Sychev, Nikita Penskoy, Anton Anikin, Mikhail Denisov, Artem Prokudin (2021) Improving comprehension: Intelligent tutoring system explaining the domain rules when students break them. Education Sciences 11 (11) MDPI. doi web bibtex
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  • Oleg Sychev, Anton Anikin, Mikhail Denisov (2021) Inference Engines Performance in Reasoning Tasks for Intelligent Tutoring Systems. In Computational Science and Its Applications textendash ICCSA 2021. pp. 471–482. Springer International Publishing. doi web bibtex
  • Oleg Sychev, Anton Anikin, Nikita Penskoy, Mikhail Denisov, Artem Prokudin (2021) CompPrehension - Model-Based Intelligent Tutoring System on Comprehension Level. In Intelligent Tutoring Systems. pp. 52–59. Springer International Publishing. Cham. bibtex
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  • Oleg Sychev, Mikhail Denisov, Anton Anikin (2021) Ways To Write Algorithms And Their Execution Traces For Teaching Programming. In EpSBS - Volume 102 - NININS 2020. pp. 1029-1039. European Publisher. doi web bibtex
2019 (1)
  • A Anikin, A Katyshev, M Denisov, V Smirnov, D Litovkin (mar 2019) Using online update of distributional semantics models for decision-making support for concepts extraction in the domain ontology learning task. IOP Conference Series: Materials Science and Engineering 483 pp. 012073. IOP Publishing. doi web bibtex
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