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RFBR grant 20-07-00764 (2020-2021): Conceptual modeling of the knowledge domain on the comprehension level for intelligent decision-making systems in the learning

Papers

2021 (19)
  • D V Litovkin, A V Anikin, O A Sychev, T Petrova (feb 2021) ORM Diagram as an Intermediate Model for OWL Ontology Engineering: Protégé ORM Plugin Implementation. Journal of Physics: Conference Series 1801 (1) pp. 012009. IOP Publishing. doi web bibtex
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  • O. Sychev (2021) Combining neural networks and symbolic inference in a hybrid cognitive architecture. Procedia Computer Science 190 pp. 728-734. Elsevier B.V.. doi web 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
  • 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, Dmitrii Sasov, Pavel Chechetkin (2021) Developing An Understanding Of Variables And Expressions In Introductory Programming Courses. In EpSBS - Volume 102 - NININS 2020. pp. 1019-1028. European Publisher. doi web bibtex
  • 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, 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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  • O. Sychev, A. Anikin, G. Terekhov (2021) Demonstrating Concepts through Visual Simulators: Two Cases in the Programming Domain. Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2010-October IEEE Computer Society. 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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  • O. Sychev, Y. Kamennov (2021) Eligibility of English Hypernymy Resources for Extracting Knowledge from Natural-Language Texts. Advances in Intelligent Systems and Computing 1310 pp. 501-507. Springer Science and Business Media Deutschland GmbH. doi web bibtex
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  • D. Litovkin, D. Dontsov, A. Anikin, O. Sychev (2021) Suitability of Object-Role Modeling Diagrams as an Intermediate Model for Ontology Engineering: Testing the Rules for Mapping. Advances in Intelligent Systems and Computing 1310 pp. 188-194. Springer Science and Business Media Deutschland GmbH. doi web bibtex
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  • O. Sychev (2021) CorrectWriting: Open-Ended Question with Hints for Teaching Programming-Language Syntax. Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE pp. 623-624. Association for Computing Machinery. doi web bibtex
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  • O.A. Sychev, A.A. Prokudin, O.E. Evtushenko, O.V. Toporkova (2021) The impact of formative quizzes using CorrectWriting question type on learning word order in an ESL course. Journal of Physics: Conference Series 1801 (1) IOP Publishing Ltd. doi web bibtex
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  • O. Sychev (2021) Visualizing Program State as a Clustered Graph for Learning Programming. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12909 LNAI pp. 404-407. 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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  • V. Uglev, O. Sychev (2021) Concentrating Competency Profile Data into Cognitive Map of Knowledge Diagnosis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12909 LNAI pp. 443-446. Springer Science and Business Media Deutschland GmbH. doi web bibtex
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  • E. Novozhenina, O. Sychev, O. Toporkova, O. Evtushenko (2021) Teaching English Word Order with CorrectWriting Software. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12951 LNCS pp. 681-692. Springer Science and Business Media Deutschland GmbH. doi web bibtex
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  • V. Uglev, O. Sychev (2021) Creating and Visualising Cognitive Maps of Knowledge Diagnosis During the Processing of Learning Digital Footprint. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12677 LNCS pp. 93-98. 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
    • Abstract