| Automatic grading and hinting in open-ended text questions O Sychev, A Anikin, A Prokudin Cognitive Systems Research 59, 264-272, 2020 | 37 | 2020 |
| Improving comprehension: Intelligent tutoring system explaining the domain rules when students break them O Sychev, N Penskoy, A Anikin, M Denisov, A Prokudin Education Sciences 11 (11), 719, 2021 | 20 | 2021 |
| Evaluation, comparison and monitoring of multiparameter systems by Unified Graphic Visualization of Activity method on the example of learning process V Uglev, O Sychev Algorithms 15 (12), 468, 2022 | 13 | 2022 |
| Verifying algorithm traces and fault reason determining using ontology reasoning O Sychev, M Denisov, A Anikin CEUR Workshop Proceedings, 49-53, 2020 | 13 | 2020 |
| CompPrehension-model-based intelligent tutoring system on comprehension level O Sychev, A Anikin, N Penskoy, M Denisov, A Prokudin International Conference on Intelligent Tutoring Systems, 52-59, 2021 | 12 | 2021 |
| Cross-cutting support of making and explaining decisions in intelligent tutoring systems using cognitive maps of knowledge diagnosis V Uglev, O Sychev, T Gavrilova International Conference on Intelligent Tutoring Systems, 51-64, 2022 | 11 | 2022 |
| Concentrating competency profile data into cognitive map of knowledge diagnosis V Uglev, O Sychev Diagrammatic Representation and Inference: 12th International Conference …, 2021 | 11 | 2021 |
| How it works: Algorithms-a tool for developing an understanding of control structures O Sychev, M Denisov, G Terekhov Proceedings of the 26th ACM Conference on Innovation and Technology in …, 2021 | 10 | 2021 |
| Automatic error detection and hint generation in the teaching of formal languages syntax using correctwriting question type for moodle lms OA Sychev, DP Mamontov 2018 3rd Russian-Pacific Conference on Computer Technology and Applications …, 2018 | 9 | 2018 |
| Multi-level modeling of structural elements of natural language texts and its applications A Anikin, O Sychev, V Gurtovoy Biologically Inspired Cognitive Architectures 2018: Proceedings of the Ninth …, 2019 | 8 | 2019 |
| Generating expression evaluation learning problems from existing program code O Sychev, N Penskoy, A Prokudin 2022 International Conference on Advanced Learning Technologies (ICALT), 183-187, 2022 | 7 | 2022 |
| Ontology-based modelling for learning on bloom’s taxonomy comprehension level A Anikin, O Sychev Biologically Inspired Cognitive Architectures 2019: Proceedings of the Tenth …, 2020 | 7 | 2020 |
| Ontology-based determining of Evaluation Order of C expressions and the Fault Reason for Incorrect Answers. O Sychev, N Penskoy ISWC (Demos/Industry), 44-49, 2020 | 7 | 2020 |
| Method for determining the Dominant type of human breathing using motion capture and Machine Learning Y Orlova, A Gorobtsov, O Sychev, V Rozaliev, A Zubkov, A Donsckaia Algorithms 16 (5), 249, 2023 | 6 | 2023 |
| Inference engines performance in reasoning tasks for intelligent tutoring systems OA Sychev, A Anikin, M Denisov International Conference on Computational Science and Its Applications, 471-482, 2021 | 6 | 2021 |
| Combining neural networks and symbolic inference in a hybrid cognitive architecture O Sychev Procedia Computer Science 190, 728-734, 2021 | 6 | 2021 |
| Generation of code tracing problems from open-source code O Sychev, A Prokudin, M Denisov Proceedings of the 54th ACM Technical Symposium on Computer Science …, 2023 | 5 | 2023 |
| Intelligent tutor for designing function interface in a programming language D Litovkin, A Anikin, K Kulyukin, O Sychev International Conference on Intelligent Tutoring Systems, 293-302, 2022 | 5 | 2022 |
| Using Software Reasoning to Determine Domain-law Violations and Provide Explanatory Feedback: Expressions Tutor Example. O Sychev, N Penskoy, G Terekhov CSEDU (1), 116-123, 2022 | 5 | 2022 |
| Creating and visualising cognitive maps of knowledge diagnosis during the processing of learning digital footprint V Uglev, O Sychev International Conference on Intelligent Tutoring Systems, 93-98, 2021 | 5 | 2021 |
