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ORCIDOleg Sychev
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2020 – today
- 2024
[j10]Oleg Sychev
:
Educational models for cognition: Methodology of modeling intellectual skills for intelligent tutoring systems. Cogn. Syst. Res. 87: 101261 (2024)- [j9]Oleg Sychev:
Searching Questions and Learning Problems in Large Problem Banks: Constructing Tests and Assignments on the Fly. Comput. 13(6): 144 (2024) - [c37]Yulia Gomazkova, Oleg Sychev, Marat Gumerov:
Improving Efficiency of Natural-Language Text Generation for Automatic Pedagogical Questions. ICCSA (Workshops 2) 2024: 37-50 - [c36]Kirill Kulyukin, Grigoriy Yakimov, Oleg Sychev:
Detecting Function Inputs and Outputs for Learning-Problem Generation in Intelligent Tutoring Systems. ITS (1) 2024: 244-257 - [c35]Andrey Krygin, Pavel Karpenko, Oleg Sychev:
Performing First-Order-Logic Queries Over RDF Data: Interpreter Versus Compiler to Apache Jena Rules. NiDS 2024: 537-548 - 2023
- [j8]Yulia Alexandrovna Orlova, Alexander Gorobtsov, Oleg Sychev, Vladimir L. Rozaliev, Alexander V. Zubkov, Anastasia Romanovna Donsckaia:
Method for Determining the Dominant Type of Human Breathing Using Motion Capture and Machine Learning. Algorithms 16(5): 249 (2023) - [j7]Oleg Sychev, Mikhail Denisov:
Explain Trace: Misconceptions of Control-Flow Statements. Comput. 12(10): 192 (2023) - [j6]Oleg Sychev:
Questions for teaching phrase building with automatic feedback. Softw. Impacts 15: 100461 (2023) - [j5]Artem Prokudin, Oleg Sychev, Mikhail Denisov:
Learning problem generator for introductory programming courses>. Softw. Impacts 17: 100519 (2023) - [j4]Oleg Sychev:
Open-answer question with regular expression templates and string completion hinting. Softw. Impacts 17: 100539 (2023) - [c34]Elena Berisheva, Oleg Sychev, Marat Berishev, Tatyana Chudasova:
COVID-19 Response and Its Aftermath: Experience in Introducing Online Learning Technologies to Diverse Teaching Staff. ICCSA (Workshops 1) 2023: 507-524 - [c33]Oleg Sychev, Marat Gumerov:
Generating Pedagogical Questions to Help Students Learn. ITS 2023: 195-208 - [c32]Viktor A. Uglev, Oleg Sychev:
Synthesizing Didactic Explanatory Texts in Intelligent Tutoring Systems Based on the Information in Cognitive Maps. ITS 2023: 233-246 - [c31]Oleg Sychev, Artem Prokudin, Mikhail Denisov:
Generation of Code Tracing Problems from Open-Source Code. SIGCSE (1) 2023: 875-881 - [c30]Evgeny Fomichev, Elena Berisheva, Alexander Dvoryankin, Oleg Sychev:
Interpreting Traces: Studying Misconceptions of Control Flow Statements. SIGCSE (2) 2023: 1361 - [c29]Alexander Katyshev, Anton Anikin, Oleg Sychev:
Using Transformer Models for Knowledge Graph Construction in Computer Science Education. SIGCSE (2) 2023: 1421 - 2022
- [j3]Viktor A. Uglev, Oleg Sychev:
Evaluation, Comparison and Monitoring of Multiparameter Systems by Unified Graphic Visualization of Activity Method on the Example of Learning Process. Algorithms 15(12): 468 (2022) - [j2]Alexander Gorobtsov, Oleg Sychev, Yulia Alexandrovna Orlova, Evgeniy Smirnov, Olga Grigoreva, Alexander Bochkin, Marina Andreeva:
Optimal Greedy Control in Reinforcement Learning. Sensors 22(22): 8920 (2022) - [c28]Oleg Sychev, Nikita Penskoy, Grigory Terekhov:
Using Software Reasoning to Determine Domain-law Violations and Provide Explanatory Feedback: Expressions Tutor Example. CSEDU (1) 2022: 116-123 - [c27]Oleg Sychev, Nikita Penskoy, Artem Prokudin:
Generating Expression Evaluation Learning Problems from Existing Program Code. ICALT 2022: 183-187 - [c26]Oleg Sychev:
From Question Generation to Problem Mining and Classification. ICALT 2022: 304-305 - [c25]Oleg Sychev:
Write a Line: Tests with Answer Templates and String Completion Hints for Self-Learning in a CS1 Course. ICSE (SEET) 2022: 265-276 - [c24]Viktor A. Uglev, Oleg Sychev, Tatiana Gavrilova:
Cross-Cutting Support of Making and Explaining Decisions in Intelligent Tutoring Systems Using Cognitive Maps of Knowledge Diagnosis. ITS 2022: 51-64 - [c23]Yaroslav Kamennov, Oleg Sychev, Yulia Alexandrovna Orlova:
Covering Possible Reasoning Errors for Intelligent Tutoring Systems: Order of Expression Evaluation Case. ITS 2022: 65-74 - [c22]Dmitry Litovkin, Anton Anikin, Kirill Kulyukin, Oleg Sychev:
Intelligent Tutor for Designing Function Interface in a Programming Language. ITS 2022: 293-302 - [c21]Artem Prokudin, Mikhail Denisov, Oleg Sychev:
Disk Space Consumption by Triple Storage Systems. NiDS 2022: 266-275 - [c20]Oleg Sychev, Nikita Penskoy, Grigory Terekhov:
A Tool to Teach Expressions with Feedback About Broken Laws. SIGCSE (2) 2022: 1158 - [c19]Oleg Sychev, Yaroslav Kamennov:
Grading Mastery: Calculating Grades from Domain-Law Violations. SIGCSE (2) 2022: 1170 - [i2]Oleg Sychev:
Write a Line: Tests with Answer Templates and String Completion Hints for Self-Learning in a CS1 Course. CoRR abs/2204.09036 (2022) - 2021
- [c18]Oleg Sychev:
Visualizing Program State as a Clustered Graph for Learning Programming. Diagrams 2021: 404-407 - [c17]Mikhail Denisov, Anton Anikin, Oleg Sychev:
Dynamic Flowcharts for Enhancing Learners' Understanding of the Control Flow During Programming Learning. Diagrams 2021: 408-411 - [c16]Viktor A. Uglev, Oleg Sychev:
Concentrating Competency Profile Data into Cognitive Map of Knowledge Diagnosis. Diagrams 2021: 443-446 - [c15]Oleg Sychev, Anton Anikin, Mikhail Denisov:
Inference Engines Performance in Reasoning Tasks for Intelligent Tutoring Systems. ICCSA (2) 2021: 471-482 - [c14]Elena Novozhenina, Oleg Sychev, Olga Toporkova, Oksana Evtushenko:
Teaching English Word Order with CorrectWriting Software. ICCSA (3) 2021: 681-692 - [c13]Oleg Sychev, Mikhail Denisov, Grigory Terekhov:
How it Works: Algorithms - A Tool for Developing an Understanding of Control Structures. ITiCSE (2) 2021: 621-622 - [c12]Oleg Sychev:
CorrectWriting: Open-Ended Question with Hints for Teaching Programming-Language Syntax. ITiCSE (2) 2021: 623-624 - [c11]Oleg Sychev, Anton Anikin, Nikita Penskoy, Mikhail Denisov, Artem Prokudin:
CompPrehension - Model-Based Intelligent Tutoring System on Comprehension Level. ITS 2021: 52-59 - [c10]Viktor A. Uglev, Oleg Sychev:
Creating and Visualising Cognitive Maps of Knowledge Diagnosis During the Processing of Learning Digital Footprint. ITS 2021: 93-98 - [c9]Anton Anikin, Oleg Sychev, Mikhail Denisov:
Ontology Reasoning for Explanatory Feedback Generation to Teach How Algorithms Work. NiDS 2021: 239-244 - [c8]Oleg Sychev, Anton Anikin, Grigory Terekhov:
Demonstrating Concepts Through Visual Simulators: Two Cases in the Programming Domain. VL/HCC 2021: 1-3 - 2020
- [j1]Oleg Sychev, Anton Anikin, Artem Prokudin:
Automatic grading and hinting in open-ended text questions. Cogn. Syst. Res. 59: 264-272 (2020) - [c7]Oleg Sychev:
Combining neural networks and symbolic inference in a hybrid cognitive architecture. BICA*AI 2020: 728-734 - [c6]Oleg Sychev, Nikita Penskoy:
Ontology-based determining of Evaluation Order of C expressions and the Fault Reason for Incorrect Answers. ISWC (Demos/Industry) 2020: 44-49 - [c5]Oleg Sychev, Mikhail Denisov, Anton Anikin:
Verifying algorithm traces and fault reason determining using ontology reasoning. ISWC (Demos/Industry) 2020: 49-54
2010 – 2019
- 2019
- [c4]Anton Anikin, Oleg Sychev:
Ontology-Based Modelling for Learning on Bloom's Taxonomy Comprehension Level. BICA 2019: 22-27 - [c3]Oleg Sychev, Anton Anikin, Artem Prokudin:
Methods of Determining Errors in Open-Ended Text Questions. BICA 2019: 521-526 - [c2]Oleg Sychev, Yaroslav Kamennov, Ekaterina Shurlaeva:
Approach to Automatic Determining of Speakers of Direct Speech Fragments in Natural Language Texts. BICA 2019: 527-531 - 2018
- [c1]Anton Anikin, Oleg Sychev:
Semantic treebanks and their uses for multi-level modelling of natural-language texts. BICA 2018: 64-71 - 2013
- [i1]Oleg Sychev, Dmitry Mamontov:
Determining token sequence mistakes in responses to questions with open text answer. CoRR abs/1301.2466 (2013)
Coauthor Index
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last updated on 2024-12-02 21:32 CET by the dblp team
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