Determining token sequence mistakes in responses to questions with open text answer - Oleg Sychev; Dmitry Mamontov (CoRR, 2013)

Semantic treebanks and their uses for multi-level modelling of natural-language texts. - Anton Anikin 001; Oleg Sychev (BICA, 2018)

Ontology-Based Modelling for Learning on Bloom's Taxonomy Comprehension Level. - Anton Anikin 001; Oleg Sychev (BICA, 2019)

Methods of Determining Errors in Open-Ended Text Questions. - Oleg Sychev; Anton Anikin 001; Artem Prokudin (BICA, 2019)

Approach to Automatic Determining of Speakers of Direct Speech Fragments in Natural Language Texts. - Oleg Sychev; Yaroslav Kamennov; Ekaterina Shurlaeva (BICA, 2019)

Combining neural networks and symbolic inference in a hybrid cognitive architecture. - Oleg Sychev (BICA*AI, 2020)

Verifying algorithm traces and fault reason determining using ontology reasoning. - Oleg Sychev; Mikhail Denisov; Anton Anikin 001 (ISWC (Demos/Industry), 2020)

Ontology-based determining of Evaluation Order of C expressions and the Fault Reason for Incorrect Answers. - Oleg Sychev; Nikita Penskoy (ISWC (Demos/Industry), 2020)

Automatic grading and hinting in open-ended text questions. - Oleg Sychev; Anton Anikin 001; Artem Prokudin (Cogn. Syst. Res., 2020)

Dynamic Flowcharts for Enhancing Learners' Understanding of the Control Flow During Programming Learning. - Mikhail Denisov; Anton Anikin 001; Oleg Sychev (Diagrams, 2021)

Visualizing Program State as a Clustered Graph for Learning Programming. - Oleg Sychev (Diagrams, 2021)

Concentrating Competency Profile Data into Cognitive Map of Knowledge Diagnosis. - Viktor A. Uglev; Oleg Sychev (Diagrams, 2021)

Teaching English Word Order with CorrectWriting Software. - Elena Novozhenina; Oleg Sychev; Olga Toporkova; Oksana Evtushenko (ICCSA (3), 2021)

Inference Engines Performance in Reasoning Tasks for Intelligent Tutoring Systems. - Oleg Sychev; Anton Anikin 001; Mikhail Denisov (ICCSA (2), 2021)

CorrectWriting: Open-Ended Question with Hints for Teaching Programming-Language Syntax. - Oleg Sychev (ITiCSE (2), 2021)

How it Works: Algorithms - A Tool for Developing an Understanding of Control Structures. - Oleg Sychev; Mikhail Denisov; Grigory Terekhov (ITiCSE (2), 2021)

CompPrehension - Model-Based Intelligent Tutoring System on Comprehension Level. - Oleg Sychev; Anton Anikin 001; Nikita Penskoy; Mikhail Denisov; Artem Prokudin (ITS, 2021)

Creating and Visualising Cognitive Maps of Knowledge Diagnosis During the Processing of Learning Digital Footprint. - Viktor A. Uglev; Oleg Sychev (ITS, 2021)

Ontology Reasoning for Explanatory Feedback Generation to Teach How Algorithms Work. - Anton Anikin 001; Oleg Sychev; Mikhail Denisov (NiDS, 2021)

Demonstrating Concepts Through Visual Simulators: Two Cases in the Programming Domain. - Oleg Sychev; Anton Anikin 001; Grigory Terekhov (VL/HCC, 2021)

Using Software Reasoning to Determine Domain-law Violations and Provide Explanatory Feedback: Expressions Tutor Example. - Oleg Sychev; Nikita Penskoy; Grigory Terekhov (CSEDU (1), 2022)

From Question Generation to Problem Mining and Classification. - Oleg Sychev (ICALT, 2022)

Generating Expression Evaluation Learning Problems from Existing Program Code. - Oleg Sychev; Nikita Penskoy; Artem Prokudin (ICALT, 2022)

Write a Line: Tests with Answer Templates and String Completion Hints for Self-Learning in a CS1 Course. - Oleg Sychev (ICSE (SEET), 2022)

Covering Possible Reasoning Errors for Intelligent Tutoring Systems: Order of Expression Evaluation Case. - Yaroslav Kamennov; Oleg Sychev; Yulia Alexandrovna Orlova (ITS, 2022)

Intelligent Tutor for Designing Function Interface in a Programming Language. - Dmitry Litovkin; Anton Anikin 001; Kirill Kulyukin; Oleg Sychev (ITS, 2022)

Cross-Cutting Support of Making and Explaining Decisions in Intelligent Tutoring Systems Using Cognitive Maps of Knowledge Diagnosis. - Viktor A. Uglev; Oleg Sychev; Tatiana Gavrilova (ITS, 2022)

Disk Space Consumption by Triple Storage Systems. - Artem Prokudin; Mikhail Denisov; Oleg Sychev (NiDS, 2022)

Grading Mastery: Calculating Grades from Domain-Law Violations. - Oleg Sychev; Yaroslav Kamennov (SIGCSE (2), 2022)

A Tool to Teach Expressions with Feedback About Broken Laws. - Oleg Sychev; Nikita Penskoy; Grigory Terekhov (SIGCSE (2), 2022)

Evaluation, Comparison and Monitoring of Multiparameter Systems by Unified Graphic Visualization of Activity Method on the Example of Learning Process. - Viktor A. Uglev; Oleg Sychev (Algorithms, 2022)

Optimal Greedy Control in Reinforcement Learning. - Alexander Gorobtsov; Oleg Sychev; Yulia Alexandrovna Orlova; Evgeniy Smirnov; Olga Grigoreva; Alexander Bochkin; Marina Andreeva (Sensors, 2022)

COVID-19 Response and Its Aftermath: Experience in Introducing Online Learning Technologies to Diverse Teaching Staff. - Elena Berisheva; Oleg Sychev; Marat Berishev; Tatyana Chudasova (ICCSA (Workshops 1), 2023)

Generating Pedagogical Questions to Help Students Learn. - Oleg Sychev; Marat Gumerov (ITS, 2023)

Synthesizing Didactic Explanatory Texts in Intelligent Tutoring Systems Based on the Information in Cognitive Maps. - Viktor A. Uglev; Oleg Sychev (ITS, 2023)

Interpreting Traces: Studying Misconceptions of Control Flow Statements. - Evgeny Fomichev; Elena Berisheva; Alexander Dvoryankin; Oleg Sychev (SIGCSE (2), 2023)

Using Transformer Models for Knowledge Graph Construction in Computer Science Education. - Alexander Katyshev; Anton Anikin 001; Oleg Sychev (SIGCSE (2), 2023)

Generation of Code Tracing Problems from Open-Source Code. - Oleg Sychev; Artem Prokudin; Mikhail Denisov (SIGCSE (1), 2023)

Method for Determining the Dominant Type of Human Breathing Using Motion Capture and Machine Learning. - Yulia Alexandrovna Orlova; Alexander Gorobtsov; Oleg Sychev; Vladimir L. Rozaliev; Alexander V. Zubkov; Anastasia Romanovna Donsckaia (Algorithms, 2023)

Embedding process knowledge in cyber-social systems on the example of cognitive tutor to teach scope. - Oleg Sychev; Andrey Sidor; Pavel Karpenko (J. Integr. Des. Process. Sci., 2023)

Questions for teaching phrase building with automatic feedback. - Oleg Sychev (Softw. Impacts, 2023)

Explain Trace: Misconceptions of Control-Flow Statements. - Oleg Sychev; Mikhail Denisov (Comput., 2023)

Learning problem generator for introductory programming courses>. - Artem Prokudin; Oleg Sychev; Mikhail Denisov (Softw. Impacts, 2023)

Open-answer question with regular expression templates and string completion hinting. - Oleg Sychev (Softw. Impacts, 2023)

Improving Efficiency of Natural-Language Text Generation for Automatic Pedagogical Questions. - Yulia Gomazkova; Oleg Sychev; Marat Gumerov (ICCSA (Workshops 2), 2024)

Detecting Function Inputs and Outputs for Learning-Problem Generation in Intelligent Tutoring Systems. - Kirill Kulyukin; Grigoriy Yakimov; Oleg Sychev (ITS (1), 2024)

Performing First-Order-Logic Queries Over RDF Data: Interpreter Versus Compiler to Apache Jena Rules. - Andrey Krygin; Pavel Karpenko; Oleg Sychev (NiDS, 2024)

Educational models for cognition: Methodology of modeling intellectual skills for intelligent tutoring systems. - Oleg Sychev (Cogn. Syst. Res., 2024)

Searching Questions and Learning Problems in Large Problem Banks: Constructing Tests and Assignments on the Fly. - Oleg Sychev (Comput., 2024)

Enhancing Intelligent Tutor for Program Element Scope Training: Lessons Learned. - Nikita Moskalenko; Andrey Sidor; Oleg Sychev (ITS (1), 2025)