Oleg Sychev

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 47

Top Topics

Intelligent Tutor

Tutoring System

Natural Language

Top Venues

Publications

Yulia Gomazkova, Oleg Sychev, Marat Gumerov
Improving Efficiency of Natural-Language Text Generation for Automatic Pedagogical Questions. ICCSA (Workshops 2) (2024)
Kirill Kulyukin, Grigoriy Yakimov, Oleg Sychev
Detecting Function Inputs and Outputs for Learning-Problem Generation in Intelligent Tutoring Systems. ITS (1) (2024)
Oleg Sychev
Searching Questions and Learning Problems in Large Problem Banks: Constructing Tests and Assignments on the Fly. Comput. 13 (6) (2024)
Oleg Sychev
Educational models for cognition: Methodology of modeling intellectual skills for intelligent tutoring systems. Cogn. Syst. Res. 87 (2024)
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) (2023)
Oleg Sychev
Questions for teaching phrase building with automatic feedback. Softw. Impacts 15 (2023)
Alexander Katyshev, Anton Anikin, Oleg Sychev
Using Transformer Models for Knowledge Graph Construction in Computer Science Education. SIGCSE (2) (2023)
Viktor A. Uglev, Oleg Sychev
Synthesizing Didactic Explanatory Texts in Intelligent Tutoring Systems Based on the Information in Cognitive Maps. ITS (2023)
Artem Prokudin, Oleg Sychev, Mikhail Denisov
Learning problem generator for introductory programming courses>. Softw. Impacts 17 (2023)
Oleg Sychev, Artem Prokudin, Mikhail Denisov
Generation of Code Tracing Problems from Open-Source Code. SIGCSE (1) (2023)
Oleg Sychev, Mikhail Denisov
Explain Trace: Misconceptions of Control-Flow Statements. Comput. 12 (10) (2023)
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)
Oleg Sychev, Marat Gumerov
Generating Pedagogical Questions to Help Students Learn. ITS (2023)
Evgeny Fomichev, Elena Berisheva, Alexander Dvoryankin, Oleg Sychev
Interpreting Traces: Studying Misconceptions of Control Flow Statements. SIGCSE (2) (2023)
Oleg Sychev
Open-answer question with regular expression templates and string completion hinting. Softw. Impacts 17 (2023)
Yaroslav Kamennov, Oleg Sychev, Yulia A. Orlova
Covering Possible Reasoning Errors for Intelligent Tutoring Systems: Order of Expression Evaluation Case. ITS (2022)
Oleg Sychev, Nikita Penskoy, Grigory Terekhov
Using Software Reasoning to Determine Domain-law Violations and Provide Explanatory Feedback: Expressions Tutor Example. CSEDU (1) (2022)
Oleg Sychev
Write a Line: Tests with Answer Templates and String Completion Hints for Self-Learning in a CS1 Course. ICSE (SEET) (2022)
Oleg Sychev, Yaroslav Kamennov
Grading Mastery: Calculating Grades from Domain-Law Violations. SIGCSE (2) (2022)
Alexander Gorobtsov, Oleg Sychev, Yulia Alexandrovna Orlova, Evgeniy Smirnov, Olga Grigoreva, Alexander Bochkin, Marina Andreeva
Optimal Greedy Control in Reinforcement Learning. Sensors 22 (22) (2022)
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) (2022)
Oleg Sychev, Nikita Penskoy, Grigory Terekhov
A Tool to Teach Expressions with Feedback About Broken Laws. SIGCSE (2) (2022)
Oleg Sychev
Write a Line: Tests with Answer Templates and String Completion Hints for Self-Learning in a CS1 Course. CoRR (2022)
Artem Prokudin, Mikhail Denisov, Oleg Sychev
Disk Space Consumption by Triple Storage Systems. NiDS (2022)
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)
Dmitry Litovkin, Anton Anikin, Kirill Kulyukin, Oleg Sychev
Intelligent Tutor for Designing Function Interface in a Programming Language. ITS (2022)
Oleg Sychev
From Question Generation to Problem Mining and Classification. ICALT (2022)
Oleg Sychev, Nikita Penskoy, Artem Prokudin
Generating Expression Evaluation Learning Problems from Existing Program Code. ICALT (2022)
Oleg Sychev
CorrectWriting: Open-Ended Question with Hints for Teaching Programming-Language Syntax. ITiCSE (Working Group Reports) (2021)
Oleg Sychev, Mikhail Denisov, Grigory Terekhov
How it Works: Algorithms - A Tool for Developing an Understanding of Control Structures. ITiCSE (Working Group Reports) (2021)
Anton Anikin, Oleg Sychev, Mikhail Denisov
Ontology Reasoning for Explanatory Feedback Generation to Teach How Algorithms Work. NiDS (2021)
Viktor A. Uglev, Oleg Sychev
Concentrating Competency Profile Data into Cognitive Map of Knowledge Diagnosis. Diagrams (2021)
Viktor A. Uglev, Oleg Sychev
Creating and Visualising Cognitive Maps of Knowledge Diagnosis During the Processing of Learning Digital Footprint. ITS (2021)
Oleg Sychev, Anton Anikin, Grigory Terekhov
Demonstrating Concepts Through Visual Simulators: Two Cases in the Programming Domain. VL/HCC (2021)
Oleg Sychev, Anton Anikin, Mikhail Denisov
Inference Engines Performance in Reasoning Tasks for Intelligent Tutoring Systems. ICCSA (2) (2021)
Elena Novozhenina, Oleg Sychev, Olga Toporkova, Oksana Evtushenko
Teaching English Word Order with CorrectWriting Software. ICCSA (3) (2021)
Oleg Sychev
Visualizing Program State as a Clustered Graph for Learning Programming. Diagrams (2021)
Mikhail Denisov, Anton Anikin, Oleg Sychev
Dynamic Flowcharts for Enhancing Learners' Understanding of the Control Flow During Programming Learning. Diagrams (2021)
Oleg Sychev, Anton Anikin, Nikita Penskoy, Mikhail Denisov, Artem Prokudin
CompPrehension - Model-Based Intelligent Tutoring System on Comprehension Level. ITS (2021)
Oleg Sychev, Mikhail Denisov, Anton Anikin
Verifying algorithm traces and fault reason determining using ontology reasoning. ISWC (Demos/Industry) (2020)
Oleg Sychev
Combining neural networks and symbolic inference in a hybrid cognitive architecture. BICA (2020)
Oleg Sychev, Nikita Penskoy
Ontology-based determining of Evaluation Order of C expressions and the Fault Reason for Incorrect Answers. ISWC (Demos/Industry) (2020)
Oleg Sychev, Anton Anikin, Artem Prokudin
Automatic grading and hinting in open-ended text questions. Cogn. Syst. Res. 59 (2020)
Oleg Sychev, Anton Anikin, Artem Prokudin
Methods of Determining Errors in Open-Ended Text Questions. BICA (2019)
Oleg Sychev, Yaroslav Kamennov, Ekaterina Shurlaeva
Approach to Automatic Determining of Speakers of Direct Speech Fragments in Natural Language Texts. BICA (2019)
Anton Anikin, Oleg Sychev
Ontology-Based Modelling for Learning on Bloom's Taxonomy Comprehension Level. BICA (2019)
Anton Anikin, Oleg Sychev
Semantic treebanks and their uses for multi-level modelling of natural-language texts. BICA (2018)
Oleg Sychev, Dmitry Mamontov
Determining token sequence mistakes in responses to questions with open text answer CoRR (2013)