Oleg Sychev

According to our database, Oleg Sychev authored at least 47 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Searching Questions and Learning Problems in Large Problem Banks: Constructing Tests and Assignments on the Fly.

Oleg Sychev

Comput., June, 2024

Educational models for cognition: Methodology of modeling intellectual skills for intelligent tutoring systems.

Oleg Sychev

Cogn. Syst. Res., 2024

Detecting Function Inputs and Outputs for Learning-Problem Generation in Intelligent Tutoring Systems.

Kirill Kulyukin, Grigoriy Yakimov, Oleg Sychev

Proceedings of the Generative Intelligence and Intelligent Tutoring Systems, 2024

Improving Efficiency of Natural-Language Text Generation for Automatic Pedagogical Questions.

Yulia Gomazkova, Oleg Sychev, Marat Gumerov

Proceedings of the Computational Science and Its Applications - ICCSA 2024 Workshops, 2024

2023

Open-answer question with regular expression templates and string completion hinting.

Oleg Sychev

Softw. Impacts, September, 2023

Learning problem generator for introductory programming courses>.

Artem Prokudin, Oleg Sychev, Mikhail Denisov

Softw. Impacts, September, 2023

Explain Trace: Misconceptions of Control-Flow Statements.

Oleg Sychev, Mikhail Denisov

Comput., September, 2023

Questions for teaching phrase building with automatic feedback.

Oleg Sychev

Softw. Impacts, March, 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

Generation of Code Tracing Problems from Open-Source Code.

Oleg Sychev, Artem Prokudin, Mikhail Denisov

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

Using Transformer Models for Knowledge Graph Construction in Computer Science Education.

Alexander Katyshev, Anton Anikin, Oleg Sychev

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Interpreting Traces: Studying Misconceptions of Control Flow Statements.

Evgeny Fomichev, Elena Berisheva, Alexander Dvoryankin, Oleg Sychev

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Synthesizing Didactic Explanatory Texts in Intelligent Tutoring Systems Based on the Information in Cognitive Maps.

Viktor A. Uglev, Oleg Sychev

Proceedings of the Augmented Intelligence and Intelligent Tutoring Systems, 2023

Generating Pedagogical Questions to Help Students Learn.

Oleg Sychev, Marat Gumerov

Proceedings of the Augmented Intelligence and Intelligent Tutoring Systems, 2023

COVID-19 Response and Its Aftermath: Experience in Introducing Online Learning Technologies to Diverse Teaching Staff.

Elena Berisheva, Oleg Sychev, Marat Berishev, Tatyana Chudasova

Proceedings of the Computational Science and Its Applications - ICCSA 2023 Workshops, 2023

2022

Optimal Greedy Control in Reinforcement Learning.

Alexander Gorobtsov, Oleg Sychev, Yulia Alexandrovna Orlova, Evgeniy Smirnov, Olga Grigoreva, Alexander Bochkin, Marina Andreeva

Sensors, 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

A Tool to Teach Expressions with Feedback About Broken Laws.

Oleg Sychev, Nikita Penskoy, Grigory Terekhov

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Grading Mastery: Calculating Grades from Domain-Law Violations.

Oleg Sychev, Yaroslav Kamennov

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Disk Space Consumption by Triple Storage Systems.

Artem Prokudin, Mikhail Denisov, Oleg Sychev

Proceedings of the Novel & Intelligent Digital Systems: Proceedings of the 2nd International Conference, 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

Proceedings of the Intelligent Tutoring Systems - 18th International Conference, 2022

Intelligent Tutor for Designing Function Interface in a Programming Language.

Dmitry Litovkin, Anton Anikin, Kirill Kulyukin, Oleg Sychev

Proceedings of the Intelligent Tutoring Systems - 18th International Conference, 2022

Covering Possible Reasoning Errors for Intelligent Tutoring Systems: Order of Expression Evaluation Case.

Yaroslav Kamennov, Oleg Sychev, Yulia Alexandrovna Orlova

Proceedings of the Intelligent Tutoring Systems - 18th International Conference, 2022

Write a Line: Tests with Answer Templates and String Completion Hints for Self-Learning in a CS1 Course.

Oleg Sychev

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training, 2022

Generating Expression Evaluation Learning Problems from Existing Program Code.

Oleg Sychev, Nikita Penskoy, Artem Prokudin

Proceedings of the International Conference on Advanced Learning Technologies, 2022

From Question Generation to Problem Mining and Classification.

Oleg Sychev

Proceedings of the International Conference on Advanced Learning Technologies, 2022

Using Software Reasoning to Determine Domain-law Violations and Provide Explanatory Feedback: Expressions Tutor Example.

Oleg Sychev, Nikita Penskoy, Grigory Terekhov

Proceedings of the 14th International Conference on Computer Supported Education, 2022

2021

Demonstrating Concepts Through Visual Simulators: Two Cases in the Programming Domain.

Oleg Sychev, Anton Anikin, Grigory Terekhov

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2021

Ontology Reasoning for Explanatory Feedback Generation to Teach How Algorithms Work.

Anton Anikin, Oleg Sychev, Mikhail Denisov

Proceedings of the Novelties in Intelligent Digital Systems - Proceedings of the 1st International Conference (NiDS 2021), Athens, Greece, September 30, 2021

Creating and Visualising Cognitive Maps of Knowledge Diagnosis During the Processing of Learning Digital Footprint.

Viktor A. Uglev, Oleg Sychev

Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

CompPrehension - Model-Based Intelligent Tutoring System on Comprehension Level.

Oleg Sychev, Anton Anikin, Nikita Penskoy, Mikhail Denisov, Artem Prokudin

Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

How it Works: Algorithms - A Tool for Developing an Understanding of Control Structures.

Oleg Sychev, Mikhail Denisov, Grigory Terekhov

Proceedings of the ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.2, Virtual Event, Germany, June 26, 2021

CorrectWriting: Open-Ended Question with Hints for Teaching Programming-Language Syntax.

Oleg Sychev

Proceedings of the ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.2, Virtual Event, Germany, June 26, 2021

Inference Engines Performance in Reasoning Tasks for Intelligent Tutoring Systems.

Oleg Sychev, Anton Anikin, Mikhail Denisov

Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

Teaching English Word Order with CorrectWriting Software.

Elena Novozhenina, Oleg Sychev, Olga Toporkova, Oksana Evtushenko

Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

Concentrating Competency Profile Data into Cognitive Map of Knowledge Diagnosis.

Viktor A. Uglev, Oleg Sychev

Proceedings of the Diagrammatic Representation and Inference, 2021

Visualizing Program State as a Clustered Graph for Learning Programming.

Oleg Sychev

Proceedings of the Diagrammatic Representation and Inference, 2021

Dynamic Flowcharts for Enhancing Learners' Understanding of the Control Flow During Programming Learning.

Mikhail Denisov, Anton Anikin, Oleg Sychev

Proceedings of the Diagrammatic Representation and Inference, 2021

2020

Automatic grading and hinting in open-ended text questions.

Oleg Sychev, Anton Anikin, Artem Prokudin

Cogn. Syst. Res., 2020

Ontology-based determining of Evaluation Order of C expressions and the Fault Reason for Incorrect Answers.

Oleg Sychev, Nikita Penskoy

Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020

Verifying algorithm traces and fault reason determining using ontology reasoning.

Oleg Sychev, Mikhail Denisov, Anton Anikin

Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020

Combining neural networks and symbolic inference in a hybrid cognitive architecture.

Oleg Sychev

Proceedings of the 2020 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, 2020

2019

Approach to Automatic Determining of Speakers of Direct Speech Fragments in Natural Language Texts.

Oleg Sychev, Yaroslav Kamennov, Ekaterina Shurlaeva

Proceedings of the Biologically Inspired Cognitive Architectures 2019, 2019

Methods of Determining Errors in Open-Ended Text Questions.

Oleg Sychev, Anton Anikin, Artem Prokudin

Proceedings of the Biologically Inspired Cognitive Architectures 2019, 2019

Ontology-Based Modelling for Learning on Bloom's Taxonomy Comprehension Level.

Anton Anikin, Oleg Sychev

Proceedings of the Biologically Inspired Cognitive Architectures 2019, 2019

2018

Semantic treebanks and their uses for multi-level modelling of natural-language texts.

Anton Anikin, Oleg Sychev

Proceedings of the Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, 2018

2013

Determining token sequence mistakes in responses to questions with open text answer

Oleg Sychev, Dmitry Mamontov

CoRR, 2013