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2020 – today
- 2023
[j2]Oleg Sychev
, Mikhail Denisov:
Explain Trace: Misconceptions of Control-Flow Statements. Comput. 12(10): 192 (2023)- [j1]Artem Prokudin, Oleg Sychev, Mikhail Denisov:
Learning problem generator for introductory programming courses>. Softw. Impacts 17: 100519 (2023) - [c8]Oleg Sychev, Artem Prokudin, Mikhail Denisov:
Generation of Code Tracing Problems from Open-Source Code. SIGCSE (1) 2023: 875-881 - 2022
- [c7]Artem Prokudin, Mikhail Denisov, Oleg Sychev:
Disk Space Consumption by Triple Storage Systems. NiDS 2022: 266-275 - 2021
- [c6]Mikhail Denisov, Anton Anikin, Oleg Sychev:
Dynamic Flowcharts for Enhancing Learners' Understanding of the Control Flow During Programming Learning. Diagrams 2021: 408-411 - [c5]Oleg Sychev, Anton Anikin, Mikhail Denisov:
Inference Engines Performance in Reasoning Tasks for Intelligent Tutoring Systems. ICCSA (2) 2021: 471-482 - [c4]Oleg Sychev, Mikhail Denisov, Grigory Terekhov:
How it Works: Algorithms - A Tool for Developing an Understanding of Control Structures. ITiCSE (2) 2021: 621-622 - [c3]Oleg Sychev, Anton Anikin, Nikita Penskoy, Mikhail Denisov, Artem Prokudin:
CompPrehension - Model-Based Intelligent Tutoring System on Comprehension Level. ITS 2021: 52-59 - [c2]Anton Anikin, Oleg Sychev, Mikhail Denisov:
Ontology Reasoning for Explanatory Feedback Generation to Teach How Algorithms Work. NiDS 2021: 239-244 - 2020
- [c1]Oleg Sychev, Mikhail Denisov, Anton Anikin:
Verifying algorithm traces and fault reason determining using ontology reasoning. ISWC (Demos/Industry) 2020: 49-54
Coauthor Index
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