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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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?

Approach to development of assignments with graphical solutions for MOOC course

P. 666–667.
Korolev D., Gorokhova-Alekseyeva A., Витшас А. А., Плешкова А. О.

Assessment tools in MOOCs vary from simple tests to customizable scripts with adaptive feedback, but commonly they check student's submission for correct answer. In real life we often meet cases where many correct answers are possible and the best solution requires good feeling of the context of implementation. This paper describes an approach experimentally implemented for online course of video technologies where engineering tasks are often based on real-life experience, not just specifications and rules. To transfer this experience a multi-layer model of assessment was proposed and partly implemented in experimental tasks. This example shows how assessment tool turns out a training platform where technically correct solution is just a start of work and variable feedback leads students to understanding of engineering approach, given by the author of the tasks.

Language: English
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Keywords: trainingassessmentMOOCvideo technologiesvariable feedbackautomated submission processing

In book

Proceedings of the 2017 International Conference "Quality Management,Transport and Information Security, Information Technologies" (IT&QM&IS)
Proceedings of the 2017 International Conference "Quality Management,Transport and Information Security, Information Technologies" (IT&QM&IS)
St. Petersburg: IEEE, 2017.
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