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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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Что может предложить новая методология оценки мышления школьников современному образованию

Вопросы образования. 2021. № 4. С. 8–34.
Uglanova I., Погожина И. Н.

For the pedagogical principle of assigning comprehensible and adequate tasks to be implemented, allowance should be made for students’ individual levels of logical reasoning, which requires diagnostic measures for objective and quick assessment. Today, the “clinical method” allows the most comprehensive assessment of logical thinking within the Piagetian framework. However, this diagnostic measure is extremely resource-consuming, hence unsuitable for large-scale testing. An overview of literature shows that the existing standardized diagnostic measures require a great number of highly-qualified experts to review the scores and prepare feedback for teachers, instructional designers, practicing psychologists and researchers. The article describes design methodology of an instrument to evaluate levels of logical reasoning that will allow automated scoring without sacrificing score meaning, eventually facilitating and accelerating the diagnostic measurement procedure. Implementation of these principles is analyzed using the example of computerized performance-based assessment of scenario-based problem solving in the form of stealth assessment of fifth- and seventh-grade pupils.

Research target: Education Psychology
Language: Russian
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Keywords: critical thinkingкритическое мышлениедиагностикапсихометрикаpsychometrics logical thinkingлогическое мышлениеautomated scoringdiagnostic measurementformal operationslogical reasoningstealth assessmentПиажеавтоматическая обработка результатовзадания сценарного типаскрытое оценивание
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