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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.
July 24, 2026
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Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.

 

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Comparative Analysis of Students’ Perceptions of Programming Puzzles: Parson’s and Wordle-Like

IEEE Access. 2026. Vol. 14. P. 37487–37508.
Varnavsky A.

Puzzles are an excellent tool for learning computer science and programming, fostering increased interest, engagement, and motivation among students, as well as developing logical, critical, and computational thinking. Among beginner programmers, Parson's Programming Puzzles are quite popular, aimed at mastering the basic syntactic and logical constructs of programming languages. However, as students' skills grow, their interest in Parson's puzzles may decline. In such cases, it is necessary to use other types of puzzles. Word puzzles contribute to the development of vocabulary, working memory, and other cognitive abilities, making them useful supplements to the learning process. We adapted the game "Wordle" and created Wordle-like Programming Puzzles. These puzzles were deployed on a chatbot system. The study focuses on a comparative analysis of students' perception of Wordle-like Programming Puzzles and Parson's Programming Puzzles in terms of interest, difficulty, and usefulness. The experiment was conducted among first-year university students studying the Python programming language. Using the elbow method, we identified four clusters. In each of the clusters we analyzed the interest, difficulty, and perceived usefulness of the puzzles, as well as the students' background and current academic performance. Our results showed that students' backgrounds significantly influence their perception of both PP and WP. Students with low programming skills level tend to show greater interest in PP, while students with high skills level prefer WP. We also noted that in clusters where there is a high interest in WP, the level of interest in PP is generally low, and vice versa. Overall, the perception scores for WP were higher than those for PP.

Research target: Computer Science Education
Language: English
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Text on another site
Keywords: serious gamesсерьезные игрычат-ботыchatbotsWordleWordle-like programming puzzlesParson’s programming puzzlesГоловоломки Парсонса
Publication based on the results of:
Разработка и исследование эффективности использования виртуального игрового педагогического агента для обучения программированию и развития навыков hard и soft skills (2022)
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