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  • Осторожно, двери закрываются: (не)готовность работодателей рассматривать соискателей после окончания онлайн-курсов в IT-сфере
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News
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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Осторожно, двери закрываются: (не)готовность работодателей рассматривать соискателей после окончания онлайн-курсов в IT-сфере

Мониторинг общественного мнения: Экономические и социальные перемены. 2025. № 6(190). С. 178–198.
Popova A., Tyumeneva Y. A.

Despite the high demand for IT specialists and online courses for their training, little is known about how a candidate's basic education and age affect their employment. This study addressed two questions: 1) what is the employers' willingness to hire graduates of online courses for junior positions, and 2) whether this willingness differs for candidates of different ages. These questions are examined within a theoretical framework combining signaling theory and labor market discrimination theory. Specifically, a formal diploma and online certificates are analyzed as signals of different strength regarding a candidate's competence, while age and type of education are considered potential grounds for "taste-based" or statistical discrimination under incomplete information. Using a quasi-experiment, we compared the employment prospects in the IT sector for two hypothetical candidates without a basic technical education who completed online programming courses but belonged to different age groups. The results revealed low demand for graduates of online courses without a technical background and a strong bias in favor of younger candidates.

Research target: Social Sciences Psychology Education
Language: Russian
DOI
Text on another site
Keywords: рынок трудатрудоустройствоквазиэкспериментыонлайн-курсыIT-специалисты
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