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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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Competitiveness Management of Teacher Training Universities as Part of Higher Education Internationalization Process

P. 1371–1380.
Karakozov S., Denis P. Ananin

The problem of increasing the levels of competitiveness among teacher training universities in Russia is becoming more and more relevant as Russian education emerges on the international arena. As a result, export of Russian educational services becomes an opportunity that requires seizing. This research paper examines the specificities of internationalization among teacher training universities in Russia as well as the factors that constitute the development of their competitiveness strategy. The paper uses Michael Porter’s “diamond model” as the basis for investigating competitiveness. The “diamond model” includes four attributes: factor conditions; domestic demand conditions; related and supporting industries; firm strategy, structure and rivalry. Along with the methods of theoretical analysis, these elements are used in measuring efficiency of Russian teacher training universities against the background of internationalization process. This paper describes the distinctive features of internationalization of education and science in Russian universities and analyzes directions of internationalization as seen in activities of Moscow State Pedagogical University and Altai State Pedagogical University, the two institutions used as representatives of the core-periphery model. The stages of competitive development from Michael Porter’s diamond model are adapted for teacher training universities. Based on the adapted data, a set of recommendations is drawn up for developing a competitiveness strategy. The results of the research allow teacher training universities to create a roadmap for developing competitiveness in accordance with their existing potential, resources and specific character of their activities.

Language: English
DOI
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Keywords: management of competitivenessinternationalization of higher educationhigher education exportteacher training universityPorter diamond model

In book

ARPHA Proceedings V International Forum on Teacher Education
Issue 1: V International Forum on Teacher Education. , Pensoft Publishers, 2019.
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