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May 22, 2026
HSE Graduates AI Project Wins at TECH & AI Awards
Daria Davydova, graduate of the HSE Graduate School of Business and Head of the AI Implementation Unit at the Artificial Intelligence Department of Alfa-Bank, received a prize at the TECH & AI Awards. She was awarded for the best AI solution for optimising business processes. The winners were determined as part of the VII Russian Summit and Awards on Digital Transformation (CDO/CDTO Summit & Awards).
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Harm not only females: math-gender stereotypes and engagement of engineering students at Russian universities

European Journal of Engineering Education. 2022. Vol. 47. No. 6. P. 1197–1215.
Maloshonok N.

This paper explores the associations between math-gender stereotypes and two dimensions of student engagement – class engagement and disengagement – among Russian engineering students. The data collected in three Russian universities (n = 2,074) were utilised. Structural equation modelling was employed to test hypotheses about relationships between key variables and their variations for male and female subsamples. We revealed that the students’ attribution of math-gender stereotypes to faculty slightly decreased class engagement and increased disengagement for both male and female students. Therefore, we hypothesise that male students can be more overconfident about their future performance in exams on math-related subjects because of a better reputation in the eyes of instructors, which can result in less engagement and, as a consequence, lower academic outcomes. These findings demonstrate the high importance of faculty in encouraging engineering student engagement and providing a bias-free learning environment.

Research target: Education Sociology (including Demography and Anthropology
Language: English
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Keywords: higher educationmath-gender stereotypesclass engagementdisengagementmultithreat theory
Publication based on the results of:
Educational environment and student experience in higher education (2022)
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