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News
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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Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.

 

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On mind maps evaluation: a case of an automatic grader development

P. 210–221.
Maksimenkova O. V., Neznanov A., Papushina I. O., Parinov A.

Nowadays, mind mapping is a rather popular educational technique. Moreover, mind maps became a part of modern educational trends like blended learning and computer-supported collaborative learning. Lots of mind mapping software tools are adopted to teaching and learning routines such as educational content delivery or assessment. This paper focuses on the additional automatic evaluation of digital educational mind maps gained from the existing procedures of assessments. The review of automatic graders which support the evaluation process demonstrated that some systematical work is done in automation grading by comparing students’ mind maps with a template. But lots of questions about automatic mind maps’ scoring by retrieving the data from a scored mind map are still open. This paper introduces the automatic grader for educational mind maps (AGEMM) which acts like a teacher’s assistant and calculates several quantitative metrics. The AGEMM is implemented as a web-service and interacted with digital mind maps prepared in the Coggle web-service through its API. The AGEMM is adopted to the Scientific Research Seminar of “Marketing” bachelor program in National Research University Higher School of Economics (Perm). Results demonstrate that scores from the AGEMM may be transformed to scales or criterial levels which are used to evaluation. Moreover, the AGEMM application revealed several problems and shew lines of development which we discuss in the paper.

Language: English
DOI
Text on another site
Keywords: educationcollaborationsoftwareevaluation e-gradingdigital mind maps
Publication based on the results of:
Well-interpretable Methods of Knowledge Discovery and Knowledge Representation (2018)

In book

Advances in Intelligent Systems and Computing. ICL 2017: Teaching and Learning in a Digital World
[б.и.], 2018.
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