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  • Моделирование компетенции в технологиях цифрового образования Ч.1.
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August 17, 2026
‘I Dream of Simple Things
Anastasia Gergenreter specialises in applied statistics and econometrics. In this interview for the Young Scientists of HSE University project, she talked about why she studies addictive substance use, two very different Fishers, and the cherry blossom season at the Main Botanical Garden in Moscow.
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.

 

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Моделирование компетенции в технологиях цифрового образования Ч.1.

Инновации. 2018. № 1. С. 64–71.
Башмаков А. И., Starykh V.

The article presents the guidelines of the competency modeling methodology invariant to subject domain, type of activities and psycho-pedagogical platform. The core of this methodology is systematics of the expandable metamodels adaptable to application conditions by profiling mechanism. The methodology is aimed at creating conditions for interoperability of systems and services that make up a digital education, dealing with competency description due to possibility of flexible selection of such interaction level, good information structuring and formalization, selection of competency description units repeatedly used in various contexts, as well as ontological approach. One more purpose of the methodology is preparation of grounds for realization of smart features of digital education technologies: adaptation, inferring, self-learning, anticipation.

Research target: Computer Science Education Economics and Management
Priority areas: economics
Language: Russian
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Keywords: онтологияontologyэлектронное обучениеметамодельmetamodelцифровизацияdigitalizationединица компетенциимоделирование компетенцииcompetency unitcompetency modelingdigital educationцифровое образование
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