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Regular version of the site
Book
eLearning Stakeholders and Researchers Summit 2018: Материалы международной конференции

Edited by: Е. Ю. Кулик

М.: Национальный исследовательский университет "Высшая школа экономики", 2018.

Article
Measuring student’s proficiency in MOOCs: Multiple attempts extensions for the Rasch model

Abbakumov D., Desmet P., Van den Noortgate W.

Heliyon. 2018. Vol. 4. No. 12. P. 1-15.

Book chapter
Integrating MOOCs in University Curriculum: HSE University Experience

Kulik E., Kidimova K. A.

In bk.: Proceedings of Work in Progress Papers of the Experience and Research Tracks and Position Papers of the Policy Track at EMOOCs 2017. CEUR Workshop Proceedings, 2017. P. 118-127.

Book
eLearning Stakeholders and Researchers Summit 2017. Материалы международной конференции

Edited by: Е. Ю. Кулик, У. Кускин

М.: Национальный исследовательский университет "Высшая школа экономики", 2017.

Social and Cultural Aspects of Shaping Information and Academic Environment

The HSE eLearning Office carries out in-depth research, which delves into education, information technologies and cultural/national customs and traits. One of its most innovative areas of study is research into the cross-cultural aspects of introducing and using information and other technologies for online learning in an academic environment.

Researchers study the influence of the socio-cultural elements on the development and operations of online education systems. For instance, what cultural or national traits of participants from different countries have an impact on the educational process? How does this affect the specifics of academic content or students’ academic trajectories? What are the specifics of communication in student-teacher relations in such systems? How does online technology solve educational issues in a multicultural learning environment? 

In their research, the Centre’s specialists consider problems in terms of the design of the information environment, as well as issues relating to instructing a largely multinational audience. In addition, they consider the development of algorithms used to predict the actions and behaviour of online course participants.  

The Centre’s research findings are shared with the global academic community. This information and knowhow are used to find solutions to practical issues related to eLearning. For instance, analysis of online course data can help specialists forecast future user behaviour or potential demand for certificates.