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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.

Psychometric Research

Is it possible to assess the effectiveness of eLearning processes? Can online courses win the confidence of students and teachers the same way as face-to-face lectures? Is it possible to enhance the diagnostic value of online exams?

These and many other issues are considered by the HSE Centre for Psychometric Research in eLearning. Launched as part of the HSE eLearning Office in 2016, the Centre was the first institute in Russia to analyze psychometric problems in online education. 

The Centre’s specialists carry out statistical and psychometric evaluations of online courses, as well as develop new analytical instruments. They also work in close collaboration with teachers and course authors so that they can make courses clearer and more effective for students. 

One of the Centre’s innovations includes automatic psychometric analysis service, which was developed at the request of the Russian Ministry of Education and Science under the auspices of the ‘Modern Digital Educational Environment in the Russian Federation’ project. This service can automatically analyze results according to four criteria: difficulty of content, student's abilities, student's comprehension of course content, and analysis of evaluation materials. Thanks to this service, course authors now not only receive feedback from learners, but also recommendations on how to improve course contents and delivery. 

For instance, the Centre’s researchers have also worked up a psychometric model, which can identify course learners, who might try to cheat (e.g., try to guess test answers).

In addition to applied tasks in online education, the Centre's team strives to promote psychometrics as an academic field and present their research results at Russian and international events. The Centre's Head, Dmitry Abbakumov, became the first researcher to give a presentation about Russian psychometric science at the International Conference of the Psychometric Society held in 2018 at Columbia University (New York, USA).