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Regular version of the site
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.

Future Outlook

As its immediate objective, HSE sees the development of on-campus blended learning scheme to support a new model of the educational process. Transition to this new learning model at the undergraduate level implies general courses for first year students and minors in the second and third years, which are jointly studied by students from different programmes in large blocks. HSE’s decentralized campus and the limited number of large lecture rooms may cause logistical problems when holding classes for the second and third year students. Transition to a blended learning format when lectures are studied online and seminars are dedicated to discussions and practical work can be a good solution in this situation.

In 2018 HSE is planning to launch at least 10 new courses on the National Open Education Platform and at least 20 new courses on Coursera.

Another promising line of development related to eLearning that is actively promoted by HSE is the psychometric support of online courses. This is a set of services used to measure various characteristics of learners, course content and their interactions, analyse the collected data, interpret and visualize the results.

The purpose of such monitoring is to optimize eLearning process and to improve learner’s academic results through, for example:

1)  revealing any particular characteristics of individuals or groups of learners to take them into account in the educational process; 


2)  identifying learners who need more assistance and offering them prompt help; 


3)  evaluating difficulty, accessibility and other parameters of various parts of online courses to make improvements on the basis of this information; 


4)  identifying any unknown factors or clarifying the discovered factors which influence academic results. 


In addition to solving applied tasks, psychometric support focuses on finding links between analytical data and theories of education in order to not only predict an event, but also understand why it occurred. In the long view, course optimization based on new knowledge will allow to tap the full potential of eLearning.