Vol.8, No.3, August 2019.                                                                                                                                                                                ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science


Toward a Learning Analytics System in Bulgarian Higher Education Institutions


Silvia Gaftandzhieva, Rositsa Doneva


© 2019 Silvia Gaftandzhieva, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 8, Issue 3, Pages 1058-1062, ISSN 2217-8309, DOI: 10.18421/TEM83-51, August 2019.


Received: 27 May 2019.

Revised:   21 July 2019.
Accepted: 31 July 2019.
Published:28 August 2019.




The paper presents a study in the area of Learning Analytics – a scientific field that is still in a relatively early stage of study in Bulgaria. The study aims to offer, develop and test software tools for Learning Analytics that will improve the learning outcomes in the field of higher education. Using data mining methods for analysis the data produced in the learning process (extracted from different data sources), intelligent software tools will be developed to improve the quality of outcomes in different elements of the learning process (learning, teaching, monitoring, etc.), and for the needs of different stakeholder groups.


Keywords – Higher Education, University Information Systems, Data Extraction, Intelligence Systems, Learning Analytics.



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