Thesis supervisor: Gábor Fazekas
Location of studies (in Hungarian): Debreceni Egyetem Informatikai Kar Abbreviation of location of studies: DE IK
Description of the research topic:
Quality is one of the most decisive factors determining the future of e-learning. The currently available e-learning systems can provide a lot of sophisticated services but fail in providing a full covered quality assurance of teaching materials and exams tests. Our main aim first is the detailed logging of all students and teachers activities, which can make it possible for us to formulate adequate assertions concerning the quality and performance of learning and examination process. We do not want to develop a brand new system, following [4] we only try to base on existing open source systems like "MOODLE-M" as an electronic learning environment and, the "System R" for statistical analysis. In this research, we focus on the main challenges and research problems of this project.
Bibliography
[1] Karapetrovic, Stanislav, Rajamani, Divakar, An approach to the application of statistical quality control techniques in engineering courses, Int. Journal of Engineering, July 1998.
[2] Grygoryev, Konstantin, Karapetrovic, Stanislav, An integrated system for education performance measurement, modeling and management at the classroom level, The TQM Magazine, Vol.17 No2, 2005. pp. 121-136.
[3] U-D. Ehlers, J.M. Pawlowski, (eds.), Handbook on Quality and Standardization in E-Learning, Springer Verlag, Berlin, Heidelberg, 2006.
[4] Fazekas G., Ispány M, Juhász I, Kis B., Elekronikus oktatási környezetek minőségbiztosíıtási modelljei, Informatika a felsőoktatásban, Aug. 27-29. 2008, Deb recen, proceedings, Debrecen, 2008.
[5] Anna K. Fazekas, Gabor Fazekas, Magda Varteresz, An SQC based model for the quality improvement of computer aided teaching, Abstracts MaCS’12, Zoltan Csörnyei (ed.) , ELTE, Budapest, 9.2.2012, p.37.
Recommended language skills (in Hungarian): angol Number of students who can be accepted: 1
Login
