Quality Assurance in Distance Education through Data Mining

Authors

DOI:

https://doi.org/10.46328/ijtes.396

Keywords:

Distance education, Data mining, Learning analytics, Quality improvement

Abstract

Learning Management Systems (LMS) are software applications that facilitate the management and monitoring of online teaching courses and/or training programs, workshops, webinars, forums, and other similar learning activities. The LMS provides learning and teaching benefits and possibilities for synchronous, asynchronous, and hybrid training. For instance, learning management systems (LMS) can store a wide variety of large-scale educational data. The stored data can be analyzed by employing educational data mining methods. Educational data mining (EDM) is a new discipline that deals with methods for exploring the unique and large-scale data generated by digital platforms to better understand students’ learning progress and the learning environment itself. In this study, the data stored in the LMS used by Balıkesir University during the fall semester of the 2021–2022 academic year were analyzed by using educational data mining methods in order to reveal the current status of distance education activities and make suggestions to improve the quality.

Author Biographies

Mustafa Tuncay Sarıtaş, Balikesir University

Dr. Tuncay Sarıtaş is working at the department of Computer Education and Instructional Technology, Faculty of Education, Balikesir University. He is also the Director of Distance Education Application and Research Center. He holds a Master’s degree Instructional Systems Technology from Indiana University, and a doctorate degree in Instructional Technology from Iowa State University. He has been actively working as an expert and evaluator of European Union Projects (Centralized Projects) and The Scientific and Technological Research Council of Turkey. His research includes ICT-enriched applications, learning/training strategies, technology design, quality improvement and management in different training contexts, and creative strategies based on instructional technology.

Caner Börekci, Balıkesir University

Caner Börekci https://orcid.org/0000-0001-5749-2294Balıkesir University Research Center for Distance LearningDinkçiler District, Soma Street Nef Campus 10100 Altıeylül / BalıkesirTürkiyeContact e-mail: caner.borekci@balikesir.edu.tr

Samet Demirel, Balıkesir University R

Samet Demirel https://orcid.org/0000-0002-7531-1124Balıkesir University Research Center for Distance LearningDinkçiler District, Soma Street Nef Campus 10100 Altıeylül / BalıkesirTürkiyeContact e-mail: sametdemirel@balikesir.edu.tr

References

Sarıtaş, M. T., Börekci, C., & Demirel, S. (2022). Quality assurance in distance education through data mining. International Journal of Technology in Education and Science (IJTES), 6(3), 443-457. https://doi.org/10.46328/ijtes.396

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Published

2022-08-26

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Section

Articles