THE POSSIBILITY OF EDUCATIONAL DATA MINING FOR PRACTICAL SKILLS DEVELOPMENT IN LEARNING MANAGEMENT SYSTEM

Authors

  • Jelena Mamčenko Vilnius College of Technologies and Design
  • Inga Piščikienė Vilnius College of Technologies and Design
  • Brigita Šustickienė Vilnius College of Technologies and Design
  • Irma Šileikienė Vilnius Gediminas Technical University

DOI:

https://doi.org/10.17770/sie2016vol2.1420

Keywords:

Blended Learning, Educational Data Mining, Practical skills, Virtual Learning Environment, Web Mining

Abstract

The paper presents comprehensive study of applicability of Moodle virtual learning environment to the development of practical skills. The quantitative research involved faculty students and  lecturers of Vilnius College of Technologies and Design. Data analysis indicated that currently the most beneficial method to develop practical skills is blended method. This result, however, turned out to be more positive for students than for lecturers, the latter being less willing to employ technology alongside traditional classroom. The article also briefly describes data mining technologies that are often employed to plan study process, as well as depicts data flows and action sequence of the future survey. The study also puts forward recommendations for further research.

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Author Biographies

  • Jelena Mamčenko, Vilnius College of Technologies and Design
    Petras Vileishis Railway Transport Faculty
  • Inga Piščikienė, Vilnius College of Technologies and Design
    Petras Vileishis Railway Transport Faculty
  • Brigita Šustickienė, Vilnius College of Technologies and Design
    Petras Vileishis Railway Transport Faculty
  • Irma Šileikienė, Vilnius Gediminas Technical University
    Faculty of Fundamental Sciences

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Published

2016-05-26

How to Cite

Mamčenko, J., Piščikienė, I., Šustickienė, B., & Šileikienė, I. (2016). THE POSSIBILITY OF EDUCATIONAL DATA MINING FOR PRACTICAL SKILLS DEVELOPMENT IN LEARNING MANAGEMENT SYSTEM. SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference, 2, 558-568. https://doi.org/10.17770/sie2016vol2.1420