USING DATA MINING IN E-LEARNING -A GENERIC FRAMEWORK FOR MILITARY EDUCATION Cover Image

USING DATA MINING IN E-LEARNING -A GENERIC FRAMEWORK FOR MILITARY EDUCATION
USING DATA MINING IN E-LEARNING -A GENERIC FRAMEWORK FOR MILITARY EDUCATION

Author(s): Elena Şuşnea
Subject(s): Education
Published by: Carol I National Defence University Publishing House
Keywords: e-learning; data mining

Summary/Abstract: In the last years, the development of interactive learning environments, learning management systems (LMS), and intelligent support systems, has allowed the collection of huge amounts of data. However, e-learning databases often are large, heterogeneous and complex. In this context, one of the biggest challenges that e-learning systems face today is to extract knowledge from e-learning database through the analysis of the information available in the form of data generated by their users (students, teachers, other persons). Educational institutions can use data mining to extracts the relevant, useful, valid and actionable information from e-learning databases. Data mining can analyze educational data from different perspectives and summarize it into useful information for learners, teachers and their educational institutions. Thereby, it will become a powerful means to improve performance of the education system. In this paper, we study the capabilities of data mining in the context of military educational system, by proposing an analytical guideline for students, teachers, and decision-makers to enhance their current activities. The managerial decision making process becomes more complex as the complexity of educational entities increase and international security environment. Educational institute seeks more efficient technology to better manage and support decision making procedures or assist them to set new strategies and plan for a better management of the current processes. One way to effectively address the challenges for improving the quality is to provide new knowledge related to the educational processes and entities to the managerial system. This knowledge can be extracted from historical and operational data that reside in the educational organization's databases using the techniques of data mining technology.

  • Issue Year: 9/2013
  • Issue No: 01
  • Page Range: 411-415
  • Page Count: 5
  • Language: English