KNOWLEDGE DATABASES FOR E-LEARNING SYSTEMS
KNOWLEDGE DATABASES FOR E-LEARNING SYSTEMS

Summary/Abstract: Technological developments in areas such as databases and advanced data analysis techniques, but not only are directly reflected in a variety of activities, among which worth mentioning are the information and communication technology assisted learning processes, generally known as elearning. With the development of knowledge databases, people interested in their own education can more easily access information they are interested in, in a shorter period of time with a higher efficiency. Knowledge data bases combined with advanced data analysis techniques can be a very important factor to improving the technology assisted learning processes carried on by learning institutions such as universities. It is possible to design and implement algorithms that, by evaluating a person’s knowledge in a particular field of study can select the exact themes one needs to study, optimizing in this way the educational processes that are carried on and reducing the time needed for tuition programs. Using powerful tools such as advanced data analysis techniques it is possible to better correlate the content of a course to each student, customizing it in order to increase the efficiency of the learning processes. Universities and other educational institutions can now offer students the opportunity to quickly access exactly the information they need, when they need it. In this paper are explored the possibilities to apply advanced data analysis techniques, also known as data mining techniques, to improve e-learning platforms in order to offer the students customized courses and to increase the efficiency of e-learning systems, offering the students more flexibility.

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