Combining Intelligent Algorithms and E-Learning Styles to Create an Improved Intelligent System in Evaluating an E-Learning Student’s Profile

Frida Gjermeni, Biljana Percinkova

Abstract


The e-learning platforms combining both digital contents and knowledge management, are taking an important role in education at the same being used by many enterprises on employee’s training to promote competitiveness. Their characteristics of learning anytime and anywhere, making use of the mobile technology and cloud applications, give them superiority compared to traditional teaching methods in the classroom. Since the students and teachers are on different time and space in an e-learning environment, the learning status of a student is difficult to be controlled by teachers. Also the majority of the existing formation platforms are generally conceived as contents distribution systems, with few concerns about the interests and the immediate reaction ofsingular learners in the virtual classroom. In order to achieve efficiency and trying to avoid the above mentioned disadvantages, there is a need for gathering information regarding each learner’s profile, and building a personalized path of learning for each student or students with similar profile progress in the learning process. In order to get information about the students' profile, meaning the way he wants and is able to gather knowledge, questionnaires to evaluate his/her psychological profile can be of great help. In this paper we address the issue of e-learning personalization through implementing Intelligent Algorithms based on Intelligent Agentsin an e-learning environment. The IAELS Algorithm and the Agent System Based Algorithm are compared in a qualitative and quantitative way. Results are presented based on students’ opini¬ons and their performance achieved in the Microsoft Office Suite 2010 e-learning course. Further developing this kind of intelligent evaluating system we propose development of a questionnaire, so that based on different learners' profiles, we could incorporatea starting point in building e-learning ennvironment for gathering virtual knowledge by the e-student.

Keywords:  E-learning platform, Intelligent algorithms, Agent based algorithm, IAELS Algorithm, e-learning path.


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DOI: http://dx.doi.org/10.0001/ijllis.v7i2.1639

DOI (PDF): http://dx.doi.org/10.0001/ijllis.v7i2.1639.g2110

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