STRUCTURING A BLURRY SKILL-ABILITY SYSTEM FOR PERSONAL MADE E-LEARNING BY USING FUZZY METHODS

Mohammad Reza Pourhassan; Seyed Hassan Shojaie, Mojtaba Khanzadeh

doi:10.65453/ajbmr.v3i8.614

Authors

Mohammad Reza Pourhassan Department of Industrial Engineering, Arak Branch, Islamic Azad University, Arak, Iran
Seyed Hassan Shojaie, Mojtaba Khanzadeh Department of Industrial Management, Shiraz Branch, Islamic Azad University, Shiraz, Iran

DOI:

https://doi.org/10.65453/ajbmr.v3i8.614

Keywords:

personalized e-learning, Learners profiles, Course ontology, learning objects, Fuzzy Knowledge Management

Abstract

Personal making of education is one of the most consequential methods of enhancing the efficiency and productivity of knowledge imparting and education. Concurrently, it is also a complicated procedure that needs careful attention of several factors such as students’ profiles, learning substance and learning strategies. The Blurry or Fuzzy Knowledge Management System for personalized learning discussed in this paper considers all the aforesaid reasons and factors as a whole, though not separately, as compared with many studies on the research troubles. The major task of the system is to suggest the most suitable learning stuff to the students in view their knowledge level and other learning belongings. The knowledge foundation of the system includes course and ideas of ontologies, student’s profiles and learning articles knowledge. Fuzzy logic procedures are applied for describing and working of the
knowledge. Early experimental results indicate the feasibility of the system.