Knowledge Discovery Tutor System: A Recommendation Process
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 7
Abstract
Now a days web based learning environments has become very popular and efficient. By using these learning strategies, e-learning plays a vital role. “The semantic recommendation in programming language :A web mining content approach”, depicts a content mining approach for a student, which could be an important activity that includes student registration, selecting different programming courses for those who would like to study, then taking periodic tests. The performance analysis is done for the student and different study materials are recommended if the performance of the student is considerably less in some specific course. In this paper we have used the recommendation engine which plays vital role and it is one of the most powerful tools that helps to increase the performance of the student. This learning platform has been tested and has received positive feedback from student and teacher community.
Authors and Affiliations
Anand Mannikeri, Prof. Leena Sakri
Keywords
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