Open AccessPERSONALIZED VIRTUAL SCHOOL ENVIRONMENT USING CLASSIFIER ALGORITHM AND SEMANTIC ADVISOR-ASSISTING FRAMEWORK
Author(s) -
Jaimin Maniyar,
Jenila Livingston
Publication year - 2017
Publication title -
asian journal of pharmaceutical and clinical research
Language(s) - English
Resource type - Journals
eISSN - 2455-3891
pISSN - 0974-2441
DOI - 10.22159/ajpcr.2017.v10s1.19585
Subject(s) - personalization , computer science , context (archaeology) , learning environment , multimedia , virtual machine , classifier (uml) , semantic web , artificial intelligence , world wide web , mathematics education , psychology , paleontology , biology , operating system
As we knew that every individual is different than each other and their brain levels are also different, some students are very bright and some arenot, so there is a need to develop such system which will teach them as per their thought process and learning habits. This research aims to developa personalized virtual school environment for students which help them to learn the things same as they learn in school physically, but the thinghere is each student will be treated differently as per his/her ability. Hence, this system would be a virtual school for any student, which resemblesthe CBSE school system in India. In this virtual school, all things are present such as teachers, homework, games, and exams which present in actualschool except one which is the physical classroom because in virtual environment the course and things are personalized for each student as perhis/her thoughts and brain level, so here the student can seat in his/her home and can learn at any time with help of computer. The system is a webbasedenvironment and machine learning would be used for doing personalization on family and knowledge context of student. This web system contains four components: (1) Classification based on family context, (2) classification based on knowledge context, (3) learning material selection algorithm, (4) web-based learning system on top of above three, are discussed in this paper.