ISKOOL-71: A personalized recommender web-based learning management system for learners and tutors

Sakib Hosen Himel *, Md. Mahabub Alam and Md. Ashiquzzaman

Department of Computer Science and Engineering, Daffodil International University, Dhaka-1207, Bangladesh.
 
Research Article
GSC Advanced Engineering and Technology, 2022, 03(01), 029–043.
Article DOI: 10.30574/gscaet.2022.3.1.0022
Publication history: 
Received on 23 January 2022; revised on 27 February 2022; accepted on 01 March 2022
 
Abstract: 
(COVID-19) The epidemic is the defining global health crisis of our time. The division that is still suffering lockdown in Bangladesh is education. Schools, colleges, universities, or even their private halls are the places where managing social distance is quite challenging. So, universal, classrooms are still locked down mostly. Alternatives are being proposed. Online activities are going on. We developed an online platform (ISKOOL-71). ISKOOL-71 is where motivated learners will come to learn the skills they need, to pursue the jobs they wish, to build things they want, and to lead the lives they deserve. Students will be offered the opportunity to do some close-to real-world projects curated by experts. These will help them gain future experience and portfolio. Our ISKOOL-71 is such a kind platform where students do their class online as well as offline. If any student misses the class for delay of electricity or internet later no problem at all, we design our system in such a way where students get the recorded class over there. ISKOOL-71 is the personalized digital education and learning center of the education system. This platform proposes to combine instructors and students adequately allowing instructors to follow the growth of individual learners and better facilitate their learning.
 
Keywords: 
Personalization; Recommender systems; Web mining; Online schooling; LMS
 
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