Enabling remote learning system for virtual personalized preferences during COVID-19 pandemic

Abstract

The education system worldwide has been affected by the Corona Virus Diseases 2019 (COVID-19) pandemic, resulting in the interruption of all educational institutions. Moreover, as a precautionary measure, the lockdown has been imposed that has severely affected the learning processes, especially assessment activities, including exams and viva. In such challenging situations, E-learning platforms could play a vital role in conducting seamless academic activities. In spite of all the advantages of remote learning systems, many hurdles and obstacles, like a selection of suitable learning resources/material encounter by individual users based on their interests or requirements. Especially those who are not well familiar with the internet technology in developing countries and are in need of a platform that could help them in resolving the issues related to the online virtual environment. Therefore, in this work, we have proposed a mechanism that intelligently and correctly predicts the appropriate preferences for the selection of resources relevant to a specific user by considering the capabilities of diverse perspectives users to provide quality online education and to make work from home policy more effective and progressive during the pandemic. The proposed system helps teachers in providing quality online education, familiarizing them with advanced technology in the online environment. It also semantically predicts the preferences for virtual assistance of those users who are in need of learning the new tools and technologies in short time as per their institutional requirements in order to meet the quality standards of online education. The experimental and statistical results have demonstrated that the proposed virtual personalized preferences system has improved overall academic activities as compared to the current method. The proposed system enhanced user's learning abilities and facilitated them in selecting short courses while using different online education tools adopted/suggested by the institutions to conduct online classes/seminars/webinars etc., as compared to the conventional classes/activities.

Using refined kano model and decision trees to discover learners’ needs for teaching videos

“…Augmented Reality (AR) technology also has been used to increase users’ learning interests [ 59 , 68 ]. Due to COVID-19 epidemic, the use of multimedia, such as instructional animations, videos, and virtual reality (VR) in distance teaching, has attracted lots of academic attention [ 3 , 6 , 22 , 56 , 63 ]. Compared with text, “video” has a dynamic visual effect.…”

“…The study's methodology including implemental procedure and illustrative example are presented in Sect. 3. The results of the study are analyzed and discussed in Sects.…”

Evolution of teaching in short-term courses: A systematic review

“…& Doherty, E.M. [ 9 ] Resident Training for Successful Professional Interactions 2022 Ali, S., Hafeez, Y., Abbas, M.A., Aqib, M.& Nawaz, A. [ 15 ] Enabling remote learning system for virtual personalized preferences during COVID-19 pandemic 2021 Albright, H. J., Stephenson, C.R. & Schindler C.S.…”

Prospects of augmented reality and virtual reality for online education: a scientometric view

“…Technological advancement has largely benefited the education industry, especially after the Covid-19 pandemic (Vergara et al, 2022;Shaturaev et al, 2022;Raja and Lakshmi Priya, 2022). Educational institutions, educators and students have adapted to new realities expedited by the Covid-19 pandemic (Collins et al, 2022;Ali et al, 2021;Cullinane et al, 2022;Joshi et al, 2020). The teachers are using AR and VR as innovative educational tools for a better teaching-learning experience.…”