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

Sadia Ali*, Yaser Hafeez, Muhammad Azeem Abbas, Muhammad Aqib, Asif Nawaz

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)33329-33355
Number of pages27
JournalMultimedia Tools and Applications
Issue number24
Early online date17 Aug 2021
Publication statusPublished - Oct 2021


  • Architectures for educational technology system
  • Augmented and virtual reality
  • COVID-19
  • Distance education
  • Recommendation system
  • Teaching/learning strategies
  • Text mining


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