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Unravel: AI-Driven Educational Platform

Dalia Mohamed Sobhy, Khalid Khalil, Ahmed Nabil, and Aly Barakat

Abstract—2020 has been a challenging year for the educational field due to the COVID-19 virus. Changing to online learning was not easy for both the students and the educators. In an attempt to address the problems of online learning to help educators around the world, this paper proposes unravel application to facilitate the job of educators and give them a smooth experience while providing educational materials to their students. Unravel is a web-based solution that enables educators from all backgrounds to upload their lectures to an online cloud video hosting service. Using cutting-edge Speech to Text Technology and NLP tools, video files are transcribed, and a timeline is provided by the application which allows the user to manipulate the file using the generated text. It facilitates the video editing process for users with no video editing experience via an intuitive graphical user interface. The platform will also enable educators to monitor the students and get analytics from the system about the views and will enable an anonymous feedback system so educators can get reviews from their students. The objective of the proposed approach is to build a comprehensive platform that fills the gap between educators and students while unraveling the complex educational problems in online learning.

Index Terms—AI, NLP, web services, online learning, web application.

Dalia Mohamed Sobhy is with Computer Engineering Department, Arab Academy of Science and Technology and Maritime Transport, Alexandria, Egypt (e-mail: dalia.sobhi@aast.edu).
Khalid Khalil is with Facebook, London, UK (e-mail: khalid.k@aol.com).
Ahmed Nabil is with Incorta Company, San Mateo, California, USA (e-mail: ahmed.nasr@incorta.com).
Aly Barakat is with Minly Company, Cairo, Egypt (e-mail: abarakat@minlyapp.com).


Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2021: 1.3), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
  • E-mail: ijiet@ejournal.net

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