Automatic content searching model during blended learning class sessions

Mohamed Mahmood Abdulkarim, Mohamed Alsaeed, Sohail Safdar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Blended Learning is one of the emerging methods of teaching and learning these days. Its fame is due to the integration of both electronic as well as traditional teaching methods that has proven remarkable outcomes. It is noted that the students require an access of additional resources while they attend their lectures. In e-learning they have this provision of searching related reference material either after their lecture class or they may do so in advance, if guided. However, it may be noted that, having the reference material right at the time of ongoing lecture may help the student not to miss any important concept but also improves their learning experience. The main objective of this research is to enhance the literature search by applying it during active lecture sessions. The research adapted the voice recognition system to acquire the keywords from instructor's voice during lecture. Stemming and TF -IDF is used to acquire relevant keywords that results in the formulation of desired key strings. The process has worked in background and produced significant results in comparison to traditional search methods.

Original languageEnglish
Title of host publication2023 International Conference on IT Innovation and Knowledge Discovery, ITIKD 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781665463720
DOIs
Publication statusPublished - 19 Apr 2023
Event2023 International Conference on IT Innovation and Knowledge Discovery, ITIKD 2023 - Manama, Bahrain
Duration: 8 Mar 20239 Mar 2023

Conference

Conference2023 International Conference on IT Innovation and Knowledge Discovery, ITIKD 2023
Country/TerritoryBahrain
CityManama
Period8/03/239/03/23

Keywords

  • Blended Learning
  • Learning experience
  • Searching Techniques
  • TF-IDF
  • Voice Based Searching

Cite this