AI in Education: Improving Quality for Both Centralized and Decentralized Frameworks

Nisha Thorakkattu Madathil, Saed Alrabaee, Mousa Al-Kfairy, Rafat Damseh, Abdelkader N. Belkacem

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

Abstract

Education is essential for achieving many Sustainable Development Goals (SDGs). Therefore, the education system focuses on empowering more educated people and improving the quality of the education system. One of the latest technologies to enhance the quality of education is Artificial Intelligence (AI)-based Machine Learning (ML). As a result, ML has a significant influence on the education system. ML is currently widely applied in the education system for various tasks, such as creating models by monitoring student performance and activities that accurately predict student outcomes, their engagement in learning activities, decision-making, problem-solving capabilities, etc. In this research, we provide a survey of machine learning frameworks for both distributed (clusters of schools and universities) and centralized (university or school) educational institutions to predict the quality of students' learning outcomes and find solutions to improve the quality of their education system. Additionally, this work explores the application of ML in teaching and learning for further improvements in the learning environment for centralized and distributed education systems.

Original languageEnglish
Title of host publicationEDUCON 2023 - IEEE Global Engineering Education Conference, Proceedings
PublisherIEEE Computer Society
ISBN (Electronic)9798350399431
DOIs
Publication statusPublished - 2023
Event14th IEEE Global Engineering Education Conference, EDUCON 2023 - Salmiya, Kuwait
Duration: May 1 2023May 4 2023

Publication series

NameIEEE Global Engineering Education Conference, EDUCON
Volume2023-May
ISSN (Print)2165-9559
ISSN (Electronic)2165-9567

Conference

Conference14th IEEE Global Engineering Education Conference, EDUCON 2023
Country/TerritoryKuwait
CitySalmiya
Period5/1/235/4/23

Keywords

  • Education
  • SDG
  • federated learning

ASJC Scopus subject areas

  • Information Systems and Management
  • Education
  • General Engineering

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