A Vision of Teaching and Learning with AI

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Abstract

Rapid development of AI technologies with breakthroughs in algorithmic machine learning and autonomous decision making have generated unprecedented opportunities for technological innovation. There is consensus from policy report that in the next years AI could revolutionise the way teaching and learning is designed and delivered to students leading to seamless intelligent services that are more tailored to student’s needs and interests. Current impetus on AI-based research in education has mainly focused on a knowledge-based approach inherently prevalent in Intelligent Tutoring Systems employed in specific domains. The aim of this paper is to proliferate a compendious framework that classifies teaching practice with a spectrum of AIED applications and tools. The framework acts as a point of departure for teachers that envisage to use AI for enhancing the way learning and teaching is manifested. It may also serve as a blueprint for AIED developers to design AIED systems that focus on specific teaching and learning instances.
Original languageEnglish
Title of host publication2022 IEEE Global Engineering Education Conference (EDUCON)
PublisherIEEE
Pages1796-1803
Number of pages8
ISBN (Electronic)978-1-6654-4434-7
ISBN (Print)978-1-6654-4435-4
DOIs
Publication statusPublished - 11 May 2022
Event2022 IEEE Education Engineering - Tunis, Tunisia
Duration: 28 Mar 202231 Mar 2022

Publication series

Name2022 IEEE Global Engineering Education Conference (EDUCON)
PublisherIEEE

Conference

Conference2022 IEEE Education Engineering
Abbreviated title(EDUCON)
Country/TerritoryTunisia
CityTunis
Period28/03/2231/03/22

Keywords

  • Artificial intelligence
  • Education
  • technology-enhanced learning

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