Factors that Affects the Use of AI Agents in Adaptive Learning: A Sociomaterial and Mcdonaldization Approach in the Higher Education Sector

Nahil Kazoun, Angelika Kokkinaki, Charbel Chedrawi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the Higher Education Sector (HES), we see increasingly Artificial Intelligent (AI) agents in the form of chatbots or interactive virtual agents indistinguishable from people and a unique example of human-machine interaction using natural language processing. They are becoming one of the main technological tools to ensure accreditation and e-learning, while providing better adaptive learning. This conceptual paper aims to examine the factors that affect the intention to use AI agents/chatbots for adaptive learning in HEI from a sociomateriality perspective taking into consideration the mcdonaldization effect. An extended UTAUT (Unified Theory of Acceptance and Use of Technology) model is proposed to be evaluated in the HES context.

Original languageEnglish
Title of host publicationInformation Systems - 18th European, Mediterranean, and Middle Eastern Conference, EMCIS 2021, Proceedings
EditorsMarinos Themistocleous, Maria Papadaki
PublisherSpringer Science and Business Media Deutschland GmbH
Pages414-426
Number of pages13
ISBN (Print)9783030959463
DOIs
Publication statusPublished - 2022
Event18th European, Mediterranean, and Middle Eastern Conference on Information Systems, EMCIS 2021 - Virtual, Online
Duration: 8 Dec 20219 Dec 2021

Publication series

NameLecture Notes in Business Information Processing
Volume437 LNBIP
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Conference

Conference18th European, Mediterranean, and Middle Eastern Conference on Information Systems, EMCIS 2021
CityVirtual, Online
Period8/12/219/12/21

Keywords

  • AI agents
  • Chatbots
  • Higher education institution
  • Higher education sector
  • Macdonaldization
  • Sociomateriality
  • UTAUT

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