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

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Information Systems (EMCIS 2021)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 437))

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.

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Author information

Authors and Affiliations

  1. PhD Programme, School of Business, University of Nicosia, Nicosia, Cyprus

    Nahil Kazoun

  2. School of Business, University of Nicosia, Nicosia, Cyprus

    Angelika Kokkinaki & Charbel Chedrawi

  3. Faculty of Business and Management, Saint Joseph University, Beirut, Lebanon

    Charbel Chedrawi

Authors
  1. Nahil Kazoun
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  2. Angelika Kokkinaki
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  3. Charbel Chedrawi
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Correspondence to Nahil Kazoun .

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Editors and Affiliations

  1. University of Nicosia, Nicosia, Cyprus

    Marinos Themistocleous

  2. British University in Dubai, Dubai, United Arab Emirates

    Maria Papadaki

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Kazoun, N., Kokkinaki, A., Chedrawi, C. (2022). Factors that Affects the Use of AI Agents in Adaptive Learning: A Sociomaterial and Mcdonaldization Approach in the Higher Education Sector. In: Themistocleous, M., Papadaki, M. (eds) Information Systems. EMCIS 2021. Lecture Notes in Business Information Processing, vol 437. Springer, Cham. https://doi.org/10.1007/978-3-030-95947-0_29

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  • DOI: https://doi.org/10.1007/978-3-030-95947-0_29

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