AI disruption: understanding performance and learning motivation of generation Z

Claude Chammaa () and Marie Haikel-Elsabeh ()
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Claude Chammaa: UniLaSalle
Marie Haikel-Elsabeh: IMT-BS - MMS - Département Management, Marketing et Stratégie - TEM - Télécom Ecole de Management - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - Université Paris-Saclay - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris]

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Abstract: The emergence of AI raises numerous concerns, including unemployment, lack of transparency, and environmental impact, among others. We are entering a transformative era marked by a significant shift from traditional tools to AI-driven technologies that revolutionize tasks. AI is playing a disruptive role in education and redefining its boundaries and evolution. Our research aims to explore Generation Z's future perspectives and challenges by conducting a quantitative study grounded in two motivational theories: Holland's Career Choice Theory and the Expectancy Theory, which examines the interplay of effort, performance, and reward (Expectancy, Instrumentality, and Valence). The study employs a structural equation modeling (SEM) approach to analyze the relationships between key factors such as Facilitating Conditions, Engagement, Self-Efficacy, Autonomy, Goal Commitment, Learning Motivation, and Technology Attributes. Results highlight how these constructs collectively drive Performance Outcomes, shedding light on the mechanisms through which AI impacts personal and professional trajectories for Generation Z. We can understand their future orientations by comprehending how AI transfigures and changes their ability to learn and reach their objectives.

Keywords: Engagement; Motivation; Artificial intelligence; Generation Z; Career; choice (search for similar items in EconPapers)
Date: 2025-05-21
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Published in AIM 2025 : 30ème conférence annuelle de l'Association Information et Management. "Évolutions et perspectives des systèmes d'information dans les organisations et sociétés en transition", Association Information et Management (AIM), May 2025, Lyon, France

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05085739

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