How AI Tools are Accepted and Utilized in Academia: A Mixed Methods Study

Jose Noel Fabia; Vanessa Napoles; Joselito Eduard Goh; Mateo Borbon, Jr.

doi:10.58230/josse.v2i1.295

Authors

Jose Noel Fabia De La Salle University https://orcid.org/0000-0001-6884-4646
Vanessa Napoles De La Salle - College of Saint Benilde
Joselito Eduard Goh De La Salle - College of Saint Benilde
Mateo Borbon, Jr. De La Salle - College of Saint Benilde

DOI:

https://doi.org/10.58230/josse.v2i1.295

Keywords:

Unified Theory of Acceptance and Use of Technology (UTAUT), Mixed methods study, Artificial Intelligence, Higher Education

Abstract

This mixed methods study investigates the factors influencing the acceptance and utilization of Artificial Intelligence (AI) tools among students and associates in a Philippine higher education institution, using the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The study reveals that both groups exhibit high familiarity with AI and utilize it for various academic tasks, with performance expectancy and facilitating conditions identified as the primary drivers of acceptance. The study employed a cross-sectional design with an embedded parallel mixed-methods approach. An online survey questionnaire was used to investigate the usage and acceptance of AI tools among students and associates. The findings underscore the importance of comprehensive training, transparent AI governance, and ethical guidelines to foster responsible AI integration in academia. The study also discusses the ethical considerations surrounding AI's use in education, emphasizing the need for responsible implementation to maximize its benefits while minimizing potential risks.

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