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How AI Tools are Accepted and Utilized in Academia: A Mixed Methods Study Fabia, Jose Noel; Napoles, Vanessa; Goh, Joselito Eduard; Borbon, Jr., Mateo
Journal of Social and Scientific Education Vol. 2 No. 1 (2025): February 2025
Publisher : South Sulawesi Education Development

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58230/josse.v2i1.295

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.
Perceptions and self-efficacy in online learning: Do students' characteristics and access to technology matter? Fearnley, Marissa; Fabia, Jose Noel; Caballes, Dennis
Journal of Social and Scientific Education Vol. 2 No. 2 (2025): June 2025
Publisher : South Sulawesi Education Development

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58230/josse.v2i2.317

Abstract

While online learning has become the delivery mode of choice to facilitate flexible or distance learning amid the COVID-19 pandemic, this alternative approach to instruction has challenged the entire educational system in the Philippines. Survey data from 2027 students from a private college were analyzed using nonparametric statistical tests to examine how perceptions and self-efficacy in online learning are affected by students’ characteristics and access to technology. Findings suggest that, in general, college students have moderate to high perceptions and self-efficacy when it comes to online learning. When students’ characteristics were compared, gender, academic track, and prior online learning experience showed significant differences in the two scales. Year level and the number of units enrolled in by students did not have any significant effect. Factors related to technology access, namely, device ownership, device sharing, Internet connectivity, and type of subscription, were also investigated. Both Internet connectivity and the type of subscription were significant factors that impact how learners view online learning and how competent they are in accomplishing online tasks. When online learning perceptions and online learning self-efficacy were correlated, highly significant positive associations among the subscales were obtained.