What is the influence of psychosocial factors on artificial intelligence appropriation in college students? DOI Creative Commons
Benicio Gonzalo Acosta Enríquez, María de los Ángeles Guzmán Valle,

Marco Arbulú Ballesteros

и другие.

BMC Psychology, Год журнала: 2025, Номер 13(1)

Опубликована: Янв. 4, 2025

In recent years, the adoption of artificial intelligence (AI) has become increasingly relevant in various sectors, including higher education. This study investigates psychosocial factors influencing AI among Peruvian university students and uses an extended UTAUT2 model to examine constructs that may impact acceptance use. employed a quantitative approach with survey-based design. A total 482 from public private universities Peru participated research. The utilized partial least squares structural equation modeling (PLS-SEM) analyze data test hypothesized relationships between constructs. findings revealed three out six significantly influenced students. Performance expectancy (β = 0.274), social influence 0.355), learning self-efficacy 0.431) were found have significant positive effects on adoption. contrast expectations, ethical awareness, perceived playfulness, readiness anxiety did not impacts appropriation this context. highlights importance practical benefits, context, self-confidence within These contribute understanding diverse educational settings provide framework for developing effective implementation strategies education institutions. results can guide policymakers creating targeted approaches enhance integration academic environments, focusing demonstrating value AI, leveraging networks, building students' confidence their ability learn use technologies.

Язык: Английский

What is the influence of psychosocial factors on artificial intelligence appropriation in college students? DOI Creative Commons
Benicio Gonzalo Acosta Enríquez, María de los Ángeles Guzmán Valle,

Marco Arbulú Ballesteros

и другие.

BMC Psychology, Год журнала: 2025, Номер 13(1)

Опубликована: Янв. 4, 2025

In recent years, the adoption of artificial intelligence (AI) has become increasingly relevant in various sectors, including higher education. This study investigates psychosocial factors influencing AI among Peruvian university students and uses an extended UTAUT2 model to examine constructs that may impact acceptance use. employed a quantitative approach with survey-based design. A total 482 from public private universities Peru participated research. The utilized partial least squares structural equation modeling (PLS-SEM) analyze data test hypothesized relationships between constructs. findings revealed three out six significantly influenced students. Performance expectancy (β = 0.274), social influence 0.355), learning self-efficacy 0.431) were found have significant positive effects on adoption. contrast expectations, ethical awareness, perceived playfulness, readiness anxiety did not impacts appropriation this context. highlights importance practical benefits, context, self-confidence within These contribute understanding diverse educational settings provide framework for developing effective implementation strategies education institutions. results can guide policymakers creating targeted approaches enhance integration academic environments, focusing demonstrating value AI, leveraging networks, building students' confidence their ability learn use technologies.

Язык: Английский

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