What is the influence of psychosocial factors on artificial intelligence appropriation in college students?
Abstract Background In recent years, the adoption of artificial intelligence (AI) has become increasingly relevant in various sectors, including higher education. This study investigates the psychosocial factors influencing AI adoption among Peruvian university students and uses an extended UTAUT2 m...
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| Format: | Article |
| Language: | English |
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BMC
2025-01-01
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| Series: | BMC Psychology |
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| Online Access: | https://doi.org/10.1186/s40359-024-02328-x |
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| author | Benicio Gonzalo Acosta-Enriquez María de los Ángeles Guzmán Valle Marco Arbulú Ballesteros Julie Catherine Arbulú Castillo Carmen Graciela Arbulu Perez Vargas Isaac Saavedra Torres Pedro Manuel Silva León Karina Saavedra Tirado |
| author_facet | Benicio Gonzalo Acosta-Enriquez María de los Ángeles Guzmán Valle Marco Arbulú Ballesteros Julie Catherine Arbulú Castillo Carmen Graciela Arbulu Perez Vargas Isaac Saavedra Torres Pedro Manuel Silva León Karina Saavedra Tirado |
| author_sort | Benicio Gonzalo Acosta-Enriquez |
| collection | DOAJ |
| description | Abstract Background In recent years, the adoption of artificial intelligence (AI) has become increasingly relevant in various sectors, including higher education. This study investigates the psychosocial factors influencing AI adoption among Peruvian university students and uses an extended UTAUT2 model to examine various constructs that may impact AI acceptance and use. Method This study employed a quantitative approach with a survey-based design. A total of 482 students from public and private universities in Peru participated in the research. The study utilized partial least squares structural equation modeling (PLS-SEM) to analyze the data and test the hypothesized relationships between the constructs. Results The findings revealed that three out of the six hypothesized factors significantly influenced AI adoption among Peruvian university students. Performance expectancy (β = 0.274), social influence (β = 0.355), and AI learning self-efficacy (β = 0.431) were found to have significant positive effects on AI adoption. In contrast to expectations, ethical awareness, perceived playfulness, AI readiness and AI anxiety did not have significant impacts on AI appropriation in this context. Conclusion This study highlights the importance of practical benefits, the social context, and self-confidence in the adoption of AI within Peruvian higher education. These findings contribute to the understanding of AI adoption in diverse educational settings and provide a framework for developing effective AI implementation strategies in higher education institutions. The results can guide universities and policymakers in creating targeted approaches to enhance AI adoption and integration in academic environments, focusing on demonstrating the practical value of AI, leveraging social networks, and building students’ confidence in their ability to learn and use AI technologies. |
| format | Article |
| id | doaj-art-4b86492bdb60498f954a061ba632e88a |
| institution | Kabale University |
| issn | 2050-7283 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Psychology |
| spelling | doaj-art-4b86492bdb60498f954a061ba632e88a2025-01-05T12:50:24ZengBMCBMC Psychology2050-72832025-01-0113111510.1186/s40359-024-02328-xWhat is the influence of psychosocial factors on artificial intelligence appropriation in college students?Benicio Gonzalo Acosta-Enriquez0María de los Ángeles Guzmán Valle1Marco Arbulú Ballesteros2Julie Catherine Arbulú Castillo3Carmen Graciela Arbulu Perez Vargas4Isaac Saavedra Torres5Pedro Manuel Silva León6Karina Saavedra Tirado7Universidad Nacional de TrujilloUniversidad Tecnológica del PerúUniversidad César VallejoUniversidad César VallejoUniversidad César VallejoUniversidad César VallejoUniversidad César VallejoUniversidad Nacional de TrujilloAbstract Background In recent years, the adoption of artificial intelligence (AI) has become increasingly relevant in various sectors, including higher education. This study investigates the psychosocial factors influencing AI adoption among Peruvian university students and uses an extended UTAUT2 model to examine various constructs that may impact AI acceptance and use. Method This study employed a quantitative approach with a survey-based design. A total of 482 students from public and private universities in Peru participated in the research. The study utilized partial least squares structural equation modeling (PLS-SEM) to analyze the data and test the hypothesized relationships between the constructs. Results The findings revealed that three out of the six hypothesized factors significantly influenced AI adoption among Peruvian university students. Performance expectancy (β = 0.274), social influence (β = 0.355), and AI learning self-efficacy (β = 0.431) were found to have significant positive effects on AI adoption. In contrast to expectations, ethical awareness, perceived playfulness, AI readiness and AI anxiety did not have significant impacts on AI appropriation in this context. Conclusion This study highlights the importance of practical benefits, the social context, and self-confidence in the adoption of AI within Peruvian higher education. These findings contribute to the understanding of AI adoption in diverse educational settings and provide a framework for developing effective AI implementation strategies in higher education institutions. The results can guide universities and policymakers in creating targeted approaches to enhance AI adoption and integration in academic environments, focusing on demonstrating the practical value of AI, leveraging social networks, and building students’ confidence in their ability to learn and use AI technologies.https://doi.org/10.1186/s40359-024-02328-xArtificial intelligenceAI appropriationHigher educationUTAUT2 modelPeruvian university studentsTechnology adoption |
| spellingShingle | Benicio Gonzalo Acosta-Enriquez María de los Ángeles Guzmán Valle Marco Arbulú Ballesteros Julie Catherine Arbulú Castillo Carmen Graciela Arbulu Perez Vargas Isaac Saavedra Torres Pedro Manuel Silva León Karina Saavedra Tirado What is the influence of psychosocial factors on artificial intelligence appropriation in college students? BMC Psychology Artificial intelligence AI appropriation Higher education UTAUT2 model Peruvian university students Technology adoption |
| title | What is the influence of psychosocial factors on artificial intelligence appropriation in college students? |
| title_full | What is the influence of psychosocial factors on artificial intelligence appropriation in college students? |
| title_fullStr | What is the influence of psychosocial factors on artificial intelligence appropriation in college students? |
| title_full_unstemmed | What is the influence of psychosocial factors on artificial intelligence appropriation in college students? |
| title_short | What is the influence of psychosocial factors on artificial intelligence appropriation in college students? |
| title_sort | what is the influence of psychosocial factors on artificial intelligence appropriation in college students |
| topic | Artificial intelligence AI appropriation Higher education UTAUT2 model Peruvian university students Technology adoption |
| url | https://doi.org/10.1186/s40359-024-02328-x |
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