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- Title
Adaptación y validación de un instrumento para medir las actitudes de los universitarios hacia la inteligencia artificial.
- Authors
Gálvez-Marquina, M. C.; Pinto-Villar, Y. M.; Mendoza-Aranzamendi, J. A.; Anyosa-Gutiérrez, B. J.
- Abstract
The article aims to adapt and validate an instrument to measure students’ attitudes towards artificial intelligence, developed by Schepman and Rodway (2020). This is due to the lack of sufficient instruments at the time of this research that could collect valuable information for designing educational interventions tailored to these specific attitudes. A quantitative and descriptive research was conducted with 411 students from seventeen universities in Peru. The instrument consists of 32 items, evaluating both positive and negative attitudes towards AI. The hypothesis tested was that the Schepman and Rodway (2020) instrument would demonstrate high reliability after being adapted and validated in the Peruvian context. Following adjustments, improvements in the instrument’s values were observed. The results indicate that the overall reliability of the instrument was acceptable, with values ranging between 0.806 and 0.938, depending on the dimensions considered. The item-total correlation and the determinant of the matrix suggested the possibility of grouping the items into dimensions. These results support the internal structure of the instrument. The diversity of dimensions highlights the complexity of attitudes towards AI, underscoring the need for further research. In conclusion, the adaptation and validation of the questionnaire showed high reliability, whether with the original two dimensions and 32 items or with the proposed four dimensions and 26 items. The instrument can be effectively used to measure the attitudes of Peruvian students towards AI. Further research is suggested to better understand the identified dimensions and their impact on the use of AI in education
- Subjects
ATTITUDES toward technology; STUDENT attitudes; COLLEGE student attitudes; ARTIFICIAL intelligence; INFORMATION design
- Publication
Revista de Comunicación, 2024, Vol 23, Issue 2, p125
- ISSN
1684-0933
- Publication type
Article
- DOI
10.26441/RC23.2-2024-3493