FICHA TÉCNICA
Fecha de publicación:
06/11/2024
Doi del capítulo:
Título del libro: Artificial Intelligence and Education
URL del libro:
ISBN del libro: 9788410282452
DOI del libro:
Abstract
“The aim of this study was to analyze the validated psychometric characteristics of the ‘Scale of Attitudes towards the inclusion of Artificial Intelligence, called Pretest_Perception and Attitude towards Artificial Intelligence in the Educational Environment’ (EIPAA-IAE)’ using a short version for future teachers, in the integration of AI as a learning tool. The study describes future teachers’ attitudes towards critical thinking, emotional competencies and creativity, determining the internal consistency and reliability of the designed tool. The design structure of the instrument consists of the following three latent factors, which were obtained through an exploratory factor analysis (EFA): AI/critical thinking, AI/emotional competencies, and AI/creativity. The questionnaire was applied to a sample of 205 participants. With confirmatory factor analyses (CFA), a prior hypothesis was established regarding the relationship of the factors and their number and nature, specifying the number of factors and the way in which the variables relate to each other. According to the analyses, 66.53% of the total variance was explained. Reliability, calculated with Cronbach’s alpha, reached an overall value greater than 0.90 (α = 0.94). This valid and reliable questionnaire, which incorporates a dimension that measures the transfer of learning in hybrid and multimodal models of digital ecosystems in higher education with AI, can be applied in the evaluation of online education processes.”
Palabras clave
Autores
PhD María Dolores Díaz-Noguera, PhD Carlos Hervás-Gómez, Eduardo Puraivan, Mg. Macarena Gema Astudillo-Vásquez, Mg. Connie Cofré-Morales
Cómo citar
Díaz-Noguera, M. D., Hervás-Gómez, C., Puraivan, E., Astudillo-Vásquez, M. G., Cofré-Morales, C. (2024). Validation of the Attitude Scale on the Perceptions of Future Teachers about Artificial Intelligence and its Consequences on their Motivation, Critical Thinking and Improvement of their Learning. In Díaz-Noguera, M. D., Hervás-Gómez, C., Sánchez-Vera, F. (Coords.), Artificial Intelligence and Education (pp. 51-64). Octaedro. https://doi.org/10.36006/09643-1-03
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