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
The aim of this study was to analyze the validated psychometric characteris tics 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...
| Autores: | , , , , |
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| Tipo de recurso: | capítulo de libro |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/165709 |
| Acceso en línea: | https://hdl.handle.net/11441/165709 |
| Access Level: | acceso abierto |
| Palabra clave: | Educational environment Emotional competencies Creativity Ar tificial Intelligence Motivation and critical thinking. |
| Sumario: | The aim of this study was to analyze the validated psychometric characteris tics 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 teach ers, in the integration of AI as a learning tool. The study describes future teachers’ attitudes towards critical thinking, emotional competencies and cre ativity, determining the internal consistency and reliability of the designed tool. The design structure of the instrument consists of the following three la tent factors, which were obtained through an exploratory factor analysis (EFA): AI/critical thinking, AI/emotional competencies, and AI/creativity. The ques tionnaire was applied to a sample of 205 participants. With confirmatory fac tor analyses (CFA), a prior hypothesis was established regarding the relation ship 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, calcu lated 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 evalua tion of online education processes. Educational environment, Emotional competencies, Creativity, Ar tificial Intelligence, Motivation and critical thinking. |
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