Bibliografía: Pedro Bem-haja
Nº de publicaciones: 3Detalles Cerrar โ
Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
Artificial Intelligence (AI) is impacting the way we teach and learn. However, there are still substantial barriers to the integration of AI in educational settings, as teachers often lack the necessary competences to understand and use AI for pedagogical purposes. Therefore, in the early stages of teacher preparation, it is essential to assess the readiness of pre-service teachers for this transition in different initial teacher education (ITE) contexts. This study aims to investigate the readiness of pre-service teachers in Portugal and Spain to integrate AI into future teaching practices. To this end, a study was conducted with 203 pre-service teachers from both countries that compared...
Detalles Cerrar โ
Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
Early prediction of students' primary school academic performance is crucial for planning timely interventions for those expected to struggle. Random Forest, Gradient Boosting, and Extra Trees AI techniques were used to study 2549 first graders to predict end-of-year academic performance and identify critical predictors for targeted interventions. The Extra Trees model used EPIS (Empresários pela Inclusão Social) screening to yield high F1 scores above 99.7 %, accurately identifying passing and failing students. Out of 142 variables, the top ten strongest predictors of academic success were categorized into three areas: 1) teacher perceptions of cognitive function, particularly attention (...
Detalles Cerrar โ
Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
The use of video and paper-based materials is commonly widespread in foreign language learning (FLL). It is well established that the level of acceptance of these materials influences learning outcomes, but there is lack of evidence regarding the use and related impact of videos generated by artificial intelligence (AI) on these aspects. This paper used linear mixed models and path analysis to investigate the influence of student acceptance of AI-generated short videos on learning outcomes compared to paper-based materials. Student acceptance was assessed based on perceived ease of use (PEU), perceived usefulness (PU), attitude (A), intentions (I), and concentration (C). The results...
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