Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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The integration of generative artificial intelligence (GenAI) into higher education necessitates a reconceptualization of teacher competencies, moving beyond technical proficiency to encompass pedagogical strategies for fostering critical, ethical, and developmentally appropriate student-AI collaboration. Existing competency frameworks, however, exhibit notable limitations in equipping university teachers with actionable guidance for designing GenAI-mediated learning experiences that cultivate their students’ higher-order thinking and subject knowledge. In response, this paper develops and proposes a GenAI-responsive competency framework for university teachers to supplement existing...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Artificial Intelligence (AI) holds significant potential in transforming future educational practices by enhancing teaching and learning. However, its full realization heavily depends on teachers' AI literacy, which significantly influences their engagement levels with AI technologies and their abilities to adopt AI technologies effectively in similar settings. In this study, we conduct a holistic analysis examining pre-service teachers' AI literacy for providing insights about current understanding of AI technologies, perceptions of the applications of AI in education, ethical issues and strategies for effectively enhancing AI literacy. Guided by Bloom's Taxonomy, a comprehensive, layered...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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High-quality instruction is essential to facilitating student learning, prompting many professional development (PD) programmes for teachers to focus on improving classroom dialogue. However, during PD programmes, analysing discourse data is time-consuming, delaying feedback on teachers' performance and potentially impairing the programmes' effectiveness. We therefore explored the use of ChatGPT (a fine-tuned GPT-3.5 series model) and GPT-4o to automate the coding of classroom discourse data. We equipped these AI tools with a codebook designed for mathematics discourse and academically productive talk. Our dataset consisted of over 400 authentic talk turns in Chinese from synchronous online...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Although computerized expert models (i.e., algorithms) could improve educational decisions and judgments, initial research has demonstrated that teachers, like other professional groups, tend to be “algorithm averse.” In the current study, we use behavioral and questionnaire data to examine the extent to which in-service and pre-service (i.e., students in training to become) teachers accept advice from expert models and investigate how teachers' acceptance of expert models could be improved. Although it is often presumed that younger generations are less algorithm averse, we demonstrate that both in-service and pre-service teachers prefer advice from a human source (school counselor) than...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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This study examines the reliability and accuracy of large language models (LLMs) for automated classroom observation using the World Bank's TEACH Primary framework. As education systems increasingly explore AI-based tools to scale teacher feedback and professional development, empirical validation of these systems is critical. Using a corpus of 12 primary classroom videos, we compared 8618 AI-generated evaluations from eight LLM endpoints against consensus-based ratings from certified TEACH experts. To account for model stochasticity, each model produced 10 independent evaluations per video–element pair. Reliability was assessed using variability and inter-rater consistency indicators,...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Teachers play a vital role in driving successful artificial intelligence (AI) education. Research on teachers' competency to teach AI (TCAI) is still limited. This study investigated the progression of in-service teachers' AI competency with the Technological Pedagogical Content Knowledge (TPACK) framework using Epistemic Network Analysis (ENA). Seven secondary school teachers who engaged in an AI education project were interviewed over a three-year period of curriculum development and implementation. The differences in ENA patterns in various stages indicated an evolution of teachers’ TPACK over the years. The ENA results also revealed different patterns between experienced and less...

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Tipo: artículo

Metodología: estudio empírico

Temas: formación de profesores

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Este estudio ha propuesto conocer la evaluación hecha por el profesorado de E/LE en el estado de Georgia, EE.UU., acerca de su preparación lingüística y pedagógica para la carrera docente. Como instrumento de investigación, se ha preparado un cuestionario para entrevistar a los profesores de español del sistema público escolar de ese estado. Los resultados han demostrado que los programas de formación del profesorado de E/LE no proveen una formación lingüística adecuada que asegure el nivel de fluencia deseado para los retos de la profesión docente. Se concluyó que es necesario proveer más posibilidades para el desarrollo lingüístico del futuro profesor, y se han sugerido algunas...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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The application of Artificial Intelligence (AI) technology in education is increasingly recognized as a key driver of educational innovation. While extensive literature exists on the integration of AI technologies in educational settings, less emphasis has been placed on the critical role of teachers and their professional development needs. This study systematically reviews research conducted between 2015 and 2024 on teachers' use of AI technology in their teaching and professional development, focusing on the relationship between the supply of professional development opportunities and the demand for AI integration among teachers. Using PRISMA principles and protocols, this review...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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There is a need for teachers who are prepared to teach Artificial Intelligence (AI) across the K-12 learning contexts. Owing to the dearth of teacher education programmes on AI, it is helpful to explore factors to be considered in designing an effective AI programme for future teachers. We posit that understanding how to encourage pre-service teachers to learn AI is thus critical for practitioners and policymakers while designing effective instructional AI teacher education programmes. This exploratory study examined the perceptions of pre-service teachers and their behavioral intention to learn AI, by identifying factors that might affect learning and promoting AI in teacher preparation...

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Tipo: artículo

Metodología: propuesta didáctica

Temas: AICLE/CLIL

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En el presente trabajo se describe un proyecto de innovación educativa cuyo objetivo era replantear las prácticas experimentales de Física del grupo bilingüe de la Facultad de Educación para que los estudiantes apliquen el enfoque Ciencia-Tecnología-Ingeniería-Matemáticas (CTIM) y Aprendizaje Integrado de Ciencias en Lengua Extranjera (AICLE) simultáneamente. Asimismo, se ha recabado su valoración para futuros trabajos pasado un tiempo desde la intervención didáctica y terminado su período obligatorio de tres semanas de prácticas en un centro escolar de la Comunidad de Madrid.

This study focuses on an innovation project where physics experimental activities - addresed to the...

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