Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Artificial intelligence (AI) has far-reaching implications for education. Within organizations, especially companies, human resource development (HRD) enables and supports learning processes among employees. In a similar way to teachers and lecturers, HRD professionals play an important role in implementing AI in HRD. However, there is a lack of quantitative empirical evidence about this process. The aim of this paper is to shed light on how HRD professionals position themselves with respect to AI. The concept of Davenport and Kirby's augmentation strategies, adapted to HRD, act as the theoretical background. The core idea of augmentation lies in human-AI collaboration. In our study, we...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Artificial Intelligence (AI) has rapidly emerged as a transformative force across diverse sectors worldwide, with policy initiatives signalling its rising prominence. In the realm of education, AI holds promise for revolutionising learning and teaching. However, the incorporation of AI in basic education faces significant challenges for many schools, particularly when explicit curriculum guidelines are absent, and teachers have limited exposure to AI technologies. This study delves into the importance of integrating Artificial Intelligence in Education (AIED), particularly in primary and secondary school settings, with a specific emphasis on the obstacles and facilitators. The research...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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This study investigates the factors influencing the adoption of Artificial Intelligence (AI) by secondary school teachers in Catalonia. Using a Partial Least Squares Structural Equation Modelling (PLS-SEM) methodology, a conceptual model was analyzed that includes AI perception, AI knowledge, General data use, Applied data use, and STEM training as predictors of AI adoption. The results reveal that AI knowledge (β = .482, p < .001) and General data use (β = .288, p = .001) are the most significant and positive predictors of AI adoption. In contrast, AI perception shows a weak but statistically significant negative relationship (β = -.105, p = .022), while applied data use and STEM...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Over the last few decades, there has been growing interest in artificial intelligence (AI) and how to apply it effectively in the educational process. The behavioural intention and attitudes of teachers play an important role in this regard. The technology acceptance model (TAM) has been shown to be effective in predicting factors that may positively or negatively influence behavioural intentions to use technology. The current study therefore aims to use this model to reveal teachers’ perceptions of the factors that influence the use of AI applications in science education. This research uses the descriptive method where a 6-dimensional scale is designed based on the components of...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Artificial intelligence (AI) has provided numerous learning benefits due to and beyond its personalization capabilities. AI significantly alters the interaction dynamics among students, teachers, and technology, necessitating the collaborative integration of AI in education instead of mere mechanical use. This study investigates pre-service teachers' perceptions and capabilities within the framework of social cognitive theory, focusing on their attitudes, intentions, self-efficacy, and AI literacy for effective AI integration. We discuss how these perceptions and capabilities help pre-service teachers prepare for the changing identities of being a teacher in AI-integrated education....

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The educational application of Generative AI (GAI) has garnered significant interest, sparking discussions about the pedagogical value of GAI-generated content. This study investigates the perceived effectiveness of concept explanations produced by GAI compared to those created by human teachers, focusing on programming concepts of sequence, selection, and iteration. The research also explores teachers' and students' ability to discern the source of these explanations. Participants included 11 teachers and 70 sixth-grade students who were presented with concept explanations created or generated by teachers and ChatGPT. They were asked to evaluate the helpfulness of the explanations and...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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In this factor-informed exploratory CFA/SEM study, AI-literacy-related domains were treated as theoretically informed and empirically tested predictors of AI-TPACK readiness rather than as fully validated independent latent variables. Artificial intelligence (AI) is increasingly entering mathematics education, making it important to understand how preservice teachers become ready to integrate AI-supported tools pedagogically. This study examined AI-TPACK readiness among 130 preservice mathematics teachers at a South African public university. Exploratory factor analysis using polychoric correlations indicated that the AI-TPACK readiness items were essentially unidimensional; one weak design...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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La inteligencia artificial (IA) ha emergido como una herramienta poderosa en diversos sectores, incluida la enseñanza. En el contexto de la instrucción de español como lengua extranjera (ELE), la IA ofrece oportunidades para transformar los métodos tradicionales de enseñanza y aprendizaje. Este artículo explora las actitudes didácticas del profesorado ante la inclusión de herramientas de IA en el proceso de enseñanza-aprendizaje de ELE. Se presenta un análisis detallado de las aplicaciones de IA más destacadas y conocidas en el ámbito docente, sus posibles usos y beneficios, así como las percepciones y experiencias de los profesores en relación con estas tecnologías.

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Tipo: artículo

Metodología: estudio empírico

Temas: AICLE/CLIL

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En la educación superior en Reino Unido, en los planes de estudio donde se enseña español, se distingue entre asignaturas denominadas de lengua —donde se aprende el idioma— y las denominadas “de contenido” —que tratan la historia, la política o la literatura en los países donde se habla español y se imparten en inglés—. Este artículo se apoya en el análisis temático de entrevistas a profesores universitarios de ELE en Reino Unido para explorar si el empleo del enfoque AICLE (Aprendizaje integrado de Contenido y Lenguas Extranjeras) puede facilitar la colaboración entre docentes de ambos tipos de asignaturas.

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Tipo: artículo

Metodología: estudio empírico

Temas: identidad

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This study examines how language teacher identity shapes technology integration through the lens of the Technological Pedagogical Content Knowledge-language teacher identity framework. A mixed-methods design was employed, involving survey data from 320 university foreign-language teachers and qualitative data from interviews, observations, and journals with 30 participants. Quantitative results showed that pedagogical beliefs and self-efficacy significantly predicted Technological Pedagogical Content Knowledge levels. Qualitative findings revealed that identity conflicts, especially tensions between traditional roles and innovation demands, often constrained technology use, despite high confidence or competence. By foregrounding identity as a mediating mechanism, the study positions the Technological Pedagogical Content Knowledge-...

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