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Bibliografía: inglés

Nº de publicaciones: 1921
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Governing the unseen: A systematic review of AI literacy among language teachers in higher education
Yanyao Deng, Ferdi Çelik, Volkan Duran (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

This systematic review is a synthesis of 32 empirical and conceptual studies published between December 2022 and March 2026 to investigate AI literacy among language teachers in higher education. The review has answered four research questions related to conceptualisations of AI literacy, pedagogical practices and professional-development models, assessment approaches, and reported outcomes, challenges, and gaps guided by the theoretical lens of governing the unseen, which prefigures institutional policies. Based on PRISMA 2020, the systematic search of ERIC, the British Educational Index, and Web of Science resulted in the identification of studies, which were subjected to thematic...

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Artificial intelligence in higher education: Modelling students’ motivation for continuous use of ChatGPT based on a modified self-determination theory
Nagaletchimee Annamalai, Brandford Bervell, Dickson Okoree Mireku (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The purpose of this study was to investigate the determinants of higher education students' motivation towards continuous usage of ChatGPT for English language learning, based on a modified Self-Determination Theory (SDT). A quantitative approach hinged on a cross-sectional survey design was adopted, and an online questionnaire used to collect data from 324 students studying English as Foreign Language (EFL) and English as a Second Language (ESL). The data were analyzed using a Partial Least Squares-Structural Equation Modelling (PLS-SEM) technique. This study established that initial ChatGPT usage determined students' perceived autonomy, competence, relatedness and challenges in ChatGPT...

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Entonación y prosodia de las lenguas extranjeras. Presentación de los Editores invitados
Empar Devis, José Torregrosa Azor (2023)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: prosodia

Resumen:

Texto completo

Presentación del monográfico, en edición bilingüe español-inglés. Los editores invitados trazan el estado de la cuestión de la investigación prosódica: el fuerte crecimiento de los estudios sobre entonación y prosodia desde el último tercio del siglo XX, impulsado por instrumentos de análisis acústico más precisos y por el acceso a grandes volúmenes de datos, y la consolidación de distintos modelos descriptivos de la entonación y de los fenómenos prosódicos y expresivos asociados.

Contenido: presenta los trabajos del número, dedicados al análisis melódico de la entonación en varias lenguas y en la interlengua de aprendices. Incluye...

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Developing and validating the scale of language teachers’ design thinking competency in artificial intelligence language teaching (LTDTAILT)
Amir Reza Rahimi (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Design thinking (DT) is one of the critical 21st-century digital skills that allows individuals to solve real-world problems by redesigning their problem procedure to achieve the desired outcome. Nowadays, cultivating DT within any educational program is becoming increasingly important for teachers since Artificial Intelligence (AI) and chatbots are available to all students. However, teachers themselves need to possess DT competency to effectively cultivate it in their students, particularly in humanistic fields like applied linguistics, Computer Assisted Language Learning (CALL), and Artificial Intelligence Language Teaching (AILT). For this reason, the researcher in the current study...

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Conceptualizing AI literacies for children and youth: A systematic review on the design of AI literacy educational programs
Osnat Atias, Areej Mawasi (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

The growing presence of Artificial Intelligence (AI) in society increases the exposure of children and youth to these technologies. In response, recent research introduced educational programs that foster AI knowledge and competencies, collectively comprising AI literacy. This study presents a systematic review of 23 articles published up to 2023 describing AI literacy programs for children and youth. We examined: (1) motivations for teaching AI literacy, (2) conceptualizations of AI literacy that informed program design, and (3) learning theories and pedagogical methods employed. The analysis identified five motivational themes: workforce, informed users, purposeful creators, advocacy, and...

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Leading digital transformation and eliminating barriers for teachers to incorporate artificial intelligence in basic education in Hong Kong
Eric Chi Keung Cheng, Tianchong Wang (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

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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Modeling generative AI adoption in higher education: An integrated TAM–TPB–SDT framework with SEM validation
Dina Tbaishat, Omar AlFandi, Faten Hamad (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study investigates the determinants of university students' adoption of generative artificial intelligence (GAI) tools in higher education. Integrating the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), and Self-Determination Theory (SDT), it develops and tests a complete model that captures cognitive, social, and motivational influences on adoption. A cross-sectional survey was conducted among 517 undergraduate and postgraduate students at Jordanian universities. The data were analyzed using structural equation modeling (SEM) with a two-step approach: confirmatory factor analysis (CFA) to validate the measurement model, followed by SEM to test the...

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Towards human-AI collaboration in the competency-based curriculum development process: The case of industrial engineering and management education
Antonio Padovano, Martina Cardamone (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

In the endeavor to advance industrial engineering and management (IEM) education, this research underscores the imperative of supporting a dynamic and responsive adaptation of a competency-based curriculum (CBC) to meet the demands of an ever-evolving industrial landscape and job market. Our study contributes to competency-based education (CBE) by demonstrating how Artificial Intelligence (AI) can inform the definition of a CBC in the IEM field, thus initiating the pioneering steps towards a collaborative human-AI approach in CBC design. Through a stepwise methodology based on semantic analysis, text mining, natural language processing (NLP) models, informetrics approaches, and clustering...

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Preparing pre-service teachers for responsible generative AI use: Curriculum implications for ethics, privacy, and AI literacy
Lucas Kohnke, Di Zou, Chun Lai (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study investigated what pre-service teachers should learn about generative artificial intelligence (GenAI) by backtracking from anticipated classroom dilemmas to teacher-education design needs. Through qualitative interviews with 17 pre-service teachers at a Hong Kong university, the research explored perspectives on integrating AI into education, focusing on ethical concerns and pedagogical strategies. Grounded in the interpretivist paradigm, it revealed concerns about academic integrity, privacy and the challenge of maintaining essential human skills in a GenAI-driven educational environment. Although pre-service teachers recognised GenAI's potential to enhance teaching and learning...

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Teachers' and students' perceptions of AI-generated concept explanations: Implications for integrating generative AI in computer science education
Soohwan Lee, Ki-Sang Song (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

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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