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  • 2026

Bibliografía: 2026

Nº de publicaciones: 473
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The IDEA framework for metacognitively regulated GenAI use in higher education: Development and exploratory pilot evidence
Xiangpeng Wang, Ziwei Zheng, Jincheng Zhang (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

Texto completo

Generative artificial intelligence (GenAI) can enhance students’ efficiency and the apparent quality of academic work, yet its fluent outputs may encourage learners to outsource cognitive activities central to learning. This creates the risk of “performance without learning”, whereby successful task completion does not necessarily reflect meaningful understanding or learner regulation. To address this concern, this article develops the Intent, Deconstruction, Expression, and Adaptation (IDEA) framework, a theory-informed metacognitive scaffold for GenAI-supported academic work. IDEA guides learners to articulate goals and constraints, decompose tasks into essential processes, communicate...

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Expresión emocional en español/L2: un análisis cualitativo de narrativas de enfado en hablantes bilingües
Susana Dimas Cintas (2026)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: factores afectivos

Resumen:

Texto completo

Este estudio compara la expresión verbal de la emoción en hablantes bilingües en función de la lengua empleada, inglés L1 o español L2. Veinte universitarios estadounidenses, con nivel intermedio de español y en contexto de inmersión, produjeron narrativas orales sobre experiencias personales de enfado en ambas lenguas. Mediante un análisis mixto que combinó técnicas cualitativas de anotación y etiquetado con métodos cuantitativos, se examinó la presencia y frecuencia de las emociones expresadas. Los resultados muestran que la expresión emocional es en gran medida equiparable entre L1 y L2, sin una ventaja sistemática de una lengua sobre otra, aunque se observan diferencias en la...

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AI adoption readiness among Ukrainian education managers: Barriers, typologies, and policy implications
Vasyl G. Kremen, Oleh M. Spirin, Oleksandr I. Liashenko (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Artificial intelligence (AI) adoption in education requires strategic leadership from education managers, yet little research examines AI readiness among this stakeholder group, particularly in post-Soviet transitional contexts. As decision-makers who control whether and how AI enters educational practice, managers’ readiness is essential for evidence-based policy. This study investigates (1) the current state of AI adoption readiness among Ukrainian education managers, including the gap between personal and institutional readiness; (2) the barriers and facilitators that most strongly influence AI readiness; (3) distinct manager typologies based on readiness profiles; and (4) policy...

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Design of a science integrated secondary school AI literacy curriculum: A youth & AI expert guided design-based research approach
Katherine S. Moore, Gabrielle Rabinowitz, Safinah Ali (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Educators are facing the challenge of redesigning curricula to integrate artificial intelligence (AI) and machine learning (ML) methods in a way that is relevant and engaging to youth. Design-based research (DBR) presents a unique opportunity to conduct iterative re-design of these curricula while incorporating feedback from stakeholders including youth and professionals in the field. In this paper we present a mixed methods analysis of the iterative design of an informal science-integrated ML curriculum for high school youth enrolled in a four-week summer program. Each step of the two year DBR process was informed by input from our advisory board consisting of alumni and industry experts....

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Students’ engagement with generative AI in academic learning: A self-determination theory and epistemic network analysis study
Razia Isaeva, H. Nuran Caner, Mustafa Caner (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This qualitative case study examines undergraduate students’ engagement with generative artificial intelligence (GenAI) in academic learning in an English-medium university setting. This study employs self-determination theory (SDT) as the primary interpretive framework, treating technology acceptance perceptions (e.g., usefulness and ease of use) as descriptive cues rather than explanatory constructs. Data from 23 semi-structured interviews were analyzed using reflexive thematic analysis, complemented by epistemic network analysis (ENA) to examine the structural relationships among themes in students’ discourse, with automated coding validated against a manually coded subset. Students...

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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 โœ•

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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Artificial Intelligence in English as a foreign language learning: A systematic review of technologies, tools, and their impacts
William Ko-Wai Tang, Xue-Ying Zhang (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

This study undertook a thorough systematic review of the existing literature on artificial intelligence (AI) technologies and AI-based tools for English as a foreign language (EFL) learning and explored the current research state with the goal of identifying areas for enhancement to optimize language learning for EFL learners. A qualitative research method (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) was adopted and three steps were conducted to guide the review. This study examined 708 articles published from 2019 to 2024 and retained 103 in total. The findings show steady increase in literature between 2019 and 2024, predominantly centred on higher education...

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Assessing ChatGPT-generated comments for video-based learning content to enhance knowledge and emotional support based on scaffolding theory
Jiaqi Wang, Yegang Du, Qun Jin (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

With the rise of Generative Artificial Intelligence (GenAI), tools such as ChatGPT have shown great potential in enhancing online learning. However, existing applications in video-based learning remain limited, as they typically require learners to pause or switch interfaces to access AI support, disrupting learning continuity. To address this challenge, this study proposes a framework that utilizes ChatGPT to generate comments for an individual learner (i-Comments), displayed as scrolling text over educational videos, providing both knowledge and emotional support based on scaffolding theory. The present study evaluates the framework's generation capabilities to gain empirical insight that...

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Artificial intelligence agents in computer-supported collaborative learning: A systematic literature review
Shen Ba, Xuechun Shi, Shuang Wu (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

Artificial intelligence (AI) agents are rapidly reshaping the landscape of computer-supported collaborative learning (CSCL), presenting both new opportunities and challenges for educators and learners. Despite their increasing prevalence, there remains a lack of comprehensive, theory-informed synthesis regarding the roles and impacts of AI agents within CSCL. This systematic literature review analyses 46 empirical studies published between 2014 and 2025, with the aim of clarifying the methodological and contextual characteristics of the field, the pedagogical and technological features of AI-mediated CSCL environments, the instructional and mediational functions of AI agents, and the...

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Conversational AI as a catalyst for informal learning: An empirical large-scale study on LLM use in everyday learning
Naฤ‘a Terzimehiฤ‡, Babette Bühler, Enkelejda Kasneci (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Large language models have not only captivated the public imagination but have also sparked a profound rethinking of how we learn. In the third year following the breakthrough launch of ChatGPT, everyday informal learning has been transformed as these novel tools become easily and widely available. Who is embracing LLMs for self-directed learning, and who remains hesitant? What are their reasons for adoption or avoidance? What learning patterns emerge with this novel technological landscape? We present an in-depth analysis from a large-scale survey of 776 German participants, showcasing that 88% of our respondents already incorporate LLMs into their everyday learning routines for a wide...

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