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Bibliografía: inglés

Nº de publicaciones: 1921
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Impact of AI-generated storytelling vs. gamified learning on vocabulary retention and engagement in CALL environments
Ehsan Namaziandost, Fidel Çakmak (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Artificial Intelligence (AI) and gamified learning have attracted interest from language educators and researchers in the field of teaching English as a Foreign Language (EFL) for their potential to enhance vocabulary acquisition outcomes. However, the relative effectiveness of AI-generated storytelling and gamified learning in EFL vocabulary acquisition has been underexplored. This study examines the influence of AI-generated storytelling and gamified learning on the vocabulary retention and engagement of intermediate-level EFL learners. Ninety participants were allocated among three groups: a control group that employed conventional vocabulary methods (e.g., rote memorization using...

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Towards the development of complex thinking in university students: Mixed methods with ideathon and artificial intelligence
Isolda Margarita Castillo-Martínez, Amadeo José Argüelles-Cruz, Octavio Elías Piñal-Ramírez (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This article examines the capacity of an artificial intelligence (AI) platform to assess university students' mastery of complex thinking. Central questions addressed include the identification of essential technical elements that contribute to the platform's effectiveness, and how the AI platform can boost student motivation and cultivate complex thinking. The research employed a mixed-methods approach, anchored by an Ideathon centered on the Sharing Economy. Qualitative insights were drawn from semi-structured interviews with nine university students. The results indicate that the platform effectively evaluates complex thinking proficiency, differentiating between systemic, scientific,...

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Exploring the relationship between empowerment in using artificial intelligence for problem-solving and artificial intelligence ethical awareness: Multi-group structural equation modelling
Siu-Cheung Kong, Jinyu Zhu (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

While increasing attention has been given to cultivating students' artificial intelligence (AI) ethical awareness, the factors that contribute to its development remain underexplored. Psychological empowerment is a crucial motivational factor influencing students' intentions to incorporate ethical norms in developing AI-based solutions. Hence, this study filled this up by exploring the relationship between empowerment in using AI for problem-solving and AI ethical awareness. Empowerment in using AI for problem-solving in this study comprised three components: impact, self-efficacy and meaningfulness. Data was collected from 681 students from secondary schools and a university in Hong Kong....

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Co-creation in action: Bridging the knowledge gap in artificial intelligence among innovation champions
Elizabeth Irenne Yuwono, Dian Tjondronegoro, Carla Riverola (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The increasing significance of artificial intelligence (AI) in various industries highlights the necessity for industry leaders and professionals to comprehend and gain knowledge about AI. The urgency for AI literacy is more critical than ever due to the potential unethical use of AI resulting from insufficient knowledge. This issue is particularly crucial for educators because they need to understand and adapt to the impact of AI within educational institutions, with some needing to use and become literate in AI, given that students now have increased access to public AI tools. This research presents a multi-phase study to address the issue of bridging the knowledge gap in AI by conducting...

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The impact of item-writing flaws on difficulty and discrimination in item response theory
Robin Schmucker, Steven Moore (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

High-quality test items are essential for educational assessments, particularly within Item Response Theory (IRT). Traditional validation methods rely on resource-intensive pilot testing to estimate item difficulty and discrimination. More recently, Item-Writing Flaw (IWF) rubrics emerged as a domain-general approach for evaluating test items based on textual features. This method offers a scalable, pre-deployment evaluation without requiring student data, but its predictive validity concerning empirical IRT parameters is underexplored. To address this gap, we conducted a study involving 7,126 multiple-choice questions across various STEM subjects (physical science, mathematics, and life/...

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AI in informal digital English learning: A meta-analysis of its effectiveness on proficiency, motivation, and self-regulation
Lihang Guan, Shaofeng Li, Mingyue Michelle Gu (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

This meta-analysis examines the efficacy of generative artificial intelligence (GenAI) in second language acquisition within self-directed, out-of-classroom informal contexts. A total of 15 studies meeting the inclusion criteria were identified that examined the impact of GenAI on second-language proficiency, motivation, and self-regulation. GenAI was shown to have significant effects on English proficiency and self-regulation, demonstrating its versatility in enhancing language learning outcomes. However, GenAI failed to show significant effects on learning motivation, and based on this finding we highlight the need to develop measures of motivation that are suitable for GenAI in education...

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Todo tiene un precio: ¿la tecnología mejora las habilidades escritas de los estudiantes?
Inna Kozlova, Stephen F. Hampshire (2015)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
Detalles Cerrar βœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: traducción automática

Resumen:

Texto completo

This paper analyses Kent Fredholm’s “Online Translation Use in Spanish as a Foreign Language Essay Writing: Effects on Fluency, Complexity and Accuracy” and discusses whether the use of online translation technology such as Google Translate enhances students’ writing skills in a foreign language

Este trabajo analiza “Online Translation Use in Spanish as a Foreign Language Essay Writing: Effects on Fluency, Complexity and Accuracy” de Kent Fredholm y discute si las tecnologías de traducción automàtica en línea como Traductor de Google ayudan a los estudiantes a mejorar sus habilidades de expresión escrita en lengua extranjera.

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Preparing future educators for AI-enhanced classrooms: Insights into AI literacy and integration
Lucas Kohnke, Di Zou, Amy Wanyu Ou (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The rapid transformation of educational practice by artificial intelligence (AI) requires that teacher-education programmes prepare pre-service teachers to integrate AI into their teaching. This qualitative study explores pre-service teachers' perceptions of AI integration in education and identifies the support they need to develop AI literacy. We conducted semi-structured interviews with 15 pre-service teachers and used thematic analysis to interpret the data. Our findings revealed that these future educators recognised AI's potential to enhance personalised learning and increase classroom efficiency but worried about relying on AI too much and losing the human element in teaching. The...

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Exploring an AI-based writing Assistant's impact on English language learners
John Maurice Gayed, May Kristine Jonson Carlon, Angelu Mari Oriola (2022)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The increasing use of English as a Lingua Franca (ELF) worldwide has brought attention to tools that can assist English as a Foreign Language (EFL) learners in their journey to fluency. Much research has shown that EFL learners often do not have sufficient latitude to output at a satisfactory level when writing in a second language. In addition, cognitive (working memory) resources are spent on low-level writing tasks (word production, translation) at the expense of time being allocated to higher-level writing tasks such as organization and revision. The researcher's laboratory developed an AI-based web application called “AI KAKU” to assist EFL learners in reducing the cognitive barriers...

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Generative AI in teacher education: Educators’ perceptions of transformative potentials and the triadic nature of AI literacy explored through AI-enhanced methods
Christopher Neil Prilop, Dana-Kristin Mah, Lucas Jasper Jacobsen (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The release of ChatGPT in November 2022 has sparked discussions about integrating Generative Artificial Intelligence (GenAI) into teacher education. Teacher educators, as key facilitators of pre-service teacher learning, play a critical role in shaping the successful adoption of GenAI. Their perceptions guide curriculum redesign, define promoted practices, and shape how pre-service teachers experience educational uses of GenAI tools, potentially multiplying its impact across future classrooms.This mixed-methods study explored Danish teacher educators’ perceptions of GenAI (n = 91), focusing on its transformative potential and the knowledge pre-service teachers need to acquire. Innovative...

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