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  • 2025

Bibliografía: 2025

Nº de publicaciones: 636
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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 โœ•

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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Objective measurement of AI literacy: Development and validation of the AI competency objective scale (AICOS)
André Markus, Astrid Carolus, Carolin Wienrich (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

As Artificial Intelligence (AI) becomes increasingly pervasive in everyday life, AI literacy is widely recognized as a set of essential competencies for navigating AI-driven environments safely, responsibly, and effectively. There is a growing need to assess this construct, for example, to inform targeted educational interventions. Although several measurement tools already exist, many show limitations regarding subjective data collection methods, differentiation between target groups, validity, and the integration of recent developments, such as Generative AI literacy. To address these limitations, this study introduces the AI Competency Objective Scale (AICOS) - an instrument grounded in...

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Significado y pragmática del pluscuamperfecto de indicativo: reflexión gramatical en la clase de español para estudiantes polacohablantes
Maciej Jaskot, Agnieszka Wiltos (2025)
Philologia Hispalensis
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: pretérito pluscuamperfecto

Resumen:

Texto completo

El pluscuamperfecto de indicativo (PPI) es uno de los tiempos verbales a los que se dedica muy poca atención en las clases de español (ELE) en las universidades polacas. Las diferencias en la organización de las relaciones temporales entre el español y el polaco (biaxialidad vs. monoaxialidad) hacen que el dominio del PPI resulte problemático. En este artículo se revisa la información gramatical sobre este tiempo verbal en una selección de materiales utilizados en los estudios de filología española impartidos en tres centros académicos polacos. Se discuten los posibles problemas (aspectuales y modales) en la adquisición de la pragmática del PPI debidos a la falta de un equivalente...

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Assessing reading fluency in elementary grades: A machine learning approach
Gabriel Candido da Silva, Rodrigo Lins Rodrigues, Américo N. Amorim (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study compares eleven widely used machine learning algorithms to identify the most accurate and comprehensive method for assessing children's reading fluency. Our fluency framework integrates three key dimensions: accuracy in word decoding, reading speed (words per minute), and prosody, which captures appropriate pausing and intonation during reading. Audio recordings from 2nd and 3rd grade students across 144 Brazilian schools were transcribed using the advanced Whisper ASR system, enabling automated extraction of fluency features. The research objective was to determine which algorithm best predicts fluency, considering diverse evaluation setups including binary classification (...

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Developing generative AI literacies through self-regulated learning: A human-centered approach
Abram D. Anders, Emily Dux Speltz (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Generative artificial intelligence (AI) creates both opportunities for enhanced learning and risks of skill erosion and dependency. This exploratory, mixed-methods study investigated how to design AI learning experiences using a human-centered approach that promotes student agency. We developed and investigated an integrated framework combining comprehensive generative AI literacies—functional, critical and ethical, and creative—with self-regulated learning (SRL) processes operationalized as a human-centered Plan, Iterate, Evaluate cycle. Thirty-eight undergraduate students enrolled in an “Artificial Intelligence and Writing” course completed scaffolded experiential challenges followed by...

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Opportunities, challenges and school strategies for integrating generative AI in education
Davy Tsz Kit Ng, Eagle Kai Chi Chan, Chung Kwan Lo (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The increasing accessibility of Generative Artificial Intelligence (GenAI) tools has led to their exploration and adoption in education. This qualitative study investigates the opportunities and challenges associated with integrating GenAI in education, and the strategies that encourage teachers and students to embrace GenAI in school settings. We recruited 76 educators in Canada to participate in a professional training seminar about GenAI and expressed their views through online surveys. Through written reflections, an optimistic outlook on GenAI's role in education was identified among the teachers, and some discipline-specific ideas were proposed. Thematic analysis reveals three key...

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Integrating flipped learning in AI-enhanced language learning: Mapping the effects on metacognitive awareness, writing development, and foreign language learning boredom
Ehsan Namaziandost (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The increasing integration of Artificial Intelligence (AI) within educational contexts is fostering significant pedagogical shifts, with flipped learning concurrently gaining prominence as a dynamic, student-centered instructional model. Despite their individual merits, there remains a paucity of empirical research on the synergistic effects when AI enhances flipped learning, particularly concerning crucial EFL learner variables such as metacognitive awareness, writing development, and foreign language boredom. This study, therefore, aimed to address this gap by examining the impact of an AI-enhanced flipped learning environment. To this end, a quasi-experimental design was implemented...

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Mapping the evolution of AI in education: Toward a co-adaptive and human-centered paradigm
Shihui Feng, Huilin Zhang, Dragan Gaševiฤ‡ (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

This study analyzes 2398 research articles published between 2020 and 2024 across eight core venues related to the field of Artificial Intelligence in Education (AIED). Using a three-level knowledge co-occurrence network analysis, this study analyzes the knowledge structure of the field, the evolving knowledge clusters, and the emerging frontiers. The findings reveal that AIED research is centered on developing AI-assisted systems and using AI to support educational analysis, with sustained themes such as intelligent tutoring systems, learning analytics, and natural language processing, alongside rising interest in large language models (LLMs) and generative artificial intelligence (GenAI...

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Integrating generative artificial intelligence in K-12 education: Examining teachers’ preparedness, practices, and barriers
Yin Hong Cheah, Jingru Lu, Juhee Kim (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Despite the growing body of research on developing K-12 teachers' generative AI (GenAI) knowledge and skills, its integration into daily teaching practices remains underexplored. Using a snowball sampling method, this study examined the preparedness, practices, and barriers encountered by 89 U.S. teachers in the state of Idaho. Participants were predominantly White, female teachers serving in rural schools. A mixed-methods analysis of survey responses revealed that teachers were generally underprepared for integrating GenAI, with fewer than half incorporating it into their educational practices. Unlike the widespread classroom integration patterns observed with general educational...

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A scoping literature review of generative artificial intelligence for supporting neurodivergent school students
Michelle Ronksley-Pavia, Lan Nguyen, Elizabeth Wheeley (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

While Generative Artificial Intelligence (GenAI) platforms like ChatGPT have gained significant traction in education, their specific applications for neurodivergent learners remain largely unmapped. Through systematic searching of academic databases and grey literature between 2020 and 2024, this scoping literature review examined the emerging landscape of GenAI applications in supporting neurodivergent students (e.g., those with ADHD, autism, dyslexia, gifted, twice-exceptional) within K-12 educational contexts. Twenty-one relevant sources were identified, discussing GenAI usage with neurodivergent students, the analysis revealed discussion of several predominant applications, including...

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