Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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Higher education institutions, educators, and students continue to grapple with the wide-ranging implications of Artificial Intelligence (AI) and Generative Artificial Intelligence (GenAI). The ability of advanced GenAI models to complete educational assessments continues to be one of the most pressing issues for academia. In early 2024, we published the AI Assessment Scale (AIAS), which describes a practical framework for addressing GenAI use in educational assessment. The AIAS was well received and has been implemented in hundreds of institutions worldwide and translated into 30 languages. Building on our experience using the AIAS and drawing on feedback and critiques received...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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This study explores the neural and behavioral consequences of LLM-assisted essay writing. Participants were divided into three groups: LLM, Search Engine, and Brain-only (no tools). Each completed three sessions under the same condition. In a fourth session, LLM users were reassigned to Brain-only group (LLM-to-Brain), and Brain-only users were reassigned to LLM condition (Brain-to-LLM). A total of 54 participants took part in Sessions 1-3, with 18 completing session 4. We used electroencephalography (EEG) to assess cognitive load during essay writing, and analyzed essays using NLP, as well as scoring essays with the help from human teachers and an AI judge. Across groups, NERs, n-gram patterns, and topic ontology showed...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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Personalised learning models can assist students in meeting their unique requirements and objectives for expanding their knowledge, perspective, abilities, and understanding of the educational system. With the advancement of artificial intelligence, technological integration has the potential to play a critical role in personalising the learning experience. This work attempts a systematic review that examines the influence of personalised learning enabled by artificial intelligence on the educational system. The review synthesises the latest research literature (January 2015–June 2025) and includes a total of 125 studies that achieved our inclusion criteria to demonstrate how technology...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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This paper builds on Dewey’s philosophy of education to argue that AI, at least in its current commercial form, is likely to have a negative impact on democratic education. AI and other digital technologies are currently being touted for their potential to “democratise” education, even if it is not clear what this would entail. Adopting Dewey’s notion of democratic education, I emphasise that education needs to provide children with skills and dispositions necessary for democratic living, experience in communication and cooperation, opportunities to codetermine the shape of democratic institutions and education itself, and equal opportunities to participate in learning. This allows me to...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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This chapter presents a critical analysis of generative AI (GenAI) detection tools in higher education assessments. The rapid advancement and widespread adoption of GenAI, particularly in education, necessitates a reevaluation of traditional academic integrity mechanisms. I explore the effectiveness, vulnerabilities, and ethical implications of AI detection tools in the context of preserving academic integrity. My analysis synthesizes insights from various case studies, newspaper articles, and student testimonies to scrutinize the practical and philosophical challenges associated with AI detection. I argue that reliance on detection mechanisms is misaligned with the educational landscape, where...

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Tipo: libro

Metodología: propuesta didáctica

Temas: inteligencia artificial

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In these days of an ever-expanding internet, generative AI, and term paper mills, students may find it too easy and tempting to cheat, and teachers may think they can't keep up. What's needed, and what Tricia Bertram Gallant and David A. Rettinger offer in this timely book, is a new approach—one that works with the realities of the twenty-first century, not just to protect academic integrity but also to maximize opportunities for students to learn. The Opposite of Cheating presents a positive, forward-looking, research-backed vision for what classroom integrity can look like in the GenAI era, both in cyberspace and on campus. Accordingly, the book outlines workable measures teachers can use to better understand why students cheat and to prevent cheating while aiming to enhance learning and integrity. Bertram Gallant and Rettinger...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Examines the effects of ChatGPT's Advanced Voice Mode on the development of university students' oral proficiency. Following a sequential explanatory mixed-methods design, the study measured improvement over an 8-week intervention and then gathered learners' perspectives through semi-structured interviews. Quantitative findings showed that fluency and lexical resources increased significantly, but pronunciation did not. The qualitative data focus on three themes: the potential of AI for low-anxiety practice, learners' frustration with the lack of nuanced feedback on accent, and difficulties with real-time corrective functions. The authors propose a «Mixed Dialogical Model» combining...

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Tipo: artículo

Metodología: propuesta didáctica

Temas: inteligencia artificial

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Propuesta de un marco de «semáforo» para regular el uso de la IA generativa en las tareas de lengua: rojo (sin IA, producción autónoma), amarillo (IA solo para lluvia de ideas y preparación, no para el producto final) y verde (uso libre, incluida la generación y revisión de contenido).

La autora ilustra cada categoría con tareas de español e inglés con fines sanitarios, y aborda la formulación de prompts según el nivel de competencia, la evaluación crítica del sesgo cultural del contenido generado, la privacidad de datos y la integridad académica.

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Tipo: artículo

Metodología: experiencia práctica

Temas: inteligencia artificial

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Reseña de Speakology AI, una plataforma de práctica conversacional oral con avatares que actúan como tutores personalizados. El profesorado facilita a la plataforma la información del curso —temas, manual, objetivos— y esta configura los avatares para trabajar con las estructuras y el léxico de ese curso, de modo que el alumnado dispone de práctica oral permanente alineada con el currículo.

La autora describe las prestaciones (cinco avatares más un modo «llamada telefónica» sin imagen, integración con Canvas, Google Classroom y Blackboard, retroalimentación instantánea de gramática y pronunciación con niveles ajustables de explicitud, tareas y exámenes orales, seguimiento del progreso con estimación de...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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La inteligencia artificial se ha incorporado progresivamente a la enseñanza universitaria, ofreciendo oportunidades para mejorar el aprendizaje, pero también riesgos relacionados con la dependencia, el uso acrítico y la obsolescencia de conocimientos. Este estudio identifica criterios que permitan un uso pedagógico y responsable de la IA en la docencia universitaria. Se aplicó la metodología Delphi a un panel de quince docentes universitarios en tres rondas de consulta. Los resultados revelan nueve categorías de recomendaciones, destacando la ética, la formación en uso crítico, la integración en contextos reales y la prevención de prácticas deshonestas.

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