Tipo: artículo de blog

Metodología: trabajo teórico

Temas: inteligencia artificial educación superior evaluación

Temas IA: IA y educación IA y aprendizaje

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Jon Dron reúne en este texto las conclusiones a las que ha llegado sobre la inteligencia artificial generativa. Sostiene que los modelos de lenguaje no son humanos pero están hechos casi por entero de conocimiento humano, y rechaza por igual la lectura que los reduce a «loros estocásticos» y la que los presenta como antesala de una inteligencia general.

Discute el término herramienta: una herramienta extiende las capacidades de quien la usa y permanece bajo su control, mientras que estos sistemas las sustituyen y encadenan tareas sin intervención humana continua; propone llamarlos metatools. Frente a la idea de «descarga cognitiva» habla de redistribución cognitiva, porque la cognición ya era distribuida, y describe cómo configura distintos asistentes para que le discutan y le...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial teoría sociocultural teorías de aprendizaje

Temas IA: IA y aprendizaje

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Debates about the implications of generative AI in education largely frame AI as a tool—an extension of existing mediational means that support human activity. Drawing on sociocultural theory, we propose the alternate concept of mediational agent to describe a class of systems that not only mediate action but also participate in interaction by generating contingent, responsive contributions. This reconceptualization challenges a foundational distinction between mediation and social interaction and has important implications for educational practice. It calls for the cultivation of durable, human-centered habits of participation that sustain learners’ agency and judgement in AI-mediated activity. We argue that these habits...

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Tipo: informe

Temas: inteligencia artificial tecnología educativa evaluación

Temas IA: IA y educación IA y aprendizaje IA y evaluación

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The OECD Digital Education Outlook 2026 explores emerging research on the use of generative AI in education and presents innovative tools and applications that show promise. The report examines the use of generative AI in different teaching and learning scenarios: by students to learn subject knowledge, by students and teachers together as part of instruction, and by teachers alone to support their work in the classroom. The Outlook also showcases how generative AI can enhance the efficiency of education institutions and systems, such as research, analysis of learning pathways and support for study advisors. While highlighting...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial cognición y procesamiento pensamiento crítico

Temas IA: IA y aprendizaje ética de la IA revisión de bibliografía

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Artificial intelligence (AI) is rapidly being integrated into educational contexts, promising personalized support and increased efficiency. However, growing evidence suggests that the uncritical adoption of AI may produce unintended harms that extend beyond individual learning outcomes to affect broader societal goals. This paper examines the societal implications of AI in education through an integrative framework with four interrelated dimensions: cognition, agency, emotional well-being, and ethics. Drawing on research from education, cognitive science, psychology, and ethics, we synthesize existing evidence to show how AI-driven cognitive offloading, diminished learner agency, emotional disengagement, and surveillance-...

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Tipo: artículo de blog

Metodología: trabajo teórico

Temas: inteligencia artificial expresión escrita evaluación

Temas IA: IA y aprendizaje IA y educación

Resumen:

Alec Couros se opone a una práctica que se está extendiendo en las aulas: pedir a los estudiantes que analicen y critiquen textos generados por la IA en lugar de escribir los suyos. Señala tres supuestos erróneos detrás de esa idea: que se puede analizar críticamente un texto sin haber pasado por la experiencia de escribir, que el pensamiento crítico funciona separado de la producción propia y que los modelos seguirán mejorando sin textos escritos por personas (el riesgo de degradación que se produce cuando la IA se entrena con sus propios resultados).

Para el autor, el esfuerzo de la composición es precisamente lo que desarrolla la capacidad de análisis, y eliminarlo elimina el aprendizaje. Propone usar la IA como colaboradora en la revisión y no como sustituta de la escritura, recurrir a...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial alfabetización en IA competencia digital

Temas IA: IA y educación IA y aprendizaje ética de la IA

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Although studied for decades by the research community, artificial intelligence (AI) in education has recently sparked much public debate with the wide-spread popularity of systems such as ChatGPT and DALL-E. Existing literature offers a wealth of research on design, deploying and evaluating AI-driven systems in education. However, the challenges related to the growing influence of AI in the society, calls for revisiting research foundations of AI in education in order to inform decision-making in policy and guide future research. This special issue of Computers & Education: Artificial Intelligence brings 11 papers that explore the theme of empowering learners for the age of AI...

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Tipo: capítulo

Metodología: trabajo teórico

Temas: inteligencia artificial integridad académica inclusión y equidad

Temas IA: IA y educación IA y aprendizaje

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The rapid rise in use of generative AI (GenAI) systems has sparked debate in educational settings, resulting in reactionary bans to mitigate concerns about academic dishonesty and learning outcomes. Such bans fail to address the underlying challenges AI presents while overlooking its potential benefits. This paper examines the limitations of outright bans and proposes that the successful integration of AI in education requires alignment of tasks, systems and metrics. By analyzing existing studies and real world examples, we demonstrate how thoughtfully designed AI systems can enhance learning and reduce inequalities. The paper concludes with actionable recommendations for educators and...

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Tipo: capítulo

Metodología: propuesta didáctica

Temas: inteligencia artificial aprendizaje basado en proyectos aprendizaje colaborativo

Temas IA: IA y educación IA y aprendizaje

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When working in interdisciplinary or multidisciplinary group projects, students run into different types of conflicts. These conflicts often hinder their work progress and negatively affect their learning experience, which impedes achieving course learning outcomes. Equipping students with the knowledge to strategically work together in a collaborative team, understanding how conflicts arise and the proper techniques to resolve them, is key in supporting diversity, inclusion, and student learning. The instructor developed a teaching module covering research-based information and techniques to help students...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT expresión escrita

Temas IA: chatGPT IA y aprendizaje estudio empírico

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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: trabajo teórico

Temas: inteligencia artificial aprendizaje colaborativo interacción

Temas IA: IA y aprendizaje ética de la IA chatbots

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This opinion paper explores educational interactions involving humans and artificial intelligences not as sequences of prompts and responses, but as a social process of conversation and exploration. In this conception, learners continually converse with AI language models and other human learners within a dynamic computational medium of internet tools and resources. Learning happens when this distributed human-AI system sets goals, builds meaning from data, consolidates understanding, reconciles differences, and transfers knowledge to new domains. Building social generative AI for education will require development of powerful AI systems that can converse with each other as well as humans,...

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