Tipo: informe

Metodología: estudio empírico

Temas: inteligencia artificial educación superior práctica docente

Temas IA: IA y educación guía ética de la IA

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Informe final del comité creado por el MIT para estudiar el uso de la inteligencia artificial en la docencia, el aprendizaje y la formación investigadora, presentado el 13 de agosto de 2026 tras cinco meses de consulta a la comunidad universitaria. Lo firman quince miembros —profesorado de las cinco escuelas, estudiantes de grado y posgrado y personal de bibliotecas y del Teaching and Learning Lab— bajo la copresidencia de Eric Klopfer y Sam Madden, y se plantea como una llamada a la acción, no como un reglamento de uso.

El texto formula ocho principios rectores —humildad, audacia, poner a las personas en el centro, apostar por el...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial tecnología educativa evaluación

Temas IA: IA y educación revisión de bibliografía

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Applications of artificial intelligence in education (AIEd) are emerging and are new to researchers and practitioners alike. Reviews of the relevant literature have not examined how AI technologies have been integrated into each of the four key educational domains of learning, teaching, assessment, and administration. The relationships between the technologies and learning outcomes for students and teachers have also been neglected. This systematic review study aims to understand the opportunities and challenges of AIEd by examining the literature from the last 10 years (2012–2021) using matrix coding and content analysis approaches. The results present the current focus of AIEd...

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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: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial alfabetización en IA competencia digital

Temas IA: conceptos básicos IA y educación revisión de bibliografía

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Artificial Intelligence (AI) is prevalent in nearly every aspect of our lives. However, recent studies have found a significant amount of confusion and misunderstanding surrounding AI. To develop effective educational programs in the field of AI, it is vital to examine and understand learners' pre- and misconceptions as well as myths about AI. This study examined a corpus of 591 studies. 25 relevant studies were identified by applying the following eligibility criteria: English-written original empirical research on education and AI and reporting AI conceptions in a formal learning context. The review found studies from six continents, with the majority conducted in Europe and North...

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Tipo: otro

Temas: inteligencia artificial publicaciones académicas enseñanza/aprendizaje de lenguas

Temas IA: revisión de bibliografía IA y enseñanza-aprendizaje de lenguas IA y educación

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Repertorio bibliográfico de actualización continua sobre inteligencia artificial generativa, mantenido por Gonzalo Abio (Universidade Federal de Alagoas) y organizado en dos grandes bloques: IA en la enseñanza de lenguas e IA en la educación en general. Dentro de cada bloque las referencias se agrupan por tipo —números monográficos y libros, artículos, informes y normativa.

Empezó el 17 de junio de 2023 con 9 referencias del primer bloque y 15 del segundo. La actualización del 31 de agosto de 2026 reúne 737 referencias —343 y 394 respectivamente— en 141 páginas. El autor la revisa y amplía de forma constante.

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Tipo: guía

Temas: inteligencia artificial tecnología educativa herramientas

Temas IA: prompts guía IA y educación

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Guía práctica de Google for Education, publicada en julio de 2026 y elaborada «en colaboración con docentes de todo el mundo», para que el profesorado y los equipos directivos de primaria y secundaria empiecen a usar las herramientas de IA de la empresa: Gemini for Education, Gemini Notebook y Gemini in Classroom. Se propone tres objetivos: aplicar buenas prácticas de redacción de prompts, conocer las funciones principales de la aplicación —Gems, Canvas, Deep Research— y llevarlas a la enseñanza, el aprendizaje y la gestión.

Organización: alrededor de un centenar de propuestas agrupadas por ámbito...

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Tipo: informe

Temas: inteligencia artificial tecnología educativa educación primaria y secundaria

Temas IA: IA y educación ética de la IA

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The U.S. Department of Education (Department) is committed to supporting the use of technology to improve teaching and learning and to support innovation throughout educational systems. This report addresses the clear need for sharing knowledge and developing policies for "Artificial Intelligence," a rapidly advancing class of foundational capabilities which are increasingly embedded in all types of educational technology systems and are also available to the public. We will consider "educational technology" (edtech) to include both (1) technologies specifically designed for educational use, as well as (2) general technologies that are widely used in educational settings. Recommendations in this report seek to...

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Tipo: artículo

Metodología: propuesta didáctica

Temas: inteligencia artificial grandes modelos de lenguaje ChatGPT

Temas IA: IA y educación IA y creación de materiales prompts

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This paper provides guidance for using AI to quickly and easily implement evidence-based teaching strategies that instructors can integrate into their teaching. We discuss five teaching strategies that have proven value but are hard to implement in practice due to time and effort constraints. We show how AI can help instructors create material that supports these strategies and improve student learning. The strategies include providing multiple examples and explanations; uncovering and addressing student misconceptions; frequent low-stakes testing; assessing student learning; and distributed practice. The paper provides guidelines for how AI can support each strategy, and discusses both the promises and perils of this approach, arguing that AI may act as a “force multiplier” for instructors if implemented cautiously and thoughtfully...

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Tipo: artículo

Metodología: propuesta didáctica

Temas: inteligencia artificial chatbots tecnología educativa

Temas IA: IA y educación IA y aprendizaje prompts

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Chatbots are able to produce high-quality, sophisticated text in natural language. The authors of this paper believe that AI can be used to overcome three barriers to learning in the classroom: improving transfer, breaking the illusion of explanatory depth, and training students to critically evaluate explanations. The paper provides background information and techniques on how AI can be used to overcome these barriers and includes prompts and assignments that teachers can incorporate into their teaching. The goal is to help teachers use the capabilities and drawbacks of AI to improve learning.

Tres barreras del aprendizaje: el trabajo propone usar la IA para superar tres obstáculos habituales en el aula —mejorar la transferencia de lo aprendido a situaciones nuevas, romper la ilusión de...

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Tipo: artículo

Metodología: propuesta didáctica

Temas: inteligencia artificial grandes modelos de lenguaje tecnología educativa

Temas IA: IA y educación IA y aprendizaje prompts

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This paper examines the transformative role of Large Language Models (LLMs) in education and their potential as learning tools, despite their inherent risks and limitations. The authors propose seven approaches for utilizing AI in classrooms: AI-tutor, AI-coach, AI-mentor, AI-teammate, AI-tool, AI-simulator, and AI-student, each with distinct pedagogical benefits and risks. The aim is to help students learn with and about AI, with practical strategies designed to mitigate risks such as complacency about the AI's output, errors, and biases. These strategies promote active oversight, critical assessment of AI outputs, and complementation of AI's capabilities with the students' unique insights. By challenging students to remain...

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