IA: Bibliografía: IA y aprendizaje
Nº de publicaciones: 159Detalles Cerrar β
Tipo: artículo de blog
Metodología: trabajo teórico
Temas: inteligencia artificial educación superior evaluación
Temas IA: IA y educación IA y aprendizaje
Resumen:
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...
Detalles Cerrar β
Tipo: artículo
Metodología: trabajo teórico
Temas: inteligencia artificial teoría sociocultural teorías de aprendizaje
Temas IA: IA y aprendizaje
Resumen:
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...
Detalles Cerrar β
Tipo: informe
Temas: inteligencia artificial tecnología educativa evaluación
Temas IA: IA y educación IA y aprendizaje IA y evaluación
Resumen:
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...
Detalles Cerrar β
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
Resumen:
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-...
Detalles Cerrar β
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...
Detalles Cerrar β
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
Resumen:
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...
Detalles Cerrar β
Tipo: artículo
Metodología: revisión bibliográfica
Temas: inteligencia artificial aprendizaje autónomo analítica del aprendizaje
Temas IA: IA y aprendizaje revisión de bibliografía
Resumen:
The objective of personalized learning is to design an effective knowledge acquisition track that matches the learner's strengths and bypasses his/her weaknesses to ultimately meet his/her desired goal. This concept emerged several years ago and is being adopted by a rapidly growing number of educational institutions around the globe. In recent years, the rise of artificial intelligence (AI) and machine learning (ML), together with advances in big data analysis, has introduced novel perspectives that enhance personalized education in numerous ways. By taking advantage of AI/ML methods, the educational platform precisely acquires the student?s characteristics. This is done, in part, by observing past experiences as well as...
Detalles Cerrar β
Tipo: artículo
Metodología: revisión bibliográfica
Temas: inteligencia artificial metacognición andamiaje/scaffolding
Temas IA: IA y aprendizaje revisión de bibliografía
Resumen:
This study comprehensively analyses how AI tools scaffold and share metacognitive processes, thereby facilitating students’ learning in STEM classrooms through a mixed-method research synthesis combining bibliometric analysis and systematic review. Using a convergent parallel mixed-methods design, the study draws on 135 peer-reviewed articles published between 2005 and 2025 to map publication trends, author and journal productivity, keyword patterns, and theoretical frameworks. Data were retrieved from Scopus and Web of Science using structured Boolean searches and analysed using Biblioshiny and VOSviewer. Guided by PRISMA 2020 protocols, 24 studies were selected for in-depth qualitative review. Findings show that...
Detalles Cerrar β
Tipo: libro
Metodología: trabajo teórico
Temas: inteligencia artificial tecnología educativa innovación educativa
Temas IA: IA y educación IA y aprendizaje IA y evaluación
Resumen:
This volume addresses the gap in knowledge around generative AI and its applications in education. It draws on the recent history of technological innovation and digital pedagogies, locating generative AI in the contemporary discourse around education futures. It argues that a new hybrid model of education is emerging, requiring educational institutions to embed generative AI into course and programme design, delivery and assessment. It also proposes a shift from a focus on learning as output to learning as a process, and explores what that shift might look like. Grounded in educational theory, it offers actionable pedagogy-informed guidance on how to position AI as a collaborator in the construction of learning in a manner that is congruent with the values and aims of education. The book also explores the wider context informing this...
Detalles Cerrar β
Tipo: artículo
Metodología: revisión bibliográfica
Temas: inteligencia artificial pensamiento crítico educación superior
Temas IA: IA y aprendizaje revisión de bibliografía
Resumen:
Despite widespread acknowledgement of the significance of critical thinking skills for success in today's job market, higher education institutions face challenges in effectively nurturing these skills in students. Educational policies, reports, and employer demands emphasise the importance of critical thinking, yet a gap remains between its recognised value and the actual proficiency levels among university students. This study employs a systematic literature review approach to address a research question, "What is the impact of Generative AI on the critical thinking skills of undergraduates?" About half of the thirty selected papers suggest that Generative AI benefits undergraduate critical...
Etiquetas
- análisis de producción de IA (54)
- catálogo de herramientas (15)
- chatbots (68)
- chatGPT (155)
- conceptos básicos (38)
- estudio empírico (487)
- ética de la IA (119)
- guía (26)
- IA y aprendizaje (159)
- IA y creación de materiales (63)
- IA y educación (360)
- IA y ELE (31)
- IA y enseñanza-aprendizaje de lenguas (208)
- IA y evaluación (140)
- IA y variedades del español (1)
- modelos de lenguaje (LLM) (87)
- prompts (65)
- revisión de bibliografía (136)