IA: Bibliografía: IA y educación
Nº de publicaciones: 364Detalles Cerrar β
Tipo: artículo de blog
Metodología: trabajo teórico
Temas: inteligencia artificial alfabetización en IA sostenibilidad
Temas IA: ética de la IA IA y educación
Resumen:
Sue Beckingham y Peter Hartley sostienen que las universidades deben formar a estudiantes y personal en una alfabetización crítica en IA que reconozca los costes de la IA generativa más allá de los económicos, los «nuevos elefantes en la habitación». Los agrupan en cuatro categorías: los efectos sobre las personas (pereza metacognitiva, deuda cognitiva), las consecuencias ambientales (energía, agua, residuos), los daños al conocimiento (erosión de la pericia, sesgos, desinformación) y los efectos sobre el empleo.
Contraponen estos costes al discurso de la industria, que presenta cada nueva versión como un paso hacia la inteligencia artificial general, y concluyen que las instituciones deben abrir espacios de diálogo sobre un uso responsable de la IA en lugar de promover su...
Detalles Cerrar β
Tipo: capítulo
Metodología: trabajo teórico
Temas: inteligencia artificial integridad académica inclusión y equidad
Temas IA: IA y educación IA y aprendizaje
Resumen:
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...
Detalles Cerrar β
Tipo: artículo
Metodología: revisión bibliográfica
Temas: inteligencia artificial inclusión y equidad estudiantes con discapacidad
Temas IA: revisión de bibliografía IA y educación
Resumen:
Artificial intelligence (AI) is regarded as a pivotal instrument in the realm of inclusive education, offering a means to enhance accessibility and personalize learning experiences for students with disabilities. This study presents a comprehensive and systematic review of the impact of AI on inclusive education, elucidating both its advantages and the challenges associated with its implementation. In accordance with the PRISMA guidelines, studies published between 2021 and 2024 in databases including Scopus, Web of Science, ScienceDirect, and ERIC were subjected to analysis. A bibliometric analysis was conducted using Bibliometrix to identify key trends, and ATLAS.ti was employed to organize topics such as...
Detalles Cerrar β
Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial ética inclusión y equidad
Temas IA: ética de la IA IA y educación estudio empírico
Resumen:
While Artificial Intelligence in Education (AIED) research has at its core the desire to support student learning, experience from other AI domains suggest that such ethical intentions are not by themselves sufficient. There is also the need to consider explicitly issues such as fairness, accountability, transparency, bias, autonomy, agency, and inclusion. At a more general level, there is also a need to differentiate between doing ethical things and doing things ethically, to understand and to make pedagogical choices that are ethical, and to account for the ever-present possibility of unintended consequences. However, addressing these and related questions is far from trivial. As a first...
Detalles Cerrar β
Tipo: guía
Temas: inteligencia artificial ética inclusión y equidad
Temas IA: guía ética de la IA IA y educación
Resumen:
Publicly available generative AI (GenAI) tools are rapidly emerging, and the release of iterative versions is outpacing the adaptation of national regulatory frameworks. The absence of national regulations on GenAI in most countries leaves the data privacy of users unprotected and educational institutions largely unprepared to validate the tools. UNESCO's first global guidance on GenAI in education aims to support countries to implement immediate actions, plan long-term policies and develop human capacity to ensure a human-centred vision of these new technologies. The guidance presents an assessment of...
Detalles Cerrar β
Tipo: informe
Temas: inteligencia artificial tecnología educativa educación primaria y secundaria
Temas IA: IA y educación ética de la IA
Resumen:
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...
Detalles Cerrar β
Tipo: artículo
Metodología: propuesta didáctica
Temas: inteligencia artificial grandes modelos de lenguaje ChatGPT
Temas IA: IA y educación IA y creación de materiales prompts
Resumen:
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...
Detalles Cerrar β
Tipo: artículo
Metodología: propuesta didáctica
Temas: inteligencia artificial chatbots tecnología educativa
Temas IA: IA y educación IA y aprendizaje prompts
Resumen:
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...
Detalles Cerrar β
Tipo: artículo
Metodología: propuesta didáctica
Temas: inteligencia artificial grandes modelos de lenguaje tecnología educativa
Temas IA: IA y educación IA y aprendizaje prompts
Resumen:
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...
Detalles Cerrar β
Tipo: capítulo
Metodología: trabajo teórico
Temas: inteligencia artificial metodología de investigación ética
Temas IA: catálogo de herramientas ética de la IA IA y educación
Resumen:
Capítulo que explora las posibilidades de integrar herramientas de IA en la fase de revisión de literatura de la investigación educativa y discute las cuestiones éticas implicadas. Tras repasar la discusión terminológica —revisión de literatura, estado del arte, revisión sistemática, revisión integrativa—, describe nueve herramientas basadas en IA útiles para el mapeo bibliográfico, la identificación de artículos y la generación de resúmenes, y recuerda que muchas no son gratuitas.
La autora sostiene que la IA es una estrategia metodológica complementaria que no sustituye la acción humana en el tratamiento e interpretación de los datos, y que su...
Etiquetas
- análisis de producción de IA (54)
- catálogo de herramientas (15)
- chatbots (68)
- chatGPT (156)
- conceptos básicos (39)
- estudio empírico (490)
- ética de la IA (125)
- guía (29)
- IA y aprendizaje (163)
- IA y creación de materiales (66)
- IA y educación (364)
- IA y ELE (31)
- IA y enseñanza-aprendizaje de lenguas (211)
- IA y evaluación (143)
- IA y variedades del español (1)
- modelos de lenguaje (LLM) (87)
- prompts (65)
- revisión de bibliografía (136)