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  • IA y aprendizaje

IA: Bibliografía: IA y aprendizaje

Nº de publicaciones: 165
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Artificial intelligence-based personalised learning in education: A systematic literature review
Helia Farhood, Magnus Nydén, Amin Beheshti (2025)
Discover Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial aprendizaje autónomo analítica del aprendizaje

Temas IA: IA y aprendizaje revisión de bibliografía

Resumen:

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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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How adding metacognitive requirements in support of AI feedback in practice exams transforms student learning behaviors
Mak Ahmad, Prerna Ravi, David R. Karger (2025)
Detalles Cerrar βœ•

Tipo: capítulo

Metodología: estudio empírico

Temas: inteligencia artificial feedback/retroalimentación metacognición

Temas IA: IA y evaluación IA y aprendizaje estudio empírico

Resumen:

Texto completo

Providing personalized, detailed feedback at scale in large undergraduate STEM courses remains a persistent challenge. We present an empirically evaluated practice exam system that integrates AI generated feedback with targeted textbook references, deployed in a large introductory biology course. Our system specifically aims to encourage metacognitive behavior by asking students to explain their answers and declare their confidence. It uses OpenAI's GPT-4o to generate personalized feedback based on this information, while directing them to relevant textbook sections. Through detailed interaction logs from consenting participants across three midterms (541, 342, and 413 students respectively), totaling 28,313 question-student...

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Developing evaluative judgement for a time of generative artificial intelligence
Margaret Bearman, Joanna Tai, Phillip Dawson (2024)
Assessment & Evaluation in Higher Education
Detalles Cerrar βœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial evaluación pensamiento crítico

Temas IA: IA y evaluación IA y aprendizaje

Resumen:

Texto completo

Generative artificial intelligence (AI) has rapidly increased capacity for producing textual, visual and auditory outputs, yet there are ongoing concerns regarding the quality of those outputs. There is an urgent need to develop students’ evaluative judgement – the capability to judge the quality of work of self and others – in recognition of this new reality. In this conceptual paper, we describe the intersection between evaluative judgement and generative AI with a view to articulating how assessment practices can help students learn to work productively with generative AI. We propose three foci: (1) developing evaluative judgement of generative AI outputs; (2) developing evaluative...

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Personalized education in the artificial intelligence era: What to expect next
Setareh Maghsudi, Andrew Lan, Jie Xu (2021)
IEEE Signal Processing Magazine
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial aprendizaje autónomo analítica del aprendizaje

Temas IA: IA y aprendizaje revisión de bibliografía

Resumen:

Texto completo

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...

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Mapping the scaffolding of metacognition and learning by AI tools in STEM classrooms: A bibliometric–systematic review approach (2005–2025)
Maria Tsakeni, Stephen Chinedu Nwafor, Moeketsi Simon Mosia (2025)
Journal of Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial metacognición andamiaje/scaffolding

Temas IA: IA y aprendizaje revisión de bibliografía

Resumen:

Texto completo

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...

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Generative AI and education: Digital pedagogies, teaching innovation and learning design
B. Mairéad Pratschke (2024)
Detalles Cerrar βœ•

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...

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New Modes of Learning Enabled by AI Chatbots: Three Methods and Assignments
Ethan Mollick, Lilach Mollick (2022)
SSRN
Detalles Cerrar βœ•

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...

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Assigning AI: Seven Approaches for Students, with Prompts
Ethan Mollick, Lilach Mollick (2023)
arXiv
Detalles Cerrar βœ•

Tipo: artículo

Metodología: propuesta didáctica

Temas: inteligencia artificial grandes modelos de lenguaje tecnología educativa

Temas IA: IA y educación IA y aprendizaje prompts

Resumen:

Texto completo

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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The role of changes in pronunciation ability and anxiety through Gen-AI on EFL learners’ self-directed speaking motivation and social interaction confidence - A CHAT perspective
Whyunyoung Choi (2025)
System
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial pronunciación expresión oral

Temas IA: IA y aprendizaje estudio empírico IA y enseñanza-aprendizaje de lenguas

Resumen:

Texto completo

This study examines the impact of Gen-AI on EFL learners' foreign language (FL) pronunciation ability, FL speaking anxiety, self-directed speaking motivation, and social interaction confidence through Cultural-Historical Activity Theory (CHAT). Using a mixed-methods approach, the study conducted quantitative assessments of pronunciation ability and speaking anxiety, while qualitatively exploring learners' experiences with Gen-AI feedback through in-depth interviews. Findings suggest that learners experienced improvements in pronunciation ability and reductions in FL speaking anxiety, which coincided with increased self-directed motivation and social interaction confidence. When...

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From grammar to strategy: Two perspectives on language education and AI from FLEAT 8
Petra Juna Jennings, Christina Thunstedt (2025)
The FLTMAG
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial gramática enseñanza/aprendizaje de lenguas

Temas IA: chatGPT IA y enseñanza-aprendizaje de lenguas IA y aprendizaje

Resumen:

Texto completo

Dos ponentes europeas relatan conjuntamente sus intervenciones en FLEAT 8 (Universidad de Hawái en Mānoa, junio de 2025). Petra Juna Jennings presenta su investigación doctoral sobre la integración de ChatGPT en la enseñanza de la gramática inglesa a estudiantes de una universidad técnica, con un diseño de tres grupos —solo IA, IA con apoyo docente y grupo de control con instrucción tradicional— centrado en el dominio de los tiempos verbales: el grupo de IA más apoyo docente obtuvo las mayores ganancias, y los estudiantes que repreguntaban y pedían aclaraciones aprendieron más que quienes se limitaban a completar la tarea. Describe además actividades concretas: narración colaborativa...

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Etiquetas

  • análisis de producción de IA (54)
  • catálogo de herramientas (15)
  • chatbots (71)
  • chatGPT (156)
  • conceptos básicos (39)
  • estudio empírico (491)
  • ética de la IA (126)
  • guía (29)
  • IA y aprendizaje (165)
  • IA y creación de materiales (66)
  • IA y educación (367)
  • IA y ELE (31)
  • IA y enseñanza-aprendizaje de lenguas (212)
  • IA y evaluación (143)
  • IA y variedades del español (1)
  • modelos de lenguaje (LLM) (87)
  • prompts (65)
  • revisión de bibliografía (136)
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