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IA: Bibliografía: IA y educación

Nº de publicaciones: 360
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A case study of using AI for General Certificate of Secondary Education (GCSE) grade prediction in a selective independent school in England
Gyorgy Denes (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial evaluación educación primaria y secundaria

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

Resumen:

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The COVID-19 pandemic has created significant challenges for UK schools, but a time of cancelled exams and uncertainty around future examinations can provide opportunities to explore novel assessment methods. Hence, the 2020 proposal of the Ofqual algorithm which combines teachers' estimated grades and schools' historical performance seemed timely. However, the algorithmically calculated grades resulted in a public backlash and withdrawal of the proposal. While the failed Ofqual algorithm could be considered an example of AI, we do not yet have a thorough understanding of its numerical accuracy and how it performs in comparison to other AI models. This paper investigates this novel...

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An AI-enhanced pattern recognition approach to temporal and spatial analysis of children's embodied interactions
Ceren Ocak, Theodore J. Kopcha, Raunak Dey (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial pensamiento computacional multimodalidad

Temas IA: IA y educación estudio empírico

Resumen:

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Multimodal video analysis is a complex and time-consuming process for a researcher; it entails capturing, watching, and re-watching video data to identify which segments best inform or address the questions that drive the research. Modern AI applications can alleviate the challenges that arise during the fine-grained analysis of learners' multimodal interactions captured through video. In this study, we present a supervised approach to training a deep neural network to analyze children's computational thinking (CT) captured through multimodal video data. The approach first uses a set of images extracted from video data to train the AI to map them to labels generated using a priori theory....

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Co-designing AI with youth partners: Enabling ideal classroom relationships through a novel AI relational privacy ethical framework
Michael Alan Chang, Mike Tissenbaum, Thomas M. Philip (2025)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ética educación primaria y secundaria

Temas IA: ética de la IA IA y educación estudio empírico

Resumen:

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In recent years, the design of AI-based tools for educational spaces have been largely driven by researchers who impart their past expertises, experiences, and perspectives in the design process. While this typically leads to technically feasible designs and are often well-grounded in theories of learning, youth agency is typically limited in this process. In this paper, we argue that designers have a significant ethical responsibility to incorporate youth voices – in particular, their dreams and concerns – into the design of AI tools starting from conception. This need is particularly important as new applications for AI, such as AI-supported collaboration, introduce new surveillance...

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The formation of AI Capital in higher education: Enhancing students’ academic performance and employment rates
Nick Drydakis (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA educación superior

Temas IA: IA y educación estudio empírico

Resumen:

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The study evaluates the effectiveness of a 12-week AI module delivered to non-STEM university students in England, aimed at building students' AI Capital, encompassing AI-related knowledge, skills, and capabilities. An integral part of the process involved the development and validation of the AI Capital of Students scale, used to measure AI Capital before and after the educational intervention. The module was delivered on four occasions to final-year students between 2023 and 2024, with follow-up data collected on students' employment status. The findings indicate that AI learning enhances students' AI Capital across all three dimensions. Moreover, AI Capital is positively associated with...

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Effects of an AI-supported inquiry model on AI literacy and authentic performance: A quasi-experimental study with preservice teachers
Dongyun Cao, Yuting Yan, Anyuan Xiong (2026)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial formación de profesores alfabetización en IA

Temas IA: IA y educación IA y aprendizaje estudio empírico

Resumen:

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As generative AI becomes more common in teacher education, programs need instructional models that help preservice teachers use AI purposefully, critically, and productively in authentic academic work. However, evidence on how structured AI-supported inquiry improves both AI literacy and performance remains limited. Grounded in Deweyan Inquiry and the Practical Inquiry model, this quasi-experimental study examined the effects of QUEST + AI, an AI-supported inquiry model built around five phases: Question, Understand, Engage, Solve, and Teach. Ninety-five preservice teachers in an educational research methods course participated in a 10-week study using two intact classes (experimental n =...

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A systematic review of ontology use in E-Learning recommender system
Nur W. Rahayu, Ridi Ferdiana, Sri S. Kusumawardani (2022)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial tecnología educativa enseñanza en línea e híbrida

Temas IA: IA y educación revisión de bibliografía

Resumen:

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Ontology and knowledge-based systems typically provide e-learning recommender systems. However, ontology use in such systems is not well studied in systematic detail. Therefore, this research examines the development and evaluation of ontology-based recommender systems. The study also discusses technical ontology use and the recommendation process. We identified multidisciplinary ontology-based recommender systems in 28 journal articles. These systems combined ontology with artificial intelligence, computing technology, education, education psychology, and social sciences. Student models and learning objects remain the primary ontology use, followed by feedback, assessments, and context...

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The role of learners’ competencies in artificial intelligence education
Ismaila Temitayo Sanusi, Sunday Adewale Olaleye, Friday Joseph Agbo (2022)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA educación primaria y secundaria

Temas IA: IA y educación estudio empírico

Resumen:

Texto completo

As society deals with the advances and disruptions owing to artificial intelligence, children must understand how it works. Especially that children grow up with these technologies will help them develop into informed citizens and better understand the world around them. While artificial intelligence education has been considered relevant, there is a growing global trend to teach artificial intelligence across K-12 levels. This development has necessitated designing and implementing artificial intelligence curriculum and related resources in schools. Notwithstanding that the developed curriculum may be adopted in another context, unique needs exist that suggest contextual and cultural...

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Strengthening students’ research efficacy in higher institutions. A joint mediating effect of the impact of Artificial intelligence using Partial Least Squares Structural Equation Modelling (PLS-SEM)
Usani Joseph Ofem, Ene I. Ene, Eunice Ngozi Ajuluchukwu (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial educación superior metodología de investigación

Temas IA: IA y educación estudio empírico

Resumen:

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Research efficacy is a vital contributor to enhancing research productivity within higher education institutions. Despite its importance, there has been limited focus on understanding this construct and its enablers. This study addresses this gap by exploring research efficacy through the lens of artificial intelligence (AI) utilization among students. The findings reveal that AI utilization has a significant positive impact on various dimensions of research efficacy, including background, review, methodological, analytical, and reporting efficacy. Additionally, review efficacy is shown to significantly influence background, methodological, and reporting efficacy, while it does not impact...

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AI-driven simulation-based research: A new frontier in research innovation
Chak-Him Fung, Siu-Ping Ng (2025)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial metodología de investigación

Temas IA: IA y educación

Resumen:

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Artificial intelligence (AI) demonstrates growing potential to enhance and support various disciplines in research activities, including literature review and academic writing. Nevertheless, there is currently insufficient evidence about its efficacy in facilitating simulation-based research. This position paper discusses the implication of AI in research methodology and demonstrates how to use AI to conduct simulation-based research. The demonstration indicates that AI-driven simulation-based research is feasible and possesses numerous advantages. Moreover, the differences between AI-driven simulation-based research and traditional research methods are discussed. This position paper...

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AI literacy in secondary education: framework, assessment, and professional development in the Ukrainian context
Maiia V. Marienko, Oksana M. Markova, Serhiy O. Semerikov (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA profesorado

Temas IA: IA y educación estudio empírico

Resumen:

Texto completo

The rapid proliferation of artificial intelligence tools in educational settings has created an urgent demand for AI literacy among secondary educators, yet empirical research examining this phenomenon in non-Western and crisis-affected contexts remains limited. This multi-study investigation employs a sequential explanatory mixed-methods design to examine AI literacy among Ukrainian secondary educators through national survey analysis ( n = 2018), targeted educator surveys ( n = 116), professional development evaluation ( n = 1130), and systematic mapping of European Open Science Cloud (EOSC) services. Findings reveal that while 84% of surveyed educators report AI use in professional...

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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)
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