Bibliografía: alfabetización en IA
Nº de publicaciones: 139Detalles Cerrar β
Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
The integration of artificial intelligence (AI) in application-based contexts has created the need for skilled workers with AI knowledge and competencies. In order to meet this demand, it is necessary to integrate AI into vocational education and training (VET) in Germany, for example in the form of an additional AI qualification. Such an additional qualification in the field of AI in the VET system is innovative and comparatively new. Therefore, this article explores the views of both teachers and apprentices regarding the requirements for an additional AI qualification, - perspectives which have not been sufficiently researched, yet. Results from a mixed-methods needs analysis based on...
Detalles Cerrar β
Tipo: artículo
Metodología: revisión bibliográfica
Temas: inteligencia artificial
Resumen:
The integrative literature review addresses the conceptualization and implementation of AI Literacy (AIL) in Higher Education (HE) by examining recent research literature. Through an analysis of publications (2021–2024), we explore (1) how AIL is defined and conceptualized in current research, particularly in HE, and how it can be delineated from related concepts such as Data Literacy, Media Literacy, and Computational Literacy; (2) how various definitions can be synthesized into a comprehensive working definition, and (3) how scientific insights can be effectively translated into educational practice. Our analysis identifies seven central dimensions of AIL: technical, applicational,...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
Artificial intelligence (AI) literacy is widely recognized as a new set of competencies that people use AI effectively and ethically in everyday life. In K-12 education, educators have started to employ different pedagogical strategies to foster students' AI literacy. Using digital story writing (DSW) in the classroom is an effective inquiry-based pedagogical approach to address literacy development by improving language and technological abilities across disciplines. This study recruited 82 primary students in Hong Kong to attend a three-month DSW journey to learn AI and completed a knowledge test at the end of the program. Among the students, 16 best-achieving students were further...
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Tipo: artículo
Metodología: revisión bibliográfica
Temas: inteligencia artificial
Resumen:
Given the rapid integration of generative artificial intelligence (GenAI) technologies, such as large language models, into educational contexts, fostering students’ GenAI literacy has become essential. However, previous AI literacy frameworks may inadequately reflect specific competencies necessary for proficient GenAI use. To address this gap, this study aimed to conceptualise a GenAI specific literacy framework tailored explicitly for educational settings and systematically examine recent research trends concerning GenAI literacy. Employing a systematic literature review approach, 51 empirical studies published in 2023 and 2024 were selected and analysed based on five identified...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
Comprehensive concepts of AI literacy (AIL) and valid measures are essential for research (e.g., intervention studies) and practice (e.g., personnel selection/development) alike. To date, several scales have been published, sharing standard features but differing in some aspects. We first aim to briefly overview instruments identified from unsystematic literature research in February 2023. We identified four scales and one collection of items. We describe the instruments and compare them. We identified common themes and overlaps in the instruments and developmental procedure. We also found differences regarding scale development procedures and latent dimensions. Following this literature...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
In this factor-informed exploratory CFA/SEM study, AI-literacy-related domains were treated as theoretically informed and empirically tested predictors of AI-TPACK readiness rather than as fully validated independent latent variables. Artificial intelligence (AI) is increasingly entering mathematics education, making it important to understand how preservice teachers become ready to integrate AI-supported tools pedagogically. This study examined AI-TPACK readiness among 130 preservice mathematics teachers at a South African public university. Exploratory factor analysis using polychoric correlations indicated that the AI-TPACK readiness items were essentially unidimensional; one weak design...
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Tipo: artículo
Metodología: revisión bibliográfica
Temas: inteligencia artificial
Resumen:
This systematic review investigates learning task design for K-12 AI education, aiming to provide an overview of the status of AI education and identify trends, challenges, and opportunities. Through an analysis of 47 empirical studies, the review presents, synthesizes, and evaluates the educational theories underpinning the learning task design, the content, the pedagogies used for teaching, as well as the measurement and outcomes of the existing literature on AI education programs in K-12 settings. The principal findings reveal a diverse landscape of learning task design for teaching AI to K-12 students. Positive outcomes underscore the effectiveness of well-crafted hands-on tasks in...
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Tipo: artículo
Metodología: revisión bibliográfica
Temas: inteligencia artificial
Resumen:
AI generated text-to-image tools are rapidly entering educational settings, yet little is known about how their visual biases intersect with goals of equity, inclusion, and critical AI literacy. This systematic literature review maps and analyzes empirical studies that examine bias and representation in educational uses of AI generated text-to-image. Following PRISMA guidelines, we identified 31 peer reviewed studies published between 2023 and 2025 across K-12, higher education, and professional learning contexts. We used a six part analytic framework (gender; race, ethnicity, and socioeconomic status; culture and religion; age; body and (dis)ability; and content) to code how studies...
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Tipo: artículo
Metodología: revisión bibliográfica
Temas: inteligencia artificial
Resumen:
There is an emerging interest in Artificial Intelligence (AI) teaching and learning in the K-12 setting. While some work has explored the educational content and resources used for this purpose, there is limited empirical evidence on the effectiveness of such AI education interventions. The primary objective of the systematic literature review presented in this paper was to examine research with empirical evidence reporting learning outcomes for teaching and learning AI in K-12 between 2019 and 2022. Through a rigorous selection process, a total of 28 studies were included in the final analysis out of 8,175 papers identified from five research databases using specific search terms....
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Tipo: artículo
Metodología: revisión bibliográfica
Temas: inteligencia artificial
Resumen:
Artificial Intelligence (AI) is rapidly reshaping educational practices, yet educators' adoption of AI varies. This paper utilized a grounded meta-analysis framework of 45 peer-reviewed articles published between 2020 and 2024, including qualitative, quantitative, mixed-method, and social media (X) studies, to examine factors influencing educators' AI adoption. Four primary categories emerged from coding the papers: Individual Factors (demographics, AI literacy, beliefs, and self-efficacy), Infrastructure (institutional support, resource availability, social influence, and media narratives), Tools (perceived usefulness, ease of use, compatibility, transparency, bias, and reliability), and...
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