Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Current K–12 artificial intelligence (AI) literacy education emphasizes tool usage over fundamental concepts, yet AI literacy requires grasping how and why AI works – critical for an AI-driven society. This highlights the need for machine learning (ML) education for young learners. We designed and evaluated a six-to 8-h ML course for 752 senior primary students (average age 11.36) across seven Hong Kong primary schools. Pre- and post-test results showed significant improvement in ML understanding, with a Wilcoxon effect size of 0.55. Students comprehended supervised learning and reinforcement learning, including algorithms such as k-nearest neighbours and artificial neural networks, via...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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Artificial intelligence (AI) tools are increasingly being used in the field of early childhood education (ECE) to enhance learning and development among young children. Previous proof-of-concept studies have demonstrated that AI can effectively improve teaching and learning in ECE; however, there is a scarcity of knowledge about how these studies are conducted and how AI is used across these studies. We conducted this scoping review to evaluate, synthesize and display the latest literature on AI in ECE. This review analyzed 17 eligible studies conducted in different countries from 1995 to 2021. Although few studies on this critical issue have been found, the existing references provide up-...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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As Artificial Intelligence (AI) becomes increasingly pervasive in everyday life, AI literacy is widely recognized as a set of essential competencies for navigating AI-driven environments safely, responsibly, and effectively. There is a growing need to assess this construct, for example, to inform targeted educational interventions. Although several measurement tools already exist, many show limitations regarding subjective data collection methods, differentiation between target groups, validity, and the integration of recent developments, such as Generative AI literacy. To address these limitations, this study introduces the AI Competency Objective Scale (AICOS) - an instrument grounded in...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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There is growing recognition among researchers and stakeholders about the significant impact of artificial intelligence (AI) technology on classroom instruction. As a crucial element in developing AI literacy, AI education in K-12 schools is increasingly gaining attention. However, most existing research on K-12 AI education relies on experiential methodologies and suffers from a lack of quantitative analysis based on extensive classroom data, hindering a comprehensive depiction of AI education's current state at these educational levels. To address this gap, this article employs the advanced semantic understanding capabilities of large language models (LLMs) to create an intelligent...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Although the importance of K–12 artificial intelligence (AI) education grows, the lack of teacher readiness hinders the integration of AI in schools. To address this issue, this study aimed to explore South Korean elementary school teachers' experiences teaching AI curricula and examine their competencies. A survey and interviews were conducted with 67 elementary school teachers who have been working in AI-leading schools in South Korea. The results indicated that teachers were least confident in content knowledge, followed by technological knowledge and pedagogical knowledge relevant to AI. Additionally, interviews with 13 teachers revealed five themes regarding AI education: (1)...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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In the current context of China's higher education, work stress is a frequent challenge for young university teachers, often co-occurring with job burnout. This is a significant issue that is associated with both their teaching effectiveness and their career development. The purpose of this study is to explore the mediating roles of AI literacy and psychological resilience in the relationship between work stress and job burnout among young university teachers, as well as how AI literacy moderates the associations among work stress, psychological resilience, and job burnout of these young teachers. A nationwide survey was conducted, involving 411 university teachers. The main findings are as...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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As artificial intelligence (AI) becomes more prominent in children's lives, an increasing number of researchers and practitioners have underscored the importance of integrating AI as learning content in K-12. Despite the recent efforts in developing AI curricula and guiding frameworks in AI education, the educational opportunities often do not provide equally engaging and inclusive learning experiences for all learners. To promote equality and equity in society and increase competitiveness in the AI workforce, it is essential to broaden participation in AI education. However, a framework that guides teachers and learning designers in designing inclusive learning opportunities tailored for...

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Metodología: estudio empírico

Temas: inteligencia artificial

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Artificial Intelligence (AI) is reshaping language education, making AI literacy crucial for teachers to engage critically and effectively with this technology. Nonetheless, most existing assessments target students or general users, leaving a gap in measuring AI literacy within language teacher education. This study sought to develop and validate the Teachers’ AI Literacy Scale (TAILS), grounded in the ED-AI literacy framework, which comprises six dimensions: knowledge, evaluation, collaboration, contextualization, autonomy, and ethics. The scale was tested with preservice English language teachers through two phases: exploratory factor analysis (EFA) with 165 participants and confirmatory...

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Metodología: estudio empírico

Temas: inteligencia artificial

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Artificial Intelligence (AI) and Computer Vision (CV) have rapidly permeated various industries, increasing demand for professionals well-versed in these disciplines. In response to this need, this study evaluates the effectiveness of a novel undergraduate course that aims to equip students with foundational AI and CV knowledge and skills. Unlike existing software-centric courses, this class capitalizes on drones as a practical application area for AI and CV, fostering an active learning environment. The course was conducted over five semesters at a U.S. research institution, with 153 participating students. Data were collected using diverse methods, including formative and summative...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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Artificial Intelligence (AI) is significantly changing school education. The increasing prevalence of AI calls for a framework of AI-related literacy specifically tailored to the educational context. A growing body of research has attempted to conceptualise AI literacy (AIL) from different disciplinary perspectives and with different foci. This systematic review aims to provide a comprehensive overview of definitions and psychological dimensions of AIL in school education by addressing the following questions: how is AIL defined and conceptualised, what are the dimensions of AIL, and what psychological dimensions are included. A total of 2642 records were identified from various databases,...

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