Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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This study examines how a large-scale distance learning institution in the UK designed, implemented, and evaluated an artificial intelligence digital assistant (AIDA) using Sharples' (2025) embedded systems approach. Through six iterative Design-Based Research studies over 18 months, involving 498 students and 20 staff, we explored three questions: (1) how perceptions of AIDA change with experience; (2) its impact on engagement and learning; and (3) how GenAI can be responsibly deployed at a system level. Early Studies 1–3 gathered student preferences for AIDA's design and identified benefits of 24/7, context-specific support alongside concerns over ethics, academic integrity, and data...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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In an era where artificial intelligence (AI) is reshaping educational paradigms, this study explores AI-based chatbot adoption in higher education among students and educators. Employing a Structural Equation Modeling (SEM) approach, the research focuses on developing and validating a comprehensive model to understand the multifaceted factors impacting the acceptance and use of these chatbots. The methodology integrates an extensive literature review, construction of a theoretical model, administration of a detailed questionnaire to a representative sample from the higher education sector, coupled with advanced SEM techniques for data analysis and interpretation. The SEM analysis validates...

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Metodología: estudio empírico

Temas: inteligencia artificial

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: As generative artificial intelligence (GenAI) rapidly transforms higher education, critical questions arise about how students engage with these open-ended tools and the implications for learning. This study provides empirical insight into this research gap investigating (1) the prompting strategies students develop when interacting with a university-provided GenAI tool and (2) how engagement in prompt engineering activities shapes their understanding of GenAI and AI literacy. Data were collected in an exploratory workshop with 28 postgraduate students engaged in collaborative multimodal prompting tasks, including the creation of short stories or poems and corresponding images. Students’...

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Metodología: estudio empírico

Temas: inteligencia artificial

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High-quality instruction is essential to facilitating student learning, prompting many professional development (PD) programmes for teachers to focus on improving classroom dialogue. However, during PD programmes, analysing discourse data is time-consuming, delaying feedback on teachers' performance and potentially impairing the programmes' effectiveness. We therefore explored the use of ChatGPT (a fine-tuned GPT-3.5 series model) and GPT-4o to automate the coding of classroom discourse data. We equipped these AI tools with a codebook designed for mathematics discourse and academically productive talk. Our dataset consisted of over 400 authentic talk turns in Chinese from synchronous online...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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Nowadays, Artificial Intelligence (AI) literacy has become an emerging topic in digital literacy education research. However, it is still under-explored in early childhood education (ECE) since the AI curriculum for young children has just been designed in recent years. A scoping review was conducted to examine the thematic and content analysis of 16 empirical papers from 2016 to 2022. This scoping reviews evaluate, synthesize, and display 16 studies on AI literacy in early childhood education, including curriculum design, AI tools, pedagogical approaches, research designs, assessment methods, and findings. The discussion of the AI literacy implementation in ECE contributes to...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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Recent developments in artificial intelligence (AI) have revolutionized the field of education as its presence and benefits enable new methods for teaching and learning. Therefore, many empirical studies have been conducted to evaluate the effectiveness of using AI on students' academic achievement. The purpose of this meta-analysis study was to examine the overall effect of AI on students' academic achievement in relation to a set of moderator variables including educational level, role of AI, intervention duration, sample size, learning strategy, subject area, and type of AI. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a total of...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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This paper explores the integration of AI agents within the Project Approach in early childhood education (ECE) to enhance children's creative learning in the digital age. Addressing the current lack of guidance in this area, the paper conceptualizes how AI agents can be specifically tailored to foster creativity in young learners. Drawing upon theoretical foundations and empirical evidence, it proposes a “Creative Project Approach” that integrates generative AI and robotics in ECE. A pedagogical framework is developed, consisting of five key steps: (1) identifying learning needs, (2) facilitating child-robot interaction with teacher guidance, (3) situating AI and robot use in various...

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Metodología: trabajo teórico

Temas: inteligencia artificial

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Engaging students in creating novel content, also referred to as learnersourcing, is increasingly recognised as an effective approach to promoting higher-order learning, deeply engaging students with course material and developing large repositories of content suitable for personalised learning. Despite these benefits, some common concerns and criticisms are associated with learnersourcing (e.g., the quality of resources created by students, challenges in incentivising engagement and lack of availability of reliable learnersourcing systems), which have limited its adoption. This paper presents a framework that considers the existing learnersourcing literature, the latest insights from the...

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Metodología: estudio empírico

Temas: inteligencia artificial

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University courses with hundreds of students have become common, particularly during early years of university studies. The sheer scale of these courses limits traditional instruction, shifting it towards a one-to-many mode of delivery. This shift reduces student–instructor interaction and tailored instructor feedback which are crucial for student success. Automated feedback systems allow scaling feedback, but they often reduce instructor contributions to student learning. This paper investigates how emerging technologies can support, rather than replace, instructors in tailoring their teaching and feedback to identify and correct student knowledge gaps at scale. To address this challenge,...

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Metodología: estudio empírico

Temas: inteligencia artificial

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Collaborative writing, paired with AI feedback, represents an innovative and effective pedagogical approach with the potential to revolutionize language learning practices. This study explores the influence of a three-step collaborative writing intervention, where AI feedback specially enhances the revision and editing stages of the L2 writing process for Thai-major undergraduate exchange students. Employing a quasi-experimental design, the study included 39 junior exchange students, with 18 in the experimental group and 21 in the control group. The approach employed a wiki-based collaborative writing strategy, integrating ChatGPT for written corrective feedback. The 10-week intervention...

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