Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The application of learning sciences with technology has been shown to boost learner interactions, yet the potential of advanced tool, particularly those that leverage Natural Language Processing (NLP), still very much untapped in learning contexts. This paper speaks to this age-old problem of generating quality Multiple-Choice questions (MCQs) – a prevalent but time-consuming mode of assessment – via the suggested comprehensive comparison study of template-based AI solutions. The study contrasts general-purpose Large Language Models (LLMs) with specialized MCQ-focused AI programs. The scientific approach employed was quite stringent, where each of the software applications was benchmarked...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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This study analyzes 2398 research articles published between 2020 and 2024 across eight core venues related to the field of Artificial Intelligence in Education (AIED). Using a three-level knowledge co-occurrence network analysis, this study analyzes the knowledge structure of the field, the evolving knowledge clusters, and the emerging frontiers. The findings reveal that AIED research is centered on developing AI-assisted systems and using AI to support educational analysis, with sustained themes such as intelligent tutoring systems, learning analytics, and natural language processing, alongside rising interest in large language models (LLMs) and generative artificial intelligence (GenAI...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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This paper explores the potential of large language models, specifically ChatGPT, to reframe problems from probability theory and statistics, making them accessible to students across diverse academic fields including biology, economics, law, and engineering. The aim of this study is to enhance interdisciplinary learning by rendering complex concepts more accessible, relevant, and engaging. We conducted a pilot study using ChatGPT to adapt problems across 17 disciplines, evaluated through expert review. Our results demonstrate the significant potential of ChatGPT in reshaping problems for diverse settings, preserving theoretical meaning in 77.1% of cases, and requiring no or only minor...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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The rapid integration of Generative AI (GenAI) into K-12 education has outpaced our understanding of its potential risks and unintended consequences. Existing reviews have prioritized higher education and technical promise, overlooking the potential developmental risks it poses to children and adolescents in K-12 settings. This scoping review synthesizes 22 empirical studies from K-12 contexts to map the types of risks and concerns reported in research, compile mitigation strategies, and identify priority gaps that could guide more developmentally informed future studies. Across the included studies, reported risks clustered into three domains: (a) risks to psychological wellbeing, with...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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This study investigates the integration of Generative AI (GenAI) tools into educational practices, specifically focusing on the design of Inquiry-Based Learning (IBL) lesson plans. Based on a particular IBL framework that synthesizes the core attributes of IBL by combining the strengths of various models, the study explores educators' potential utilization of GenAI tools across the framework's phases. Among other capabilities, GenAI tools were examined for their support in content creation, assessment and feedback processes, as well as in the design of learning activities and lesson plans. This examination informed the classification of GenAI tools in this study, organizing them according...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Integrating mathematical modelling into school curricula is essential for connecting school mathematics with real-world applications. However, teachers often lack the time and resources to design high-quality modelling tasks. While generative artificial intelligence (GenAI) can rapidly produce educational content, existing tools typically generate conventional word problems or routine mathematics exercises rather than resources that foster modelling competencies. This study reports on the design and evaluation of an AI-powered platform that generates mathematical modelling problems and associated pedagogical recommendations grounded in established design principles and retrieval-augmented...

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Metodología: estudio empírico

Temas: inteligencia artificial

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ChatGPT's impact on education is both significant and inevitable, presenting a paradox of threats and benefits. While studies have explored ChatGPT's usage, intention, and motivation, few have addressed its paradoxical use from a benefit-risk-coping perspective, leaving gaps in practical and theoretical solutions. This study integrates the Unified Theory of Acceptance and Use of Technology (UTAUT) and Protection Motivation Theory (PMT) to elucidate ChatGPT's paradoxical use in education. Using Structural Equation Modeling (SEM) and fuzzy sets Qualitative Comparative Analysis (fsQCA), it aims to provide insights and solutions for managing the benefits, risks, and coping mechanisms associated...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: comprensión lectora

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This paper deals with developmental dyslexia and the influence reading disabilities exert over the process of foreign language learning, placing a special emphasis on development of reading skills in Spanish as a foreign language. While trying to explain the aetiology of developmental dyslexia, one usually starts with cognitive reading processes and various reading disorder manifestations which depend on the characteristics of a foreign language. Reading disabilities are also observed in the context of a predominant communication-oriented language teaching paradigm. Further, and starting with the approaches to reading disorders applied nowadays, the elaborated exercises are oriented towards...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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The demand for skilled programmers and the increasing complexity of coding skills have led to a rise in the adoption of artificial intelligence (AI) and machine learning (ML) technologies in computer programming education. Previous research has explored the potential of AI in aspects such as grading assignments, generating feedback, detecting plagiarism, and identifying at-risk students, but there is a lack of systematic reviews focused on AI-powered teaching processes in computer programming classes. To provide a more comprehensive understanding of AI and ML's role in computer programming education, this systematic review examines a wider range of applications across the entire pedagogical...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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Artificial intelligence (AI) education has posed fundamental challenges to early childhood education (ECE), including (1) why AI is necessary and appropriate for learning in the early years, (2) what is the subset of key AI ideas and concepts that can be learned by children, and (3) how to engage children in a meaningful experience that allows them to acquire these fundamental AI concepts. This report from the ECE field discusses the key considerations for developing an AI curriculum for young children. These key considerations altogether present an innovative pedagogical model for AI literacy education in early childhood. This model argues that AI literacy is an organic part of digital...

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