Tipo: artículo

Metodología: trabajo teórico

Temas: lingüística aplicada

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El objetivo del trabajo es realizar una serie de consideraciones críticas en torno al rol de la lingüística Aplicada en el contexto de la enseñanza del español como lengua extranjera en Brasil. En estas páginas se realiza una presentación del tema de la integración americana desde el punto de vista social y cultural. Se relaciona posteriormente este tema con las necesidades específicas del alumnado brasileño y con el rol del español en el contexto educativo de ese país.

The aim of this work is a series of critical remarks about the role of applied linguistics in the context of the teaching of Spanish as a foreign language in Brazil. These pages make a presentation on the topic of...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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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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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The use of computational tools to predict academic success has become increasingly popular. Machine learning algorithms, trained on past study histories, have been shown to provide valid predictions. However, knowing about biases and unfairness in algorithms, one should take a closer look at these predictions. This paper explores the extent to which the predictive accuracy of academic success varies between specific groups of students, focusing on traditional and non-traditional students (NTS), who have not acquired a higher education entrance qualification at school. In a case study the study compares several popular algorithms and their prediction quality, and investigates whether...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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In situations like the coronavirus pandemic, colleges and universities are forced to limit their offline and regular academic activities. Extended postponement of high-stakes exams due to health risk hereby reduces productivity and progress in later years. Several countries decided to organize the exams online. Since many other countries with large education boards had an inadequate infrastructure and insufficient resources during the emergency, education policy experts considered a solution to simultaneously protect public health and fully resume high-stakes exams -by canceling offline exam and introducing a uniform assessment process to be followed across the states and education boards....

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Predictive analytics in education holds promise for supporting student learning but poses risks of bias potentially disadvantaging certain groups based on demographic attributes such as gender. Prior work on fairness in educational prediction has largely focused on binary outcomes in higher education, leaving continuous predictions, such as standardized test scores, comparatively understudied, especially in early schooling where consequences can be long-lasting. Despite a few fairness metrics available for continuous outcomes, they often rely on mean differences, obscuring distributional disparities that may disadvantage specific students. Even fewer studies have attempted to address bias...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Short open-ended questions represent a central resource in formative and summative assessments both face-to-face and online settings, ranging from elementary to higher education. However, grading these questions remains challenging for instructors, raising attention to the field of Automatic Short Answer Grading (ASAG). While ASAG has yielded valuable contributions to learning analytics, it often faces generalizability issues. Accordingly, the rapid advancement in Large Language Models (LLMs) has motivated their adoption to empower ASAG systems. Despite that, previous research has not investigated whether LLMs are fair graders in the context of ASAG. Therefore, this paper presents an...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The recent emergence of generative artificial intelligence (GenAI) tools, such as ChatGPT, has brought profound changes to higher education. While many studies have examined the potential use of ChatGPT in teaching and learning, few have explored the opportunities to develop assessments that facilitate the use of multiple technological innovations (i.e. traditional AI and GenAI tools). We conducted qualitative research to address this gap. The assessments of an elective English course in Hong Kong were re-designed to incorporate GenAI and other tools. Students were asked to employ and reflect on their use of these tools for their writing assessments. We analyzed the written reflections of...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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This study presents the results of the implementation of Generative-AI Interactive Textbook, an intelligent textbook built on a large language model based on GPT-4, which is directly integrated into the subject of Electrical Engineering course and provides interactive, adaptive teaching functions. The textbook was deployed in the 2024/2025 academic year, and the data was compared with the summary results from 2021 to 2024. The sample consisted of 736 students. The results suggest that the effects associated with the introduction of GenAI-T vary depending on the type of assessment and the analytical context. In multi-year analyses, a statistically significant improvement in mid-term...

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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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As artificial intelligence (AI) becomes increasingly integrated into K–12 education, concerns about equity and access have grown. This scoping review explores how inclusive AI curricula are designed, implemented, and evaluated in educational settings. Guided by three research questions, we analyzed 17 empirical studies published between 2013 and 2024, focusing on (1) the contexts and characteristics of inclusive AI curricula, (2) instructional strategies that promote broader participation, and (3) learning outcomes associated with these approaches. The findings reveal five key instructional principles (identity, technology, design, content development, and sense of belonging) alongside...

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