Tipo: capítulo

Metodología: estudio empírico

Temas: inteligencia artificial

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Recent findings suggest that detection models for artificial intelligence (AI) cannot accurately identify AI-generated text and may exhibit bias against certain minority groups. In the present study, anecdotal claims that autistic writers more often have their work flagged as AI-generated are examined empirically. A corpus of approximately 60,000 Reddit posts split into"likely-autistic"and"general-Reddit"subcorpora is used to compare the distribution of probabilities output by the OpenAI GPT-2 detection model. Differences in textual features between subcorpora are observed and compared to reported features of AI-generated text. Results showed that while less than two-percent of either subcorpus was flagged as AI-generated by...

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Tipo: libro

Metodología: propuesta didáctica

Temas: inteligencia artificial

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In these days of an ever-expanding internet, generative AI, and term paper mills, students may find it too easy and tempting to cheat, and teachers may think they can't keep up. What's needed, and what Tricia Bertram Gallant and David A. Rettinger offer in this timely book, is a new approach—one that works with the realities of the twenty-first century, not just to protect academic integrity but also to maximize opportunities for students to learn. The Opposite of Cheating presents a positive, forward-looking, research-backed vision for what classroom integrity can look like in the GenAI era, both in cyberspace and on campus. Accordingly, the book outlines workable measures teachers can use to better understand why students cheat and to prevent cheating while aiming to enhance learning and integrity. Bertram Gallant and Rettinger...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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Higher education institutions, educators, and students continue to grapple with the wide-ranging implications of Artificial Intelligence (AI) and Generative Artificial Intelligence (GenAI). The ability of advanced GenAI models to complete educational assessments continues to be one of the most pressing issues for academia. In early 2024, we published the AI Assessment Scale (AIAS), which describes a practical framework for addressing GenAI use in educational assessment. The AIAS was well received and has been implemented in hundreds of institutions worldwide and translated into 30 languages. Building on our experience using the AIAS and drawing on feedback and critiques received...

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Tipo: capítulo

Metodología: trabajo teórico

Temas: inteligencia artificial

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The rapid rise in use of generative AI (GenAI) systems has sparked debate in educational settings, resulting in reactionary bans to mitigate concerns about academic dishonesty and learning outcomes. Such bans fail to address the underlying challenges AI presents while overlooking its potential benefits. This paper examines the limitations of outright bans and proposes that the successful integration of AI in education requires alignment of tasks, systems and metrics. By analyzing existing studies and real world examples, we demonstrate how thoughtfully designed AI systems can enhance learning and reduce inequalities. The paper concludes with actionable recommendations for educators and...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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The emergence of OpenAI's ChatGPT has put intense spotlight on Generative AI (Gen-AI) systems and their possible impacts on Academic integrity. This paper provides an overview of the current arguments around ChatGPT and Academic integrity and concludes that although these technologies are capable of revolutionising academia, the way ChatGPT and other generative AI systems are used could surely undermine academic integrity. However, to ensure that the risks to academic integrity are mitigated for greater maximisation, institutional and multi-stakeholder efforts are required.

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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The rapid advancement of artificial intelligence (AI) technologies, particularly OpenAI’s ChatGPT, has significantly impacted higher education institutions (HEIs), offering opportunities and challenges. While these tools enhance personalized learning and content generation, they threaten academic integrity, especially in assessment environments. This study systematically examines the impact of ChatGPT on academic integrity in HEIs, focusing on exam design, assessment strategies, AI detection tools, and policy frameworks. This research draws from current literature and expert recommendations to identify practical...

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Tipo: guía

Temas: inteligencia artificial

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Documento de la Higher Education Authority irlandesa que desarrolla los principios éticos en los que se apoya su marco de política sobre la IA generativa en la docencia universitaria. Continúa las diez recomendaciones iniciales de la HEA y plantea que la decisión de integrar la IA no puede reducirse a la eficiencia o la competitividad: debe partir del propósito educativo y de los valores de la universidad como bien público.

Formula cinco principios, cada uno con sus disposiciones concretas:

• Integridad académica, transparencia y rendición de cuentas.
• Equidad e inclusión.
• Compromiso...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content that has been modified using techniques designed to evade detection by these tools (n=805). The results demonstrate that the detectors' already low accuracy rates (39.5%) show major reductions in accuracy (17.4%) when faced with manipulated content, with some techniques proving more effective than others in evading detection. The accuracy limitations and the potential for false accusations demonstrate that these tools cannot currently be recommended for determining whether violations of academic integrity have occurred, underscoring the challenges educators face in maintaining inclusive and...

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Tipo: guía

Temas: inteligencia artificial

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Declaración con la que las universidades británicas del Russell Group fijaron en 2023 su posición común sobre la IA generativa en la enseñanza. Parte de que estas herramientas pueden mejorar la docencia y la experiencia de aprendizaje, siempre dentro de un marco ético, y enuncia cinco principios:

• Las universidades ayudarán a estudiantes y personal a adquirir una alfabetización en IA.
• El profesorado debe estar preparado para ayudar al alumnado a usar la IA generativa de forma eficaz y adecuada.
• Las universidades adaptarán la docencia y la evaluación para incorporar un uso ético de la IA generativa y garantizar la igualdad de acceso.
• Las universidades velarán por el rigor y la integridad académica.
• Las...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

This paper explores the relationship between mind and machine at the intersection of Generative Artificial Intelligence (GenAI) and research writing in Higher Education. Through provocative stylistic resistance, the focus here shifts from what GenAI can or cannot produce to the paradoxical human behaviours in response, for instance, the mechanical predictability of narrative arcs prevalent in contemporary GenAI-related scholarship, whether human-produced or not. Whilst recognising the seductive allure of convenience for academics in toxic publish-or-perish cultures, this work accentuates concerning practices of self-censorship particularly among multicultural researchers to avoid GenAI usage accusations. Overzealous AI detection witch hunts are scrutinised as convenient gatekeeping proxies masking deeper concerns of intellectual...

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