Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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The increasing use of generative artificial intelligence (AI) in student assessment has led to institutional reliance on detection tools. Unlike plagiarism detection, AI detection relies on unverifiable probabilistic estimates. In this paper, we argue that generative AI detection should not be used in education due to its methodological imperfections, violation of procedural fairness, and unverifiable outputs. Generative AI detectors cannot be tested in real-world conditions where the true origin of a text is unknown. Attempts to validate results through linguistic markers, multiple tools, or comparisons with past work introduce confirmation bias rather than independent verification. Moreover...

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Tipo: artículo

Metodología: propuesta didáctica

Temas: inteligencia artificial

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What does it mean to write, learn to write, and teach writing in an age when students can use the latest artificial intelligence (AI) co‐authoring tools to produce entire essays without even adding an original idea or composing a single sentence? This article addresses questions of authorship and academic integrity concerning the use of AI writing assistants and the latest GPT‐3 (Generative Pre‐trained Transformer, Version 3) tools. It begins by problematizing the use of these tools, and then illustrates how students can use these tools to paraphrase, summarize, extend, and even create original texts with minimal original input, raising questions about authorship and academic integrity. The...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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GPT detectors frequently misclassify non-native English writing as AI generated, raising concerns about fairness and robustness. Addressing the biases in these detectors is crucial to prevent the marginalization of non-native English speakers in evaluative and educational settings and to create a more equitable digital landscape.

El estudio comparó siete detectores de texto generado por IA con redacciones de estudiantes nativos y no nativos de inglés. Los detectores clasificaron como generadas por máquina más de la mitad de las redacciones del TOEFL escritas por estudiantes no nativos, mientras que acertaron casi siempre con las de estudiantes nativos. La causa es la menor «...

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Tipo: guía

Temas: inteligencia artificial

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Marco de política de la Higher Education Authority irlandesa para el uso de la IA generativa en la docencia universitaria. Se dirige al profesorado, a los responsables académicos y al personal de apoyo —no a los estudiantes— y se centra deliberadamente en la enseñanza y el aprendizaje: diseño de los aprendizajes, pedagogía, participación del alumnado, evaluación e integridad académica.

No impone reglas uniformes ni un único modelo de adopción: ofrece una orientación basada en valores para que cada institución elabore sus propias políticas, con cuatro objetivos —dar a las universidades un conjunto de valores adaptable, promover...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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The use of artificial intelligence in academia is a hot topic in the education field. ChatGPT is an AI tool that offers a range of benefits, including increased student engagement, collaboration, and accessibility. However, is also raises concerns regarding academic honesty and plagiarism. This paper examines the opportunities and challenges of using ChatGPT in higher education, and discusses the potential risks and rewards of these tools. The paper also considers the difficulties of detecting and preventing academic dishonesty, and suggests strategies that universities can adopt to ensure ethical and responsible use of these tools. These strategies include developing policies and procedures,...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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This study investigates student responses to allegations of cheating using ChatGPT, a popular software platform capable of generating coherent text on various topics. Data comprising 49 Reddit posts and discussions between December 2022 and June 2023 were collected. Students shared their experiences, often asserting false accusations, and discussed strategies to navigate these situations. Thematic analysis identified five key themes: adopting a legalistic stance with argumentation and evidence; higher education's role as a societal gatekeeper; vicissitudes of trust in students vs. technology; questions of what constitutes cheating; and the need to rethink assessment. These findings will aid educators and institutions in crafting more meaningful assessments in the age of AI and establishing guidelines for student usage of ChatGPT and...

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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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