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: 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 advent of generative artificial intelligence (GenAI) has further intensified concerns about academic integrity, raising fundamental questions about ethical behavior in assessment practices. Given that most of the conversation is currently focused on what students’ ethical behavior should be, we extend the conversation in this chapter to propose a theoretical framework for ethical assessment from the educator’s side. By adopting a student-centered perspective and considering the evolving role of GenAI in education, we redefine ethical assessment in a way that prioritizes meaningful learning and consequently promotes academic integrity. This framework aims to guide educators in developing assessments that align with...

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Tipo: guía

Temas: inteligencia artificial

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Marco para la implantación de la inteligencia artificial en la educación superior australiana, elaborado con el grupo de trabajo nacional que redactó el marco para las escuelas. Abarca tanto la IA generativa como los sistemas de decisión automatizada y adopta un enfoque de equidad: que la IA amplíe, y no reduzca, las oportunidades de los estudiantes de grupos desfavorecidos.

Tras justificar por qué la universidad necesita un marco propio, enuncia unos principios básicos y ofrece orientaciones para aplicarlos, alineadas con los...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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This study explores the neural and behavioral consequences of LLM-assisted essay writing. Participants were divided into three groups: LLM, Search Engine, and Brain-only (no tools). Each completed three sessions under the same condition. In a fourth session, LLM users were reassigned to Brain-only group (LLM-to-Brain), and Brain-only users were reassigned to LLM condition (Brain-to-LLM). A total of 54 participants took part in Sessions 1-3, with 18 completing session 4. We used electroencephalography (EEG) to assess cognitive load during essay writing, and analyzed essays using NLP, as well as scoring essays with the help from human teachers and an AI judge. Across groups, NERs, n-gram patterns, and topic ontology showed...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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This systematic literature review rigorously evaluates the impact of Generative AI (GenAI) on academic integrity within higher education settings. The primary objective is to synthesize how GenAI technologies influence student behavior and academic honesty, assessing the benefits and risks associated with their integration. We defined clear inclusion and exclusion criteria, focusing on studies explicitly discussing GenAI’s role in higher education from January 2021 to December 2024. Databases included ABI/INFORM, ACM Digital Library, IEEE Xplore, and JSTOR, with the last search conducted in May 2024. A total of 41 studies met our precise inclusion criteria. Our synthesis methods involved qualitative analysis to...

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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: 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 de blog

Metodología: trabajo teórico

Temas: inteligencia artificial

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Sue Beckingham y Peter Hartley sostienen que las universidades deben formar a estudiantes y personal en una alfabetización crítica en IA que reconozca los costes de la IA generativa más allá de los económicos, los «nuevos elefantes en la habitación». Los agrupan en cuatro categorías: los efectos sobre las personas (pereza metacognitiva, deuda cognitiva), las consecuencias ambientales (energía, agua, residuos), los daños al conocimiento (erosión de la pericia, sesgos, desinformación) y los efectos sobre el empleo.

Contraponen estos costes al discurso de la industria, que presenta cada nueva versión como un paso hacia la inteligencia artificial general, y concluyen que las instituciones deben abrir espacios de diálogo sobre un uso responsable de la IA en lugar de promover su...

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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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