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: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The aim of this study is to uncover how students’ practices of writing in higher education are being impacted by ChatGPT. The use of ChatGPT and other generative AI needs to be set in the context of a longer-term process of the digitisation of writing, where many tools are being employed by students to support writing because it is a complex iterative process. Generative AI appears to have had a large impact on how students write, and we propose a model of generative AI literacy to assess their capabilities in doing so. Semi-structured interviews and observation data were collected at a British University with 23 students from diverse backgrounds, including the UK, USA, China, Japan, and Saudi Arabia....

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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This study explores university educators’ perspectives on their alignment with artificial intelligence (AI) ethics, considering activity theory (AT), which forms the theoretical underpinning of this study. To do so, 37 educators from a higher education institution were selected to write their metaphors about AI ethics alignment, out of which 11 attended semi-structured interviews, in which they answered some questions about their AI ethics alignment and narrated some experiences. The study reveals diverse and often contradictory perspectives on AI ethics, highlighting a general lack of awareness and inconsistent application of ethical principles. Some educators...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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Generative artificial intelligence (AI) has rapidly increased capacity for producing textual, visual and auditory outputs, yet there are ongoing concerns regarding the quality of those outputs. There is an urgent need to develop students’ evaluative judgement – the capability to judge the quality of work of self and others – in recognition of this new reality. In this conceptual paper, we describe the intersection between evaluative judgement and generative AI with a view to articulating how assessment practices can help students learn to work productively with generative AI. We propose three foci: (1) developing evaluative judgement of generative AI outputs; (2) developing evaluative...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The rapid adoption of generative artificial intelligence (GenAI) technologies in higher education has raised concerns about academic integrity, assessment practices and student learning. Banning or blocking GenAI tools has proven ineffective, and punitive approaches ignore the potential benefits of these technologies. As a result, assessment reform has become a pressing topic in the GenAI era. This paper presents the findings of a pilot study conducted at British University Vietnam exploring the implementation of the Artificial Intelligence Assessment Scale (AIAS), a flexible framework for incorporating GenAI into educational assessments. The AIAS consists of five levels, ranging from “no AI” to “...

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Tipo: libro

Metodología: experiencia práctica

Temas: inteligencia artificial

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Segunda colección abierta de la comunidad #creativeHE sobre inteligencia artificial en la educación. Reúne 119 contribuciones breves de docentes, investigadores y estudiantes de 22 países —entre ellos España, México, Argentina y Uruguay—, recogidas entre septiembre de 2023 y enero de 2024, que cuentan cómo están usando la IA en su práctica, qué les ha funcionado y qué dudas les plantea.

Las aportaciones se agrupan en torno a prácticas creativas y críticas, perspectivas y propósitos, y funcionan como un repertorio de ideas para el aula y como testimonio de una comunidad que aprende sobre la alfabetización en IA mientras la...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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Generative AI (GenAI) challenges assessment validity by enabling students to complete tasks without demonstrating genuine capability. In response to this challenge, institutions have developed and implemented various approaches that aim to communicate permissible AI use to students. Familiar examples include the ‘traffic light’ approach now commonly found within institutional policy. While well-intentioned, these approaches share a common limitation: They focus primarily on communicating rules rather than redesigning assessment mechanics. To clarify why such approaches fail, and to guide more effective responses, this paper introduces a novel conceptual distinction between discursive changes...

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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: 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: aprendizaje autónomo

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In this article the concept of learner autonomy is applied to the foreign language classroom although some ideas might also be useful within a second language context. It begins by approaching the different problems that a foreign language context entails. It then goes on to put forward the rationale which justifies David Little's construct of developmental and experiential learning (Learner Autonomy) as the result of both interactional and inferential input. The latter is redefined here on the basis of a pragmatic theory: Relevance Theory, first proposed by Dan Sperber and Deirdre Wilson in 1986. Finally, some hints aiming to foster learner autonomy inside...

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