Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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How much have students’ ordinary learning processes shifted in response to generative AI, and how does that affect their durable learning outcomes? Self-report surveys show little change, while small-scale behavioral studies report widespread AI use without the scale or duration to measure learning consequences. We address both questions using a ten-year panel of 3.2 million ALEKS learning interactions for the time-on-task analysis, complemented by ALEKS PPL placement-assessment data for the proctoring and retention analyses, with a quasi-experimental design exploiting within-curriculum variation in AI susceptibility: text-based word problems transcribable into AI prompts serve as the treated group; graph-based problems...

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Tipo: libro

Metodología: trabajo teórico

Temas: inteligencia artificial

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What is to be done? It is a question every university has asked about ‘artificial intelligence’ since the launch of ChatGPT in November 2022. Language models are now a routine part of how staff and students work, yet there is no agreement about what constitutes appropriate and inappropriate use. They have become ubiquitous without being normalised.

In this short book, Mark Carrigan argues that the result is a multidimensional crisis of trust, in which staff and students increasingly suspect one another of using models in problematic ways. Universities face a dilemma: they must adapt to AI to protect the value of their degrees,...

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Tipo: informe

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

Documento de posición de Humanist, estudio de emprendimiento en IA, con el apoyo de la Walton Family Foundation. Parte de una constatación: el debate sobre la IA en la evaluación se ha centrado en detectar trampas y corregir más deprisa, y ha dejado de lado lo importante, que es rediseñar la evaluación para medir el aprendizaje auténtico y las capacidades que la escuela debe desarrollar: juicio, iniciativa, creatividad, colaboración, inteligencia contextual y dominio de la IA. Se apoya en entrevistas con decenas de expertos y docentes de universidades, organismos de evaluación y empresas de tecnología educativa (Khan Academy, Gates Foundation, Google, Duolingo, Western Governors University…).

Las doce provocaciones:

...

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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: 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 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

Resumen:

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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