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: trabajo teórico

Temas: inteligencia artificial

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In this paper, we argue that a particular set of issues mars traditional assessment practices. They may be difficult for educators to design and implement; only provide discrete snapshots of performance rather than nuanced views of learning; be unadapted to the particular knowledge, skills, and backgrounds of participants; be tailored to the culture of schooling rather than the cultures schooling is designed to prepare students to enter; and assess skills that humans routinely use computers to perform. We review extant artificial intelligence approaches that–at least partially–address these issues and critically discuss whether these approaches present additional challenges for assessment...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Effective feedback is a central component of successful student learning, with extensive research examining how best to implement it in educational settings. Increasingly, feedback is being generated by artificial intelligence (AI), offering scalable and adaptive responses. Two widely studied approaches are directive feedback, which gives explicit explanations and reduces cognitive load to speed up learning, and metacognitive feedback which prompts learners to reflect, track their progress, and develop self-regulated learning (SRL) skills. While both approaches have clear theoretical advantages, their comparative effects on engagement, confidence, and quality of work remain underexplored....

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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Generative AI, currently most visible in education through large language models (LLMs), is increasingly embedded in students’ everyday learning practices, supporting tasks such as writing, coding, reasoning, and analysis. Yet its educational value remains uncertain because systems designed to improve immediate task performance may also weaken the cognitive and metacognitive processes that support durable learning. This paper addresses this learning–performance paradox by asking how AI systems can be designed to support learning rather than merely produce better outputs. To address this, in this paper, we make three contributions. First, we synthesise current LLM-based study support with...

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