Tipo: capítulo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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Providing personalized, detailed feedback at scale in large undergraduate STEM courses remains a persistent challenge. We present an empirically evaluated practice exam system that integrates AI generated feedback with targeted textbook references, deployed in a large introductory biology course. Our system specifically aims to encourage metacognitive behavior by asking students to explain their answers and declare their confidence. It uses OpenAI's GPT-4o to generate personalized feedback based on this information, while directing them to relevant textbook sections. Through detailed interaction logs from consenting participants across three midterms (541, 342, and 413 students respectively), totaling 28,313 question-student...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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Artificial intelligence (AI) is regarded as a pivotal instrument in the realm of inclusive education, offering a means to enhance accessibility and personalize learning experiences for students with disabilities. This study presents a comprehensive and systematic review of the impact of AI on inclusive education, elucidating both its advantages and the challenges associated with its implementation. In accordance with the PRISMA guidelines, studies published between 2021 and 2024 in databases including Scopus, Web of Science, ScienceDirect, and ERIC were subjected to analysis. A bibliometric analysis was conducted using Bibliometrix to identify key trends, and ATLAS.ti was employed to organize topics such as...

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Tipo: artículo de blog

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

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: 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: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The integration of generative artificial intelligence (AI) tools is a paradigm shift in enhanced learning methodologies and assessment techniques. This study explores the adoption of generative AI tools in higher education assessments by examining the perceptions of 353 students through a survey and 17 in-depth interviews. Anchored in the Unified Theory of Acceptance and Use of Technology (UTAUT), this study investigates the roles of perceived risk and tech-savviness in the use of AI tools. Perceived risk emerged as a significant deterrent, while trust and tech-savviness were pivotal in shaping student engagement with AI. Tech-savviness not only influenced adoption but also moderated the effect...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Generative artificial intelligence (GenAI) has created significant assessment challenges in higher education. Universities and teachers have responded to these in various ways, including by way of new policies, revised assessment formats, and technological safeguards. These responses are typically predicated on an assumption that AI in assessment is a problem that can be solved if only the right approach can be found. However, in this paper we argue that GenAI may not be that kind of problem at all. Drawing on interviews with 20 teachers responsible for assessment design within a large Australian University, this paper applies Rittel and Webber framework of wicked problems to analyse educators...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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This study comprehensively analyses how AI tools scaffold and share metacognitive processes, thereby facilitating students’ learning in STEM classrooms through a mixed-method research synthesis combining bibliometric analysis and systematic review. Using a convergent parallel mixed-methods design, the study draws on 135 peer-reviewed articles published between 2005 and 2025 to map publication trends, author and journal productivity, keyword patterns, and theoretical frameworks. Data were retrieved from Scopus and Web of Science using structured Boolean searches and analysed using Biblioshiny and VOSviewer. Guided by PRISMA 2020 protocols, 24 studies were selected for in-depth qualitative review. Findings show that...

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Tipo: capítulo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

AI studies creative staff development in international higher education. Innovative faculty and staff training strategies are needed as colleges expand globally. Traditional professional development seldom satisfies teacher and institution goals. This chapter discusses how AI can customise, scale, and succeed worldwide education staff development. AI is essential for staff development because it can analyse large databases, detect training needs, and tailor learning. Intelligent tutoring, adaptive learning systems, and data analytics can help schools enhance instructor development, professional learning paths, and regionally distributed teamwork. This study found that AI technologies may make training programs more engaging, that AI deployment ethics are crucial, and that successful case studies show how AI enhances instructor...

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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

Resumen:

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The rapid advancement of artificial intelligence (AI) technologies, particularly OpenAI’s ChatGPT, has significantly impacted higher education institutions (HEIs), offering opportunities and challenges. While these tools enhance personalized learning and content generation, they threaten academic integrity, especially in assessment environments. This study systematically examines the impact of ChatGPT on academic integrity in HEIs, focusing on exam design, assessment strategies, AI detection tools, and policy frameworks. This research draws from current literature and expert recommendations to identify practical...

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