IA: Bibliografía: ética de la IA
Nº de publicaciones: 119Detalles Cerrar β
Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial integridad académica ChatGPT
Temas IA: chatGPT ética de la IA estudio empírico
Resumen:
The public release of ChatGPT and other generative AI chatbot technologies has been accompanied by questions about how academic integrity and student cheating behaviors will be impacted. We analyzed anonymous survey data from three high schools to see if self-reported cheating numbers changed following the introduction of ChatGPT and similar technologies. This survey data set is unique in that data on cheating had been collected with this set of schools both before and after November 2022, when ChatGPT was publicly released and drew attention to these educational concerns. The results suggested that cheating behaviors remained relatively stable after the introduction of this current...
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Tipo: artículo
Metodología: trabajo teórico
Temas: inteligencia artificial integridad académica evaluación
Temas IA: IA y evaluación ética de la IA
Resumen:
We consider how a future of pervasive human/AI coauthorship challenges current notions of validity and academic integrity. Specifically, we address widespread concerns that in non-proctored contexts, students are using generative artificial intelligence (GenAI) to submit texts they do not understand. Adopting an assessment validity lens, we show how GenAI undermines the integrity of multiple forms of validity evidence, leading us to propose Coauthorship Integrity as a new conceptual source of validity evidence for addressing these threats. Coauthorship Integrity is violated when students submit AI-generated content that they do not understand. To hold students accountable in this regard, a...
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Tipo: artículo
Metodología: trabajo teórico
Temas: inteligencia artificial ética analítica del aprendizaje
Temas IA: ética de la IA IA y educación
Resumen:
Despite significant advancements in AI-driven educational systems and ongoing calls for responsible AI for education, several critical issues remain unresolved—acting as elephant in the room within AI in education, learning analytics, educational data mining, learning sciences, and educational psychology communities. This critical analysis identifies and examines nine persistent challenges across the conceptual, methodological, and ethical dimensions that continue to undermine the fairness, transparency, and effectiveness of current AI methods and applications in education. These include: 1) the lack of clarity around what AI for education truly means—often ignoring the distinct purposes,...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial alfabetización en IA competencia digital
Temas IA: IA y educación ética de la IA estudio empírico
Resumen:
Generative Artificial Intelligence (AI) approaches open up new avenues of digital creation, and are simultaneously accompanied by societal and ethical implications such as the creation of Deepfakes and spread of misinformation, renewing our understanding of technical AI systems as socio-technical systems. Applications of, and media generated by generative AI techniques are abundantly present on social media platforms frequented by children, who are not yet aware of the existence of AI-manipulated media. Previous work has highlighted the importance of digital media literacy and AI literacy for children. In this work, we introduce middle school students to generative AI techniques as a tool...
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Tipo: artículo
Metodología: revisión bibliográfica
Temas: inteligencia artificial ética alfabetización en IA
Temas IA: ética de la IA IA y educación revisión de bibliografía
Resumen:
AI ethics education remains significantly underprioritized in classroom practice, despite the global push for AI literacy in K-12 curricula. This systematic review analyzes 68 peer-reviewed publications (from January 2014 to March 2025) to map the research landscape of K-12 AI ethics education. The results reveal global trends in the current research landscape, pedagogical designs addressing major responsible AI (RAI) principles, and various learning assessment methods, and students’ ethical learning outcomes manifested across cognitive, affective, and behavioral domains. By further synthesizing findings, we identify disparities of eastern and western contexts, gaps in addressing RAI...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial analítica del aprendizaje ética
Temas IA: ética de la IA estudio empírico
Resumen:
The integration of Artificial Intelligence (AI) into higher education, particularly through Academic Performance Prediction (APP), promises enhanced educational outcomes. However, it simultaneously raises concerns regarding data privacy, potential biases, and broader socio-technical implications. Our study, focusing on Germany–a pivotal player in shaping the European Union's AI policies–seeks to understand prevailing perceptions of APP among students and the general public. Initial findings of a large standardized online survey suggest a divergence in perceptions: While students, in comparison to the general population, do not attribute a higher risk to APP in a general risk assessment,...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial ChatGPT creencias y actitudes de los estudiantes
Temas IA: chatGPT ética de la IA estudio empírico
Resumen:
Artificial Intelligence has greatly revolutionized education in many aspects. Today, AI-enabled language models, such as ChatGPT, are gaining popularity due to their characteristics and benefits. However, users also consider them a threat to educational integrity and purposes. This research examined ChatGPT usage among students in the United Arab Emirates (UAE), their views, concerns, and perceived ethics. The data was gathered from 388 students from two universities in Al Ain city using Yamane's formula. Findings showed that students consider ChatGPT a revolutionary technology that helps students in many ways. The gathered data showed that the effect of ChatGPT Usage remained significant...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial ética inclusión y equidad
Temas IA: ética de la IA estudio empírico
Resumen:
Predictive analytics in education holds promise for supporting student learning but poses risks of bias potentially disadvantaging certain groups based on demographic attributes such as gender. Prior work on fairness in educational prediction has largely focused on binary outcomes in higher education, leaving continuous predictions, such as standardized test scores, comparatively understudied, especially in early schooling where consequences can be long-lasting. Despite a few fairness metrics available for continuous outcomes, they often rely on mean differences, obscuring distributional disparities that may disadvantage specific students. Even fewer studies have attempted to address bias...
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Tipo: artículo
Metodología: revisión bibliográfica
Temas: inteligencia artificial práctica docente ética
Temas IA: IA y educación ética de la IA revisión de bibliografía
Resumen:
Artificial intelligence (AI) is increasingly shaping education, including classroom management. This systematic review analyzes 104 studies (2000–2022) on the use of AI in classroom management, focusing on educational purposes, technical implementations, and ethical considerations. Our findings show a growing use of AI technologies—particularly machine learning and deep learning—for tasks such as attendance tracking, behavior monitoring, and engagement assessment. These tools can streamline classroom management and offer detailed insights into student behavior. However, only a minority of studies leveraged AI's full potential, such as real-time feedback or multimodal data. Ethical issues,...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial evaluación educación primaria y secundaria
Temas IA: IA y evaluación IA y educación ética de la IA
Resumen:
The COVID-19 pandemic has created significant challenges for UK schools, but a time of cancelled exams and uncertainty around future examinations can provide opportunities to explore novel assessment methods. Hence, the 2020 proposal of the Ofqual algorithm which combines teachers' estimated grades and schools' historical performance seemed timely. However, the algorithmically calculated grades resulted in a public backlash and withdrawal of the proposal. While the failed Ofqual algorithm could be considered an example of AI, we do not yet have a thorough understanding of its numerical accuracy and how it performs in comparison to other AI models. This paper investigates this novel...
Etiquetas
- análisis de producción de IA (54)
- catálogo de herramientas (15)
- chatbots (68)
- chatGPT (156)
- conceptos básicos (38)
- estudio empírico (490)
- ética de la IA (119)
- guía (26)
- IA y aprendizaje (162)
- IA y creación de materiales (63)
- IA y educación (360)
- IA y ELE (31)
- IA y enseñanza-aprendizaje de lenguas (208)
- IA y evaluación (141)
- IA y variedades del español (1)
- modelos de lenguaje (LLM) (87)
- prompts (65)
- revisión de bibliografía (136)