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IA: Bibliografía: ética de la IA

Nº de publicaciones: 119
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Fairness, Accountability, Transparency, and Ethics (FATE) in Artificial Intelligence (AI) and higher education: A systematic review
Bahar Memarian, Tenzin Doleck (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial ética educación superior

Temas IA: ética de la IA IA y educación revisión de bibliografía

Resumen:

Texto completo

Background: The use of Artificial Intelligence or AI is rising in higher education. With this rise, the morality of AI programs is being questioned. There is, as such, a need to understand how notions of Fairness, Accountability, Transparency, and Ethics or FATE are identified in the AI and higher education studies to date. Purpose: This systematic review paper aims to understand definitions and studies on FATE and AI in the higher education literature. The contribution of this work is to provide a summary of FATE development and the synthesis of the challenges and potentials of each of the reviewed studies. Method: A total of 33 publications from SCOPUS and Web of Science (WoS) were...

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Is GPT-4 fair? An empirical analysis in automatic short answer grading
Luiz Rodrigues, Cleon Xavier, Newarney Costa (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial evaluación grandes modelos de lenguaje

Temas IA: IA y evaluación modelos de lenguaje (LLM) ética de la IA

Resumen:

Texto completo

Short open-ended questions represent a central resource in formative and summative assessments both face-to-face and online settings, ranging from elementary to higher education. However, grading these questions remains challenging for instructors, raising attention to the field of Automatic Short Answer Grading (ASAG). While ASAG has yielded valuable contributions to learning analytics, it often faces generalizability issues. Accordingly, the rapid advancement in Large Language Models (LLMs) has motivated their adoption to empower ASAG systems. Despite that, previous research has not investigated whether LLMs are fair graders in the context of ASAG. Therefore, this paper presents an...

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Generative AI in higher education: Seeing ChatGPT through universities' policies, resources, and guidelines
Hui Wang, Anh Dang, Zihao Wu (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial educación superior integridad académica

Temas IA: IA y educación chatGPT ética de la IA

Resumen:

Texto completo

The advancements in Generative Artificial Intelligence (GenAI) can provide opportunities for enriching educational experiences, but at the same time raise concerns regarding academic integrity. Many educators have expressed anxiety and hesitation when it comes to integrating GenAI in their teaching practices. Thus, recommendations and guidance from institutions are needed to support instructors in this new and emerging GenAI era. In response to this need, this study explores different U.S. universities' academic policies and guidelines regarding the use of GenAI tools (e.g., ChatGPT) for teaching and learning, and from there, gains understanding of how these universities respond and adapt...

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Presenting your AI in education research with rigor: The TEP-AIED model
Gwo-Jen Hwang, Haoran Xie, Benjamin W. Wah (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial metodología de investigación ética

Temas IA: IA y educación ética de la IA

Resumen:

Texto completo

The rapid expansion of Artificial Intelligence in Education (AIED), particularly with the emergence of generative AI, has intensified the need for rigorous, transparent, and pedagogically grounded research reporting. Although existing frameworks offer valuable guidance on ethical responsibility or technical disclosure, they may be complex, fragmented, or difficult to operationalize in empirical and experimental contexts. This paper proposes the TEP (Transparency-Ethics-Pedagogy)-AIED model, a streamlined three-dimensional framework integrating transparency, ethics, and pedagogy to guide the design and reporting of AIED studies. The model highlights clear disclosure of AI system...

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AI literacy for ethical use of chatbot: Will students accept AI ethics?
Yusuke Kajiwara, Kouhei Kawabata (2024)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA ética

Temas IA: IA y educación ética de la IA chatbots

Resumen:

Texto completo

In AI literacy education, there are few examples of education based on AI ethical principles, and limited knowledge exists regarding curriculum design that incorporates AI ethical principles and its effects. Therefore, in this study, we propose a curriculum that teaches the ethical use of large language models (LLM) such as ChatGPT and verify its impact on educational effectiveness and technology acceptance among students aged 12 to 24. The validation results show that the proposed curriculum particularly contributes to the understanding of LLM concepts and their ethical use in decision support. We also demonstrate that experience using ChatGPT influences the level of understanding of...

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Human-centered artificial intelligence in education: Seeing the invisible through the visible
Stephen J.H. Yang, Hiroaki Ogata, Tatsunori Matsui (2021)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial ética tecnología educativa

Temas IA: IA y educación ética de la IA

Resumen:

Texto completo

The inevitable rise and development of artificial intelligence (AI) was not a sudden occurrence. The greater the effect that AI has on humans, the more pressing the need is for us to understand it. This paper addresses research on the use of AI to evaluate new design methods and tools that can be leveraged to advance AI research, education, policy, and practice to improve the human condition. AI has the potential to educate, train, and improve the performance of humans, making them better at their tasks and activities. The use of AI can enhance human welfare in numerous respects, such as through improving the productivity of food, health, water, education, and energy services. However, the...

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Why don't teachers teach AI ethics? Understanding teachers' beliefs and intentions in Chinese AI curriculum implementation through the theory of planned behaviour
Ming Ma, Davy Tsz Kit Ng, Zhichun Liu (2025)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ética creencias y actitudes de los profesores

Temas IA: ética de la IA IA y educación estudio empírico

Resumen:

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While artificial intelligence (AI) education is expanding globally, the implementation of AI ethics education in K-12 AI curricula remains a critical challenge, particularly in top-down curriculum reform contexts like China. This study investigates the factors influencing secondary information technology (IT) teachers' intention to teach AI ethics, grounding in Theory of Planned Behaviour (TPB). Through semi-structured interviews with 14 in-service teachers in China's Greater Bay Area (GBA), we identified key behavioural beliefs (e.g., fostering critical thinking, navigating rapid technological change, and adapting western-centric ethics), normative beliefs (e.g., new curriculum policy,...

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Fairness perceptions of AI in grading systems: Examining how discontent with the status quo and outcome favorability reduce AI reluctance
S. Mo Jones-Jang, Myojung Chung, Jihyang Choi (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial evaluación creencias y actitudes de los estudiantes

Temas IA: IA y evaluación ética de la IA estudio empírico

Resumen:

Texto completo

This study investigates students' aversion to AI grading systems compared to human professors, focusing on how dissatisfaction with the current evaluation system and grade outcomes affect fairness perceptions. Drawing from 228 college students in South Korea, the experiment tested three hypotheses: (1) students show AI reluctance, (2) dissatisfaction with the current system mitigates the AI reluctance, and (3) this mitigation is contingent on whether students receive high or low grades. Results confirm a general aversion to AI graders. Yet, students who are dissatisfied with the status quo system displayed increased preference for AI graders, especially when receiving low grades. In...

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Not for people like me: How frontier AI models redirect skeptical rural school staff
Zachary Rossmiller (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial grandes modelos de lenguaje ética

Temas IA: análisis de producción de IA ética de la IA modelos de lenguaje (LLM)

Resumen:

Texto completo

As AI enters schools, the staff it affects are increasingly urged to consult conversational AI about whether to adopt it—yet that AI is built by organizations with a commercial stake in adoption, raising the possibility that systems consulted by skeptical users are predisposed to encourage it. We test this with a fixed prompt in which a rural Montana K–12 school administrative aide voices two concerns: that AI may threaten her job, and that AI companies do not have people like her in mind. Ten frontier models from ten laboratories are each sampled 500 times at temperature 0.7. The 5000 responses are scored by a blind three-model AI panel (three model families, two openness regimes) on a...

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How to responsibly deploy a predictive modelling dashboard for study advisors? A use case illustrating various stakeholder perspectives
Anouschka van Leeuwen, Marije Goudriaan, Ünal Aksu (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial analítica del aprendizaje ética

Temas IA: ética de la IA IA y educación estudio empírico

Resumen:

Texto completo

Most higher education institutions employ study advisors to support their students. To adequately perform their task, study advisors have access to study information about their students. Using AI techniques to analyze that information and to predict if a student might be at risk of study delay could be a valuable tool in study advisors' practice. In this paper, we present a use case of how such a tool was developed (in the form of a dashboard) and which steps and considerations played a role in the responsible deployment of the tool. Three aspects are described: first, we present the timeline of the case study and zoom in on how the macro-level of the institution (where the groundwork is...

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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)
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