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Bibliografía: ética

Nº de publicaciones: 132
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Exploring student and teacher perceptions of ChatGPT use in higher education: A Q-Methodology study
Alma S. Espartinez (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study examined and categorized the views of students and teachers in Philippine Higher Education Institutions (HEIs) and correlated those with similar patterns of views regarding ChatGPT usage. While previous studies explored ChatGPT's risks and benefits, a significant gap remains in understanding how college students and educators perceive this technology for its culturally relevant and equitable integration into teaching and learning. Using Q-Methodology, 27 participants (15 students and 12 professors) were surveyed, interviewed, and invited to rank-order 36 statements about using ChatGPT. Three factors emerged from using factor analysis: Ethical Tech Guardians, Balanced Pedagogy...

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Artificial intelligence in the L2 classroom: Implications and challenges on ethics and equity in higher education: A 21st century Pandora's box
Deema Dakakni, Nehme Safa (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The purpose of this research was to investigate attitudes of both students and teachers concerning Artificial Intelligence (AI) tools in the L2 classroom. The study was a descriptive, qualitative, mixedmethods case study whose data were taken from a purposive, convenient sample at a private, English-speaking university during the Summer Semester 2023 in Beirut, Lebanon. Data collection primarily involved an online survey on Google forms which was given to a sample of 49 students taking a research-based English 202 course of which 46 were completed. Afterwards, six English teachers and six students were chosen based on their voluntary will to participate in individual interviews for the...

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Developing and validating an artificial intelligence ethical awareness scale for secondary and university students: Cultivating ethical awareness through problem-solving with artificial intelligence tools
Siu-Cheung Kong, Jinyu Zhu (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Although there is growing attention to artificial intelligence (AI) ethics education with the rapid surge of AI technology, little research has explored the use of problem-solving to cultivate students' AI ethical awareness. To address this gap, this study developed a scale to multidimensionally measure AI ethical awareness and cultivated students' AI ethical awareness through problem-solving using AI tools within an AI literacy course. A total of 573 Hong Kong secondary and university students participated in a 14-h course. Data was collected through the AI Ethical Awareness Scale (AIEAS) questionnaire and students' self-reflective writings. The AIEAS framework, encompassing three...

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AI ethics education: A systematic literature review
Lucas J. Wiese, Indira Patil, Daniel S. Schiff (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

The potential of AI technology to transform human life, well-being, and daily work is faced with numerous risks and challenges yet to be fully accounted for. However, the complexity of AI ethics makes it hard to pin down what to teach, how to teach it, and how to assess its effectiveness. Drawing on an educational perspective, this paper presents a systematic literature review and qualitative analysis of the early years of AI ethics education as a formalized field to analyze whether its future trajectory is aligned with educational best practices. Our review highlights core challenges in AI ethics education and the content, assessment, and pedagogy used in real interventions over recent...

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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

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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Artificial intelligence ethical awareness of university students in Ghana: A network and latent profile analyses
Bernard Yaw Sekyi Acquah, Iddrisu Salifu, Francis Arthur (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Artificial intelligence is becoming increasingly integrated into students’ academic lives in Ghana, making it crucial to examine their perspectives on ethical dimensions. Against this backdrop, this study assesses the artificial intelligence ethical awareness (AIEA) among 509 Ghanaian university students across the dimensions of human autonomy, beneficence, and fairness, based on AIEA scale originally developed and validated in Hong Kong. The confirmatory factor analysis supported the scale’s three-factor structure within this setting. The network analysis also demonstrated meaningful interconnection among the dimensions, with select items serving as conceptual links, most prominently tying...

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Beyond binary outcomes: Evaluating and mitigating bias in national standardized test score prediction
Lin Li, Namrata Srivatava, Jia Rong (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

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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Diverging perceptions of artificial intelligence in higher education: A comparison of student and public assessments on risks and damages of academic performance prediction in Germany
Marco Lünich, Birte Keller, Frank Marcinkowski (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

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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Human-centred learning analytics and AI in education: A systematic literature review
Riordan Alfredo, Vanessa Echeverria, Yueqiao Jin (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

The rapid expansion of Learning Analytics (LA) and Artificial Intelligence in Education (AIED) offers new scalable, data-intensive systems but raises concerns about data privacy and agency. Excluding stakeholders—like students and teachers—from the design process can potentially lead to mistrust and inadequately aligned tools. Despite a shift towards human-centred design in recent LA and AIED research, there remain gaps in our understanding of the importance of human control, safety, reliability, and trustworthiness in the design and implementation of these systems. We conducted a systematic literature review to explore these concerns and gaps. We analysed 108 papers to provide insights...

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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
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

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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