ética

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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...

Leveraging complex systems: Leading for transformative change

Shane Dawson, Abelardo Pardo (2026)

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

As with other sectors over the last few years, Generative Artificial Intelligence (GenAI) is rapidly reshaping the education ecosystem introducing new epistemic, ethical, and organisational challenges. Education leaders face the need to shift established systems and processes to reimagine how more adaptive complexity-informed GenAI enabled systems operate with new governance, pedagogy, and strategic decision-making. In this context, traditional bureaucratic leadership structures are ill-suited for the pace, scale, and sociotechnical nature of the ongoing technological disruption. This paper addresses this gap by introducing a novel leadership framework called SPARK, designed to...

From intuition to action: Exploring teachers’ ethical awareness in the use of AI tools in education

Chun Sing Maxwell Ho, John Chi-Kin Lee (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This study investigates how teachers perceive and understand ethical issues arising from the use of artificial intelligence (AI) in education, and identifies the factors influencing their ethical awareness. Grounded in the Social Intuitionist Model (SIM), which emphasizes intuitive and emotionally driven moral judgments, the research explores teachers’ ethical perceptions as shaped by classroom experiences (micro/meso contexts) and broader social, cultural, and institutional influences (macro contexts) surrounding AI integration. Using a case study approach, data were collected through semi-structured interviews with 26 teachers from primary and secondary schools, selected for their...

Developing an artificial intelligence literacy framework: Evaluation of a literacy course for senior secondary students using a project-based learning approach

Siu-Cheung Kong, Man-Yin William Cheung, Olson Tsang (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The advent of artificial intelligence (AI) in the workplace is pressuring employees to learn how to harness this technology. The goal of promoting AI literacy is to equip educated citizens with the readiness to apply AI. The aim of this study is to provide evidence to guide the development of an AI Literacy Framework to prepare educated citizens to participate in future society. We report on a 14-h AI literacy course for senior secondary students, emphasising problem-solving competence development and adopting the project-based learning approach. One hundred and twenty-eight students completed the course, and a mixed-methods analysis was conducted to evaluate the results. A post-course test...

Personalized education and Artificial Intelligence in the United States, China, and India: A systematic review using a Human-In-The-Loop model

Aditi Bhutoria (2022)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

The traditional “one size fits all” education system has been largely criticized in recent years on the ground of its lacking the capacity to meet individual student needs. Global education systems are leaning towards a more personalized, student-centered approach. Innovations like Big Data, Machine Learning, and Artificial Intelligence (AI) have given the modern-day technology to accommodate the distinctive features of human beings - smart machines and computers have been built to understand individual-specific needs. This opens an avenue for “personalization” in the education sector. From, mushrooming of Education Technology (EdTech) start-ups to government funding in AI research, it is...

Teachers as reflective regulators of cognition: Understanding cognitive offloading in AI-augmented practice

Chun Sing Maxwell Ho, Junjun Chen (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This study investigates how teachers perceive, manage, and reflect on the cognitive implications of integrating Generative Artificial Intelligence (GenAI) into their professional practice with a focus on the evolving interplay between human judgment and automation. Using a collective case-study design, we conducted interviews with 18 in-service teachers selected from mainland Chinese and Hong Kong educational settings. We employed the cognitive offloading framework to guide data collection and thematic coding, aiming to capture teachers’ reasoning within AI-supported teaching and administration. Results revealed three interrelated processes: recognising and evaluating the need of using...

Fostering responsible AI literacy: A systematic review of K-12 AI ethics education

Ming Ma, Davy Tsz Kit Ng, Zhichun Liu (2025)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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...

RICE AlgebraBot: Lessons learned from designing and developing responsible conversational AI using induction, concretization, and exemplification to support algebra learning

Chenglu Li, Wanli Xing, Yukyeong Song (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The importance and challenge of Algebra learning is widely recognized, with students across the U.S. facing difficulties due to the subject's complexity. While extensive research has focused on enhancing Algebra learning in K-12 education, the reusability, scalability, and effectiveness of the strategies employed (e.g., manual interventions and digital tutoring platforms) remain limited. Conversational AI (ConvAI), enabled by the advancement of large language models (LLMs), emerges as a potential tool for automatic, personalized, and effective student support. However, ethical concerns surrounding diversity, safety, sentiment, and stereotype associated with ConvAI are prominent, and...

New systems of learning for distance learning institutions? A six-study review of implementing AIDA

Bart Rienties, Tim Coughlan, John Domingue (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This study examines how a large-scale distance learning institution in the UK designed, implemented, and evaluated an artificial intelligence digital assistant (AIDA) using Sharples' (2025) embedded systems approach. Through six iterative Design-Based Research studies over 18 months, involving 498 students and 20 staff, we explored three questions: (1) how perceptions of AIDA change with experience; (2) its impact on engagement and learning; and (3) how GenAI can be responsibly deployed at a system level. Early Studies 1–3 gathered student preferences for AIDA's design and identified benefits of 24/7, context-specific support alongside concerns over ethics, academic integrity, and data...

Exploring the relationship between empowerment in using artificial intelligence for problem-solving and artificial intelligence ethical awareness: Multi-group structural equation modelling

Siu-Cheung Kong, Jinyu Zhu (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

While increasing attention has been given to cultivating students' artificial intelligence (AI) ethical awareness, the factors that contribute to its development remain underexplored. Psychological empowerment is a crucial motivational factor influencing students' intentions to incorporate ethical norms in developing AI-based solutions. Hence, this study filled this up by exploring the relationship between empowerment in using AI for problem-solving and AI ethical awareness. Empowerment in using AI for problem-solving in this study comprised three components: impact, self-efficacy and meaningfulness. Data was collected from 681 students from secondary schools and a university in Hong Kong....