Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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In an era where international education trends increasingly prioritize the integration of artificial intelligence (AI), there is a critical need to understand how students effectively use these tools to foster innovative and deep learning. This study addresses this gap by investigating higher education students’ experiences with advanced AI tools within a nine-week instructional experiment structured by the Predict-Observe-Explain (POE) model. Our primary motivation was to explore how a structured, inquiry-based framework could scaffold the development of sophisticated AI literacy, guiding students toward strategic human-AI partnerships. We employed a qualitative case study design,...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The recent advances in artificial intelligence (AI) present both challenges and opportunities for educational practitioners. A new AI curriculum has been developed and piloted in many primary schools in Beijing, China. The present study had two aims: (1) to test the factor structure of students’ motivation to learn AI and (2) to examine possible gender differences in students’ motivation to learn AI. This online questionnaire–based research recruited 420 primary students from the piloting schools. Structural equation modeling was employed to test a hypothesized model comprising six motivational factors and strategies: (1) intrinsic motivation, (2) career motivation, (3) attention, (4)...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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This study addresses the gap between the theoretical framework of Generative Artificial Intelligence (GenAI) literacy and its practical development, by investigating how university students in the humanities acquire and refine GenAI-related knowledge, skills, and attitudes. Through a 16-week intervention structured into three progressive phases, 16 students engaged with multiple GenAI tools while developing competencies in research and academic writing. The data collection included structured GenAI dialogues, periodic questionnaires, reflective assignments, and in-depth interviews. The findings revealed three interconnected dimensions of GenAI literacy development. Students internalized and...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Artificial intelligence technologies are rapidly advancing. As part of this development, large language models (LLMs) are increasingly being used when humans interact with systems based on artificial intelligence (AI), posing both new opportunities and challenges. When interacting with LLM-based AI system in a goal-directed manner, prompt engineering has evolved as a skill of formulating precise and well-structured instructions to elicit desired responses or information from the LLM, optimizing the effectiveness of the interaction. However, research on the perspectives of non-experts using LLM-based AI systems through prompt engineering and on how AI literacy affects prompting behavior is...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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The global landscape of higher education is undergoing a profound transformation driven by Generative Artificial Intelligence (GenAI) and pervasive digital technologies, particularly posing fundamental challenges to the traditional liberal arts education model grounded in holistic human development, broad intellectual inquiry, and student engagement. This position paper examines Lingnan University (Lingnan), Hong Kong’s longest-established institution of higher education, as a critical case of how a liberal arts university can strategically transform itself in the digital era without relinquishing its humanistic foundations. It analyzes Lingnan’s institutional transformation towards a “...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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With the increasing relevance of Artificial Intelligence (AI) in society, AI literacy is increasingly being integrated into K-12 education. However, students already form conceptions about modern technologies (especially AI) from their interaction with their everyday environment. In this paper, we conduct a systematic scoping review on the emerging research field of secondary school students' mental models and attitudes regarding AI. Our goal is to identify research approaches and uncover research gaps. To achieve this, we reviewed literature published within the timeframe of 2012–2022 found in the ACM, IEEE, ERIC, and Science Direct databases. In total, we identified 18 relevant papers,...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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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....

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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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

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Artificial intelligence (AI) has provided numerous learning benefits due to and beyond its personalization capabilities. AI significantly alters the interaction dynamics among students, teachers, and technology, necessitating the collaborative integration of AI in education instead of mere mechanical use. This study investigates pre-service teachers' perceptions and capabilities within the framework of social cognitive theory, focusing on their attitudes, intentions, self-efficacy, and AI literacy for effective AI integration. We discuss how these perceptions and capabilities help pre-service teachers prepare for the changing identities of being a teacher in AI-integrated education....

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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As society deals with the advances and disruptions owing to artificial intelligence, children must understand how it works. Especially that children grow up with these technologies will help them develop into informed citizens and better understand the world around them. While artificial intelligence education has been considered relevant, there is a growing global trend to teach artificial intelligence across K-12 levels. This development has necessitated designing and implementing artificial intelligence curriculum and related resources in schools. Notwithstanding that the developed curriculum may be adopted in another context, unique needs exist that suggest contextual and cultural...

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