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IA: Bibliografía: IA y educación

Nº de publicaciones: 360
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Fostering student competencies and perceptions through artificial intelligence of things educational platform
Sasithorn Chookaew, Pornchai Kitcharoen, Suppachai Howimanporn (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA educación superior

Temas IA: IA y educación estudio empírico

Resumen:

Texto completo

The growing demand for artificial intelligence (AI) skills across various sectors has enhanced AI-focused careers and shaped academic exploration in educational institutions. These institutions have been actively developing teaching methods that enhance practical AI applications, particularly through integrating AI with the Internet of Things (IoT), leading to the emergence of the Artificial Intelligence of Things (AIoT). This convergence promises significant advancements in AI education, addressing gaps in structured learning methods for AIoT. This study explored AIoT's application in Smart Farming (SF) and its potential to enrich AI education and sectoral advancements. The AIoT platform...

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Artificial intelligence in multimodal learning analytics: A systematic literature review
Mehrnoush Mohammadi, Elham Tajik, Roberto Martinez-Maldonado (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial analítica del aprendizaje multimodalidad

Temas IA: IA y educación revisión de bibliografía

Resumen:

Texto completo

The proliferation of educational technologies has generated unprecedented volumes of diverse, multimodal learner data, offering rich insights into learning processes and outcomes. However, leveraging this complex, multimodal data requires advanced analytical methods. While Multimodal Learning Analytics (MMLA) offers promise for exploring this data, the potential of Artificial Intelligence (AI) to enhance MMLA remains largely unexplored. This paper bridges these two evolving domains by conducting the first systematic literature review at the intersection of AI and MMLA, analyzing 43 peer-reviewed papers from 11 reputable databases published between 2019 and 2024. The findings indicate a...

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Teaching AI competencies: Experiences from coaching interdisciplinary teams to develop AI prototypes
Aidin Azamnouri, Dominik Hörauf, Brigitte Schönberger (2026)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: experiencia práctica

Temas: inteligencia artificial alfabetización en IA educación superior

Temas IA: IA y educación

Resumen:

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Artificial Intelligence (AI) is changing and revolutionizing today’s economy and work life. A basic understanding of this technology is beneficial for even non-technical roles, highlighting the interdisciplinary nature of AI and its diverse applications. However, it is difficult to create significant, practically relevant learning experiences related to AI for students of different backgrounds, especially for students outside of computer science programs. To tackle this problem, we designed and evaluated an interdisciplinary, project-based course combined with creativity methods, where students from diverse study programs worked on an everyday challenge and tried to build AI prototypes to...

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How can we design for learning in an AI world?
Lucila Carvalho, Roberto Martinez-Maldonado, Yi-Shan Tsai (2022)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial diseño curricular alfabetización en IA

Temas IA: IA y educación

Resumen:

Texto completo

Fast improvements in computing power and Artificial Intelligence (AI) algorithms enable us to automate important decisions that shape our everyday lives, and drive workplace transformations. It is predicted that many people will find themselves unprepared to deal with high degrees of change and uncertainty, increasingly posed by AI in some sectors. A critical educational challenge involves figuring out how to support young generations to develop the capabilities that they will need to adapt to, and innovate in, a world with AI. This article argues that both educators and learners should be involved not only in learning but also in co-designing for learning in an AI world. Further, they...

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Leveraging AI-powered mobile learning: A pedagogically informed framework
Sofia Moya, Mar Camacho (2024)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial tecnología educativa

Temas IA: IA y educación revisión de bibliografía

Resumen:

Texto completo

The convergence of Artificial Intelligence (AI) and mobile learning (mLearning) has revolutionized digital education, heralding a transformative paradigm shift in learning methodologies. AI-powered mLearning holds promise but requires deep understanding of pedagogical principles. Concerns over smartphone overuse have heightened discussions about mLearning integration. In this context, with the rising penetration of AI in various educational settings, it is crucial that research delves into the pedagogically sound integration of AI into mLearning environments. A systematic literature review of forty-two articles has yielded a framework summarizing mLearning attributes, functionalities, and...

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Empowering preservice teachers’ AI literacy: Current understanding, influential factors, and strategies for improvement
Bo Pei, Jie Lu, Xilong Jing (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial formación de profesores alfabetización en IA

Temas IA: IA y educación estudio empírico

Resumen:

Texto completo

Artificial Intelligence (AI) holds significant potential in transforming future educational practices by enhancing teaching and learning. However, its full realization heavily depends on teachers' AI literacy, which significantly influences their engagement levels with AI technologies and their abilities to adopt AI technologies effectively in similar settings. In this study, we conduct a holistic analysis examining pre-service teachers' AI literacy for providing insights about current understanding of AI technologies, perceptions of the applications of AI in education, ethical issues and strategies for effectively enhancing AI literacy. Guided by Bloom's Taxonomy, a comprehensive, layered...

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Unleashing human potential: An artificial intelligence competency framework for K–12 education
Siu-Cheung Kong, Wenxi Hu (2026)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial alfabetización en IA educación primaria y secundaria

Temas IA: IA y educación revisión de bibliografía

Resumen:

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This study explores strategic approaches for integrating artificial intelligence (AI) into K–12 education to prepare learners for the AI era. It addresses two critical questions: 1) What are the key components of AI competency frameworks identified in current research? 2) What framework can guide the effective, responsible integration of AI in K–12 while prioritising human values? We conducted a scoping review of 54 studies, identifying three core student competencies: foundational AI knowledge, practical and cognitive skills of using AI, and ethical awareness. However, existing frameworks place limited emphasis on developing human values. Consequently, we propose a three-component...

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Research trends in multimodal learning analytics: A systematic mapping study
Hamza Ouhaichi, Daniel Spikol, Bahtijar Vogel (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial analítica del aprendizaje tecnología educativa

Temas IA: IA y educación revisión de bibliografía

Resumen:

Texto completo en HTML

Understanding and improving education are critical goals of learning analytics. However, learning is not always mediated or aided by a digital system that can capture digital traces. Learning in such environments can be studied by recording, processing, and analyzing different signals, including video and audio, so that traces of actors’ actions and interactions are captured. Multimodal Learning Analytics refers to analyzing these signals through the use and integration of these multiple modes. However, a need exists to evaluate how research is conducted in the emerging field of multimodal learning analytics to aid and evaluate how these systems work. With the growth of multimodal...

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Developing middle school students’ understanding of machine learning in an African school
Ismaila Temitayo Sanusi, Solomon Sunday Oyelere, Henriikka Vartiainen (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA educación primaria y secundaria

Temas IA: IA y educación estudio empírico

Resumen:

Texto completo

Researchers' efforts to build a knowledge base of how middle school students learn about machine learning (ML) is limited, particularly, considering the African context. Hence, we conducted an experimental classroom study (N = 32) within the context of extracurricular activities in a Nigerian middle school to discern how students engaged with ML activities. Furthermore, we explored whether participation in our intervention program elicit changes in students' ML comprehension, and perceptions. Using multiple qualitative data collection techniques including interviews, pre-post open-ended surveys and written assessments, we uncover evidence that indicated evolution of students’ ML...

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Opportunities, challenges and school strategies for integrating generative AI in education
Davy Tsz Kit Ng, Eagle Kai Chi Chan, Chung Kwan Lo (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial creencias y actitudes de los profesores profesorado

Temas IA: IA y educación estudio empírico

Resumen:

Texto completo

The increasing accessibility of Generative Artificial Intelligence (GenAI) tools has led to their exploration and adoption in education. This qualitative study investigates the opportunities and challenges associated with integrating GenAI in education, and the strategies that encourage teachers and students to embrace GenAI in school settings. We recruited 76 educators in Canada to participate in a professional training seminar about GenAI and expressed their views through online surveys. Through written reflections, an optimistic outlook on GenAI's role in education was identified among the teachers, and some discipline-specific ideas were proposed. Thematic analysis reveals three key...

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