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  • Computers & Education: Artificial Intelligence

Revistas: Computers & Education: Artificial Intelligence

Nº de publicaciones: 569

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Artificial intelligence in vocational education and training: A systematic review of educational purposes, theoretical conceptualizations, and empirical effectiveness
Viola Deutscher, Herbert Thomann, Olga Zlatkin-Troitschanskaia (2026)
Computers & Education: Artificial Intelligence 11
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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial tecnología educativa

Resumen:

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Background Artificial intelligence (AI) increasingly shapes vocational education and training (VET). Despite its transformative potential, a systematic overview of the design characteristics and empirical effectiveness of AI-based interventions in vocational contexts remains lacking. Aim This review synthesizes empirical research on AI-supported interventions in VET, focusing on educational purposes, theoretical conceptualizations of human-AI interaction, methodological designs, and evidence of learning outcomes. Method Following PRISMA guidelines, 26 empirical studies published between 2015 and 2026 were identified through ERIC, Web of Science, and Elicit, and analyzed using a theory-...

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Pre-service teachers preparedness for AI-integrated education: An investigation from perceptions, capabilities, and teachers’ identity changes
Lihang Guan, Yue Zhang, Mingyue Michelle Gu (2025)
Computers & Education: Artificial Intelligence 8
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial formación de profesores creencias y actitudes de los profesores

Resumen:

Texto completo

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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Artificial Intelligence teaching and learning in K-12 from 2019 to 2022: A systematic literature review
Saman Rizvi, Jane Waite, Sue Sentance (2023)
Computers & Education: Artificial Intelligence 4
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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial alfabetización en IA educación primaria y secundaria

Resumen:

Texto completo en HTML

There is an emerging interest in Artificial Intelligence (AI) teaching and learning in the K-12 setting. While some work has explored the educational content and resources used for this purpose, there is limited empirical evidence on the effectiveness of such AI education interventions. The primary objective of the systematic literature review presented in this paper was to examine research with empirical evidence reporting learning outcomes for teaching and learning AI in K-12 between 2019 and 2022. Through a rigorous selection process, a total of 28 studies were included in the final analysis out of 8,175 papers identified from five research databases using specific search terms....

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Developing and validating the scale of language teachers’ design thinking competency in artificial intelligence language teaching (LTDTAILT)
Amir Reza Rahimi (2025)
Computers & Education: Artificial Intelligence 8
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial profesorado formación de profesores

Resumen:

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Design thinking (DT) is one of the critical 21st-century digital skills that allows individuals to solve real-world problems by redesigning their problem procedure to achieve the desired outcome. Nowadays, cultivating DT within any educational program is becoming increasingly important for teachers since Artificial Intelligence (AI) and chatbots are available to all students. However, teachers themselves need to possess DT competency to effectively cultivate it in their students, particularly in humanistic fields like applied linguistics, Computer Assisted Language Learning (CALL), and Artificial Intelligence Language Teaching (AILT). For this reason, the researcher in the current study...

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The development and implementation of a computer adaptive progress test across European countries
Neil Rice, José Miguel Pêgo, Carlos Fernando Collares (2022)
Computers & Education: Artificial Intelligence 3
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial evaluación educación superior

Resumen:

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Longitudinal progress testing promotes self-directed deep learning across a full spectrum of knowledge, enabling early detection of underperformance and opportunities for remediation. Computer adaptive testing (CAT), where the difficulty of a test dynamically adjusts according to a test taker's ability, has benefits in a progress testing context, but significant resource and experience is required to develop appropriate test materials. This study describes how a transnational consortium from eight medical schools in five countries across Europe was formed to develop a computer adaptive progress test applicable across international curricula. 1,212 students from more than 40 nationalities...

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Conceptualizing AI literacies for children and youth: A systematic review on the design of AI literacy educational programs
Osnat Atias, Areej Mawasi (2025)
Computers & Education: Artificial Intelligence 9
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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial alfabetización en IA educación primaria y secundaria

Resumen:

Texto completo

The growing presence of Artificial Intelligence (AI) in society increases the exposure of children and youth to these technologies. In response, recent research introduced educational programs that foster AI knowledge and competencies, collectively comprising AI literacy. This study presents a systematic review of 23 articles published up to 2023 describing AI literacy programs for children and youth. We examined: (1) motivations for teaching AI literacy, (2) conceptualizations of AI literacy that informed program design, and (3) learning theories and pedagogical methods employed. The analysis identified five motivational themes: workforce, informed users, purposeful creators, advocacy, and...

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Understanding the role of study strategies and learning disabilities on student academic performance to enhance educational approaches: A proposal using artificial intelligence
Adriano Bressane, Daniel Zwirn, Alexei Essiptchouk (2024)
Computers & Education: Artificial Intelligence 6
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial estrategias de aprendizaje estudiantes con discapacidad

Resumen:

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Statement of problem: The students’ academic performance is influenced by a complex interplay among several factors. Traditional educational approaches often struggle to accommodate the diverse needs of students, leading to suboptimal learning outcomes. Purpose: This article aims to comprehensively understand the role of study strategies and learning disabilities in shaping academic performance. Through the integration of artificial intelligence (AI) tools, the purpose is to propose a decision support system (DSS) for recommendations to improve the educational approach. Method: To identify features with higher explanatory power based on empirical data, we employed an artificial neural...

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Pedagogy first, technology second: Cross-level relationships between teacher professional knowledge and student learning in artificial intelligence (AI) education
Weipeng Shen, Ching Sing Chai, Thomas K.F. Chiu (2026)
Computers & Education: Artificial Intelligence 10
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial profesorado alfabetización en IA

Resumen:

Texto completo

For current K-12 AI education, understanding how teacher professional knowledge influences student learning is essential. This study employed social cognitive theory to conceptualize teachers' instructional practice and conducted a multilevel structural equation model analysis to examine the cross-level effects of teacher AI knowledge (TAIK) and pedagogical AI knowledge (TPAIK) on student AI knowledge (SAIK), perceptions of AI for social good (SAISG), and behavioral intention to learn AI (SBIAI). Data from 46 secondary school teachers and 2832 students revealed intricate mechanisms. TAIK alone was insufficient and could slightly diminish SAISG without TPAIK. Instead, TPAIK played a...

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Towards human-AI collaboration in the competency-based curriculum development process: The case of industrial engineering and management education
Antonio Padovano, Martina Cardamone (2024)
Computers & Education: Artificial Intelligence 7
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial diseño curricular educación superior

Resumen:

Texto completo

In the endeavor to advance industrial engineering and management (IEM) education, this research underscores the imperative of supporting a dynamic and responsive adaptation of a competency-based curriculum (CBC) to meet the demands of an ever-evolving industrial landscape and job market. Our study contributes to competency-based education (CBE) by demonstrating how Artificial Intelligence (AI) can inform the definition of a CBC in the IEM field, thus initiating the pioneering steps towards a collaborative human-AI approach in CBC design. Through a stepwise methodology based on semantic analysis, text mining, natural language processing (NLP) models, informetrics approaches, and clustering...

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Preparing pre-service teachers for responsible generative AI use: Curriculum implications for ethics, privacy, and AI literacy
Lucas Kohnke, Di Zou, Chun Lai (2026)
Computers & Education: Artificial Intelligence 10
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial formación de profesores ética

Resumen:

Texto completo

This study investigated what pre-service teachers should learn about generative artificial intelligence (GenAI) by backtracking from anticipated classroom dilemmas to teacher-education design needs. Through qualitative interviews with 17 pre-service teachers at a Hong Kong university, the research explored perspectives on integrating AI into education, focusing on ethical concerns and pedagogical strategies. Grounded in the interpretivist paradigm, it revealed concerns about academic integrity, privacy and the challenge of maintaining essential human skills in a GenAI-driven educational environment. Although pre-service teachers recognised GenAI's potential to enhance teaching and learning...

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