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  • Computers & Education: Artificial Intelligence

Revistas: Computers & Education: Artificial Intelligence

Nº de publicaciones: 569

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Myths, mis- and preconceptions of artificial intelligence: A review of the literature
Arne Bewersdorff, Xiaoming Zhai, Jessica Roberts (2023)
Computers & Education: Artificial Intelligence 4
Detalles Cerrar โœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial alfabetización en IA competencia digital

Resumen:

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Artificial Intelligence (AI) is prevalent in nearly every aspect of our lives. However, recent studies have found a significant amount of confusion and misunderstanding surrounding AI. To develop effective educational programs in the field of AI, it is vital to examine and understand learners' pre- and misconceptions as well as myths about AI. This study examined a corpus of 591 studies. 25 relevant studies were identified by applying the following eligibility criteria: English-written original empirical research on education and AI and reporting AI conceptions in a formal learning context. The review found studies from six continents, with the majority conducted in Europe and North...

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Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education
Thomas K.F. Chiu, Qi Xia, Xinyan Zhou (2023)
Computers & Education: Artificial Intelligence 4
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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial tecnología educativa evaluación

Resumen:

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Applications of artificial intelligence in education (AIEd) are emerging and are new to researchers and practitioners alike. Reviews of the relevant literature have not examined how AI technologies have been integrated into each of the four key educational domains of learning, teaching, assessment, and administration. The relationships between the technologies and learning outcomes for students and teachers have also been neglected. This systematic review study aims to understand the opportunities and challenges of AIEd by examining the literature from the last 10 years (2012–2021) using matrix coding and content analysis approaches. The results present the current focus of AIEd...

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Empowering learners for the age of artificial intelligence
Dragan Gaševiฤ‡, George Siemens, Shazia Sadiq (2023)
Computers & Education: Artificial Intelligence 4
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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial alfabetización en IA competencia digital

Resumen:

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Although studied for decades by the research community, artificial intelligence (AI) in education has recently sparked much public debate with the wide-spread popularity of systems such as ChatGPT and DALL-E. Existing literature offers a wealth of research on design, deploying and evaluating AI-driven systems in education. However, the challenges related to the growing influence of AI in the society, calls for revisiting research foundations of AI in education in order to inform decision-making in policy and guide future research. This special issue of Computers & Education: Artificial Intelligence brings 11 papers that explore the theme of empowering learners for the age of AI...

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A systematic review on artificial intelligence dialogue systems for enhancing English as foreign language students’ interactional competence in the university
Chunpeng Zhai, Santoso Wibowo (2023)
Computers & Education: Artificial Intelligence 4
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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial chatbots enseñanza/aprendizaje de lenguas

Resumen:

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Previous studies demonstrate that the use of artificial intelligence (AI) dialogue systems for English as a Foreign Language (EFL) education has effectively improved university students' reading, writing, and listening abilities. However, there are limited systematic reviews focused on the evidence-based interactional competence of EFL university students. This study aims to examine the use of AI dialogue systems to enhance EFL university students' interactional competence. Through the PRISMA process, this study identified 28 articles published between January 2013 and August 2022 in journals and conferences from the most popular databases, including Google Scholar, ProQuest, IEEE,...

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Empowering educators to be AI-ready
Rosemary Luckin, Mutlu Cukurova, Carmel Kent (2022)
Computers & Education: Artificial Intelligence 3
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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial formación de profesores alfabetización en IA

Resumen:

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In this paper, we present the concept of AI Readiness, along with a framework for developing AI Readiness training. ‘AI Readiness ’ can be framed as a contextualised way of helping people to understand AI , in particular, data-driven AI. The nature of AI Readiness training is not the same as merely learning about AI. Rather, AI Readiness recognises the diversity of the professions, workplaces and sectors for whom AI has a potential impact. For example, AI Readiness for lawyers may be based on the same principles as AI Readiness for Educators. However, the details will be contextualised differently. AI Readiness recognises that such contextualisation is not an option: it is essential...

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Machine learning role playing game: Instructional design of AI education for age-appropriate in K-12 and beyond
Yusuke Kajiwara, Ayano Matsuoka, Fumina Shinbo (2023)
Computers & Education: Artificial Intelligence 5
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA juegos

Resumen:

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The study on K-12 artificial intelligence (AI) education poses three challenges: ''(i) What topics in the machine learning (ML) process should be hidden from K-12 students?” '' (ii) How do you teach K-12 students the mathematical model behind the ML process?” and '' (iii) How does AI education influence the acceptance of AI technology?”. This paper addresses challenges (i) to (iii). We developed a machine learning role-playing game (ML-RPG) and had 166 participants from lower grades of elementary school to the elderly use it. Participants used ML-RPG to role-play the ML process of acquiring data, representing data with graphs, inferencing based on if-then rules, and optimizing parameters...

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Towards responsible AI in education: A Delphi-AHP-based framework for evaluating educational large language models
Pingrong Lin, Qin Deng, Yanbian Zhou (2026)
Computers & Education: Artificial Intelligence 10
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial grandes modelos de lenguaje ética

Resumen:

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As large language models (LLMs) become deeply integrated into the educational landscape, evaluation criteria focusing solely on performance are insufficient to mitigate the risks of value misalignment and socioethical concerns. To steer educational LLMs towards responsible and beneficial development, this study aims to construct a multidimensional evaluation framework grounded in educational theory. Initially, a preliminary pool of evaluation indicators was established on the basis of a review of the literature and pedagogical theories. The Delphi method was subsequently employed to refine the indicator structure by integrating opinions from 21 cross-disciplinary experts. The analytic...

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Bridging technology and pedagogy from a global lens: Teachers’ perspectives on integrating ChatGPT in English language teaching
Mohammad H. Al-khresheh (2024)
Computers & Education: Artificial Intelligence 6
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT creencias y actitudes de los profesores

Resumen:

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The rise of Artificial Intelligence in educational contexts has sparked both excitement and trepidation, highlighting the urgent need to investigate its implications, especially in English Language Teaching. In light of this context, this study aimed to find out how English language teachers perceive the pedagogical benefits and challenges posed by ChatGPT when incorporated into ELT and identify potential avenues for such digital innovations. Adopting a qualitative research design, data were purposively collected by distributing an open-ended questionnaire to 46 English language teachers from multiple countries. This sample was solicited via the academic and research platform ResearchGate,...

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Examining the relationship between the L2 motivational self system and technology acceptance model post ChatGPT introduction and utilization
Jerry Huang, Atsushi Mizumoto (2024)
Computers & Education: Artificial Intelligence 7
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial motivación ChatGPT

Resumen:

Texto completo

Since the introduction of the L2 Motivational Self System (L2MSS), numerous studies worldwide have highlighted its effectiveness in elucidating Second Language Acquisition. However, the influence of generative artificial intelligence (GenAI) technology on this model remains largely unexplored. The Technology Acceptance Model (TAM) is a widely employed framework for examining the impact of a new technology, and this study explores the intercorrelation when these two models are considered together. Conducted with 35 s-year university English as a foreign language (EFL) students in humanities, the study involved two sessions of instructor-led ChatGPT usage writing workshops, followed by the...

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Rewriting the curriculum: A systematic review of generative AI-driven pedagogical change and emerging systems of learning in higher education
Alvedi Sabani, Mohamed H. Farah, Putra Endi Catyanadika (2026)
Computers & Education: Artificial Intelligence 11
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial educación superior diseño curricular

Resumen:

Texto completo

The rapid rise of generative artificial intelligence (GenAI) tools such as ChatGPT is transforming the landscape of higher education. Beyond their immediate use in writing support and tutoring, these tools are driving a more profound transformation in pedagogy, curriculum design, and the foundational structures of learning itself. Drawing on a triangulated mixed-methods design, this study integrates a scoping review, bibliometric mapping (VOSviewer, n=209 records), a systematic literature review of 36 peer-reviewed articles (2023–2025), and ten semi-structured interviews with academic leaders and educators across five institutions in Australia and Indonesia. The central aim of the study is...

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