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  • Computers & Education: Artificial Intelligence

Revistas: Computers & Education: Artificial Intelligence

Nº de publicaciones: 569

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Artificial intelligence in education: The three paradigms
Fan Ouyang, Pengcheng Jiao (2021)
Computers & Education: Artificial Intelligence 2
Detalles Cerrar โœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial tecnología educativa teorías de aprendizaje

Resumen:

Texto completo

With the development of computing and information processing techniques, artificial intelligence (AI) has been extensively applied in education. Artificial intelligence in education (AIEd) opens new opportunities, potentials, and challenges in educational practices. In its short history, AIEd has been undergoing several paradigmatic shifts, which are characterized into three paradigms in this position paper: AI-directed, learner-as-recipient, AI-supported, learner-as-collaborator, and AI-empowered, learner-as-leader. In three paradigms, AI techniques are used to address educational and learning issues in varied ways. AI is used to represent knowledge models and direct cognitive learning...

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Comparative analysis of NLP-driven MCQ generators from text sources
Asmae Azzi, Ferenc Erdล‘s, Richárd Németh (2025)
Computers & Education: Artificial Intelligence 9
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial creación de materiales evaluación

Resumen:

Texto completo

The application of learning sciences with technology has been shown to boost learner interactions, yet the potential of advanced tool, particularly those that leverage Natural Language Processing (NLP), still very much untapped in learning contexts. This paper speaks to this age-old problem of generating quality Multiple-Choice questions (MCQs) – a prevalent but time-consuming mode of assessment – via the suggested comprehensive comparison study of template-based AI solutions. The study contrasts general-purpose Large Language Models (LLMs) with specialized MCQ-focused AI programs. The scientific approach employed was quite stringent, where each of the software applications was benchmarked...

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Adaptive formative assessment system based on computerized adaptive testing and the learning memory cycle for personalized learning
Albert C.M. Yang, Brendan Flanagan, Hiroaki Ogata (2022)
Computers & Education: Artificial Intelligence 3
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial evaluación tecnología educativa

Resumen:

Texto completo

Computerized adaptive testing (CAT) can effectively facilitate student assessment by dynamically selecting questions on the basis of learner knowledge and item difficulty. However, most CAT models are designed for one-time evaluation rather than improving learning through formative assessment. Since students cannot remember everything, encouraging them to repeatedly evaluate their knowledge state and identify their weaknesses is critical when developing an adaptive formative assessment system in real educational contexts. This study aims to achieve this goal by proposing an adaptive formative assessment system based on CAT and the learning memory cycle to enable the repeated evaluation of...

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Mapping the evolution of AI in education: Toward a co-adaptive and human-centered paradigm
Shihui Feng, Huilin Zhang, Dragan Gaševiฤ‡ (2025)
Computers & Education: Artificial Intelligence 9
Detalles Cerrar โœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial tecnología educativa analítica del aprendizaje

Resumen:

Texto completo

This study analyzes 2398 research articles published between 2020 and 2024 across eight core venues related to the field of Artificial Intelligence in Education (AIED). Using a three-level knowledge co-occurrence network analysis, this study analyzes the knowledge structure of the field, the evolving knowledge clusters, and the emerging frontiers. The findings reveal that AIED research is centered on developing AI-assisted systems and using AI to support educational analysis, with sustained themes such as intelligent tutoring systems, learning analytics, and natural language processing, alongside rising interest in large language models (LLMs) and generative artificial intelligence (GenAI...

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The Scaffolded AI literacy (SAIL) framework: Results of a Delphi study for equitable AI literacy framework design in education
Kathryn MacCallum, David Parsons, Mahsa Mohaghegh (2026)
Computers & Education: Artificial Intelligence 10
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA inclusión y equidad

Resumen:

Texto completo

Developments in AI technologies and their increasing use in education have prompted ongoing interest in the development of generally applicable AI literacy frameworks to ensure equity of access to knowledge, skills, and understanding. Researchers have investigated the components of AI literacy, how they can be structured, and how they can be developed in educators and learners. Despite much work in this area, and the opportunities and challenges presented by generative AI technologies, most recent frameworks have been confined to those that simply aggregate older ideas from the literature or those that focus on non-generalisable contexts. Few existing frameworks provide novel perspectives...

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Generative AI tools as educators’ assistants: Designing and implementing inquiry-based lesson plans
Maria Moundridou, Nikolaos Matzakos, Spyridon Doukakis (2024)
Computers & Education: Artificial Intelligence 7
Detalles Cerrar โœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial creación de materiales diseño curricular

Resumen:

Texto completo

This study investigates the integration of Generative AI (GenAI) tools into educational practices, specifically focusing on the design of Inquiry-Based Learning (IBL) lesson plans. Based on a particular IBL framework that synthesizes the core attributes of IBL by combining the strengths of various models, the study explores educators' potential utilization of GenAI tools across the framework's phases. Among other capabilities, GenAI tools were examined for their support in content creation, assessment and feedback processes, as well as in the design of learning activities and lesson plans. This examination informed the classification of GenAI tools in this study, organizing them according...

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Creating an AI-powered platform for generating modelling problems: A case study on direct variation in secondary school mathematics
Chung Kwan Lo, Xiaowei Huang, Ho Wai Cheung (2026)
Computers & Education: Artificial Intelligence 11
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial creación de materiales educación primaria y secundaria

Resumen:

Texto completo

Integrating mathematical modelling into school curricula is essential for connecting school mathematics with real-world applications. However, teachers often lack the time and resources to design high-quality modelling tasks. While generative artificial intelligence (GenAI) can rapidly produce educational content, existing tools typically generate conventional word problems or routine mathematics exercises rather than resources that foster modelling competencies. This study reports on the design and evaluation of an AI-powered platform that generates mathematical modelling problems and associated pedagogical recommendations grounded in established design principles and retrieval-augmented...

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Generative AI in academic writing: Does information on authorship impact learners’ revision behavior?
Anna Radtke, Nikol Rummel (2025)
Computers & Education: Artificial Intelligence 8
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial escritura académica expresión escrita

Resumen:

Texto completo

The role of generative artificial intelligence (AI) in education has expanded significantly over recent years. AI-based text generators such as ChatGPT provide an accessible and effective tool for learners, particularly in academic writing. While revision is considered an essential part of both individual and collaborative writing, research on the revision of AI-generated texts remains limited. However, with the growing adoption of generative AI in education, learners’ ability to effectively revise AI-generated content is likely to become increasingly important in the future. The aim of this study was to investigate whether learners exhibit different revision behaviors when presented with...

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A systematic review of intelligent tutoring systems based on Gross body movement detected using computer vision
T.S. Ashwin, Vijay Prakash, Ramkumar Rajendran (2023)
Computers & Education: Artificial Intelligence 4
Detalles Cerrar โœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial tecnología educativa comunicación no verbal

Resumen:

Texto completo en HTML

The computer vision applications in intelligent tutoring systems (ITS) have enabled its use in various domains such as dance and sports. The adaptation in the tutoring system is based on the analysis of hand gestures, body postures, and movement. All these are termed as gross body movements (GBM). The use of these in the intelligent tutoring systems is termed as GBM-ITS in this article. There is no survey paper that considers the use of GBM-ITS in different domains. A systematic process is followed to address six review questions (RQs) by considering the 33 articles published between 2010 to 2022. A brief discussion regarding the methods adopted for analysis and the performance...

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Artificial Intelligence education for young children: Why, what, and how in curriculum design and implementation
Weipeng Yang (2022)
Computers & Education: Artificial Intelligence 3
Detalles Cerrar โœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial alfabetización en IA educación infantil

Resumen:

Texto completo

Artificial intelligence (AI) education has posed fundamental challenges to early childhood education (ECE), including (1) why AI is necessary and appropriate for learning in the early years, (2) what is the subset of key AI ideas and concepts that can be learned by children, and (3) how to engage children in a meaningful experience that allows them to acquire these fundamental AI concepts. This report from the ECE field discusses the key considerations for developing an AI curriculum for young children. These key considerations altogether present an innovative pedagogical model for AI literacy education in early childhood. This model argues that AI literacy is an organic part of digital...

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