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  • Computers & Education: Artificial Intelligence

Revistas: Computers & Education: Artificial Intelligence

Nº de publicaciones: 569

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Enhancing Feedback Quality at Scale: Leveraging Machine Learning for Learner-Centered Feedback
Ahmad Ari Aldino, Yi-Shan Tsai, Rafael Ferreira Mello (2024)
Computers & Education: Artificial Intelligence 7
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial feedback/retroalimentación educación superior

Resumen:

Texto completo

In higher education, delivering effective feedback is pivotal for enhancing student learning but remains challenging due to the scale and diversity of student populations. Learner-centered feedback, a robust approach to effective feedback that tailors to individual student needs, encompasses three key dimensions—Future Impact, Sensemaking, and Agency, which collectively include eight specific components, thereby enhancing its relevance and impact in the learning process. However, providing consistent and effective learner-centered feedback at scale is challenging for educators. This study addresses this challenge by automating the analysis of feedback content to promote effective learner-...

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AI ethics education: A systematic literature review
Lucas J. Wiese, Indira Patil, Daniel S. Schiff (2025)
Computers & Education: Artificial Intelligence 8
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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial ética alfabetización en IA

Resumen:

Texto completo

The potential of AI technology to transform human life, well-being, and daily work is faced with numerous risks and challenges yet to be fully accounted for. However, the complexity of AI ethics makes it hard to pin down what to teach, how to teach it, and how to assess its effectiveness. Drawing on an educational perspective, this paper presents a systematic literature review and qualitative analysis of the early years of AI ethics education as a formalized field to analyze whether its future trajectory is aligned with educational best practices. Our review highlights core challenges in AI ethics education and the content, assessment, and pedagogy used in real interventions over recent...

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Developing a gamified AI-enabled online learning application to improve students’ perception of university physics
Da Yang Tan, Chin Wei Cheah (2021)
Computers & Education: Artificial Intelligence 2
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Tipo: artículo

Temas: inteligencia artificial gamificación educación superior

Resumen:

Texto completo

This article discusses the current progress of the on-going design efforts in creating an AI-enabled gamified web-based online learning application in the university introductory physics courses. The application aims to cater to the learning needs of students with diversity of the background, particularly students with little or weak background. The overall design architecture and principles are discussed, focusing on the rationale and design of the gamified elements that have been incorporated within the application, namely: (i) incremental difficulties, (ii) points and streaks, (iii) leaderboard, and (iv) gamified and animated user interface. Particularly, the gamified elements are...

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Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy
Jane Southworth, Kati Migliaccio, Joe Glover (2023)
Computers & Education: Artificial Intelligence 4
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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial alfabetización en IA diseño curricular

Resumen:

Texto completo en HTML

Artificial Intelligence (AI) is a ubiquitous concept and tool already found across society and an integral part of everyday life. As such, basic understanding and knowledge of AI should be a critical component of student education to foster successful global citizens. This position paper describes one possible path to address potential gaps in AI education and integrate AI across the curriculum at a traditional research university. The University of Florida (UF) is infusing AI across the curriculum and developing opportunities for student engagement within identified areas of AI literacy regardless of student discipline. The AI Across the Curriculum initiative being developed at UF...

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A personalized learning system-supported professional training model for teachers' TPACK development
Pawat Chaipidech, Niwat Srisawasdi, Tanachai Kajornmanee (2022)
Computers & Education: Artificial Intelligence 3
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial formación de profesores profesorado

Resumen:

Texto completo

In contrast to traditional teacher professional development (TPD), the importance of individualized professional learning and expert content delivery is increasingly focused on as a challenge to transform the TPD. This study investigated the effects of an andragogical design of TPD with an embedded personalized learning system on technological pedagogical and content knowledge (TPACK) of in-service teachers. One hundred sixty-one in-service science teachers from 92 secondary schools located Northeastern region of Thailand voluntarily participated in the proposed TPD program. Results indicated that the in-service teachers significantly improved their TPACK. These findings add to the limited...

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Artificial intelligence in the L2 classroom: Implications and challenges on ethics and equity in higher education: A 21st century Pandora's box
Deema Dakakni, Nehme Safa (2023)
Computers & Education: Artificial Intelligence 5
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial enseñanza/aprendizaje de lenguas ética

Resumen:

Texto completo

The purpose of this research was to investigate attitudes of both students and teachers concerning Artificial Intelligence (AI) tools in the L2 classroom. The study was a descriptive, qualitative, mixedmethods case study whose data were taken from a purposive, convenient sample at a private, English-speaking university during the Summer Semester 2023 in Beirut, Lebanon. Data collection primarily involved an online survey on Google forms which was given to a sample of 49 students taking a research-based English 202 course of which 46 were completed. Afterwards, six English teachers and six students were chosen based on their voluntary will to participate in individual interviews for the...

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Exploring the design of LLM-powered question generation for deaf and hard of hearing learners
Si Chen, Shuxu Huffman, Qingxiaoyang Zhu (2026)
Computers & Education: Artificial Intelligence 10
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial estudiantes con discapacidad grandes modelos de lenguaje

Resumen:

Texto completo

Deaf and Hard of Hearing (DHH) learners face unique learning challenges, often due to a lack of customized educational materials that address their specific needs. This study explores the potential of Large Language Models (LLMs) to generate personalized quiz questions to enhance the video-based learning experiences of DHH students. We iteratively designed, developed, and evaluated a prototype that combines LLMs to generate questions with the characteristics of the DHH learners in focus. The two unique question generation strategies include Visual Questions, which identify video segments where visual information might be misinterpreted, and Emotion Questions, which highlight moments where...

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A systematic review and meta-analysis of the effectiveness of Generative Artificial Intelligence (GenAI) on students’ motivation and engagement
Qi Xia, Weijia Li, Yiming Yang (2025)
Computers & Education: Artificial Intelligence 9
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial motivación educación superior

Resumen:

Texto completo

The rapid development of generative artificial intelligence (GenAI) technologies has revolutionized higher education, enhancing personalized learning and teaching practices. This study conducts a systematic review and meta-analysis to investigate the effects of GenAI on university students' motivation and engagement (cognitive, behavioural, emotional, and agency). By synthesizing experimental studies and applying association rule mining, the study (i) identifies significant positive impacts of GenAI on students' motivation and engagement across diverse educational settings. (ii) key moderating variables, such as subject category, learning strategy, and context of GenAI usage, are shown to...

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Towards contextual-based AI: A scoping review of artificial intelligence in X reality for personalized learning
Zifeng Liu, Serene Cheon, Austin Stanbury (2026)
Computers & Education: Artificial Intelligence 10
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial realidad virtual tecnología educativa

Resumen:

Texto completo

This systematic review synthesizes 54 peer-reviewed studies published between 2019 and 2025 that examine how artificial intelligence (AI) and extended reality (XR) technologies are integrated to support adaptive and personalized learning. The studies were analyzed across multiple dimensions, including learning contexts, AI applications, adaptive input parameters, software and hardware used, and evaluation methods. The findings indicate growing research interest in AI–XR integration, with the majority of studies focused on procedural training and STEM education. Across these studies, AI is frequently used in multifaceted roles, most notably as a provider of real-time adaptive feedback,...

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Beyond “painting in pink”: A critical case study of all-girls generative AI workshops in a European makerspace and implications for gender equity in computing
Qian Liu, Louise Archer, Meghna Nag Chowdhuri (2026)
Computers & Education: Artificial Intelligence 10
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial estudios de género inclusión y equidad

Resumen:

Texto completo

Equity-oriented uses of generative artificial intelligence (GenAI) remain largely underexplored. To address the persistent gender inequities in girls’ representation and participation in computing, we present a case study of an all-girls initiative incorporating two GenAI tools in a European makerspace. We analysed qualitative, multimodal data, including 15 interviews with girls, parents, and practitioners, four reflective sessions, two observation fieldnotes, and 44 GenAI-generated images. Harding’s (1986) multi-level framework and feminist pedagogy provide critical lenses through which to examine and discuss the practice and practitioners’ reflections. Stakeholders generally expressed...

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