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Mariano Velamazán; Patricia Santos; J. Roberto Sánchez-Reina; Davinia Hernández-Leo – Education and Information Technologies, 2025
Most research on anonymity in computer-supported collaborative learning, which has reported both positive and negative outcomes, largely focuses on a fully anonymous login mode. In this context, further research is necessary to finetune the approach to the 'login mode' to optimise the potential benefits while mitigating the drawbacks. This study…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Privacy, Computer Mediated Communication
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Jeff Strain; Jim Marquardson; David Lee Gomillion – Information Systems Education Journal, 2025
Information systems students yearn for hands-on, active learning experiences that teach relevant skills. Delivering these experiences requires repeatable, secure, and scalable computing infrastructure. Unfortunately, many institutions struggle with the capital and operational costs of hosting in-house computing environments. Some educational…
Descriptors: Information Systems, Computer Science Education, Best Practices, Computer Uses in Education
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Maria Gretzky; Gideon Dishon – Learning, Media and Technology, 2025
The emergence of large language models (LLMs) that generate human-like texts has raised questions about the boundaries between human-authored and machine-generated outputs. This article examines how LLMs are re-shaping academic knowledge production through the emergence of the Algorithmic-Author. Drawing on Foucault's Author-Function and the…
Descriptors: Artificial Intelligence, Authors, Influence of Technology, Scholarship
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Ahmet Volkan Yüzüak; Emrah Higde; Zekiye Merve Öcal; Görkem Avci; Sinan Erten – International Journal of Assessment Tools in Education, 2025
In today's educational landscape, students have access to enriched learning environments through augmented and virtual reality (AR/VR) applications. Effective digital learning depends on identifying the key factors and learner attitudes that influence engagement and task performance. We focused more on preservice teachers' intentions to use AR/VR…
Descriptors: Computer Simulation, Computer Uses in Education, Preservice Teachers, Intention
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Paul Raine – TESL-EJ, 2025
Generative Pre-trained Transformers (GPT) have shown promise as More Knowledgeable Others(MKO) for English Language Learners (ELLs) by providing on-demand, contextualized feedback within the Zone of Proximal Development (ZPD). In this study, a web app collected spoken responses from 680 adult ELLs, automatically transcribed them and sent them to…
Descriptors: Artificial Intelligence, English (Second Language), Second Language Learning, Transcripts (Written Records)
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Hayley Henderson; Andy Phippen – Palgrave Macmillan, 2025
This book explores the online behavior and safeguarding of children with special education needs (SEN) in the digital world. Founded in research which evidences key stakeholder perspectives, this book informs and guides stakeholders towards sensibly balancing risk and opportunities online with an understanding that SEN children may face some…
Descriptors: Computer Use, Child Safety, Foreign Countries, Special Needs Students
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Fan Xu; Ana-Paula Correia – Journal of Computer Assisted Learning, 2025
Background: Computational thinking (CT) is an essential skill for preparing the younger generation to succeed in an AI-driven world, with pair programming emerging as a widely used approach to foster these skills. However, the role of individual factors and mutual engagement in shaping CT skills within pair programming remains underexplored,…
Descriptors: Computation, Thinking Skills, Learner Engagement, Middle School Students
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Lei Cai; Hua Tan; Min Huang – SAGE Open, 2025
Despite the consensus on the paramount importance of translation technology competence, its exact definition and constructs remain vague and inconsistent. Moreover, translation educators' dual identity both as a translator and an educator received insufficient attention. Therefore, drawing on the previous models of translation competence, we…
Descriptors: Foreign Countries, Technological Literacy, Translation, College Faculty
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Yu Gou; Luyan Teng; Haohong Nie – SAGE Open, 2025
The rapid development of the Internet has made search engines the preferred way for people to obtain information. As the world's largest Chinese search engine, Baidu Index developed by Baidu is an important data analysis platform. Similar to Google Trends, Baidu Index is a data tool based on data that provides the display frequency and related…
Descriptors: Bullying, Search Engines, Trend Analysis, Geographic Location
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Zien Ding; Ru-De Liu; Yi Ding; Xiantong Yang; Yi Yang – Education and Information Technologies, 2025
Academic cyberloafing, defined as the involvement in non-academic online activities during academic tasks, has emerged as a prevalent concern within higher education. While previous research has identified course-related factors that may influence academic cyberloafing, the specific relation between perceived course difficulty and academic…
Descriptors: Course Selection (Students), Difficulty Level, Computer Use, Time Management
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R. Ravichandran; Sonam Singh; P. Sasikala – Journal of Cybersecurity Education, Research and Practice, 2025
This study investigates the awareness and practices of cyber security among school teachers, exploring their understanding of cyber threats, online behaviours, and response mechanisms to cyber incidents. A structured questionnaire was administered to gather data on demographic information, cyber security training, online practices, and experiences…
Descriptors: Computer Security, Information Security, Teacher Characteristics, Training
Alan D. Koenig; John J. Lee; Eric Savitsky; Gabriele Nataneli; Karson Lindstrom; David L. Schriger; Tyler Savitsky – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2025
The urgent need to train military and civilian responders in combat casualty care during large-scale operations presents challenges due to the variability of learner preparedness and the resource demands of traditional curriculum development. This study examines the application of generative artificial intelligence (AI) in authoring and evaluating…
Descriptors: Artificial Intelligence, Computer Uses in Education, Medical Education, Multiple Choice Tests
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Yao Fu; Zhenjie Weng; Jiaxi Wang – International Journal of Artificial Intelligence in Education, 2025
With growing research attention in artificial intelligence in education (AIED), there is a profusion of systematic reviews that have investigated AI integration in a wide variety of educational contexts, including PreK-12 schools and higher education. Even though existing systematic reviews have explored effects of AI on education, few studies…
Descriptors: Artificial Intelligence, Computer Uses in Education, Elementary Secondary Education, Higher Education
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Darius Hennekeuser; Daryoush Daniel Vaziri; David Golchinfar; Dirk Schreiber; Gunnar Stevens – International Journal of Artificial Intelligence in Education, 2025
Large Language Models (LLMs) are rapidly gaining attention across the open-source and commercial fields, bolstered by their constantly growing capabilities. While such models have a vast array of applications, their integration into higher education--as supportive tools for lecturers--has been largely unexplored. Exploring this area entails…
Descriptors: Lecture Method, College Instruction, Higher Education, College Faculty
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Mona Esmat; Nahed Amasha – Education and Information Technologies, 2025
This research examines the integration of mobile applications with the Egyptian Knowledge Bank (EKB) to support the professional development of teachers, with a particular focus on computer science educators. Given the barriers teachers face in attending traditional training programs, such as time constraints, location, and costs, Mobile Learning…
Descriptors: Computer Uses in Education, Computer Oriented Programs, Teacher Effectiveness, Faculty Development
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