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Showing 1 to 15 of 17 results Save | Export
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Weikang Lu; Chenghua Lin – Asia-Pacific Education Researcher, 2025
Based on the UTAUT model, many studies have analyzed the factors influencing the use of artificial intelligence by teachers and students, but the conclusions are not uniform. This study chose high quality studies and encoded them to do meta analysis. After heterogeneity testing, sensitivity analysis and publication bias test, it has been found…
Descriptors: Meta Analysis, Technology Integration, Computer Software, Artificial Intelligence
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Yiwen Jin; Lies Sercu – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence has been reshaping many industries, and education is no exception. When ChatGPT burst onto the scene in late 2022, it ignited conversations among educators and researchers alike. Despite growing interest and experimentation with this technology in university classrooms, the field has been missing a comprehensive…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Higher Education
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Moses Kumi Asamoah; Jessica Amarteifio – Discover Education, 2025
This systematic review explores the use of Intelligent Tutoring Systems (ITS) in fostering creativity, innovation, and personalized learning experiences among university students in Ghana. The review also examines the challenges associated with the implementation of ITS, along with the ethical considerations involved. Employing an interpretive…
Descriptors: Ethics, Barriers, Intelligent Tutoring Systems, Technology Integration
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Marcelo Bairral; Gilles Aldon – REDIMAT - Journal of Research in Mathematics Education, 2024
Eye-tracking (ET) method provides a promising channel for educational researchers to connect learning outcomes to cognitive processes. The main principle of ET is that our gaze and our focus of attention are connected. Due to the advent of digital technologies, eye tracking studies are increasingly growing in different fields and in mathematics…
Descriptors: Geometry, Mathematics Instruction, Validity, Mathematical Logic
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Edwin Gonzalo Vargas; Andrés Chiappe; Julio Durand – Journal of Social Studies Education Research, 2024
This review explores how artificial intelligence (AI henceforth) can reshape education through insights from situated learning literature. The objective was to critically examine opportunities and challenges of situated learning, and how AI could augment strengths while overcoming obstacles. A systematic review using the PRISMA method analyzed 60…
Descriptors: Artificial Intelligence, Situated Learning, Computer Software, Technology Uses in Education
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Zhaoyang Liu; Wenlan Zhang; Liangliang Hu – Innovations in Education and Teaching International, 2025
Virtual Reality (VR) is gradually integrating into classroom teaching, emerging as a new trend in educational development in the era of artificial intelligence. Desktop virtual reality stands out due to its lower cost and greater convenience. To elucidate the effectiveness of desktop virtual reality in learning, this paper employs a meta-analysis…
Descriptors: Computer Simulation, Meta Analysis, Teaching Methods, Instructional Effectiveness
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Wen Liu – Language Teaching Research Quarterly, 2024
Automated writing evaluation feedback (AWE) has become popular in writing classrooms. However, few studies have conducted a comprehensive review of the employment of AWE in learning areas. This study aimed to provide a systematic review of the current research on AWE feedback, including its validity, effects, and students' engagement with AWE…
Descriptors: Writing Instruction, Learner Engagement, Feedback (Response), Teaching Methods
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Hansol Lee; Jang Ho Lee – Language Learning & Technology, 2024
Artificial intelligence (AI) has considerably advanced the methods for individualizing language learning opportunities, such as assessing learning progress and recommending effective individual instruction. In the present study, we conducted a meta-analysis to synthesize recent empirical findings pertaining to the utilization of AI-guided language…
Descriptors: Artificial Intelligence, Teaching Methods, Learning Processes, Computer Software
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Abdul Aziz, Nurul Izzah; Husni, Husniza; Hashim, Nor Laily – International Journal of Information and Learning Technology, 2022
Purpose: The aim of this paper is to explore, analyse and summarise the potential tangible user interface (TUI) design features for dyslexics learning to read and spell. Design/methodology/approach: This study adopts a systematic literature review method through a manual search of published papers from 2011. This systematic literature review…
Descriptors: Dyslexia, Usability, Computer Software, Learning Processes
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Fombona-Pascual, Alba; Fombona, Javier; Vazquez-Cano, Esteban – Chemistry Education Research and Practice, 2022
Atomic/molecular visualization for human sight is usually generated by a software that reproduces a 3D reality on a 2D screen. Although Virtual Reality (VR) software was originally developed for the gaming industry, now it is used in academia for chemistry teaching. This work reviews the scientific literature on 3D visualization in stereoscopic…
Descriptors: Chemistry, Science Instruction, Scientific Research, Molecular Structure
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Cheng, Li; Pastore, Raymond; Ritzhaupt, Albert D. – Journal of Educational Computing Research, 2022
With the explosion of multimedia learning environments and the use of digital time-compression algorithms in common software and hardware, we need guidance on how to use this technology without sacrificing quality and learning outcomes. The purpose of the meta-analysis is to examine the existing empirical research literature to derive an overall…
Descriptors: Meta Analysis, Multimedia Instruction, Teaching Methods, Feedback (Response)
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Munfaridah, Nuril; Avraamidou, Lucy; Goedhart, Martin – EURASIA Journal of Mathematics, Science and Technology Education, 2021
Using multiple representations (MR) such as graphs, symbols, diagrams, and text, is central to teaching and learning in physics classrooms. While different studies have provided evidence of the positive impact of the use of MR on physics learning, a comprehensive overview of existing literature on the use of MR in physics education, especially at…
Descriptors: Undergraduate Students, Physics, Science Instruction, Teaching Methods
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Lee, Sangmin-Michelle – Computer Assisted Language Learning, 2022
As context plays a critical role in foreign language (FL) learning, context-aware technology is a promising tool for supporting FL learning. The present study examined studies published between 2000 and 2018 to understand the trends of technology and related research and the current issues with context-aware technology in FL learning. This review…
Descriptors: Research Reports, Second Language Learning, Second Language Instruction, Context Effect
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Irudayasamy, Julius; Uba, Sani Yantandu; Hankins, Carmel Antonette – English Language Teaching, 2021
With the progression of various mobile technologies, mobile applications have tremendously increased, especially during the Covid-19 pandemic, and such applications have been exploited much in teaching and learning. This study explores the educational potential of using mobile applications in English language teaching (ELT) or Mobile Assisted…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Computer Software
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Mohammad H. Al-khresheh – Language Teaching Research Quarterly, 2024
The integration of artificial intelligence (AI) into language instruction has presented new opportunities, with ChatGPT emerging as a promising tool for interactive and personalized learning. This systematic review examines the effectiveness, advantages, and drawbacks of the ChatGPT in English language teaching (ELT). To achieve this objective,…
Descriptors: Futures (of Society), Artificial Intelligence, Computer Software, Technology Uses in Education
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