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Showing 1 to 15 of 32 results Save | Export
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Ka-Yan Fung; Kwong-Chiu Fung; Tze Leung Rick Lui; Kuen-Fung Sin; Lik-Hang Lee; Huamin Qu; Shenghui Song – IEEE Transactions on Learning Technologies, 2025
Mastering the visually complex characters of the Chinese language poses significant challenges for students. The situation is even worse in Hong Kong, where students with different backgrounds, including students with/without dyslexia and non-Chinese speaking (NCS) students, are placed in the same class. Interactive design has been proven…
Descriptors: Foreign Countries, Learning Motivation, Native Language Instruction, Mandarin Chinese
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Lung-Chun Chang; Cheng-Chi Yeh; Hon-Ren Lin – Education and Information Technologies, 2025
The COVID-19 pandemic and advances in technology have resulted in the emergence of online learning as a new trend in the educational sector. However, during online learning, if students cannot seek immediate assistance from teachers, the use of suitable teaching models and easy-to-understand teaching materials is crucial. To address problems…
Descriptors: Programming, Human Body, Recognition (Psychology), Visual Perception
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P. Spangenberger; N. Matthes; F. Kapp; L. Kruse; J. L. Plass – Educational Technology Research and Development, 2025
An increasing number of studies has observed that immersive virtual reality (iVR) technology using head-mounted displays (HMDs) can facilitate learning outcomes. However, most studies have been exploratory and were executed in laboratory settings instead of being implemented and orchestrated in authentic teaching settings. Furthermore, iVR design…
Descriptors: Computer Software, Technology Uses in Education, Authentic Learning, Learning Processes
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Hang Wang; Xiaorong Hou; Jiaxiu Liu; Xiaoyu Zhou; Mengyao Jiang; Jing Liao – Education and Information Technologies, 2025
The purpose of this study was to explore the factors of college students' learning intention when they use online learning platforms by using structural equation model (SEM), integration technology acceptance model (TAM) and planned behavior theory (TPB). With the help of this study, the development of distance online learning for college students…
Descriptors: Academic Achievement, Learning Motivation, College Students, Intention
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Yusuf Akyildiz – Journal of Educational Technology and Online Learning, 2025
Virtual reality (VR) presents an innovative and powerful approach to foreign language teaching, offering immersive and interactive environments that support vocabulary acquisition in engaging and meaningful ways. This study investigates the potential of VR using the self-developed application GermanVR, specifically designed to enhance vocabulary…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Second Language Instruction
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Jinhee Kim; Rita Detrick; Seongryeong Yu; Yukyeong Song; Linda Bol; Na Li – Education and Information Technologies, 2025
Supporting learners in achieving high-level socially shared regulation of learning (SSRL) in the online collaborative learning (OCL) context presents challenges that the utilization of artificial intelligence (AI) technologies may help solve. However, the effective uses of AI to support multifaceted areas (cognition, metacognition, and motivation)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Electronic Learning, Cooperative Learning
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Shasha Qi; Ali Derakhshan – Education and Information Technologies, 2025
This study explores the relationship between technology-based collaborative learning and learners' social regulation, academic emotions, and academic presentation. The researchers invited 695 English as a Foreign Language (EFL) students of different ages and learning backgrounds to participate in the research by questionnaire. The validated…
Descriptors: Technology Uses in Education, Cooperative Learning, Second Language Learning, English (Second Language)
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Shugang Li; Kexin Peng; Boyi Zhu; Fang Liu – Education and Information Technologies, 2025
In the digital age, online learning platforms utilizing advanced technologies such as artificial intelligence can provide more diverse and abundant educational resources compared to offline learning environments. However, online learners still face emotional expression and inertia trap problems. Knowledge co-creation virtual teachers (KCVTs) can…
Descriptors: Technology Uses in Education, Artificial Intelligence, Electronic Learning, Web Based Instruction
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Elisa Serrano-Ausejo – Digital Education Review, 2025
Immersive Virtual Reality (iVR) is increasingly being used in education for its ability to recreate vivid, realistic environments that enhance engagement and motivation. In history education, iVR is often considered when fostering emotional connection and empathy. However, its potential to support critical historical thinking, such as analysing…
Descriptors: Teacher Attitudes, Computer Simulation, Technology Uses in Education, History Instruction
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Minkai Wang; Di Zhang; Jingdong Zhu; Hanjie Gu – Journal of Educational Computing Research, 2025
Scientific knowledge is often abstract and challenging, making it difficult for students to apply these concepts effectively. Digital game-based learning (DGBL) offers an engaging and immersive approach, but the fixed resources and predetermined learning paths in most games limit its ability to adapt to individual learners' needs. Large language…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Games, Academic Achievement
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Jingjing Chen; Rao Muhammad Aqib Hassan; Shuai Sun; Yilin Mo; Dan Zhang – IEEE Transactions on Learning Technologies, 2025
The lightboard, an affordable and readily accessible tool, has become a promising approach for enhancing engagement in instructional videos. Despite its potential, previous studies have primarily highlighted the benefits of lightboard videos by evaluating learners' subjective experiences, with limited empirical research examining their impact on…
Descriptors: College Students, Mathematics Skills, Mathematics Achievement, Video Technology
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Jian-Hong Ye; Mengmeng Zhang; Weiguaju Nong; Li Wang; Xiantong Yang – Education and Information Technologies, 2025
ChatGPT, as an example of generative artificial intelligence, possesses high-level conversational and problem-solving capabilities supported by powerful computational models and big data. However, the powerful performance of ChatGPT might enhance learner dependency. Although it has not yet been confirmed, many teachers and scholars are also…
Descriptors: Artificial Intelligence, College Students, Problem Solving, Student Attitudes
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Christopher Keller; Gaby Walker; Francesca Amenduni; Alice Tela; Alberto Cattaneo – Education and Information Technologies, 2025
Technological advancements are rapidly transforming education, particularly immersive technologies, such as virtual reality (VR). Despite extensive research on VR's potential to enhance learning, its effectiveness in vocational education and training (VET) remains underexplored. This study evaluates the performance of VET students using a VR…
Descriptors: Computer Simulation, Technology Uses in Education, Career and Technical Education, Academic Achievement
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Pitambar Paudel – MEXTESOL Journal, 2025
Motivation plays a pivotal role in students' academic success and overall performance in the learning process. However, the abrupt shift from face-to-face instruction to online learning, due to the Covid-19 pandemic, affected EFL students' motivation. To address this issue, this study aimed to explore the factors that affected students' motivation…
Descriptors: Second Language Learning, English (Second Language), Learning Motivation, Electronic Learning
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Akbar Bahari; Feifei Han; Artur Strzelecki – Education and Information Technologies, 2025
Given the great potential of integrating Computer-Assisted Language Learning (CALL) and Artificial Intelligence-Assisted Language Learning (AIALL) to enhance language learning outcomes, there is a growing interest in exploring their combined effects. In this vein, the present study aimed to develop and test an interactive pedagogical model of…
Descriptors: Computer Assisted Instruction, Second Language Learning, Artificial Intelligence, Technology Uses in Education
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