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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
Wong Sing Yun; Sarimah Surianshah – International Journal of Technology in Education, 2024
The emergence of innovative artificial intelligence (AI) technologies, such as ChatGPT, which was just released in November 2022, has the potential to significantly transform the current state of education. Put another way, learning is changing as a result of chatbots' personalized assistance, group discussions and collaborations, evaluations of…
Descriptors: Bibliometrics, Computer Software, Artificial Intelligence, Technology Uses in Education
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
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
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
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
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
Allison Bayro; Bryan Havens; Heejin Jeong – IEEE Transactions on Learning Technologies, 2024
This work investigates the design and usability of a novel eXtended Reality (XR) Vest, which combines two viewpoints for demonstration-based training (DBT). Traditional modalities for DBT, such as prerecorded videos and live instruction, are minimally engaging and potentially hazardous resulting in low motivation and knowledge retention. To combat…
Descriptors: Simulated Environment, Computer Simulation, Demonstrations (Educational), Retention (Psychology)
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)
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
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
Fuhai An; Linjin Xi; Jingyi Yu – Education and Information Technologies, 2024
The current study assessed 495 middle school students in China using self-report questionnaires, to examine the multiple mediating effects of intrinsic motivation and learning engagement (vitality, dedication and absorption) in the relations between technology acceptance and students' self-regulated learning. The results indicated that technology…
Descriptors: Learner Engagement, Middle School Students, Metacognition, Learning Motivation
Carolien A. N. Knoop-van Campen; Joep van der Graaf; Anne Horvers; Rianne Kooi; Rick Dijkstra; Inge Molenaar – Journal of Computer Assisted Learning, 2024
Background: Even though monitoring and control enactment are key aspects of self-regulated learning (SRL), Adaptive learning technologies (ALTs) may reduce the need for learners to monitor and control their learning. Personalized dashboards are effective in supporting learners' monitoring and can potentially support control behaviour. Allowing…
Descriptors: Elementary School Students, Grade 5, Educational Technology, Technology Uses in Education
Ruo-Yu Li; Jerry Chih-Yuan Sun – Interactive Learning Environments, 2024
Due to the features of immersive learning and without the restrictions of time and place, virtual reality (VR) is commonly used in learning areas. For investigating functional design in the VR learning environment, previous literature proposed a series of theoretical models and strategies without considering the key factors for their development.…
Descriptors: Instructional Design, Computer Simulation, Expertise, Attitudes
Amanpreet Kaur; Kuljit Kaur Chahal – Education and Information Technologies, 2024
Research so far has overlooked the contribution of students' noncognitive factors to their performance in introductory programming in the context of personalized learning support. This study uses learning analytics to design and implement a Dashboard to understand the contribution of introductory programming students' learning motivation,…
Descriptors: Learning Analytics, Introductory Courses, Programming, Computer Science Education