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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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Nouf J. Aljohani – Computer Assisted Language Learning, 2025
This paper proposes an updated framework for the evaluation of the computer-assisted language learning (CALL) framework, further developed from Chapelle (2001) and González-Lloret and Ortega (2014). Based on a review of prominent previous CALL evaluation frameworks, an exploration of relevant literature in formal evaluation and my own first-hand…
Descriptors: Task Analysis, Second Language Learning, Second Language Instruction, Computer Assisted Instruction
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Paulina Haduong; Karen Brennan – Computer Science Education, 2025
Background and Context: Learning to create self-directed and personally authentic programming projects involves encountering challenges and learning to get unstuck. Objective: This article investigates how one U.S. fourth-grade classroom engaged in practices which emphasized community supports, in the context of the classroom's implementation and…
Descriptors: Grade 4, Computer Science Education, Instructional Design, Programming
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Yizhu Gao; Xiaoming Zhai; Min Li; Gyeonggeon Lee; Xiaoxiao Liu – Grantee Submission, 2025
The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially compromising…
Descriptors: Artificial Intelligence, Computer Software, Science Education, Integrity
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Keng-Chih Hsu; Neil E. Barrett; Gi-Zen Liu – Computer Assisted Language Learning, 2025
With the rise of augmented reality (AR) and context-aware ubiquitous learning (CAUL), pedagogical designers in computer assisted language learning are increasingly developing authentic English for Specific Purposes (ESP) learning environments. However, there has been little research regarding the development of evidence-based principles for…
Descriptors: Tourism, English for Special Purposes, Second Language Instruction, Second Language Learning