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Yang-Hsin Fan; Tzung-Jin Lin – Journal of Educational Computing Research, 2025
Extant literature has preliminarily confirmed the potential benefits of holographic projections for educational purposes. Yet, students' experiences of learning by holographic projection have rarely been addressed. The main purpose of this study was therefore to explore students' conceptions of and approaches to learning by holographic projection.…
Descriptors: Foreign Countries, College Students, Astronomy, Lunar Research
Ruzhang Cheng – Journal of Educational Computing Research, 2025
This research examines the impact of online help-seeking strategies--both adaptive and peer-based--on promoting self-regulated and collaborative learning skills, as well as language learning outcomes, among Chinese EFL learners in computer-assisted language learning (CALL) environments. Employing a mixed-methods approach, the study triangulates…
Descriptors: Help Seeking, English (Second Language), Second Language Learning, Electronic Learning
Gang Zhao; Lijun Yang; Biling Hu; Jing Wang – Journal of Educational Computing Research, 2025
Human-computer collaboration is an effective way to learn programming courses. However, most existing human-computer collaborative programming learning is supported by traditional computers with a relatively low level of personalized interaction, which greatly limits the efficiency of students' efficiency of programming learning and development of…
Descriptors: Artificial Intelligence, Man Machine Systems, Programming, Learning Strategies
Kyungbin Kwon; Thomas A. Brush; Keunjae Kim; Minhwi Seo – Journal of Educational Computing Research, 2025
This study examined the effects of embodied learning experiences on students' understanding of computational thinking (CT) concepts and their ability to solve CT problems. In a mixed-reality learning environment, students mapped CT concepts, such as sequencing and loops, onto their bodily movements. These movements were later applied to robot…
Descriptors: Thinking Skills, Computer Science Education, Robotics, Programming
Lijuan Feng – Journal of Educational Computing Research, 2025
This study investigates the impact of AI-assisted language learning (AIAL) strategies on cognitive load and learning outcomes in the context of language acquisition. Specifically, the study explores three distinct AIAL strategies: personalized feedback and adaptive learning, interactive exercises with speech recognition, and intelligent tutoring…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Learning, Second Language Instruction

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