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Muhua Zhang; Chien-Yuan Su – Education and Information Technologies, 2025
Immersive virtual reality (IVR) is expected to create a greater sense of presence that might improve students' laboratory learning experiences. However, little research has verified the influence of presence on students' perceptions toward immersive laboratory learning. The current study, which is based on the expectation confirmation model,…
Descriptors: Adolescents, Adolescent Attitudes, Laboratory Training, Foreign Countries
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Zhicheng Dai; Yue Yang; Zengzhao Chen; Ling Wang; Liang Zhao; Xiaoliang Zhu; Junxia Xiong – Education and Information Technologies, 2025
Higher education is beginning to focus on how to effectively cultivate IoT engineers who possess both hard skills and soft skills. Therefore, from the perspective of activity theory and combining it with project-based learning, this study constructed a project-based learning framework based on activity theory and applied this framework to an IoT…
Descriptors: Active Learning, Student Projects, Teacher Effectiveness, Instructional Effectiveness
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Ni, Yuan; Deng, Teng; Li, Jing; Zhang, Jiaqi; Zhang, Chi – Education and Information Technologies, 2023
Under the rapid development of higher vocational colleges in China, design subject was receiving increasing number of students and confronting the necessity of improving teaching efficiency. Informational technology, regarded as an effective approach in many areas, was investigated for its impact on the design teaching efficiency and evaluated its…
Descriptors: Vocational Education, Foreign Countries, Educational Technology, Teacher Effectiveness
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Shuaizhen Jin; Zheng Zhong; Kunyan Li; Chen Kang – Education and Information Technologies, 2024
This study utilizes a comparative experimental research method to investigate the effect of the Predict, Observe, Explain, and Evaluate (POEE) learning strategy in an immersive virtual environment (IVE) on two types of learners with different levels of prior knowledge. One type referred to as Highly Experienced and Knowledgeable (HEK) learners,…
Descriptors: Active Learning, Inquiry, Prior Learning, Electronic Learning