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Anil, Özgür; Batdi, Veli – Education and Information Technologies, 2023
The present research is an examination of Augmented Reality (AR) applications in Science Education using the Multi-complementary Approach (McA). This incorporates multiple analyses: i) Pre-complementary: meta-analysis and meta-thematic analysis, ii) Post-complementary: an experimental design with a pre- and post-test control group and iii)…
Descriptors: Computer Simulation, Science Education, Educational Technology, Physics
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Khaleel Al-Said; Nidal Amarin; Lyubov Krasnova – Education and Information Technologies, 2024
This study aims to determine how the use of virtual reality impacts physics students, their knowledge, and the quality of training. The study involved 116 students aged 17-19. The main purpose is to explore the effect that VR technology has on students' knowledge and motivation. As per usual, the students were divided into two research groups:…
Descriptors: Physics, Science Instruction, Computer Simulation, Student Motivation
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Almasri, Firas – Education and Information Technologies, 2022
With the increasing technology integration practices in education, the adoption of computer simulations to teach conceptual understanding of science concepts is widely accepted by educators across the globe. To understand the connections between learners' engagement and satisfaction with simulations for science learning and their learning styles,…
Descriptors: Computer Simulation, Science Instruction, Learner Engagement, Self Esteem
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Stavros A. Nikou – Education and Information Technologies, 2024
Thanks to the advancement of mobile technologies, Augmented Reality (AR) has become broadly accessible through mobile devices such as smartphones and tablets. Mobile Augmented Reality can benefit science education in a variety of ways. However, except from some sporadic experimental cases, it is rather rarely employed by teachers and has not yet…
Descriptors: Science Instruction, Student Teachers, Telecommunications, Handheld Devices
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Meng-Jun Chen; Hsiao-Ching She; Pei-Yi Tsai – Education and Information Technologies, 2024
Despite national curricula and instructional reforms calling for collaborative problem-solving skills (CPS), however, there is an absence of a theory-laden model showing how to effectively construct CPS for science learning. We therefore developed and validated a simulation-based CPS model that exploits its constructs, sequences, and causal…
Descriptors: Computer Simulation, Cooperative Learning, Problem Solving, Educational Change