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Potsirin Limpinan; Thada Jantakoon; Somsuk Trisupakitti – Higher Education Studies, 2025
This study examines learners' acceptance of an immersive STEAM-based microlearning environment from the perspective of the Technology Acceptance Model (TAM), utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM) as the primary analytical approach. While immersive technologies such as virtual reality (VR) and augmented reality (AR)…
Descriptors: Art Education, STEM Education, Foreign Countries, Undergraduate Students
Xie, Jingrong; Basham, James D.; Marino, Matthew T.; Rice, Mary F. – Journal of Special Education Technology, 2018
Mobile technologies have shown great potential in various educational settings. Moreover, there is an emerging research base demonstrating how students view and interact with mobile devices to learn. As more of these technologies enter inclusive educational settings, an understanding of the extant research base for mobile learning (M-learning) and…
Descriptors: Electronic Learning, Elementary Secondary Education, Disabilities, Special Needs Students
Berkowitz, Ruth; Moore, Hadass; Astor, Ron Avi; Benbenishty, Rami – Review of Educational Research, 2017
Educational researchers and practitioners assert that supportive school and classroom climates can positively influence the academic outcomes of students, thus potentially reducing academic achievement gaps between students and schools of different socioeconomic status (SES) backgrounds. Nonetheless, scientific evidence establishing directional…
Descriptors: Academic Achievement, Educational Environment, Social Justice, Socioeconomic Background

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