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David Antonio Rosas; Natalia Padilla-Zea; Daniel Burgos – Smart Learning Environments, 2025
This paper advances in the understanding of motivation in terms of flow in groups from a physiological perspective. We use wearable devices to monitor the heart rate variation during a set of sessions of face-to-face STEAM project-based learning. By using Action Research with mixed-methods design, we observed a set of 28 students in real-world…
Descriptors: Modeling (Psychology), Physiology, STEM Education, Art Education
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Jennifer A. Cardenas Castaneda; Pei-Chun Lin; Patrick C. K. Hung; Hua-Xu Zhong; Hao-An Tseng; Yung-Fa Huang; Rafiq Ahmad – Smart Learning Environments, 2025
Education in science, technology, engineering, and mathematics (STEM) is essential to achieving continued technological advancement. The most critical years for instilling knowledge are during childhood, and a strategic way to accomplish this is through playful materials. Therefore, there is a need to develop more inclusive solutions to achieve…
Descriptors: Instructional Design, STEM Education, Visual Impairments, Students with Disabilities
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Idit Adler; Scott Warren; Cathleen Norris; Elliot Soloway – Smart Learning Environments, 2025
Smart learning environments provide students with opportunities to engage in self-regulated learning (SRL). However, little research has examined how teachers leverage these opportunities. We employed a multiple-case study methodology to examine the SRL supporting instructional practices of five third-grade teachers as they implemented a science…
Descriptors: Elementary School Students, Elementary School Teachers, Grade 3, Independent Study