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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
Sami Heikkinen; Tudor Cristea; Mohammed Saqr; Jonna Malmberg; Ad Kleingeld; Chris Snijders; Uwe Matzat; Matti Tedre – Smart Learning Environments, 2024
This study investigates the relationship between students' self-efficacy beliefs, goal-setting, and learning tactics in an online business course. Using sequence analysis and process mining techniques, we analyzed log data from 209 students to identify distinct learning tactics and their association with self-efficacy beliefs, inferred from…
Descriptors: College Students, Business Administration Education, Self Efficacy, Goal Orientation
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

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