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Gal Kaldes; Elizabeth L. Tighe; Qiwei He – Grantee Submission, 2024
Introduction: Despite the necessity for adults with lower literacy skills to undergo and succeed in high-stakes computer-administered assessments (e.g., GED, HiSET), there remains a gap in understanding their engagement with digital literacy assessments. Methods: This study analyzed process data, specifically time allocation data, from the Program…
Descriptors: Time Management, Adults, Literacy, Computer Assisted Testing
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Karen Koner; J. Si Millican; Abigayle Weaver-Gerdes; Amy Villanova – Contributions to Music Education, 2024
The purpose of this study was to examine the impact of short-term mindfulness practices on self-regulation of practice routines in high school instrumental students. We implemented mindfulness techniques prior to at-home practice routines for high school instrumental students (N = 117) over 16 weeks. Using the four-factor model of self-regulation…
Descriptors: High School Students, Musical Instruments, Metacognition, Music Education
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Wang, Hongxia; Geng, Jingyu; Liu, Ke; Wei, Xinyi; Wang, Jing; Lei, Li – Youth & Society, 2022
While there has been growing evidence that autonomy-supportive parenting is associated with the ability of Western adolescents to thrive, it is less clear this relationship exists in other cultural contexts. This study primarily explored the relationship between parental autonomy support (PAS) and Chinese adolescents' digital citizenship behavior…
Descriptors: Futures (of Society), Time Perspective, Adolescents, Behavior Patterns
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Li, Liang-Yi; Tsai, Chin-Chung – Educational Technology Research and Development, 2020
This study developed a learning system that allows teachers to edit assignments designed to teach students the text structure strategy through the use of four phases: instructing, modeling, practicing, and reflecting. A 7-week instructional experiment was conducted in which 84 12th-grade students learned the text structure strategy using this…
Descriptors: Student Behavior, Behavior Patterns, Learning Analytics, Text Structure