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Motivated Strategies for…7
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Muljana, Pauline S.; Dabas, Chitra S.; Luo, Tian – Journal of Research on Technology in Education, 2023
Homework completion is associated with learning achievement, but students' challenges revolve around meeting deadlines and preventing procrastination. Promoting students' self-regulated learning (SRL) can overcome these challenges. We explored the role of SRL (forethought and learning strategies) on the timeliness of homework submissions performed…
Descriptors: Learning Strategies, Homework, Academic Achievement, Females
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Lars de Vreugd; Anouschka van Leeuwen; Renée Jansen; Marieke van der Schaaf – Journal of Learning Analytics, 2024
For university students, self-regulation of study behaviour is important. However, students are not always capable of effective self-regulation. Providing study behaviour information via a learning analytics dashboard (LAD) may support phases within self-regulated learning (SRL). However, it is unclear what information a LAD should provide, how to…
Descriptors: Learning Management Systems, Learning Analytics, Student Behavior, Behavior Patterns
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Zhang, Jiayi; Andres, Juliana Ma. Alexandra L.; Hutt, Stephen; Baker, Ryan S.; Ocumpaugh, Jaclyn; Nasiar, Nidhi; Mills, Caitlin; Brooks, Jamiella; Sethuaman, Sheela; Young, Tyron – Journal of Educational Data Mining, 2022
Self-regulated learning (SRL) is a critical component of mathematics problem-solving. Students skilled in SRL are more likely to effectively set goals, search for information, and direct their attention and cognitive process so that they align their efforts with their objectives. An influential framework for SRL, the SMART model (Winne, 2017),…
Descriptors: Problem Solving, Mathematics Instruction, Learning Management Systems, Learning Analytics
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van Halema, Nicolette; van Klaveren, Chris; Drachsler, Hendrik; Schmitz, Marcel; Cornelisz, Ilja – Frontline Learning Research, 2020
For decades, self-report instruments -- which rely heavily on students' perceptions and beliefs -- have been the dominant way of measuring motivation and strategy use. Event-based measures based on online trace data arguably has the potential to remove analytical restrictions of self-report measures. The purpose of this study is therefore to…
Descriptors: Independent Study, Learning Motivation, Learning Strategies, Student Behavior
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Cho, Moon-Heum; Yoo, Jin Soung – Interactive Learning Environments, 2017
Many researchers who are interested in studying students' online self-regulated learning (SRL) have heavily relied on self-reported surveys. Data mining is an alternative technique that can be used to discover students' SRL patterns from large data logs saved on a course management system. The purpose of this study was to identify students' online…
Descriptors: Online Courses, Self Management, Active Learning, Data Analysis
Polo, Blanca J. – ProQuest LLC, 2013
Much research has been done in regards to student programming errors, online education and studio-based learning (SBL) in computer science education. This study furthers this area by bringing together this knowledge and applying it to proactively help students overcome impasses caused by common student programming errors. This project proposes a…
Descriptors: Computer Science Education, Programming, Online Courses, Electronic Learning
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Mao, Jin; Peck, Kyle – Quarterly Review of Distance Education, 2013
This study investigated the effects of assessment strategies and self-regulated learning skills on students' learning and perceptions of assessment for learning. The results revealed no statistically significant difference in the immediate skill-based and cognitive learning outcomes, but peer assessment teams scored significantly higher than the…
Descriptors: Evaluation Methods, Online Courses, Student Evaluation, Learning Strategies