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Showing 1 to 15 of 24 results Save | Export
Daniel Gonzalez Jr. – ProQuest LLC, 2024
The number of online courses that have been developed by faculty continues to increase in higher education. The purpose of this mixed-methods research study is to investigate the effects of online courses developed using the Quality Matters (QM) framework on self-regulated learning behaviors for students enrolled in online courses. The research…
Descriptors: Online Courses, Higher Education, Self Management, Student Behavior
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Aldo Ramirez-Arellano – SAGE Open, 2024
Several investigations have focused on the relationship between personality and learning performance. However, the relationships among personality traits, motivation, emotional and behavioral engagement, and metacognitive-cognitive strategies remain unexplored. This research introduces a model based on a personality system set comprising…
Descriptors: Personality Traits, Student Motivation, Learner Engagement, Metacognition
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Langanani Rakhunwana; Angelique Kritzinger; Lynne A. Pilcher – Chemistry Education Research and Practice, 2025
During their first year of study at university, many students encounter challenges in developing learning strategies that align with success in the courses in which they are enrolled. The emergence of the COVID-19 pandemic heightened the challenges as universities were compelled to transition to online learning. Therefore, this study investigated…
Descriptors: Chemistry, Science Instruction, Online Courses, College Freshmen
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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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Casali, Nicole; Ghisi, Marta; Meneghetti, Chiara – Education Sciences, 2022
Little is known about the intraindividual dispositional factors related to cognitive, behavioral, and emotional academic learning outcomes under COVID-19. This study investigated (i) the associations of intraindividual factors, some related to studying (motivation to learn, self-regulated learning, and study resilience), others more general (soft…
Descriptors: Academic Achievement, Outcomes of Education, COVID-19, Pandemics
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Khalid, Hasna Abu – European Journal of Educational Sciences, 2019
Self-regulation is a life skill that benefits human development in general and can support building of resilience with which to survive and thrive through experiences of trauma, especially when impact of trauma has a chronic nature. Academic study provides an experience that requires exercise of self-regulation to attain success much as the need…
Descriptors: Self Management, Self Control, Resilience (Psychology), Trauma
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Durak, Hatice Yildiz – Journal of Educational Computing Research, 2020
The objective of this study is to construct a model which explains and predicts the relations of university students' cyberloafing behaviors with demographic and academic variables at computing courses where online social networking sites are utilized for education and is to review whether there is longitudinal effect on these relations in terms…
Descriptors: Educational Technology, Technology Uses in Education, Social Media, Student Behavior
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Ozkal, Nese – Cypriot Journal of Educational Sciences, 2019
This study investigated secondary school sixth, seventh and eighth graders' self-efficacy beliefs, engagement and disaffection in Math lessons and academic achievement in relation to learning Mathematics and Math performance. The study was conducted with the voluntary participation of 651 sixth, seventh and eighth graders attending secondary…
Descriptors: Mathematics Instruction, Mathematics Achievement, Grade 6, Grade 7
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Yamada, Masanori; Oi, Misato; Konomi, Shin'ichi – International Association for Development of the Information Society, 2017
This study investigated the relationships between self-regulated learning (SRL) awareness, time-management awareness, learning behaviors (report submission), and learning performance. Psychometric data and learning logs for both in-class and out-of-class activities were collected in the lecture course, and their relationships were analyzed using…
Descriptors: Independent Study, Time Management, Self Efficacy, Learning Strategies
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Folkestad, James; Pilgrim, Mary E.; Sencindiver, Ben; Harindranathan, Priya – Journal of Educational Technology, 2019
Many factors play a role in a students' learning experience, but students' course interaction behaviors are particularly important toward fostering success. Instructors build learning tools (such as videos, online quizzes, etc.) that provide students with the opportunity to extend their learning outside the classroom. These tools require students…
Descriptors: Calculus, Educational Technology, Introductory Courses, Mathematics Instruction
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Yilmaz, Ramazan; Yurdugül, Halil – Journal of Computing in Higher Education, 2018
The purpose of this study is to find out the level of cyberloafing behaviors of the students in information technologies (IT) classrooms; and to examine the relationship between cyberloafing behaviors and the psycho-social perceptions, attitudes and motivation for the courses and learning strategies. Correlational method was utilized; and…
Descriptors: Educational Technology, Technology Uses in Education, Student Behavior, Correlation
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Strunk, Kamden K.; Lane, Forrest C.; Mwavita, Mwarumba – Educational Psychology, 2018
Research in the field of time-related academic behaviour (i.e., procrastination and timely engagement) has traditionally been focused on more stable factors, such as personality. Recent research suggests there may be a motivational component to these behaviours. The present study examines whether time-related academic behaviour is stable across…
Descriptors: Time Management, Student Behavior, Student Motivation, Undergraduate Students
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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
Steven Dang; Michael Yudelson; Kenneth R. Koedinger – Grantee Submission, 2017
The current study introduces a model for measuring student diligence using online behaviors during intelligent tutoring system use. This model is validated using a full academic year dataset to test its predictive validity against long-term academic outcomes including end-of-year grades and total work completed by the end of the year. The model is…
Descriptors: Student Behavior, Intelligent Tutoring Systems, Educational Technology, Academic Achievement
Yamada, Masanori; Goda, Yoshiko; Matsuda, Takeshi; Kato, Hiroshi; Miyagawa, Hiroyuki – International Association for Development of the Information Society, 2015
This research aims to investigate the relationship among the awareness of self-regulated learning (SRL), procrastination, and learning behaviors in blended learning environment. One hundred seventy nine freshmen participated in this research, conducted in the blended learning style class using learning management system. Data collection was…
Descriptors: Blended Learning, Learning Strategies, Time Management, Student Behavior
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