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Engelschalk, Tobias; Steuer, Gabriele; Dresel, Markus – Educational Psychology, 2017
Effective regulation of motivation can be theoretically explained by both the extent of motivational regulation strategies used (quantity) and their optimal implementation (quality). Researchers have not yet analysed the significance of both aspects for learning success simultaneously. In the present study, 188 students were presented with…
Descriptors: College Students, Student Motivation, Motivation Techniques, Regression (Statistics)
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Aslim, Serap Tüfekçi; Kocabatmaz, Handan – International Journal of Curriculum and Instructional Studies, 2019
This study aims to reveal whether there is a meaningful difference between preservice teachers' self-efficacy levels and their tendencies towards lifelong learning and the relationship between them according to gender and grade. The sample of the study based on correlational survey model consisted of 242 preservice primary school teachers at Gazi…
Descriptors: Preservice Teachers, Self Efficacy, Lifelong Learning, Correlation
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Huang, Rui-Ting; Yu, Chung-Long – Australasian Journal of Educational Technology, 2019
Although there is a plethora of mobile learning studies, relatively little attention has been paid to the roles of self-management of learning and personal learning initiative on mobile English learning outcomes. Accordingly, the primary purpose of this study is not only to examine the links between perceived flexibility advantage, self-management…
Descriptors: Telecommunications, Handheld Devices, Second Language Learning, Second Language Instruction
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Matcha, Wannisa; Gasevic, Dragan; Uzir, Nora'ayu Ahmad; Jovanovic, Jelena; Pardo, Abelardo; Lim, Lisa; Maldonado-Mahauad, Jorge; Gentili, Sheridan; Perez-Sanagustin, Mar; Tsai, Yi-Shan – Journal of Learning Analytics, 2020
Generalizability of the value of methods based on learning analytics remains one of the big challenges in the field of learning analytics. One approach to testing generalizability of a method is to apply it consistently in different learning contexts. This study extends a previously published work by examining the generalizability of a learning…
Descriptors: Learning Analytics, Learning Strategies, Instructional Design, Delivery Systems
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Montgomery, Amanda P.; Mousavi, Amin; Carbonaro, Michael; Hayward, Denyse V.; Dunn, William – British Journal of Educational Technology, 2019
Blended learning (BL) is a popular e-Learning model in higher education that has the potential to take advantage of learning analytics (LA) to support student learning. This study utilized LA to investigate fourth-year undergraduates' (n = 157) use of self-regulated learning (SRL) within the online components of a previously unexamined BL…
Descriptors: Blended Learning, Educational Technology, Higher Education, Undergraduate Students
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Hagger, Martin S.; Hamilton, Kyra – British Journal of Educational Psychology, 2019
Background: Beyond ability, traits related to perseverance, such as grit and self-discipline, are associated with adaptive educational outcomes. Few studies have examined the independent effects of these traits on outcomes and the mechanisms involved. Aims: This study estimated parameters of a process model in which grit-perseverance of effort…
Descriptors: Science Education, Grades (Scholastic), Personality Traits, Predictor Variables
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Wills, Howard P.; Mason, Rose; Gregori, Emily; Veatch, Melissa – Elementary School Journal, 2019
The limitations and challenges of paraprofessional training are well documented. These issues are magnified by the increasing reliance on paraprofessionals to provide vital support for students with emotional and behavioral disorders (EBD). Despite evidence supporting self-monitoring for improving teacher and paraprofessional skills, there are…
Descriptors: Self Management, Positive Reinforcement, Paraprofessional School Personnel, Students with Disabilities
Meyer, Robert; Pier, Libby; Mader, Jordan; Christian, Michal; Rice, Andrew; Loeb, Susanna; Fricke, Hans; Hough, Heather – Policy Analysis for California Education, PACE, 2019
This brief applies value-added models to student surveys in the CORE Districts to explore whether social-emotional learning (SEL) surveys can be used to measure effective classroom-level supports for SEL. The authors find that classrooms differ in their effect on students' growth in self-reported SEL--even after accounting for school-level…
Descriptors: Social Development, Emotional Development, Correlation, Language Arts
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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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Yuen, Mantak; Datu, Jesus Alfonso D. – School Psychology International, 2021
Limited research has been conducted so far to explore how meaning in life can promote key academic and psychological benefits in a school context. The research reported here aimed to address this issue by assessing how meaning in life is associated with dimensions of connectedness, academic self-efficacy (Study 1) and personal self-efficacy (Study…
Descriptors: Life Satisfaction, Well Being, Parent Student Relationship, Teacher Student Relationship
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Baas, Diana; Vermeulen, Marjan; Castelijns, Jos; Martens, Rob; Segers, Mien – Assessment in Education: Principles, Policy & Practice, 2020
The power of portfolios in enhancing student motivation is frequently emphasised. Portfolios are conceptualised as a tool to implement Assessment for Learning (AfL) in classroom practice. However, the relation between portfolios and AfL on the one hand, and student motivation on the other hand, is complex and subject to many assumptions. This…
Descriptors: Portfolio Assessment, Portfolios (Background Materials), Student Motivation, Student Attitudes
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Dastjerdi, Negin Barat; Ahmed, Anjum – Australian Educational Computing, 2019
This study investigated the relationship between uses of virtual social networks, self-directed learning and critical thinking of students in developing countries, a comparative study between students at the University of Esfahan in Iran and students of Aligarh Muslim University in India, enrolled in the academic year 2017-2018. Research was…
Descriptors: Correlation, Social Networks, Web 2.0 Technologies, Computer Use
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Anisa, Larasati; Suganda, Lingga Agustina; Jaya, Hariswan Putera – Indonesian Journal of English Language Teaching and Applied Linguistics, 2019
This study was carried out to determine the correlation between the social-emotional competence of the English teachers and the English learning motivation of their students. The sample was 111 students of secondary school. This study provides not only the correlation but also the survey results of teachers' social-emotional competence and…
Descriptors: Emotional Intelligence, Social Cognition, Self Management, Interpersonal Competence
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Bradley, Rachel L.; Browne, Blaine L.; Kelley, Heather M. – College Student Journal, 2017
This paper examined self-efficacy and self-regulatory skills and their influence on achievement in an online learning environment. This study utilized the Online Academic Success Indicators Scale (OASIS). The results of the scale were compared to previous tests measuring the predictive nature of self-efficacy and self-regulatory skills on academic…
Descriptors: Self Efficacy, Electronic Learning, Online Courses, Undergraduate Students
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Hughes, Christopher; Costley, Jamie; Lange, Christopher – Interactive Technology and Smart Education, 2018
Purpose: The paper aims to examine the effect of levels of self-regulated effort (SRE) and levels of cognitive load on the watching and completing of video lectures used as the main source of instruction in online learning environments. Design/methodology/approach: A survey provided data on the students' engagement with video lectures, their level…
Descriptors: Self Management, Difficulty Level, Video Technology, Lecture Method
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