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Hadi Rajabbeigi; June Schmieder-Ramirez; James Dellaneve; Fereshteh Amin – Journal of Comparative and International Higher Education, 2023
Although international students represent around 5% of the higher education population in the United States, research on psychological factors that result in this segment's academic success remains limited. This study sought to help fill this knowledge gap by exploring success factors that affect international students' academic progress.…
Descriptors: Foreign Students, College Students, Academic Achievement, Academic Persistence
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Rebecca Hey; Mark McDaniel; Flaviu A. Hodis – Metacognition and Learning, 2024
Being an effective learner is an important pillar supporting success in higher education and beyond. This research aimed to uncover the extent to which undergraduate students use a set of commonly researched learning strategies, as well as to understand how learning strategy usage relates to key self-regulation factors proposed in influential…
Descriptors: Undergraduate Students, Learning Processes, Independent Study, Learning Strategies
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Evan M. Pucillo; Gabriela Perez – Journal of Occupational Therapy Education, 2023
An understanding of student learning strategies is an important component of supporting academic success and avoiding difficulty. Prior inquiry has demonstrated certain learning strategies are more closely related to academic performance than others. The purpose of this study was to describe predictive relationships between the Metacognitive…
Descriptors: Occupational Therapy, Physical Therapy, Allied Health Occupations Education, Metacognition
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Lim, Sook Ling; Yeo, Kee Jiar – International Journal of Evaluation and Research in Education, 2021
The aim of this review was to identify the motivational constructs which were mostly associated with self-regulated learning and how these motivational constructs were related to self-regulated learning. There were 20 studies (N=8,759) met inclusion criteria for this review. In overall, the evidence of the included studies showed that motivational…
Descriptors: Motivation, Learning Strategies, Self Control, Literature Reviews
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Fokkens-Bruinsma, Marjon; Vermue, Carlien; Deinum, Jan-Folkert; van Rooij, Els – Assessment & Evaluation in Higher Education, 2021
A successful first year is of vital importance to academic achievement in higher education. How can we identify those students at risk at a very early stage, i.e. even before they have entered university? This study focuses on three pre-university factors, namely academic self-efficacy, self-regulated learning, in terms of autonomous motivation…
Descriptors: College Freshmen, Academic Achievement, Self Efficacy, Learning Strategies
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Abdi Zarrin, Sohrab; Gracia, Esther – Educational Sciences: Theory and Practice, 2020
Academic procrastination is a problem behavior with negative consequences for students. The extent of this phenomenon among students and the negative impact on their academic achievement requires more attention and research on this issue. The present study was conducted with the aim of investigating on the role of fear of failure and subscale of…
Descriptors: Foreign Countries, College Students, Student Behavior, Time Management
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Harding, Susan-Marie; English, Narelle; Nibali, Nives; Griffin, Patrick; Graham, Lorraine; Alom, Bm; Zhang, Zhonghua – Australian Journal of Education, 2019
Students who can regulate their own learning are proposed to gain the most out of education, yet research into the impact of self-regulated learning skills on performance shows mixed results. This study supports the link between self-regulated learning and performance, while providing evidence of grade- or age-related differences. Australian…
Descriptors: Learning Strategies, Self Control, Predictor Variables, Mathematics Achievement
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Zamora, Ángela; Súarez, José Manuel; Ardura, Diego – Journal of Educational Research, 2018
The authors' aim was to determine the extent to which error detection contributes to the explanation of a cognitive and motivational model of student performance in an assessment test. A total of 151 science students of secondary education participated in the investigation. Two causal models were developed using a structural equation analysis.…
Descriptors: Foreign Countries, Secondary School Students, Private Schools, Error Patterns
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Su, You; Zheng, Chunping; Liang, Jyh-Chong; Tsai, Chin-Chung – Australasian Journal of Educational Technology, 2018
This quantitative study investigated the relationship between learners' online self-regulation and their self-efficacy in the context of learning English as a foreign language (EFL). We collected data from two surveys, the online self-regulated English learning (OSEL) and the English language self-efficacy (ELSE), among 424 university students in…
Descriptors: Foreign Countries, Undergraduate Students, Second Language Learning, English (Second Language)
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Muenks, Katherine; Wigfield, Allan; Yang, Ji Seung; O'Neal, Colleen R. – Journal of Educational Psychology, 2017
Duckworth, Peterson, Matthews, and Kelly (2007) defined "grit" as one's passion and perseverance toward long-term goals. They proposed that it consists of 2 components: consistency of interests and perseverance of effort. In a high school and college student sample, we used a multidimensional item response theory approach to examine (a)…
Descriptors: High School Students, College Students, Metacognition, Item Response Theory
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Holland, Denise D.; Piper, Randy T. – Journal of Educational Computing Research, 2016
The technology integration education model is a 12 construct model that includes 8 primary constructs and 4 moderator constructs. By testing the relationships among two primary constructs (motivation and technological, pedagogical, and content knowledge competencies) and four moderator constructs (goals, feedback, task value, and self-regulation),…
Descriptors: Technology Integration, Preservice Teachers, Models, Objectives
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Sabourin, Jennifer L.; Shores, Lucy R.; Mott, Bradford W.; Lester, James C. – International Journal of Artificial Intelligence in Education, 2013
Self-regulated learning behaviors such as goal setting and monitoring have been found to be crucial to students' success in computer-based learning environments. Consequently, understanding students' self-regulated learning behavior has been the subject of increasing attention. Unfortunately, monitoring these behaviors in real-time has…
Descriptors: Learning Strategies, Learner Engagement, Computer Assisted Instruction, Educational Technology
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Rockinson-Szapkiw, Amanda J.; Wendt, Jillian; Lunde, Rebecca – American Journal of Distance Education, 2013
Because a majority of university students do not regularly read course textbooks, a study was conducted to determine if portable electronic textbooks (e-textbooks) would increase university student motivation to read by enhancing cognitive learning strategies and self-regulation of learning. The participants included 538 university students who…
Descriptors: Textbooks, College Students, Printed Materials, Electronic Publishing
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Cheng, Kun-Hung; Liang, Jyh-Chong; Tsai, Chin-Chung – Internet and Higher Education, 2013
Students' online academic help seeking (OAHS) can be facilitated by the aid of technology, but improvement in OAHS may also involve personal variables such as self-regulated learning (SRL), and "information commitments" (ICs), which are evaluative standards and strategies of online information. Accordingly, three instruments--an OAHS, an…
Descriptors: Help Seeking, Foreign Countries, Learning Strategies, Self Control
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Colthorpe, Kay; Zimbardi, Kirsten; Ainscough, Louise; Anderson, Stephen – Journal of Learning Analytics, 2015
It is well established that a student's capacity to regulate his or her own learning is a key determinant of academic success, suggesting that interventions targeting improvements in self-regulation will have a positive impact on academic performance. However, to evaluate the success of such interventions, the self-regulatory characteristics of…
Descriptors: Data Analysis, Data Collection, Educational Research, Self Control
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