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Pachlhofer, Keith A. – ProQuest LLC, 2017
This study used the Motivated Strategies for Learning Questionnaire in modularized courses at three institutions across the nation (N = 189), and multiple regression was completed to investigate five categories of student motivation that predicted academic success and course completion. The overall multiple regression analysis was significant and…
Descriptors: Undergraduate Students, Mathematics Instruction, Learning Strategies, Questionnaires
Lee, Jumi; Turner, Jeannine – Asia-Pacific Journal of Teacher Education, 2017
This study investigated the influence of pre-service teachers' (n = 142) perceived endogenous/exogenous instrumentality, goal commitment, and intrinsic/extrinsic motivation on their use of self-regulation strategies (effort regulation, management of time and study environment) for their teacher-education courses. Data were drawn from a customised…
Descriptors: Preservice Teachers, Student Motivation, Preservice Teacher Education, Multiple Regression Analysis
Alnafea, Tahany; Curtis, David D. – Issues in Educational Research, 2017
Much of the research on self-regulation has investigated the influence of school settings. However, fewer studies have concentrated on the home environment and its influence on student's academic behaviour in school. The present research investigates the influence of mothers' parenting styles on students' self-regulated learning behaviours in…
Descriptors: Metacognition, Elementary School Students, Self Efficacy, Family Environment
Cavanagh, Andrew J.; Chen, Xinnian; Bathgate, Meghan; Frederick, Jennifer; Hanauer, David I.; Graham, Mark J. – CBE - Life Sciences Education, 2018
There is growing consensus regarding the effectiveness of active-learning pedagogies in college science courses. Less is known about ways that student-level factors contribute to positive outcomes in these contexts. The present study examines students' (N = 245) trust in the instructor--defined as perceptions of their instructor's understanding,…
Descriptors: Active Learning, College Science, Trust (Psychology), Theory of Mind
Onivehu, Adams Ogirima; Adegunju, Adewale Kabir; Ohawuiro, Emilia Onyinyechi; Oyeniran, Juliana Bunmi – Acta Didactica Napocensia, 2018
This study investigated the relationship among Information Communication Technology utilization, self-regulated learning and academic performance of prospective teachers. The ex-post facto design (correlation method) was employed for the study. The research subjects were 580 prospective teachers who were drawn using multi-stage sampling technique…
Descriptors: Correlation, Information Technology, Information Utilization, Academic Achievement
Kucuk, Sevda – Journal of Technology and Teacher Education, 2018
This research investigated pre-service teachers' motivation, learning strategies, and engagement in a situated learning based educational technology course. In this study, correlational research design was used. The sample of this study was 65 second year science education pre-service teachers. The data were collected through two questionnaires.…
Descriptors: Preservice Teachers, Technological Literacy, Learning Strategies, Predictor Variables
Heller, Monica L.; Cassady, Jerrell C. – Journal of College Student Retention: Research, Theory & Practice, 2017
The current study explored the differential influences that behavioral learning strategies (i.e., cognitive-metacognitive, resource management), motivational profiles, and academic anxiety appraisals have on college-level learners in two unique learning contexts. Using multivariate analysis of variance and discriminant analysis, the study first…
Descriptors: Community Colleges, Two Year College Students, College Students, Universities
Costley, Jamie; Lange, Christopher – International Review of Research in Open and Distributed Learning, 2018
Semi-formal learning is used to describe learning that is directed towards the goals of a formal learning institution but outside of the learning structure of a specific class. Students studying online may form semi-formal groups to increase their knowledge of the content by interacting with other learners taking the same class. This study of…
Descriptors: Online Courses, Educational Technology, Technology Uses in Education, College Students
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
Pardo, Abelardo; Han, Feifei; Ellis, Robert A. – IEEE Transactions on Learning Technologies, 2017
Self-regulated learning theories are used to understand the reasons for different levels of university student academic performance. Similarly, learning analytics research proposes the combination of detailed data traces derived from technology-mediated tasks with a variety of algorithms to predict student academic performance. The former approach…
Descriptors: Student Centered Learning, Learning Theories, College Students, Academic Achievement
Sun, Jerry Chih-Yuan; Oh, Youn Joo; Seli, Helena; Jung, Matthew – Journal of At-Risk Issues, 2017
The purpose of this study was to explore the motivational characteristics and learning behaviors affecting at-risk college students. To explore how motivation and learning behaviors are related to academic achievement, the relationships between (a) self-efficacy; (b) learning and study strategy indicators; and (c) academic outcomes were assessed.…
Descriptors: At Risk Students, Outcomes of Education, College Freshmen, Prediction

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