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Winnifred Johnson-Carr – ProQuest LLC, 2023
Evidence suggests females' mathematics skills and abilities are not as well developed as males resulting in females being underrepresented in science, technology, engineering, and mathematics (STEM) career fields. In addition, self-directed learning readiness (SDLR) plays a role in academic performance, giving those with greater SDLR and…
Descriptors: Multiple Regression Analysis, Gender Differences, Learning Strategies, Algebra
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
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
Derr, Katja – Electronic Journal of e-Learning, 2017
E-learning has made course evaluation easier in many ways, as a multitude of learner data can be collected and related to student performance. At the same time, open learning environments can be a difficult field for evaluation, with a large variance in participants' knowledge level, learner behaviour, and commitment. In this study the…
Descriptors: Web Based Instruction, Electronic Learning, Mathematics Instruction, Course Evaluation
Choi, Beomkyu – Canadian Journal of Learning and Technology, 2016
The purpose of this study was to examine the relationships between learners' learning strategies and learning satisfaction in an asynchronous online learning environment. In an attempt to shed some light on how people learn in an online learning environment, one hundred and sixteen graduate students who were taking online learning courses…
Descriptors: Graduate Students, Learning Processes, Learning Strategies, Satisfaction
Lowinger, Robert Jay; Kuo, Ben C. H.; Song, Hyun-A.; Mahadevan, Lakshmi; Kim, Eunyoung; Liao, Kelly Yu-Hsin; Chang, Catherine Y.; Kwon, Kyong-Ah; Han, Suejung – Journal of Student Affairs Research and Practice, 2016
This study examined the relationships among acculturative stress, coping styles, self-efficacy, English language proficiency, and various demographic characteristics as predictors of procrastination behavior in Asian International students (N = 255) studying in the United States. Results of multiple logistic regression indicated that a collective…
Descriptors: Predictor Variables, Time Management, Asians, Foreign Students
Sahin, Elif Adibelli; Deniz, Hasan; Topçu, Mustafa Sami – International Journal of Environmental and Science Education, 2016
The present study investigated to what extent Turkish preservice elementary teachers' orientations to teaching science could be explained by their epistemological beliefs, conceptions of learning, and approaches to learning science. The sample included 157 Turkish preservice elementary teachers. The four instruments used in the study were School…
Descriptors: Preservice Teachers, Elementary Education, Epistemology, Beliefs
Lee, Hye-Jung; Lee, Jihyun; Makara, Kara A.; Fishman, Barry J.; Teasley, Stephanie D. – Studies in Higher Education, 2017
This study explores how the relationship between college students' learning strategies and their grade point average (GPA) differs across two culturally different institutions. Surveys of 621 students at a South Korean university and 824 students at a university in the USA were used to assess four types of learning strategies: motivation-related,…
Descriptors: Cross Cultural Studies, Grade Point Average, Learning Strategies, High Achievement
Simonds, Thomas A.; Brock, Barbara L. – Journal of Educators Online, 2014
In this study, two researchers explored student learning preferences in online courses. They used the scholarship of teaching and learning process as a research model, and embedded a web-based survey and online focus groups in the online courses they were teaching. After collecting data, the researchers conducted multiple logistic regression…
Descriptors: Learning Activities, Online Courses, Preferences, Age Differences
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
Shawer, Saad Fathy – TESOL Journal, 2016
This article examines the differences in language learning strategies (LLS) use between preservice teachers of English as a foreign language (EFL) and Arabic as a second language (ASL). It also examines the relationship between LLS use and language performance (academic achievement and four language skills) among ASL students. The study made use…
Descriptors: Language Skills, Academic Achievement, Learning Strategies, Preservice Teacher Education
Köseoglu, Yaman – Journal of Education and Practice, 2015
The issues of motivational inclinations, cognitive and meta-cognitive approaches and resource management abilities of university students are considered in predicting academic achievement. First-year university students filled in the Motivated Strategies Learning Questionnaire, completed the Implicit Theories of Intelligence Scale, answered the…
Descriptors: Foreign Countries, Self Efficacy, Academic Achievement, College Freshmen
Sistani, Mahsa; Hashemian, Mahmood – English Language Teaching, 2016
This study, first, examined whether there was any relationship between Iranian L2 learners' vocabulary learning strategies (VLSs), on the one hand, and their multiple intelligences (MI) types, on the other hand. In so doing, it explored the extent to which MI would predict L2 learners' VLSs. To these ends, 40 L2 learners from Isfahan University of…
Descriptors: Multiple Intelligences, Vocabulary Development, Correlation, Questionnaires
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
Madonna, Stephen, Jr.; Philpot, Vincent D. – Quarterly Review of Distance Education, 2013
This study examines motivational and learning strategies, and academic and student satisfaction, in college students. One hundred thirty-five college seniors were administered the Motivated Strategies for Learning Questionnaire (Pintrich, Smith, Garcia, & McKeachie, 1991), Academic Satisfaction Survey (Flores, 2007), and Online Course Survey…
Descriptors: College Seniors, Learning Motivation, Learning Strategies, Student Satisfaction