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Bea Mertens; Sven De Maeyer; Vincent Donche – European Journal of Psychology of Education, 2024
Research on learning strategies and learning motivation in different educational contexts has provided valuable insights, but in this field, low-educated adults remain an understudied population. This study addresses this gap by means of a person-oriented approach and seeks to investigate whether quantitatively and qualitatively different learner…
Descriptors: Profiles, Student Characteristics, Educational Attainment, Adults
Esnaashari, Shadi; Gardner, Lesley A.; Arthanari, Tiru S.; Rehm, Michael – Journal of Computer Assisted Learning, 2023
Background: It is vital to understand students' Self-Regulatory Learning (SRL) processes, especially in Blended Learning (BL), when students need to be more autonomous in their learning process. In studying SRL, most researchers have followed a variable-oriented approach. Moreover, little has been known about the unfolding process of students' SRL…
Descriptors: Metacognition, Student Attitudes, Learning Strategies, Questionnaires
Erika M. Nadile; Gregory Vaughan; Naomi L. B. Wernick – American Biology Teacher, 2024
Grades in introductory STEM courses can impact intrinsic motivation (IM) and self-efficacy (SE). We used an exploratory approach to examine trends in grades and how IM and SE impact students' grades. It is known that most first-generation (FG) college students are from underrepresented backgrounds (URM), and that these students are least likely to…
Descriptors: Introductory Courses, Biology, Science Instruction, First Generation College Students
Keskin, Sinan; Yurdugül, Halil – European Journal of Open, Distance and E-Learning, 2019
Today's educational institutions are expected to create learning opportunities independent of time and place, to offer easily accessible learning environments and interpersonal communication opportunities. Accordingly, higher education institutions develop strategies to meet these expectations through teaching strategies, such as e-learning,…
Descriptors: Preferences, Electronic Learning, Blended Learning, Learning Strategies
Bruso, Jackie L.; Stefaniak, Jill E. – TechTrends: Linking Research and Practice to Improve Learning, 2016
This study examined the potential of utilizing the Motivated Strategies for Learning Questionnaire (MSLQ) and the Online Strategies for Learning Questionnaire (OSLQ) as instruments in predicting academic success as measured by overall grade point average (GPA). These instruments were of particular interest because the MSLQ was designed to measure…
Descriptors: Learning Strategies, Questionnaires, Learning Motivation, Prediction
Hsieh, Tzu-Ling – Higher Education: The International Journal of Higher Education and Educational Planning, 2014
The purpose of this study is to understand predictors of different learning outcomes among various student background characteristics, types of learning motivation and engagement behaviors. 178 junior students were surveyed at a 4-year research university in Taiwan. The scales of motivation, engagement and perceived learning outcomes were adapted…
Descriptors: Foreign Countries, Learning Motivation, Learner Engagement, Prediction