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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
Lardy, Laurent; Bressoux, Pascal; De Clercq, Mikael – European Journal of Psychology of Education, 2022
The massification and diversification of the student population who enters university has become a challenge for Higher Education institutions. A better consideration of this diversity could help to gain a greater understanding of students' achievement process, and this requires observing situations where this diversity is substantial. Thus, in…
Descriptors: Academic Achievement, College Freshmen, Student Characteristics, Student Diversity
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
Christopher L. Thomas; Staci M. Zolkoski – Journal of Research Initiatives, 2023
Prior research has noted differences in motivational, academic, and well-being factors between first-generation and continuing-education students. However, past investigations have primarily overlooked the interactive influence of protective and risk factors when comparing the characteristics of first-generation and continuing-education students.…
Descriptors: First Generation College Students, Continuing Education, Nontraditional Students, Student Motivation
Liu, W. C.; Wang, John C. K.; Kang, H. J.; Kee, Ying Hwa – Asia Pacific Journal of Education, 2021
This study aims to examine the motivational profiles of Malay students in Singapore-based self-regulated learning framework (Pintrich & De Groot, 1990) and self-determination theory (SDT; Deci & Ryan, 1985). The sample consisted of 740 secondary school students from 24 tuition centres for Malay students only. The students were from three…
Descriptors: Learning Strategies, Questionnaires, Student Motivation, Student Characteristics
Mutlu, Gülçin – Excellence in Education Journal, 2022
The first purpose of this study was to examine the associations between students' motivational characteristics and their language-specific grit for learning English. Second, this study aimed to investigate how students' language-specific grit and motivational characteristics related to their achievement in English. While examining the presence of…
Descriptors: Correlation, Personality Traits, Academic Achievement, Academic Persistence
Kingir, Sevgi; Gok, Bilge; Bozkir, Ahmet Selman – Journal of Baltic Science Education, 2020
Educational data mining is a developing research trend for exploring hidden patterns and natural associations among a set of student, teacher or school related variables. Discovering profiles of preservice science teachers using data mining methods would give important information about quality of teacher education programs and future science…
Descriptors: Data Analysis, Preservice Teachers, Science Teachers, Motivation
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
Inglés, Cándido J.; Martínez-Monteagudo, María C.; Pérez Fuentes, Maria C.; García-Fernández, José M.; Molero, María del Mar; Suriá-Martinez, Raquel; Gázquez, José J. – Educational Psychology, 2017
The aim of this study was to analyse the relationship among emotional intelligence (EI) and learning strategies, identifying different emotional intelligence profiles and determining possible statistically significant differences in learning strategies through the identified profiles. Thousand and seventy-one Spaniards secondary school students…
Descriptors: Emotional Intelligence, Learning Strategies, Secondary School Students, Questionnaires
Kim, Kyu Tae – Educational Sciences: Theory and Practice, 2019
This study explores the structural relationship among digital literacy, learning strategies, and core competencies among South Korean college students as well as the group differences between these variables depending on individual characteristics. Data analysis was conducted by correlation analysis, independent sample "t"-testing, and…
Descriptors: Technological Literacy, College Students, Structural Equation Models, Foreign Countries
Van Horne, Sam; Curran, Maura; Smith, Anna; VanBuren, John; Zahrieh, David; Larsen, Russell; Miller, Ross – Technology, Knowledge and Learning, 2018
Instructional technologists and faculty in post-secondary institutions have increasingly adopted learning analytics interventions such as dashboards that provide real-time feedback to students to support student' ability to regulate their learning. But analyses of the effectiveness of such interventions can be confounded by measures of students'…
Descriptors: Chemistry, Science Instruction, Learning Strategies, Questionnaires
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
Kabeel, Abeer Refaat; Eisa, Sahar Abd El-Mohsen Mosa – Journal of Education and Practice, 2016
Background: Part of the 21st century skills is critical thinking and learning approaches of students. A part of that resurgence can be attributable to several studies on critical thinking, logic, and thinking skills. Health care professionals are challenged by the complexities of the health care environment. The practice of nursing requires…
Descriptors: Critical Thinking, Thinking Skills, Nursing Students, Undergraduate Students
Pond, Jarrad W. T.; Chini, Jacquelyn J. – Physical Review Physics Education Research, 2017
In this study, we explore the strategic self-regulatory and motivational characteristics of students in studio-mode physics courses at three universities with varying student populations and varying levels of success in their studio-mode courses. We survey students using questions compiled from several existing questionnaires designed to measure…
Descriptors: Algebra, Physics, Profiles, Student Characteristics