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Showing 1 to 15 of 29 results Save | Export
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Karagiannopoulou, Evangelia; Milienos, Fotios S.; Kamtsios, Spiridon; Rentzios, Christos – Educational Psychology, 2020
The study aims at investigating students' learning/defence profiles. It also explores students' profiles during different years of study. Participants comprised of 425 undergraduates. They completed the 'Approaches to Study and Skills Inventory' and the 'Defense Style Questionnaire'. The students' academic achievement was measured through grade…
Descriptors: Cognitive Style, Profiles, Measures (Individuals), Study Habits
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Linderholm, Tracy; Dobson, John; Yarbrough, Mary Beth – Advances in Physiology Education, 2016
A testing-based learning strategy is one that relies on the act of recalling (i.e., testing) information after exposure, and interleaving is a strategy in which the learning materials are presented in a serial order (e.g., "texts 1, 2, 3, 1, 2, 3, 1, 2, 3") versus a blocked order (e.g., "texts 1, 1, 1, 2, 2, 2, 3, 3, 3").…
Descriptors: Learning Strategies, Statistical Analysis, Correlation, Multivariate Analysis
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Thomas, Christopher L.; Cassady, Jerrell C.; Finch, W. Holmes – Journal of Psychoeducational Assessment, 2018
The purpose of the current examination was to preliminarily suggest severity standards for the recently revised Cognitive Test Anxiety Scale-Second Edition (CTAS-2). Participants responded to the CTAS-2, Motivated Strategies for Learning Questionnaire (MSLQ), and FRIEDBEN Test Anxiety Scale. Using both latent class and cluster analyses, we were…
Descriptors: Cognitive Tests, Test Anxiety, Cutting Scores, Multivariate Analysis
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Mirriahi, Negin; Liaqat, Daniyal; Dawson, Shane; Gaševic, Dragan – Educational Technology Research and Development, 2016
This study explores the types of learning profiles that evolve from student use of video annotation software for reflective learning. The data traces from student use of the software were analysed across four undergraduate courses with differing instructional conditions. That is, the use of graded or non-graded self-reflective annotations. Using…
Descriptors: Video Technology, Computer Software, Reflection, Undergraduate Students
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Strunk, Kamden K.; Lane, Forrest C.; Mwavita, Mwarumba – Educational Psychology, 2018
Research in the field of time-related academic behaviour (i.e., procrastination and timely engagement) has traditionally been focused on more stable factors, such as personality. Recent research suggests there may be a motivational component to these behaviours. The present study examines whether time-related academic behaviour is stable across…
Descriptors: Time Management, Student Behavior, Student Motivation, Undergraduate Students
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McCardle, Lindsay; Hadwin, Allyson F. – Metacognition and Learning, 2015
As theory and research in self-regulated learning (SRL) advance, debate continues about how to measure SRL as strategic, fine-grained, dynamic adaptations learners make during and between study sessions. Recognizing learners' perceptions are critical to the strategic adaptations they make during studying, this research examined the unique…
Descriptors: Learning Strategies, Measurement Techniques, Questionnaires, Student Journals
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Valencia-Vallejo, Nilson; López-Vargas, Omar; Sanabria-Rodríguez, Luis – Journal of Educators Online, 2018
The present research studies the effects of motivational scaffolding that favor self-efficacy and improve learning achievement in students with different cognitive styles in the Field Dependence/Independence (FDI) dimension, when they interact in an e-learning environment on mathematics. The research has an experimental design with two groups and…
Descriptors: Scaffolding (Teaching Technique), Electronic Learning, Self Efficacy, Cognitive Style
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Gaševic, Dragan; Jovanovic, Jelena; Pardo, Abelardo; Dawson, Shane – Journal of Learning Analytics, 2017
The use of analytic methods for extracting learning strategies from trace data has attracted considerable attention in the literature. However, there is a paucity of research examining any association between learning strategies extracted from trace data and responses to well-established self-report instruments and performance scores. This paper…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Educational Research
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Montero Perez, Maribel; Peters, Elke; Desmet, Piet – Computer Assisted Language Learning, 2018
While most studies on L2 vocabulary learning through input have addressed learners' vocabulary uptake from written text, this study focuses on audio-visual input. In particular, we investigate the effects of enhancing video by (1) adding different types of L2 subtitling (i.e. no captioning, full captioning, keyword captioning, and glossed keyword…
Descriptors: Second Language Learning, Second Language Instruction, Vocabulary Development, Linguistic Input
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Grohs, Jacob R.; Knight, David B.; Young, Glenda D.; Soledad, Michelle M. – International Journal of Education in Mathematics, Science and Technology, 2018
Situated in the second year of an engineering curriculum, undergraduate engineering mechanics courses represent a significant barrier to persistence in engineering. This study seeks to inform and improve these educational environments by examining academic performance paths over time in a course and explore how students in each path compare in the…
Descriptors: Academic Achievement, Learning Strategies, Engineering Education, Course Content
Chasmar, Justine – ProQuest LLC, 2017
This dissertation presents multiple studies with the purpose of understanding the connections between undergraduate engineering students' motivations, specifically students' Future Time Perspectives (FTPs) and Self-Regulated Learning (SRL). FTP refers to the views students hold about the future and how their perceptions of current tasks are…
Descriptors: Undergraduate Students, Engineering Education, Student Motivation, Time Perspective
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Bozpolat, Ebru – Educational Sciences: Theory and Practice, 2016
The purpose of this study was to reveal whether the low, medium, and high level self-regulated learning strategies of third year students at the Education Faculty of Cumhuriyet University can be predicted by the variables of gender, academic self-efficacy, and general academic average. The study uses the Relational Screening Model. The dependent…
Descriptors: Learning Strategies, Self Efficacy, Foreign Countries, Gender Differences
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Goodboy, Alan K.; Bolkan, San; Baker, James P. – Communication Education, 2018
Guided by assumptions from the cognitive-affective theory of learning with media, we conducted a teaching experiment to corroborate past correlational research that suggested instructor misbehaviors, in the form of antagonism toward students, impede students' cognitive learning. Participants were 472 undergraduate students who were randomly…
Descriptors: Teacher Behavior, Undergraduate Students, Cognitive Processes, Learning Theories
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Vuk, Jasna; Morse, David T. – Research in the Schools, 2013
The purpose of this study was to compare high- and low-achieving undergraduate college students on selfefficacy, test anxiety, and self-reported test-taking ability. Eighty students from 2 sections of educational psychology course participated in the study; complete data were collected for 76 students. Before taking their first exam, students…
Descriptors: Self Efficacy, Test Anxiety, Test Wiseness, High Achievement
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Alt, Dorit – Australian Journal of Adult Learning, 2016
This study was aimed at assessing the relationships between college students' pre-entry factors, self-efficacy and motivation for learning, and the perceived constructivist learning in traditional lecture-based courses and seminars (SM). The study included 411 undergraduate third-year college students. Several scales were administered to the…
Descriptors: Constructivism (Learning), Teaching Methods, Seminars, Correlation
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