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Arpaci, Ibrahim – Turkish Online Journal of Distance Education, 2017
This study aims to investigate the role of self-efficacy in predicting students' use of distance education tools and learning management systems (LMSs). A total of 124 undergraduate students who enrolled in a course on Distance Education and selected using convenience sampling willingly participated in the study. The participants had little prior…
Descriptors: Distance Education, Integrated Learning Systems, Self Efficacy, Undergraduate Students
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Zhuang, Weiling; Xiao, Qian – Journal of Education for Business, 2018
The authors examine factors influencing student active learning and the ensuing class learning experience in the context of applying technologies in the classroom. The results suggest that the psychological benefit directly and indirectly influences class learning experience. In addition, the functional benefit only indirectly influences class…
Descriptors: Active Learning, Technology Uses in Education, Influence of Technology, Learning Experience
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Arenas-Gaitán, Jorge; Rondán-Cataluña, Francisco Javier; Ramírez-Correa, Patricio E. – Interactive Learning Environments, 2018
There is not a unique attitude towards the implementation of digital technology in educational sceneries. This paper aims to validate an adaptation of the DeLone and McLean information systems success model in the context of a learning management system. Furthermore, this study means to prove (1) the necessity of segmenting students in order to…
Descriptors: Integrated Learning Systems, Information Systems, Foreign Countries, Student Attitudes
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Hwang, Wu-Yuin; Kongcharoen, Chaknarin; Ghinea, Gheorghita – EURASIA Journal of Mathematics, Science & Technology Education, 2017
According to aptitude theory, the measures of aptitude include not only cognitive factors but also affective factors (i.e., emotions) and conative factors (i.e., motivation) that can influence students' learning achievement (LA). Therefore, this study employed structural equation modelling from experimental data of 96 college students to…
Descriptors: Academic Aptitude, Affective Behavior, Student Motivation, Emotional Response
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Lin, Lijia; Atkinson, Robert K.; Savenye, Wilhelmina C.; Nelson, Brian C. – Interactive Learning Environments, 2016
The purpose of this study was to investigate the impacts of visual cues and different types of self-explanation prompts on learning, cognitive load, and intrinsic motivation in an interactive multimedia environment that was designed to deliver a computer-based lesson about the human cardiovascular system. A total of 126 college students were…
Descriptors: Cues, Outcomes of Education, Multimedia Instruction, Cognitive Ability
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Griese, Emily R.; McMahon, Tracey R.; Kenyon, DenYelle Baete – Journal of Diversity in Higher Education, 2017
The majority of research examining Undergraduate Research Experiences focuses singularly on student-reported outcomes, often overlooking assessment of the mentor role in student learning and outcomes after these experiences. The goal of the current study was to examine the student-mentor dyad at the beginning and end of a 10-week summer research…
Descriptors: American Indian Students, Undergraduate Students, Models, Mentors
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Tai, Hung-Cheng – English Language Teaching, 2016
This study explored the effects of collaborative writing instruction on undergraduate nursing students' writing performance and self-efficacy beliefs within an online learning system. A single-group experimental study utilized two instruments, the NCEEC (National College Entrance Examination Center) writing grading criteria (the SRCT) and a…
Descriptors: Cooperative Learning, Electronic Learning, Foreign Countries, English (Second Language)
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Xie, Qin – Language Assessment Quarterly, 2013
This article reports an empirical study that examined the pattern of test preparation for College English Test Band 4 (CET4) and the differential effects of test preparation practices on its scores, thereby drawing implications for CET4 score validity. Data collection involved 1,003 test takers of CET4. A pretest was administered at the beginning…
Descriptors: Foreign Countries, Undergraduate Students, College English, Language Tests
Strunk, Kamden K. – ProQuest LLC, 2012
Scope and Method of Study: The purpose of this study was to examine the nature of time-related academic behavior (i.e., procrastination and timely engagement) in the academic context. Specifically, this study aimed to build a new model for understanding these behaviors in a motivational framework by using motivational orientation to frame these…
Descriptors: Student Behavior, Time Management, Learner Engagement, Learning Motivation
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Ning, Hoi Kwan; Downing, Kevin – Studies in Higher Education, 2010
This study investigated the effects of supplemental instruction, a peer-assisted learning approach, on students, learning competence and academic performance. The supplemental instruction intervention facilitated by senior students focused on developing students' use of study skills and enhancing their motivation and academic performance. Pre- and…
Descriptors: Educational Strategies, Undergraduate Students, Intervention, Structural Equation Models
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Bowman, Nicholas A.; Brandenberger, Jay W.; Hill, Patrick L.; Lapsley, Daniel K. – Journal of College Student Development, 2011
Many college administrators and researchers assert that diversity interactions are critical for preparing young adults for a diverse society, but very little research has examined the long-term impact of these experiences. This study examines a longitudinal sample of college students (n = 416) who were followed into their mid-30s. Structural…
Descriptors: College Students, Structural Equation Models, Graduation, Young Adults
Lee, Hyeon Woo – ProQuest LLC, 2008
Instructional designers need to understand the internal processes of learning, identify learners' cognitive difficulties with those processes, and create strategies to help learners overcome those difficulties. Generative learning theory, one conception of human learning about cognitive functioning and process, emphasizes that meaningful learning…
Descriptors: Metacognition, Feedback (Response), Learning Theories, Control Groups