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Showing 1 to 15 of 27 results Save | Export
Daniel Gonzalez Jr. – ProQuest LLC, 2024
The number of online courses that have been developed by faculty continues to increase in higher education. The purpose of this mixed-methods research study is to investigate the effects of online courses developed using the Quality Matters (QM) framework on self-regulated learning behaviors for students enrolled in online courses. The research…
Descriptors: Online Courses, Higher Education, Self Management, Student Behavior
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Shannon Bishop; Susan Troncoso Skidmore; Linda Reichwein Zientek – Community College Enterprise, 2025
This study examined community college students' mathematics and academic self-efficacy in synchronous live online and asynchronous traditional online learning environments. Additionally, students' self-efficacy as it related to students' feelings of choice and preference regarding course modality was examined. This study took place during the…
Descriptors: College Students, Self Efficacy, Mathematics Instruction, Online Courses
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Stark, Emily – Online Learning, 2019
The goal of this paper is to compare the motivations and learning strategies of online and face-to-face students, utilizing the Motivated Strategies for Learning Questionnaire (Pintrich et al., 1993). Prior research (Crede & Phillips, 2011) suggests that motivation variables play a larger role in predicting student success in online courses…
Descriptors: Student Motivation, Learning Strategies, Online Courses, Questionnaires
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Lee, Daeyeoul; Watson, Sunnie Lee; Watson, William R. – International Review of Research in Open and Distributed Learning, 2020
High dropout rates have been an unsolved issue in massive open online courses (MOOCs). As perceived effectiveness predicts learner retention in MOOCs, instructional design factors that affect it have been increasingly examined. However, self-regulated learning, self-efficacy, and task value have been underestimated from the perspective of…
Descriptors: Large Group Instruction, Online Courses, Self Management, Learning Strategies
Acevedo, Ricardo – ProQuest LLC, 2018
The study examined student utilization and application of learning strategies in college level online courses and the context was a Hispanic Serving Institution (HSI) in the Southwest. Even though online courses continue to grow at a steady pace, few research studies have taken the task to analyze the utilization of learning strategies and their…
Descriptors: College Students, Hispanic American Students, Learning Strategies, Online Courses
Xiu, Ying – ProQuest LLC, 2018
The flipped classroom, introduced by Jonathan Bergmann and Aaron Sams in 2008, has been a popular instructional strategy that promotes active learning. In a flipped classroom, the learning content is provided to students before class, and class time is dedicated to engaging students in student-centered activities that reinforce and integrate the…
Descriptors: Student Motivation, Student Attitudes, Learning, College Students
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Zhou, Jiahua; Zhang, Qiping – Education Sciences, 2021
COVID-19 affected various aspects of our life. Many college students were forced to take courses remotely. It was not clear how they adapted to this new environment and how their mental health was affected. The objective of this study is to understand college students' learning experience one year after the outbreak of COVID-19. An online survey…
Descriptors: College Students, On Campus Students, Low Income Students, Student Satisfaction
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Hughes, Christopher; Costley, Jamie; Lange, Christopher – Interactive Technology and Smart Education, 2018
Purpose: The paper aims to examine the effect of levels of self-regulated effort (SRE) and levels of cognitive load on the watching and completing of video lectures used as the main source of instruction in online learning environments. Design/methodology/approach: A survey provided data on the students' engagement with video lectures, their level…
Descriptors: Self Management, Difficulty Level, Video Technology, Lecture Method
Forjan, Nadya Enamorado – ProQuest LLC, 2017
Academic achievement and the constructs that have been recently proposed as relevant to help students organize their study habits independently and effectively when taking online courses is important in the evaluation of the quality of student performance in higher education. Evaluating learner differences and how these differences affect…
Descriptors: Predictor Variables, Academic Achievement, Online Courses, Psychology
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van Halema, Nicolette; van Klaveren, Chris; Drachsler, Hendrik; Schmitz, Marcel; Cornelisz, Ilja – Frontline Learning Research, 2020
For decades, self-report instruments -- which rely heavily on students' perceptions and beliefs -- have been the dominant way of measuring motivation and strategy use. Event-based measures based on online trace data arguably has the potential to remove analytical restrictions of self-report measures. The purpose of this study is therefore to…
Descriptors: Independent Study, Learning Motivation, Learning Strategies, Student Behavior
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Cakir, Ozlem; Karademir, Tugra; Erdogdu, Funda – Turkish Online Journal of Distance Education, 2018
The correlation between distance education motivation levels of students and their online experiences and satisfaction is studied in this paper; and the reasons of their satisfaction and dissatisfaction according to their motivation levels are described. In this study, 183 students, who were taking English and Turkish courses at Ankara University…
Descriptors: Foreign Countries, College Students, Distance Education, Student Motivation
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Lange, Chris; Costley, Jamie – International Review of Research in Open and Distributed Learning, 2017
Online instructors need to avoid unclear and confusing explanations of content, which can reduce the quality of learning. Extraneous load is reflective of poor instruction, in that it directs student effort towards processing information that does not contribute to learning. However, students may be able to manage poor instruction through effort…
Descriptors: Educational Technology, Technology Uses in Education, Online Courses, Student Surveys
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Cho, Moon-Heum; Yoo, Jin Soung – Interactive Learning Environments, 2017
Many researchers who are interested in studying students' online self-regulated learning (SRL) have heavily relied on self-reported surveys. Data mining is an alternative technique that can be used to discover students' SRL patterns from large data logs saved on a course management system. The purpose of this study was to identify students' online…
Descriptors: Online Courses, Self Management, Active Learning, Data Analysis
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Park, Sanghoon; Yun, Heoncheol – Distance Education, 2017
This study examines the relationships between students' academic levels, the use of motivational regulation strategies, and cognitive learning strategies. A total of 141 undergraduate and graduate students enrolled in online distance courses participated in the study. The findings show that students use different motivational regulation strategies…
Descriptors: Student Motivation, College Students, Online Courses, Distance Education
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Yang, Yan; Taylor, Jeff; Cao, Li – International Journal of E-Learning & Distance Education, 2016
This study investigates the utility of the new 3 × 2 achievement goal model in predicting online student test anxiety and help-seeking. Achievement goals refer to students' general aims for participating in learning and the standard by which they judge their achievement (Pintrich, 2000). According to Elliot and his colleagues (2011), there are six…
Descriptors: Prediction, Online Courses, Test Anxiety, Help Seeking
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