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Showing 1 to 15 of 21 results Save | Export
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Ali Alshammari – Education and Information Technologies, 2024
In online education, it is widely recognized that interaction and engagement have an impact on students' academic performance. While previous research has extensively explored interactions between students, instructors, and content, there has been limited exploration of course design elements that promote the fourth type of interaction:…
Descriptors: Learning Analytics, Learning Management Systems, Academic Achievement, Correlation
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Nalbone, David P.; Ashoori, Minoo; Fasanya, Bankole K.; Pelter, Michael W.; Rengstorf, Adam – International Journal for the Scholarship of Teaching and Learning, 2023
Much discussion in higher education has focused upon predicting student learning, and how to identify students who may be at particular risk of failure. Little research has actually tackled that challenge, and research on the scholarship of teaching and learning (SoTL) in this areas is scarce; this study does so by measuring students across three…
Descriptors: College Students, Predictor Variables, Academic Achievement, Identification
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Hassan, Komal; Zaheer, Hira; Khalid, Sana – Pakistan Journal of Distance and Online Learning, 2021
This cross-sectional study investigated the relationship among online-learning, time management and self-anxiety of university students for the duration of COVID-19 pandemic. A sample of 250 university students was selected from Lahore College for Women University, University of Punjab, Government College University, University of Central Punjab…
Descriptors: Foreign Countries, COVID-19, Pandemics, Online Courses
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Li, Shuang; Wang, Shuang; Du, Junlei; Pei, Yu; Shen, Xinyi – Journal of Computer Assisted Learning, 2022
Background: Failure to effectively organize and manage learning time is an important factor influencing online learners' performance. Investigation of time-investment patterns for online learning will provide educators with useful knowledge of how learners engage in and regulate their online learning and support them in tailoring online course…
Descriptors: Online Courses, Time Management, Time Factors (Learning), Learning Strategies
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Landrum, Brittany – Online Learning, 2020
As online class offerings continue to proliferate and more students take at least one online class in college, more research is needed to explore factors that impact students' perceptions of their online classes. Past research has found a positive relationship between students' computer self-efficacy and their satisfaction with online learning,…
Descriptors: Electronic Learning, Online Courses, Self Efficacy, Self Management
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Johnson, Anna D.; Schochet, Owen N.; Castle, Sherri; Horm, Diane; Phillips, Deborah A. – AERA Open, 2022
Exposure to teachers and teaching-related activities is vital for young children's learning. When COVID-19 closed schools, teachers responded with a mix of live- and prerecorded lessons and one-on-one communication with students, which necessitated shifts in planning time. The current study identifies pre-COVID predictors of time teachers devoted…
Descriptors: Grade 1, Elementary School Teachers, COVID-19, Pandemics
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Lepp, Andrew; Barkley, Jacob E.; Karpinski, Aryn C.; Singh, Shweta – SAGE Open, 2019
This study compared college students' multitasking in online courses with their multitasking in face-to-face courses and explored the significance of potential predictors of multitasking in each setting. Students taking both online and face-to-face courses completed surveys assessing multitasking in each setting, self-efficacy for self-regulated…
Descriptors: College Students, Student Behavior, Time Management, Online Courses
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Rabin, Eyal; Henderikx, Maartje; Kalman, Yoram M.; Kalz, Marco – Australasian Journal of Educational Technology, 2020
Massive open online course (MOOC) participants face diverse barriers that prevent them from feeling satisfied with participating in online courses. This study identified those barriers and their predictors. Using pre- and post-questionnaires, MOOC participants reported several characteristics and their barriers to satisfaction during the course.…
Descriptors: Barriers, Student Satisfaction, Online Courses, Open Education
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Olive, David Monllao; Huynh, Du Q.; Reynolds, Mark; Dougiamas, Martin; Wiese, Damyon – IEEE Transactions on Learning Technologies, 2019
A significant amount of research effort has been put into finding variables that can identify students at risk based on activity records available in learning management systems (LMS). These variables often depend on the context, for example, the course structure, how the activities are assessed or whether the course is entirely online or a…
Descriptors: Prediction, Identification, At Risk Students, Online Courses
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Xu, Jianzhong; Du, Jianxia; Fan, Xitao – Educational Psychology, 2017
The present investigation examines models of factors influencing time management in online groupwork for Chinese undergraduates. Multilevel findings showed that time management was positively related to five individual-level variables, including online courses taken previously, learning-oriented reasons, arranging the environment, help-seeking and…
Descriptors: Undergraduate Students, Time Management, Online Courses, Influences
Stoltz, Bonnie K. – ProQuest LLC, 2019
The number of non-traditional, asynchronous, post-secondary online students enrolled in a business administration major has increased dramatically over the past decade. At the same time, attrition rates are rising in this population indicating that non-traditional students are not successful in their online experience. This quantitative,…
Descriptors: Nontraditional Students, Asynchronous Communication, College Students, Online Courses
Climer, Steven L. – ProQuest LLC, 2017
The purpose of this quantitative correlational study was to examine the relationships between a student's personality traits of grit (persistence, goal-setting, passion, tenacity, time management, goal achievement, and perseverance), a student's self-reported satisfaction in the course, and the final grade a student receives in an online course.…
Descriptors: Statistical Analysis, Predictor Variables, Online Courses, Suburban Schools
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Jo, Il-Hyun; Kim, Dongho; Yoon, Meehyun – Educational Technology & Society, 2015
This study describes the process of constructing proxy variables from recorded log data within a Learning Management System (LMS), which represents adult learners' time management strategies in an online course. Based on previous research, three variables of total login time, login frequency, and regularity of login interval were selected as…
Descriptors: Foreign Countries, Time Management, Adult Students, Integrated Learning Systems
Gaskill, Martonia C. – ProQuest LLC, 2014
Cheating has been an area of concern in educational institutions for decades, especially at the undergraduate level. A particular area of concern is the increasing reports of the rise of cheating behaviors and the perceived cheating potential in online learning. As online learning continues to grow and become an integral part of education,…
Descriptors: Cheating, Online Courses, Business Administration Education, Student Attitudes
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Dvorak, Tomas; Jia, Miaoqing – Journal of Learning Analytics, 2016
This study analyzes the relationship between students' online work habits and academic performance. We utilize data from logs recorded by a course management system (CMS) in two courses at a small liberal arts college in the U.S. Both courses required the completion of a large number of online assignments. We measure three aspects of students'…
Descriptors: Online Courses, Educational Technology, Study Habits, Academic Achievement
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