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Nathan A. Hawk; Kui Xie; Azita Manouchehri – Journal of Urban Mathematics Education, 2025
In online virtual-based learning, combining more adaptive personal student characteristics with risk factors, the purpose of this study was to examine the relationship between student at-risk factors and mathematics achievement. Further, the study examined how personal student characteristics, which are sometimes amenable to change and…
Descriptors: Student Characteristics, Mathematics Achievement, Nontraditional Students, High School Students
Aristeidou, Maria; Cross, Simon – Open Learning, 2021
Despite a growing body of work on understanding how students perceived the impacts of the COVID-19 pandemic, the effects on existing distance learning universities have received less attention. This study aimed to understand changes in distance learning students' study habits (learning, assessment and social activities) and assess the factors…
Descriptors: COVID-19, Pandemics, Distance Education, School Closing
Luo, Heng; Yang, Tingting; Xue, Jin; Zuo, Mingzhang – British Journal of Educational Technology, 2019
The efficacy of the flipped classroom model largely depends on the specifications of its design and implementation, and one important specification to consider is student agency. With the purpose of prescribing the optimal level of student agency for the flipped classroom, this study conducted a repeated-measures experimental design to compare the…
Descriptors: Video Technology, Homework, Educational Technology, Technology Uses in Education
Owusu-Mensah, Francis – Education Quarterly Reviews, 2019
The study explored the effectiveness or otherwise of the in-built activities in the course manuals given to DE students of the University of Education in supporting their learning. Adopting the sequential mixed method design, 156 respondents were purposively selected from two study centres of the University. Data were collected using questionnaire…
Descriptors: Distance Education, Foreign Countries, College Students, Educational Technology
Gitinabard, Niki; Xu, Yiqiao; Heckman, Sarah; Barnes, Tiffany; Lynch, Collin F. – IEEE Transactions on Learning Technologies, 2019
Blended courses that mix in-person instruction with online platforms are increasingly common in secondary education. These platforms record a rich amount of data on students' study habits and social interactions. Prior research has shown that these metrics are correlated with students performance in face-to-face classes. However, predictive models…
Descriptors: Blended Learning, Educational Technology, Technology Uses in Education, Prediction
Albelbisi, Nour Awni; Yusop, Farrah Dina – Turkish Online Journal of Distance Education, 2019
The importance of self-regulation in a MOOC has been extensively discussed in research studies that provide evidence about the significant relationship between self-regulated learning and success in an e-learning environment. Learners with high self-regulated learning are more independent in regulating their learning and have a greater probability…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Puspitasari, Kristanti Ambar; Oetoyo, Boedhi – Turkish Online Journal of Distance Education, 2018
Learning in a higher education institution that applies an open and distance learning system requires the students to study as independent learners. This research is a survey research with the purpose of exploring the characteristics, habits and learning motivation of high-achiever students or those who obtained a high level of Grade Point Average…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Distance Education
Miyamoto, Yohsuke R.; Coleman, Cody A.; Williams, Joseph Jay; Whitehill, Jacob; Nesterko, Sergiy; Reich, Justin – Journal of Learning Analytics, 2015
A long history of laboratory and field experiments have demonstrated that dividing study time into many sessions is often superior to massing study time into few sessions, a phenomenon known as the "spacing effect." We use this well-established finding from the psychology literature as inspiration for investigating how students…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
Pardos, Zachary A. – Journal of Learning Analytics, 2015
In Miyamoto et al. (2015, this issue) the authors looked to substantiate the presence of the spacing effect, referenced from the psychology literature, in several MOOCs. Their secondary analyses constituted a robust, empirical finding on the correspondence between session distribution and certification but with only a coarse, analogous…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
Daza, Vanesa; Makriyannis, Nikolaos; Rovira Riera, Carme – Open Learning, 2013
First-year university students exhibit considerably different levels of proficiency, often lacking the necessary prerequisites to attend certain courses. This is especially true for mathematics courses. While motivation alone plays a role, by far the most significant challenge consists in harmonising the different (and often incompatible)…
Descriptors: College Freshmen, Mathematics Skills, Mathematics Instruction, College Mathematics
Doorn, David J.; Janssen, Susan; O'Brien, Maureen – International Journal for the Scholarship of Teaching and Learning, 2010
Over the past two decades there has been increasing movement toward the use of computers and the internet in conjunction with many courses across the educational spectrum. In addition to having consequences for course delivery, both inside and outside of the classroom, this movement has had an impact on the coursework that is required of students.…
Descriptors: Student Attitudes, Homework, Student Surveys, Study Habits
Babcock, Philip; Marks, Mindy – American Enterprise Institute for Public Policy Research, 2010
In 1961, the average full-time student at a four-year college in the United States studied about twenty-four hours per week, while his modern counterpart puts in only fourteen hours per week. Students now study less than half as much as universities claim to require. This dramatic decline in study time occurred for students from all demographic…
Descriptors: College Students, Study Habits, Time Factors (Learning), Academic Standards
Laptop Computers and Wireless University Campus Networks: Is Flexibility and Effectiveness Improved?
Eriksson, Miikka J.; Vuojarvi, Hanna; Ruokamo, Heli – Australasian Journal of Educational Technology, 2009
This study explores whether university students find that laptop computers and networks increase flexibility and effectiveness of studying. Special attention has been paid to non-traditional students who have extra commitments, such as taking care of children or term-time employment. Questionnaire data was collected from students who had the…
Descriptors: Student Attitudes, College Students, Study Habits, Questionnaires
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Holder, Bruce – Internet and Higher Education, 2007
Predictors of persistence previously found useful in distinguishing successful from unsuccessful distance learners were assembled in a 60-item survey. The survey was completed by 259 learners enrolled in associate's, bachelor's, or master's level distance learning courses in accounting, business administration, information services, criminal…
Descriptors: Distance Education, Self Efficacy, Academic Persistence, Student Motivation
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