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Greene, Jeffrey A.; Oswald, Christopher A.; Pomerantz, Jeffrey – American Educational Research Journal, 2015
Massive open online courses (MOOCs) have been heralded as an education revolution, but they suffer from low retention, calling into question their viability as a means of promoting education for all. In addition, numerous gaps remain in the research literature, particularly concerning predictors of retention and achievement. In this study, we used…
Descriptors: Online Courses, Predictor Variables, School Holding Power, Academic Achievement
Cavanaugh, Joseph K.; Jacquemin, Stephen J. – Online Learning, 2015
Comparisons of grade based learning outcomes between online and face-to-face course formats have become essential because the number of online courses, online programs and institutional student enrollments have seen rapid growth in recent years. Overall, online education is largely viewed by education professionals as being equivalent to…
Descriptors: Online Courses, Conventional Instruction, Comparative Analysis, Multiple Regression Analysis
Phillips, Linda S. – ProQuest LLC, 2013
Nontraditional-learner retention is a significant issue for colleges. Current research finds that 38.9% of nontraditional learners do not meet their educational goals. Further, there is a 20% increase in online dropout rates compared to the traditional classroom. The purpose of this study was to examine the factors that influence nontraditional…
Descriptors: Nontraditional Students, College Students, School Holding Power, Electronic Learning
Lint, Anna H. – Online Journal of Distance Learning Administration, 2013
This quantitative study evaluated and investigated the theoretical underpinnings of the Kember's (1995) student progress model that examines the direct or indirect effects of student persistence in online education by identifying the relationships between variables. The primary method of data collection in this study was a survey by exploring the…
Descriptors: Academic Persistence, Online Courses, College Students, Higher Education
Featro, Susan Mary – ProQuest LLC, 2012
The study gathered data on learning styles, technical comfort level, age, gender, and undergraduate or graduate status to determine if these are predictors of student satisfaction in online learning environments. Student satisfaction was considered in terms of learner-content interaction, learner-instructor interaction, learner-learner…
Descriptors: Interaction, Cognitive Style, Electronic Learning, Online Courses
Luo, Heng; Robinson, Anthony C.; Detwiler, Jim – Journal of Educators Online, 2014
This study investigates the effect of geographic distance on students' distance learning experience with the aim to provide tentative answers to a fundamental question--does geographic distance matter in distance education? Using educational outcome data collected from an online master's program in Geographic Information Systems, this study…
Descriptors: Distance Education, Geographic Location, Proximity, Masters Programs
Samruayruen, Buncha; Enriquez, Judith; Natakuatoong, Onjaree; Samruayruen, Kingkaew – Journal of Educational Computing Research, 2013
This study identified five effective self-regulated learning (SRL), investigated the correlation of demographic information and SRL, and measured significant predictor of prior experiences on SRL. Eighty-eight Thai learners participated in the SRL survey, which was adapted from the MSLQ. The findings indicated that Intrinsic Goal and Self-Efficacy…
Descriptors: Foreign Countries, Web Based Instruction, Electronic Learning, Internet
Slaybaugh, Chad E. – ProQuest LLC, 2012
In college settings today, learners have increasing availability of choice between participating in Traditional group attendance courses, and participating individually in those same courses asynchronously Online. This study investigated the relationship between learner's characteristics and their performance in an educational psychology course.…
Descriptors: Undergraduate Students, Preservice Teachers, Learning Strategies, Educational Psychology
Hood, Michelle – Australasian Journal of Educational Technology, 2013
This study examined predictors of students' intentions to access face-to-face (f2f) or online options for lectures and tutorials in a buffet-style blended learning 2nd-year psychology statistics course ("N" = 113; 84% female). Students were aged 18 to 51 years ("M" = 23.16; "SD"= 6.80). Practical and technological…
Descriptors: Blended Learning, Intention, Online Courses, Computer Software
Wise, Alyssa Friend; Marbouti, Farshid; Hsiao, Ying-Ting; Hausknecht, Simone – Journal of Educational Computing Research, 2012
Sixty-seven undergraduates taking either a Blended Business Course (BBC) or an Online Education Course (OEC) were surveyed about factors influencing their "listening" behaviors in asynchronous online course discussions. These are the ways they attend to the posts made by others: which posts they open, how they engage with open posts, and…
Descriptors: Foreign Countries, Online Courses, Web Based Instruction, Asynchronous Communication
Jinks, Susan Elizabeth – ProQuest LLC, 2009
The purpose of the study was to determine if the constructs of teaching presence and the sense of community function as predictors of perceived student learning in an online course. Each participating online student completed an online survey comprised of an informed consent, an item regarding their perception of learning (Richmond et al., 1987),…
Descriptors: Electronic Learning, Online Courses, Measures (Individuals), Multiple Regression Analysis

Thurmond, Veronica A.; Wambach, Karen; Conners, Helen R.; Frey, Bruce B. – American Journal of Distance Education, 2002
Discusses findings of an evaluation of university Web-based courses that used the Input-Environment-Outcome assessment model to control for student characteristics in order to decrease bias. Results of multiple regression analysis supported the view that students' satisfaction was influenced by the online environment and was not due to student…
Descriptors: Course Evaluation, Educational Environment, Higher Education, Multiple Regression Analysis