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Tibi, Moanes H. – Online Learning, 2018
This study aims to investigate and analyze the attitudes and opinions of computer science students at two academic colleges of education with regards to the use of structured and unstructured discussion forums in computer science courses conducted entirely online. Fifty-two students participated in two online courses. The students in each course…
Descriptors: Online Courses, Student Attitudes, Comparative Analysis, Computer Science Education
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Almeda, Ma. Victoria; Zuech, Joshua; Utz, Chris; Higgins, Greg; Reynolds, Rob; Baker, Ryan S. – Online Learning, 2018
Online education continues to become an increasingly prominent part of higher education, but many students struggle in distance courses. For this reason, there has been considerable interest in predicting which students will succeed in online courses and which will receive poor grades or drop out prior to completion. Effective intervention depends…
Descriptors: Performance Factors, Online Courses, Electronic Learning, Models
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Fendler, Richard J.; Ruff, Craig; Shrikhande, Milind M. – Online Learning, 2018
Much of the e-education literature suggests that no significant difference exists in aggregate student learning outcomes between online and face-to-face instruction. In this study, an empirical model is developed to forecast the grade that individual students would have most likely earned in the alternate class setting. Students for whom the…
Descriptors: Outcomes of Education, Online Courses, Grades (Scholastic), Conventional Instruction
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Beach, Pamela; Willows, Dale – Online Learning, 2017
This study examined the effectiveness of three types of think aloud methods for understanding elementary teachers' cognitive processes as they used a professional development website. A methodology combining a retrospective think aloud procedure with screen capture technology (referred to as the virtual revisit) was compared with concurrent and…
Descriptors: Cognitive Processes, Online Courses, Faculty Development, Educational Technology
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Carver, Lin B.; Mukherjee, Keya; Lucio, Robert – Online Learning, 2017
Online education is rapidly becoming a significant method of course delivery in higher education. Consequently, instructors analyze student performance in an attempt to better scaffold student learning. Learning analytics can provide insight into online students' course behaviors. Archival data from 167 graduate level education students enrolled…
Descriptors: Graduate Students, Correlation, Grades (Scholastic), Time on Task
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Fraenza, Christy B. – Online Learning, 2016
High anxiety levels have been associated with high levels of the imposter phenomenon (IP), a negative experience of feeling like a fraud. This study was designed to explore IP among graduate students and to determine whether a difference exists between online graduate students and traditional graduate students. The theoretical foundation of this…
Descriptors: Social Influences, Anxiety, Self Concept, Graduate Students
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Reilly, Erin D.; Williams, Kyle M.; Stafford, Rose E.; Corliss, Stephanie B.; Walkow, Janet C.; Kidwell, Donna K. – Online Learning, 2016
This paper utilizes a case-study design to discuss global aspects of massive open online course (MOOC) assessment. Drawing from the literature on open-course models and linguistic gatekeeping in education, we position freeform assessment in MOOCs as both challenging and valuable, with an emphasis on current practices and student resources. We…
Descriptors: Online Courses, Case Studies, Higher Education, Electronic Learning
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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
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Griffiths, Rebecca; Mulhern, Christine; Spies, Richard; Chingos, Matthew – Online Learning, 2015
To address the paucity of data on the use of MOOCs in "traditional" postsecondary institutions, Ithaka S+R and the University System of Maryland studied the feasibility of repurposing MOOCs for use in hybrid, credit-bearing courses. In this paper we will describe the design of a large-scale study undertaken to examine the use of MOOCs in…
Descriptors: Online Courses, College Credits, Blended Learning, Statistical Analysis