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Glazier, Rebecca A.; Harris, Heidi Skurat – International Review of Research in Open and Distributed Learning, 2021
Post-COVID-19, many, if not most, college and university instructors teach both online and face-to-face, and, given that online courses historically have higher attrition rates, designing and facilitating effective online courses is key to student retention. Students need online and on-campus courses that are well designed and facilitated, but…
Descriptors: Student Satisfaction, Undergraduate Students, Online Courses, Preferences
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Anderson, Talea; Cuttler, Carrie – International Review of Research in Open and Distributed Learning, 2020
As open textbook initiatives are on the rise, a burgeoning literature has begun exploring student perceptions of openly licensed textbooks used in higher education. Most of this research has lacked consideration of potential differences in the perceptions of online and on-campus students and has failed to include a control group of students using…
Descriptors: Textbooks, Costs, Shared Resources and Services, Online Courses
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Ouyang, Fan; Li, Xu; Sun, Dan; Jiao, Pengcheng; Yao, Jiajia – International Review of Research in Open and Distributed Learning, 2020
The development of massive open online courses (MOOCs) has proceeded through three generations, and in all three, online discussions have been considered a critical component. Although discussions in MOOCs have the potential to promote learning, instructors have faced challenges facilitating learners' knowledge inquiry, construction, and…
Descriptors: Discussion Groups, Student Attitudes, Preferences, Online Courses
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Zhang, Qing; Bonafini, Fernanda Cesar; Lockee, Barbara B.; Jablokow, Kathryn W.; Hu, Xiaoyong – International Review of Research in Open and Distributed Learning, 2019
This paper investigates the degree to which different variables affect the completion of a Massive Open Online Course (MOOC). Data on those variables, such as age, gender, English proficiency, education level, and motivation for course enrollment were first collected through a pre-course survey. Next, course completion records were collected via…
Descriptors: Demography, Student Motivation, Predictor Variables, Online Courses
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Hew, Khe Foon; Qiao, Chen; Tang, Ying – International Review of Research in Open and Distributed Learning, 2018
Although massive open online courses (MOOCs) have attracted much worldwide attention, scholars still understand little about the specific elements that students find engaging in these large open courses. This study offers a new original contribution by using a machine learning classifier to analyze 24,612 reflective sentences posted by 5,884…
Descriptors: Learner Engagement, Large Group Instruction, Online Courses, Man Machine Systems
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Fidaldo, Patricia; Thormann, Joan – International Review of Research in Open and Distributed Learning, 2017
This research was conducted to explore whether students enrolled in graduate level courses found some Universal Design for Learning (UDL) strategies useful and if they actually used them. The strategies we investigated were presenting course information in alternative formats including PowerPoints with voiceover, screencasts, and videos as an…
Descriptors: Graduate Students, Online Courses, Preferences, Delivery Systems
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Koper, Rob – International Review of Research in Open and Distributed Learning, 2015
How do (potential) students differ in their preferences for the organization of online and distance courses and programs, can these differences be grouped into preference profiles, and are there any associations between these profiles and variables, such as achievement and dropout, that are relevant for the promotion and design of online and…
Descriptors: Foreign Countries, Electronic Learning, Distance Education, Online Courses
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Rohr, Linda E.; Costello, Jane; Hawkins, Thomas – International Review of Research in Open and Distributed Learning, 2015
While the use of Twitter for communication and assessment activities in online courses is not new, it has not been without its challenges. This is increasingly true of high enrolment courses. The use of a Twitter Evaluation application which leverages a Learning Management System's (LMS's) application programming interface (API) provides a…
Descriptors: Design Preferences, Technology Integration, Curriculum Design, Online Courses
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Lee, Joohi; Martin, Lesisa – International Review of Research in Open and Distributed Learning, 2017
One of the goals of teacher education is to prepare our citizens to communicate in a variety of ways. In our present society, communication using digital media has become essential. Although online discussions are a common component of many online courses, engaging students in online discussions has been a challenge. This study queried 86…
Descriptors: Teacher Education Programs, Student Attitudes, Science Teachers, Mathematics Teachers
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Tüzün, Hakan; Çinar, Murat – International Review of Research in Open and Distributed Learning, 2016
This study shared unique design experiences by examining the process of transferring residential courses to the Web, and proposed a design model for individuals who want to transfer their courses into this environment. The formative research method was used in the study, and two project teams' processes of putting courses, which were being taught…
Descriptors: Electronic Publishing, Production Techniques, Guidelines, Design Preferences