Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 5 |
Descriptor
Source
International Review of… | 5 |
Author
Bonafini, Fernanda Cesar | 1 |
Díez-Arcón, Paz | 1 |
Fidaldo, Patricia | 1 |
Hew, Khe Foon | 1 |
Hu, Xiaoyong | 1 |
Jablokow, Kathryn W. | 1 |
Koper, Rob | 1 |
Lockee, Barbara B. | 1 |
Qiao, Chen | 1 |
Tang, Ying | 1 |
Thormann, Joan | 1 |
More ▼ |
Publication Type
Journal Articles | 5 |
Reports - Research | 5 |
Numerical/Quantitative Data | 1 |
Education Level
Higher Education | 4 |
Postsecondary Education | 3 |
Audience
Location
Netherlands | 1 |
Spain | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Facebook or LMS in Distance Education? Why University Students Prefer to Interact in Facebook Groups
Vázquez-Cano, Esteban; Díez-Arcón, Paz – International Review of Research in Open and Distributed Learning, 2021
This article describes an investigation into the level of satisfaction among students at Spain's National Distance Education University (UNED) regarding use of Facebook groups as an environment for learning. Based on a structural equation methodology, the research analyzed the most relevant personal and socio-educational factors that affect…
Descriptors: Social Media, Integrated Learning Systems, Student Satisfaction, Preferences
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
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
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
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