Please use this identifier to cite or link to this item: https://ruomoplus.lib.uom.gr/handle/8000/268
Title: Analyzing repositories of OER using web analytics and accessibility tools
Authors: Perifanou, Maria A. 
Economides, Anastasios 
Author Department Affiliations: Department of Economics 
Author School Affiliations: School of Economic and Regional Studies 
Subjects: FRASCATI__Social sciences__Educational sciences
FRASCATI__Natural sciences__Computer and information sciences
FRASCATI__Social sciences__Media and communications
FRASCATI__Social sciences__Media and communications__Information science (social aspects)
Keywords: Accessibility
Mobile access
Open educational resources
Repositories of OER
Traffic analysis
User experience
Web analytics
SpyFu
Semrush
Siteimprove Accessibility Checker
ANDI Accessibility Testing Tool
AChecker
Web Accessibility
MIT OCW
OpenLearn
Commons
Issue Date: 2023
Publisher: Springer
Journal: Universal access in the information society 
ISSN: 1615-5289
1615-5297
Volume: 22
Issue: 4
Start page: 1243
End page: 1257
Abstract: 
Open Educational Resources (OER) provide learning opportunities for all. Usually, OER and links to OER are curated in Repositories of OER (ROER) for open access and use by anyone, including people with disabilities, at any place at any time. This study analyzes the reputation/ authoritativeness, usage, and accessibility of thirteen popular ROER for teaching and learning using three Web Analytics and five Web Accessibility tools. A high difference among the ROER was observed in almost every metric. Millions of users visit some of these ROER every month and on average stay 2-26 min per visit and view 1.1-8.5 pages per visit. Although in many ROER most of their visitors come from the country where the ROER hosting institute operates, other ROER (such as DOER, MIT OCW, and OpenLearn) have managed to attract visitors from all over the world. In some ROER, their visitors come directly to their website while in a few other ROER visitors are coming after visiting a search engine. Although most ROER are accessible by users with disabilities, the Web Accessibility tools revealed several errors in few ROER. In most ROER, less than one third of the traffic is coming from mobile devices although almost everyone has a mobile phone nowadays. Finally, the study makes suggestions to ROER administrators such as interconnecting their ROER, collaborating, exchanging good practices (such as Commons and MIT OCW), improving their website accessibility and mobile-optimized design, as well as promoting their ROER to libraries, educational institutes, and organizations.
URI: https://doi.org/10.1007/s10209-022-00907-6
https://ruomoplus.lib.uom.gr/handle/8000/268
DOI: 10.1007/s10209-022-00907-6
Rights: Attribution-NonCommercial-ShareAlike 4.0 International
Corresponding Item Departments: Department of Economics
Appears in Collections:Articles

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This item is licensed under a Creative Commons License Creative Commons