Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/147887
Title: Collecting data for feeding the online dimension of university rankings: a feasibility test
Other Titles: Raccolta dati per valutare la dimensione online dei sistemi di ranking delle università: un test di fattibilità
Author: Sangrà, Albert  
Guitert, Montse  
Cabrera, Nati  
Taulats, Maria
Toda, Lidia
Carrillo Arnal, Anna  
Others: Universitat Oberta de Catalunya. Estudis de Psicologia i Ciències de l'Educació
Citation: Sangrà, A., Guitert, M., Cabrera, N., Taulats, M., Toda, L. & Carrillo, A. (2019). Collecting data for feeding the online dimension of university rankings: a feasibility test. Italian Journal of Educational Technology, 27(3), 241-256. doi: 10.17471/2499-4324/1114
Abstract: Online universities have been always concerned about the quality of online education. However, the current rankings systems do not consider their singularities, and thus current rating criteria and indicators result in downgrading of their position in the rankings. CODUR (Creating an Online Dimension for University Rankings) is a European project that developed a set of criteria and indicators for evaluating the online dimension of university rankings. Criteria and indicators were created from a participatory research approach. A Toolbox to support data collection (and management) from the online universities to be ranked was also developed. This paper presents the testing process of this Toolbox, carried out with four international universities, located in different continents. These institutions have tested the feasibility of gathering the expected data to feed the indicators. The Toolbox test has been shown useful to forecast the availability of the data to feed the online dimension indicators.
Keywords: Teaching
quality
online universities
university rankings
evaluation
DOI: https://doi.org/10.17471/2499-4324/1114
Document type: info:eu-repo/semantics/article
Version: info:eu-repo/semantics/publishedVersion
Issue Date: 30-Dec-2019
Publication license: https://creativecommons.org/licenses/by-nc/4.0/  
Appears in Collections:Articles
Articles cientÍfics

Files in This Item:
File Description SizeFormat 
1114.pdf1,46 MBAdobe PDFThumbnail
View/Open
Share:
Export:
View statistics

Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.