Quality Models and Quality Attributes for Open Educational Resources: a Systematic Mapping

Author(s)

de Oliveira, Myke Morais ; Paschoal, Leo Natan ; Barbosa, Ellen Francine ; IEEE

• Document type: Journal article
• Source: 2021 IEEE FRONTIERS IN EDUCATION CONFERENCE (FIE 2021); v. N/A, p. 9-pg., 2021-01-01.

Abstract

This research full paper presents a systematic mapping on quality attributes and quality models for Open Educational Resources (OER). The OER movement is part of a greater trend towards openness in education. They are represented by teaching materials that are available at no cost to the community to retain, reuse, review, remix, and redistribute. Given the wide availability of OER, how can one guarantee its quality? Motivated by this issue, some initiatives have proposed quality attributes or quality models to design, evaluate, and improve the quality of OER. However, to the best of our knowledge, a complete and detailed overview of how quality is being treated for OER is lacking. Besides, the literature lacks consensus on which quality attributes and quality models are the most relevant and which ones could be more suitable for OER. Also, there is an absence of a comprehensive analysis of the approaches used to establish quality attributes for OER. For this purpose, we carried out a systematic mapping addressing the following research questions: i) what are the quality models or quality attributes proposed for OER?; ii) how have these quality models or quality attributes been established for OER?; iii) how have quality models or quality attributes for OER been evaluated?. We identified quality models for different OER contexts, such as OCW and MOOC, in addition to quality attributes that are important for OER openness characteristics (i.e., retain, reuse, remix, revise, and redistribute). In order to contribute to the community, we presented discussions and highlighted some points and directions for future research. (AU)

• FAPESP's process: 18/26636-2 - Software Engineering and Learning Technologies: Establishing Supporting Mechanisms for Teaching and Learning
• Grantee: Ellen Francine Barbosa
• Support Opportunities: Regular Research Grants