Learning Object Repositories Evaluation Based on Quality Indicators using AHP Method

Abstract

Learning Object Repositories (LOR), also known as Open Educational Repositories (OER), are proper web platforms to store educational resources such as Learning Objects (LOs). Learning Object Repositories are design to make easy searching and reusing of educational resources. However, LORs great variety of available educational resources makes difficult to a user to find an LOR that suits his needs. Software Quality Indicators such as Functionality, Usability, Reliability, and Compatibility are important characteristics, according to ISO 25010 software quality norm, regarding general software use and they can be used as criteria for choosing the most suitable LOR according to user will. This work aims to present a support decision-making method for choosing the most suitable LOR to a user. This method uses the multicriteria decision-making method AHP for ranking LORs according to a user requested set of Indicators and values. Proposed method evaluation envolving different user requests shows its viability and applicability.