Quality Assurance for Reusable Learning Objects on a Peer-To-Peer Network

• Published in: International journal of emerging technologies in learning Vol. 11; no. 10; p. 4
• Main Authors: Singh, Rajendra G., Bernard, Margaret A.
• Format: Journal Article
• Language: English
• Published: Vienna International Association of Online Engineering (IAOE) 01.01.2016
• Subjects: Algorithms; Mathematics; Networks; Peer to peer computing; Quality Assurance; Quality Control
• ISSN: 1863-0383; 1863-0383
• DOI: 10.3991/ijet.v11i10.5881

In this research, improving on the quality of Reusable Learning Objects (RLOs) on a Peer-To-Peer (P2P) network is considered. The RLO was first redesigned to have a fundamentally inherent pedagogical structure, which gave it an immediate foundational level of quality in terms of opportunities related to reusability. Applying the Learning Object Review Instrument 1.5 (LORI 1.5) demonstrated that some of the elements are inherent in this new RLO design, so there was no need to constantly have such features evaluated with LORI. A modified LORI was therefore developed in order to evaluate the remaining features of the RLO. The research identified these remaining elements to produce a Review Rubric for scoring the RLO’s quality. In addition, an algorithm is given which considers one or more subject-matter experts as part of a review process. Utilizing the subject-matter experts in a P2P network involved the creation of special nodes to ensure data integrity and post-availability of the review scores for RLOs. The research concludes that the redesigned RLOs along with the corresponding Review Rubric and scoring algorithm produces a system suitable for a P2P network, where for the first time, RLOs can be shared of assured quality to promote eLearning within P2P networks.