Abstract
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.
Highlights
If Learning Content is to be shared on a Peer-To-Peer (P2P) network to promote eLearning goals, quality assurance of the content will be an important consideration
The redesigned content is referred to by [5] as a photonOne Reusable Learning Object (RLO). The research reviewed this design structure of the photonOne Reusable Learning Objects (RLOs), and found that if the Learning Object Review Instrument 1.5 (LORI 1.5) is applied, some aspects related to evaluating the quality were redundant, and as such, a modified LORI was considered and presented as a new evaluation Review Rubric
A similar process is developed in the research for sharing the photonOne RLOs, it is combined with the new Review Rubric and elements of P2P networking in an algorithm to arrive at a rating score for the RLOs’ quality
Summary
If Learning Content is to be shared on a Peer-To-Peer (P2P) network to promote eLearning goals, quality assurance of the content will be an important consideration. Achieving quality assurance on such a P2P network is not the same as it would be for the traditional sharing of content in a client/server eLearning system. In the many traditional client/server eLearning systems, the quality of the learning content is determined through a peer-review process, sometimes by subject-matter experts. A similar process is developed in the research for sharing the photonOne RLOs, it is combined with the new Review Rubric and elements of P2P networking in an algorithm to arrive at a rating score for the RLOs’ quality. A discussion follows in Section V, Section VI gives a summary and conclusion
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