Quality Assurance for Reusable Learning Objects on a Peer-To-Peer Network Article Swipe
YOU?
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· 2016
· Open Access
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· DOI: https://doi.org/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.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3991/ijet.v11i10.5881
- https://online-journals.org/index.php/i-jet/article/download/5881/4129
- OA Status
- gold
- Cited By
- 5
- References
- 16
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2543870248
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2543870248Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3991/ijet.v11i10.5881Digital Object Identifier
- Title
-
Quality Assurance for Reusable Learning Objects on a Peer-To-Peer NetworkWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-10-27Full publication date if available
- Authors
-
Rajendra Singh, Margaret BernardList of authors in order
- Landing page
-
https://doi.org/10.3991/ijet.v11i10.5881Publisher landing page
- PDF URL
-
https://online-journals.org/index.php/i-jet/article/download/5881/4129Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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-
https://online-journals.org/index.php/i-jet/article/download/5881/4129Direct OA link when available
- Concepts
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Rubric, Computer science, Quality (philosophy), Quality assurance, Reusability, Learning object, Object (grammar), Subject matter, Peer-to-peer, Data integrity, Artificial intelligence, Database, World Wide Web, Software, Service (business), Epistemology, Pedagogy, Psychology, Economics, Mathematics, Economy, Programming language, Philosophy, Arithmetic, CurriculumTop concepts (fields/topics) attached by OpenAlex
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5Total citation count in OpenAlex
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2024: 1, 2022: 1, 2018: 2, 2017: 1Per-year citation counts (last 5 years)
- References (count)
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16Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.RLO. | 97 |
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| abstract_inverted_index.this | 1, 65 |
| abstract_inverted_index.with | 80, 167 |
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| abstract_inverted_index.(P2P) | 15 |
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| abstract_inverted_index.RLOs. | 158 |
| abstract_inverted_index.along | 166 |
| abstract_inverted_index.first | 22, 186 |
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| abstract_inverted_index.time, | 187 |
| abstract_inverted_index.where | 183 |
| abstract_inverted_index.which | 31, 120 |
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| abstract_inverted_index.Object | 50 |
| abstract_inverted_index.Review | 51, 107, 170 |
| abstract_inverted_index.Rubric | 108, 171 |
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| abstract_inverted_index.review | 131, 155 |
| abstract_inverted_index.scores | 156 |
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| abstract_inverted_index.system | 177 |
| abstract_inverted_index.within | 198 |
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| abstract_inverted_index.assured | 193 |
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| abstract_inverted_index.experts | 126, 136 |
| abstract_inverted_index.network | 16, 140 |
| abstract_inverted_index.produce | 105 |
| abstract_inverted_index.promote | 196 |
| abstract_inverted_index.quality | 6, 39, 194 |
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| abstract_inverted_index.scoring | 110, 173 |
| abstract_inverted_index.special | 145 |
| abstract_inverted_index.Applying | 47 |
| abstract_inverted_index.Learning | 9, 49 |
| abstract_inverted_index.Reusable | 8 |
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| abstract_inverted_index.elements | 61, 103 |
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| abstract_inverted_index.features | 78, 94 |
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| abstract_inverted_index.modified | 83 |
| abstract_inverted_index.network, | 182 |
| abstract_inverted_index.process. | 132 |
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| abstract_inverted_index.quality. | 113 |
| abstract_inverted_index.research | 99, 160 |
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| abstract_inverted_index.Utilizing | 133 |
| abstract_inverted_index.addition, | 115 |
| abstract_inverted_index.algorithm | 117, 174 |
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| abstract_inverted_index.considers | 121 |
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| abstract_inverted_index.eLearning | 197 |
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| abstract_inverted_index.pedagogical | 29 |
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| abstract_inverted_index.foundational | 36 |
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| abstract_inverted_index.opportunities | 43 |
| abstract_inverted_index.subject-matter | 125, 135 |
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| institutions_distinct_count | 2 |
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