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<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>IJIRCSTJournal</PublisherName>
      <JournalTitle>International Journal of Innovative Research in Computer Science and Technology</JournalTitle>
      <PISSN>I</PISSN>
      <EISSN>S</EISSN>
      <Volume-Issue>Volume 2 Issue 6</Volume-Issue>
      <PartNumber/>
      <IssueTopic> Information Systems </IssueTopic>
      <IssueLanguage>English</IssueLanguage>
      <Season>November - December 2014</Season>
      <SpecialIssue>N</SpecialIssue>
      <SupplementaryIssue>N</SupplementaryIssue>
      <IssueOA>Y</IssueOA>
      <PubDate>
        <Year>2019</Year>
        <Month>11</Month>
        <Day>25</Day>
      </PubDate>
      <ArticleType>Computer Sciences</ArticleType>
      <ArticleTitle>A Proposed Metric for Estimating the Effectiveness of Reusing Learning Objects </ArticleTitle>
      <SubTitle/>
      <ArticleLanguage>English</ArticleLanguage>
      <ArticleOA>Y</ArticleOA>
      <FirstPage>63</FirstPage>
      <LastPage>68</LastPage>
      <AuthorList>
        <Author>
          <FirstName>Assoc. Prof. Ayman E. Khedr</FirstName>          
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>Y</CorrespondingAuthor>
          <ORCID/>
                      <FirstName>Assoc. Prof. Mona M. Nasr </FirstName>          
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
                    <FirstName>Sara E. Amin. </FirstName>          
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
           
        </Author>
      </AuthorList>
      <DOI></DOI>
      <Abstract>This paper aims to estimate the effectiveness of reusing learning object (LO) by evaluating the most affected aspects in reusing LO by specialized reviewers. In this study we propose a metric aims to give very accurate results about the effectiveness of reusing LO, it can be done by letting a group of reviewers cooperate in reviewing every LO. Every reviewer, reviews only his/ her specialized area. The reviewers of this metric are categorized into three groups; academic, technical and students while the evaluated elements are categorized into eight categories; gender, re-tasking &amp;amp; repurposing, accessibility, appropriateness, content quality, metadata, motivation and usability. A comparison to the results of the proposed metric vice the most famous learning objects&amp;#39; metrics is done through this study to indicate the reliability and accurateness of the proposed metric compared with the other metrics.</Abstract>
      <AbstractLanguage>English</AbstractLanguage>
      <Keywords>learning objects evaluation, learning objects metric, LOREM, learning objects reusability</Keywords>
      <URLs>
        <Abstract>https://ijircst.org/abstract.php?article_id=121</Abstract>
      </URLs>      
    </Journal>
  </Article>
</ArticleSet>