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        <identifier>oai:ipsj.ixsq.nii.ac.jp:00231171</identifier>
        <datestamp>2025-01-19T10:52:01Z</datestamp>
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          <dc:title>シラバスの分析と過去の履修登録情報を利用した履修科目推薦システムの提案</dc:title>
          <dc:title xml:lang="en">A Proposal for Course Enrollment Recommendation System using Syllabus Analysis and Information on Past Registrations</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>上續, 慈子</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>宮下, 健輔</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Chikako, Uetsugu</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Kensuke, Miyashita</jpcoar:creatorName>
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          <jpcoar:subject subjectScheme="Other">教育</jpcoar:subject>
          <datacite:description descriptionType="Other">履修科目の選択は学生にとって大学での学びの充実に直結する重要事項であるため，学生の履修科目選択を支援することの必要性は高い．一般的な EC サイト等においてはユーザが選択した商品に応じて他の商品が推薦されるようなシステムが一般的であり，的確な商品が推薦されれば顧客満足度も向上する．履修科目の選択においても同様のサービスが実現できれば，個々の学生にとって大学での学びの充実に結びつくことが期待できる．著者らはこのような履修科目の選択において学生が求める学びに応じた科目を推薦するシステムについて研究している．具体的には，シラバス内容の分析による手法と過去の履修登録情報を利用した手法の融合により履修科目を推薦するシステムの開発を目指している．本論文では，このようなシステムの必要性や全容について述べ，これら 2 つの手法の詳細および実装について述べる．</datacite:description>
          <datacite:description descriptionType="Other">The selection of courses is an important matter for students as it directly affects the enrichment of their university studies, so there is a strong need to support students in selecting courses. In general, e-commerce websites have a system that recommends other products according to the products selected by the customer, and if the right products are recommended, customer satisfaction can be improved. If a similar service can be realised for course selection, it is expected to lead to the enrichment of university studies for individual students. The authors are researching a system that recommends courses according to the learning that students seek in the selection of such courses. Specifically, the authors aim to develop a system that recommends courses by combining a method based on the analysis of syllabus contents and a method using past course registration information. This paper describes the necessity of such a system and its overall concept, and details of these two methods and their implementation.</datacite:description>
          <dc:publisher xml:lang="ja">情報処理学会</dc:publisher>
          <datacite:date dateType="Issued">2023-11-30</datacite:date>
          <dc:language>jpn</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_5794">conference paper</dc:type>
          <jpcoar:identifier identifierType="URI">https://ipsj.ixsq.nii.ac.jp/records/231171</jpcoar:identifier>
          <jpcoar:sourceTitle>インターネットと運用技術シンポジウム論文集</jpcoar:sourceTitle>
          <jpcoar:volume>2023</jpcoar:volume>
          <jpcoar:pageStart>65</jpcoar:pageStart>
          <jpcoar:pageEnd>72</jpcoar:pageEnd>
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            <datacite:date dateType="Available">2025-11-30</datacite:date>
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