Using SVM to improve quality of high education system

Хэвлэлийн нэр: Emerging ICTs in high education, UNESCO & MUST

Зохиогч:  Д.ЭНХЖАРГАЛ

Хамтран зохиогч: А.Эрдэнэбаатар

Хэвлүүлсэн огноо: 2011-07-01

Хуудас дугаар: 112-115

Өгүүллийн хураангуй: Offering high quality education system to students in any university requires tools to help administration to make effective decisions in areas like curriculum assessment, student retention, reading assessment, teaching quality assessment, and plagiarism detection.  Support vector machine is a data classification technique which can play a crucial role in handling multidimensional data and help improve the quality of higher education system. This paper presents mathematical background to support vector machines, followed by applications of support vector machine in improving five key areas of higher education system: admission decision, reading level assessment, teaching quality evaluation, education quality analysis, and curriculum assessment.

Өгүүллийн төрөл: Олон улсын хурлын эмхэтгэлд бүрэн хэмжээний өгүүлэл

Өгүүллийн зэрэглэл: Гадаад

Түлхүүр үг: #Decision Support System #Machine learnine #Support Vector Machine

Өгүүлэл нэмсэн: Д.ЭНХЖАРГАЛ

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