Title | : | Short answer scoring system using automatic reference answer generation and geometric average normalized-longest common subsequence (GAN-LCS) |
Author | : |
FEDDY SETIO PRIBADI (1) Ir. Adhistya Erna Permanasari, S.T., M.T., Ph.D. (2) Teguh Bharata Adji, S.T., M.T., M.Eng., Ph.D (3) |
Date | : | 1 2018 |
Keyword | : | Automatic reference answer generation, Maximum marginal relevance, Sentence similarity, Short answer scoring Automatic reference answer generation, Maximum marginal relevance, Sentence similarity, Short answer scoring |
Abstract | : | The Automatic Short Answer Scoring (ASAS) system is one of the tools that can be used to conduct assessment process on e-learning system. One of the methods applied in the ASAS system is a method for measuring similarities between the reference and student answers. There are two issues to be considered in the assessment process using this method. First, this method should be able to provide a variety of reference answers that can handle the diversity of student answers. Secondly, this method should be able to provide an accurate sentence similarity between the reference answers and student answers. Therefore, two methods are proposed to solve both problems. The first method is to generate a variety of reference answers automatically using Maximum Marginal Relevance (MMR) method, which obtains an accuracy of 91.95%. The second method is to measure accurately sentence similarity between student answers and reference answers that have significantly different length using GAN-LCS. The performance of the proposed method shows an improvement of the Root Mean Square Error (RMSE) value of 0.884 and a correlation value of 0.468. |
Group of Knowledge | : | Teknologi Informasi |
Original Language | : | English |
Level | : | Internasional |
Status | : |
Published
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Short Answer Scoring System Feddy.pdf
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Short answer scoring system using automatic reference answer generation and geometric average normalized-longest common subsequence (GAN-LCS).pdf
Document Type : [PAK] Full Dokumen
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08 Similarity Short answer scoring system using automatic reference answer generation and geometric average normalized-longest common subsequence (GAN-LCS).pdf
Document Type : [PAK] Cek Similarity
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20230411 Surat Keterangan Paper belum digunakan-AEP-Short answer scoring system using-Final.pdf
Document Type : Dokumen Pendukung Karya Ilmiah (Hibah, Publikasi, Penelitian, Pengabdian)
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Bukti Korespondensi EAIT.pdf
Document Type : [PAK] Bukti Korespondensi Penulis
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