Hybrid Fuzzy Rule-Based Classification System for MOODLE LMS System,ERICDATA高等教育知識庫
高等教育出版
熱門: 崔雪娟  王美玲  李明昆  王善边  黃昱倫  黃乃熒  
高等教育出版
首頁 臺灣期刊   學校系所   學協會   民間出版   大陸/海外期刊   政府機關   學校系所   學協會   民間出版   DOI註冊服務
閱讀全文
篇名
Hybrid Fuzzy Rule-Based Classification System for MOODLE LMS System
並列篇名
Hybrid Fuzzy Rule-Based Classification System for MOODLE LMS System
作者 Qun ZhaoShou-Chuan LaiJin-Long WangLi-Yu Wang
英文摘要
Educational data are widely applied to predict students’ academic performance in educational systems. Prior research mainly used students’ past learning data to predict their future performance. However, these predicted results could not provide teachers with the opportunity to remediate the students in time. In order to achieve the effect of early warning, this study uses only the activity log of the first third of the semester to build models and prediction results. A hybrid classification decision mechanism is proposed to combine the results of different predictions based on the accumulated training cases to further improve the accuracy of prediction. The proposed system is then applied to discover students’ learning outcomes in a C programming language course in the early stage of a semester according to the log files of the MOODLE LMS system. The results show that the transformation of learning activity data has a critical impact on prediction accuracy. Using cumulative training cases can significantly improve prediction accuracy. And the proposed hybrid fuzzy classification decision-making scheme, which combines data conversion with cumulative training cases, can produce higher prediction accuracy by using just onethird of a semester’s learning activity data.
起訖頁 081-090
關鍵詞 MOODLEearly warningfuzzy rule-based classification system
刊名 網際網路技術學刊  
期數 202101 (22:1期)
出版單位 台灣學術網路管理委員會
DOI 10.3966/160792642021012201008   複製DOI
QR Code
該期刊
上一篇
Power Consumption Analysis Model in Wireless Sensor Network for Different Topology Protocols and Lightweight Cryptographic Algorithms
該期刊
下一篇
A Privacy-preserving Multi-dimensional Data Aggregation Scheme with Forward Security in Smart Grid

高等教育知識庫  閱讀計畫  教育研究月刊  新書優惠  

教師服務
合作出版
期刊徵稿
聯絡高教
高教FB
讀者服務
圖書目錄
教育期刊
訂購服務
活動訊息
數位服務
高等教育知識庫
國際資料庫收錄
投審稿系統
DOI註冊
線上購買
高點網路書店 
元照網路書店
博客來網路書店
教育資源
教育網站
國際教育網站
關於高教
高教簡介
出版授權
合作單位
知識達 知識達 知識達 知識達 知識達 知識達
版權所有‧轉載必究 Copyright2011 高等教育文化事業股份有限公司  All Rights Reserved
服務信箱:edubook@edubook.com.tw 台北市館前路 26 號 6 樓 Tel:+886-2-23885899 Fax:+886-2-23892500