1. NCCU Academic Hub
  2. 學術產出
  3. College of Commerce
  4. Periodical Articles
  5. Item

學術產出-Periodical Articles

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

  • No doi shows Citation Infomation
題名 How Instructors Evaluate an e-Learning System? An Evaluation Model Combining Fuzzy AHP with Association Rule Mining
作者 林湘霖
Lin, Shiang-Lin
Wang, Chen-Shu
貢獻者 資管博七
關鍵詞 e-Learning ; e-Learning system evaluation ; Fuzzy AHP ; Association rule mining
日期 2019-11
上傳時間 26-May-2021 10:43:34 (UTC+8)
摘要 Online learning is becoming increasingly popular as a result more courseware is being converted into digital materials, resulting in the rapid development of eLearning systems. The ways in which users (particular instructors) evaluate e-Learning systems are an important issue. In this study, the Fuzzy Analytic Hierarchy Process (FAHP) and Association Rule Mining methods are combined to rank criteria for evaluating e-Learning systems in order of importance. The proposed evaluation model comprises three steps. In step 1, a hierarchal structure of evaluation criteria is established. In step 2, 30 instructors who have practical experience of e-Learning system are interviewed according to this hierarchal structure. Finally, in step 3, a fuzzy mechanism is utilized to normalize the semantic variation among domain experts. Then, the normalized results of the questionnaires are analyzed to obtain the fuzzy weights (via FAHP) and association rules (via Association Rule Mining) among the evaluation criteria. The results of the analysis reveal that “connection quality”, “ease of use”, “visualization”, “waiting time” and “graphical arrangement of interface” are the top five criteria for evaluating an e-Learning system. A developer of an eLearning system can improve user experience using these criteria and their priorities accordingly.
關聯 Journal of Internet Technology, 20:6, 1947-1959
資料類型 article
dc.contributor 資管博七
dc.creator (作者) 林湘霖
dc.creator (作者) Lin, Shiang-Lin
dc.creator (作者) Wang, Chen-Shu
dc.date (日期) 2019-11
dc.date.accessioned 26-May-2021 10:43:34 (UTC+8)-
dc.date.available 26-May-2021 10:43:34 (UTC+8)-
dc.date.issued (上傳時間) 26-May-2021 10:43:34 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/135155-
dc.description.abstract (摘要) Online learning is becoming increasingly popular as a result more courseware is being converted into digital materials, resulting in the rapid development of eLearning systems. The ways in which users (particular instructors) evaluate e-Learning systems are an important issue. In this study, the Fuzzy Analytic Hierarchy Process (FAHP) and Association Rule Mining methods are combined to rank criteria for evaluating e-Learning systems in order of importance. The proposed evaluation model comprises three steps. In step 1, a hierarchal structure of evaluation criteria is established. In step 2, 30 instructors who have practical experience of e-Learning system are interviewed according to this hierarchal structure. Finally, in step 3, a fuzzy mechanism is utilized to normalize the semantic variation among domain experts. Then, the normalized results of the questionnaires are analyzed to obtain the fuzzy weights (via FAHP) and association rules (via Association Rule Mining) among the evaluation criteria. The results of the analysis reveal that “connection quality”, “ease of use”, “visualization”, “waiting time” and “graphical arrangement of interface” are the top five criteria for evaluating an e-Learning system. A developer of an eLearning system can improve user experience using these criteria and their priorities accordingly.
dc.format.extent 903358 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Journal of Internet Technology, 20:6, 1947-1959
dc.subject (關鍵詞) e-Learning ; e-Learning system evaluation ; Fuzzy AHP ; Association rule mining
dc.title (題名) How Instructors Evaluate an e-Learning System? An Evaluation Model Combining Fuzzy AHP with Association Rule Mining
dc.type (資料類型) article