English  |  正體中文  |  简体中文  |  Items with full text/Total items : 58017/91564 (63%)
Visitors : 13715821      Online Users : 49
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/115168


    Title: Cluster Analysis for Student Performance in PISA2015 among OECD Economies
    Authors: Chang, Dian-Fu;Chen, Chia-Chi
    Keywords: Cluster analysis;Data mining;Regression analysis;OECD;PISA2005;OECD/PISA2015
    Date: 2018-11
    Issue Date: 2018-10-11 12:10:14 (UTC+8)
    Publisher: ICIC International
    Abstract: This study selected OECD 35 economy members’ science, math, and reading scores and related impact factors as targets to mining the patterns and explore the main factors impact on the PISA2015 performance. The data selection was the first step; then this study applied observation clustering function with Minitab to determine the optimal clusters. The 3D scatterplot and 3D surface plot have been used to display the data structure. The dendrogram with three clusters drew by Ward linkage and Euclidean distance has a relatively high similarity level and a relatively low distance level in this study. The result reveals OECD economies in the cluster1 and cluster2 are needed to improve their students’ performance. The teaching hours per year in OECD economies has negative relationship with PISA2015 performance. While the teaching hours per year in economies can explain only 12.50% of the OECD/PISA2015 performance in the regression model. The OECD/PISA data provides an excellent databank for mining practices.
    Relation: ICIC Express Letters Part B: Applications, 9(11), pp.1139-1146
    DOI: 10.24507/icicelb.09.11.1139
    Appears in Collections:[Master's Program, Graduate Institute of Educational Policy and Leadership] Journal Article

    Files in This Item:

    File Description SizeFormat
    Cluster Analysis for Student Performance in PISA2015 among OECD Economies.pdf157KbAdobe PDF0View/Open
    index.html0KbHTML97View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback