中大機構典藏-NCU Institutional Repository-提供博碩士論文、考古題、期刊論文、研究計畫等下載:Item 987654321/89738
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 81570/81570 (100%)
Visitors : 47019402      Online Users : 99
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU 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://ir.lib.ncu.edu.tw/handle/987654321/89738


    Title: 參考既有學生發展模型分析影響大學生選擇學業方向之決定性因素;Analyze the Decision Academic Directions Factors by Referring to Tinto′s Conceptual Model for Students Dropout from Colleges
    Authors: 蔡均宜;Tsai, Jiun-yi
    Contributors: 資訊工程學系
    Keywords: 校務研究;因果規則探勘;休退學;institutional research;causal rule mining;student dropout
    Date: 2022-07-07
    Issue Date: 2022-10-04 11:58:01 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 近年生育率逐漸降低,大專生休退率卻自103年起逐年攀升,大專院校招生面臨衝擊,必須預防學生流失以維持整體校務經營與運作。教育部統計數據指出,臺灣大專生休學前兩大原因皆為自願退學而非成績未達標準,是否擁有特定特徵的學生會比其他學生更容易做出休退學的決定?而背後導致學生產生休退學動機的因素究竟又有哪些呢?
    現今在國內外的大專生教育領域中,存在許多與學生休退學相關的發展理論,探討了可能導致學生做出休退學決定的相關因素,本研究將參考學生發展理論所提出的特徵,自校務倉儲資料庫挑選與特徵相關的欄位,嘗試以實證資料與因果規則探勘作為實驗資料來源與方法,探討導致學生做出休退學決定的相關因素與蘊含在資料集中豐富的因果規則,並將產生的因果規則與學生發展理論相互比較,檢視實驗結果與理論的呼應程度。藉此提供給校內行政作為教育方針規劃的參考,協助大專生生涯發展歷程建立有效學習制度,降低休退率的同時亦提升學生在校互動與學習成效。
    ;Recently, the fertility rate has gradually decreased, but the dropout rate of college students has been increasing year by year. The enrollment of colleges is facing an impact. Statistics from the Ministry of Education point out that both the top two reasons for college students in Taiwan to suspend their studies are voluntary dropout rather than substandard grades. Are students with certain characteristics more likely to make the decision to suspend their studies than other students? And what are the factors behind the motivation of students to dropout?
    In the field of college education, there are many development theories related to student dropout. We try to use empirical data and causal rule mining as experimental data sources and methods, and explores the relevant factors that lead students to decide to dropout. The resulting causal rules are compared with the student development theory to examine how well the rules correspond to the theory. This provides the school administration as a reference for educational policy planning, assists the career development of college students to establish an effective learning system, reduces the dropout rate, and improves students′ interaction and learning effectiveness in school.
    Appears in Collections:[Graduate Institute of Computer Science and Information Engineering] Electronic Thesis & Dissertation

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML47View/Open


    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 隱私權政策聲明