本文選題：高校計算機等級考試 + 決策樹��； 參考：《廣西大學》2013年碩士論文

【摘要】：作為高校非計算機專業(yè)學生必須通過的一種計算機水平考試——高校計算機等級考試,是由教育部所屬全國各省、市、自治區(qū)教育廳主持、各高�？紕辙k公室具體負責組織實施的�？荚嚸磕昱e行兩次,目前各高校教務部門積累了大量與考試相關(guān)的數(shù)據(jù),但對這些數(shù)據(jù)的利用大部分只停留在成績的上報、備份、統(tǒng)計和查詢等,隱藏在成績背后與成績有相關(guān)聯(lián)如學生數(shù)據(jù)、課程數(shù)據(jù)、教師數(shù)據(jù)、考試數(shù)據(jù)沒有得到全面挖掘,對考試、教學潛在有用價值的信息沒有得到充分利用。全面的、深層次地對這些數(shù)據(jù)進行挖掘,找出潛在的影響高校計算機等級考試成績的重要關(guān)鍵因素和有用規(guī)則,不僅利于提高考試的通過率,而且利于提高教學質(zhì)量。 數(shù)據(jù)挖掘技術(shù)是數(shù)據(jù)庫、人工智能、信息檢索等多領(lǐng)域結(jié)合發(fā)展的新技術(shù)。使用它可以從數(shù)據(jù)庫中存在的大量信息挖掘出潛在的知識或者發(fā)現(xiàn)有用的規(guī)則。數(shù)據(jù)挖掘技術(shù)不僅可以對歷史數(shù)據(jù)作出描述,也可以對未來數(shù)據(jù)作出預測。決策樹是數(shù)據(jù)挖掘技術(shù)中的常用的技術(shù),已經(jīng)廣泛應用于不同領(lǐng)域。 本文通過發(fā)放問卷調(diào)查表方式獲取學生信息數(shù)據(jù),通過教務管理系統(tǒng)獲取學生成績數(shù)據(jù),以這兩部分數(shù)據(jù)為數(shù)據(jù)源,借助數(shù)據(jù)挖掘工具軟件SPSS,使用決策樹技術(shù)CRT方法及計算機編程語言的相關(guān)技術(shù),對高校計算機等級考試成績及其相關(guān)信息進行數(shù)據(jù)挖掘。然后綜合運用概率論、數(shù)理統(tǒng)計知識等對挖掘的數(shù)據(jù)及結(jié)果分析研究,作出科學合理的解釋。 本文研究的結(jié)果建立了高校計算機等級考試成績合格的分類模型,找出潛在的影響高校計算機等級考試成績的重要關(guān)鍵因素；發(fā)現(xiàn)了考試成績合格分類的有用規(guī)則。根據(jù)這些規(guī)則,可以給學校相關(guān)部門提供考試管理和教學改革的理論參考,以便改善教學質(zhì)量和考試管理水平；提高高校計算機等級考試的合格率。運用分類模型,可以預測學生考試的通過率。
[Abstract]:As a kind of computer level examination that students of non-computer major in colleges and universities must pass, the computer grade examination of colleges and universities is presided over by the education department of the provinces, municipalities and autonomous regions affiliated to the Ministry of Education. The examination office of each university is specifically responsible for organizing the implementation. The examination is held twice a year. At present, the educational administration departments of colleges and universities have accumulated a large amount of examination-related data, but most of these data are used only in the reporting, backup, statistics and inquiry of results. Hidden behind the results and results are related to such as student data, curriculum data, teacher data, test data has not been fully mined, test, teaching potential useful value of information has not been fully utilized. Comprehensively and deeply mining these data and finding out the important key factors and useful rules that may affect the results of computer grade examination in colleges and universities are not only conducive to improving the pass rate of the examination but also to the quality of teaching. Data mining technology is a new technology which combines database, artificial intelligence, information retrieval and other fields. It can be used to mine potential knowledge or find useful rules from the vast amount of information that exists in the database. Data mining technology can not only describe historical data, but also predict future data. Decision tree is a common technology in data mining, which has been widely used in different fields. In this paper, students' information data are obtained by questionnaire, students' achievement data are obtained by educational administration system, and these two parts of data are used as data sources. With the help of the data mining tool software SPSS, using the decision tree technology CRT method and the related technology of computer programming language, this paper carries on the data mining to the university computer grade examination result and its related information. Then the data and results of mining are analyzed and studied by means of probability theory, mathematical statistics and so on, and scientific and reasonable explanation is made. The results of this paper set up a classification model of college computer grade examination scores, find out the potential important key factors that affect the college computer grade examination results, and find out the useful rules for the classification of college computer grade examination results. According to these rules, the theoretical reference of examination management and teaching reform can be provided to the relevant departments in schools, in order to improve the teaching quality and examination management level, and to improve the qualified rate of computer grade examinations in colleges and universities. By using the classification model, the pass rate of students can be predicted.
【學位授予單位】：廣西大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：TP3-4;G642.474

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本文編號：1936920