發(fā)布時間：2018-04-30 19:49

  本文選題：網(wǎng)絡問題學習行為 + 學習分析技術　； 參考：《華中師范大學》2015年碩士論文

【摘要】：網(wǎng)絡學習作為一種新的學習方式被廣泛應用到人們的生活和學習中,成為網(wǎng)絡教育研究的重要組成內(nèi)容。網(wǎng)絡學習行為尤其是問題學習行為直接影響著學習效果。網(wǎng)絡學習過程中表現(xiàn)的與正常學習規(guī)范相違背、影響自身或他人學習的問題行為進行診斷分析是提高學習效率的重要手段。在移動通訊技術迅速發(fā)展的背景下,更多研究者和實踐者逐漸對用戶數(shù)據(jù)重視起來,基于學習分析技術收集學生大量數(shù)據(jù)進行分析,為個人、教師和教育機構提供了較多的實證性依據(jù),以支持學習、教學和教育決策。本文基于對網(wǎng)絡問題學習行為和學習分析技術相關理論的研究,對網(wǎng)絡學習中的典型問題行為進行診斷和分析,提出了針對性算法流程。具體研究內(nèi)容如下：對網(wǎng)絡學習行為、網(wǎng)絡問題學習行為以及學習分析技術的有關文獻梳理,并對國內(nèi)外應用實踐進行論述。在理論研究基礎上將網(wǎng)絡問題學習行為按照不同的維度分為逃離行為、缺失行為、不當行為和個人時間規(guī)劃四類問題學習行為。針對上述分類設計針對性的診斷算法。首先根據(jù)時間閾值內(nèi)是否存在與學習活動無關的操作或者沒有任何操作行為判定逃離問題學習行為。其次根據(jù)不同的學習模式結合具體的教學實踐活動判定是否存在缺失問題學習行為和不當問題學習行為,最后統(tǒng)計學生學習時間,學習間隔判定學習過程中是否存在時間規(guī)劃問題。借助實證研究的方法,在Moodle平臺上添加網(wǎng)絡課程,統(tǒng)計參與該課程的學習行為數(shù)據(jù)問題學習行為診斷反饋,借以幫學生改善的不良問題行為,達到提高學習效率的目的。
[Abstract]:As a new learning method, network learning has been widely used in people's life and learning, and has become an important component of online education research. Network learning behavior, especially problem learning behavior, directly affects the learning effect. It is an important means to improve the efficiency of learning by diagnosing and analyzing the behavior of problems that affect the learning of oneself or others in the process of network learning, which is contrary to the normal learning norms. With the rapid development of mobile communication technology, more researchers and practitioners pay more and more attention to user data. Teachers and educational institutions provide more empirical evidence to support learning, teaching and educational decisions. Based on the research of learning behavior and learning analysis technology of network problem, this paper diagnoses and analyzes the typical problem behavior in network learning, and puts forward the targeted algorithm flow. The specific contents of the study are as follows: combing the related literatures of network learning behavior, network problem learning behavior and learning analysis technology, and discussing the application practice at home and abroad. On the basis of theoretical research, the learning behavior of network problem is divided into four types according to different dimensions: escape behavior, missing behavior, improper behavior and personal time planning. A specific diagnosis algorithm is designed for the above classification. First, the learning behavior of escaping from the problem is judged according to whether there is any operation independent of learning activity or no operation behavior within the time threshold. Secondly, according to different learning models combined with specific teaching practice activities to determine whether there are missing problem learning behavior and inappropriate problem learning behavior, and finally statistics the student learning time. The learning interval determines whether there is a time planning problem in the learning process. With the help of the method of empirical research, the network course is added to the Moodle platform, and the learning behavior diagnosis feedback of the learning behavior data problem participating in the course is counted, in order to help the students improve the bad problem behavior and achieve the purpose of improving the learning efficiency.
【學位授予單位】：華中師范大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：G434

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本文編號：1825947