本文選題：網(wǎng)絡(luò)問題學(xué)習(xí)行為 + 學(xué)習(xí)分析技術(shù)　； 參考：《華中師范大學(xué)》2015年碩士論文

【摘要】：網(wǎng)絡(luò)學(xué)習(xí)作為一種新的學(xué)習(xí)方式被廣泛應(yīng)用到人們的生活和學(xué)習(xí)中,成為網(wǎng)絡(luò)教育研究的重要組成內(nèi)容。網(wǎng)絡(luò)學(xué)習(xí)行為尤其是問題學(xué)習(xí)行為直接影響著學(xué)習(xí)效果。網(wǎng)絡(luò)學(xué)習(xí)過程中表現(xiàn)的與正常學(xué)習(xí)規(guī)范相違背、影響自身或他人學(xué)習(xí)的問題行為進(jìn)行診斷分析是提高學(xué)習(xí)效率的重要手段。在移動通訊技術(shù)迅速發(fā)展的背景下,更多研究者和實(shí)踐者逐漸對用戶數(shù)據(jù)重視起來,基于學(xué)習(xí)分析技術(shù)收集學(xué)生大量數(shù)據(jù)進(jìn)行分析,為個(gè)人、教師和教育機(jī)構(gòu)提供了較多的實(shí)證性依據(jù),以支持學(xué)習(xí)、教學(xué)和教育決策。本文基于對網(wǎng)絡(luò)問題學(xué)習(xí)行為和學(xué)習(xí)分析技術(shù)相關(guān)理論的研究,對網(wǎng)絡(luò)學(xué)習(xí)中的典型問題行為進(jìn)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(luò)學(xué)習(xí)行為、網(wǎng)絡(luò)問題學(xué)習(xí)行為以及學(xué)習(xí)分析技術(shù)的有關(guān)文獻(xiàn)梳理,并對國內(nèi)外應(yīng)用實(shí)踐進(jìn)行論述。在理論研究基礎(chǔ)上將網(wǎng)絡(luò)問題學(xué)習(xí)行為按照不同的維度分為逃離行為、缺失行為、不當(dāng)行為和個(gè)人時(shí)間規(guī)劃四類問題學(xué)習(xí)行為。針對上述分類設(shè)計(jì)針對性的診斷算法。首先根據(jù)時(shí)間閾值內(nèi)是否存在與學(xué)習(xí)活動無關(guān)的操作或者沒有任何操作行為判定逃離問題學(xué)習(xí)行為。其次根據(jù)不同的學(xué)習(xí)模式結(jié)合具體的教學(xué)實(shí)踐活動判定是否存在缺失問題學(xué)習(xí)行為和不當(dāng)問題學(xué)習(xí)行為,最后統(tǒng)計(jì)學(xué)生學(xué)習(xí)時(shí)間,學(xué)習(xí)間隔判定學(xué)習(xí)過程中是否存在時(shí)間規(guī)劃問題。借助實(shí)證研究的方法,在Moodle平臺上添加網(wǎng)絡(luò)課程,統(tǒng)計(jì)參與該課程的學(xué)習(xí)行為數(shù)據(jù)問題學(xué)習(xí)行為診斷反饋,借以幫學(xué)生改善的不良問題行為,達(dá)到提高學(xué)習(xí)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(xué)位授予單位】：華中師范大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：G434

【參考文獻(xiàn)】

相關(guān)期刊論文 前4條

1 李玉斌;武書寧;姚巧紅;褚蕓蕓;;大學(xué)生網(wǎng)絡(luò)學(xué)習(xí)行為調(diào)查研究[J];電化教育研究;2013年11期

2 李宏宇;;利用文獻(xiàn)檢索課平臺 指導(dǎo)大學(xué)生網(wǎng)絡(luò)學(xué)習(xí)行為[J];蘭臺世界;2010年04期

3 喬金瑤;王紅;;學(xué)習(xí)分析技術(shù)在未來教育中的應(yīng)用[J];軟件導(dǎo)刊;2013年12期

4 朱珂;劉清堂;;基于“學(xué)習(xí)分析”技術(shù)的學(xué)習(xí)平臺開發(fā)與應(yīng)用研究[J];中國電化教育;2013年09期

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本文編號：1825947