本文選題：MOOC + 蟻群聚類算法　； 參考：《成都理工大學(xué)》2017年碩士論文

【摘要】：MOOC(massive open online courses),即大型開(kāi)放式網(wǎng)絡(luò)課程,MOOC平臺(tái)一般都是面向全球或者某個(gè)特定范圍群體,通過(guò)MOOC網(wǎng)絡(luò)平臺(tái)向?qū)W生傳授知識(shí)正如火如荼、在全球范圍內(nèi)迅猛發(fā)展。具有優(yōu)質(zhì)的師資、優(yōu)質(zhì)的課程內(nèi)容的結(jié)構(gòu)體系是其主要特征。但MOOC平臺(tái)也存在許多不可忽視的問(wèn)題,比如學(xué)生資源的差異,學(xué)生的來(lái)源、學(xué)習(xí)工作背景、學(xué)習(xí)環(huán)境的差異等等,這些差異會(huì)直接導(dǎo)致學(xué)生在MOOC平臺(tái)學(xué)習(xí)效果的差異。為促進(jìn)MOOC環(huán)境下學(xué)生的學(xué)習(xí)質(zhì)量,提升總體教學(xué)質(zhì)量,實(shí)行學(xué)生間的作業(yè)互評(píng)是一項(xiàng)有效的措施。通過(guò)學(xué)生間的作業(yè)互評(píng)不僅可以有效的加深學(xué)生對(duì)課程內(nèi)容的理解,對(duì)促進(jìn)學(xué)生學(xué)習(xí)效果的共同提高具有良好的效果;并對(duì)解決MOOC環(huán)境下教師不可能對(duì)學(xué)生作業(yè)逐一批改的困境給出了一種有效的解決方法。學(xué)生間的作業(yè)互評(píng)如何分組?學(xué)生間如何進(jìn)行互評(píng)?一種方式是隨機(jī)的指定兩名學(xué)生進(jìn)行互評(píng),但這種方式由于網(wǎng)絡(luò)環(huán)境下學(xué)生彼此間的差異太大,可能導(dǎo)致出現(xiàn)不夠理想的互評(píng)結(jié)果,學(xué)生互評(píng)成績(jī)與實(shí)際成績(jī)相差很大。本文提出一種基于學(xué)生背景大致相同情況下的作業(yè)互評(píng)模式,即進(jìn)行互評(píng)學(xué)生的學(xué)習(xí)成績(jī)、所在地域、學(xué)習(xí)環(huán)境等大致相同。解決問(wèn)題的基本思路是將所有學(xué)生首先進(jìn)行分組,也就是將背景大致相同的學(xué)生分成一組,然后在組內(nèi)進(jìn)行學(xué)生互評(píng)。這種作業(yè)互評(píng)分組模式雖然存在缺陷,但仍然不失為一種實(shí)際應(yīng)用中可供參考的作業(yè)互評(píng)分組模式。在一定范圍內(nèi),這種作業(yè)互評(píng)分配模式會(huì)使得學(xué)生所得成績(jī)盡可能的接近學(xué)生的真實(shí)成績(jī)。本文首先簡(jiǎn)要介紹了研究背景,和所運(yùn)用方法的必要性。接著介紹了MOOC平臺(tái)與蟻群聚類算法的相關(guān)基本理論知識(shí)及數(shù)學(xué)模型,第4章是本文重點(diǎn),主要闡述了具體使用蟻群聚類算法來(lái)對(duì)學(xué)生進(jìn)行分組;其中包括學(xué)生分組的問(wèn)題,以及蟻群聚類算法的可行性,和具體分組實(shí)現(xiàn)等。第5章以某高校為例,給出了一個(gè)輕型MOOC平臺(tái)的設(shè)計(jì)框架,以及學(xué)生作業(yè)互評(píng)信息系統(tǒng)的設(shè)計(jì)思路。最后給出了結(jié)論與建議。本文對(duì)MOOC平臺(tái)下的學(xué)生作業(yè)分組研究具有實(shí)際應(yīng)用價(jià)值;此外,在聚類過(guò)程中所給出的多值離散型屬性的距離計(jì)算方法,使得離散屬性量化后距離具有較高的均衡性,也是具有一定的實(shí)際應(yīng)用意義。
[Abstract]:The MOOC(massive open online course platform is generally oriented to the global or a specific group. It is in full swing to impart knowledge to the students through the MOOC network platform, and it is developing rapidly in the global scope. With high-quality teachers, the structure of high-quality curriculum content is its main characteristics. However, there are many problems in MOOC platform, such as the difference of student resources, the source of students, the background of learning work, the difference of learning environment, and so on. These differences will directly lead to the difference of students' learning effect in MOOC platform. In order to promote the students' learning quality and improve the overall teaching quality under the environment of MOOC, it is an effective measure to carry out the homework evaluation among students. Through the students' homework evaluation, we can not only deepen the students' understanding of the course content, but also improve the students' learning effect. This paper also gives an effective solution to the problem that teachers can not correct students' homework one by one under MOOC environment. How to group the students' homework reviews? How to conduct mutual assessment among students? One way is to assign two students randomly to evaluate each other. However, due to the great differences between students in the network environment, there may be insufficient mutual evaluation results, and the difference between the students' mutual evaluation results and the actual results is very big. In this paper, a kind of homework evaluation model based on the same background is put forward, that is to say, the students' achievement, location and learning environment are roughly the same. The basic idea of solving the problem is to group all the students first, that is, to divide the students with roughly the same background into a group, and then to evaluate each other in the group. Although there are some defects in this model, it is still a reference mode in practical application. To a certain extent, this assignment model will make the students' scores as close as possible to the students' real scores. This paper first briefly introduces the research background, and the necessity of the methods used. Then introduced the MOOC platform and ant colony clustering algorithm related basic theoretical knowledge and mathematical model, the fourth chapter is the focus of this paper, mainly describes the specific use of ant colony clustering algorithm to group students, including the problem of student grouping, And the feasibility of ant colony clustering algorithm, and the implementation of specific groups. In chapter 5, taking a university as an example, the design framework of a lightweight MOOC platform and the design idea of student assignment evaluation information system are given. Finally, the conclusions and suggestions are given. This paper has practical application value to the study of student assignment grouping on MOOC platform, in addition, the distance calculation method of multi-valued discrete attributes given in the clustering process makes the distance after quantization of discrete attributes have a higher equalization. Also has certain practical application significance.
【學(xué)位授予單位】：成都理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：G434;TP18

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 袁松鶴;劉選;;中國(guó)大學(xué)MOOC實(shí)踐現(xiàn)狀及共有問(wèn)題——來(lái)自中國(guó)大學(xué)MOOC實(shí)踐報(bào)告[J];現(xiàn)代遠(yuǎn)程教育研究;2014年04期

2 曾曉潔;;美國(guó)大學(xué)MOOC的興起對(duì)傳統(tǒng)高等教育的挑戰(zhàn)[J];比較教育研究;2014年07期

3 李春英;白曉晶;張琳琳;姚遠(yuǎn);;引領(lǐng)網(wǎng)上學(xué)習(xí)過(guò)程的支持服務(wù)實(shí)踐研究與探索[J];中國(guó)遠(yuǎn)程教育;2014年07期

4 楊玉芹;;MOOC學(xué)習(xí)者個(gè)性化學(xué)習(xí)模型建構(gòu)[J];中國(guó)電化教育;2014年06期

5 馬武林;張曉鵬;;大規(guī)模開(kāi)放課程(MOOCs)對(duì)我國(guó)大學(xué)英語(yǔ)課程設(shè)置的啟示研究——以英國(guó)愛(ài)丁堡大學(xué)EDC MOOC為例[J];電化教育研究;2014年01期

6 楊九民;郭曉梅;嚴(yán)莉;;MOOC對(duì)我國(guó)高校精品開(kāi)放課程建設(shè)的啟示[J];電化教育研究;2013年12期

7 陳肖庚;王頂明;;MOOC的發(fā)展歷程與主要特征分析[J];現(xiàn)代教育技術(shù);2013年11期

8 涂皓;;在線教育改變高校教學(xué)模式[J];教育;2013年29期

9 余建波;;三大MOOC平臺(tái)比較及啟發(fā)[J];中國(guó)教育網(wǎng)絡(luò);2013年09期

10 王穎;張金磊;張寶輝;;大規(guī)模網(wǎng)絡(luò)開(kāi)放課程(MOOC)典型項(xiàng)目特征分析及啟示[J];遠(yuǎn)程教育雜志;2013年04期

相關(guān)博士學(xué)位論文 前1條

1 劉菊;關(guān)聯(lián)主義學(xué)習(xí)理論及其視角下的教與學(xué)組織研究[D];東北師范大學(xué);2011年

相關(guān)碩士學(xué)位論文 前3條

1 周騰;基于蟻群聚類算法的客戶細(xì)分研究與應(yīng)用[D];中南民族大學(xué);2013年

2 黃延紅;基于蟻群算法的聚類算法研究[D];電子科技大學(xué);2011年

3 李潔;CSCL中協(xié)作小組分組系統(tǒng)的設(shè)計(jì)與開(kāi)發(fā)研究[D];華南師范大學(xué);2005年

，

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