【摘要】：隨著科技的進步與發(fā)展,信息時代已經(jīng)從數(shù)據(jù)匱乏發(fā)展為數(shù)據(jù)過載,現(xiàn)在我們所面臨的關(guān)鍵問題不再是如何獲取有用信息,而是如何從海量的信息中有效地提取所需的內(nèi)容,搜索引擎和推薦系統(tǒng)因此應(yīng)運而生,前者主要幫助用戶搜索到所需信息,后者是根據(jù)用戶個性化喜好把內(nèi)容推薦給用戶,但有時候用戶的需求往往是模糊的,即使需求明確,但又有可能存在沒能確切表達的情況,推薦系統(tǒng)剛好就能解決問題所在。在大力發(fā)展職業(yè)教育的大背景下,職業(yè)教學(xué)發(fā)展迅速,信息化的進程突飛猛進,教學(xué)資源在網(wǎng)絡(luò)系統(tǒng)中得到前所未有的共享程度。推薦系統(tǒng)最早應(yīng)用于電子商務(wù)領(lǐng)域,技術(shù)比較成熟。近年來,一些大型的社交網(wǎng)絡(luò)和學(xué)習(xí)交互系統(tǒng)也把推薦技術(shù)應(yīng)用在其網(wǎng)站中,得到公認的成績,但在職業(yè)教學(xué)范圍的使用尚處于摸索階段,因此,我們嘗試以成功應(yīng)用推薦技術(shù)的電商平臺、社交網(wǎng)站和學(xué)習(xí)網(wǎng)絡(luò)的例子為接入點,從其中獲取一些對職業(yè)教學(xué)資源推薦系統(tǒng)建設(shè)的啟迪,研究職業(yè)教學(xué)推薦系統(tǒng)建設(shè)的可行辦法,并主要以職業(yè)教學(xué)課程資源推薦作為重點展開研究。資源推薦系統(tǒng)研究是現(xiàn)代管理工程研究的一個應(yīng)用研究,為資源管理提供了一個新的研究視角。本文是研究推薦系統(tǒng)在職業(yè)教學(xué)資源系統(tǒng)領(lǐng)域的應(yīng)用。首先利用文獻研究法論述了推薦系統(tǒng)相關(guān)思想和理論,明確了推薦系統(tǒng)的本質(zhì),了解了推薦系統(tǒng)的基本要求。然后通過個案分析法,重點研究了以亞馬遜為代表的電商網(wǎng)站、以豆瓣為代表的社交網(wǎng)絡(luò)和以中國知網(wǎng)為代表的學(xué)習(xí)資源網(wǎng)站三種類型網(wǎng)站的推薦系統(tǒng),從中找到推薦系統(tǒng)成功應(yīng)用的啟迪。隨后,在借鑒以上三種類型網(wǎng)站成功應(yīng)用推薦系統(tǒng)經(jīng)驗的基礎(chǔ)上,利用系統(tǒng)學(xué)相關(guān)理論原理研究了個性化職業(yè)教學(xué)資源系統(tǒng)的元素組成以及結(jié)構(gòu)問題,闡述了職業(yè)教學(xué)資源推薦系統(tǒng)的推薦功能和推薦內(nèi)容,使用相關(guān)推薦系統(tǒng)理論,提出可以利用的推薦策略,總結(jié)出以用戶身份特征和行為特征為基礎(chǔ)的,使用系統(tǒng)自動推薦、人工推薦和虛擬學(xué)習(xí)小組的用戶推薦的三大組合推薦策略,并以此為基礎(chǔ)設(shè)計了職業(yè)教學(xué)資源推薦系統(tǒng)的總體架構(gòu)和推薦引擎,按照教育與心理研究方法相關(guān)理論,提出中職學(xué)生的心理特征是缺乏明確的學(xué)習(xí)目標,并針對此特征提出其推薦引擎的設(shè)計思路。最后,按照信息系統(tǒng)工程的結(jié)構(gòu)化方法和系統(tǒng)動力學(xué)的相關(guān)理論,設(shè)計了職教類學(xué)校教學(xué)資源推薦系統(tǒng)和討論了面向教育云的職業(yè)教學(xué)資源推薦系統(tǒng)建設(shè)的相關(guān)問題。
[Abstract]:With the progress and development of science and technology, the information age has developed from lack of data to overloading of data. Now the key problem we face is no longer how to obtain useful information, but how to effectively extract the required content from the vast amount of information. Search engines and recommendation systems have emerged as the times require. The former mainly helps users to search for the information they need, while the latter recommends the content to users according to their individual preferences. However, sometimes the user's needs are often vague, even if the needs are clear. But there may not be a precise expression of the situation, the recommendation system just can solve the problem. Under the background of vigorously developing vocational education, vocational teaching is developing rapidly, the process of informatization is advancing by leaps and bounds, and teaching resources are shared in the network system to an unprecedented extent. Recommendation system was first used in the field of e-commerce, the technology is relatively mature. In recent years, some large-scale social networks and learning interaction systems have also applied recommendation technology to their websites, and have been recognized for their achievements, but the use of the scope of vocational teaching is still in the groping stage, so, We try to use examples of e-commerce platforms, social networking sites, and learning networks that have successfully applied recommendation technologies as access points, from which we can get some inspiration for the building of a recommendation system for vocational teaching resources. This paper studies the feasible methods of constructing vocational teaching recommendation system, and mainly focuses on the recommendation of vocational teaching curriculum resources. The research of resource recommendation system is an applied research of modern management engineering, which provides a new research perspective for resource management. This paper is to study the application of recommendation system in the field of vocational teaching resources system. Firstly, the related ideas and theories of recommendation system are discussed by using the method of literature research, the essence of recommendation system is defined, and the basic requirements of recommendation system are understood. Then, through case analysis, it focuses on the recommendation system of three types of websites, e-commerce websites represented by Amazon, social networks represented by Douban and learning resources websites represented by China knowledge Network. Find out the enlightenment of the successful application of the recommendation system. Then, on the basis of the successful application of the recommendation system experience of the above three types of websites, this paper studies the element composition and the structure of the personalized vocational teaching resource system by using the relevant theory of systematics. This paper expounds the recommendation function and content of the recommendation system for vocational teaching resources, puts forward the recommendation strategies that can be used by using the relevant recommendation system theory, and summarizes the automatic recommendation of the use system based on the user's identity and behavior characteristics. Based on the three combined recommendation strategies of artificial recommendation and user recommendation of virtual learning group, the overall structure and recommendation engine of vocational teaching resource recommendation system are designed. According to the theory of education and psychological research methods, the recommendation engine of vocational teaching resources recommendation system is designed. It is pointed out that the psychological characteristics of secondary vocational school students are lack of clear learning goals, and the design ideas of recommendation engine for this feature are put forward. Finally, according to the structural method of information system engineering and the related theory of system dynamics, the recommendation system of teaching resources in vocational education schools is designed and the problems related to the construction of vocational teaching resources recommendation system oriented to education cloud are discussed.
【學(xué)位授予單位】：廣東技術(shù)師范學(xué)院
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：TP391.3
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本文編號：2453060