职业教学资源推荐系统的研究
发布时间：2019-04-03 08:17
【摘要】：随着科技的进步与发展,信息时代已经从数据匮乏发展为数据过载,现在我们所面临的关键问题不再是如何获取有用信息,而是如何从海量的信息中有效地提取所需的内容,搜索引擎和推荐系统因此应运而生,前者主要帮助用户搜索到所需信息,后者是根据用户个性化喜好把内容推荐给用户,但有时候用户的需求往往是模糊的,即使需求明确,但又有可能存在没能确切表达的情况,推荐系统刚好就能解决问题所在。在大力发展职业教育的大背景下,职业教学发展迅速,信息化的进程突飞猛进,教学资源在网络系统中得到前所未有的共享程度。推荐系统最早应用于电子商务领域,技术比较成熟。近年来,一些大型的社交网络和学习交互系统也把推荐技术应用在其网站中,得到公认的成绩,但在职业教学范围的使用尚处于摸索阶段,因此,我们尝试以成功应用推荐技术的电商平台、社交网站和学习网络的例子为接入点,从其中获取一些对职业教学资源推荐系统建设的启迪,研究职业教学推荐系统建设的可行办法,并主要以职业教学课程资源推荐作为重点展开研究。资源推荐系统研究是现代管理工程研究的一个应用研究,为资源管理提供了一个新的研究视角。本文是研究推荐系统在职业教学资源系统领域的应用。首先利用文献研究法论述了推荐系统相关思想和理论,明确了推荐系统的本质,了解了推荐系统的基本要求。然后通过个案分析法,重点研究了以亚马逊为代表的电商网站、以豆瓣为代表的社交网络和以中国知网为代表的学习资源网站三种类型网站的推荐系统,从中找到推荐系统成功应用的启迪。随后,在借鉴以上三种类型网站成功应用推荐系统经验的基础上,利用系统学相关理论原理研究了个性化职业教学资源系统的元素组成以及结构问题,阐述了职业教学资源推荐系统的推荐功能和推荐内容,使用相关推荐系统理论,提出可以利用的推荐策略,总结出以用户身份特征和行为特征为基础的,使用系统自动推荐、人工推荐和虚拟学习小组的用户推荐的三大组合推荐策略,并以此为基础设计了职业教学资源推荐系统的总体架构和推荐引擎,按照教育与心理研究方法相关理论,提出中职学生的心理特征是缺乏明确的学习目标,并针对此特征提出其推荐引擎的设计思路。最后,按照信息系统工程的结构化方法和系统动力学的相关理论,设计了职教类学校教学资源推荐系统和讨论了面向教育云的职业教学资源推荐系统建设的相关问题。
[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.
【学位授予单位】：广东技术师范学院
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TP391.3
，
本文编号：2453060
[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.
【学位授予单位】：广东技术师范学院
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TP391.3
，
本文编号：2453060
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