基于iOS的个性化学习支撑服务平台研究

发布时间：2018-12-31 18:55

【摘要】：随着教育改革的深入和科学技术的快速发展,教育发展也越来越多元化。计算机信息技术在教育中应用比重也越来越大,出现了以远程学习、移动学习等为代表的网络学习。然而,对于仍处在以课堂教育为主的学生而言,网络学习还存在着诸如无法深入课堂,提供个性化学习服务等缺点。因此,研究针对课堂教学的个性化学习服务平台,为追求个性化学习提供支撑,成为当前教育研究和关注的热点。大数据及移动技术的发展与广泛应用,大大促进了信息技术融入传统课堂教学中的速度。以大数据理论为理论支撑,以移动技术为支撑,在课堂教学中,为学生提供个性化学习服务成为可能。论文在个性化学习理论研究的基础上,首先,分析个性化学习的特点和影响学习效果的主要因素;其次,建立个性化学习支撑服务平台,基于本体建立学习资源和知识体系模型,并利用数据挖掘建模技术,建立资源的个性化推荐模型;最后,结合教学过程中产生的问题和需求,设计实现基于iOS的移动自主学堂系统。通过该系统,为学生提供个性化学习服务,提高课堂教学效率。论文的主要研究内容如下:(1)分析个性化学习的特点,及影响个性化学习的因素,为建立个性化学习平台做理论铺垫。(2)构建个性化学习平台模型,细化个性化学习内容。在构建模型的过程中,基于本体建立学习资源元数据描述模型,及中学知识体系模型,并用OWL语言描述。为平台数据分析提供支持。(3)在对学生和学习资源双重聚类分析的基础上,设计协同过滤算法,建立学习资源个性化推荐模型。(4)开发基于iOS的自主学堂系统。
[Abstract]:With the deepening of educational reform and the rapid development of science and technology, the development of education is becoming more and more diversified. The application of computer information technology in education has become more and more important, and the network learning represented by distance learning and mobile learning has emerged. However, for the students who are still in the classroom education, the network learning still has some shortcomings, such as unable to go deep into the classroom and provide individualized learning services. Therefore, the research of individualized learning service platform for classroom teaching has become the focus of educational research and attention. The development and wide application of big data and mobile technology greatly promote the speed of information technology in traditional classroom teaching. Taking big data's theory as theoretical support and mobile technology as support, it is possible to provide individualized learning services for students in classroom teaching. On the basis of the study of individualized learning theory, firstly, this paper analyzes the characteristics of individualized learning and the main factors that affect the learning effect. Secondly, the individualized learning support service platform is established, the learning resources and knowledge system model is established based on ontology, and the personalized recommendation model of resources is established by using data mining modeling technology. Finally, a mobile autonomous school system based on iOS is designed and implemented according to the problems and demands in the teaching process. Through this system, we can provide individualized learning service for students and improve the efficiency of classroom teaching. The main contents of this paper are as follows: (1) analyzing the characteristics of individualized learning and the factors that affect it, and making a theoretical foundation for the establishment of individualized learning platform. (2) constructing a model of individualized learning platform. Refine the content of personalized learning. In the process of constructing the model, the learning resource metadata description model and the middle school knowledge system model are established based on ontology, and the model is described by OWL language. (3) based on the dual clustering analysis of students and learning resources, a collaborative filtering algorithm is designed to establish a personalized recommendation model for learning resources. (4) an autonomous school system based on iOS is developed.
【学位授予单位】：河南师范大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：G434

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