基于大数据的在线学习预警机制设计

发布时间：2018-04-10 22:39

本文选题：在线学习 + 学习预警　；参考：《江苏师范大学》2017年硕士论文

【摘要】：随着网络技术和电子产品的飞速发展,在线学习以其独特的方便性逐步进入人们的生活,并受到了社会各界的广泛关注,它将为构建全民学习型和终身学习型社会提供良好的条件。与此同时,在线学习也带来了一系列负面影响,如致使学习者注意力很难集中导致学习质量难以保障、教师很难全面发挥自身优势、学习者的行为难以控制以及教学评价不客观等。学习预警是解决上述问题的有效途径,构建基于教育行为等的大数据支持的在线学习预警机制是在线教育研究与实践领域亟待解决的重要问题。本研究旨在通过在线学习预警机制设计提升在线学习的学习效果及学习质量。文章的主要内容要点包括:(1)构建在线学习预警模型;(2)设计在线学习预警机制;(3)在线学习预警原型设计与检验。由此,本研究的主要内容如下:在模型构建部分,本研究通过文献研究法,首先综述在线学习的研究现状和发展趋势,阐述在线学习预警的内涵,综述在线学习存在不足与现有在线学习预警系统,阐述各自优势与不足;接着阐述学习分析的研究现状及发展趋势,指出有关学习分析的研究从理论层面上证明了开发“预警系统”的可能性并且为在线学习预警的实现提供技术支持和工具保障,为在线学习预警模型的构建指明方向。通过案例分析与网络调研等方法对国内外在线学习预警系统进行分析比较,总结归纳出在线学习预警框架,根据在线学习预警框架结合学习分析模型构建出在线学习预警的功能及过程模型。本研究从知识、行为、情绪三方面全方位构建在线学习预警功能模型;从在线学习预警的具体实现步骤角度构建在线学习预警的过程模型。在机制设计部分,本研究通过案例分析以及设计研究的方法以在线学习预警模型为基础,分别设计知识掌握程度预警机制、行为预警机制和情绪预警机制。在各机制设计当中,首先根据在线学习预警模型设计在线学习预警机制的整体流程,之后还要对机制的各要素分别进行设计,其中包括预警数据的采集、预警算法的确定、预警方式的选择、预警信息的呈现等。这一部分为在线学习预警原型的开发与设计打下坚实的基础。在原型设计与检验部分,本研究通过快速原型开发的方法,根据在线学习预警机制的相关内容采用Axure8.0开发在线学习预警原型,邀请一些学习者模拟试用在线学习预警原型,之后通过访谈、问卷等手段收集学习者对试用过程的感受以及原型存在的不足,接下来根据学习者的反馈对原型进行修改完善。
[Abstract]:With the rapid development of network technology and electronic products, online learning has gradually entered people's life with its unique convenience, and has been widely concerned by all walks of life.It will provide good conditions for the construction of learning for all and life-long learning society.At the same time, online learning also brings a series of negative effects. For example, it is difficult for learners to focus their attention on learning quality, and it is difficult for teachers to give full play to their own advantages.Learners' behavior is difficult to control and teaching evaluation is not objective.Learning early warning is an effective way to solve the above problems. The construction of an online learning warning mechanism supported by big data based on educational behavior is an important problem to be solved urgently in the field of online education research and practice.The purpose of this study is to improve the learning effect and quality of online learning through the design of online learning warning mechanism.The main points of this paper include: (1) to construct an online learning early warning model: (2) to design an online learning early warning mechanism and (3) to design and test the prototype of online learning early warning.Therefore, the main contents of this study are as follows: in the part of model construction, this research firstly summarizes the current research situation and development trend of online learning, and expounds the connotation of online learning early warning.This paper summarizes the deficiency of online learning and the existing warning system of online learning, expounds their respective advantages and disadvantages, and then expounds the present research situation and development trend of learning analysis.It is pointed out that the research on learning analysis proves theoretically the possibility of developing "early warning system" and provides technical support and tool support for the realization of online learning early warning, and points out the direction for the construction of online learning early warning model.Through case analysis and network investigation and other methods to analyze and compare the domestic and foreign online learning early warning system, summed up the online learning early warning framework,According to the framework of online learning early warning and learning analysis model, the function and process model of online learning early warning are constructed.This study constructs the online learning early warning function model from three aspects of knowledge, behavior and emotion, and constructs the online learning early warning process model from the perspective of the concrete realization steps of online learning early warning.In the part of mechanism design, based on the online learning early warning model, this study designed the early warning mechanism of knowledge mastery degree, behavior warning mechanism and emotional early warning mechanism through case analysis and design research methods.In the design of each mechanism, first of all, according to the online learning early warning model to design the overall process of online learning early warning mechanism, and then to design the various elements of the mechanism, including the collection of early warning data, the determination of early warning algorithm.The choice of early warning mode and the presentation of warning information.This part lays a solid foundation for the development and design of online learning early warning prototype.In the part of prototype design and verification, this research adopts the method of rapid prototyping to develop online learning early warning prototype by Axure8.0, and invites some learners to simulate and try online learning early warning prototype.Then through interviews, questionnaires and other means to collect learners' experience of the trial process and the shortcomings of the prototype, then according to the feedback of learners to modify the prototype.
【学位授予单位】：江苏师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G434

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