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The Research On The Design For Miniature Ideological Moral Course During The Age Of Big Data

Posted on:2017-02-05Degree:MasterType:Thesis
Country:ChinaCandidate:R ZhangFull Text:PDF
GTID:2297330482985905Subject:Education
Abstract/Summary:PDF Full Text Request
With the rapid development of information technology and the cloud era, the arrival of the Internet of things, big data as a new term gradually into the life of people. In cloud computing, data mining, the study analysis, based on the mobile Internet of things the emergence of large data, for the reform and development of the education teaching provides a strong technical support, the advent of the era of big data to promote the education data acquisition, storage, analysis and application. Most educators for large data to the benefits of education are given the affirmation, and in-depth research, improve the education science and applications of big data. Through education "issued by the U.S. department of education in 21010 of the study and analysis of data mining technology to improve teaching and learning: problem description" for the people in education, pointed out the direction of the use of big data, through data mining, data analysis and visualization study to improve the student’s study way, to adapt to the adaptive learning, promote the individualized learning, to achieve the effect of their aptitude. Since 2012, the formal into the education field in China, for the research of the micro class, the class as a new teaching way, from its appearance has aroused widespread attention, the broad masses of people in the education of its also are studied, especially the college teachers, basic education first-line teachers have also has carried on the investigation and research on class, combining the lesson and specific subjects, from many angles, many were studied. Micro thought personal character class as the class in a form of ideological and moral discipline specific application, the study is less, the articles is also very few. And big data combined with micro thought personal character class to study the subject are much rarer. Big data is everywhere, so we in the micro thought personal character class can’t be ignored in the process of development of the era characteristic.The research purpose of this article is to big data technology combined with micro thought personal character class development, find the combining site, thus to provide technical support for the development of ideological and moral lesson micro, micro promote ideological and moral lessons to the successful completion of teaching tasks, improve the students’ ideological and moral level, to improve students’ ideological and moral course grades. Specifically, the purpose of this study include: first, through to the big data and related theory of ideological and moral lesson micro, clarify the related concepts of big data, ideological and moral lesson; Second, through micro thought personal character class under the era of big data analysis of the development opportunities and challenges faced by allowing people to clearly recognize that the era of big data people evaluate thought personal character class development advantages of conditions, including the policy advantage, technical advantages, environmental advantages, etc., so as to improve the enthusiasm of people to develop micro thought personal character class. At the same time, it analyzes the development challenges, let people can clearly recognize the problem, so as to find ways to overcome the problems; Third, through to the big data and the thought personal character class through relevant literature consult and finishing, and connecting with the concrete teaching case, it is concluded that the era of big data specific principles and methods of ideological and moral lesson micro development; Fourth, through the research of this topic can evaluate thought personal character class for people development provides a new train of thought, promote people’s education applications of big data.The author during the study, by looking up the related literature, and literature reading, analysis, comparison and induction, sorting, based on large data, ideological and moral lessons at home and abroad related to relevant books and journal articles, dissertations, network information, the proceedings of the meeting, on the research achievements of predecessors’ study analysis, understand the subject in the research status at home and abroad, sums up the advantages and disadvantages of its research results, so as to lay a foundation for their study. For China’s micro class website micro junior middle school thought moral character class entries view, analyzed and summarized. In the article to the exposition of related ideas in combination with the specific case analysis, through the case analysis, the point of view.The first part, thought personal character class related theoretical definition. This part mainly discusses the connotation of the era of big data, characteristics and the needs of education under the era of big data as well as the connotation of ideological and moral lesson micro to clarify the related concepts, such as paper will lay theoretical foundation for below.The second part, big data era thought personal character class development value. This paper mainly discusses the application of the era of big data micro thought personal character class value, as well as the era of big data thought personal character development opportunities and challenges faced by micro class.The third part, the big data age thought personal character class micro development strategy. This part is the focus of the article, mainly through the analysis of specific case is put forward under the big data era of the development of micro thought personal character class specific principles, and learn from the era of big data characteristics, the teaching platform, data analysis, etc, combined with micro thought personal character class development were described in detail.
Keywords/Search Tags:Big data, Micro-class, Ideological Moral Course
PDF Full Text Request
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