Research On Construction And Application Of Learning Analysis Framework

With the development of information technology in education, the information and data of education has became a treasure in the field of education. Just because the learning analysis technology emerged that those data has been provided an good opportunity to bring their best possible value into play. This paper is based on the researches that has been metioned above and the theoretical basis of data mining, academic analysis and so on. The learning analysis framework has been built according to the practical situation and checkout via cases. This paper meant to summarize the existing problems that in the application, and analyzed its development trend in the future.Compared with the research status at home and abroad, the demastic research still has been in a start lever. The practical analysis against periodical education was few. In particular, the application framework is unclear. So, the author use six elements of the learning analysis, the data objects(who), the data home(where), kit(which tools), student learning,(what do you do), audience(to disappearance), the effect(with what effect), construction a framework based on the learning analysis of "6 w".Firstly, I adjusted and structure the data home and kit within the framework, which were mainly based on data digging and academic analysis. Part in building a kit is also the focus of this paper, mainly from development, expert, mass.Secondly, I took the business intelligence as a theoriotical foundation to design the intervention section in the part of framework. Thus, have a framework with the academic analysis, data mining, business intelligence.Thirdly, according to the above learning analysis frame and its application in specific case, collect data from the Wiki platform, and the visualization analysis of data by Node XL, Teachers can teaching according to the results.Finally, in the process of application, the author though that need think about problems,(1)The leak of personal privacy;(2)The spread of information security awareness;(3)the ownership of analysis data;(4)Technical standards and norms of learning analysis;(5)Moral standards with data objects and staff;(6)skill requirements of operator,when we use it.