The Secondary Vocational Students Graduate Tracking Feedback System Based On Network Environment

The training objectives of the secondary vocational school aim to train applied talents for local economic construction. In recent years, the economy develops fast in our country. The enterprise’s requirements for talent are higher and higher because of the the economic transformation and structure adjustment., Most companies prefer comprehensive talents who have not only the skilled operation skill, but also good professional ethics. At the same time, the comprehensive professional abilities, stronger ability of employment and entrepreneurial ability are also important to the enterprise. The current training idea of the secondary vocational school is:reform the curriculum system in-depth, make the professional course teaching plan and syllabus meet current enterprise’s need, strive to provide professional qualified talents for the economic development of the region, gradually train talents to meet the enterprise’s demand directly. Therefore, in order to provide skilled talents with good ability for the enterprise, better serve the economic society, the school must track the graduate timely. Then the school know the demand gap between the specialized courses teaching plan and syllabus and the enterprise. According to it, the school can dynamically adjust their professional Settings, strengthen the training goals of students’various skills.Graduate information feedback is a process of information back. It’s an important basis for the secondary vocational schools to understand if their own teaching methods is reasonable. The process is just like human self regulating system that go through the existence and development of secondary vocational schools. Through multiple channels of information feedback they can know the social adaptability and competitiveness of graduates. They can also know the recognition of the employees and society at the same time. Thus they can improve the existing education teaching mode, provide more useful talents for the society, improve the teaching quality of secondary vocational schools and overall reputation, which makes the secondary vocational schools get sustainable development.Over the years, the number of the electronics school graduates is countless. They made an indelible contribution for the society. The school also accumulated a certain amount of employment information. For many times the leaders at all levels want to put these information into processing, statistics, induction, summary, and even they can provide guidance for the future education system reform, build a set of functions to improve secondary vocational graduates employment service system. But it is limited by various conditions. For a long time it only rely on school graduating class teacher who contacts the graduates by telephone, SMS and other traditional means of access. Then they summarize the information by means of EXCEL spreadsheet and submit again. Unavoidably it produces all sorts of problems, including false information, expired, hard to query and update trival, etc. It’s hard to meet the management requirement. There is nothing help to the guiding role of education reform. In the present situation of computer and network technology development, the era of big data gives us a new inspiration. The author thinks they should use mature computer technology, and the online real-time system for data management.A variety of users can easily renew their information through the Internet within their respective jurisdiction and browser. The update information system can not only be applied to electronics school, but also extend to other electronic schools even through the way of cloud computing. Through collection and analysis of the vast amounts of data, they can use data mining technology in more advanced applications, and then guide the reform education system, teaching methods, etc.In this article, the author mainly propose solutions for the earlier secondary vocational students graduate tracking feedback system. For the late cloud computing, big data analysis and mining, it’s the research object of the future.