With rapid development of science and technology, the construction of campus has become a trend, and one of the most important parts is the need to establish a big data analytics platform based on campus characteristics, collect massive raw data generated by campuses, extract and analyze the information that is helpful to school management, and provide statistical analysis and decision-making basis for digital management of campuses.
Education big data is used to integrate all business scenarios inside and outside a school, embed data into day-to-day business workflow of a campus, and conduct association analysis from various dimensions such as teaching resource operation, student portrait, awards and evaluation, so as to provide decision-making basis for comprehensive management of students and the improvement of campus business.
1.When it comes to the operation of teaching resources, it allows users to better regulate and control students' learning and entertainment resources, so that each student's learning and entertainment life can be fully customized.
2.When it comes to student portrait, it allows users to compare student learning history and to analyze student learning curves.
3.When it comes to evaluation, it allows users to allocate the scholarship share for each class, allocate evaluation resources appropriately and fairly.
Powerful data collection, to accept and integrate various campus data;
Efficient data mining to implement multi-dimensional data drilling fast and efficiently;
Fast data analytics, suitable for hierarchical visualization at all levels to campus leaders;
Flexible architecture scalability, enabling users to customize functions as needed.
There are many kinds of campus information management systems, such as market shopping, canteen consumption, dormitory access control, library borrowing and so on. With the construction of information infrastructure, data scale is growing geometrically.
In the process of long-term information infrastructure construction, the number of systems and suppliers is increasing. However, uniform data standards and specifications are unavailable, resulting in many data islands. It takes much manpower and development time to transform existing systems.
A smart campus is oriented to the vast faculty and students, and analysis is required from the perspective of teaching, learning, production and research. It is also required to meet analysis needs of different user groups at many key milestones.
Analyze students' trajectory of motion from the perspective of dormitory management to ensure students' safe entry and exit;
Avoid the waste of any manpower from the perspective of students' spending and you care about students' lives;
Evaluate students fairly from the perspective of awards and evaluations, analyze and screen top students comprehensively;
Analyze the quality of teaching flexibly from the perspective of resource management to ensure appropriate allocation of resources.