Applying big data to draw the campus

With the continuous development of big data technology, it brings unprecedented innovations and challenges to the development model and decision-making of all walks of life. In the education industry, in addition to reflecting all the macro functions of traditional data, big data can also collect detailed microscopic analysis. Personalized data. At the same time, according to the specific work needs, more ways and methods can be derived, so that the management services of the entire university are smoother.

Change teaching management mode

Nowadays, with the support of modern information technology, the new management model of big data as a carrier has greatly realized the sharing and full utilization of educational resources, and integrated the results of data analysis into the daily management and service of the school, not only providing more teachers and students. Fine and intelligent services also make teaching management easier and more efficient.

In 2012, the Office of Education Technology of the US Department of Education released “Teaching and Learning through Education Data Mining and Learning Analysis: A Brief Introduction to Issues”, and proposed some basic ways to apply data mining and learning analysis techniques to solve practical problems in teaching, and clarified the learning process. Solutions to the eight domain problems: learner knowledge model, learner behavior modeling, learner learning experience modeling, learner learning archives, knowledge domain modeling, learning factors and design principles analysis, trend analysis, adaptability and personalization Analysis and so on. Big data technology can process high-speed real-time data in large quantities. Through the application of relevant tools for learning and analysis and big data technology, teachers can obtain student learning behavior data in time.

Imagine that if the system can record the learner's learning process, then the learning situation can be seen at a glance, including not only the progress of the study, the completion of the work, but also the network activities. These contents can be displayed in the form of text data and graphic images. Through analysis, teachers can deeply understand the learner's behavior patterns, and then adjust the teaching methods to maximize the teaching guidance for the learners.

Understand student growth

Students produce a variety of data during school, including eating, shopping, library borrowing, and dormitory access... In the past, these data were difficult to correlate, through big data technology, data between various businesses. The island was opened. Through analysis, it can be found that the daily behavior of students can be “painted” through data.

For example, the University of Electronic Science and Technology uses big data technology to research and design a unified campus big data analysis decision-making platform, which can not only provide convenient, efficient and accurate personalized guidance and services for campus teachers and students, but also can carry out precision and intelligence for schools. The teacher and student services provide a total solution. Based on this platform, the University of Electronic Science and Technology has developed a number of mature application services, such as student portraits, precision funding, lost alarms, teacher portraits, research exploration, financial evaluation and other systems. The student portrait uses the standardized behavior and content data provided by the data center, including course scores, library borrowing, card consumption, etc., using big data analysis methods to quantify students' regularity, effort, learning skills, economic status, social relationships, etc. The characteristics of the dimension reveal the growth trajectory of the students. Based on the predictive model, the students' academic performance, employment tendency and psychological status are predicted, which can provide an important basis for the school to personalize and accurately educate and guide the students.

Improve teaching and research

In the past, when people evaluated the quality of teachers' teaching, there were students scoring, also supervising and appraising, and peer review. These were often subject to human and material conditions, and evaluations were often partial and random. In the era of big data, colleges and universities can conduct real-time, dynamic and continuous monitoring of the whole process in a goal-oriented and problem-driven situation, making classification management more refined and standardized. For example, Xi'an Jiaotong University integrates teaching quality operation data sources (such as student card card attendance records, teaching video data) and evaluation data sources (such as students, supervision and evaluation, leadership lectures, teaching management department monitoring records, etc.) to establish The teaching quality monitoring big data platform.

In addition to the training of personnel, scientific research is also a very important part of the functions of colleges and universities. Through big data analysis technology, we can find out the hotspots of current research in massive data, use the big data algorithm to conduct mining analysis, and finally effectively predict scientific research hotspots, and combine the current situation and characteristics of university discipline construction to analyze the frontier research directions of various disciplines. . At the same time, data mining of experimental records can be carried out to obtain better research strategies.

Of course, there is still a long way to go to expand and deepen the use of big data to achieve education and teaching innovation.

Standard Metal Lockers

Where can I get standard Metal Lockers for sale?

Standard metal lockers means traditional powder coated steel lockers.
In public environments,you will find School Lockers, Staff Lockers , Small Lockers are this series.
These types of cabinets are produced in different sizes and colors and are mostly made of metal and all have a key type lock, code, electric lock or so on.
Wide is a common widths about 12 inches (300mm.), and 15 inches (380mm.) & 18inches (450mm) have become more common recently.
Most standard lockers are approximately 18 inches (450mm.) deep, and 16inches(400mm) is very common now.
The height is standard, usually about 6 feet (1850mm.), so this does not vary either, unless non-standard height is required.

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