Traditional learning management and operation mainly rely on manual work, from demand investigation, course registration, notice of starting classes, student performance, homework, examination evaluation and so on. All these things have to be done manually, and the workload is very heavy and the data statistics are also very troublesome. In terms of effect measurement, limited by the traditional form and personnel's energy, traditional learning generally uses simple data, such as training attendance, average class hours, attendance rate, students' evaluation and scoring after class, or the passing rate of some exams, etc., so it is difficult to be streamlined and digitized.
What is more complicated is that in most enterprises, the functions related to employee training are scattered in various departments and units, and the process control relies too much on the cooperation of various institutions, which leads to the difficulty of process control, the lag of feedback of data and problems, the difficulty of timely adjustment, and the constant improvement afterwards.
For training managers, most of the energy is spent sorting out all kinds of data and information, processing all kinds of forms and reports, and coordinating all kinds of administrative affairs, which is complicated and inefficient; It is difficult to focus on improving the efficiency of training management, such as expansion and innovation.
In digital learning, the enterprise online learning platform integrates the functions of training planning, training plan management and multi-task combination into the whole process of training through IDP, realizing the whole process of IT control, and improving the timeliness and user-friendliness of process control through timely data feedback and visual presentation.
In addition, the enterprise online learning platform provides template design, batch processing and data import functions for repetitive and fixed work scenarios; For a large number of interactive work scenarios, such as automatic notification, registration, sign-in, attendance and evaluation of training courses, transactional work items are effectively reduced, thus reducing the transactional work pressure of training managers.
At the same time, through big data mining, presented in the form of data kanban, we can see more learning data, data association and data analysis from different latitudes and angles, so as to gain in-depth insight into some business problems, provide a very direct reference for business strategy optimization and performance intervention, and realize a closed-loop learning from business to business.
Thus, enterprise online learning platform has played a positive role in cost control, efficiency improvement and students' learning experience, which is the general trend of enterprise training in the future.