Multi-level automated assessing and training integrated service method and system

Abstract

The invention provides a multi-level automated assessing and training integrated service method and system. The method comprise the first step of establishing a question bank, the second step of extracting test questions in line with test paper composition setting parameters from the question bank according to a preset test paper composition strategy to form appointed test papers, the third step of pushing the appointed test papers to question answering clients and calculating the grades of final papers when the final papers, fed back by the question answering clients, filled in test question answering information are received to figure out the grades of the test papers, the fourth step of establishing a capability assessing model, the fifth step of calculating assessing index scores of all terms of capacity, and the sixth step of pushing obtained learning resources to learning clients. By the utilization of the method and system, the learning and training mode is automated in the whole process, and a learning effect and learning efficiency are improved. In addition, as human intervention is not required in the assessing process, the credibility of assessing results is improved, and the assessing results can more objectively, truly and comprehensively reflect the capacity of assessed persons. Besides, the learning effect and learning efficiency are further improved.

Description

Technical field [0001] The invention belongs to the technical field of computer applications, and specifically relates to a multi-level automated evaluation training comprehensive service method and system. Background technique [0002] With the continuous development of computer technology, the application of computer-assisted teaching in education is becoming more and more far-reaching. In modern teaching systems, ability assessment and ability training through the Internet have been widely adopted. However, the current evaluation system requires human intervention during the evaluation, resulting in low credibility of the evaluation results obtained, and unable to objectively, truthfully and comprehensively reflect the ability of the evaluated person. In addition, the existing evaluation system and training system are independent of each other. After the evaluation, it is necessary to manually obtain the learning resources stored in the training system, thereby prolonging the...

AI Technical Summary

Problems solved by technology

However, the current evaluation system requires human intervention during the evaluation, resulting in low credibility of the evaluation results obtained, which cannot objectively, truly and comprehensively reflect the ability of the person being evaluated

In addition, the existing evaluation system and training system are independent of each other. After the evaluation, the learning resources stored in the training system need to be manually obtained, which prolongs the acquisition cycle of learning resources, greatly reduces the learning efficiency, and cannot quickly obtain good results. learning effect

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