Technical training effect monitoring system

Abstract

The invention discloses a technical training effect monitoring system, and the system comprises an input interface which is used for obtaining evaluation data obtained after a student end carries out the corresponding evaluation of a technical training evaluation index according to a preset comment set; the evaluation index is an index capable of evaluating the technical training effect, and the evaluation data represents the effect feedback of the student end on the technical training; the evaluation model is used for processing the evaluation data by utilizing a fuzzy comprehensive evaluation method according to the evaluation indexes and the index weights of the evaluation indexes so as to obtain effect scores of the student ends on technical training; and the display module is used for sorting the corresponding technical training according to the sequence of the effect scores from high to low and outputting the sorted technical training to the man-machine interaction interfaces of the student end, the lecturer end and the management end for display. Compared with manual evaluation of a feedback table for technical training, the evaluation process does not need manual interference, automatic evaluation of the technical training activity effect is achieved, and the evaluation result is accurate, objective and credible.

Description

technical field [0001] The invention relates to the technical field of software development, in particular to a technical training effect monitoring system. Background technique [0002] Technical training activities are more common, and the effect feedback after the activities can reversely promote technical training to be more perfect. At present, feedback forms are generally used to evaluate technical training activities. On the one hand, for the feedback information of trainees, it takes a lot of manpower to conduct data statistics, and it can only be calculated simply, which is not conducive to rich sorting and statistical work. On the other hand, due to the high subjectivity and randomness of human beings, trainees cannot achieve objective and true evaluations, and training supervisors cannot dig data deeply, and it is not convenient to do retrospectives afterwards, let alone provide feedback on lecturers and training activities. Quantitative assessment of organizers....

AI Technical Summary

Problems solved by technology

At present, feedback forms are commonly used to evaluate technical training activities. On the one hand, it takes a lot of manpower to carry out data statistics for the feedback information of trainees, and it can only be calculated simply, which is not conducive to rich sorting and statistical work.

On the other hand, due to human subjectivity and arbitrariness, students cannot make objective and true evaluations, and training supervisors cannot dig deep into data, and it is not convenient to do backtracking afterwards, let alone provide feedback on lecturers and training activities. Quantitative assessment of organizers

If manual calculation is used for comprehensive evaluation, the operation is responsible, time-consuming, and human factors have a lot of intervention, which cannot guarantee the correctness of the total evaluation score

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