Entire process quality evaluation system and method

Abstract

The invention discloses an entire process quality evaluation system and an entire process quality evaluation method. The method comprises the following steps that: a teaching end receives evaluation contents input by a user; the teaching end transmits the evaluation contents to a plurality of learning end; each learning end performs feedback on the evaluation contents to obtain fed-back process data; each learning end transmits the process data to a cloud server; the cloud server performs analysis processing on the process data by utilizing a data mining technology, and transmits a processing result to the teaching end; and the teaching end displays the processing result. By the system and the method, the massive learning process data information of learners can be processed, a teacher and an educational leader can be helped to improve teaching and learning in real time, and the teaching and learning data information of school education can be monitored in real time.

Description

technical field [0001] The invention relates to a data analysis system and method, in particular to a whole-process quality evaluation system and method. Background technique [0002] With the development of the network, education and learning are becoming more and more networked. Using the Internet to conduct educational and learning activities has become an interactive way of education and learning that is widely used by educators and learners. Various educational and learning websites have emerged as the times require. However, Most of the existing education and learning websites overemphasize learners' autonomy, while ignoring the evaluation and monitoring of learners' learning activities and learning effects. Educators cannot adjust the teaching content according to learners' learning conditions, so it is difficult to satisfy learners. Therefore, it is an important means to improve the quality of teaching that educators evaluate their educational results in a timely man...

AI Technical Summary

Problems solved by technology

[0002] With the development of the network, education and learning are becoming more and more networked. Using the Internet to conduct educational and learning activities has become an interactive way of education and learning that is widely used by educators and learners. Various educational and learning websites have emerged as the times require. However, Most of the existing education and learning websites overemphasize learners' autonomy, while ignoring the evaluation and monitoring of learners' learning activities and learning effects. Educators cannot adjust the teaching content according to learners' learning conditions, so it is difficult to satisfy learners. Therefore, it is an important means to improve the quality of teaching that educators evaluate their educational results in a timely manner and adjust the teaching content in a timely manner according to the evaluation results.

[0003] However, most of the existing educational evaluations use the traditional method, that is, the educator assigns teaching assignments to the learners, analyzes according to the situation of the learners' completion of the teaching assignments, understands the learners' learning situation, and then adjusts according to the learners' learning situation. Teaching content, although this traditional educational evaluation method can achieve certain results by relying on the experience of educators, it has the following disadvantages: this simple evaluation method often leads to simple processing of massive data, and the information obtained by educators is only a small amount Yes, a large amount of effective information is wasted in this process, and educators cannot accurately obtain the evaluation results, so that the adjustment of teaching content cannot fully meet the needs of learners, and it is impossible to improve teaching in real time

[0004] To sum up, it can be seen that the traditional educational evaluation methods in the prior art have the problem of being unable to obtain more accurate evaluation results due to the waste of massive information. Therefore, it is necessary to propose improved technical means to solve this problem

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