Learning monitoring method and device based on usage data of learning product

Abstract

The invention discloses a learning monitoring method and device on the basis of usage data of a learning product. The learning monitoring method comprises the following steps: generating an evaluating element set of the learning product; acquiring current usage data of the learning product on the basis of the evaluating element set; generating a learning diagnosing result according to historical usage data and the current usage data of the learning product; generating a learning optimizing plan according to the learning diagnosing result. Through acquisition of the historical usage data and the current usage data of the learning product on the basis of evaluating elements, the statistic analysis is performed on the usage data to generate the diagnosing result, and according to the diagnosing result, the learning optimizing plan is generated, so that a user can learn pertinently to quickly master weak knowledge contents and consolidate the learning contents so as to efficiently improve the academic performance.

Description

technical field [0001] The invention relates to the field of learning diagnosis, in particular to a learning monitoring method and device based on learning product use data. Background technique [0002] In the existing learning products, there are the following problems: [0003] The diagnostic function is missing. There is no summary of the knowledge points in the textbooks, lack of a more systematic knowledge point structure, only simple accumulation of learning resources, students lack a clear understanding of the overall knowledge structure, and still rely on sea of ​​questions tactics for repeated learning The process did not play the role of strengthening and supplementing the weak, and did not play the most essential significance of learning diagnosis. As a result, the corresponding improvement plan cannot be reasonably arranged according to the diagnostic data results. [0004] The diagnostic sample is single, and the recommended study plan is unreasonable. The ...

AI Technical Summary

Problems solved by technology

Although some learning diagnosis systems can also make learning plans, they lack the corresponding learning reminder, supervision and guidance mechanism, which leads to the inability to improve learning efficiency and academic performance quickly.

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