Network crawler data mining-based online course teaching quality assessment management system

Abstract

The invention discloses a network crawler data mining-based online course teaching quality assessment management system. The system comprises a crawler collection unit, a data resource pool, an indexextraction and text analysis unit, an assessment system and an application system; online platform interaction information is collected by utilizing a crawler technology; multisource data is subjectedto data integration and data auditing and cleaning to form the data resource pool; dimension indexes with business values and statistical meanings are assessed and screened; and upper dimensions areintegrated and extracted based on the processed data to form a complete assessment system from top to bottom, and an assessment result is subjected to display output and scene application in a systemmode. Course construction data, course browsing data, teaching research activity data, teacher-student interaction data, student learning behavior data and student learning outcome data are fully fused; the course teaching quality is subjected to scientific assessment and efficient output display in the system mode; quantitative quality assessment and advantage disadvantage analysis of various online courses are effectively finished; and improvement directions are provided directly for various courses.

Description

technical field [0001] The present invention belongs to IPC classification G06F electrical digital data processing or G06Q specially applicable to the teaching quality evaluation implementation method improvement technology in the data processing system or method for the purpose of education prediction, and relates to the fields of web crawler, text mining, data mining, etc., especially based on Web crawler data mining online course teaching quality evaluation management system. Background technique [0002] Online education is a teaching method with the network as the medium. Through the network, students and teachers can carry out teaching activities even if they are thousands of miles apart; in addition, with the help of network courseware, students can also study anytime and anywhere, which truly breaks the constraints of time and space. Online distance education is the most convenient way of learning for those who are busy with work and have irregular study time. [00...

AI Technical Summary

Problems solved by technology

[0012] Chinese patent application 201510168149.5 discloses an implementation method of campus personalized handheld service and user behavior habit analysis. The invention belongs to the field of Web data collection and big data analysis. In order to improve the convenience and practicability of the campus management system, make up for the campus attendance method Single, single identification method, poor mobility, poor data synchronization, high cost and other shortcomings, providing guarantee for research on student behavior habits

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