Remote learning conversion system

Abstract

The invention discloses a remote learning conversion system, which is characterized in that learning indexes are influenced by student abilities and student willingness, and the student abilities comprise online examination scores and case scores; the student willingness comprises login times, time and online learning hand raising time, the students: learning calendars: the students learn according to learning calendar activities, the students need to strictly learn according to time, and corresponding activities can be carried out only when set time is up; depending on the respective activitytime, the learner is notified to finish learning by short messages on the same day; a learning data students can learn online or download videos, audios and document files; personal information:students can see their own learning indexes and rank in classes, and training notifications: administrators send and guide students to log in the system in the form of short messages, and pre-study courses: pre-study data are downloaded for learning, online examination exploring is performed, live broadcast training: the system is logged in for online learning, learning is ended and online examination is realized, and online examination is performed.

Description

technical field [0001] The invention relates to a learning conversion system, in particular to a distance learning conversion system. Background technique [0002] China is currently in a period of rapid development of the Internet economy, and technological innovation has become an extremely important demand for society, which will play a decisive role in future economic growth. Since the 1950s, after more than 60 years of development, machine learning technology has emerged in the analysis and prediction of big data in various industries and fields. The inherent value contained in big data in the Internet era has been continuously tapped. It has attracted great attention from governments, business circles and academic circles. We can conduct all-round and multi-angle mining and analysis of the enterprise industry based on multi-dimensional or single-dimensional data. [0003] For sales risk issues, most financial institutions and enterprises usually use traditional metho...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to solve the above-mentioned problems in the prior art, that is, to solve the problems of low analysis efficiency, low accuracy rate, limited application scenarios and difficult application in the big data environment of sales risk points, and the purpose is to provide remote The learning transformation system solves the above problems

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