Online learning system with anti-indulgence function

Abstract

The invention discloses an online learning system with an anti-indulgence function. The system comprises multiple terminals with display interfaces, and is characterized in that each terminal comprises a user registration module, an uploading module, a downloading module, an anti-indulgence module, an expression identification module, a voice acquisition and identification module, a storage module, a scoring module and a curriculum synchronization module. The online learning system has the following advantages: the purpose of monitoring is realized by determining whether a learner is at a learning state according to the facial expression of the learner, besides, whether pronunciation of the learner is accurate can also be determined according to the change of a mouth shape of the learner through combination with voice identification, timely correction and guidance are realized, errors of the leaner can also be fed back to the learner so that the learner can correct the errors, and synchronous learning can also be carried out according to the different terminals.

Description

technical field [0001] The invention relates to a learning system and method, in particular to an online learning system with an anti-addiction function. Background technique [0002] Dictionaries are the most familiar and commonly used language learning aids, but they only use words as the medium. Although they are helpful for reading and writing, they cannot directly help listening and speaking. With the continuous development of multimedia technology and voice technology, learning systems that can help various aspects such as listening, speaking, reading and writing continue to emerge. The emergence of software such as listening and writing software has gradually enriched the form and function of learning assistance systems. [0003] However, the shortcomings of these systems are that they can only give an overall evaluation score, and cannot give real-time feedback to learners about specific errors in pronunciation, and learners are only passively accepting. There is n...

AI Technical Summary

Problems solved by technology

[0003] However, the shortcomings of these systems are that they can only give an overall evaluation score, and cannot give real-time feedback to learners about specific errors in pronunciation, and learners are only passively accepting

Failure to organically combine all aspects of language learning, lack of real-time error judgment and feedback

In addition, it is difficult to monitor whether the learners are studying seriously, which leads to the problem of low learning efficiency, and the visual fatigue caused by long-term study is not conducive to the physical and mental health of learners.