Learning state determination system and method

Abstract

The invention provides a learning state determination system and method. The system is composed of an eye movement detecting device and an intelligent terminal. The eye movement detecting device is suitable for detecting eye movement data of a learner within a preset period of time and sending the eye movement data to the intelligent terminal. The intelligent terminal is used for dividing a gazingarea and analyzing a division result and the eye movement data to obtain concentration and / or attention distribution of the learner. The gazing area is divided based on the learning content and the eye movement data and the division result are analyzed to obtain the concentration degree of the leaner, so that the concentration degree of the leaner is observed well. Meanwhile, on the basis of theanalysis of the eye movement data and the division result within the time, the possibility of false determination caused by determination based on the state at a certain time is reduced.

Description

technical field [0001] The invention relates to the technical field of intelligent learning information recording, in particular to a system and method for confirming learning status. Background technique [0002] With the anti-war of science and technology, online education has become a convenient way for people to choose to learn. Then how to understand learners' learning status in online education is extremely difficult to solve. More intelligent methods of acquiring, analyzing, and improving learners' status can well adapt to the needs of online education and artificial intelligence-assisted education in the new era. [0003] At present, the existing technologies mainly rely on face recognition to roughly judge the emotional state of learners, so as to roughly classify their concentration and mental fatigue. There are also some technologies that use data such as eye trackers to model and analyze learners' concentration. It is not combined with its learning tasks, so it...

AI Technical Summary

Problems solved by technology

[0004] The classification of the state of focus refers to fatigue and emotions, which are factors that affect concentration, rather than the limited feedback information of the state of concentration itself, so it is impossible to further adopt new measures to improve concentration in different situations

[0005] The method of face recognition is also unable to penetrate into the inner behavior of learners, and it is easy to be deceived by learners' disguise, such as: daydreaming or staring at textbooks to actually think about other content, etc.

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