A smart education platform and method based on virtual reality multi-source deep interaction

Abstract

The invention relates to a smart education platform and method based on virtual reality multi-source deep interaction, including a big data-based education resource server, a virtual reality display server, a relay server, a data communication network, an education service terminal, and a big data-based education resource server. The resource server and the virtual reality display server are connected through a relay server, and the relay server establishes a data connection with the education service terminal through a data communication network. The use method includes system assembly, teaching activities and teaching interaction steps. The invention can effectively meet the needs of remote teaching activities in various complex environments; the learning state is analyzed through the collected eye movement information of the students, and the learning attention and fatigue of the students are analyzed and predicted. Attention and fatigue adjust the teaching plan and content, so as to effectively meet the targeted teaching activities according to the characteristics of the students, and correct and cultivate the learning habits of the students.

Description

technical field [0001] The invention relates to a smart education platform and method based on virtual reality multi-source deep interaction, and belongs to the technical field of online distance education. Background technique [0002] At present, with the wide application and promotion of distance education in the market, it is found in the actual distance teaching activities that the currently used teaching systems are often based on traditional computers, intelligent communication terminals and other equipment. The corresponding teaching resources are obtained from the remote server to meet the learning needs of students. Although it can meet the needs of use to a certain extent, on the one hand, students are often in a unilateral state of receiving teaching resources during the learning process. There is a lack of effective information exchange among related students in the same teaching system, and it is also impossible to adjust the learning environment and monitor th...

AI Technical Summary

Problems solved by technology

[0002] At present, with the wide application and promotion of distance education in the market, it is found in the actual distance teaching activities that the current teaching systems are often based on traditional computers, intelligent communication terminals and other equipment, from the teaching resources equipped The corresponding teaching resources are obtained from the remote server to meet the learning needs of the students. Although it can meet the needs of use to a certain extent, on the one hand, the students are often in the state of unilaterally receiving teaching resources during the learning process. In the same teaching system, there is a lack of effective information exchange among relevant students, and at the same time, it is impossible to adjust the learning environment and monitor the learning status of students according to the learning needs of students, which leads to monotonous and boring teaching activities, and relatively poor teaching efficiency and quality. On the one hand, in the teaching process, the current learning system cannot accurately analyze and judge the learning ability, learning needs and learning habits of each student, so it is impossible to accurately match the teaching resources to the learning needs of each student, which further affects the learning ability of students. Distance learning efficiency and learning quality

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