Student learning habit analysis system based on big data

An analysis system and big data technology, which is applied in the field of student learning habit analysis system, can solve the problems of little student behavior data collection, not rich data, non-standard, etc.

Inactive Publication Date: 2022-07-29
徐晋
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AI Technical Summary

Problems solved by technology

[0003] In the prior art, predicting students' learning behavior is a relatively complicated matter. The main reason is that the collection of student behavior data is relatively small, and an alarm data model cannot be established, and the collected data is not rich, standard, and incomplete; Then predict the behavior of students, intervene in

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  • Student learning habit analysis system based on big data

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Embodiment Construction

[0036] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0037] like figure 1 As shown, a big data-based student learning habit analysis system includes a teacher terminal, a student terminal, an authentication module, an online monitoring module, a behavior analysis module, a behavior evaluation module, a controller, a cloud platform, a course auxiliary module, and a teaching analysis module. ;

[0038] The teacher terminal and the student terminal are respectively connected with the authentication module, and the authentication module is used to verify the l...

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Abstract

The invention discloses a student learning habit analysis system based on big data, which relates to the technical field of online teaching and comprises a behavior analysis module, a behavior evaluation module, a course auxiliary module and a teaching analysis module. The behavior analysis module is used for carrying out bad learning behavior identification through a learning behavior detection model; the behavior evaluation module is used for performing learning deviation coefficient analysis on the student according to the identification result and reminding the student to concentrate on learning in time; the teaching analysis module is used for acquiring learning deviation coefficients of all students in real time and performing teaching deviation analysis; if the teaching deviation value is larger than or equal to the teaching threshold value, a teacher is reminded to change the teaching content or the teaching mode of the current teaching course, so that the teaching quality and efficiency are improved; and the course auxiliary module is used for analyzing course preferences of the students according to the course learning records, judging whether the students need to be subjected to extracurricular tutoring or not, providing correct guidance for healthy development of the students, and preventing the students from deviating from the course.

Description

technical field [0001] The invention relates to the technical field of online teaching, in particular to a system for analyzing students' study habits based on big data. Background technique [0002] Students are the main body of teaching activities, and classroom teaching is the most important part of students' learning process. How students play the main role in teaching activities directly affects the quality of teaching. Monitoring students' learning behavior is the most effective and direct method to analyze students' learning process. Therefore, it is the key to improve the quality of talents to study and analyze the current situation of students' learning by collecting and recording their learning behaviors, and to solve them in a targeted manner. [0003] In the prior art, the prediction of students' learning behavior is a relatively complicated matter, mainly because the collection of student behavior data is relatively small, an alarm data model cannot be establi...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/20G06V40/20G06F21/32G06N3/08H04N5/225H04N7/18
CPCG06Q10/0639G06Q50/205G06V40/20G06F21/32G06N3/084H04N7/18H04N23/00
Inventor 徐晋黄健光
Owner 徐晋
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