Personalized distance education system based on deep learning and method

Abstract

The invention discloses a personalized distance education system based on deep learning and a method. The system involves a teacher side, a distance education side, a student side, a personalized question bank analysis module, a student concentration degree detection module and a student information base, wherein the student side is connected with the distance education side through a network learning platform; the teacher side is used for teacher live broadcasting or recorded broadcasting teaching, the student side is used for student learning, and the distance education side is used for assisting teacher teaching; and the personalized question bank analysis module is used for carrying out statistics according to the learning progress of students, learning error questions and high-frequency error points loaded by a question bank and pushing corresponding questions for each student. and the student concentration degree detection module is used for sending visual images into a deep learning framework so as to analyze the concentration degree of the learners. According to the personalized distance education system based on deep learning and the method, the personalized question bankanalysis module is added on the basis of a traditional high-efficiency distance education management system, so that self-adaptive adaptation to different user sides and different learning purposes isrealized, and the purpose of intelligent teaching is achieved.

Description

Technical field[0001]The invention relates to the technical field of distance education, in particular to a personalized distance education system and method based on deep learning.Background technique[0002]With the development of Internet applications, people are increasingly putting the learning process on the Internet instead of being limited to traditional classroom learning. The unique immediacy and functionality of online learning make it the first choice of many distance learners.[0003]The characteristics of distance education determine that students focus on self-study, students are separated from teachers and classmates, the atmosphere of the classroom is lacking, teachers cannot understand the status of students in real time, and many other factors lead to poor learning effects and high dropout rates in distance education.[0004]In addition, traditional distance education is centered on the system itself, ignoring the distinct differences in personality characteristics betw...

AI Technical Summary

Problems solved by technology

[0003] The characteristics of distance education determine that students are mainly self-study, students, teachers, and classmates are separated from each other, the atmosphere of the classroom is lacking, teachers cannot know the status of students in real time, and many other factors lead to poor learning effect and high dropout rate of distance education

[0004] In addition, the traditional distance education is centered on the system itself, ignoring the distinct personality differences between the objects of education. Students can only passively accept the exact same learning content, but cannot actively choose, schedule, and learn according to their own needs. Control your own learning process. As a result, the rich educational resources are not fully utilized, resulting in many problems such as poor interaction and ineffective teaching.

[0005] Although the high-quality online teaching resources of famous teachers from various famous schools are extremely rich, most students still lack a sense of belonging and achievement in learning, and their independent learning ability is not high.

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