Personalized learning method and learning device

Abstract

The invention relates to a personalized learning method and a personalized learning device which can be used for educational electronic products. The learning device comprises an answering unit, a matching unit and a recommending unit, wherein the answering unit is used for receiving question content and searching corresponding knowledge points in a preset database according to the question content, the matching unit is used for searching and providing corresponding exercise content in the preset database according to the knowledge points, and the recommending unit is used for receiving answering content that corresponds to the exercise content and performing statistical calculation on the knowledge points according to the answering content so that learning content can be recommended according to a statistical result. According to the personalized learning method and learning device, classroom learning content is divided into a plurality of knowledge points, a simplified, independent and personalized learning scheme can be recommended according to question conditions in allusion to each knowledge point, spare time of students can be fully utilized and learning questions are centralized and solved one by one, and the learning efficiency of the students is greatly increased.

Description

technical field [0001] The invention relates to a learning method, in particular to a personalized learning method and a learning device. Background technique [0002] Students will inevitably have some problems in the learning process, such as: First: Students always ignore some key points, difficulties and details of the teaching process more or less in the process of listening to the class, and the knowledge that every student ignores The point is different. Therefore, it would be very laborious for the teacher to re-explain to each student. More importantly, it is unrealistic to explain one by one for teaching in many cases, and the teacher cannot give a targeted explanation to each student. Second: Students learn mainly by themselves to grasp their own actual learning situation. Students hope that teachers can give more personalized guidance, and at the same time expect to get more diverse, diverse and better knowledge explanations, not limited to their own teachers. ...

AI Technical Summary

Problems solved by technology

Third: When students return home to do homework, when encountering problems that they don’t understand, only a very small number of students will call the teacher directly. Even if they do this, it is difficult for the teacher to explain these problems on the phone clear

There are even some students who are unwilling to ask the teacher when they have questions. Over time, a large number of questions have accumulated, resulting in a gradual decline in academic performance.

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