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Individualized closed-loop learning method

A learning method and closed-loop technology, applied in the field of Internet education, can solve problems such as the heavy burden of teachers' judgment and homework, and achieve the effect of reducing workload and improving learning effect.

Inactive Publication Date: 2016-06-01
顾珺
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the double-blindness of teachers and students, teachers assign uniform homework covering all knowledge points to students, resulting in a heavy burden for students to do homework, and a heavy burden for teachers to judge homework

Method used

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Embodiment Construction

[0034] Specific embodiments of the present invention will be described in detail below.

[0035] like Figure 1~3 As shown, a personalized homework closed-loop learning method includes the following steps:

[0036] (1) After the teacher completes the teaching of a class, he selects the test questions that match the knowledge points of this class from the system for real-time evaluation in the class;

[0037] (2) Students answer the test questions in step (1) through their corresponding clickers, and send the answers to the receiver, and then the receiver sends the answers to the cloud server;

[0038] (3), after the cloud server receives the answer in step (2), the cloud server matches the student's answer with the standard answer, thereby judging whether the student has mastered the knowledge points;

[0039] (4) According to each student's mastery of knowledge points, the cloud server selects different combinations of exercises for each student from the system's homework e...

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Abstract

The invention relates to an individualized closed-loop learning method. The individualized closed-loop learning method comprises the following steps: 1, after finishing a lesson, selecting examination questions matched with knowledge points of the lesson to carry out a classroom test; 2, answering the examination questions by students and transmitting answers to a cloud server; 3, matching the answers of the students with standard answers by the cloud server; 4, selecting different exercise combinations from a system exercise library for each student by the cloud server so as to generate individualized work; 5, transmitting the individualized work to network learning spaces by the cloud server, accessing the network learning spaces by the students and finishing the individualized work, and uploading work results to the cloud server; 6, matching the work results of the students with the standard answers by the cloud server, and then pushing individualized learning videos to the students according to the work conditions of the students; and 7, feeding back work result data of the students, and micro-lesson learning conditions pushed to the students by the system to teachers, so as to finish closed loops of learning the knowledge points of the students.

Description

technical field [0001] The invention belongs to the field of Internet education, and in particular relates to a personalized homework closed-loop learning method. Background technique [0002] At present, the purpose of student homework is mainly two: 1) review; 2) the teacher needs to find out the knowledge points that the students did not learn in the day's study. However, due to the double-blindness of teachers and students, the teacher assigns uniform homework covering all knowledge points to students, resulting in a heavy burden for students to do homework, and a heavy burden for teachers to judge homework. Contents of the invention [0003] Purpose of the invention: the present invention makes improvements to the problems existing in the above-mentioned prior art, that is, the present invention discloses a personalized homework closed-loop learning method. [0004] Technical solution: a personalized homework closed-loop learning method, including the following steps...

Claims

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Application Information

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IPC IPC(8): G09B7/04
CPCG09B7/04
Inventor 顾珺赵健峰
Owner 顾珺
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