A Statistical Analysis Method Using Awareness Method

Abstract

The invention discloses a statistical analysis method using a cognition degree method. The statistical analysis method includes the following steps that a cognition confirmation voice for teaching content given by a teacher is transmitted to all students in a class through a student terminal; responses of all the students to the confirmation voice are detected, and a cognition degree analysis result about the current teaching content in the class is generated according to the conformation responses and displayed on a teacher terminal so that the teacher can adjust the current teaching content. Due to the adoption of the technical scheme, voice information of cognition degree confirmation is transmitted to the students according to time intervals or the teaching content, and relevant information is confirmed through blink. The teacher can master teaching content cognition conditions of the students conveniently, and the statistical analysis method is particularly suitable for classrooms in universities or classrooms where the number of students is large and the teacher can not observe the conditions of the students visually.

Description

technical field [0001] The invention relates to a statistical analysis method applying the cognition degree method. Background technique [0002] How to improve classroom efficiency is the eternal theme of teaching activities. One of the most important points is that the teacher can grasp the students' comprehension degree of the content taught in real time, and then adjust the content of the lecture. [0003] However, in many situations in reality, teachers basically do not have any means to understand the current status of students. The distance between the teacher and the students is far, and it is impossible for the teacher to understand the state of the students by observing the facial expressions of the students in the classroom. Therefore, in this kind of large class, most of the lectures are unilaterally taught by the teacher. It is completely unknown how much I know about the content of the lecture and whether I have kept up with the progress of the lecture. This ...

AI Technical Summary

Problems solved by technology

[0003] However, in many situations in reality, teachers basically do not have any means to understand the current status of students. The distance between the teacher and the students is far, and it is impossible for the teacher to understand the state of the students by observing the facial expressions of the students in the classroom. Therefore, in this kind of large class, most of the lectures are unilaterally taught by the teacher. It is completely unknown how much I know about the content of the lecture and whether I have kept up with the progress of the lecture. This has caused many students to slip away and do activities that have nothing to do with classroom teaching because they cannot keep up with the progress of the class.

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