Teaching optimization method applying mathematical probability events

Abstract

The invention belongs to the technical field of mathematics teaching and particularly relates to a teaching optimization method applying mathematical probability events. The method comprises steps that for preparation, two types of balls having the same sizes and materials and different colors are prepared; the balls are disposed into a demonstration device, the demonstration device is fixed to adamping platform, and the control wind speed is controlled and does not exceed 0.05 m / s; a pressure sensor is disposed on a push head of the demonstration device, the push head is pressed, when a pressure value reaches a predetermined value, the push head is released after 3s pause under the pressure force, after the push head is automatically rebounded, after 3s pause, the push head is pressed again; a camera is placed in a laboratory, the camera is connected with a computer, and the computer is connected with projectors of multiple classrooms; the quantity of balls falling into a first collection frame and a second collection frame is separately counted by setting a video counter, and respective probabilities are calculated by the computer; the quantity of balls is changed, the above steps are repeated, and the probability curve is drafted by the computer. The method is advantaged in that multiple sets of experiments can be simultaneously accomplished, teaching efficiency is high, and strong contrast property is achieved.

Description

technical field [0001] The invention belongs to the technical field of mathematics teaching, and specifically relates to a teaching optimization method for applying mathematical probability events. Background technique [0002] In the teaching of probability, since beginners cannot understand the principle of probability and the generation of probability, it is necessary to use the probability teaching demonstration device when explaining probability, and demonstrate the occurrence of something intuitively. It enables observers to intuitively understand the generation process of probability, which is more conducive to the cognition of probability. [0003] Due to the shortcomings of high production cost, low randomness and unreasonable design of the demonstration teaching method currently used, it is difficult to popularize in the classroom, making it difficult for beginners to establish a deep and intuitive feeling for probability, which is not conducive to the interest in ...

AI Technical Summary

Problems solved by technology

[0003] Due to the shortcomings of high production cost, low randomness and unreasonable design of the demonstration teaching method currently used, it is difficult to popularize in the classroom, making it difficult for beginners to establish a deep and intuitive feeling for probability, which is not conducive to the interest in probability teaching. nourish

Images