SU785888A1 - Teaching device - Google Patents

Description

(54) TRAINING DEVICE

one

The invention relates to training devices and teaching aids.

A training device is known which comprises a control unit connected to a memory unit and a parameter formation unit of the learning image, which is connected to the training and monitoring unit, also connected to the control unit 1.

A disadvantage of the known device is the low didactic possibilities.

The aim of the invention is to expand the didactic possibilities.

The goal is achieved by the fact that the proposed device has an image processing unit, a prediction unit and a forecast issuing unit, wherein the image processing unit is connected to a control unit, a memory unit, an image parameter forming unit of the student and a prediction unit that is connected through the prediction issuer unit to the unit of training and control.

The drawing shows a block diagram of the device.

The device contains a unit 1 of training and control, a unit 2 for determining psycho-physiological parameters, a block, 3 inputs of image characteristics, which are connected via switch 4 to block 5 to form

5 parameters of the image of the student, block 6 comparison of the parameters of the images, block 7 of the pattern memory and weight coefficients of the parameters, register 8 of the current image, block 9 of the predicted parameter identification, block 10 taking into account weighting coefficients, distributor 11, prediction node 12 and issuing block 13 forecast.

Block I training and control, block 3 of entering the characteristics of the image, block 6 comparing the parameters of the images and block 10 of accounting

The 5 weighting coefficients of the parameters are connected to the inputs of the control unit 14, the outputs of which are connected to the switch 4, the formation parameter 5 of the formation parameter, the image memory and weight coefficient unit 7, and the predicted parameter identification unit 9. The weight accounting module 10 consists of a subtracting counter 15 and a zero-body 16 connected to the distributor 11

and the control unit 14. The prediction unit 12 consists of the counters 17 to which the output buses of the distributor 11 are connected and the maximum value determination unit 18 connected to the forecast issuing unit 13.

The node for forming the parameters of the image of the student has a unit 2 for determining psycho-physiological parameters, unit 3 for inputting the characteristics of the image, switch 4 and unit 5 for forming the parameters of the image of the student.

The image processing unit contains a block 6 for comparing image parameters, a register 8 for a current image, a weight accounting unit 10, a distributor 11 including a counter 15 and a null organ 16.

The device works as follows

In the process of learning, block 1 accumulates statistical information about the speed of learning of educational material, the results of the control; Block 2 determines the psychophysiological parameters of the trainees, which form the physiological functions that are the drivers of successful performance of a certain type of activity. Information from these blocks and block 3 of input of image characteristics through switch 4 enters block 5 of forming the parameters of the image, which forwards it to block 7 of the memory of images and weights in the form of a system of parameters characterizing the image of the student. The system of parameters is accumulated in block 7 as a matrix of parameters and their weights {X .;}, where the i-row of the matrix (i 1,2, ..., M) is the image of the i-ro specialist, including j parameters, a (M + 1) -a line is a string of integer positive weights of the parameters of the images.

Block 1, according to the learning algorithm, issues a request to predict the Z-ro parameter (Z p + 1, p + 2 ... N, where p are permanent image parameters characterizing, for example, professional experience, age, education, etc. .) learning to the control unit 14, after which the initial information from blocks 1, 2 and 3 through the switch 4 enters the block 5 forming the parameters of the image in which it is formed into the vector Yj (j 1 ... p) using the first p parameters image. After that, an element-by-element comparison of the vector Yy begins with the first p-elements of the string XL, J (i 1, 2, ..., M). If the corresponding elements are equal, the weighting coefficients assigned to these elements accumulate in the K counter (K 1, 2, ... Kj), where K is the number of gradations of the predicted parameter Z, for example, for assessing performance on the fifth scale, the number of gradations taken into account is 4 (for "2," 3, "4 and" 5). For this, the value of element Хць from block 7 through the register of the current image 8 enters the block

9 identify the predicted parameter that determines the number of the counter in the prediction node 12 and sets it to the input of the distributor 11. Then the register 8 receives the value of the element Hz (j 1,2, ...

..., p), and from it to the input of the unit 6 for comparing the parameters of the images, to the other input of which the value of the element Y is applied; from block 5 forming the image parameters. If the elements do not match, then the signal from the control unit 14 proceeds to a comparison of the following elements. When the parameters are equal, the signal from the output of block 6 is fed to the input of the distributor 11, and the value of the weighting factor j-ro of the parameter X (memory block 7 through the register 8 is fed to the subtractive counter 15 connected via zero to the distributor 11. The accumulation of values begins the weighting factor X (, .- tjB counter K.) When the value of the counter Go is equal to zero, the null organ 16 signals the control unit 14, which provides a transition to the comparison of the following elements. After completing the process of comparing the elements of the vector Yj with the corresponding elements of the rows of the matrix {Xij) (i 1, 2, ..., M; j 1, 2, ..., p), the maximum value determination unit 18 polls all the counters of the counter block 17 and issues the number in the forecast issuer 13 the counter that contains the largest sum of the weighting factor.

0 The forecast issuing unit decodes the received number as a gradation value of the predicted parameter Z and outputs it to the unit 1 of training and control. The forecast of all parameter values for the remaining M- (p + 1) parameters is carried out similarly.

The proposed device allows us to expand the didactic possibilities by taking into account and forecasting the individual characteristics of the student, improving the quality of the management of the learning process, and also allows for long-term forecasting based on the results of the training of specialists employed in the national economy.

Claims (1)

Invention Formula A training device containing a control unit connected to a memory unit and a parameter formation unit of the learning image, which is connected to the training and monitoring unit, also connected to the control unit, in order to expand the didactic capabilities, it has an image processing node , a prediction node and a prediction issuer, wherein the image processing node is associated with a control unit, a memory unit. a node for forming parameters of the learning image and a prediction node, which is connected to the training and control unit through the prediction issuer unit. Sources of information taken into account during the examination 1. USSR Author's Certificate No. 579653, cl. G 09 B 7/06, 1975 (prototype).