Point-rating technology for assessing knowledge

I welcome everyone and everyone who reads this article since it will focus on what each of us concerns to one degree or another - education.

A little text to dive into the topic. And so in general about education in our country, the statistics is as follows:
Of those employed in the Russian economy (100%) have

HIGHER VOCATIONAL EDUCATION in
total: 27, 8%
men: 25.2%
women 30.5%

INCOMPLETE HIGHER PROFESSIONAL
total: 1.5 %
men: 1.4%
women 1.5%

according to data published on the agency’s website FEDERAL SERVICE OF STATE STATISTICS OF THE RUSSIAN FEDERATION.
We all know how training takes place in state universities, for those who have forgotten, I remind you:
There is a basic educational program that is divided into blocks and topics. During the entire period of study, students pass disciplines in accordance with the curriculum. I don’t know what specifically influenced the changes in the format of students' knowledge assessment, but I suspect that this is due to the Bologna process and the transition to undergraduate and graduate education levels.

And so, what changes are coming in the rules of the game for the student, university and teacher.

and here are the

Score-rating technologies for assessing knowledge based on the documentation and hardware - software base. And I would like to dwell on the second component and carry out some kind of decomposition. And the first block in my de compositional model will be the scoring model. I want to offer the following scoring algorithm to the attention of the public:

We will evaluate classroom work, attendance and out-of-classroom work.

Class work is divided into practical classes, the so-called field answers and business games.

For each lesson, the student can get a grade no higher than the maximum score set by the teacher (conditionally from 1 to infinity), then we get the sum of all the ratios of the grade to the maximum score and divide by the number of classes in which the student received grades and equate to a hundred points ( conditionally, you can equate to any scale) by multiplying, we get the weighted average value - which will be the score for the classroom work.

Attendance - was or was not

Everything is simple here - we subtract from the total number of past classes the number of missed, divide by the number of past classes and bring this number to the established scale (conditionally 100 points)

Outside classroom work

The calculation is exactly the same as in the case of class work, with the exception that all classes are mandatory counted.

Now it remains for us to calculate the final score

For this, we will distribute the weights for each type of activity:

• Classroom work 40 points
• Attendance 30 points
• Out of classroom work 30 points

We get the total score scored by the student by adding the relationship of each intermediate score to the sum of all weights. For those who understand the code, and such here, we must assume most offer a line of code in which this operation is implemented:

$STUDENT_ITOG_att[$w][2] = round((($STUDENT_ITOG[$w][1]*40)+($STUDENT_ITOG[$w][2]*30)+($STUDENT_ITOG_att[$w][1]*30)) / 100, 2);

To summarize this article, I would like to hear your comments on this method of assessing knowledge.