Score prediction method based on student quality evaluation
A prediction method and student technology, applied in the direction of complex mathematical operations, instruments, data processing applications, etc., can solve problems such as over-focusing on student scores, not conducive to student development and quality education reform, and not paying attention to feedback corrections, etc.
Inactive Publication Date: 2018-08-07
SHANGHAI UNIV
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Problems solved by technology
As the only means of selecting and distinguishing students, this kind of evaluation pursues the selective function of the so-called "students suitable for education". obvious irrationality
At present, most student evaluation methods mainly use academic performance as a single evaluation index. The evaluation method of the percentage system is more intuitive and clear, but it pays too much attention to student scores.
The grade system evaluation method dilutes the score competition, which is conducive to the transformation to quality education, but it cannot understand the situation of students in detail, and the limitation of not obvious gap also affects the enthusiasm of students
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[0024] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.
[0025] like figure 1 As shown, a grade prediction method based on student quality evaluation, the operation steps are as follows:
[0026] a) Collect student quality data: Student quality data is divided into three parts: achievement data of each subject, at least three semesters; innovation project achievement; volunteer activity achievement; use these data as the basic data for subsequent achievement evaluation and prediction.
[0027] b) Data preprocessing, the specific steps are as follows:
[0028] (1) Normality test of data
[0029] To judge whether the performance data is close to the normal distribution, it is generally judged whether the data distribution is normal by drawing the frequency distribution histogram of the original performance data, but this graphical judgment method is not a scientific and rigorous normality test met...
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The invention provides a score prediction method based on student quality evaluation. The method comprises the following operation steps of 1) collecting the data of students; 2) preprocessing the data; 3), evaluating the quality of the students; 4) predicating the scores of the students; and 5) generating individuals and group evaluation reports. According to the method, various aspects of students are combined, such as the basic score of each subject of the students, the scores of the innovation projects and the scores of the volunteer activities, to evaluate the students and obtain a comprehensive evaluation result. The next score prediction is carried out based on the evaluation result and combining the recent scores. The individual and group evaluation reports are generated by combining the evaluation result, the predicted score and the basic score data through a visual chart, so that the situations of the individual students, class and grade groups can be known.
Description
technical field [0001] The invention relates to the field of computer data analysis, in particular to a performance prediction method based on student quality evaluation. Background technique [0002] In the discussion about education and people, academic performance as a single evaluation index can no longer adapt to modern evaluation standards. Then, how to comprehensively, objectively and scientifically evaluate the quality of students can be recognized by students, parents, teachers and the society? As we all know, taking effective measures to evaluate the quality of students is the motivation to motivate students to make continuous progress, it is also the recognition of individual students, and it is the key to creating a good learning atmosphere. It is also crucial to teaching work and an important basis for evaluating teaching quality. It is also the reference basis for teachers to train students and teach students in accordance with their aptitude. [0003] For a ...
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IPC IPC(8): G06Q50/20G06Q10/06G06F17/17
CPCG06F17/17G06Q10/063G06Q50/205
Inventor 武星刘远
Owner SHANGHAI UNIV