CN111598744A - Method and system for planning growth direction of students - Google Patents

Method and system for planning growth direction of students Download PDF

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CN111598744A
CN111598744A CN202010255283.XA CN202010255283A CN111598744A CN 111598744 A CN111598744 A CN 111598744A CN 202010255283 A CN202010255283 A CN 202010255283A CN 111598744 A CN111598744 A CN 111598744A
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张晓娴
张永强
董满生
金颖
马春林
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Anhui I Xue Tang Education Technology Co ltd
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Abstract

The invention belongs to the technical field of intelligent education, and particularly relates to a method and a system for planning the growth direction of students. The method comprises the following steps: acquiring a learning completion degree parameter, and calculating through a student comprehensive ability evaluation model to obtain a secondary evaluation index parameter; calculating to obtain a primary evaluation index parameter according to the secondary evaluation index parameter; and analyzing the primary evaluation index parameters to obtain a planning suggestion. The method and the system quantize each individual ability of the students, and can accurately analyze the advantages and the disadvantages of the individual abilities of different students. Corresponding planning suggestions are pushed according to advantages and disadvantages, so that students can know the advantages and disadvantages in real time, self-cognition is improved, and learning plans and career plans of the students can be formulated according to the planning suggestions.

Description

Method and system for planning growth direction of students
Technical Field
The invention belongs to the technical field of intelligent education, and particularly relates to a method and a system for planning the growth direction of students.
Background
At present, colleges and universities have no stable cognitive condition due to the fact that learning environments are scattered and unfixed and teachers in each class are different in each learning period; and few college students capable of self-summarizing and self-retrying in daily learning and life. This results in the college students not being able to have clear self-localization and self-cognition when stepping into the social job hunting after graduation, so that there is no clear target on the way to hunting for the job. The consequences of this are that the student's ability to advantage does not match the work type, the student's ability to advantage cannot be performed, and the existing work cannot be completed smoothly. Thus, it is a loss and waste for students themselves or for enterprises.
At present, two methods for investigating the abilities of students are mainly used: the first is to make an assessment by course performance (by knowledge point memory/teacher assessment) which is too subjective and does not represent a level of ability beyond learning. The second is the use of psychological scales to determine student competency levels by analyzing the scales filled in by the students. In fact, when filling in the scale, the student goes to evade the answers he believes to be bad, resulting in an unreliable result.
The invention patent with publication number CN105956964A discloses a college student learning and employment service system. The invention aims at the current situation of college education, the requirements of enterprises and the appeal of students, builds a service system, improves the learning efficiency and the professional planning of the students during school through the service system, and realizes the use of learning. The service system provided by the invention aims to solve the problem that the students are in butt joint with enterprises, and the students cannot be clearly analyzed by combining the daily learning condition of the students in colleges and universities and the personal abilities of the students; and reasonable growth planning suggestions cannot be provided for the students in the school.
Therefore, it is desirable to provide a method and system for planning the growth direction of students, by which the students can have clear cognition on themselves and have clear planning on their future career roads during school and study.
Disclosure of Invention
In view of the above problems, the present invention provides a method for planning the growth direction of a student, wherein the method comprises:
acquiring a learning completion degree parameter, and calculating through a student comprehensive ability evaluation model to obtain a secondary evaluation index parameter;
calculating to obtain a primary evaluation index parameter according to the secondary evaluation index parameter;
and analyzing the primary evaluation index parameters to obtain a planning suggestion.
Furthermore, the learning completion degree parameter comprises one or more of work issuing times, time for submitting work each time, work submitting times, score for work each time, class question answering times and correct class question answering times;
the first-level evaluation index parameters comprise values corresponding to one or more student abilities in learning ability, executive ability, cooperation ability, organization ability, communication ability and logic analysis ability.
Further, the step of calculating to obtain the secondary evaluation index parameter includes:
acquiring the learning completion degree parameter, and calculating to obtain a third-level evaluation index parameter;
and calculating to obtain a secondary evaluation index parameter according to the tertiary evaluation index parameter.
Further, the formula for calculating the three-level evaluation index parameter includes:
Figure BDA0002437067110000021
wherein S1 represents a job submission time parameter;
Aithe method comprises the steps of representing a job submission time score when the ith job is submitted on time, wherein a represents the number of times of submitting the job on time and is more than or equal to 1;
Bithe score of the job submission time in the ith early crossing job is represented, b represents the number of the early crossing jobs, and b is more than or equal to 1;
Cithe time score of the job submission is shown when the ith delayed transaction job is carried out, c shows the number of delayed transaction jobs, and c is more than or equal to 1;
Dithe score of the job submitting time when the ith time of the non-transaction job is represented, d represents the number of times of the non-transaction job, and d is more than or equal to 1;
x represents the number of job issuance times, and x is a + b + c + d.
Further, the calculation formula of the job submission time score Ai when the job is submitted at the i-th time is as follows:
Ai＝5，
wherein i is more than or equal to 1; if the number of on-time submission of the job is 0, AiThe value of (A) is 0;
a job submission time score B at the ith-time early crossing jobiThe calculation formula of (2) is as follows:
Bihours of early crossing/6 +5,
wherein i is more than or equal to 1; if the number of the early crossing operation is 0, BiThe value of (A) is 0;
a job submission time score C at the ith delayed transactioniThe calculation formula of (2) is as follows:
Ci5-number of delayed crossing minutes/6,
wherein i is more than or equal to 1; if the number of delayed transactions is 0, then CiThe value of (A) is 0;
the score D of the ith time of the missed jobiThe calculation formula of (2) is as follows:
Di＝0，
wherein i is more than or equal to 1; if the number of times of the non-transaction operation is 0, DiThe value of (A) is 0.
Further, the formula for calculating the three-level evaluation index parameter includes:
Figure BDA0002437067110000031
wherein S is2Representing a job score parameter; eiRepresents the ith job score; e represents the number of times of submission of the job, and e is more than or equal to 1.
Further, the formula for calculating the three-level evaluation index parameter includes:
Figure BDA0002437067110000032
wherein S is3Representing a correct rate parameter; fiScoring the ith classroom answer; f represents the number of times of submitting the classroom answers, and f is more than or equal to 1.
Further, the formula for calculating the three-level evaluation index parameter includes:
S4＝g/G；
wherein S is4A participation parameter; g is the number of times of submitting classroom answers; g is the pushing times of classroom answers, G is more than or equal to 0, and G is more than or equal to 1.
Further, the formula for calculating the secondary evaluation index parameter includes:
Figure BDA0002437067110000033
wherein S is5Representing a attendance time parameter;
Hirepresents the attendance time score of the ith morning arrival;
Jia attendance time score representing the ith on-time attendance;
Kirepresents the attendance time score for the ith late time;
l represents attendance checking times, h, j and k represent the times of early attendance, punctual attendance and late attendance respectively; k. h and j are both more than or equal to 1, and l is h + j + k;
the attendance time score H of the ith arrival timeiThe calculation formula is as follows:
Hinumber of early minutes/60 +0.5,
wherein i is more than or equal to 1; if the number of early attendance is 0, then HiThe value of (A) is 0;
attendance of the ith on-time attendanceTime score JiThe calculation formula of (2) is as follows:
Ji＝0.5，
wherein i is more than or equal to 1; if the number of on-time attendance is 0, JiThe value of (A) is 0;
the attendance time score K of the ith late arrivaliThe calculation formula of (2) is as follows:
Ki0.5-late minutes/60,
wherein i is more than or equal to 1; if the number of late trips is 0, the value of Ki is 0.
The invention also provides a system for planning the growth direction of students, which comprises:
the acquisition module is used for acquiring the learning completion degree parameters and calculating through a student comprehensive ability evaluation model to obtain secondary evaluation index parameters;
the calculation module is used for calculating a primary evaluation index parameter according to the secondary evaluation index parameter;
and the pushing module is used for acquiring the primary evaluation index parameters, analyzing the primary evaluation index parameters and obtaining and pushing the planning suggestions.
The method and the system quantize each individual ability of the students, and can accurately analyze the advantages and the disadvantages of the individual abilities of different students. Corresponding planning suggestions are pushed according to advantages and disadvantages, so that students can know the advantages and disadvantages in real time, self-cognition is improved, and learning plans and career plans of the students can be formulated according to the planning suggestions.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a flow chart illustrating a method of planning student growth directions according to an embodiment of the invention;
FIG. 2 illustrates a schematic structural diagram of parameters associated with an execution force, in accordance with an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a system for planning the growth direction of a student according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention discloses a method for planning the growth direction of students, which comprises the following steps as an example, as shown in figure 1:
the method comprises the following steps: and acquiring a learning completion degree parameter, and calculating through a student comprehensive ability evaluation model to obtain a secondary evaluation index parameter.
The primary evaluation index parameter may be used to evaluate student competence. Illustratively, the primary evaluation index parameters include, but are not limited to, learning ability, execution ability, cooperation ability, organization ability, communication ability, and logic analysis ability.
Based on the student comprehensive ability evaluation model, the primary evaluation index can be determined through calculation of the corresponding secondary evaluation index, each secondary evaluation index can be determined through calculation of the corresponding tertiary evaluation index, and each tertiary evaluation index can be determined through calculation of the corresponding learning completion degree parameter.
The embodiment of the present invention is described by taking the execution force of the student as an example, that is, the execution force is a primary evaluation index, as shown in fig. 2, the secondary evaluation index affecting the execution force includes, but is not limited to, a job completion condition parameter, a classroom answer condition parameter, and a attendance time parameter.
The three-level evaluation indexes influencing the job completion condition parameters comprise but are not limited to a job submission time parameter and a job score parameter; the three-level evaluation indexes influencing the classroom answer condition parameters comprise but are not limited to a correct rate parameter and a participation parameter; and the three-level evaluation indexes influencing the attendance time parameter comprise attendance time scores and attendance times.
Illustratively, the first learning completion parameter corresponding to the job submission time parameter comprises the number of times of job issuance and the time of each job submission, and the time of job submission comprises the time of early deal, the time of on-time submission, the time of late deal and non-deal.
And the second learning completion degree parameter corresponding to the job score parameter comprises the job submission times and the score of each job.
The third learning completion degree parameter corresponding to the accuracy parameter comprises classroom question answering times and classroom question answering accuracy times; and the fourth learning completion degree parameter corresponding to the participation degree parameter comprises the classroom question number and the classroom answer number.
And acquiring the first learning completion degree parameter, the second learning completion degree parameter, the third learning completion degree parameter and the fourth learning completion degree parameter in real time.
And the student comprehensive ability evaluation model acquires a learning completion degree parameter and carries out three-level evaluation index numerical calculation processing on the learning completion degree parameter.
Illustratively, the job submission time parameter S1The calculation process of (2) includes:
presetting a job submission time score A when the ith time is submittedi5, wherein i is more than or equal to 1; if the number of on-time submission of the job is 0, AiThe value of (A) is 0;
presetting a job submission time score B in the ith early crossing of the jobiHours of early crossing/6 +5 (B)iIs greater thanWhen 10, calculated as 10), wherein i is more than or equal to 1; if the number of the early crossing operation is 0, BiThe value of (A) is 0; specifically, the hours of the early crossing refer to: the number of hours the teacher required to submit the job minus the actual time the job was submitted.
Presetting a job submission time score C when the ith delayed transaction jobi5-delayed crossover min/6 (C)iWhen the value is less than 0, the value is calculated according to 0), wherein i is more than or equal to 1; if the number of delayed transactions is 0, then CiThe value of (A) is 0; specifically, the number of delayed crossing minutes refers to: the actual time to submit the job minus the time the teacher requested to submit the job, is the number of minutes.
Presetting a job submission time score D when the ith job is not submittedi0, wherein i is more than or equal to 1; if the number of times of the non-transaction operation is 0, DiThe value of (A) is 0.
Substituting the job issuing times and the scores of each job submission time into the job submission time parameter S11The calculation formula of (2) is as follows:
Figure BDA0002437067110000071
wherein x represents the number of times of issuing the operation, a, b, c and d represent the number of times of quasi-point submitting operation, the number of times of early-crossing operation, the number of times of late-crossing operation and the number of times of non-crossing operation, respectively, a, b, c and d are all equal to or more than 1, and x is a + b + c + d.
And calculating the job submission time parameter according to the calculation formula.
Substituting the number of times of submitting the job and the score of each job into the job score parameter S12The calculation formula of (2):
Figure BDA0002437067110000072
wherein E isiThe score of the ith operation can be calculated according to a percentage system; e represents the number of times of submission of the job, and e is more than or equal to 1.
And calculating the operation score parameter according to the calculation formula.
The times of answering the questions in classroom and the correct times of answering the questions in classroom are substitutedEntering the accuracy parameter S21The calculation formula of (2):
Figure BDA0002437067110000073
wherein, FiThe ith class answer score is expressed, and the class answer score can be calculated according to a percentage system; f represents the number of times of submitting the classroom answers, and f is more than or equal to 1.
And calculating the accuracy parameter according to the calculation formula.
Substituting the classroom question number and classroom question answering number into the participation parameter S22The calculation formula of (2):
S22and G/G, wherein G is the number of submission times of the classroom answers, G is the pushing number of the classroom answers, G is more than or equal to 0, and G is more than or equal to 1.
And calculating the participation parameter according to the calculation formula.
The calculation formula of the three-level evaluation index parameters is only exemplary, and can be adaptively adjusted according to actual analysis conditions. For example, the job score parameter S12The calculation formula of (c) can be adjusted to:
Figure BDA0002437067110000074
wherein E isiThe score of the ith operation can be calculated according to a tenth system; e represents the number of times of submission of the job, and e is more than or equal to 1.
And the student comprehensive capacity evaluation model acquires a third-level evaluation index parameter and performs second-level evaluation index parameter calculation processing on the third-level evaluation index parameter.
Illustratively, the attendance time parameter S3The calculation process of (2) includes:
presetting the attendance time score H of the ith arrival timeiNumber of early minutes/60 +0.5 (H)iWhen the value is more than 1, the value is calculated according to 1), wherein i is more than or equal to 1; if the number of early attendance is 0, then HiThe value of (A) is 0; specifically, the number of early minutes refers to: and subtracting the actual attendance time point from the attendance time point to obtain the number of minutes.
Is preset toAttendance time score J of i-time attendancei0.5, wherein i is more than or equal to 1; if the number of on-time attendance is 0, JiThe value of (A) is 0.
Presetting an attendance time score K of the ith late arrival timei0.5-tardy minutes/60 (K)iWhen the value is less than 0, the value is calculated according to 0), wherein i is more than or equal to 1; if the number of late attendance is 0, KiThe value of (A) is 0; specifically, the number of late minutes refers to: and subtracting the attendance time point from the actual attendance time point to obtain the number of minutes.
Substituting each attendance time score and attendance times into the attendance time parameter S3Calculating the formula:
Figure BDA0002437067110000081
wherein, l represents the attendance number, h, j and k represent the number of early attendance, punctual attendance and late attendance respectively, and l is h + j + k.
The student comprehensive ability evaluation model submits a time parameter S according to the homework11And the job score parameter S12Calculating the job completion parameter S1(ii) a According to the accuracy parameter S21And the participation parameter S22Calculating classroom answering situation parameter S2。
Illustratively, the job completion parameter S1The calculation formula of (2) is as follows:
S1＝Q1S11+Q2S12wherein, said Q1Representing a job submission time parameter S11Parameter S at job completion1Weight of, Q2Representing a job submission time parameter S12Parameter S at job completion1The following weights.
The job completion parameter S2The calculation formula of (2) is as follows:
S2＝Q3S21+Q4S22wherein, said Q3Indicates the accuracy parameter S21Answering situation parameter S in classroom2Weight of, Q4Representing an engagement parameter S22Answering situation parameter S in classroom2The following weights.
Further, the weight Q of the three-level evaluation index parameter in the student comprehensive capacity evaluation modeljThe calculation formula of (2) is as follows:
Figure BDA0002437067110000082
wherein, ViThe entropy information weight of the ith index parameter is obtained when the entropy weight method is used for calculation; piAnd (4) solving the hierarchical analysis weight of the ith index parameter for the traditional hierarchical analysis method.
In particular, the entropy information weight ViThe calculation formula of (2) is as follows:
Figure BDA0002437067110000091
wherein S isiEntropy value of the ith index parameter;
in particular, the entropy value SjThe calculation formula of (2) is as follows:
Figure BDA0002437067110000092
wherein, r isijCharacteristic weights of the ith row and jth column elements in a matrix constructed for the analytic hierarchy process;
in particular, the feature weight rijThe calculation formula of (2) is as follows:
Figure BDA0002437067110000093
wherein, bijElements in ith row and j column in the matrix constructed for the analytic hierarchy process;
specifically, the hierarchy analysis weight PjThe calculation formula of (2) is as follows:
Figure BDA0002437067110000094
wherein M isiJudging the product of all elements in the ith row in the matrix;
in particular, the followingThe product MjThe calculation formula of (2) is as follows:
Figure BDA0002437067110000095
wherein, bij＝Bi/Bj，BiAnd BjAnd when the factor i and the factor j of the B layer of the judgment matrix are compared pairwise, the statistical frequency determined by an investigation method is adopted.
Specifically, the judgment matrix is:
Figure BDA0002437067110000096
illustratively, the job completion parameter is influenced by two metrics, a job submission time parameter and a job score parameter. The job completion parameters form a 2 x 2 decision matrix:
Figure BDA0002437067110000097
the evaluation of 100 teachers on parameters influencing the job completion condition is obtained by adopting an investigation method, wherein 40 teachers assume that the job completion condition parameters are mainly influenced by the job submission time parameters, and 60 teachers assume that the job completion condition parameters are mainly influenced by the job score parameters. Therefore, the judgment matrix formed by the job completion parameters is:
Figure BDA0002437067110000101
step two: and calculating a primary evaluation index parameter according to the secondary evaluation index parameter.
And the student comprehensive capacity evaluation model calculates to obtain a primary evaluation index parameter according to the secondary evaluation index parameter.
Illustratively, a primary evaluation index parameter corresponding to the execution force is calculated according to the job completion condition parameter, the classroom answer condition parameter and the attendance time parameter.
The primary evaluation metrics include, but are not limited to, learning ability, execution ability, collaboration ability, organizational ability, communication ability, and logical analysis ability. The student ability of a student is evaluated, and one or more primary evaluation index parameters of the student can be calculated.
Step three: and analyzing the primary evaluation index parameters to obtain a planning suggestion.
Different planning suggestions can be preset according to different ability levels of different student abilities. The method comprises the steps of obtaining one or more primary evaluation index parameters of a student, analyzing the advantages and the disadvantages of the student capacity of the student, and pushing corresponding planning suggestions for the student according to the advantages and the disadvantages.
Illustratively, the primary evaluation index parameters corresponding to the learning ability, the execution ability, the cooperation ability and the organization ability of the students are preset into 4 levels which are 1 level, 2 levels, 3 levels and 4 levels respectively, and the student abilities of the students are gradually reduced from 1 level to 4 levels.
After the student ability of the first student is calculated by the student comprehensive ability evaluation model, the obtained result is as follows: learning ability level 2, execution ability level 1, cooperation ability level 2, and organization ability level 4. According to the result, the first student has poor organizational ability but strong executive ability, so the planning suggestion pushed to the first student is' suggestion to engage in technical work; if you want to engage in managing posts, it needs to improve the organization ability ".
The comprehensive student ability evaluation model quantifies each individual ability of the students, and can objectively and accurately analyze the advantages and the disadvantages of the individual abilities of different students. Corresponding planning suggestions are pushed according to advantages and disadvantages, so that students can know the advantages and disadvantages of the students in time, self-cognition degree is improved, and learning plans and career plans of the students can be formulated according to the planning suggestions.
To implement the above method, the present invention further provides a system for planning the growth direction of a student, which illustratively comprises, as shown in fig. 3:
the acquisition module is used for acquiring the learning completion degree parameters and calculating through a student comprehensive ability evaluation model to obtain secondary evaluation index parameters;
the calculation module is used for calculating a primary evaluation index parameter according to the secondary evaluation index parameter;
and the pushing module is used for acquiring and analyzing the primary evaluation index parameters and pushing the planning suggestions.
The system supports a student comprehensive ability evaluation model; the acquisition module acquires the learning completion degree parameters and calculates to obtain three-level evaluation index parameters according to the learning completion degree parameters; the student comprehensive capacity evaluation model calculates the secondary evaluation index parameters according to the tertiary evaluation index parameters; and the acquisition module sends the secondary evaluation index parameters to a calculation module.
The calculation module receives and calculates a primary evaluation index parameter according to the secondary evaluation index parameter; and the calculation module sends the primary evaluation index parameters to a pushing module.
The pushing module acquires the primary evaluation index parameters and performs integral analysis on one or more primary evaluation index parameters of the same student to obtain corresponding planning suggestions; the pushing module pushes the planning suggestion.
Illustratively, student performance is analyzed, namely the student performance is a primary evaluation index. The secondary evaluation indexes corresponding to the student execution force comprise but are not limited to a work completion condition parameter, a classroom answer condition parameter and an attendance time parameter; the three-level evaluation indexes corresponding to the job completion condition parameters comprise but are not limited to job submission time parameters and job score parameters; the three-level evaluation indexes corresponding to the classroom answer condition parameters include, but are not limited to, a correct rate parameter and a participation parameter.
The acquisition module acquires the work issuing times, the time of submitting the work each time, the work submitting times, the score of the work each time, the classroom question answering times, the classroom question answering correct times, the classroom question asking times, the attendance time score and the attendance checking times, and performs the following calculation processes.
Calculating the job submission time parameter S1：
Presetting a job submission time score A when the ith time is submittedi1 ═ 5, itIn the formula, i is more than or equal to 1; if the number of on-time submission of the job is 0, AiThe value of (A) is 0;
presetting a job submission time score B in the ith early crossing of the jobiHours of early crossing/6 +5 (B)iWhen the value is more than 10, the value is calculated according to 10), wherein i is more than or equal to 1; if the number of the early crossing operation is 0, BiThe value of (A) is 0;
presetting a job submission time score C when the ith delayed transaction jobi5-delayed crossover min/6 (C)iWhen the value is less than 0, the value is calculated according to 0), wherein i is more than or equal to 1; if the number of delayed transactions is 0, then CiThe value of (A) is 0;
presetting a job submission time score D when the ith job is not submittedi0, wherein i is more than or equal to 1; if the number of times of the non-transaction operation is 0, DiThe value of (A) is 0.
Substituting the job issuing times and the scores of each job submission time into the job submission time parameter S1The calculation formula of (2) is as follows:
Figure BDA0002437067110000121
wherein x represents the number of times of issuing the operation, a, b, c and d represent the number of times of quasi-point submitting operation, the number of times of early-crossing operation, the number of times of late-crossing operation and the number of times of non-crossing operation, respectively, a, b, c and d are all equal to or more than 1, and x is a + b + c + d.
And calculating the job submission time parameter according to the calculation formula.
Calculating the job score parameter S2：
Substituting the number of times of submitting the job and the score of each job into the job score parameter S2The calculation formula of (2):
Figure BDA0002437067110000122
wherein E isiThe score of the ith operation can be calculated according to a percentage system; e represents the number of times of submission of the job, and e is more than or equal to 1.
And calculating the operation score parameter according to the calculation formula.
Calculating the accuracy parameter S3：
Substituting the classroom question answering times and the classroom question answering correct times into the correct rate parameter S3The calculation formula of (2):
Figure BDA0002437067110000123
wherein, FiThe ith class answer score is expressed, and the class answer score can be calculated according to a percentage system; f represents the number of times of submitting the classroom answers, and f is more than or equal to 1.
And calculating the accuracy parameter according to the calculation formula.
Calculating the engagement parameter S4：
Substituting the classroom question number and classroom question answering number into the participation parameter S4The calculation formula of (2):
S4and G/G, wherein G is the number of submission times of the classroom answers, G is the pushing number of the classroom answers, G is more than or equal to 1, and G is more than or equal to 0.
And calculating the participation parameter according to the calculation formula.
And the acquisition module performs secondary evaluation index parameter calculation processing on the tertiary evaluation index parameters.
Illustratively, the attendance time parameter S5The calculation process of (2) includes:
presetting the attendance time score H of the ith arrival timeiNumber of early minutes/60 +0.5 (H)iWhen the value is more than 1, the value is calculated according to 1), wherein i is more than or equal to 1; if the number of early attendance is 0, then HiThe value of (A) is 0.
Presetting an attendance time score J for the ith on-time attendancei0.5, wherein i is more than or equal to 1; if the number of on-time attendance is 0, JiThe value of (A) is 0.
Presetting an attendance time score K of the ith late arrival timei0.5-tardy minutes/60 (K)iWhen the value is less than 0, the value is calculated according to 0), wherein i is more than or equal to 1; if the number of late attendance is 0, KiThe value of (A) is 0.
Substituting each attendance time score and attendance times into the attendance time parameterNumber S5Calculating the formula:
Figure BDA0002437067110000131
wherein, l represents the attendance number, h, j and k represent the number of early attendance, punctual attendance and late attendance respectively, and k is h + j + k.
The acquisition module is used for submitting the time parameter S according to the operation1And the job score parameter S2Calculating operation completion condition parameters; according to the accuracy parameter S3And the participation parameter S4And calculating the classroom answer condition parameters.
And the calculation module acquires and calculates a primary evaluation index parameter corresponding to the execution force according to the operation completion condition parameter, the classroom answer condition parameter and the attendance time parameter.
The calculation module sends the primary evaluation index parameters corresponding to the calculated execution force to the push module, and the push module analyzes the primary evaluation index parameters to obtain corresponding planning suggestions and pushes the planning suggestions.
The system can share information with a teaching system, and various information data of students and teachers can realize interaction, so that the acquisition module can conveniently acquire evaluation index parameters at all levels.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A method of planning a direction of growth of a student, the method comprising:
acquiring a learning completion degree parameter, and calculating through a student comprehensive ability evaluation model to obtain a secondary evaluation index parameter;
calculating to obtain a primary evaluation index parameter according to the secondary evaluation index parameter;
and analyzing the primary evaluation index parameters to obtain a planning suggestion.
2. The method of planning student growth directions according to claim 1,
the learning completion degree parameters comprise one or more of work issuing times, time for submitting work each time, work submitting times, score for work each time, classroom question answering times and classroom question answering correct times;
the first-level evaluation index parameters comprise values corresponding to one or more student abilities in learning ability, executive ability, cooperation ability, organization ability, communication ability and logic analysis ability.
3. The method of planning student growth directions according to claim 1,
the step of calculating to obtain the secondary evaluation index parameters comprises the following steps:
acquiring the learning completion degree parameter, and calculating to obtain a third-level evaluation index parameter;
and calculating to obtain a secondary evaluation index parameter according to the tertiary evaluation index parameter.
4. A method of planning the growth direction of a student according to claim 3 wherein:
the formula for calculating the three-level evaluation index parameters comprises the following steps:
Figure FDA0002437067100000011
wherein S is1A representative job submission time parameter;
Aithe method comprises the steps of representing a job submission time score when the ith job is submitted on time, wherein a represents the number of times of submitting the job on time and is more than or equal to 1;
Birepresents the job submission time score of the ith early crossing job, b represents the number of early crossing jobs, and b is not less than 1；
CiThe time score of the job submission is shown when the ith delayed transaction job is carried out, c shows the number of delayed transaction jobs, and c is more than or equal to 1;
Dithe score of the job submitting time when the ith time of the non-transaction job is represented, d represents the number of times of the non-transaction job, and d is more than or equal to 1;
x represents the number of job issuance times, and x is a + b + c + d.
5. The method of claim 4, wherein the step of:
a job submission time score A when the ith on-time job is submittediThe calculation formula of (2) is as follows:
Ai＝5，
wherein i is more than or equal to 1; if the number of on-time submission of the job is 0, AiThe value of (A) is 0;
a job submission time score B at the ith-time early crossing jobiThe calculation formula of (2) is as follows:
Bihours of early crossing/6 +5,
wherein i is more than or equal to 1; if the number of the early crossing operation is 0, BiThe value of (A) is 0;
a job submission time score C at the ith delayed transactioniThe calculation formula of (2) is as follows:
Ci5-number of delayed crossing minutes/6,
wherein i is more than or equal to 1; if the number of delayed transactions is 0, then CiThe value of (A) is 0;
the score D of the ith time of the missed jobiThe calculation formula of (2) is as follows:
Di＝0，
wherein i is more than or equal to 1; if the number of times of the non-transaction operation is 0, DiThe value of (A) is 0.
6. A method of planning the growth direction of a student according to claim 3 wherein:
the formula for calculating the three-level evaluation index parameters comprises the following steps:
Figure FDA0002437067100000021
wherein S is2Representing a job score parameter; eiRepresents the ith job score; e represents the number of times of submission of the job, and e is more than or equal to 1.
7. A method of planning the growth direction of a student according to claim 3 wherein:
the formula for calculating the three-level evaluation index parameters comprises the following steps:
Figure FDA0002437067100000022
wherein S is3Representing a correct rate parameter; fiScoring the ith classroom answer; f represents the number of times of submitting the classroom answers, and f is more than or equal to 1.
8. A method of planning the growth direction of a student according to claim 3 wherein:
the formula for calculating the three-level evaluation index parameters comprises the following steps:
S4＝g/G；
wherein S is4A participation parameter; g is the number of times of submitting classroom answers; g is the pushing times of classroom answers, G is more than or equal to 0, and G is more than or equal to 1.
9. A method of planning the growth direction of a student according to any one of claims 3 to 8 wherein:
the formula for calculating the secondary evaluation index parameters comprises the following steps:
Figure FDA0002437067100000031
wherein S is5Representing a attendance time parameter;
Hirepresents the attendance time score of the ith morning arrival;
Jiindicating the i-th punctual outputA time score for attendance;
Kirepresents the attendance time score for the ith late time;
l represents attendance checking times, h, j and k represent the times of early attendance, punctual attendance and late attendance respectively; k. h and j are both more than or equal to 1, and l is h + j + k;
the attendance time score H of the ith arrival timeiThe calculation formula is as follows:
Hinumber of early minutes/60 +0.5,
wherein i is more than or equal to 1; if the number of early attendance is 0, then HiThe value of (A) is 0;
the attendance time score J of the ith on-time attendanceiThe calculation formula of (2) is as follows:
Ji＝0.5，
wherein i is more than or equal to 1; if the number of on-time attendance is 0, JiThe value of (A) is 0;
the attendance time score K of the ith late arrivaliThe calculation formula of (2) is as follows:
Ki0.5-late minutes/60,
wherein i is more than or equal to 1; if the number of late attendance is 0, KiThe value of (A) is 0.
10. A system for planning the growth direction of a student, the system comprising:
the acquisition module is used for acquiring the learning completion degree parameters and calculating through a student comprehensive ability evaluation model to obtain secondary evaluation index parameters;
the calculation module is used for calculating a primary evaluation index parameter according to the secondary evaluation index parameter;
and the pushing module is used for acquiring the primary evaluation index parameters, analyzing the primary evaluation index parameters and obtaining and pushing the planning suggestions.
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