CN117371937A - Online break-through card punching operation method based on educational administration management system - Google Patents

Online break-through card punching operation method based on educational administration management system Download PDF

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CN117371937A
CN117371937A CN202311316435.2A CN202311316435A CN117371937A CN 117371937 A CN117371937 A CN 117371937A CN 202311316435 A CN202311316435 A CN 202311316435A CN 117371937 A CN117371937 A CN 117371937A
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曹远东
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Hangzhou Jiejing Science And Technology Co ltd
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Abstract

The invention discloses an online break-through card-punching operation method based on a educational administration management system, which relates to the technical field of education informatization.

Description

Online break-through card punching operation method based on educational administration management system
Technical Field
The invention relates to the technical field of education informatization, in particular to an online break-through card punching operation method based on a educational administration management system.
Background
With the rapid development of education informatization, more and more schools begin to adopt educational administration systems to conduct work such as student information management and course management. The educational administration management system has the advantages that student information, teacher information and course information can be conveniently managed, meanwhile, online release and management of course content can be realized, but the teacher cannot leave the homework for teaching, the completion condition of homework reflects the knowledge point mastering condition of a class, and therefore, the educational administration management system is required to monitor and manage the homework condition of students;
the traditional educational administration management system can only provide simple functions such as basic information of courses and submitting of jobs, and the choice and generation of the topics of the jobs are completed by teachers, the jobs corresponding to the classes cannot be automatically generated according to the types of knowledge points set by the teachers, the intelligent and automatic choice and generation of the jobs cannot be embodied, the workload and workload of the teachers are improved, meanwhile, the conventional jobs are not provided with checkpoints, and the interestingness and the challenges of the jobs are lacked. On the other hand, when the student makes homework and makes a break, the time when the student makes each checkpoint is not monitored and analyzed, the rationality of the time of the student in the process of finishing homework cannot be reflected, and then the cheating phenomenon of the student in the process of finishing homework cannot be reduced, so that the difficulty and quality of homework are difficult to be ensured, the consolidation of knowledge points by the student cannot be improved, and the learning effect of the student and the teaching quality of teachers are reduced.
Disclosure of Invention
The invention aims to provide an online break-through card punching operation method based on a educational administration management system, which solves the problems in the background technology.
In order to solve the technical problems, the invention adopts the following technical scheme: the invention provides an online break-through card punching operation method based on a educational administration management system, which comprises the following steps: step one, information acquisition: acquiring an end time point, various knowledge points and a difficulty level interval corresponding to the various knowledge points which are correspondingly set by the class homework, and acquiring the number of checkpoints of each historical homework in the class, the completion degree and total score corresponding to each student;
step two, job generation: according to the completion degree and total score of students corresponding to each historical operation in the class, calculating a corresponding advanced evaluation coefficient of the class, further confirming the upper limit level of difficulty corresponding to each knowledge point in the class operation according to the level interval corresponding to each knowledge point in the class operation, analyzing the number of checkpoints corresponding to each knowledge point in the class operation, analyzing the level of difficulty and the number of questions corresponding to each checkpoint in the class operation, extracting historical operation information corresponding to each question in each level of difficulty in each knowledge point from a database, calculating the priority value of each question in each level of knowledge point, and further obtaining each question corresponding to each checkpoint in the class operation according to the level of difficulty corresponding to each knowledge point in the class operation, the number of questions and the priority value of each question in each level of knowledge point in the class operation, and further generating operation corresponding to the class and issuing;
step three, card punching and obtaining: when each student in a class performs homework, acquiring a starting time point, a stay time and a score corresponding to each checkpoint of each student;
step four, operation analysis: calculating the homework evaluation coefficients corresponding to the students according to the starting time points, the stay time and the scores of the students corresponding to the checkpoints, judging the homework states corresponding to the students, and executing the fifth step if the homework state corresponding to a certain student is poor;
step five, operation prompting: when the homework state corresponding to a student is poor, the student is sent to a teacher user side for prompting.
Preferably, the step evaluation coefficient corresponding to the class is calculated, and the specific calculation process is as follows: the completion degree of each time of history homework corresponding to each student in the class is calculated by means of average value to obtain the average completion degree of the history homework of the class students, and the total score of each time of history homework corresponding to each student in the class is calculated by means of average value to obtain the average total score of the history homework of the class students according to a calculation formulaObtaining a corresponding advanced evaluation coefficient of the class, wherein w and f respectively represent the average completion degree and the average total score of the historical homework of the class students, and +.>、/>Respectively, the completion degree of the set reference operation, the total score of the reference operation,/->、/>Respectively setting weight factors corresponding to the average completion degree and the average total score of the operation.
Preferably, the confirmation of the difficulty upper limit level corresponding to each type of knowledge point in the class operation includes the following specific confirmation process: comparing the advanced evaluation coefficient corresponding to the class with a preset advanced evaluation coefficient threshold, if the advanced evaluation coefficient corresponding to the class is smaller than the preset advanced evaluation coefficient threshold, judging that the difficulty of the class operation is not upgraded, and taking the upper limit of the difficulty level in the difficulty level interval corresponding to the class operation and set to various knowledge points as the upper limit of the difficulty level corresponding to various knowledge points in the class operation;
if the advanced evaluation coefficient corresponding to the class is greater than or equal to a preset advanced evaluation coefficient threshold, judging the difficulty level upgrading of the class operation, comparing the advanced evaluation coefficient corresponding to the class with the reference difficulty level increment corresponding to each advanced evaluation coefficient interval, and if the advanced evaluation coefficient corresponding to the class is in a certain advanced evaluation coefficient interval, taking the reference difficulty level increment corresponding to the advanced evaluation coefficient interval as the reference difficulty level increment corresponding to each knowledge point in the class operation, and further adding the upper limit of the difficulty level in the difficulty level interval corresponding to each knowledge point set by the class operation to the reference difficulty level increment corresponding to each knowledge point to obtain the upper limit of the difficulty level corresponding to each knowledge point in the class operation.
Preferably, the analyzing the number of the checkpoints corresponding to the class operation includes the following specific analysis process: setting the lower limit level of the difficulty level interval of each knowledge point corresponding to the class operation as the lower limit level of the difficulty corresponding to each knowledge point in the class operation, thereby obtaining the number of the difficulty levels corresponding to each knowledge point in the class operation according to the lower limit level and the upper limit level of the difficulty corresponding to each knowledge point in the class operation;
and comparing the completion degrees of the students corresponding to the historical homework in the class with each other, selecting the most completion degrees from the comparison as the student completion degrees corresponding to the historical homework in the class, thereby obtaining the student completion degrees corresponding to the number of the checkpoints in the historical homework in the class according to the number of the checkpoints and the student completion degrees of the historical homework in the class, further carrying out average calculation on the student completion degrees corresponding to the number of the checkpoints in the historical homework in the class to obtain the average student completion degrees corresponding to the number of the checkpoints in the historical homework in the class, and further comparing the average student completion degrees corresponding to the number of the checkpoints in the historical homework in the class with a preset completion degree threshold value, and if the average student completion degree corresponding to the number of the checkpoints in the historical homework in the class is greater than the preset completion degree threshold value. The number of the checkpoints is used as the number of the reference checkpoints of the class, and the number of the reference checkpoints corresponding to the class is obtained in this way;
comparing the number of difficulty levels corresponding to various knowledge points in the class operation with the number of reference checkpoints corresponding to the preset number of difficulty levels to obtain the number of reference checkpoints corresponding to various knowledge points in the class operation, and selecting the maximum number of reference checkpoints from the number of reference checkpoints as the number of target checkpoints corresponding to the class operation;
and comparing the target checkpoint number corresponding to the class operation with the reference checkpoint number, taking the target checkpoint number as the checkpoint number corresponding to the class operation if the target checkpoint number corresponding to the class operation is the same as a certain reference checkpoint number, and taking the reference checkpoint number with the minimum difference value with the target checkpoint number as the checkpoint number corresponding to the class operation if the target checkpoint number corresponding to the class operation is different from the reference checkpoint number.
Preferably, the analyzing the difficulty level and the number of topics corresponding to various knowledge points by each level in the class operation comprises the following steps: a1, comparing the number of the checkpoints corresponding to the class operation with the number of the difficulty levels corresponding to various knowledge points, and if the number of the checkpoints corresponding to the class operation is greater than or equal to the number of the difficulty levels corresponding to certain knowledge points, sequencing the difficulty levels corresponding to the class knowledge points according to an ascending order, wherein the sequencing result is the corresponding checkpoint order;
a2, if the number of the checkpoints corresponding to the class operation is smaller than the number of the difficulty levels corresponding to certain types of knowledge points, placing all the difficulty levels in the class knowledge points which are larger than the upper limit level of the difficulty in the set class knowledge point difficulty level interval into the first checkpoint at the end, placing all the rest of the difficulty levels in the class knowledge points into checkpoints in the corresponding sequence according to the ascending sequence sequencing result, and if all the difficulty levels still remain in the class knowledge points after the end of the sequential placement, placing all the rest of the difficulty levels in the class knowledge points into the second checkpoint at the end, and analyzing to obtain the difficulty levels of all the knowledge points corresponding to all the classes of knowledge points in the class operation;
a3, extracting the reference question number corresponding to the difficulty level of each class of knowledge point in the preset advanced evaluation coefficient interval from the database, obtaining the reference question number corresponding to the difficulty level of each class of knowledge point according to the advanced evaluation coefficient corresponding to the class, and obtaining the reference question number corresponding to each class of knowledge point in the class according to the difficulty level of each class of knowledge point corresponding to each class of class in the class operation as the question number corresponding to each class of knowledge point in the class operation.
Preferably, the calculating the priority value of each question in each difficulty level in each knowledge point comprises the following specific calculating process: extracting the occurrence times and average scores corresponding to the questions in the difficulty levels in the knowledge points from the historical operation information corresponding to the questions in the difficulty levels in the knowledge points, and substituting the obtained results into a calculation formulaIn the method, a priority value of a y-th question in a j-th difficulty level in an i-th knowledge point is obtained>Wherein->、/>Respectively representing the occurrence times and average scores of the y-th questions in the j-th difficulty level in the i-th knowledge point, c and +.>The number of times of occurrence of the set reference questions and the average score of the reference questions are respectively +.>、/>The number of occurrence times of the set topics and the weight factors corresponding to the average scores are respectively set, i represents the numbers corresponding to various knowledge points, i=1, 2. J represents the number corresponding to each difficulty level, j=1, 2....m., y represents the number corresponding to each title, j=1, 2....m, y represents the number corresponding to each question.
Preferably, the calculation of the job evaluation coefficients corresponding to the students includes the following specific calculation processes: obtaining the target remaining duration of each student corresponding to each checkpoint according to the ending time point set corresponding to the class homework and the starting time point of each student corresponding to each checkpoint, and marking as ST gr G represents the number corresponding to each student, g=1, 2....x, r represents the number corresponding to each checkpoint, r=1, 2. The number z is a number, x and z are any integer greater than 2;
according to the calculation formulaObtaining the homework evaluation coefficient corresponding to the g-th student->Wherein ST, LT, f 0 The fatness T is respectively set up residual time length of the permission level, stay time length of the reference level, question score of the reference level, interval time difference of the permission level and LT gr 、f gr 、T gr Respectively represent the stay time, the score, the value and the like of the g students at the r-th checkpoint,Start time point, T g（r+1） Indicating the starting time point corresponding to the (r+1) th checkpoint of the (g) th student,>、/>、/>、/>the corresponding weight factors are respectively set up for the rest time length of the checkpoint, the stay time length of the checkpoint, the score of the checkpoint title and the time difference between the checkpoints.
Preferably, the specific judging process is as follows: comparing the homework evaluation coefficient corresponding to each student with a preset homework evaluation coefficient threshold, if the homework evaluation coefficient corresponding to a certain student is smaller than the homework evaluation coefficient threshold, judging that the homework state corresponding to the student is poor, and judging that the homework state corresponding to the student is good by the regularization, so that the homework state corresponding to each student is judged.
The invention has the beneficial effects that: 1. the invention provides an online jogging and punching operation method based on a educational administration management system, which is characterized in that the number of checkpoints in operation and the difficulty level of each checkpoint corresponding to each knowledge point in operation are confirmed according to each knowledge point in the set operation and the difficulty level of each knowledge point corresponding to each knowledge point, and then the number and each question corresponding to each knowledge point in each checkpoint are selected, so that the operation is generated, the completion time and the question score of students are analyzed in the process of completing the operation, the operation state of the students is confirmed, the problem that no operation is automatically generated in the prior art is solved, the intelligent and automatic selection and generation of the operation are realized, the workload and the workload of teachers are reduced, meanwhile, the interestingness and the challenge of the operation are greatly improved, the time rationality of the students in the process of completing the operation is clearly reflected, the cheating phenomenon of the students in the process of completing the operation is avoided, the difficulty and the quality of the operation are ensured, the learning effect and the teaching quality of the students on the knowledge points are effectively improved.
2. According to the invention, in the homework generation, the corresponding advanced evaluation coefficient of the class is analyzed according to the completion degree and total score of each student corresponding to each historical homework of the class, so that the corresponding difficulty level upgrading condition of the class homework is analyzed, a reference is provided for the selection of the questions in the subsequent homework, meanwhile, the targeted analysis of the question difficulty is realized, the flexibility selection of the homework questions is improved, and the homework challenges and the knowledge points of students are increased.
3. According to the invention, the homework is displayed in the form of the level in homework generation, so that the interestingness and the challenge of the homework are improved, the students feel the fun and the tension of the game in the process of finishing the homework, the interestingness of the students to the homework is greatly improved, and the completion of the homework is improved.
4. According to the invention, the rationality of each student at each checkpoint time and the qualification of the score are analyzed by monitoring the condition of each student in the process of completing the homework in the process of punching cards, so that the cheating phenomenon is prevented, the homework difficulty and quality are ensured, and the accuracy and the rigor of the homework score are improved.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of the steps of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides an online break-through card punching operation method based on a educational administration management system, which comprises the following steps: step one, information acquisition: acquiring an end time point, various knowledge points and a difficulty level interval corresponding to the various knowledge points which are correspondingly set by the class homework, and acquiring the number of checkpoints of each historical homework in the class, the completion degree and total score corresponding to each student;
it should be noted that, a teacher logs in the educational administration management system on the user side, and sets an end time point, various knowledge points and a difficulty level interval corresponding to various knowledge points corresponding to class operation in an operation management module of the educational administration management system; the user terminal comprises a computer, a mobile phone, a tablet and the like.
The number of checkpoints of each historical operation in the class, the corresponding completion degree of each student and the total score are extracted from the database.
Step two, job generation: according to the completion degree and total score of students corresponding to each historical operation in the class, calculating a corresponding advanced evaluation coefficient of the class, further confirming the upper limit level of difficulty corresponding to each knowledge point in the class operation according to the level interval corresponding to each knowledge point in the class operation, analyzing the number of checkpoints corresponding to each knowledge point in the class operation, analyzing the level of difficulty and the number of questions corresponding to each checkpoint in the class operation, extracting historical operation information corresponding to each question in each level of difficulty in each knowledge point from a database, calculating the priority value of each question in each level of knowledge point, and further obtaining each question corresponding to each checkpoint in the class operation according to the level of difficulty corresponding to each knowledge point in the class operation, the number of questions and the priority value of each question in each level of knowledge point in the class operation, and further generating operation corresponding to the class and issuing;
in a specific embodiment, the calculationThe step evaluation coefficient corresponding to the class is specifically calculated as follows: the completion degree of each time of history homework corresponding to each student in the class is calculated by means of average value to obtain the average completion degree of the history homework of the class students, and the total score of each time of history homework corresponding to each student in the class is calculated by means of average value to obtain the average total score of the history homework of the class students according to a calculation formulaObtaining a corresponding advanced evaluation coefficient of the class, wherein w and f respectively represent the average completion degree and the average total score of the historical homework of the class students, and +.>、/>Respectively, the completion degree of the set reference operation, the total score of the reference operation,/->、/>Respectively setting weight factors corresponding to the average completion degree and the average total score of the operation.
According to the invention, in the homework generation, the corresponding advanced evaluation coefficient of the class is analyzed according to the completion degree and total score of each student corresponding to each historical homework of the class, so that the corresponding difficulty level upgrading condition of the class homework is analyzed, a reference is provided for the selection of the questions in the subsequent homework, meanwhile, the targeted analysis of the question difficulty is realized, the flexibility selection of the homework questions is improved, and the homework challenges and the knowledge points of students are increased.
In another specific embodiment, the confirmation of the difficulty upper limit level corresponding to each type of knowledge point in the class job includes the following specific confirmation process: comparing the advanced evaluation coefficient corresponding to the class with a preset advanced evaluation coefficient threshold, if the advanced evaluation coefficient corresponding to the class is smaller than the preset advanced evaluation coefficient threshold, judging that the difficulty of the class operation is not upgraded, and taking the upper limit of the difficulty level in the difficulty level interval corresponding to the class operation and set to various knowledge points as the upper limit of the difficulty level corresponding to various knowledge points in the class operation;
if the advanced evaluation coefficient corresponding to the class is greater than or equal to a preset advanced evaluation coefficient threshold, judging the difficulty level upgrading of the class operation, comparing the advanced evaluation coefficient corresponding to the class with the reference difficulty level increment corresponding to each advanced evaluation coefficient interval, and if the advanced evaluation coefficient corresponding to the class is in a certain advanced evaluation coefficient interval, taking the reference difficulty level increment corresponding to the advanced evaluation coefficient interval as the reference difficulty level increment corresponding to each knowledge point in the class operation, and further adding the upper limit of the difficulty level in the difficulty level interval corresponding to each knowledge point set by the class operation to the reference difficulty level increment corresponding to each knowledge point to obtain the upper limit of the difficulty level corresponding to each knowledge point in the class operation.
In another specific embodiment, the number of checkpoints corresponding to the class job is analyzed, and the specific analysis process is as follows: setting the lower limit level of the difficulty level interval of each knowledge point corresponding to the class operation as the lower limit level of the difficulty corresponding to each knowledge point in the class operation, thereby obtaining the number of the difficulty levels corresponding to each knowledge point in the class operation according to the lower limit level and the upper limit level of the difficulty corresponding to each knowledge point in the class operation;
and comparing the completion degrees of the students corresponding to the historical homework in the class with each other, selecting the most completion degrees from the comparison as the student completion degrees corresponding to the historical homework in the class, thereby obtaining the student completion degrees corresponding to the number of the checkpoints in the historical homework in the class according to the number of the checkpoints and the student completion degrees of the historical homework in the class, further carrying out average calculation on the student completion degrees corresponding to the number of the checkpoints in the historical homework in the class to obtain the average student completion degrees corresponding to the number of the checkpoints in the historical homework in the class, and further comparing the average student completion degrees corresponding to the number of the checkpoints in the historical homework in the class with a preset completion degree threshold value, and if the average student completion degree corresponding to the number of the checkpoints in the historical homework in the class is greater than the preset completion degree threshold value. The number of the checkpoints is used as the number of the reference checkpoints of the class, and the number of the reference checkpoints corresponding to the class is obtained in this way;
comparing the number of difficulty levels corresponding to various knowledge points in the class operation with the number of reference checkpoints corresponding to the preset number of difficulty levels to obtain the number of reference checkpoints corresponding to various knowledge points in the class operation, and selecting the maximum number of reference checkpoints from the number of reference checkpoints as the number of target checkpoints corresponding to the class operation;
and comparing the target checkpoint number corresponding to the class operation with the reference checkpoint number, taking the target checkpoint number as the checkpoint number corresponding to the class operation if the target checkpoint number corresponding to the class operation is the same as a certain reference checkpoint number, and taking the reference checkpoint number with the minimum difference value with the target checkpoint number as the checkpoint number corresponding to the class operation if the target checkpoint number corresponding to the class operation is different from the reference checkpoint number.
According to the embodiment of the invention, the number of the checkpoints corresponding to the class is analyzed, so that the defect of insufficient student closing-running experience caused by the fact that the number of the checkpoints is small in the follow-up process is avoided, the interestingness and the challenge of the homework are reduced, meanwhile, the fatigue of the student closing running caused by the fact that the number of the checkpoints is too large is avoided, and the completion degree of the homework is reduced.
In a specific embodiment, the analyzing the difficulty level and the number of questions corresponding to each class of knowledge points in the class operation includes the following steps: a1, comparing the number of the checkpoints corresponding to the class operation with the number of the difficulty levels corresponding to various knowledge points, and if the number of the checkpoints corresponding to the class operation is greater than or equal to the number of the difficulty levels corresponding to certain knowledge points, sequencing the difficulty levels corresponding to the class knowledge points according to an ascending order, wherein the sequencing result is the corresponding checkpoint order;
a2, if the number of the checkpoints corresponding to the class operation is smaller than the number of the difficulty levels corresponding to certain types of knowledge points, placing all the difficulty levels in the class knowledge points which are larger than the upper limit level of the difficulty in the set class knowledge point difficulty level interval into the first checkpoint at the end, placing all the rest of the difficulty levels in the class knowledge points into checkpoints in the corresponding sequence according to the ascending sequence sequencing result, and if all the difficulty levels still remain in the class knowledge points after the end of the sequential placement, placing all the rest of the difficulty levels in the class knowledge points into the second checkpoint at the end, and analyzing to obtain the difficulty levels of all the knowledge points corresponding to all the classes of knowledge points in the class operation;
a3, extracting the reference question number corresponding to the difficulty level of each class of knowledge point in the preset advanced evaluation coefficient interval from the database, obtaining the reference question number corresponding to the difficulty level of each class of knowledge point according to the advanced evaluation coefficient corresponding to the class, and obtaining the reference question number corresponding to each class of knowledge point in the class according to the difficulty level of each class of knowledge point corresponding to each class of class in the class operation as the question number corresponding to each class of knowledge point in the class operation.
The historical operation information corresponding to each question in each difficulty level in each knowledge point comprises the occurrence times and average scores corresponding to each question in each difficulty level in each knowledge point.
In another specific embodiment, the calculating the priority value of each question in each difficulty level in each knowledge point specifically includes the following steps: extracting the occurrence times and average scores corresponding to the questions in the difficulty levels in the knowledge points from the historical operation information corresponding to the questions in the difficulty levels in the knowledge points, and substituting the obtained results into a calculation formulaIn the method, a priority value of a y-th question in a j-th difficulty level in an i-th knowledge point is obtained>Wherein->、/>Respectively representing the occurrence times and average scores of the y-th questions in the j-th difficulty level in the i-th knowledge point, c and +.>The number of times of occurrence of the set reference questions and the average score of the reference questions are respectively +.>、/>The number of occurrence times of the set topics and the weight factors corresponding to the average scores are respectively set, i represents the numbers corresponding to various knowledge points, i=1, 2. J represents the number corresponding to each difficulty level, j=1, 2....m., y represents the number corresponding to each title, j=1, 2....m, y represents the number corresponding to each question.
The teacher uploads the questions through the user side in the operation management module of the educational administration management system, and sets the knowledge point type and the difficulty level corresponding to the questions; when the task is used for selecting the questions, the questions with fewer occurrence times are preferentially selected, so that the diversity of the questions is improved, and leakage of answers of the questions is avoided.
In a specific embodiment, the specific analysis process of obtaining each title corresponding to each checkpoint in the class operation is as follows: and sorting the priority values of the questions in the difficulty levels in the knowledge points according to descending order to obtain the sequence of the questions in the difficulty levels in the knowledge points, obtaining the corresponding checkpoints of the difficulty levels in the knowledge points and the number of the questions in the corresponding checkpoints according to the difficulty levels and the number of the questions corresponding to the knowledge points in the class operation, and obtaining the questions corresponding to the checkpoints in the class operation in such a way if the sequence of the questions in the difficulty level in the knowledge points is smaller than or equal to the number of the questions in the corresponding checkpoints, wherein the questions are used as the questions corresponding to the checkpoints in the class operation.
After the job is generated, the job is automatically sent to the user end corresponding to each student in the class, and the students are prompted to complete the homework.
Step three, card punching and obtaining: when each student in a class performs homework, acquiring a starting time point, a stay time and a score corresponding to each checkpoint of each student;
it should be noted that, each difficulty level corresponds to each question in each knowledge point in the database and is provided with a fixed score, and the homework management module of the educational administration management system analyzes and judges the answers of the students, so as to obtain the scores of the students corresponding to each checkpoint, and meanwhile, the homework management module of the educational administration management system is provided with a timing unit, so that the timing unit is used for collecting the starting time point and the stay time of each student corresponding to each checkpoint.
According to the invention, the rationality of each student at each checkpoint time and the qualification of the score are analyzed by monitoring the condition of each student in the process of completing the homework in the process of punching cards, so that the cheating phenomenon is prevented, the homework difficulty and quality are ensured, and the accuracy and the rigor of the homework score are improved.
Step four, operation analysis: calculating the homework evaluation coefficients corresponding to the students according to the starting time points, the stay time and the scores of the students corresponding to the checkpoints, judging the homework states corresponding to the students, and executing the fifth step if the homework state corresponding to a certain student is poor;
in a specific embodiment, the calculation of the job evaluation coefficient corresponding to each student includes the following specific calculation process: obtaining the target remaining duration of each student corresponding to each checkpoint according to the ending time point set corresponding to the class homework and the starting time point of each student corresponding to each checkpoint, and marking as ST gr G represents the number corresponding to each student, g=1, 2....x, r represents the number corresponding to each checkpoint, r=1, 2. The number z is a number, x and z are any integer greater than 2;
according to the calculation formulaObtaining the homework evaluation coefficient corresponding to the g-th student->Wherein ST, LT, f 0 The fatness T is respectively set up residual time length of the permission level, stay time length of the reference level, question score of the reference level, interval time difference of the permission level and LT gr 、f gr 、T gr Respectively representing the stay time, the score and the starting time point corresponding to the g-th student at the r-th checkpoint, T g（r+1） Indicating the starting time point corresponding to the (r+1) th checkpoint of the (g) th student,>、/>、/>、/>the corresponding weight factors are respectively set up for the rest time length of the checkpoint, the stay time length of the checkpoint, the score of the checkpoint title and the time difference between the checkpoints.
In another specific embodiment, the specific judging process is as follows: comparing the homework evaluation coefficient corresponding to each student with a preset homework evaluation coefficient threshold, if the homework evaluation coefficient corresponding to a certain student is smaller than the homework evaluation coefficient threshold, judging that the homework state corresponding to the student is poor, and judging that the homework state corresponding to the student is good by the regularization, so that the homework state corresponding to each student is judged.
Step five, operation prompting: when the homework state corresponding to a student is poor, the student is sent to a teacher user side for prompting.
According to the embodiment of the invention, the number of the checkpoints in the homework and the difficulty level of the corresponding knowledge points in each checkpoint are confirmed according to the set knowledge points in the homework and the difficulty level of the corresponding knowledge points in each checkpoint, so that the number of the corresponding knowledge points in each checkpoint and each question are selected, the homework is generated, the completion time and the question score of the student are analyzed in the process of completing the homework by the student, the homework doing state of the student is confirmed, the problem that no homework is automatically generated in the prior art is solved, the intelligent and automatic selection and generation of the homework are realized, the workload and workload of teachers are reduced, meanwhile, the interestingness and the challenge of the homework are greatly improved, the rationality of the student in the process of completing the homework is clearly reflected, the cheating phenomenon of the student in the process of completing the homework is avoided, the homework difficulty and the quality are ensured, the consolidation of the student on the knowledge points is effectively improved, and the learning effect of the student and the teaching quality of the teacher are ensured.
The foregoing is merely illustrative and explanatory of the principles of the invention, as various modifications and additions may be made to the specific embodiments described, or similar thereto, by those skilled in the art, without departing from the principles of the invention or beyond the scope of the appended claims.

Claims (8)

1. An online break-through card punching operation method based on a educational administration management system is characterized by comprising the following steps:
step one, information acquisition: acquiring an end time point, various knowledge points and a difficulty level interval corresponding to the various knowledge points which are correspondingly set by the class homework, and acquiring the number of checkpoints of each historical homework in the class, the completion degree and total score corresponding to each student;
step two, job generation: according to the completion degree and total score of students corresponding to each historical operation in the class, calculating a corresponding advanced evaluation coefficient of the class, further confirming the upper limit level of difficulty corresponding to each knowledge point in the class operation according to the level interval corresponding to each knowledge point in the class operation, analyzing the number of checkpoints corresponding to each knowledge point in the class operation, analyzing the level of difficulty and the number of questions corresponding to each checkpoint in the class operation, extracting historical operation information corresponding to each question in each level of difficulty in each knowledge point from a database, calculating the priority value of each question in each level of knowledge point, and further obtaining each question corresponding to each checkpoint in the class operation according to the level of difficulty corresponding to each knowledge point in the class operation, the number of questions and the priority value of each question in each level of knowledge point in the class operation, and further generating operation corresponding to the class and issuing;
step three, card punching and obtaining: when each student in a class performs homework, acquiring a starting time point, a stay time and a score corresponding to each checkpoint of each student;
step four, operation analysis: calculating the homework evaluation coefficients corresponding to the students according to the starting time points, the stay time and the scores of the students corresponding to the checkpoints, judging the homework states corresponding to the students, and executing the fifth step if the homework state corresponding to a certain student is poor;
step five, operation prompting: when the homework state corresponding to a student is poor, the student is sent to a teacher user side for prompting.
2. The online break-through card punching operation method based on the educational administration management system as set forth in claim 1, wherein the step evaluation coefficient corresponding to the calculation class is calculated as follows:
the completion degree of each time of history homework corresponding to each student in the class is calculated by means of average value to obtain the average completion degree of the history homework of the class students, and the total score of each time of history homework corresponding to each student in the class is calculated by means of average value to obtain the average total score of the history homework of the class students according to a calculation formulaObtaining a corresponding advanced evaluation coefficient of the class, wherein w and f respectively represent the average completion degree and the average total score of the historical homework of the class students, and +.>、Respectively, the completion degree of the set reference operation, the total score of the reference operation,/->、/>Respectively setting weight factors corresponding to the average completion degree and the average total score of the operation.
3. The online break-through card punching operation method based on the educational administration management system according to claim 1, wherein the confirmation of the difficulty upper limit level corresponding to various knowledge points in the class operation comprises the following specific confirmation process:
comparing the advanced evaluation coefficient corresponding to the class with a preset advanced evaluation coefficient threshold, if the advanced evaluation coefficient corresponding to the class is smaller than the preset advanced evaluation coefficient threshold, judging that the difficulty of the class operation is not upgraded, and taking the upper limit of the difficulty level in the difficulty level interval corresponding to the class operation and set to various knowledge points as the upper limit of the difficulty level corresponding to various knowledge points in the class operation;
if the advanced evaluation coefficient corresponding to the class is greater than or equal to a preset advanced evaluation coefficient threshold, judging the difficulty level upgrading of the class operation, comparing the advanced evaluation coefficient corresponding to the class with the reference difficulty level increment corresponding to each advanced evaluation coefficient interval, and if the advanced evaluation coefficient corresponding to the class is in a certain advanced evaluation coefficient interval, taking the reference difficulty level increment corresponding to the advanced evaluation coefficient interval as the reference difficulty level increment corresponding to each knowledge point in the class operation, and further adding the upper limit of the difficulty level in the difficulty level interval corresponding to each knowledge point set by the class operation to the reference difficulty level increment corresponding to each knowledge point to obtain the upper limit of the difficulty level corresponding to each knowledge point in the class operation.
4. The online break-through card punching operation method based on the educational administration management system according to claim 1, wherein the number of checkpoints corresponding to the class operation is analyzed, and the specific analysis process is as follows:
setting the lower limit level of the difficulty level interval of each knowledge point corresponding to the class operation as the lower limit level of the difficulty corresponding to each knowledge point in the class operation, thereby obtaining the number of the difficulty levels corresponding to each knowledge point in the class operation according to the lower limit level and the upper limit level of the difficulty corresponding to each knowledge point in the class operation;
and comparing the completion degrees of the students corresponding to the historical homework in the class with each other, selecting the most completion degrees from the comparison as the student completion degrees corresponding to the historical homework in the class, thereby obtaining the student completion degrees corresponding to the number of the checkpoints in the historical homework in the class according to the number of the checkpoints and the student completion degrees of the historical homework in the class, further carrying out average calculation on the student completion degrees corresponding to the number of the checkpoints in the historical homework in the class to obtain the average student completion degrees corresponding to the number of the checkpoints in the historical homework in the class, and further comparing the average student completion degrees corresponding to the number of the checkpoints in the historical homework in the class with a preset completion degree threshold value, and if the average student completion degree corresponding to the number of the checkpoints in the historical homework in the class is greater than the preset completion degree threshold value. The number of the checkpoints is used as the number of the reference checkpoints of the class, and the number of the reference checkpoints corresponding to the class is obtained in this way;
comparing the number of difficulty levels corresponding to various knowledge points in the class operation with the number of reference checkpoints corresponding to the preset number of difficulty levels to obtain the number of reference checkpoints corresponding to various knowledge points in the class operation, and selecting the maximum number of reference checkpoints from the number of reference checkpoints as the number of target checkpoints corresponding to the class operation;
and comparing the target checkpoint number corresponding to the class operation with the reference checkpoint number, taking the target checkpoint number as the checkpoint number corresponding to the class operation if the target checkpoint number corresponding to the class operation is the same as a certain reference checkpoint number, and taking the reference checkpoint number with the minimum difference value with the target checkpoint number as the checkpoint number corresponding to the class operation if the target checkpoint number corresponding to the class operation is different from the reference checkpoint number.
5. The method for online break-through card punching operation based on educational administration management system according to claim 1, wherein the specific analysis process is as follows:
a1, comparing the number of the checkpoints corresponding to the class operation with the number of the difficulty levels corresponding to various knowledge points, and if the number of the checkpoints corresponding to the class operation is greater than or equal to the number of the difficulty levels corresponding to certain knowledge points, sequencing the difficulty levels corresponding to the class knowledge points according to an ascending order, wherein the sequencing result is the corresponding checkpoint order;
a2, if the number of the checkpoints corresponding to the class operation is smaller than the number of the difficulty levels corresponding to certain types of knowledge points, placing all the difficulty levels in the class knowledge points which are larger than the upper limit level of the difficulty in the set class knowledge point difficulty level interval into the first checkpoint at the end, placing all the rest of the difficulty levels in the class knowledge points into checkpoints in the corresponding sequence according to the ascending sequence sequencing result, and if all the difficulty levels still remain in the class knowledge points after the end of the sequential placement, placing all the rest of the difficulty levels in the class knowledge points into the second checkpoint at the end, and analyzing to obtain the difficulty levels of all the knowledge points corresponding to all the classes of knowledge points in the class operation;
a3, extracting the reference question number corresponding to the difficulty level of each class of knowledge point in the preset advanced evaluation coefficient interval from the database, obtaining the reference question number corresponding to the difficulty level of each class of knowledge point according to the advanced evaluation coefficient corresponding to the class, and obtaining the reference question number corresponding to each class of knowledge point in the class according to the difficulty level of each class of knowledge point corresponding to each class of class in the class operation as the question number corresponding to each class of knowledge point in the class operation.
6. The method for online break-through and punch-card operation based on educational administration management system of claim 1, wherein the calculating of the priority value of each question in each difficulty level in each knowledge point comprises the following specific calculating process:
extracting the occurrence times and average scores corresponding to the questions in the difficulty levels in the knowledge points from the historical operation information corresponding to the questions in the difficulty levels in the knowledge points, and substituting the obtained results into a calculation formulaIn the method, the priority value of the y-th question in the j-th difficulty level in the i-th knowledge point is obtainedWherein->、/>Respectively representing the occurrence times and average scores of the y-th questions in the j-th difficulty level in the i-th knowledge point, c and +.>The number of times of occurrence of the set reference questions and the average score of the reference questions are respectively +.>、/>The number of occurrence times of the set topics and the weight factors corresponding to the average scores are respectively set, i represents the numbers corresponding to various knowledge points, i=1, 2. J represents the number corresponding to each difficulty level, j=1, 2....m., y represents the number corresponding to each title, j=1, 2....m, y represents the number corresponding to each question.
7. The online jaywalking and punching operation method based on the educational administration management system as set forth in claim 1, wherein the operation evaluation coefficient corresponding to each student is calculated by the following specific calculation process:
obtaining the target remaining duration of each student corresponding to each checkpoint according to the ending time point set corresponding to the class homework and the starting time point of each student corresponding to each checkpoint, and marking as ST gr G represents the number corresponding to each student, g=1, 2....x, r represents the number corresponding to each checkpoint, r=1, 2. The number z is a number, x and z are any integer greater than 2;
according to the calculation formulaObtaining the homework evaluation coefficient corresponding to the g-th student->Wherein ST, LT, f 0 The fatness T is respectively set up residual time length of the permission level, stay time length of the reference level, question score of the reference level, interval time difference of the permission level and LT gr 、f gr 、T gr Respectively representing the stay time, the score and the starting time point corresponding to the g-th student at the r-th checkpoint, T g（r+1） Indicating the starting time point corresponding to the (r+1) th checkpoint of the (g) th student,>、/>、/>、/>the corresponding weight factors are respectively set up for the rest time length of the checkpoint, the stay time length of the checkpoint, the score of the checkpoint title and the time difference between the checkpoints.
8. The online break-through card punching operation method based on the educational administration management system according to claim 1, wherein the specific judgment process is as follows: comparing the homework evaluation coefficient corresponding to each student with a preset homework evaluation coefficient threshold, if the homework evaluation coefficient corresponding to a certain student is smaller than the homework evaluation coefficient threshold, judging that the homework state corresponding to the student is poor, and judging that the homework state corresponding to the student is good by the regularization, so that the homework state corresponding to each student is judged.
CN202311316435.2A 2023-10-12 2023-10-12 Online break-through card punching operation method based on educational administration management system Pending CN117371937A (en)

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