CN110727790B - Learning data report display method and system - Google Patents
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- G09B7/02—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
Abstract
The invention discloses a learning data report display method and a system, wherein the method comprises the following steps: collecting data of each examination participated by all students; acquiring knowledge point mastery according to data of each examination participated by students, setting a knowledge point mastery threshold, and when the knowledge point mastery is higher than the knowledge point mastery threshold and no related error is a dominant knowledge point, and when the knowledge point mastery is lower than the knowledge point mastery threshold, related error is a weak knowledge point; and generating a student learning data report according to the collected data of each examination in which all students participate and the importance of the knowledge points. The learning data report display method and the learning data report display system provided by the invention can be used for mastering the growth track of students, the differentiation of strong and weak knowledge points, historical weak knowledge points to be solved and the comparison condition of different knowledge points and class demerit conditions in detail, and can be used for accurately positioning the students so as to carry out corresponding training.
Description
Technical Field
The invention relates to the field of network teaching, in particular to a learning data report display method and a learning data report display system.
Background
In the prior art, when the learning ability of students is evaluated, the students are usually evaluated in a comprehensive test result ranking or questionnaire survey mode, individual learning characteristics cannot be really combined, the students cannot be accurately associated with specific knowledge points, and comprehensive and complete evaluation and evaluation of the learning ability of the students cannot be realized on different fineness of macroscopical and microscopic degrees. The growth track of students, the differentiation of strong and weak knowledge points, the historical weak knowledge points to be solved and the comparison with class classification losing conditions aiming at different knowledge points are not mastered in detail, and the students cannot be accurately positioned and relevant targeted training is carried out.
Disclosure of Invention
The invention discloses a learning data report display method, which comprises the following steps:
collecting data for each examination of all student participation including: examination time, examination questions, examination papers and examination scores, wherein the examination papers comprise: the test paper name, the test question full score value and the knowledge points included by the test questions;
acquiring knowledge point mastery according to data of each examination in which students participate, and setting a knowledge point mastery threshold, wherein when the knowledge point mastery is higher than the knowledge point mastery threshold and no related wrong question is a dominant knowledge point, when the knowledge point mastery is lower than the knowledge point mastery threshold and a related wrong question is a weak knowledge point;
The knowledge point mastery degree f is obtained by the following method:
f＝[(a1+a2+a3+...+an)÷n]×g，
wherein f is the mastery degree of the knowledge points, g is the importance degree of the knowledge points, a1, a2 and a3..
The wrong question score value a is obtained by the following method:
a＝x％b×y％(c+1)×z％(d+1)×m％e，
wherein, a is the wrong question score value, b is the test question full score value, x% is the weight of the test question full score value, c is the test question discrimination, y% is the weight of the test question discrimination, d is the difference value of the personal score rate and the class score rate of the knowledge point, z% is the weight of the score rate difference value, e is the time factor, and m% is the time factor and is the weight; the time factor is a timestamp of the test time;
the test question discrimination c is obtained by the following method:
c＝(v1-v2)/b，
wherein v1 is the average score of the test results 27% before the result ranking, and v2 is the average score of the test results 27% after the result ranking;
the knowledge point importance g is obtained by the following method:
g＝70％i+30％j，
wherein i is the mastery condition of the knowledge point required by the student, and j is the ranking gear of the knowledge point in the college entrance examination in the score-to-score ratio within a certain time;
and generating a student learning data report according to the acquired data of each examination participated by all students and the importance of the knowledge points.
Preferably, the student learning data report includes a growth trajectory;
the growth trajectory includes: the examination paper comprises a first abscissa and a first ordinate, wherein the first abscissa is the name of the examination paper, the first ordinate is a student percentile, and the student percentile is a ratio of the number of people who are not higher than the examination score of the student to the number of all people who take an examination;
and connecting the student percentiles of each examination as a fold line, namely the growth track.
Preferably, the student learning data report comprises a strong and weak knowledge point data report;
setting a first time threshold value, wherein the knowledge points appearing in the range of the first time threshold value are latest knowledge points;
generating a first scatter diagram according to the difference value and the score ratio of the personal score ratio and the class score ratio corresponding to the dominant knowledge point, the weak knowledge point and the latest knowledge point;
the first scatter plot includes: a second abscissa, a second ordinate, a first circular icon, a second circular icon, and a triangular icon,
the second abscissa is the difference between the dominant knowledge point, the weak knowledge point and the personal score and the class score corresponding to the latest knowledge point, the second ordinate is the dominant knowledge point, the weak knowledge point and the score corresponding to the latest knowledge point, the first circular icon is the weak knowledge point, the second circular icon is the dominant knowledge point, the triangular icon is the latest knowledge point, and the size of the first circular icon and the size of the second circular icon are the size of the importance.
Preferably, the student learning data report comprises a weak knowledge point analysis report;
generating a table according to the knowledge points, the score trends of the knowledge points, the average score loss of the knowledge points in a single test and the average score loss of the knowledge points in comparison with the class;
the table comprises a table head, and the table head is formed by sequencing the knowledge points, the score trends of the knowledge points, the average losing points of the knowledge points in a single examination and the average losing points of the knowledge points in comparison with the class;
the knowledge point score trend is as follows: generating a second scatter diagram according to the preset examination times, the individual score ratio of the knowledge points and the class score ratio of the knowledge points;
the second scatter plot includes: a third abscissa, a third ordinate, a third circular icon, a fourth circular icon,
wherein the third abscissa is the predetermined number of exams, the third ordinate is the knowledge point class score rate and the knowledge point individual score rate, the third circular icon is the knowledge point individual score rate, and the fourth circular icon is the knowledge point class score rate.
Preferably, the student learning data report comprises a historical weakness to-be-solved knowledge point analysis report;
Setting a second threshold time, wherein the weak knowledge points which are not in the second threshold time range are historical weak knowledge points to be solved;
generating a histogram according to the historical weak knowledge points to be solved, the class score of the historical weak knowledge points to be solved and the individual score of the historical weak knowledge points to be solved;
the histogram includes: a fourth abscissa, a fourth ordinate,
the fourth abscissa is the class score of the historical weak knowledge points to be solved and the personal score of the historical weak knowledge points to be solved, and the fourth ordinate is the historical weak knowledge points to be solved.
The invention also discloses a learning data report display system, which comprises: the system comprises an acquisition module, a data processing module, a report generation module and a report display module;
the acquisition module is coupled with the data processing module, and is used for acquiring data of each examination participated by all students and sending the data to the data processing module;
the data for each test the student takes includes: the examination paper comprises examination time, examination questions, examination papers and examination scores, wherein the examination papers comprise: the test paper name, the test question full score value and the knowledge points included by the test questions;
The data processing module is respectively coupled with the acquisition module and the report generation module and is used for receiving the data of each examination of all students, which is sent by the acquisition module, calculating and generating the knowledge point mastery degree and sending the data of each examination of all students and the knowledge point mastery degree to the report generation module;
acquiring knowledge point mastery according to data of each test of student participation, and setting a knowledge point mastery threshold, wherein when the knowledge point mastery is higher than the knowledge point mastery threshold and no related wrong question is a dominant knowledge point, when the knowledge point mastery is lower than the knowledge point mastery threshold and related wrong question is a weak knowledge point;
the mastery degree of the knowledge points is obtained by the following method:
f＝[(a1+a2+a3+...+an)÷n]×g，
wherein f is the mastery degree of the knowledge points, g is the importance degree of the knowledge points, a1, a2 and a3..
The wrong question score value a is obtained by the following method:
a＝x％b×y％(c+1)×z％(d+1)×m％e，
wherein, a is the wrong question score value, b is the test question full score value, x% is the weight of the test question full score value, c is the test question discrimination, y% is the weight of the test question discrimination, d is the difference value of the personal score rate and the class score rate of the knowledge point, z% is the weight of the score rate difference value, e is the time factor, and m% is the time factor and is the weight; the time factor is a timestamp of the test time;
The test question distinction degree c is obtained by the following method:
c＝(v1-v2)/b，
wherein v1 is the average score of the test results 27% before the result ranking, and v2 is the average score of the test results 27% after the result ranking;
the knowledge point importance degree g is obtained by the following method:
g＝70％i+30％j，
wherein i is the mastery condition of the knowledge point required by the student, and j is the ranking gear of the knowledge point in the college entrance examination in the score-to-score ratio within a certain time;
the report generation module is respectively coupled with the data processing module and the report display module, and is used for receiving the data of each examination participated by all students and the mastery degree of the knowledge point, which are sent by the data processing module, generating a student learning data report and sending the student learning data report to the report display module;
the report display module is coupled with the report generation module and used for receiving the student learning data report sent by the report generation module and displaying the student learning data report.
Preferably, the report generating module comprises a growth trajectory unit;
the growth track unit is respectively coupled with the data processing module and the report display module and is used for receiving the data of each examination participated by all students and sent by the data processing module, generating a growth track and sending the growth track to the report display module;
The growth trajectory unit includes: the examination paper comprises a first abscissa and a first ordinate, wherein the first abscissa is the name of the examination paper, the first ordinate is a student percentile, and the student percentile is a ratio of the number of people who are not higher than the examination score of the student to the number of all people who take an examination;
and connecting the student percentiles of each examination as a fold line, namely the growth track.
Preferably, the report generation module comprises a strong and weak knowledge point data report unit;
the strong and weak knowledge point data reporting unit is respectively coupled with the data processing module and the report display module, and is used for receiving the knowledge point mastery degree sent by the data processing module, generating a strong and weak knowledge point data report and sending the strong and weak knowledge point data report to the report display module;
setting a first time threshold value, wherein the knowledge points appearing in the range of the first time threshold value are latest knowledge points;
generating a first scatter diagram according to the difference value and the score ratio of the individual score and the class score corresponding to the dominant knowledge point, the weak knowledge point and the latest knowledge point;
the first scatter plot includes: a second abscissa, a second ordinate, a first circular icon, a second circular icon, and a triangular icon,
The second abscissa is the difference between the dominant knowledge point, the weak knowledge point and the personal score and the class score corresponding to the latest knowledge point, the second ordinate is the dominant knowledge point, the weak knowledge point and the score corresponding to the latest knowledge point, the first circular icon is the weak knowledge point, the second circular icon is the dominant knowledge point, the triangular icon is the latest knowledge point, and the size of the first circular icon and the size of the second circular icon are the size of the importance.
Preferably, the report generation module comprises a weak knowledge point analysis report unit;
the weak knowledge point analysis report unit is respectively coupled with the data processing module and the report display module, and is used for receiving the data of each examination of all students participating, which is sent by the data processing module, generating a weak knowledge point analysis report and sending the weak knowledge point analysis report to the report display module;
generating a table according to the knowledge points, the score trends of the knowledge points, the average losing points of the knowledge points in a single examination and the average losing points of the knowledge points in comparison with classes;
The table comprises a table head, and the table head is formed by sequencing the knowledge points, the score trends of the knowledge points, the average losing points of the knowledge points in a single examination and the average losing points of the knowledge points in comparison with the class;
setting a preset examination frequency according to the knowledge point score trend, and generating a second scatter diagram according to the preset examination frequency, the knowledge point individual score and the knowledge point class score;
the second scatter plot includes: a third abscissa, a third ordinate, a third circular icon, a fourth circular icon,
wherein the third abscissa is the predetermined number of exams, the third ordinate is the knowledge point class score rate and the knowledge point individual score rate, the third circular icon is the knowledge point individual score rate, and the fourth circular icon is the knowledge point class score rate.
Preferably, the report generation module includes a historical weak to-be-solved knowledge point analysis reporting unit:
the historical weak knowledge point analysis report unit is respectively coupled with the data processing module and the report display module, and is used for receiving the data of each examination participated by all students and sent by the data processing module, generating a historical weak knowledge point analysis report to be solved and sending the historical weak knowledge point analysis report to the report display module;
Setting a second threshold time, wherein the weak knowledge points which are not in the second threshold time range are historical weak knowledge points to be solved;
generating a histogram according to the historical weak knowledge points to be solved, the class score of the historical weak knowledge points to be solved and the individual score of the historical weak knowledge points to be solved;
the histogram includes: a fourth abscissa, a fourth ordinate,
the fourth abscissa is the class score of the historical weak knowledge points to be solved and the individual score of the historical weak knowledge points to be solved, and the fourth ordinate is the historical weak knowledge points to be solved.
Compared with the prior art, the learning data report display method provided by the invention has the following beneficial effects:
according to the learning data report display method and system provided by the invention, the answering data of students can be collected, analyzed, cleaned and calculated, the growth tracks of the students, the differentiation of strong and weak knowledge points, historical weak knowledge points to be solved and the situation of comparing the situation of different knowledge points with class breakdown situation can be mastered in detail, and the students can be accurately positioned so as to be trained correspondingly.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and do not limit the invention. In the drawings:
fig. 1 is a flowchart of a learning data report display method according to embodiment 1 of the present invention;
FIG. 2 is a block diagram of a learning data report display system according to the present invention
FIG. 3 is a growth trajectory obtained in example 1 of the present invention;
FIG. 4 is a report diagram of data of strong and weak knowledge points obtained in embodiment 1 of the present invention;
fig. 5 is a diagram of an analysis report of historical weak knowledge points to be solved according to embodiment 1 of the present invention.
Detailed Description
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. It should be noted that the described embodiments are merely some embodiments, rather than all embodiments, of the invention and are merely illustrative in nature and in no way intended to limit the invention, its application, or uses. The scope of the present invention is defined by the appended claims.
Example 1:
an embodiment of a learning data report display method of the present invention is shown in fig. 1, where fig. 1 is a flowchart of a learning data report display method of embodiment 1 of the present invention;
as shown in fig. 1, there is provided a learning data report presentation method, including the steps of:
step 101, collecting data of each examination in which all students participate, including: examination time, examination questions, examination papers and examination scores, wherein the examination papers comprise: the test paper name, the test question full score value and the knowledge points included by the test questions;
102, acquiring knowledge point mastery according to data of each examination in which students participate, and setting a knowledge point mastery threshold, wherein when the knowledge point mastery is higher than the knowledge point mastery threshold and no related wrong question is a dominant knowledge point, and when the knowledge point mastery is lower than the knowledge point mastery threshold and a related wrong question is a weak knowledge point;
the knowledge point mastery degree f in the step 102 is obtained through a step 103;
step 103, obtaining the knowledge point mastery degree f by the following method:
f＝[(a1+a2+a3+...+an)÷n]×g，
wherein f is the mastery degree of the knowledge points, g is the importance degree of the knowledge points, a1, a2 and a3..
The knowledge point mastery degree f reflects the mastery degree of the knowledge point by the student, the higher the value of the knowledge point mastery degree f is, the better the knowledge point mastery by the student is, and the lower the value of the corresponding knowledge point mastery degree f is, the worse the knowledge point mastery by the student is.
The wrong-question score value a in step 103 is obtained through step 104;
step 104, obtaining the wrong-question score value a by the following method:
a＝x％b×y％(c+1)×z％(d+1)×m％e，
wherein, a is the wrong question score value, b is the test question full score value, x% is the weight of the test question full score value, c is the test question discrimination, y% is the weight of the test question discrimination, d is the difference value of the personal score rate and the class score rate of the knowledge point, z% is the weight of the score rate difference value, e is the time factor, and m% is the time factor and is the weight; the time factor is a timestamp of the test time;
the larger the value of the wrong-question score value a is, the higher the test question value is, the more worthy the test question is to be made, that is, the higher the value of the wrong-question score value a is, the higher the test question can be quickly increased in score, and the smaller the corresponding value of the wrong-question score value a is, the lower the test question value is, the less worthy the test question is to be made.
The test question discrimination c in step 104 is obtained by step 105,
step 105, obtaining the test question discrimination c through the following method:
c＝(v1-v2)/b，
Wherein v1 is the average score of the test results 27% before the result ranking, and v2 is the average score of the test results 27% after the result ranking;
the knowledge point importance g in step 103 is obtained by step 106,
step 106, obtaining the knowledge point importance degree g by the following method:
g＝70％i+30％j，
wherein i is the mastering condition of the knowledge points required by the students, and j is the grading proportion ranking gear of the knowledge points in the college entrance examination within a certain time; the conditions i of the students' mastery of the knowledge points are required to include: the requirement for knowing that i1 is 1, the requirement for understanding that i2 is 0.7, and the requirement for understanding that i3 is 0.4; the step j of the knowledge point in the college entrance examination, which is the score-to-rank ratio, comprises the following steps: j1 ═ 1, j2 ═ 0.7, j3 ═ 0.4; the importance degree of the knowledge points is divided into g and comprises the following steps: g1 is more than 0.5, g2 is more than 0.25 and less than or equal to 0.5, and g3 is less than 0.25.
And step 107, generating a student learning data report according to the acquired data of each examination in which all students participate and the importance of the knowledge points.
In step 107, the student learning data report includes a growth trajectory, see fig. 3, where fig. 3 is the growth trajectory obtained in embodiment 1 of the present invention;
the growth trajectory includes: a first abscissa X1 and a first ordinate Y1, wherein the first abscissa X1 is the name of the test paper, the first ordinate Y1 is a student percentile, and the student percentile is a ratio of the number of the students who have the test result to the number of all the students taking the test.
And connecting the student percentiles of each examination as a fold line, namely the growth trajectory.
It can be understood that the student percentiles of each examination are connected into the broken line, so that students can know more intuitively, and the students can adjust and stabilize themselves according to the data due to the fact that the students upgrade fluctuation in the period of time.
In step 107, the student learning data report includes a strong and weak knowledge point data report, see fig. 4, where fig. 4 is a strong and weak knowledge point data report obtained in embodiment 1 of the present invention;
setting a first time threshold value, wherein the knowledge points appearing in the range of the first time threshold value are the latest knowledge points;
generating a first scatter diagram according to the difference values and the score ratios of the personal score ratios and the class score ratios corresponding to the dominant knowledge points, the weak knowledge points and the latest knowledge points;
the first scatter plot includes: a second abscissa X2, a second ordinate Y2, a first circular icon A, a second circular icon B, and a triangular icon C,
the second abscissa X2 represents the difference between the superior knowledge point, the weak knowledge point, and the personal score and the class score corresponding to the latest knowledge point, the second ordinate Y2 represents the ratio of the superior knowledge point, the weak knowledge point, and the score corresponding to the latest knowledge point, the first circular icon a represents the weak knowledge point, the second circular icon B represents the superior knowledge point, the triangular icon C represents the latest knowledge point, and the sizes of the first circular icon a and the second circular icon B represent the size of the importance.
The purpose of this step is to calculate the strong and weak knowledge points of the student in a certain time range (such as one week) and generate learning data.
It can be understood that, in the strong and weak knowledge point data report chart of fig. 4, the icons in different shapes are used for representing different knowledge points, and the sizes of the icons are used for representing the importance of the knowledge points, so that students can more intuitively know the level of the students, and can do relevant test questions according to the self-understanding, thereby further improving the learning efficiency and the learning achievement of the students.
In step 107, the student learning data report comprises a weak knowledge point analysis report;
generating a table according to the knowledge points, the score trend of the knowledge points, the average loss score of the knowledge points in a single examination and the average loss score of the knowledge points in comparison with the class, and referring to table 1, wherein table 1 is a weak knowledge point analysis report table of the invention, and it can be understood that the number of the weak knowledge points is not specifically required, and table 1 only shows a schematic description of the case that one weak knowledge point is a weak knowledge point M according to the specific setting of the actual situation;
table 1 weak knowledge points analysis report form of the present invention
The table comprises a table head, and the table head is formed by sequencing the knowledge points, the score trends of the knowledge points, the average losing points of the knowledge points in a single test and the average losing points of the knowledge points in comparison with the class average losing points;
The knowledge point score trend is as follows: generating a second scatter diagram according to the preset examination times, the individual score of the knowledge points and the class score of the knowledge points, wherein the second scatter diagram refers to a diagram corresponding to the score trend of the knowledge points in the table 1;
the second scatter plot includes: a third abscissa X3, a third ordinate Y3, a third circular icon E, a fourth circular icon F,
wherein the third abscissa X3 is the predetermined number of exams, the third ordinate Y3 is the knowledge point class score rate and the knowledge point individual score rate, the third circular icon E is the knowledge point individual score rate, and the fourth circular icon F is the knowledge point class score rate.
It can be understood that the weak knowledge point analysis report is displayed in a form of a table, so that students can know the losing situation of the students and the losing situation of classes at a glance, and the losing situation of the weak knowledge points can be known to perform related training so as to further improve the achievement of the students.
In step 107, the student learning data report includes a historical weak knowledge point analysis report to be solved, see fig. 5, and fig. 5 is a historical weak knowledge point analysis report diagram to be solved obtained in embodiment 1 of the present invention, it can be understood that the present invention does not make specific requirements on the number of the historical weak knowledge points to be solved, and is specifically set according to actual conditions, preferably, the present invention displays at most 3 of the number of the historical weak knowledge points to be solved, and fig. 5 only shows two historical weak knowledge points to be solved: a historical weak knowledge point P to be solved and a historical weak knowledge point Q to be solved;
Setting a second threshold time, wherein the weak knowledge points which are not in the second threshold time range are historical weak knowledge points to be solved;
generating a histogram according to the historical weak knowledge points to be solved, the class score of the historical weak knowledge points to be solved and the individual score of the historical weak knowledge points to be solved;
the histogram includes: a fourth abscissa X4, a fourth ordinate Y4,
wherein the fourth abscissa X4 is the class score and the individual score of the historical weakness to be solved knowledge points, and the fourth ordinate Y4 is the historical weakness to be solved knowledge points.
It can be understood that the historical weak knowledge points to be solved can enable students to know which knowledge points are not mastered in detail through the histogram, and the difference between the personal score-score ratio and the class score-score ratio is more clearly shown through the histogram, so that the students can know the level of the students, and the next learning training is facilitated.
According to the learning data report display method provided by the embodiment, the examination data of the students can be collected and calculated, the growth tracks of the students, the differentiation of strong and weak knowledge points, the knowledge points to be solved due to weak history and the comparison between the different knowledge points and class breakdown conditions can be mastered in detail, and the students can be accurately positioned so as to be trained correspondingly.
Example 2:
referring to fig. 2, fig. 2 is a block diagram of a learning data report display system according to an embodiment of the present invention; the method comprises the following steps: the system comprises an acquisition module 1, a data processing module 2, a report generation module 3 and a report display module 4;
the acquisition module 1 is coupled with the data processing module 2, and is used for acquiring data of each examination participated by all students and sending the data to the data processing module 2;
the data for each test the student takes part in comprises: examination time, examination questions, examination papers and examination scores, wherein the examination papers comprise: the test paper name, the test question full score value and the knowledge points included by the test questions;
the data processing module 2 is coupled to the acquisition module 1 and the report generating module 3, and configured to receive data of each examination in which all students participate sent by the acquisition module 1, calculate and generate the knowledge point mastery level, and send the data of each examination in which all students participate and the knowledge point mastery level to the report generating module 3;
acquiring knowledge point mastery according to data of each test of student participation, and setting a knowledge point mastery threshold, wherein when the knowledge point mastery is higher than the knowledge point mastery threshold and no related wrong question is a dominant knowledge point, when the knowledge point mastery is lower than the knowledge point mastery threshold and related wrong question is a weak knowledge point;
The knowledge point mastery degree f is obtained by the following method:
f＝[(a1+a2+a3+...+an)÷n]×g，
wherein f is the mastery degree of the knowledge points, g is the importance degree of the knowledge points, a1, a2 and a3..
The wrong question score value a is obtained by the following method:
a＝x％b×y％(c+1)×z％(d+1)×m％e，
wherein, a is the wrong question score value, b is the test question full score value, x% is the weight of the test question full score value, c is the test question discrimination, y% is the weight of the test question discrimination, d is the difference value of the personal score rate and the class score rate of the knowledge point, z% is the weight of the score rate difference value, e is the time factor, and m% is the time factor and is the weight; the time factor is a timestamp of the test time;
the test question discrimination c is obtained by the following method:
c＝(v1-v2)/b，
wherein v1 is the average score of the test results 27% before the result ranking, and v2 is the average score of the test results 27% after the result ranking;
the knowledge point importance g is obtained by the following method:
g＝70％i+30％j，
wherein i is the mastery condition of the knowledge point required by the student, and j is the ranking gear of the knowledge point in the college entrance examination in the score-to-score ratio within a certain time; the conditions i of the students' mastery of the knowledge points are required to include: the requirement for knowing that i1 is 1, the requirement for understanding that i2 is 0.7, and the requirement for understanding that i3 is 0.4; the step j of the knowledge point in the college entrance examination for calculating the score of the ranking comprises the following steps: j1 ═ 1, j2 ═ 0.7, j3 ═ 0.4; the importance degree of the knowledge points is divided into g and comprises the following steps: g1 is more than 0.5, g2 is more than 0.25 and less than or equal to 0.5, and g3 is less than 0.25.
The report generating module 3 is coupled to the data processing module 2 and the report displaying module 4, and is configured to receive the data of each examination in which all students participate and the knowledge point mastery degree sent by the data processing module 2, generate a student learning data report, and send the student learning data report to the report displaying module 4;
the report generating module 3 includes a growth trajectory unit 31, see fig. 3, where fig. 3 is a growth trajectory obtained in embodiment 1 of the present invention;
the growth track unit 31 is respectively coupled to the data processing module 2 and the report display module 4, and is configured to receive data of each examination in which all students participate, which is sent by the data processing module 2, generate a growth track, and send the growth track to the report display module 4;
the growth trajectory unit includes: a first abscissa X1 and a first ordinate Y1, wherein the first abscissa X1 is the name of the test paper, the first ordinate Y1 is a student percentile, and the student percentile is a ratio of the number of the students who have the test result to the number of all the students taking the test.
And connecting the student percentiles of each examination as a fold line, namely the growth track.
It can be understood that the student percentiles of each examination are connected into the broken line, so that students can know more intuitively, and the students can adjust and stabilize the state according to the data due to the fluctuation of self upgrading in the period.
The report generating module 3 includes a strong and weak knowledge point data reporting unit 32, see fig. 4, where fig. 4 is a strong and weak knowledge point data reporting diagram obtained in embodiment 1 of the present invention;
the strong and weak knowledge point data reporting unit 32 is coupled to the data processing module 2 and the report display module 4, and configured to receive the knowledge point mastery degree sent by the data processing module 2, generate a strong and weak knowledge point data report, and send the strong and weak knowledge point data report to the report display module 4;
setting a first time threshold value, wherein the knowledge points appearing in the range of the first time threshold value are the latest knowledge points;
generating a first scatter diagram according to differences and score ratios of individual scores and class scores corresponding to the dominant knowledge points, the weak knowledge points and the latest knowledge points;
the first scatter plot includes: a second abscissa X2, a second ordinate Y2, a first circular icon A, a second circular icon B, and a triangular icon C,
The second abscissa X2 represents the difference between the superior knowledge point, the weak knowledge point, and the personal score and the class score corresponding to the latest knowledge point, the second ordinate Y2 represents the ratio of the superior knowledge point, the weak knowledge point, and the score corresponding to the latest knowledge point, the first circular icon a represents the weak knowledge point, the second circular icon B represents the superior knowledge point, the triangular icon C represents the latest knowledge point, and the sizes of the first circular icon a and the second circular icon B represent the size of the importance.
It can be understood that, in the strong and weak knowledge point data report diagram of fig. 4, the icons with different shapes are used for representing different knowledge points, and the size of the icon is used for representing the importance of the knowledge point, so that students can know their own level more intuitively, and the learning efficiency and the learning score of the students can be further improved according to the relevant relation to their own understanding.
The report generation module 3 includes a weak knowledge point analysis report unit 33;
the weak knowledge point analysis reporting unit 33 is respectively coupled to the data processing module 2 and the report display module 4, and is configured to receive the data of each examination of all students participating, which is sent by the data processing module 2, generate a weak knowledge point analysis report, and send the weak knowledge point analysis report to the report display module 4;
Generating a table according to the knowledge points, the score trend of the knowledge points, the average loss score of the knowledge points in a single examination and the average loss score of the knowledge points in comparison with classes, and referring to table 1, wherein table 1 is a weak knowledge point analysis report table of the invention, and it can be understood that the number of the weak knowledge points is not specifically required, and only one weak knowledge point is shown as a weak knowledge point M in table 1 according to the specific setting of actual conditions;
the table comprises a table head, and the table head is formed by sequencing the knowledge points, the score trends of the knowledge points, the average losing points of the knowledge points in a single examination and the average losing points of the knowledge points in comparison with the class;
setting a preset examination frequency according to the knowledge point score trend, and generating a second scatter diagram according to the preset examination frequency, the knowledge point individual score and the knowledge point class score, wherein the second scatter diagram refers to a diagram corresponding to the head of the knowledge point score trend in table 1;
the second scatter plot includes: a third abscissa X3, a third ordinate Y3, a third circular icon E, a fourth circular icon F,
wherein the third abscissa X3 is the predetermined number of exams, the third ordinate Y3 is the knowledge point class score rate and the knowledge point individual score rate, the third circular icon E is the knowledge point individual score rate, and the fourth circular icon F is the knowledge point class score rate.
It can be understood that the weak knowledge point analysis report is displayed in a form of a table, so that students can clearly know the conditions of losing points and the conditions of losing points of classes at a glance, and can perform related training by knowing the conditions of losing points of the weak knowledge points, and the achievement of the students is further improved.
The report generating module 3 includes a historical weak knowledge point analysis report unit 34, see fig. 5, and fig. 5 is a historical weak knowledge point analysis report diagram to be solved obtained in embodiment 1 of the present invention, and it can be understood that, in the present invention, no specific requirement is made on the number of the historical weak knowledge points to be solved, and the historical weak knowledge points to be solved are specifically set according to an actual situation, and fig. 5 only shows two historical weak knowledge points to be solved: a historical weak knowledge point P to be solved and a historical weak knowledge point Q to be solved;
the historical weak knowledge point analysis report unit 34 is coupled to the data processing module 2 and the report display module 4, and configured to receive data of each examination that all students participate in and sent by the data processing module 2, generate a historical weak knowledge point analysis report to be solved, and send the historical weak knowledge point analysis report to the report display module 4;
Setting a second threshold time, wherein the weak knowledge points which are not in the second threshold time range are historical weak knowledge points to be solved;
generating a histogram according to the historical weak knowledge points to be solved, the class score of the historical weak knowledge points to be solved and the individual score of the historical weak knowledge points to be solved;
the histogram includes: a fourth abscissa X4, a fourth ordinate Y4,
wherein the fourth abscissa X4 is the class score and the individual score of the historical weak knowledge points to be solved, and the fourth ordinate Y4 is the historical weak knowledge points to be solved.
It can be understood that the historical weak knowledge points to be solved can enable students to know which knowledge points are not mastered in detail through the histogram, and the difference between the personal score-score ratio and the class score-score ratio is more clearly shown through the histogram, so that the students can know the level of the students, and the next learning training is facilitated.
The report display module 4 is coupled to the report generating module 3, and configured to receive the student learning data report sent by the report generating module 3, and display the student learning data report.
The learning data report display system provided by the embodiment can calculate and summarize through acquisition of examination data of students, can master the growth track of students in detail, the differentiation of strong and weak knowledge points, historical weak knowledge points to be solved and the comparison condition of different knowledge points with class breakdown conditions, and can accurately position the students so as to carry out corresponding training.
Example 3:
in the application embodiment of the learning data report display method of the invention,
step 301, collecting examination data of students:
collecting examination data of students, including examination time, examination questions, examination paper, examination score, etc
Step 302, extracting student examination data, examination question data and examination paper data;
extracting test paper data: examination belonging to examination paper ID, examination number of examination paper and examination paper name
Extracting test question data: the test paper comprises the ID of the test questions, the full score of the test questions, the differentiation degree of the test questions and the score rate of the test questions, wherein the differentiation degree c of the test questions is obtained by the following method:
c＝(v1-v2)/b，
wherein v1 is the average score of the test results 27% before the result ranking, and v2 is the average score of the test results 27% after the result ranking;
Step 303, student data extraction: student ID, student examination time, student examination score, examination taking times and examination taking name;
step 304, knowledge point mastery degree, wrong question score value calculation and knowledge point importance degree:
the knowledge point mastery degree f is obtained by the following method:
f＝[(a1+a2+a3+...+an)÷n]×g，
wherein f is the mastery degree of the knowledge points, g is the importance degree of the knowledge points, a1, a2 and a3..
The wrong question score value a is obtained by the following method:
a＝x％b×y％(c+1)×z％(d+1)×m％e，
wherein, a is the wrong question score value, b is the test question full score value, x% is the weight of the test question full score value, c is the test question discrimination, y% is the weight of the test question discrimination, d is the difference value of the personal score rate and the class score rate of the knowledge point, z% is the weight of the score rate difference value, e is the time factor, and m% is the time factor and is the weight; the time factor is a timestamp of the test time;
the knowledge point importance g is obtained by the following method:
g＝70％i+30％j，
wherein i is the mastery condition of the knowledge point required by the student, j is the ranking gear of the knowledge point in the college entrance examination in the score-divided ratio within a certain time, and the mastery condition i of the knowledge point required by the student comprises the following steps: request to master i 1Claim 1 for understanding i2When 0.7, require knowledge of i30.4; the step j of the knowledge point in the college entrance examination, which is the score-to-rank ratio, comprises the following steps: j is a function of1＝1、j2＝0.7、j30.4; the importance degree of the knowledge points is divided into g and comprises the following steps: g is a radical of formula1＞0.5、0.25＜g2≤0.5、g3＜0.25。
Step 305, generating student learning data; generating student learning data comprising growth tracks, strong and weak knowledge point analysis, weak knowledge point analysis and historical weak knowledge points to be solved;
referring to fig. 3, growth trajectory: and (4) analyzing the condition of the fluctuation of the examination results of the students for N times, wherein N users can select the results.
First abscissa X1: examination name
First ordinate Y1: student percentile, calculation formula: the number of persons ranked not higher than the student/the actual reference number for the class;
and connecting the student percentiles of each examination as a fold line, namely the growth track.
Referring to fig. 4, strong and weak knowledge point analysis:
calculates the strong and weak knowledge points of the student in a certain range (the lower graph is exemplified as a week), and generates learning data,
a second ordinate Y2 is the score ratio of the knowledge point, a second abscissa X2 is the difference between the individual score and the class score of the knowledge point, and the size of the icon includes: big, medium and small, representing the importance of knowledge points (the importance is based on the average value of knowledge points and is combined with the analysis of weak knowledge points, the analysis of weak knowledge points is based on the average value of error questions obtained by differentiation, difficulty coefficient and time factor.)
The first circular icon is a weak knowledge point: the students in the data source range have low mastery degree of knowledge points and have associated wrong questions
The second circular icon is the dominant knowledge point: the student knowledge points in the data source range have high mastery degree and no associated error questions
The latest knowledge points appearing in the week: weak knowledge points occurring in the week are represented by triangular icons.
Referring to table 1 above, table 1 is a weak knowledge point analysis report table of the present invention, and it can be understood that the number of the weak knowledge points is not specifically required, and table 1 only shows that one weak knowledge point is a weak knowledge point M, which is specifically set according to an actual situation;
analyzing weak knowledge points;
and analyzing the knowledge point score rate trend, the average score loss in a single examination and the average score loss in a personal class of the weak knowledge points in the examination of nearly 10 times, helping students to clarify the embodiment of the weak knowledge points in the examination of nearly several times and helping the students to intuitively master the weak knowledge points.
The formula for calculating the average loss score of a knowledge point in a single examination is as follows: average values of individual scores over multiple single examinations,
individual losing score calculation for single exam: in a single examination, the sum of the full scores of all the test questions under the knowledge point-the sum of the individual scores of all the test questions under the knowledge point;
Examples are as follows: the examination questions containing the knowledge point in a single examination have two channels, each channel has 10 points, and the sum of the full scores of all the examination questions under the knowledge point is 20 points. The scores of a student for the two questions are respectively 8 points and 6 points, so that the sum of the individual scores of all the test questions under the knowledge point is 14. The individual loses score 20- (8+6) ═ 6 on a single test. Namely the student's score of the word examination is 6
The individual is more than the average score and the loss score of class calculation formula: multiple exams within the data source range, knowledge point class average score loss-knowledge point individual average score loss
Average score loss for single examination class: in a single examination, the sum of the full scores of all the test questions under the knowledge point is equal to the sum of the average scores of all the test question classes under the knowledge point;
knowledge on-duty average score loss: the number of examinations in the range of the data source is multiple, the number of times of examinations with knowledge points/the sum of the losing points of the class of a single examination of the knowledge points;
knowledge points personal average score loss: the method comprises the following steps of (1) carrying out multiple examinations in a data source range, wherein a knowledge point is used for carrying out individual score sum/examination times with the knowledge point in a single examination;
referring to fig. 5, which is an analysis report diagram of historical weak to-be-solved knowledge points obtained in embodiment 1 of the present invention, it can be understood that the present invention does not specifically require the number of the historical weak to-be-solved knowledge points, and specifically sets the historical weak to-be-solved knowledge points according to actual situations, and fig. 5 only shows two historical weak to-be-solved knowledge points: a historical weak knowledge point P to be solved and a historical weak knowledge point Q to be solved;
Historical weak knowledge points to be solved:
weak knowledge points occurring in the examination beyond the target time range are historical weak knowledge points. For example, a student's exercise book of one week is generated, the examination of one week is the examination within the target time, and the examination of one week before is the examination beyond the target time range. The weak knowledge points appearing in the examinations are historical weak knowledge points. And comparing the individual score and the class score of the individual to the historical weak knowledge points.
According to the learning data report display method provided by the invention, the student answering data can be collected, analyzed, cleaned and calculated, the growth track, the strong and weak knowledge points of the student can be mastered in detail, the historical weak knowledge points to be solved and the situation of comparison between different knowledge points and class missing situation can be mastered in detail, and the student can be accurately positioned so as to be trained correspondingly.
The above embodiments show that the invention has the following beneficial effects:
according to the learning data report display method and system provided by the invention, the student examination data can be collected and calculated to summarize, so that the growth track of the student, the differentiation of strong and weak knowledge points, the historical weak knowledge points to be solved and the comparison between different knowledge points and class breakdown conditions can be mastered in detail, and the student can be accurately positioned to carry out corresponding training.
While the invention has been described in detail with reference to the drawings and examples, it is to be understood by those skilled in the art that the foregoing examples are for the purpose of illustration only and are not intended to limit the scope of the invention. Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described in the foregoing embodiments, or equivalents may be substituted for some of the features thereof. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention. The scope of the invention is defined by the appended claims.
Claims (8)
1. A learning data report display method is characterized by comprising the following steps:
data is collected for each examination in which all students participate, including: examination time, examination questions, examination papers and examination scores, wherein the examination papers comprise: the test paper name, the test question full score value and the knowledge points included by the test questions;
acquiring knowledge point mastery according to data of each examination in which students participate, and setting a knowledge point mastery threshold, wherein when the knowledge point mastery is higher than the knowledge point mastery threshold and no related wrong question is a dominant knowledge point, when the knowledge point mastery is lower than the knowledge point mastery threshold and a related wrong question is a weak knowledge point;
The knowledge point mastery degree f is obtained by the following method:
f＝[(a1+a2+a3+...+an)÷n]×g，
wherein f is the mastery degree of the knowledge points, g is the importance degree of the knowledge points, a1, a2 and a3..
The wrong question score value a is obtained by the following method:
a＝x％b×y％(c+1)×z％(d+1)×m％e，
wherein, a is the wrong question score value, b is the test question full score value, x% is the weight of the test question full score value, c is the test question discrimination, y% is the weight of the test question discrimination, d is the difference value of the personal score rate and the class score rate of the knowledge point, z% is the weight of the score rate difference value, e is the time factor, and m% is the weight of the time factor; the time factor is a timestamp of the test time;
the test question distinction degree c is obtained by the following method:
c＝(v1-v2)/b，
wherein v1 is the average score of the test results 27% before the result ranking, and v2 is the average score of the test results 27% after the result ranking;
the knowledge point importance degree g is obtained by the following method:
g＝70％i+30％j，
wherein i is the mastery condition of the knowledge point required by the student, and j is the ranking gear of the knowledge point in the college entrance examination in the score-to-score ratio within a certain time;
generating a student learning data report according to the acquired data of each examination in which all students participate and the knowledge point mastery degree; the student learning data report comprises a strong and weak knowledge point data report;
Setting a first time threshold value, wherein the knowledge points appearing in the range of the first time threshold value are latest knowledge points;
generating a first scatter diagram according to the difference value and the score ratio of the personal score ratio and the class score ratio corresponding to the dominant knowledge point, the weak knowledge point and the latest knowledge point;
the first scatter plot includes: a second abscissa, a second ordinate, a first circular icon, a second circular icon, and a triangular icon,
the second abscissa is the difference between the dominant knowledge point, the weak knowledge point and the personal score and the class score corresponding to the latest knowledge point, the second ordinate is the dominant knowledge point, the weak knowledge point and the score corresponding to the latest knowledge point, the first circular icon is the weak knowledge point, the second circular icon is the dominant knowledge point, the triangular icon is the latest knowledge point, and the size of the first circular icon and the size of the second circular icon are the size of the importance.
2. The learning data report presentation method of claim 1, wherein the student learning data report includes a growth trajectory;
The growth trajectory includes: the examination paper taking system comprises a first abscissa and a first ordinate, wherein the first abscissa is the name of the examination paper, the first ordinate is a student percentile, and the student percentile is a ratio of the number of people who do not exceed the examination score of the student to the number of all people who take the examination;
and connecting the student percentiles of each examination as a fold line, namely the growth trajectory.
3. The learning data report presentation method of claim 1, wherein the student learning data report comprises a weak knowledge point analysis report;
generating a table according to the knowledge points, the score trends of the knowledge points, the average losing points of the knowledge points in a single examination and the average losing points of the knowledge points in comparison with classes;
the table comprises a table head, and the table head is formed by sequencing the knowledge points, the score trends of the knowledge points, the average losing points of the knowledge points in a single examination and the average losing points of the knowledge points in comparison with the class;
the knowledge point score trend is as follows: generating a second scatter diagram according to the preset examination times, the individual score of the knowledge points and the class score of the knowledge points;
the second scatter plot includes: a third abscissa, a third ordinate, a third circular icon, a fourth circular icon,
Wherein the third abscissa is the predetermined number of exams, the third ordinate is the knowledge point class score rate and the knowledge point individual score rate, the third circular icon is the knowledge point individual score rate, and the fourth circular icon is the knowledge point class score rate.
4. The learning data report presentation method of claim 1, wherein the student learning data report comprises a historical weakness to-be-solved knowledge point analysis report;
setting a second threshold time, wherein the weak knowledge points which are not in the second threshold time range are historical weak knowledge points to be solved;
generating a histogram according to the historical weak knowledge points to be solved, the class score of the historical weak knowledge points to be solved and the individual score of the historical weak knowledge points to be solved;
the histogram includes: a fourth abscissa, a fourth ordinate,
the fourth abscissa is the class score of the historical weak knowledge points to be solved and the individual score of the historical weak knowledge points to be solved, and the fourth ordinate is the historical weak knowledge points to be solved.
5. A learning data report presentation system, comprising: the system comprises an acquisition module, a data processing module, a report generation module and a report display module;
The acquisition module is coupled with the data processing module, and is used for acquiring data of each examination participated by all students and sending the data to the data processing module;
the data for each test the student takes includes: the examination paper comprises examination time, examination questions, examination papers and examination scores, wherein the examination papers comprise: the test paper name, the test question full score value and the knowledge points included by the test questions;
the data processing module is respectively coupled with the acquisition module and the report generation module and is used for receiving the data of each examination of all students, which is sent by the acquisition module, calculating and generating the knowledge point mastery degree and sending the data of each examination of all students and the knowledge point mastery degree to the report generation module;
acquiring knowledge point mastery according to data of each test of student participation, and setting a knowledge point mastery threshold, wherein when the knowledge point mastery is higher than the knowledge point mastery threshold and no related wrong question is a dominant knowledge point, when the knowledge point mastery is lower than the knowledge point mastery threshold and related wrong question is a weak knowledge point;
The knowledge point mastery degree is obtained by the following method:
f＝[(a1+a2+a3+...+an)÷n]×g，
wherein f is the mastery degree of the knowledge points, g is the importance degree of the knowledge points, a1, a2 and a3..
The wrong question score value a is obtained by the following method:
a＝x％b×y％(c+1)×z％(d+1)×m％e，
wherein, a is the wrong question score value, b is the test question full score value, x% is the weight of the test question full score value, c is the test question discrimination, y% is the weight of the test question discrimination, d is the difference value of the personal score rate and the class score rate of the knowledge point, z% is the weight of the score rate difference value, e is the time factor, and m% is the weight of the time factor; the time factor is a timestamp of the test time;
the test question discrimination c is obtained by the following method:
c＝(v1-v2)/b，
wherein v1 is the average score of the test results 27% before the result ranking, and v2 is the average score of the test results 27% after the result ranking;
the knowledge point importance g is obtained by the following method:
g＝70％i+30％j，
wherein i is the mastery condition of the knowledge point required by the student, and j is the ranking gear of the knowledge point in the college entrance examination in the score-to-score ratio within a certain time;
the report generation module is respectively coupled with the data processing module and the report display module, and is used for receiving the data of each examination participated by all students and the mastery degree of the knowledge point, which are sent by the data processing module, generating a student learning data report and sending the student learning data report to the report display module;
The report display module is coupled with the report generation module and used for receiving the student learning data report sent by the report generation module and displaying the student learning data report; the report generation module comprises a strong and weak knowledge point data report unit;
the strong and weak knowledge point data reporting unit is respectively coupled with the data processing module and the report display module, and is used for receiving the knowledge point mastery degree sent by the data processing module, generating a strong and weak knowledge point data report and sending the strong and weak knowledge point data report to the report display module;
setting a first time threshold value, wherein the knowledge points appearing in the range of the first time threshold value are latest knowledge points;
generating a first scatter diagram according to the difference value and the score ratio of the individual score and the class score corresponding to the dominant knowledge point, the weak knowledge point and the latest knowledge point;
the first scatter plot includes: a second abscissa, a second ordinate, a first circular icon, a second circular icon, and a triangular icon,
the second abscissa is the difference between the dominant knowledge point, the weak knowledge point and the personal score and the class score corresponding to the latest knowledge point, the second ordinate is the dominant knowledge point, the weak knowledge point and the score corresponding to the latest knowledge point, the first circular icon is the weak knowledge point, the second circular icon is the dominant knowledge point, the triangular icon is the latest knowledge point, and the size of the first circular icon and the size of the second circular icon are the size of the importance.
6. The learning data report presentation system of claim 5, wherein the report generation module comprises a growth trajectory unit;
the growth track unit is respectively coupled with the data processing module and the report display module and is used for receiving the data of each examination participated by all students and sent by the data processing module, generating a growth track and sending the growth track to the report display module;
the growth trajectory includes: the examination paper comprises a first abscissa and a first ordinate, wherein the first abscissa is the name of the examination paper, the first ordinate is a student percentile, and the student percentile is a ratio of the number of people who are not higher than the examination score of the student to the number of all people who take an examination;
and connecting the student percentiles of each examination as a fold line, namely the growth track.
7. The learning data report presentation system of claim 5, wherein the report generation module comprises a weak knowledge point analysis reporting unit;
the weak knowledge point analysis reporting unit is respectively coupled with the data processing module and the report display module, and is used for receiving the data of each examination of all students participating sent by the data processing module, generating a weak knowledge point analysis report and sending the weak knowledge point analysis report to the report display module;
Generating a table according to the knowledge points, the score trends of the knowledge points, the average losing points of the knowledge points in a single examination and the average losing points of the knowledge points in comparison with classes;
the table comprises a table head, and the table head is formed by sequencing the knowledge points, the score trends of the knowledge points, the average losing points of the knowledge points in a single examination and the average losing points of the knowledge points in comparison with the class;
the knowledge point score trend is: setting a preset examination frequency, and generating a second scatter diagram according to the preset examination frequency, the individual score of the knowledge points and the class score of the knowledge points;
the second scatter plot includes: a third abscissa, a third ordinate, a third circular icon, a fourth circular icon,
wherein the third abscissa is the predetermined number of exams, the third ordinate is the knowledge point class score rate and the knowledge point individual score rate, the third circular icon is the knowledge point individual score rate, and the fourth circular icon is the knowledge point class score rate.
8. The learning data report presentation system of claim 5, wherein the report generation module comprises a historical weak to-be-solved knowledge point analysis reporting unit:
The historical weak knowledge point analysis report unit is respectively coupled with the data processing module and the report display module, and is used for receiving the data of each examination participated by all students and sent by the data processing module, generating a historical weak knowledge point analysis report to be solved and sending the historical weak knowledge point analysis report to the report display module;
setting a second threshold time, wherein the weak knowledge points which are not in the second threshold time range are historical weak knowledge points to be solved;
generating a histogram according to the historical weak knowledge points to be solved, the class score of the historical weak knowledge points to be solved and the individual score of the historical weak knowledge points to be solved;
the histogram includes: a fourth abscissa, a fourth ordinate,
the fourth abscissa is the class score of the historical weak knowledge points to be solved and the individual score of the historical weak knowledge points to be solved, and the fourth ordinate is the historical weak knowledge points to be solved.
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| JP2010107787A (en) * | 2008-10-30 | 2010-05-13 | Cosmotopia Japan Inc | Evaluation analysis system |
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| CN107481568A (en) * | 2017-09-19 | 2017-12-15 | 广东小天才科技有限公司 | Method and user terminal are consolidated in a kind of knowledge point |
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