CN118134713A - Education test evaluation management system - Google Patents
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Abstract
The invention belongs to the technical field of education management, and particularly discloses an education test evaluation management system, which comprises: the system comprises a test data extraction module, a mode setting analysis module, a mode adjustment analysis module, a cloud database and a mode adjustment processing terminal; according to the invention, the adjustment requirement analysis is respectively carried out from the whole dimension and the local dimension by combining the currently set jaywalking mode attribute of the test student, so that the adjustment information under the adjustment type of the jaywalking mode is confirmed, the problems of insufficient pertinence and flexibility of the current test are effectively solved, the defect existing in the current overall evaluation is avoided, the individual differences of different students are fully considered, the deep and multidimensional analysis of the jaywalking mode adjustment requirement of the student is realized, the rationality and the reliability of the test content optimization are greatly improved, and the suitability and the effectiveness of the test content optimization are effectively ensured.
Description
Technical Field
The invention belongs to the technical field of education management, and relates to an education test evaluation management system.
Background
With the improvement of comprehensive quality and capability culture requirements of students, people begin to explore a more comprehensive and flexible education test and evaluation mode, and under the background, education test and evaluation modes based on a rushing mode are generated, so that the advantages and disadvantages of students can be more comprehensively identified, and the education test and evaluation needs to be managed.
At present, education test evaluation management in an interlope mode is mainly used for optimizing test contents according to test performances of students under different checkpoints, and the following defects still exist: 1. the pertinence and flexibility of test optimization are insufficient, the test optimization currently belongs to the evaluation of the integrity, and different students have certain individual variability, and the current analysis dimension is relatively surface, so that the rationality and reliability of the test content optimization are difficult to ensure, and the suitability and the effectiveness of the test content optimization cannot be ensured.
2. The test optimization ignores procedural evaluation, and currently belongs to result guiding type according to the test performance of a student under different checkpoints, the student is not subjected to dynamic analysis under multiple tests, the dynamic learning development rule of the student cannot be mastered, and then the personalized jaywalking mode setting of different students cannot be conveniently carried out, and further the accuracy and the referential of the evaluation result cannot be improved.
3. The detailed performance is not quantized, the test performance of different students at different checkpoints is not subjected to further comparative analysis at present, the adaptation condition of the setting of the different checkpoints cannot be obtained, the timeliness of the adjustment of the test content of the test checkpoints cannot be guaranteed, meanwhile, the overall level of the students at the different checkpoints cannot be comprehensively known, and further, the situation that the test setting is not comprehensive enough or is not close to an actual application scene enough exists, so that the evaluation result possibly cannot accurately reflect the actual capability of the students.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the above-mentioned background art, an educational test evaluation management system is proposed.
The aim of the invention can be achieved by the following technical scheme: the invention provides an education test evaluation management system, comprising: the test data extraction module is used for extracting the currently set jaywalking attribute of each test student and the recorded jaywalking data of each test student when each time of jaywalking is historic.
The mode setting analysis module is used for conducting adjustment demand analysis of the jaywalking mode setting, and comprises the following steps: s1, carrying out overall adjustment desirability analysis on the clearance mode to obtain an analysis result.
S2, carrying out local adjustment desirability analysis on the clearance mode to obtain an analysis result.
S3, confirming an adjustment type of the jaywalking mode, wherein the adjustment type of the jaywalking mode is one of integral adjustment, local adjustment and comprehensive adjustment.
And the mode adjustment analysis module is used for confirming adjustment information under the adjustment type of the jaywalking mode.
The cloud database is used for storing reference jaywalking passing curves of all the jaywalking attributes, storing jaywalking lifting degree intervals corresponding to all the jaywalking difficulty levels and storing set task difficulty ratios of all the checkpoints.
And the mode adjustment processing terminal is used for adjusting the setting of the jaywalking mode according to the adjustment information under the jaywalking mode adjustment type.
Preferably, the performing the analysis of the overall adjustment desirability of the jayware mode includes: and locating the break-over data of each gate from the record break-over data, and accordingly counting the achievement ratio of each gate when each test student makes a break-over for each time.
And recording the pass checkpoints with the achievement ratio larger than the set reference achievement ratio as pass checkpoints, and counting the number of the pass checkpoints when each test student makes a history of each pass.
Will beThe history clearance curve is recorded as a clearance ratio, the history clearance sequence is taken as an abscissa, the clearance ratio is taken as an ordinate, the history clearance curves of all test students are constructed, slope extraction is carried out from the history clearance curves, and the history clearance curves are recorded as clearance increase rates，Indicating the number of the test student,。
Positioning a reference jaywide passing curve of the currently set jaywide attribute of each test student from a cloud database, and performing coincidence comparison with the historical jaywide passing curve to obtain the coincidence curve length ratio of each test student。
Statistics of the adjustment requirement indexes of the corresponding rushing mode of each test student，，Respectively setting the reference passing increase rate and the suitable passing increase rate deviation of the crosslet,To set the reference curve coincidence ratioAs a result of the analysis.
Preferably, the statistics of the achievement ratio of each checkpoint in each break through of each test student history include: extracting task completion time length, score value, error number, setting number of the jaywalked tasks, setting task completion time length and setting rated score from the jaywalked data of each gate in each break of each test student history, and recording as respectively、、、、And，Represents the number of the historical jaywalking order,，The number of the checkpoint is indicated as such,。
Counting the achievement ratio of each checkpoint in each break-over of each test student history，，Respectively set reference closing time length difference, closing score difference and closing error frequency difference,In order to set the error rate of the device,In order to achieve the number of checkpoints,In order to round the symbol down,And setting a reference closing violation fitness.
Preferably, the performing the analysis of the local adjustment desirability of the jayware pattern includes: and integrating the achievement ratio of each checkpoint when each test student makes a history of each break-over to obtain the achievement ratio of each test student corresponding to each history of each break-over under each checkpoint.
If the achievement ratio of a certain historical clearance is larger than the set reference achievement ratio, the historical clearance is recorded as effective clearance, and the effective clearance times of each test student under each clearance are counted.
Will beAs the clearance rate, the clearance rate of each test student under each checkpoint is counted, and then the average clearance rate of the test students under each checkpoint is obtained by averaging，The number of the checkpoint is indicated as such,Setting the adjustment requirement trend factors of the various checkpoints。
According to the currently set rushing-through attribute of each test student, each test student is divided into each class I student, each class II student and each class III student, and the rushing-through attribute is one of class I attribute, class II attribute and class III attribute.
Screening the clearance passing rate of each class I student, each class II student and each class III student from the clearance passing rate of each test student under each checkpoint, and respectively obtaining the average clearance passing rate of each class I student, class II student and class III student under each checkpoint through mean value calculation, wherein the average clearance passing rate is respectively recorded as、And。
Counting the passing coincidence degree of the corresponding clearance student of each clearanceAnd then willAdjustment of demand index as corresponding to the customs clearance mode of each checkpoint，The set unit adjustment demand trend factor corresponds to the compensation adjustment demand index,To set the passing coincidence of the reference break-through.
Preferably, the setting the adjustment requirement trend factor of each checkpoint includes: sequencing the historical various customs according to the customs time sequence, and accordingly confirming the customs passing fluctuation degree of each test student under each customs。
And constructing a history clearance achieving curve of each test student under each checkpoint by taking the history clearance order as an abscissa and the achievement ratio as an ordinate, halving and dividing the history clearance achieving curve, and sequentially recording the divided curve sections as a curve section A and a curve section B according to the history clearance order.
Extracting the slopes of the curve segment A and the curve segment B corresponding to each test student under each checkpoint, and respectively marking asAndCounting the adaptation degree of each test student corresponding to the break-through under each checkpoint。
And calculating the unevenness of the adaptation degree of the corresponding interlope of the test scholars under each checkpoint by the variance, and judging whether the unevenness of the adaptation degree of the corresponding interlope of the test scholars under each checkpoint is smaller than the set reference unevenness.
If the judgment result of a certain checkpoint is yes, marking the adaptation degree of each test student corresponding to the checkpoint asWill beAs the checkpoint adjustment demand trend factor, and is recorded as，To set a reference fitness.
If the judging result of a certain checkpoint is negative, confirming the concentrated gateway-breaking adaptability of the test trainee under the checkpointWill beAs the checkpoint adjustment demand trend factor, and is recorded asSetting the adjustment requirement trend factor of each gateway，Take the value ofOr alternatively。
Preferably, the adjustment type of the jaywalking mode can be determined by an adjustment determination model, and the specific expression formula of the adjustment determination model is as follows:， indicating that a proposition symbol exists, Representing an arbitrary sign of the proposition,The proposition symbol is represented and presented.
Preferably, the determining the adjustment information under the adjustment type of the jayware mode includes: when the adjustment type of the clearance mode is integral adjustment, each test student with the corresponding clearance mode adjustment requirement index larger than 0 is selected from the test students to serve as each student to be adjusted, and the adjustment difficulty level of each student to be adjusted is analyzed to serve as adjustment information of integral adjustment.
When the adjustment type of the jaywalking mode is local adjustment, each checkpoint with the adjustment requirement index larger than 0 corresponding to the jaywalking mode is selected from the checkpoints to serve as each adjustment checkpoint, and the adjustment rule of each adjustment checkpoint is confirmed to serve as adjustment information of local adjustment.
When the regulation type of the jaywalking mode is comprehensive regulation, the regulation information of integral regulation and local regulation is used as the regulation information of comprehensive regulation.
Preferably, the analyzing the adjustment difficulty level of each student to be adjusted includes: and marking the difference between the task completion time and the set task completion time as the completion time difference.
Taking the ratio of the error number to the set number of the jaywalking tasks as the error rate, and counting the completion time difference and the error rate of each checkpoint when each student to be adjusted makes a history of each jaywalking, thereby counting the jaywalking promotion degree of each student to be adjusted，Indicating the number of the trainee to be adjusted,。
Will beAnd comparing the matched jaywalking difficulty level with the jaywalking degree interval corresponding to the set jaywalking difficulty level to obtain the matched jaywalking difficulty level of the jaywalking degree corresponding to the student to be adjusted, and taking the matched jaywalking difficulty level as the adjustment difficulty level of the student to be adjusted.
Preferably, the confirming the adjustment scheme of each adjustment checkpoint includes: and extracting the average passing rate of the test scholars under each adjustment checkpoint and the average passing rate of the class I scholars, the class II scholars and the class III scholars, setting a checkpoint adjustment difficulty judgment rule, and judging the difficulty trend of each adjustment checkpoint according to the average passing rate.
Confirming evaluation variables of each adjustment checkpoint, and if the difficulty of a certain adjustment checkpoint tends to be improved, extracting the set task difficulty ratio of the adjustment checkpoint from a cloud databaseThe evaluation variable of the adjustment checkpoint is recorded asWill beAs an adjustment scheme for the adjustment checkpoint,The difference in the variables is evaluated for the set units, corresponding to the increased difficulty ratio.
If the difficulty of a certain adjustment checkpoint tends to be reduced, extracting the set task difficulty ratio of the adjustment checkpoint from the cloud databaseThe evaluation variable of the adjustment checkpoint is recorded asWill beAs an adjustment scheme for the adjustment checkpoint,And correspondingly reducing the difficulty ratio for the set unit evaluation variable difference so as to obtain the adjustment scheme of each adjustment checkpoint.
Preferably, the determining the evaluation variable of each adjustment checkpoint includes: if the difficulty of a certain adjustment checkpoint tends to be raised, extracting the maximum value from the average clearance rates of class I, class II and class III students under the adjustment checkpointAt the same time, the average passing rate of the test scholars under the adjustment level is recorded asWill beAs an evaluation variable for the regulatory checkpoint.
If the difficulty of a certain adjustment checkpoint tends to be reduced, extracting the minimum value from the average clearance rates of class I, class II and class III students under the adjustment checkpointAt the same time, the average passing rate of the test scholars under the adjustment level is recorded asWill beAs the evaluation variable of the adjustment gate, the evaluation variable of each adjustment gate is obtained.
Compared with the prior art, the invention has the following beneficial effects: (1) According to the invention, the adjustment requirement analysis is respectively carried out from the whole dimension and the local dimension by combining the attribute of the currently set jaywide pattern of the test student, so that the adjustment information under the adjustment type of the jaywide pattern is confirmed, the problems of insufficient pertinence and flexibility of the current test optimization are effectively solved, the defect existing in the current overall evaluation is avoided, the individual differences of different students are fully considered, the deep and multidimensional analysis of the adjustment requirement of the jaywide pattern of the student is realized, the rationality and the reliability of the test content optimization are greatly improved, and the suitability and the effectiveness of the test content optimization are effectively ensured.
(2) When the integral adjustment desirability analysis is carried out, the invention intuitively displays the dynamic learning development rule of different test students by carrying out dynamic analysis on the data of the intrusion of different students under different checkpoints, avoids the defects of the current result-oriented analysis mode, expands the evaluation coverage and evaluation reference basis of the adjustment desirability analysis, thereby facilitating the setting of the personalized intrusion mode for different students and improving the accuracy and the referential of the evaluation result from another aspect.
(3) When the invention is used for carrying out local adjustment desirability analysis, the achievement ratio of each checkpoint in each break of the histories of each test student is integrated, and the test performances of different students at different checkpoints are further compared and analyzed, so that the setting adaptation condition of different checkpoints is intuitively displayed, the defect of the current unquantized detail performance is overcome, the timeliness of the adjustment of the test contents of different checkpoints is further ensured, the overall level of the students at different checkpoints is conveniently and comprehensively known, the comprehensiveness of the setting of the checkpoints and the fitting property with actual application scenes are improved, and the real capability of the students can be accurately reflected by the evaluation result.
(4) According to the invention, the adjustment difficulty level of a student to be adjusted is confirmed by carrying out the analysis of the degree of improvement of the break-over from the change condition of the difference of the completion time length and the error rate, and the adjustment difficulty trend judgment and the difficulty ratio setting analysis of the adjustment checkpoints are carried out by setting the adjustment difficulty judgment rule of the checkpoints, so that the referential property and the normalization of the adjustment information setting are ensured, more accurate, personalized and dynamic learning evaluation is further provided for the follow-up, the growth and the development of the student are promoted, and the suitability and the effectiveness of the break-over mode evaluation setting are also improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present 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 schematic diagram of the connection of the modules of the system of the present invention.
Fig. 2 is a schematic diagram of a process flow for analyzing the adjustment requirements of the setting of the intrusion pattern according to 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 present invention provides an educational testing evaluation management system, comprising: the system comprises a test data extraction module, a mode setting analysis module, a mode adjustment analysis module, a cloud database and a mode adjustment processing terminal.
The test data extraction module is respectively connected with the mode setting analysis module and the mode adjustment analysis module, the mode setting analysis module is respectively connected with the mode adjustment analysis module and the cloud database, and the mode adjustment analysis module is respectively connected with the cloud database and the mode adjustment processing terminal.
The test data extraction module is used for extracting the currently set jaywalking attribute of each test student and the recorded jaywalking data of each test student when each time of jaywalking is historic.
Specifically, the record of the jayway data includes, but is not limited to, a task completion time, a score value, a number of errors, a set jayway task bar number, a set task completion time, and a set rating value.
Referring to fig. 2, the mode setting analysis module is configured to perform an adjustment requirement analysis of an jaywalking mode setting, and includes: s1, carrying out overall adjustment desirability analysis on the clearance mode to obtain an analysis result.
Specifically, the overall adjustment desirability analysis of the jaywalking mode includes: s11, locating the break-over data of each gate from the record break-over data, and accordingly counting the achievement ratio of each gate when each test student makes a break-over for each time.
Further, the statistics of the achievement ratio of each checkpoint in each break through of each test student history includes: e1, extracting task completion time length, score value, error number, setting number of the jaywalked tasks, setting task completion time length and setting rated score from the jaywalked data of each gate in each test student history of each jaywalked, and respectively recording as、、、、And，Represents the number of the historical jaywalking order,，The number of the checkpoint is indicated as such,。
E2, counting the achievement ratio of each checkpoint in each break-over of each test student history，，Respectively set reference closing time length difference, closing score difference and closing error frequency difference,In order to set the error rate of the device,In order to achieve the number of checkpoints,In order to round the symbol down,And setting a reference closing violation fitness.
In one embodiment of the present invention, in one embodiment,The value can be 0.3.
And S12, recording the pass gate with the achievement ratio larger than the set reference achievement ratio as the pass gate, and counting the number of the pass gates when each test student makes a history of each break.
S13, willThe history clearance curve is recorded as a clearance ratio, the history clearance sequence is taken as an abscissa, the clearance ratio is taken as an ordinate, the history clearance curves of all test students are constructed, slope extraction is carried out from the history clearance curves, and the history clearance curves are recorded as clearance increase rates，Indicating the number of the test student,。
It should be noted that, the slope refers to the slope of the regression line corresponding to the curve, and the subsequent slope is extracted in the same way.
S14, locating a reference jaywide curve of the currently set jaywide attribute of each test student from the cloud database, and performing coincidence comparison with the historical jaywide curve to obtain the coincidence curve length ratio of each test student。
It should be explained that the coincidence curve length ratio refers to the ratio of the coincidence curve length of the reference passing curve and the history passing curve to the reference passing curve length.
S15, counting the adjustment requirement indexes of the corresponding rushing mode of each test student，，Respectively setting the reference passing increase rate and the suitable passing increase rate deviation of the crosslet,To set the reference curve coincidence ratioAs a result of the analysis.
When the embodiment of the invention is used for carrying out integral adjustment desirability analysis, the dynamic analysis is carried out on the data of the break-through under different checkpoints of different test students, so that the defects of the current result-oriented analysis mode are overcome by intuitively showing the dynamic learning development rule of the different test students, the evaluation coverage and evaluation reference basis of adjustment desirability analysis are expanded, the personalized break-through mode setting for the different students is facilitated, and the accuracy and the reference of the evaluation result are also improved from another level.
S2, carrying out local adjustment desirability analysis on the clearance mode to obtain an analysis result, wherein the method specifically comprises the following steps: s21, integrating the achievement ratio of each checkpoint when each test student makes a history of each break-over to obtain the achievement ratio of each test student under each checkpoint when each break-over corresponding to the history.
In one embodiment, the specific integration process for integrating the achievement ratio of each checkpoint in each break of each test student history is as follows: and step1, testing the corresponding relation between the student and the checkpoint in a spreadsheet.
And step 2, matching the test scholars with each checkpoint when each break of the histories of the test scholars is performed according to the numbers of the test scholars.
And 3, recording the historical comparison of each time of the clearance of the test student at the intersection corresponding to the test student and the clearance, and generating a clearance record table according to the recorded comparison.
And 4, locating the achievement ratio of each test student corresponding to the history of each break under each gate from the break record table.
S22, if the achievement ratio of the history during certain break-over is larger than the set reference achievement ratio, recording the history of the break-over as effective break-over, and counting the effective break-over times of each test student under each gate.
S23, willAs the clearance rate, the clearance rate of each test student under each checkpoint is counted, and then the average clearance rate of the test students under each checkpoint is obtained by averaging，The number of the checkpoint is indicated as such,Setting the adjustment requirement trend factors of the various checkpoints。
Further, setting the adjustment requirement trend factor of each gateway includes: w1, sequencing historical various customs according to the customs time sequence, and accordingly confirming the customs passing fluctuation degree of each test student under each customs。
Understandably, determining the degree of surging through fluctuation of each test student under each checkpoint includes: and W11, if the achievement ratio of a certain test student under a certain checkpoint corresponding to a certain historical break-through is smaller than the set reference achievement ratio, recording the historical break-through as a difference break-through.
And W12, extracting the position sequence of each time of the jaywalks of the history, and extracting the numbers of each effective jaywalks and each difference jaywalks corresponding to each test student under each checkpoint, thereby obtaining the difference jaywalks corresponding to each effective jaywalks interval of each test student under each checkpoint according to the position sequence.
W12, if the difference of the interval between an effective break and an adjacent effective break is not 0, taking the effective break and the adjacent effective break as a fluctuation break group, and counting the fluctuation break group number of each test student under each gate。
W13, recording the difference clearance between each effective clearance corresponding to each test student under each clearance as，Indicating a valid code of a break-through,。
In one embodiment of the present invention, in one embodiment,Is a positive integer greater than 2.
W14, counting the passing fluctuation degree of the rushes of each test student under each checkpoint，，In order to set the multiplying power,To set the reference fluctuation jaywalking group number difference,Represent the firstUnder the individual checkpointThe number of valid breaks by the individual test students,To set the reference difference break-through number difference,Represent the firstUnder the individual checkpointCorresponding to the test traineeEffective break-through and the firstThe effective inter-break interval varies the number of breaks.
In one embodiment of the present invention, in one embodiment,The value can be，The value may be set to 2,And the method is specifically set according to the historical break-through times in the actual scene.
And W2, constructing a history clearance achievement curve of each test student under each checkpoint by taking the history clearance order as an abscissa and taking the achievement ratio as an ordinate, halving and dividing the history clearance achievement curve, and sequentially recording the divided curve sections as a curve section A and a curve section B according to the history clearance order.
W3, extracting the slopes of the curve segment A and the curve segment B corresponding to each test student under each checkpoint, and respectively marking asAndCounting the adaptation degree of each test student corresponding to the break-through under each checkpoint，，To set the reference jaywalking degree of fluctuation,To set the reference curve slope difference,To set the reference second stage to achieve the curve slope value,To set the excess slope value.
In one embodiment of the present invention, in one embodiment,The specific value may be 0.
And W4, calculating the unevenness of the corresponding interlope fitness of the test scholars under each gate by variance, and judging whether the unevenness of the corresponding interlope fitness of the test scholars under each gate is smaller than the set reference unevenness.
W5, if the judgment result of a certain checkpoint is yes, marking the adaptation degree of the corresponding rushing gateway of each test student under the checkpoint asWill beAs the checkpoint adjustment demand trend factor, and is recorded as，To set a reference fitness.
W6, if the judging result of a certain checkpoint is negative, confirming the concentrated gateway-break adaptability of the test trainee under the checkpointWill beAs the checkpoint adjustment demand trend factor, and is recorded asSetting the adjustment requirement trend factor of each gateway，Take the value ofOr alternatively。
It should be noted that, the method for confirming the concentrated gateway running fitness of the test student under the gateway includes: and W61, recording a test student with the gateway running fitness being greater than or equal to the average gateway running fitness as a first student, recording a test student with the gateway running fitness being less than the average gateway running fitness as a second student, and counting the number of the first students and the number of the second students under the gateway.
W62, ifAnd carrying out average value calculation on the corresponding gateway-running fitness of each first student, and taking the calculation result as the concentrated gateway-running fitness of the test students under the gateway.
W63, ifAnd extracting a minimum value from the corresponding jaywalking fitness of each first student as a first student reference jaywalking fitness, extracting a maximum value from the corresponding jaywalking fitness of each second student as a second student reference jaywalking fitness, carrying out mean value calculation on the first student reference jaywalking fitness and the second student reference jaywalking fitness, and taking a calculation result as the concentrated jaywalking fitness of the test student under the checkpoint.
W64, ifAnd carrying out average value calculation on the corresponding gateway-running fitness of each second student, and taking the calculation result as the concentrated gateway-running fitness of the test students under the gateway.
S24, dividing each test student into each class I student, each class II student and each class III student according to the currently set jaywalking attribute of each test student, wherein the jaywalking attribute is one of the class I attribute, the class II attribute and the class III attribute.
S25, screening the clearance passing rate of each class I student, each class II student and each class III student from the clearance passing rate of each test student under each checkpoint, and obtaining the average clearance passing rate of each class I student, class II student and class III student under each checkpoint through average calculation, wherein the average clearance passing rate is respectively recorded as、And。
S26, counting the passing coincidence degree of the jaywalking of the corresponding jaywalking student of each checkpointAnd then willAdjustment of demand index as corresponding to the customs clearance mode of each checkpoint，The set unit adjustment demand trend factor corresponds to the compensation adjustment demand index,To set the passing coincidence of the reference break-through.
Further, the passing coincidence degree of the jaywalking of the corresponding jaywalking student of each checkpoint is specifically expressed as follows:， The overall passing rate, class I trainee passing rate, class II trainee passing rate and class III trainee passing rate of the set reference are respectively, The overall passing rate deviation of the set permissions, the passing rate deviation of class I students, the passing rate deviation of class II students and the passing rate deviation of class III students are respectively,And respectively evaluating the duty ratio weight factors for the set overall passing rate, class I trainee passing rate, class II trainee passing rate and class III trainee passing rate corresponding adjustment requirements.
In one embodiment, the information may be used to facilitate analysis,Can take values of 0.6, 0.2, 0.1 and 0.1 in sequence,Can take values of 0.6, 0.65, 0.75 and 0.8 in sequence,The values can be 0.15, 0.2, 0.25 and 0.2 in sequence.
When the embodiment of the invention is used for carrying out local adjustment desirability analysis, the achievement ratio of each checkpoint in each break of the history of each test student is integrated, and the test performance of different students at different checkpoints is further compared and analyzed, so that the setting adaptation condition of different checkpoints is intuitively displayed, the defect of the current unquantized detail performance is overcome, the timeliness of the adjustment of the test contents of different checkpoints is further ensured, the overall level of the students at different checkpoints is conveniently and comprehensively known, the comprehensiveness of the setting of the checkpoints and the fitting performance with actual application scenes are improved, and the real capability of the students can be accurately reflected by the evaluation result.
S3, confirming an adjustment type of the jaywalking mode, wherein the adjustment type of the jaywalking mode is one of integral adjustment, local adjustment and comprehensive adjustment.
Specifically, the adjustment type of the jaywalking mode can be determined by an adjustment determination model of the jaywalking mode, and the specific expression formula of the adjustment determination model of the jaywalking mode is as follows:， indicating that a proposition symbol exists, Representing an arbitrary sign of the proposition,The proposition symbol is represented and presented.
The mode adjustment analysis module is used for confirming adjustment information under the adjustment type of the jaywalking mode, and comprises the following steps: and U1, when the adjustment type of the clearance mode is integral adjustment, screening out each test student with the corresponding clearance mode adjustment requirement index larger than 0 from each test student as each student to be adjusted, and analyzing the adjustment difficulty level of each student to be adjusted as the adjustment information of integral adjustment.
The method for analyzing the adjustment difficulty level of each student to be adjusted comprises the following steps: and U11, marking the difference between the task completion time and the set task completion time as the completion time difference.
And U12, taking the ratio of the error number to the set number of the jaywalking tasks as the error rate, and counting the difference of the finishing time length and the error rate of each checkpoint when each student to be adjusted makes historic each time of jaywalking.
And U13, screening the maximum value from the finishing time length differences of the checkpoints, taking the maximum value as a reference time length difference when each student to be adjusted makes various crossovers, and setting the reference error rate when each student to be adjusted makes various crossovers in the same way according to the setting mode of the reference time length difference.
U14, taking the historical clearance sequence as an abscissa, respectively taking the reference time length difference and the reference error rate as an ordinate to construct a corresponding reference time length difference change curve and a corresponding reference error rate change curve of each student to be adjusted, respectively extracting from the slopes, and respectively recording asAnd，Indicating the number of the trainee to be adjusted,。
U15, counting the degree of clearance improvement of each student to be adjusted，，The time difference change rate and the error change rate of the reference are set respectively.
U16, willAnd comparing the matched jaywalking difficulty level with the jaywalking degree interval corresponding to the set jaywalking difficulty level to obtain the matched jaywalking difficulty level of the jaywalking degree corresponding to the student to be adjusted, and taking the matched jaywalking difficulty level as the adjustment difficulty level of the student to be adjusted.
And U2, when the adjustment type of the jaywalking mode is local adjustment, screening each checkpoint with the corresponding adjustment requirement index of the jaywalking mode greater than 0 from each checkpoint, and confirming the adjustment rule of each adjustment checkpoint as the adjustment information of local adjustment.
Specifically, confirming the adjustment scheme of each adjustment checkpoint includes: and U21, extracting the average passing rate of the test scholars under each adjustment checkpoint and the average rushing passing rate of the class I scholars, the class II scholars and the class III scholars, setting a checkpoint adjustment difficulty judgment rule, and judging the difficulty trend of each adjustment checkpoint according to the average passing rate.
In a specific embodiment, the setting the level adjustment difficulty judgment rule is specifically as follows: and setting the average passing rate of the test scholars to be larger than the first reference passing rate as a judging condition that the difficulty tends to be improved.
The average passing rate of the test student is smaller than the set second reference passing rate as a judgment condition for the difficulty trend to be reduced, wherein the first reference passing rate can be 75%, and the second reference passing rate can be 45%.
U22, confirming the evaluation variable of each adjustment checkpoint, if the difficulty of a certain adjustment checkpoint tends to be improved, extracting the set task difficulty ratio of the adjustment checkpoint from the cloud databaseThe evaluation variable of the adjustment checkpoint is recorded asWill beAs an adjustment scheme for the adjustment checkpoint,The difference in the variables is evaluated for the set units, corresponding to the increased difficulty ratio.
Understandably, validating the evaluation variable of each adjustment checkpoint includes: if the difficulty of a certain adjustment checkpoint tends to be raised, extracting the maximum value from the average clearance rates of class I, class II and class III students under the adjustment checkpointAt the same time, the average passing rate of the test scholars under the adjustment level is recorded asWill beAs an evaluation variable for the regulatory checkpoint.
If the difficulty of a certain adjustment checkpoint tends to be reduced, extracting the minimum value from the average clearance rates of class I, class II and class III students under the adjustment checkpointAt the same time, the average passing rate of the test scholars under the adjustment level is recorded asWill beAs the evaluation variable of the adjustment gate, the evaluation variable of each adjustment gate is obtained.
U23, if the difficulty of a certain adjustment checkpoint tends to be reduced, extracting the set task difficulty ratio of the adjustment checkpoint from the cloud databaseThe evaluation variable of the adjustment checkpoint is recorded asWill beAs an adjustment scheme for the adjustment checkpoint,And correspondingly reducing the difficulty ratio for the set unit evaluation variable difference so as to obtain the adjustment scheme of each adjustment checkpoint.
And U3, when the regulation type of the opening mode is comprehensive regulation, taking the regulation information of integral regulation and local regulation as the regulation information of comprehensive regulation.
According to the embodiment of the invention, the adjustment difficulty level of a student to be adjusted is confirmed by carrying out the analysis of the degree of improvement of the break-over from the change condition of the difference of the completion time length and the error rate, and the adjustment difficulty trend judgment and the difficulty ratio setting analysis of the adjustment of the checkpoint are carried out by setting the adjustment difficulty judgment rule of the checkpoint, so that the referential property and the normalization of the adjustment information setting are ensured, more accurate, personalized and dynamic learning evaluation is further provided for the follow-up, the growth and development of the student are promoted, and the suitability and the effectiveness of the break-over mode evaluation setting are also improved.
The cloud database is used for storing reference jaywalking passing curves of each jaywalking attribute, storing a jaywalking lifting degree interval corresponding to each jaywalking difficulty level and storing a set task difficulty ratio of each checkpoint.
The mode adjustment processing terminal is used for adjusting the setting of the jaywalking mode according to the adjustment information under the jaywalking mode adjustment type.
According to the embodiment of the invention, the adjustment requirement analysis is respectively carried out from the whole dimension and the local dimension by combining the attribute of the currently set jaywide pattern of the test student, so that the adjustment information under the adjustment type of the jaywide pattern is confirmed, the problems of the pertinence and the insufficient flexibility of the current test optimization are effectively solved, the defect existing only in the whole evaluation is avoided, the individual differences of different students are fully considered, the deep and multidimensional analysis of the adjustment requirement of the jaywide pattern of the student is realized, the rationality and the reliability of the test content optimization are greatly improved, and the suitability and the effectiveness of the test content optimization are effectively ensured.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (10)
1. An educational test evaluation management system, which is characterized in that: comprising the following steps:
The test data extraction module is used for extracting the currently set jaywalking attribute of each test student and the recorded jaywalking data of each test student when each time of jaywalking is historic;
the mode setting analysis module is used for conducting adjustment demand analysis of the jaywalking mode setting, and comprises the following steps:
S1, carrying out overall adjustment desirability analysis on an interloper mode to obtain an analysis result;
s2, carrying out local adjustment desirability analysis on the clearance mode to obtain an analysis result;
s3, confirming an adjustment type of an opening mode, wherein the adjustment type of the opening mode is one of integral adjustment, local adjustment and comprehensive adjustment;
the mode adjustment analysis module is used for confirming adjustment information under the adjustment type of the jaywalking mode;
the cloud database is used for storing reference jaywalking passing curves of all the jaywalking attributes, storing jaywalking lifting degree intervals corresponding to all the jaywalking difficulty levels and storing set task difficulty ratios of all the checkpoints;
And the mode adjustment processing terminal is used for adjusting the setting of the jaywalking mode according to the adjustment information under the jaywalking mode adjustment type.
2. An educational testing assessment management system according to claim 1, wherein: the overall adjustment desirability analysis of the clearance mode comprises:
Locating the break-over data of each gate from the record break-over data, and accordingly counting the achievement ratio of each gate when each test student makes a break-over for each time;
recording the pass checkpoints with the achievement ratio larger than the set reference achievement ratio as pass checkpoints, and counting the number of the pass checkpoints when each test student makes a history of each break;
Will be The historical clearance passing curve of each test student is constructed by taking the historical clearance sequence as the abscissa and the clearance ratio as the ordinate, and slope extraction is carried out from the history clearance passing curve, and the history clearance passing curve is taken as the clearance passing increasing rate and is recorded as/>，/>Represent test student number,/>；
Positioning a reference jaywide passing curve of the currently set jaywide attribute of each test student from a cloud database, and performing coincidence comparison with the historical jaywide passing curve to obtain the coincidence curve length ratio of each test student；
Statistics of the adjustment requirement indexes of the corresponding rushing mode of each test student，/>，Respectively set reference jaywide passing growth rate and proper jaywide passing growth rate deviation,/>To set the reference curve coincidence ratio, will/>As a result of the analysis.
3. An educational testing assessment management system according to claim 2, wherein: the statistics of the achievement ratio of each checkpoint in each break through of each test student history comprises the following steps:
Extracting task completion time length, score value, error number, setting number of the jaywalked tasks, setting task completion time length and setting rated score from the jaywalked data of each gate in each break of each test student history, and recording as respectively 、/>、/>、/>、And/>，/>Representing historical rushing order number,/>，/>Representing the checkpoint number,/>；
Counting the achievement ratio of each checkpoint in each break-over of each test student history，，/>Respectively, the preset reference critical time length difference, critical score difference and critical error frequency difference,/>To set the error multiplying power,/>For the number of checkpoints,/>To round down the sign,/>And setting a reference closing violation fitness.
4. An educational testing assessment management system according to claim 2, wherein: the locally adjusting desirability analysis of the jaywalking mode comprises the following steps:
integrating the achievement ratio of each checkpoint when each test student makes a history of each break-over to obtain the achievement ratio of each test student corresponding to each history of each break-over under each checkpoint;
if the achievement ratio of a certain historical clearance is larger than the set reference achievement ratio, recording the historical clearance as effective clearance, and counting the effective clearance times of each test student under each clearance;
Will be As the clearance passing rate, the clearance passing rate of each test student under each checkpoint is counted, and then the average value is calculated to obtain the average clearance passing rate/>, of the test students under each checkpoint，/>Representing the checkpoint number,/>Setting adjustment requirement trend factors/>, of each checkpoint；
Dividing each test student into each class I student, each class II student and each class III student according to the currently set rushing-through attribute of each test student, wherein the rushing-through attribute is one of class I attribute, class II attribute and class III attribute;
screening the clearance passing rate of each class I student, each class II student and each class III student from the clearance passing rate of each test student under each checkpoint, and respectively obtaining the average clearance passing rate of each class I student, class II student and class III student under each checkpoint through mean value calculation, wherein the average clearance passing rate is respectively recorded as 、/>And/>；
Counting the passing coincidence degree of the corresponding clearance student of each clearanceAnd will/>Adjustment requirement index/>, as corresponding to the customs clearance mode, of each checkpoint，/>Compensating the demand index for the set unit demand trend factor,/>To set the passing coincidence of the reference break-through.
5. An educational testing assessment management system according to claim 4 wherein: the setting of the adjustment requirement trend factors of the various checkpoints comprises the following steps:
sequencing the historical various customs according to the customs time sequence, and accordingly confirming the customs passing fluctuation degree of each test student under each customs ；
Taking the historical clearance sequence as an abscissa and the achievement ratio as an ordinate, constructing a historical clearance achievement curve of each test student under each checkpoint, halving and dividing the historical clearance achievement curve, and sequentially recording the divided curve sections as a curve section A and a curve section B according to the historical clearance sequence;
extracting the slopes of the curve segment A and the curve segment B corresponding to each test student under each checkpoint, and respectively marking as And/>Statistics of the adaptation degree/>, corresponding to the rushing of each test student, under each checkpoint；
Calculating the unevenness of the corresponding jaywalking fitness of the test trainee under each checkpoint through variance, and judging whether the unevenness of the corresponding jaywalking fitness of the test trainee under each checkpoint is smaller than the set reference unevenness;
If the judgment result of a certain checkpoint is yes, marking the adaptation degree of each test student corresponding to the checkpoint as Will beAs the checkpoint adjustment demand trend factor, and is denoted as/>，/>Setting a reference fitness;
if the judging result of a certain checkpoint is negative, confirming the concentrated gateway-breaking adaptability of the test trainee under the checkpoint Will beAs the checkpoint adjustment demand trend factor, and is denoted as/>Setting the adjustment requirement trend factor/>, of each gateway，/>Take the value of/>Or/>。
6. An educational testing assessment management system according to claim 4 wherein: the adjustment type of the jaywalking mode can be judged by an adjustment judgment model of the jaywalking mode, and the specific expression formula of the adjustment judgment model of the jaywalking mode is as follows:
，/> indicating the presence of propositions,/> Representing arbitrary propositions,/>The proposition symbol is represented and presented.
7. An educational testing assessment management system according to claim 4 wherein: the determining the adjustment information under the adjustment type of the rushing mode comprises the following steps:
when the adjustment type of the clearance mode is integral adjustment, screening each test student with the corresponding clearance mode adjustment requirement index larger than 0 from each test student as each student to be adjusted, and analyzing the adjustment difficulty level of each student to be adjusted as the adjustment information of integral adjustment;
when the adjustment type of the jaywalking mode is local adjustment, each checkpoint with the corresponding adjustment requirement index of the jaywalking mode larger than 0 is selected from the checkpoints to serve as each adjustment checkpoint, and the adjustment rule of each adjustment checkpoint is confirmed to serve as adjustment information of local adjustment;
When the regulation type of the jaywalking mode is comprehensive regulation, the regulation information of integral regulation and local regulation is used as the regulation information of comprehensive regulation.
8. An educational testing assessment management system according to claim 7 wherein: the analyzing the adjustment difficulty level of each student to be adjusted comprises the following steps:
marking the difference between the task completion time and the set task completion time as the completion time difference;
Taking the ratio of the error number to the set number of the jaywalking tasks as the error rate, and counting the completion time difference and the error rate of each checkpoint when each student to be adjusted makes a history of each jaywalking, thereby counting the jaywalking promotion degree of each student to be adjusted ，/>Representing the number of the trainee to be adjusted,/>；
Will beAnd comparing the matched jaywalking difficulty level with the jaywalking degree interval corresponding to the set jaywalking difficulty level to obtain the matched jaywalking difficulty level of the jaywalking degree corresponding to the student to be adjusted, and taking the matched jaywalking difficulty level as the adjustment difficulty level of the student to be adjusted.
9. An educational testing assessment management system according to claim 7 wherein: the step of confirming the adjustment scheme of each adjustment checkpoint comprises the following steps:
Extracting the average passing rate of the test scholars under each adjustment checkpoint and the average passing rate of the class I scholars, the class II scholars and the class III scholars, setting a checkpoint adjustment difficulty judgment rule, and judging the difficulty trend of each adjustment checkpoint according to the average passing rate;
Confirming evaluation variables of each adjustment checkpoint, and if the difficulty of a certain adjustment checkpoint tends to be improved, extracting the set task difficulty ratio of the adjustment checkpoint from a cloud database The evaluation variable of the adjustment checkpoint is recorded as/>Will/>As an adjustment scheme of the adjustment checkpoint,/>Evaluating the corresponding increase difficulty ratio of the variable difference for the set unit;
if the difficulty of a certain adjustment checkpoint tends to be reduced, extracting the set task difficulty ratio of the adjustment checkpoint from the cloud database The evaluation variable of the adjustment checkpoint is recorded as/>Will/>As an adjustment scheme of the adjustment checkpoint,/>And correspondingly reducing the difficulty ratio for the set unit evaluation variable difference so as to obtain the adjustment scheme of each adjustment checkpoint.
10. An educational testing assessment management system according to claim 9, wherein: the step of confirming the evaluation variable of each adjustment checkpoint comprises the following steps:
if the difficulty of a certain adjustment checkpoint tends to be raised, extracting the maximum value from the average clearance rates of class I, class II and class III students under the adjustment checkpoint At the same time, the average passing rate of the test scholars under the adjustment checkpoints is recorded as/>Will beAs an evaluation variable for the adjustment checkpoint;
If the difficulty of a certain adjustment checkpoint tends to be reduced, extracting the minimum value from the average clearance rates of class I, class II and class III students under the adjustment checkpoint At the same time, the average passing rate of the test scholars under the adjustment checkpoints is recorded as/>Will/>As the evaluation variable of the adjustment gate, the evaluation variable of each adjustment gate is obtained.
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