CN102402873A - System and method for analysing learning weaknesses according to question types - Google Patents
System and method for analysing learning weaknesses according to question types Download PDFInfo
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- CN102402873A CN102402873A CN2010102784208A CN201010278420A CN102402873A CN 102402873 A CN102402873 A CN 102402873A CN 2010102784208 A CN2010102784208 A CN 2010102784208A CN 201010278420 A CN201010278420 A CN 201010278420A CN 102402873 A CN102402873 A CN 102402873A
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Abstract
The invention discloses a system and a method for analysing learning weaknesses according to question types. The accuracy rate or the error rate of a question type of each question is subjected to statistics according to the accuracy rate or the error rate of each question in a test result; a radar diagram is displayed and technical means of learning resources corresponding to the question types with low accuracy rate or high error rate is provided according to a statistics result; the learning weaknesses can be effectively obtained by a small-scale question bank and the technical effect of correctly judging the learning weaknesses by few questions is achieved.
Description
Technical field
The present invention relates to a kind of vulnerability analysis system and method thereof, be meant a kind of system and method thereof especially according to topic type analysis study weakness.
Background technology
The mode of existing auxiliary user's study; Most modes that all are to use test; Just after user's reading learning content, the function of test can be provided, and accomplish the test back the user test result is analyzed; So as to obtaining user's weakness in the study, and relevant exercise is provided according to the weakness of analyzing gained.
The various softwares (like dictionary software etc.), device (like language translation machine etc.) of language learning or the vulnerability analysis of server are provided at present; Be to distinguish mostly to projects such as the grammer of language, sentence patterns; The analysis project that branches away like this is often more trifling, and the weakness that causes analysis to come out is relatively disperseed, for example; In the exam pool of existing TOEIC, about 200 road examination questions just have 50 to 100 analysis projects.So, if need effectively analyze the weakness of study, then need a large amount of analysiss of data, that is to say that the scale of test item bank very great talent possibly provide a large amount of analysiss of data.In fact, provide the various softwares of language learning and device not to have enough exam pools at present, therefore, the result of analysis might not be accurate.
In addition, the result who analyzes at present normally shows with histogram or cake chart, because the project of analyzing is too many, therefore is used for display analysis result's histogram or cake chart can't effectively let the user learn weakness in study fast.
In sum, can know that prior art has existed the user can't effectively be obtained to learn the problem of weakness by the small-scale exam pool since the midium or long term always, therefore be necessary to propose improved technological means, solve this problem.
Summary of the invention
Because there is the problem that can't effectively be obtained to learn weakness by the small-scale exam pool in prior art, so the present invention discloses a kind of system and method thereof according to topic type analysis study weakness, wherein:
The disclosed system according to topic type analysis study weakness of the present invention comprises at least: storage module, in order to store a plurality of examination questions, the corresponding topic type of an examination question; Statistical module is in order to the accuracy of each examination question of all previous test result statistics of foundation or the accuracy or the corresponding statistics of error rate of error rate and generation and each topic type; The radar map generation module is in order to produce the accuracy of corresponding each topic type or the radar map of error rate according to statistics; Topic type judge module is in order to topic type lower according to statistics correct judgment rate or that error rate is higher; Display module is in order to show radar map; Education resource provides module, in order to topic type lower according to accuracy or that error rate is higher corresponding education resource is provided.
The disclosed method of the present invention according to topic type analysis study weakness, its step comprises at least: a plurality of examination questions are provided, the corresponding topic type of an examination question; According to the accuracy of all previous each examination question of test result statistics or the accuracy or the corresponding statistics of error rate of error rate and generation and each topic type; Produce the accuracy of corresponding each topic type or the radar map of error rate according to statistics; The topic type lower according to statistics correct judgment rate or error rate is higher; Show radar map; Topic type lower according to accuracy or that error rate is higher provides corresponding education resource.
The disclosed System and method for of the present invention as above; And the difference between the prior art is the accuracy or the error rate of the topic type that the present invention counts each examination question according to the accuracy or the error rate of each examination question in the test result; And according to the statistical result showed radar map and provide lower or the corresponding education resource of topic type that error rate is higher with accuracy; So as to solution existing in prior technology problem, and can reach the technological effect of correctly judging the study weakness with fewer examination question.
Description of drawings
Fig. 1 learns the system architecture diagram of weakness for what the present invention carried according to inscribing type analysis.
The radar map that Fig. 2 carries for the embodiment of the invention.
Fig. 3 learns the method flow diagram of weakness for what the present invention carried according to inscribing type analysis.
[main element symbol description]
110 storage modules
120 statistical modules
130 radar map generation modules
140 display modules
150 topic type judge modules
160 education resources provide module
190 setting modules
200 radar maps
210 irregular areas
Embodiment
Below conjunction with figs. and embodiment are specified characteristic of the present invention and embodiment; Content is enough to make any those skilled in the art can make much of the applied technological means of technical solution problem of the present invention easily and implements according to this, realizes the attainable effect of the present invention whereby.
The present invention can be according to all previous test result; Topic type accuracy or error rate to each examination question in the test result are added up; So as to generation and the corresponding radar map of statistics, and, corresponding education resource is provided according to the topic type of the test result that counts than other topic type differences.
Result after the test result person of being to use that the present invention carried tests, the test that the user carried out is the process of answering examination question of doing, and generally speaking, user's test each time all need be done and answer a plurality of examination questions.The present invention can store the test result that the user tests each time, so as to carrying out the statistics of test result.
The education resource that the present invention carried is the data that can let the user learn, the for example examination question of test, or learning materials etc., but the present invention is not as limit.Wherein, learning materials be for can letting the user understand the data of examination question, the for example explanation of the notion of examination question, but the present invention is not also as limit.
Following elder generation explains System Operation of the present invention with the system architecture diagram according to topic type analysis study weakness that Fig. 1 the present invention is carried.As shown in Figure 1, system of the present invention contains storage module 110, statistical module 120, radar map generation module 130, display module 140, topic type judge module 150, education resource provides module 160.
The test result that is produced after all previous test of the also responsible storage user of storage module 110.That is to say that the test result that the user is produced after the test of accomplishing each time can be stored module 110 and store, the test result that is stored promptly becomes the part of all previous test result.
In fact; Statistical module 120 is except can carrying out the statistics of accuracy or error rate of each examination question all test results in the storage module 110, and statistical module 120 also can be picked out the accuracy of each examination question of statistics or the test result of error rate according to the test date (date that test result produces) that the user tests.For example; Statistical module 120 can be picked out the interval time of a plurality of test results within a certain period of time of double test; Also can pick out the test date distance test result in the certain hour etc. instantly, but the mode of the test result that statistical module 120 is added up according to the test date selections not with above-mentioned both exceed.
The accuracy of each topic type that radar map generation module 130 is responsible for being counted according to statistical module 120 or the statistics of error rate produce corresponding radar map.The number of vertex of the radar map that radar map generation module 130 is produced is identical with the topic type number that storage module 110 stored examination questions are classified; That is to say; Each topic type that storage module 110 stored examination questions are classified all can be the summit of the radar map that produced of radar map generation module 130; The accuracy or the error rate of each topic type that statistical module 120 is counted then show in the radar map; Be illustrated in figure 2 as the radar Figure 200 with seven summits, the irregular area 210 in radar Figure 200 is the accuracy or the error rate of each topic type that statistical module 120 counted.
Each the topic type accuracy that topic type judge module 150 is responsible for being counted according to statistical module 120 or the statistics of error rate are judged the topic type that accuracy is low than other topic types or error rate is high than other topic types.
Education resource provides module 160 to be responsible for the topic type of being judged according to topic type judge module 150 that accuracy is lower or error rate is higher, and corresponding education resource is provided.The education resource that education resource provides module 160 to be provided for example provides the test of the topic type that accuracy is lower or error rate is higher; Or the learning materials of the demonstration topic type that accuracy is lower or error rate is higher; But education resource provide education resource that module 160 provided not with above-mentioned both exceed, all modes that can let user's correct rate topic type lower or that error rate is higher learn all can be by used herein.
In addition; The present invention more can comprise setting module 190; Setting module 190 is responsible for when education resource provides the test that module 160 provides the topic type that accuracy is lower or error rate is higher; The quantity of the examination question of setting each topic type of test is provided, makes education resource that the examination question quantity test user of each topic type that the performed learning program of module 160 sets according to setting module 190 is provided.
Then explain orally operation system of the present invention and method with an embodiment, and the method flow diagram according to topic type analysis study weakness that please the present invention is carried with reference to Fig. 3.
No matter the present invention is applied in the testing sequence, is contained on the electronic installation that test is provided or is executed on the server that test service is provided, before the present invention provided the user to use, storage module 110 all need store a plurality of examination questions.In the present embodiment, storage module 110 stored examination questions are contained in the stored TOEIC test item bank of storage module 110, but the examination question that the present invention carried does not exceed with the TOEIC examination question.In the TOEIC test item bank; Comprise seven kinds of topic types, be respectively the topic type that " see photo is done answer ", " listening question sentence to do answers ", " listening brief dialogue to do answers " and " listening brief monologue to do answers " are waited three kinds of readings such as topic type and " traditional reading test topic " of four kinds of hearing, " the complete topic of filling a vacancy " and " simple sentence fill a vacancy topic ".
After storage module 110 stores examination questions, the examination question of testting (step 301) just can be provided, make subsequent module to test the back test result that is produced and carry out subsequent step according to the user.
After the user accomplishes test and test result is stored to storage module 110; Statistical module 120 can be according to all previous accuracy or the error rate of testting each examination question of test result statistics that is produced of user, and produces accuracy or the corresponding statistics of error rate (step 320) of distinguishing each corresponding topic type with each examination question.In the present embodiment; After the accuracy of as if statistics module 120 each examination question in to all previous test result is added up; The accuracy that counts the examination question corresponding with topic type " see photo is done answer " for the accuracy of " 85% ", the examination question " listen question sentence do answer " corresponding with the topic type for " 60% ", with the accuracy of the corresponding examination question of topic type " listening brief dialogue to do answers " for " 65% ", with the accuracy of the corresponding examination question of topic type " tin brief monologue is done and answered " be " 100% ", with the accuracy of the corresponding examination question of topic type " traditional reading test topic " be " 60% ", with the accuracy of the corresponding examination question of topic type " the complete topic of filling a vacancy " be " 65% ", with the accuracy of the corresponding examination question of topic type " simple sentence fill a vacancy topic " be " 30% ", but the present invention is not as limit.
In fact; Statistical module 120 is in the accuracy or the error rate of each examination question of statistics; And produce and when the accuracy of each topic type or the corresponding statistics of error rate (step 320); Might not test the test result that is produced each time according to the user and add up, also can test the test result that date selection is added up, for example; The test date of the test result that storage module 110 is stored is respectively 2009/12/25,2010/2/8,2010/3/14,2010/4/8,2010/4/13 etc.; If what statistical module 120 was carried out is 2010/4/15 instantly, then statistical module 120 test result that can select four tests that (2010/1/15 to 2010/4/15) is carried out in modern three months is added up, and also can select by beginning instantly; At interval the test result of the test of fate in a week is added up etc., but the present invention is not as limit.Wherein, if statistical module 120 is added up according to the test result of the test of fate in a week at interval, that is to say; Statistical module 120 can judge in the last week of 2010/4/15, whether to carry out test earlier, because the user carried out test 2010/4/13, therefore; The user can be selected at the test result of 2010/4/13 test carried out, and then, statistical module 120 can continue the time according to the test of being selected; Just 2010/4/13, judge in the last week whether carried out test, similar; The user carried out test 2010/4/8, so the user can be selected at the test result of 2010/4/8 test carried out; And because the user does not test in the last week of 2010/4/8; Therefore, statistical module 120 can finish selecting of test results, and uses 2010/4/8 and 201,0/4,/13 twice test result to add up.
In addition, statistical module 120 might not just can be carried out after the user accomplishes test and test result is stored to storage module 110, also can when the user desires to watch test result, carry out, but the present invention is not as limit.
Wherein, The statistics correct judgment rate step 350 lower or the topic type that error rate is higher that radar map generation module 130 produces radar map according to the accuracy of each topic type or error rate step 330 and topic type judge module 150 are produced according to statistical module 120 is not carried out the relation of precedence; That is to say; Radar map generation module 130 also can produce radar map (step 330) again after topic type judge module 150 is judged the topic type (step 350) that accuracy is lower or error rate is higher.
After the statistics that topic type judge module 150 is produced according to statistical module 120 is judged the topic type (step 350) that accuracy is lower or error rate is higher; The topic type that accuracy is lower or error rate is higher that education resource provides module 160 to be judged according to topic type judge module 150 provides corresponding education resource (step 370).In the present embodiment; Suppose that the education resource that education resource provides module 160 to provide is the learning materials that show the topic type that accuracy is lower or error rate is higher; Then education resource provides module 160 performed learning programs will demonstrate and the corresponding learning materials of topic type " simple sentence fill a vacancy topic ", data such as the syntax, Jie's copula for example, so; The user can learn that just the weakness of oneself is " simple sentence fill a vacancy topic ", and can strengthen the study of " simple sentence fill a vacancy topic " through the present invention.
And if the education resource that education resource provides module 160 to be provided is that the topic type that the correct rate is lower or error rate is higher is test; Then education resource provide module 160 will be once more by reading the examination question of topic type in the storage module 110 for " simple sentence fill a vacancy topic "; And providing the user to test, the test result that the test back is produced can be stored in the storage module 110 equally.
In the foregoing description; After the accuracy or error rate generation radar map (step 330) of each topic type that radar map generation module 130 is counted according to statistical module 120; Display module 140 can show the radar map (step 340) that radar map generation module 130 is produced; In addition; After the statistics that topic type judge module 150 is produced according to statistical module 120 is judged the topic type (step 350) that accuracy is lower or error rate is higher; Display module 140 can show the prompting (step 360) of the topic type that accuracy is lower or error rate is higher, makes radar Figure 200 that the user can be shown through display module 140 even oneself weakness is learnt in the prompting of the topic type that accuracy is lower or error rate is higher that shown through display module 140.
In addition; If also comprise setting module 190 in the present embodiment; Then before education resource provides the performed learning program of module 160 to read the examination question of topic type for " simple sentence fill a vacancy topic " in by storage module 110, the quantity that can provide the user to set the examination question of desiring to test for example is 5 to inscribe; Make education resource provide the performed learning program of module 160 by reading the examination question of five topic types in the storage module 110, and provide the user to test for " simple sentence fill a vacancy topic ".In fact, setting module 190 also can provide user's setting in setting the interface to need the topic type and the quantity of the extra examination question of testting.For example; Set in the interface and can list all topic types; Just show seven topic types such as " see photo is done answer ", " listening a question sentence to do answers ", " listening brief dialogue to do answers " and " listening a brief monologue to do answers ", " traditional reading test topic ", " the complete topic of filling a vacancy " and " simple sentence fill a vacancy topic "; The topic type that accuracy is lower or error rate is higher " simple sentence fill a vacancy topic " is preset as to be selected and tests, and can't cancel selection, so; Education resource provides module 160 performed learning programs just can read to belong to the examination question of the topic type that accuracy is lower or error rate is higher " simple sentence fill a vacancy topic ", tests so as to the user is provided.And if the user also through setting module 190 the setting interface in multiple-choice question type " the complete topic of filling a vacancy "; Then education resource provides the performed learning program of module 160 also can be by reading the examination question of topic type for " the complete topic of filling a vacancy " in the storage module 110, and provides the user to test.In addition, education resource provides the performed learning program of module 160 also can provide the user in setting the interface, to set by setting module 190 by the quantity of the examination question of reading in the storage module 110.
In sum; But the difference between knowledge capital invention and the prior art is to have the accuracy or the error rate of the topic type that accuracy or error rate according to each examination question in the test result count each examination question; And according to the technological means of statistical result showed radar map and execution and the corresponding learning program of topic type that accuracy is lower or error rate is higher; Can solve by this technological means that prior art is existing can't effectively to be obtained to learn the problem of weakness by the small-scale exam pool, and then reach the technological effect of correctly judging the study weakness with fewer examination question.
Moreover; Method according to topic type analysis study weakness of the present invention; Can be implemented in the combination of hardware, software or hardware and software, the dispersing mode of also can be in computer system realizing or intersperse among with different elements the computer system of several interconnected with centralized system is realized.
Though the disclosed embodiment of the present invention is as above, be described content be not in order to direct qualification scope of patent protection of the present invention.Have common knowledge the knowledgeable in the technical field under any the present invention, under the prerequisite that does not break away from disclosed spirit of the present invention and scope, in form reaching of enforcement of the present invention done a little change retouching on the details, all belong to scope of patent protection of the present invention.Scope of patent protection of the present invention, still must with appended claim scope the person of being defined be as the criterion.
Claims (10)
1. a foundation is inscribed the method that type analysis is learnt weakness, it is characterized in that this method comprises the following step at least:
A plurality of examination questions are provided, the corresponding topic type of this examination question;
According to all previous test result statistics respectively this examination question accuracy or error rate and produce and accuracy or the corresponding statistics result of error rate that respectively should the topic type;
Produce corresponding accuracy or a radar map of error rate that respectively should the topic type according to this statistics;
According to this statistics correct judgment rate lower or error rate is higher at least one should the topic type;
Show this radar map; And
Those topic types lower according to accuracy or that error rate is higher provide corresponding education resource.
2. the method according to topic type analysis study weakness as claimed in claim 1; It is characterized in that; This method in this according to this statistics correct judgment rate lower or error rate is higher at least one should the step of topic type after, more comprise the step of the information that shows lower or those topic types that error rate is higher of accuracy.
3. the method according to topic type analysis study weakness as claimed in claim 1; It is characterized in that all previous test result of this foundation statistics respectively step of accuracy or the error rate of this examination question more comprises according to the test date selection statistics step of the test result of accuracy or the error rate of this examination question respectively.
4. the method according to topic type analysis study weakness as claimed in claim 1; It is characterized in that; It is the test that lower or those topic types that error rate is higher of test accuracy are provided that those topic types that this is lower according to accuracy or error rate is higher provide the step of corresponding education resource, or shows the learning materials of lower or those topic types that error rate is higher of accuracy.
5. a foundation is inscribed the system that type analysis is learnt weakness, it is characterized in that this system comprises at least:
One storage module is in order to store a plurality of examination questions, the corresponding topic type of this examination question;
One statistics module, in order to according to all previous test result statistics respectively this examination question accuracy or error rate and produce and accuracy or the corresponding statistics result of error rate that respectively should the topic type;
One radar map generation module is in order to produce corresponding accuracy or a radar map of error rate that respectively should the topic type according to this statistics;
One topic type judge module, in order to lower according to this statistics correct judgment rate or error rate is higher at least one should the topic type;
One display module is in order to show this radar map; And
One education resource provides module, in order to those topic types lower according to accuracy or that error rate is higher corresponding education resource is provided.
6. the system according to topic type analysis study weakness as claimed in claim 5 is characterized in that, this display module is more in order to show the information of lower or those topic types that error rate is higher of accuracy.
7. the system according to topic type analysis study weakness as claimed in claim 5 is characterized in that, this statistical module is more in order to according to test date selection the statistics respectively accuracy of this examination question or the test result of error rate.
8. the system according to topic type analysis study weakness as claimed in claim 5 is characterized in that described this education resource of this system is the test of those topic types that accuracy is lower or error rate is higher.
9. the system according to topic type analysis study weakness as claimed in claim 8 is characterized in that this system more comprises a setting module, in order to the examination question quantity that setting respectively should the topic type to be provided.
10. the system according to topic type analysis study weakness as claimed in claim 5 is characterized in that described this education resource of this system is the learning materials of those topic types that accuracy is lower or error rate is higher.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104021509A (en) * | 2014-06-16 | 2014-09-03 | 兴天通讯技术（天津）有限公司 | Method and system for generating learning portfolios |
| CN104408985A (en) * | 2014-12-17 | 2015-03-11 | 李莎 | Cloud-network-based answering learning method and system |
| CN104809671A (en) * | 2014-01-29 | 2015-07-29 | 莘翔四海(北京)科技有限公司 | Test result processing method and device |
| CN107731037A (en) * | 2017-11-15 | 2018-02-23 | 黑龙江工业学院 | A kind of Chinese literature teaching accessory system |
| CN109817040A (en) * | 2019-01-07 | 2019-05-28 | 北京汉博信息技术有限公司 | A kind of processing system for teaching data |
| CN110364044A (en) * | 2019-07-29 | 2019-10-22 | 上海乂学教育科技有限公司 | Online teaching intelligence VR system |
| TWI732204B (en) * | 2019-04-03 | 2021-07-01 | 康軒文教事業股份有限公司 | Server device, answering system, and management system for learning and learning testing |
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2010
- 2010-09-08 CN CN2010102784208A patent/CN102402873A/en active Pending
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104809671A (en) * | 2014-01-29 | 2015-07-29 | 莘翔四海(北京)科技有限公司 | Test result processing method and device |
| CN104021509A (en) * | 2014-06-16 | 2014-09-03 | 兴天通讯技术（天津）有限公司 | Method and system for generating learning portfolios |
| CN104408985A (en) * | 2014-12-17 | 2015-03-11 | 李莎 | Cloud-network-based answering learning method and system |
| CN107731037A (en) * | 2017-11-15 | 2018-02-23 | 黑龙江工业学院 | A kind of Chinese literature teaching accessory system |
| CN109817040A (en) * | 2019-01-07 | 2019-05-28 | 北京汉博信息技术有限公司 | A kind of processing system for teaching data |
| TWI732204B (en) * | 2019-04-03 | 2021-07-01 | 康軒文教事業股份有限公司 | Server device, answering system, and management system for learning and learning testing |
| CN110364044A (en) * | 2019-07-29 | 2019-10-22 | 上海乂学教育科技有限公司 | Online teaching intelligence VR system |
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Application publication date: 20120404 |