CN101901555A - Learning ability detecting system and method thereof - Google Patents
Learning ability detecting system and method thereof Download PDFInfo
- Publication number
- CN101901555A CN101901555A CN2010102407137A CN201010240713A CN101901555A CN 101901555 A CN101901555 A CN 101901555A CN 2010102407137 A CN2010102407137 A CN 2010102407137A CN 201010240713 A CN201010240713 A CN 201010240713A CN 101901555 A CN101901555 A CN 101901555A
- Authority
- CN
- China
- Prior art keywords
- school
- student
- analysis
- learning ability
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a learning ability detecting system and a method thereof. The learning ability detecting system performs access execution by a host computer, performs data output by the peripheral equipment of the computer, performs remote connection with internet and comprises a school service database module, a testing module, a score processing and ability analyzing module and an online inquiring module. The method for detecting learning ability comprises the following three steps of: a. establishing a test item; b. processing scores; and c. diagnosing learning ability and test question quality. By using learning ability detecting system and the method thereof, the learning condition, aptitude development and enrolment prediction of a student can be known, the teaching effectiveness of a teacher is evaluated and the test question quality is improved.
Description
Technical field
The present invention relates to a kind ofly do the basis with test, the study situation, property that can detect the student to development with enter a higher school prediction, and the system of teaching effect that can the amount of commenting teacher and the examination question quality of improving test, and the concrete grammar that detects of this system, particularly a kind of learning ability detecting system and method thereof.
Background technology
Rapid progress along with technique of internet, education software or system use with combining of network and also begin to prevail, develop and many virtual education platforms by software and the construction of particular network server institute, allow the teacher be undertaken that teaching material is compiled or the paper proposition, to reach online teaching or in the purpose of line test by this kind teaching platform.
Can carry out teaching platform that paper proposition tests for the student just like TaiWan, China patent announcement I234098 number " managing test paper system and method thereof " for the teacher at present, this system is connected on an input block and the output unit, system architecture then comprises a paper database, one newly-increased module, one enquiry module and a removing module, can borrow the input block input instruction of keyboard one class for the teacher, to make each module increase paper respectively newly, every processing capacity of inquiry paper and deletion paper, so paper information can be built in the paper database, can significantly reduce paper consumption and paper and store outside the shared space, only need when testting, choose the required enough paper umbers of paper printing and get final product;
Yet, because this managing test paper system only can edit the examination question of paper for the teacher, and the design of topic type is teacher oneself planning, whether examination question can reflect student's learning ability and learning effect really, just be dependent on teacher's the experience with students and the skill of setting a question, so in case the design of examination question topic type is not good, perhaps the examination question degree of depth is too shallow too difficult, just can't detect student's study situation by paper, teacher's performance of the test can't react under student's study situation really so, the teaching method of just having no way of understanding self needs to adjust, and still student's learning ability has to be strengthenedly, also can't teach teaching or extend the feedbacks of further imparting knowledge to students such as teaching the student;
Moreover, this class only can be edited the management system of paper examination question, owing to lack content is answered in student's choosing of each examination question, answer questions answer situations such as probability and do overall confluence analysis, so often after a test, can't detect the design quality of each topic type of paper and the complexity of each examination question by student's answer situation, just can't promote and detect student's learning ability and learning effect solidity really by improving the shortcoming of paper on setting a question thus, also incapability is assessed the topic type by the real learning effect of reaction student, the quality of examination question and difficulty or ease, be just constantly to produce vicious cycle with the quality that the student learns situation and examination question, teacher's teaching of but having no way of handling improves.
In addition, and also have some can add up the teaching platform of student performance at present, supply the situation of the study of teacher or student oneself analysis and understanding in the mode of listing related data, for example TaiWan, China patent announcement M332233 number " a kind of framework of following the trail of achievement advance and retreat step situation ", this framework is to store several performance of the test with a computing machine by the network system and the webserver, and by the achievement that unifies the each examination of preface student of having the records of distance by the log, and with the examination result progress of examination or the situation of room for manoeuvre;
Policy for education now emphasizes that property at the student is to doing the speciality development, wish the student can fit just now be admitted to property to the identical pipeline of entering a higher school of development, fraction after so the teacher more needs to pass a test, the PR value, on average, standard deviation, the five various analysis of statistical data students' of mark study is to so that teach students in accordance with their aptitude, yet, this kind framework student advancing on mark and ranking that only can sort out monotonously, the room for manoeuvre situation, energy conduct study or the property statistics to pointer but is not provided, make the teacher can't by this kind framework understand the student in each section's purpose study situation and comprehensive property to development, and adjust the content of courses and do the planning of entering a higher school for the student, the teacher can only utilize other software package as EXCEL one class to publish some achievements voluntarily again, write and to obtain the grand of aforementioned relevant statistics and analyze, this certainly will expend a large amount of time of teacher and energy, even become and have no time to prepare lessons, thus, badly influence Teaching Quality again.
From the above mentioned as can be known, proposition of the present paper that combines with network and learning effect tracing system exist such as following shortcoming, and in addition improved necessity is arranged in fact:
1. can not detect the quality of paper topic type design and the difficulty or ease of exercise question, be helpless to improve the examination question quality.
2. lack detailed statistical study and learn situation, property to the development and the prediction of entering a higher school to detect the student.
3. lack the reference that allows the teacher assess the teaching effect, can't do the teaching feedback in good time.
Summary of the invention
Technical problem underlying to be solved by this invention is, overcome the above-mentioned defective that prior art exists, and provide a kind of learning ability detecting system and method thereof, by this learning ability detecting system and method thereof, can analyze examination question difficulty, the examination question degree of discrimination, student/class/school really at each section, each unit percent of pass, allow the student understand the study condition of oneself, and the prediction of entering a higher school future, the teacher also can be with this reference direction as the teaching feedback.
The framework of learning ability detecting system of the present invention comprises:
One school affaris' database module is to put the data that school side and student are correlated with a master data window for building, and the data field position is to comprise school, class, class group, subject, teachers and students' register, the total points of entering a school, the total points of entering a higher school, as the database of other system under the framework;
One test module, be for input every section purpose examination question and answer with a model answer and partition window, this test module be with at random or the user choose examination question by the exam pool of outside from ordering mode, or teacher assigns a topic voluntarily, select examination question type and partition weight, and the data that cooperates this school affaris' database module drafts a test paper, produces a model answer with this test paper again;
One achievement is handled and the capability analysis module, handle window for operation with an achievement, be to go over examination papers according to each section's purpose model answer to calculate score of each subject, test total points and the statistics corresponding with learning ability, comprise fraction, the PR value, on average, standard deviation, five marks, the group distance, and cooperate the data of this school affaris' database module to produce school report and statistical graph, the field of this school report is to comprise score of each subject, the test total points, in the class, reach in the school and stride the school rank, each answer deck watch of section, each section's answer status list, each section's five mark control reference table, student's data, teacher's stamped signature lattice, these statistical graphs are to comprise total in the school fraction statistical graph, each section's fraction statistical graph in the school, each section's raw score class interval statistical graph in the school, each section's answer analytical table in the school, single item analysis chart, self-study diagnostic analysis chart;
One online query module, enter a higher school prediction window for operation with one, be that statistics is integrated into comparison chart, understand the difficulty or ease quality of student's learning ability, the aspiration drop point of entering a higher school and examination question with comparison chart, these comparison charts are to comprise that achievement distribution plan, achievement sum total distribution plan, multiple-choice question are selected with non-multiple-choice question achievement distribution plan, SP analysis chart, students ' analysis figure, the prognostic chart of entering a higher school, item analysis figure, the curve map of answering, option to answer rate figure, item analysis figure.
Aforesaid learning ability detecting system, wherein the data field position of school affaris' database module comprises school, class, class group, subject, teachers and students' register, the total points of entering a school, the total points of entering a higher school; This test module be with at random or the user choose examination question from ordering mode, and can select examination question type and partition weight; The statistics of this examination result and capability analysis module is to comprise fraction, PR value, average, standard deviation, five marks, group distance.
Aforesaid learning ability detecting system, wherein school report is to be object with each student, and the field of this school report is to comprise in score of each subject, test total points, the class, reach in the school and stride school rank, each answer deck watch of section, each section's answer status list, each section's five mark control reference table, student's data, teacher's stamped signature lattice.
Aforesaid learning ability detecting system, wherein these statistical graphs comprise in the school total fraction statistical graph, each section's fraction statistical graph, each section's raw score class interval statistical graph, each section's answer analytical table, single item analysis chart, self-study diagnostic analysis chart in the school in the school in the school.
Aforesaid learning ability detecting system, wherein these comparison charts comprise that achievement distribution plan, achievement sum total distribution plan, multiple-choice question are selected with non-multiple-choice question achievement distribution plan, SP analysis chart, students ' analysis figure, the prognostic chart of entering a higher school, item analysis figure, the curve map of answering, option and answer rate figure, item analysis figure.
Aforesaid learning ability detecting system, wherein test module can be built according to each subject of student's class group or class group or each section purpose unit and put test paper, also can make increase, revise and delete the examination question and the answer of this exam pool.
Aforesaid learning ability detecting system comprises further that wherein one cooperates the various report printing window of other module, can be with the data of each module under the system by printer output.
Aforesaid learning ability detecting system, wherein further comprise a make-up examination module, handle window for operation with a make-up examination, be to filter out the unfavorable student of test result, and after make-up examination, cooperate achievement processing and capability analysis module and online query module statistics make-up examination section purpose learning ability to be detected with the analysis student according to statistics.
And Applied Learning of the present invention can force detection system to detect the method for learning ability, its step is to comprise:
A. set up a test item: draft test paper and corresponding model answer with this test module;
B. achievement processing: import the student data that participates in this test item by this school affaris' database module, and, correct and put in order out statistics with the Card Reader data that this achievement is handled and capability analysis module remittance student takes an entrance examination;
C. learning ability and examination question quality diagnosis: by school report and the statistical graph that this achievement is handled and the capability analysis module is produced, and the comparison chart that provided of this online query module, the study situation, property of understanding the student to development with enter a higher school prediction, and the amount of commenting teacher's teaching effect with improve the examination question quality of testting.
And in learning ability and examination question quality diagnosis step, be to include following analysis in statistical graph and the comparison chart:
A. option analysis: each subject carries out each option one by one and lures and answer the rate analysis;
B. answer analysis: each subject carries out height one by one and hives off and low difficulty, the degree of discrimination analysis of hiving off and just answering rate;
C.R1～R6 is just answering the rate analysis: R1～R6 that each subject carries out whole school and each class is one by one just answering the rate analysis;
The d.S-P table analysis: each subject carries out the student-problem list analysis, and calculates and note it being number CS and CP;
E. the study diagnosis and analysis of student/class/in the school: each section's unit situation of answering of student/class/is in the school carried out the percent of pass analysis;
F. enter a school and enter a higher school analysis: related datas such as entrance, school-based examinations, examination for entering school are carried out alternate analysis, find out remarkable student, achievement progress student, and relatively PR distributes, analyze overall teaching effect;
G. the prediction of entering a higher school: enter a higher school total points PR value and admission school according to all previous graduation elder sisters schoolmate, compare with student at school's total points PR value, predict student's situation of entering a higher school.
This shows, by this learning ability detecting system and method thereof, can analyze examination question difficulty, the examination question degree of discrimination, student/class/school really at each section, each unit percent of pass, allow the student understand the study condition of oneself, and the prediction of entering a higher school in future, the teacher also can be with this reference direction as the teaching feedback.
Description of drawings
The present invention is further described below in conjunction with drawings and Examples.
Fig. 1 is the system architecture diagram of learning ability detecting system of the present invention.
Fig. 2 is the window figure of each module of learning ability detecting system.
Fig. 3 is the process flow diagram of the method for detection learning ability of the present invention.
Fig. 4 is the synoptic diagram that contains the school report of each unit answer situation of each subject of student.
Fig. 5 is the synoptic diagram of total in the school fraction statistical graph.
Fig. 6 is each section's fraction statistical graph and five target synoptic diagram in the school.
Fig. 7 is the synoptic diagram of each section's raw score class interval statistical graph in the school.
Fig. 8 is the synoptic diagram of each section's answer analytical table in the school.
Fig. 9 is the synoptic diagram of single item analysis chart.
Figure 10 and Figure 11 are the synoptic diagram of self-study diagnostic analysis chart.
Figure 12 is the synoptic diagram of achievement distribution plan and SP analysis chart.
Figure 13 is the synoptic diagram of achievement sum total distribution plan, multiple-choice question and non-multiple-choice question achievement distribution plan.
Figure 14 is that the synoptic diagram of rate figure is answered in curve map, the option choosing of answering.
Figure 15 is the synoptic diagram of item analysis figure, students ' analysis figure.
Figure 16 is the synoptic diagram of prognostic chart item analysis figure of entering a higher school.
Embodiment
The present invention relates to a kind of learning ability detecting system and method thereof, see also Fig. 1 and shown in Figure 2, this learning ability detecting system is to do access by a host computer to carry out, and does data output and do the remote connection operation with the Internet by computer peripheral equipment, and system architecture is to comprise:
One school affaris' database module is to put the data that school side and student are correlated with a master data window for building, and the data field position is to comprise school, class, class group, subject, teachers and students' register, the total points of entering a school, the total points of entering a higher school, as the database of other system under the framework;
One test module, be for input every section purpose examination question and answer with a model answer and partition window, this test module be with at random or the user choose examination question by the exam pool of outside from ordering mode, or teacher assigns a topic voluntarily, select examination question type and partition weight, and the data that cooperates this school affaris' database module drafts a test paper, produces a model answer with this test paper again;
One achievement is handled and the capability analysis module, handle window for operation with an achievement, be to go over examination papers according to each section's purpose model answer to calculate score of each subject, test total points and the statistics corresponding with learning ability, comprise fraction, PR value (mark shared status in a certain group, arrange in regular turn by a certain attribute in the group and be divided under 100 grade situations, what percentile ranks a certain individual mark can surpass), on average, standard deviation, five mark (top marks, preceding mark, all mark, the back mark, end mark), the group distance, and cooperate the data of this school affaris' database module to produce school report and statistical graph;
One online query module is entered a higher school prediction window for operation with one, is that statistics is integrated into comparison chart, understands the difficulty or ease quality of student's learning ability, the aspiration drop point of entering a higher school and examination question with comparison chart;
One make-up examination module, handle window for operation with a make-up examination, be to filter out the unfavorable student of test result, and after make-up examination, cooperate achievement processing and capability analysis module and online query module statistics make-up examination section purpose learning ability to be detected with the analysis student according to statistics;
And a various report printing window that cooperates other module, can with each module under the system such as school report, various statistical graph and various comparison chart by printer output;
Continuous please the cooperation with reference to Fig. 3 to shown in Figure 16, about the method for Applied Learning energy force detection system of the present invention with the detection learning ability, present embodiment is that the appointment section of the examining test of simulation one senior middle school is illustrative example, earlier affiliated subject, Faculty and Students' register, student's entrance total points and the student's that graduates the data of always grading of entering a higher school under class's number of keying in school side with school affaris' database module of this learning ability detecting system and class's name, all kinds of groups the group, all kinds of groups;
Then just can utilize learning ability detecting system to reach the target of institute of the present invention desire improvement by following steps:
A. set up a test item: set up the test subject of all kinds of groups of common test subjects, inhomogeneity group, the thematic unit in the subject, the topic type of each section and the examination question partition in topic number, topic type limit branch and each topic type in regular turn with this test module, and corresponding model answer;
B. achievement processing: import the student data that participates in this test item by this school affaris' database module, and, correct and put in order out statistics with the Card Reader data that this achievement is handled and capability analysis module remittance student takes an entrance examination;
C. learning ability and examination question quality diagnosis: statistics is made up and analyzes school report and the statistical graph that is produced by this achievement processing and capability analysis module, and the comparison chart that provided of this online query module, can in order to the study situation of understanding the student, property to development with enter a higher school prediction, and the amount of commenting teacher's teaching effect with improve the examination question quality of testting;
In learning ability and examination question quality diagnosis step, wherein this school report partly is as Fig. 4, with each student is object, and field is to comprise in score of each subject, test total points, the class, reach in the school and stride school rank, each answer deck watch of section, each section's answer status list, each section's five mark control reference table, student's data, teacher's stamped signature lattice;
In the statistical graph part, relevant with examination result in the school is in regular turn just like total in the school fraction statistical graph of Fig. 5 to Fig. 7, each section's fraction statistical graph, each section's raw score class interval statistical graph in the school in the school, relevant with diagnosis examination question quality in regular turn just like Fig. 8 and Fig. 9 each section's answer analytical table, single item analysis chart in the school, relevant with student's learning ability and learning effect in regular turn just like Figure 10 and Figure 11, with at each section's thematic unit or whole self-study diagnostic analysis charts of comparing of subject and all in the school rate of just answering;
The comparison chart part, relevant with learning effect with student's learning ability is just like the students ' analysis figure among achievement sum total distribution plan, multiple-choice question and non-multiple-choice question achievement distribution plan and Figure 15 of the achievement distribution plan of Figure 12 and SP analysis chart, Figure 13, relevant with diagnosis examination question quality is answers the item analysis figure among rate figure and Figure 15 just like answer curve map (rate of just answering with each student of mark colony performs an analysis), option choosing of Figure 14, with the student enter a higher school prediction relevant be the prognostic chart item analysis figure that enters a higher school (section of PR value 60 is to predict the drop point that may enter a higher school) just like Figure 16;
And in school report, statistical graph and comparison chart, be that following analysis has been done in the combination that is applied to every statistics:
A. option analysis: each subject carries out each option one by one and lures and answer the rate analysis;
B. answer analysis: each subject carries out height one by one and hives off and low difficulty, the degree of discrimination analysis of hiving off and just answering rate;
C.R1～R6 is just answering the rate analysis: R1～R6 that each subject carries out whole school and each class is one by one just answering the rate analysis;
The d.S-P table analysis: each subject carries out the student-problem list analysis, and calculates and note it being number CS and CP;
E. the study diagnosis and analysis of student/class/in the school: each section's unit situation of answering of student/class/is in the school carried out the percent of pass analysis;
F. enter a school and enter a higher school analysis: related datas such as entrance, school-based examinations, examination for entering school are carried out alternate analysis, find out remarkable student, achievement progress student, and relatively PR distributes, analyze overall teaching effect;
G. the prediction of entering a higher school: enter a higher school total points PR value and admission school according to all previous graduation elder sisters schoolmate, compare with student at school's total points PR value, predict student's situation of entering a higher school.
By learning ability detecting system and detection method, can analyze the examination question difficulty, the examination question degree of discrimination, student/class/school is in each section, each unit percent of pass, student/teacher then can each do online inquiry by the Internet since long-range user's computing machine, with understand oneself/in the class student's the study condition and the prediction of entering a higher school future, the teacher also can increase with this examination question to the exam pool of test module, revise or delete, to promote the quality of examination question, make each test can both be more certain reaction student's learning ability, learning effect and property be to development, with now as the reference direction of teaching feedback.
In addition, when the achievement treatment step, this make-up examination module is to filter out the unfavorable student of test result according to statistics, the teacher just can teach or remedial teaching these students, and arrange these students to take make-up exam once more, and this make-up examination module is to cooperate achievement processing and capability analysis module and online query module statistics with analyzing the student make-up examination section purpose learning ability to be detected after make-up examination, and student/teacher is just understood study situation and the learning effect after guidance or the remedial teaching.
Claims (10)
1. a learning ability detecting system is characterized in that, is to do access by a host computer to carry out, and does data output and do the remote connection operation with the Internet by computer peripheral equipment that system architecture comprises:
One school affaris' database module is put the data that school side and student are correlated with a master data window for building, as the database of other system under the framework;
One test module, be for input every section purpose examination question and answer with a model answer and partition window, can choose examination question or teacher assigns a topic voluntarily and cooperate the data of this school affaris' database module to draft a test paper by the exam pool of outside, produce a model answer with this test paper again;
One achievement is handled and the capability analysis module, handle window for operation with an achievement, be to go over examination papers according to each section's purpose model answer to calculate score of each subject, test total points and the statistics corresponding, and cooperate the data of this school affaris' database module to produce school report and statistical graph with learning ability;
One online query module is entered a higher school prediction window for operation with one, is that statistics is integrated into comparison chart, understands the difficulty or ease quality of student's learning ability, the aspiration drop point of entering a higher school and examination question with comparison chart.
2. learning ability detecting system according to claim 1 is characterized in that, the data field position of described school affaris database module comprises school, class, class group, subject, teachers and students' register, the total points of entering a school, the total points of entering a higher school; This test module be with at random or the user choose examination question from ordering mode, and can select examination question type and partition weight; The statistics of this examination result and capability analysis module is to comprise fraction, PR value, average, standard deviation, five marks, group distance.
3. learning ability detecting system according to claim 1, it is characterized in that, described school report is to be object with each student, and the field of this school report is to comprise in score of each subject, test total points, the class, reach in the school and stride school rank, each answer deck watch of section, each section's answer status list, each section's five mark control reference table, student's data, teacher's stamped signature lattice.
4. learning ability detecting system according to claim 1, it is characterized in that described these statistical graphs comprise in the school total fraction statistical graph, each section's fraction statistical graph, each section's raw score class interval statistical graph, each section's answer analytical table, single item analysis chart, self-study diagnostic analysis chart in the school in the school in the school.
5. learning ability detecting system according to claim 1, it is characterized in that described these comparison charts comprise that achievement distribution plan, achievement sum total distribution plan, multiple-choice question are selected with non-multiple-choice question achievement distribution plan, SP analysis chart, students ' analysis figure, the prognostic chart of entering a higher school, item analysis figure, the curve map of answering, option and answer rate figure, item analysis figure.
6. learning ability detecting system according to claim 1, it is characterized in that, described test module can be built according to each subject of student's class group or class group or each section purpose unit and put test paper, also can make increase, revise and delete the examination question and the answer of this exam pool.
7. learning ability detecting system according to claim 1 is characterized in that, comprises that further one cooperates the various report printing window of other module, can be with the data of each module under the system by printer output.
8. learning ability detecting system according to claim 1, it is characterized in that, further comprise a make-up examination module, handle window for operation with a make-up examination, be to filter out the unfavorable student of test result, and after make-up examination, cooperate achievement processing and capability analysis module and online query module statistics make-up examination section purpose learning ability to be detected with the analysis student according to statistics.
9. use learning ability detecting system as claimed in claim 1 to detect the method for learning ability for one kind, it is characterized in that, analyze examination question difficulty, the examination question degree of discrimination, student/class/school whereby at each section, each unit percent of pass, allow the student understand the study condition of oneself, and the prediction of entering a higher school in future, the teacher also can be with this reference direction as the teaching feedback, and its step is to comprise:
A. set up a test item: draft test paper and corresponding model answer with this test module;
B. achievement processing: import the student data that participates in this test item by this school affaris' database module, and, correct and put in order out statistics with the Card Reader data that this achievement is handled and capability analysis module remittance student takes an entrance examination;
C. learning ability and examination question quality diagnosis: by school report and the statistical graph that this achievement is handled and the capability analysis module is produced, and the comparison chart that provided of this online query module, the study situation, property of understanding the student to development with enter a higher school prediction, and the amount of commenting teacher's teaching effect with improve the examination question quality of testting.
10. the method for detection learning ability according to claim 9 is characterized in that, in learning ability and examination question quality diagnosis step, includes following analysis in statistical graph and the comparison chart:
A. option analysis: each subject carries out each option one by one and lures and answer the rate analysis;
B. answer analysis: each subject carries out height one by one and hives off and low difficulty, the degree of discrimination analysis of hiving off and just answering rate;
C.R1～R6 is just answering the rate analysis: R1～R6 that each subject carries out whole school and each class is one by one just answering the rate analysis;
The d.S-P table analysis: each subject carries out the student-problem list analysis, and calculates and note it being number CS and CP;
E. the study diagnosis and analysis of student/class/in the school: each section's unit situation of answering of student/class/is in the school carried out the percent of pass analysis;
F. enter a school and enter a higher school analysis: related datas such as entrance, school-based examinations, examination for entering school are carried out alternate analysis, find out remarkable student, achievement progress student, and relatively PR distributes, analyze overall teaching effect;
G. the prediction of entering a higher school: enter a higher school total points PR value and admission school according to all previous graduation elder sisters schoolmate, compare with student at school's total points PR value, predict student's situation of entering a higher school.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010102407137A CN101901555A (en) | 2010-07-30 | 2010-07-30 | Learning ability detecting system and method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010102407137A CN101901555A (en) | 2010-07-30 | 2010-07-30 | Learning ability detecting system and method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN101901555A true CN101901555A (en) | 2010-12-01 |
Family
ID=43227056
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2010102407137A Pending CN101901555A (en) | 2010-07-30 | 2010-07-30 | Learning ability detecting system and method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101901555A (en) |
Cited By (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102411670A (en) * | 2011-08-04 | 2012-04-11 | 深圳市海云天教育测评有限公司 | Imaging method and system of detection indices of marking quality of markers |
| CN102411671A (en) * | 2011-08-04 | 2012-04-11 | 深圳市海云天教育测评有限公司 | Imaging system and method of detection indices of test paper quality |
| CN102508856A (en) * | 2011-09-28 | 2012-06-20 | 广东启明科技发展有限公司 | Data statistics and analysis platform system |
| CN103593704A (en) * | 2012-08-14 | 2014-02-19 | 鼎盛教育科技有限公司 | An after-diagnose teaching integration assessment method |
| CN104157175A (en) * | 2014-08-27 | 2014-11-19 | 湖南堂堂清教育科技有限公司 | Teaching effect immediate feedback evaluation system |
| CN104182920A (en) * | 2014-08-26 | 2014-12-03 | 天脉聚源（北京）教育科技有限公司 | Test method, test initiating end, tested end and test system |
| CN104620299A (en) * | 2012-04-27 | 2015-05-13 | 哈佛学院院长等 | Cross-classroom and cross-institution item validation |
| CN105139313A (en) * | 2015-08-20 | 2015-12-09 | 南京势行软件开发有限公司 | Students' performance data analysis system and analysis method for the students' performance data analysis system |
| CN105549923A (en) * | 2015-12-15 | 2016-05-04 | 湖南强智科技发展有限公司 | Network self-service printing method and system of school report |
| CN105894407A (en) * | 2014-10-24 | 2016-08-24 | 丁洁 | Method for evaluating learning ability development trend of students |
| CN106021312A (en) * | 2016-05-05 | 2016-10-12 | 北京爱提分博乐教育科技有限公司 | Test question sorting method for online teaching plan |
| CN106448308A (en) * | 2016-10-13 | 2017-02-22 | 佛山市炫鲸科技有限公司 | Experiment safety examination method and system |
| CN107038497A (en) * | 2017-03-31 | 2017-08-11 | 珠海知未科技有限公司 | A kind of student performance forecasting system and method |
| CN107886255A (en) * | 2017-12-05 | 2018-04-06 | 北京粉笔蓝天科技有限公司 | A kind of marks sequencing method and system |
| CN108038235A (en) * | 2017-12-27 | 2018-05-15 | 北京洪泰同创信息技术有限公司 | A kind of policy matching process and device |
| CN108959191A (en) * | 2018-06-20 | 2018-12-07 | 刘建成 | Mathematics Discipline attainment ability integration analysis system |
| CN108985988A (en) * | 2018-07-16 | 2018-12-11 | 安徽国通亿创科技股份有限公司 | One kind being based on online teaching school work growing algorithm |
| CN109272789A (en) * | 2018-10-31 | 2019-01-25 | 安徽网网络科技有限公司 | Learning effect assessment system and appraisal procedure based on data analysis |
| CN110070232A (en) * | 2019-04-28 | 2019-07-30 | 东北大学 | The method for introducing the various dimensions prediction student performance of teachers ' teaching style |
| CN110362658A (en) * | 2019-07-15 | 2019-10-22 | 义乌工商职业技术学院 | The computer learning machine tutorship system in knowledge based library |
| CN111507872A (en) * | 2020-04-09 | 2020-08-07 | 圆梦共享教育科技(深圳)有限公司 | Artificial intelligence-based accurate test difficulty classification method |
| CN112614030A (en) * | 2020-12-25 | 2021-04-06 | 贵州树精英教育科技有限责任公司 | Learning ability level diagnosis system |
| CN112749881A (en) * | 2020-12-25 | 2021-05-04 | 科大讯飞股份有限公司 | Method and device for comparing academic levels among schools and electronic equipment |
| CN112966921A (en) * | 2021-03-01 | 2021-06-15 | 上海近屿智能科技有限公司 | Innovation ability evaluation method based on programming ability evaluation |
| TWI781851B (en) * | 2021-12-14 | 2022-10-21 | 建國科技大學 | online learning assistance system |
-
2010
- 2010-07-30 CN CN2010102407137A patent/CN101901555A/en active Pending
Cited By (28)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102411671A (en) * | 2011-08-04 | 2012-04-11 | 深圳市海云天教育测评有限公司 | Imaging system and method of detection indices of test paper quality |
| CN102411670A (en) * | 2011-08-04 | 2012-04-11 | 深圳市海云天教育测评有限公司 | Imaging method and system of detection indices of marking quality of markers |
| CN102508856A (en) * | 2011-09-28 | 2012-06-20 | 广东启明科技发展有限公司 | Data statistics and analysis platform system |
| CN104620299A (en) * | 2012-04-27 | 2015-05-13 | 哈佛学院院长等 | Cross-classroom and cross-institution item validation |
| CN103593704A (en) * | 2012-08-14 | 2014-02-19 | 鼎盛教育科技有限公司 | An after-diagnose teaching integration assessment method |
| CN104182920A (en) * | 2014-08-26 | 2014-12-03 | 天脉聚源（北京）教育科技有限公司 | Test method, test initiating end, tested end and test system |
| CN104157175A (en) * | 2014-08-27 | 2014-11-19 | 湖南堂堂清教育科技有限公司 | Teaching effect immediate feedback evaluation system |
| CN105894407A (en) * | 2014-10-24 | 2016-08-24 | 丁洁 | Method for evaluating learning ability development trend of students |
| CN105139313A (en) * | 2015-08-20 | 2015-12-09 | 南京势行软件开发有限公司 | Students' performance data analysis system and analysis method for the students' performance data analysis system |
| CN105549923A (en) * | 2015-12-15 | 2016-05-04 | 湖南强智科技发展有限公司 | Network self-service printing method and system of school report |
| CN105549923B (en) * | 2015-12-15 | 2018-05-22 | 湖南强智科技发展有限公司 | School report network self-help print method and system |
| CN106021312A (en) * | 2016-05-05 | 2016-10-12 | 北京爱提分博乐教育科技有限公司 | Test question sorting method for online teaching plan |
| CN106448308A (en) * | 2016-10-13 | 2017-02-22 | 佛山市炫鲸科技有限公司 | Experiment safety examination method and system |
| CN107038497A (en) * | 2017-03-31 | 2017-08-11 | 珠海知未科技有限公司 | A kind of student performance forecasting system and method |
| CN107886255A (en) * | 2017-12-05 | 2018-04-06 | 北京粉笔蓝天科技有限公司 | A kind of marks sequencing method and system |
| CN108038235A (en) * | 2017-12-27 | 2018-05-15 | 北京洪泰同创信息技术有限公司 | A kind of policy matching process and device |
| CN108959191A (en) * | 2018-06-20 | 2018-12-07 | 刘建成 | Mathematics Discipline attainment ability integration analysis system |
| CN108985988A (en) * | 2018-07-16 | 2018-12-11 | 安徽国通亿创科技股份有限公司 | One kind being based on online teaching school work growing algorithm |
| CN109272789A (en) * | 2018-10-31 | 2019-01-25 | 安徽网网络科技有限公司 | Learning effect assessment system and appraisal procedure based on data analysis |
| CN110070232A (en) * | 2019-04-28 | 2019-07-30 | 东北大学 | The method for introducing the various dimensions prediction student performance of teachers ' teaching style |
| CN110362658A (en) * | 2019-07-15 | 2019-10-22 | 义乌工商职业技术学院 | The computer learning machine tutorship system in knowledge based library |
| CN111507872A (en) * | 2020-04-09 | 2020-08-07 | 圆梦共享教育科技(深圳)有限公司 | Artificial intelligence-based accurate test difficulty classification method |
| CN111507872B (en) * | 2020-04-09 | 2023-04-07 | 圆梦共享教育科技(深圳)有限公司 | Artificial intelligence-based accurate test difficulty classification method |
| CN112614030A (en) * | 2020-12-25 | 2021-04-06 | 贵州树精英教育科技有限责任公司 | Learning ability level diagnosis system |
| CN112749881A (en) * | 2020-12-25 | 2021-05-04 | 科大讯飞股份有限公司 | Method and device for comparing academic levels among schools and electronic equipment |
| CN112749881B (en) * | 2020-12-25 | 2023-10-27 | 科大讯飞股份有限公司 | School level comparison method and device between schools and electronic equipment |
| CN112966921A (en) * | 2021-03-01 | 2021-06-15 | 上海近屿智能科技有限公司 | Innovation ability evaluation method based on programming ability evaluation |
| TWI781851B (en) * | 2021-12-14 | 2022-10-21 | 建國科技大學 | online learning assistance system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101901555A (en) | Learning ability detecting system and method thereof | |
| Alonso-Fernández et al. | Applications of data science to game learning analytics data: A systematic literature review | |
| Ramesh et al. | Learning latent engagement patterns of students in online courses | |
| Gottfried | The influence of applied STEM coursetaking on advanced mathematics and science coursetaking | |
| Leinbach et al. | Using Longitudinal Data to Increase Community College Student Success: A Guide to Measuring Milestone and Momentum Point Attainment. CCRC Research Tools No. 2. | |
| Yang et al. | Toward precision education | |
| Mandinach et al. | Building educators’ data literacy: Differing perspectives | |
| Kai et al. | Predicting Student Retention from Behavior in an Online Orientation Course. | |
| Dowell et al. | Predictive validity of the personal qualities assessment for selection of medical students in Scotland | |
| Misiejuk et al. | State of the field report on learning analytics | |
| Bolger | The selection of experts for (probabilistic) expert knowledge elicitation | |
| Semsar et al. | Phys-MAPS: a programmatic physiology assessment for introductory and advanced undergraduates | |
| Brenner et al. | Modeling student learning behavior patterns in an online science inquiry environment | |
| Liu | Data Analysis of Educational Evaluation Using K‐Means Clustering Method | |
| Moreno-Marcos et al. | Re-defining, analyzing and predicting persistence using student events in online learning | |
| Butz et al. | Entering Research Learning Assessment (ERLA): Validity evidence for an instrument to measure undergraduate and graduate research trainee development | |
| CN106875770A (en) | A kind of juvenile student innovation ability tests evaluation device | |
| Liu et al. | Mining big data to help make informed decisions for designing effective digital educational games | |
| Šorgo et al. | Biology Content and Classroom Experience as Predictors of Career Aspirations. | |
| Ma | Study on the evaluation method of students' English classroom performance based on big data analysis | |
| Gruzd et al. | Learning analytics dashboard for teaching with Twitter | |
| Zhao et al. | Pre-service student teachers’ metacognition in an online learning community: An epistemic network analysis | |
| Arlitt et al. | Feature engineering for design thinking assessment | |
| Khine | Approaches and strategies in next generation science learning | |
| Van Maele et al. | Teacher trust in students and the organizational school context: The role of student culture and teachability perceptions |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| REG | Reference to a national code |
Ref country code: HK Ref legal event code: DE Ref document number: 1146142 Country of ref document: HK |
|
| C12 | Rejection of a patent application after its publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20101201 |
|
| REG | Reference to a national code |
Ref country code: HK Ref legal event code: WD Ref document number: 1146142 Country of ref document: HK |