CN108053117A - A kind of student's subject grasps the personalized appraisal procedure of ability - Google Patents
A kind of student's subject grasps the personalized appraisal procedure of ability Download PDFInfo
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- CN108053117A CN108053117A CN201711339865.0A CN201711339865A CN108053117A CN 108053117 A CN108053117 A CN 108053117A CN 201711339865 A CN201711339865 A CN 201711339865A CN 108053117 A CN108053117 A CN 108053117A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q50/10—Services
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Abstract
The invention discloses the personalized appraisal procedures that a kind of student's subject grasps ability, mainly using the middle school student of study standardization subject system as research object, the personalized assessment that ability is grasped to student's subject is exactly specifically that the assessment of ability is grasped to student's subject knowledge point.The step of this method：Establish student information data storehouse；According to the answer achievement calculation question purpose degree-of-difficulty factor of student；Single evaluation result of the student for examination is calculated according to topic information and this student performance；Historical Results and history topic information based on student calculate the personalized assessment result that student's cumulative knowledge point grasps ability；Student performance distribution and the relative degrees of student are calculated according to student's Historical Results, and then calculates student and grasps ability personalization assessment result compared with the knowledge point of ad eundem student.The method of the present invention has preferable generalization and adaptability, and it is objective, reliable, comprehensive that recognition effect has the characteristics that.
Description
Technical field
The present invention relates to IT application in education sector fields, are specifically the personalized appraisal procedure that a kind of student's subject grasps ability.
Background technology
Education is the basis of human social development, and all the time, distinct issues are the processes in teaching the most in education
The learning characteristic of middle neglect studies person and the difference of students' learning ability.With the continuous development of information technology, in big data and
Under the background of " internet+", individualized teaching is increasingly becoming reality.
Individualized teaching is by Modernized Informatization Management, based on each learner, is learnt according to learner's individual
The difference of feature and learning ability provides the education resource that disclosure satisfy that needed for learner for it.In individualized teaching, primarily
Task be that comprehensive and accurate personalized assessment is provided learner, secondly could provide ability value therewith and spy on this basis
The teaching resource and teaching method that point matches.The present invention is applied to the first step of individualized teaching, it is intended to be provided for learner
Accurate comprehensive personalized assessment, so as to provide accurately individualized teaching to learner.
Due to the architecture feature of the content of courses, the assessment of acquisition of knowledge ability is usually as the personalized assessment of learner
Point of penetration, is then specifically the assessment that ability is grasped to knowledge point, and the assessment that ability is grasped in knowledge point is to know to learner
Know the assessment that point carries out content grasp ability for unit.
The assessment of common acquisition of knowledge ability, there are mainly two types of modes.
Method 1：Test scale.The common pattern of the method is design test scale, is commented in a manner of testing questionnaire
Estimate.Topic in test scale has carried out the markup information of knowledge point and each knowledge point weight, using student to test scale
Answer result carries out the assessment result that statistical analysis obtains grasping knowledge point ability.The characteristics of this method, is carried to learner
Learner is needed to be tested to obtain assessment result, the assessment result of this method exclusively with test scale before for service
Selected topic information and anticipatory knowledge point weight markup information are strongly dependent upon, and analysis result is fairly static and section
, it can only reflect the information of learner at that time.This mode usually will not commenting with time dynamic in personality hobby etc.
In appraisal there is greater significance, have little significance for dynamic learning process.
Method 2：Cognitive diagnosis model based on data.The method is the combination of cognitive psychology and psychometrics, base
Correlation and statistical assessment are carried out in dynamic student performance, carrying out student ability according to student's history answer achievement is worth pre-
Estimate, mainly consider the practical capacity of student and remaining ability, have more realistic meaning compared with method 1.But this cognitive model leads to
It often simply considers including the simple factors such as item difficulty, topic correlation, there is no the attributes and feature of associative learning person
(such as Forgetting coefficient, the residing study grade of learner etc.) carries out depth assessment.The method of the present invention is then in traditional cognitive diagnosis
Examination question and a variety of attributes and feature (student's Forgetting coefficient, study stage residing for student, the student performance point of student are combined on model
Cloth) progress various dimensions are continuously assessed, so that assessment result is more comprehensively, accuracy rate higher.
The content of the invention
The deficiency for grasping the personalized appraisal procedure of ability it is an object of the invention to be directed to existing knowledge, it is more to provide one kind
The continuous student's subject of dimension grasps the personalized appraisal procedure of ability.
To achieve the above object, the present invention provides following technical solution：
A kind of student's subject grasps the personalized appraisal procedure of ability, comprises the following steps：
1) student information data storehouse is established.Including designing and building student information table, Students' Score List, student assesses table,
Topic information table；
2) calculation question purpose difficulty.It calculates student to be distributed the score of topic, considers that topic is calculated in topic types
Degree-of-difficulty factor；
3) according to the total marks of the examination of single student, the grasp ability of calculating student knowledge point in examination；
4) according to all history test achievements, comprehensive topic topic type, item difficulty coefficient, property of taking an examination, answer number, something lost
Forget the factors such as coefficient, the current Grasping level of student, student's study stage, accumulation assessment result is calculated；
5) according to student's history test achievement, student performance distribution is calculated；
6) assessment result is distributed and accumulated according to the above-mentioned student performance being calculated, and classified estimation is carried out to student, into
And obtain the relative assessment result of the relatively a certain group of student；
As further embodiment of the present invention：Calculation question purpose degree-of-difficulty factor uses different meters to different type topic
Calculation method.
For objective item, multiple-choice question and True-False are referred mainly to, for calculation formula such as shown in (1), wherein n represents option number,
M be student's number, x ' expression students ' actual situation scores, x represent topic total score.
For subjective item, then only need to consider the ratio of actual score and total score, calculation formula is as follows：
As further embodiment of the present invention：Calculate the personalized assessment result Main Basiss that ability is grasped in single knowledge point
The achievement of student's single examination, is calculated all investigation knowledge points of examination, for knowledge fork point, is averaged using iteration
Obtain the assessment that ability is grasped in knowledge point.Single evaluation result is calculated by the achievement of examination.
As further embodiment of the present invention, calculate cumulative knowledge point and grasp ability personalization assessment result, add up assessment
Calculating mainly consider theme attribute (topic types, item difficulty coefficient, topic source etc.), student attribute feature (student
Answer number, the current Grasping level of student, Forgetting coefficient, study stage belonging to student) etc. factors.
Compared with conventional method, the method have the characteristics that introducing Forgetting coefficient in the assessment of student.The assessment of the present invention
With reference to Chinese mugwort this great forgetting curve (as shown in Figure 1) of guest, the Forgetting coefficient of each student is excavated from student's Historical Results, will be lost
Forget coefficient feedback to act in the calculating that student knowledge point grasps the personalized assessment of ability, obtain more accurate student individuality
Grasp capability evaluation result in knowledge point.
Compared with conventional method, the method have the characteristics that in the assessment of student consider student residing for learn the stage to student into
The different assessment of row.As for current secondary school education, the junior one junior two and Gao Yigao are second is that the mistake that the continuous studying new knowledge of student is known
Journey, this process belong to progressive learning process.And the junior three and high by three, student are more in the process constantly reviewed repeatedly, are belonged to
In the process of iterative study.Different learning process appraisal procedure is different, such as incremental learning process, in assessment factor
It can aggravate the weighing factor of examination rank；For iterative learning process, examination level weights influence without it is very high, it is necessary to according to
Ordered pair is taken an examination in the recent period during examination assigns larger impact weight.
As further embodiment of the present invention, calculate relative assessment as a result, due between student there is opposite competition, especially
For middle college entrance examination, the competition between student is opposite, i.e., the striving direction of each student is more than his institute in a small range
Belong to the student of grade.Grade residing for student can be obtained by considering the distribution of student's Historical Results, and to rate range residing for student
Interior capability evaluation more can instruction of papil.
Compared with prior art, the beneficial effects of the invention are as follows：
This method is based on student information data storehouse, being distributed between comprehensive student's unique characteristics attribute, theme attribute and student
Feature calculation obtains including the personalized assessment that ability is grasped in student's single knowledge point, and student's cumulative knowledge point grasps of ability
Propertyization is assessed and the student knowledge point of relatively a certain group grasps the personalized assessment result of ability.Compared with the conventional method, originally
The Behavioral feature that invention learns to considering people in students ability personalization assessment models, introduces forgetting function, and examines
Consider the difference in study stage residing for student, model is divided into incremental learning assessment and iterative learning evaluation so that model
Obtained assessment result is more accurate.In the single deficiency of Traditional measurements model evaluation, present invention introduces student's Relative distribution,
Obtain the personalized assessment result of relatively a certain Community students.The assessment result of the present invention more accurately and more comprehensively, and has
Versatility and actual application value.
Present invention employs multiple angle comprehensive assessment student abilities, the single evaluation including being directed to single total marks of the examination,
Accumulation assessment and relative assessment, single evaluation are used to assess the learning effect of recent student, and accumulation assessment reduces recent ripple
It is dynamic to influence, students ' actual situation ability is excavated from Historical Results, relative assessment is to consider student on the basis of accumulation is assessed
Achievement distribution, so as to obtain the assessment result to student in different brackets, therefore can be from multi-angle more fully to student
It grasps ability personalization and is assessed in knowledge point；The present invention introduces the Forgetting coefficient of student in assessment models so that assessment
As a result it is more accurate；The present invention also considers the learning characteristic in student's difference study stage simultaneously, assessment models is divided into gradual
Learning evaluation and iterative learning evaluation have more robustness in the adaptability of model.The present invention considers than traditional method
Factor more comprehensively, therefore accuracy rate higher is versatile, has extremely strong use value.
Description of the drawings
Fig. 1 is assessment reference Chinese mugwort this great forgetting curve of guest of the present invention；
Fig. 2 is the personalized evaluation process figure that student's subject grasps ability；
Fig. 3 is the achievement distribution of group all students in the subject where calculating StudentA；
Fig. 4 is the method for the present invention and conventional method Average Accuracy.
Specific embodiment
Below in conjunction with the embodiment of the present invention, the technical solution in the embodiment of the present invention is clearly and completely described,
Obviously, described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.Based in the present invention
Embodiment, those of ordinary skill in the art's all other embodiments obtained without making creative work, all
Belong to the scope of protection of the invention.
The present invention completes on computers, to inquire about the personalized assessment result that the subject of StudentA grasps ability
Exemplified by, contain have the following steps successively：
Step 1 reads all historical informations that StudentA investigates topic from student information data storehouse, difficult to topic
Degree coefficient field is detected, and if it is empty then using above-mentioned formula (1) (2) carries out that item difficulty coefficient is calculated.
Step 2 calculates the grasp ability of student knowledge point in examination according to certain total marks of the examination of StudentA.
Specific calculating process：1) achievement of this examination of StudentA is always read from student information data storehouse, this examination is related to topic
Information and attribute；2) statistics obtains the investigated knowledge point of this time examination；3) small topic is accounted for always according to each small topic achievements of StudentA
Into than percentage, fusion investigates the topic of identical knowledge point, and the single knowledge point for obtaining StudentA on examination is slapped
Hold the personalized assessment result of ability.
Step 3 calculates the Forgetting coefficient of the student as the parameter in step 4 according to the Historical Results of StudentA.
Step 4 is according to the Historical Results of all examinations of StudentA, by judging that difference is respectively adopted in the stage residing for student
Computational methods：If StudentA is high one high two student, i.e., in the incremental learning stage, Main Basiss are assessed at this time and are currently examined
Achievement is tried, topic association attributes and student's attributive character calculated, wherein examination type weight can be big, i.e. priori under model
Information is daily quiz topic quality not as good as end-of-term examination is high and student treats degree also difference is very big, therefore quiz is to assessment result
Caused by influence it is small；If StudentA is high school senior, i.e., in the iterative study stage, assessment result not only relies at this time
It is also very big with the results relevance assessed before in current test topic association attributes and student's attributive character, and this time zone
Not in incremental learning, each total marks of the examination should all have equal or little difference weight in iterative study, because
The Grasping level of knowledge point can be fixed relatively for student at this time, influenced to become smaller by topic information.By above-mentioned mistake
The personalized assessment result that StudentA grasps ability in the subject is calculated in journey.
(such as class, school, area etc., design parameter is according to practical application by old for group where step 5 calculates StudentA
Teacher determines) the achievement distribution of all students in the subject, as shown in Figure 3：
Step 6 is distributed according to the student performance obtained in step 5, and the student of group where selecting StudentA calculates group
The average and variance that internal student grasps each knowledge point, so as to obtain StudentA residing degree in this group.
In order to verify the validity of the method for the present invention and versatility, correlation test has been carried out.
This experiment is using a certain senior middle school student examination achievement of continuous 3 years as experimental subjects, model two He high to high one respectively
High three carry out the personalized assessment that student subject grasps ability, using the test time as transverse axis, the achievement to take an examination next time every time
As the inspection to last assessment result, Average Accuracy is obtained by formula (3), wherein m is examination number, and n is student
Number,For assessment results of the student j after ith, yi+1,jFor assessment results of the student j in i+1 time examination.
Shown in the method for the present invention and conventional method Average Accuracy Fig. 4, wherein dotted line is to have method, and solid line is the present invention
Method.It can be seen from the figure that since the method for the present invention is considered including topic topic type, item difficulty coefficient, property of taking an examination is answered
It inscribes the factors such as number, Forgetting coefficient, the current Grasping level of student and compares and have method accuracy rate height；Since the method for the present invention is to learning
The raw study stage has carried out model differentiation, it can be seen that existing method is bad to the adaptability for learning the stage residing for student, high by three
When assessment result significantly lower than high one high by two, and our rule all has good adaptation to each study stage residing for student
Property；In addition the present invention is for middle college entrance examination pattern at present, it is contemplated that the opposite competitive relation between student introduces student performance point
Cloth has carried out relative assessment to student in a certain group, this provides short-term student important direction, has weight
The realistic meaning wanted.
Claims (5)
1. a kind of student's subject grasps the personalized appraisal procedure of ability, which is characterized in that comprises the following steps：
1) student information data storehouse is established；Including designing and building student information table, Students' Score List, student assesses table, topic
Information table；
2) calculation question purpose difficulty；It calculates student to be distributed the score of topic, considers that the difficulty of topic is calculated in topic types
Coefficient；
3) according to the total marks of the examination of single student, the grasp ability of calculating student knowledge point in examination；
4) according to all history test achievements, comprehensive topic topic type, item difficulty coefficient, property of taking an examination, answer number, forgetting system
The factors such as number, the current Grasping level of student, student's study stage, are calculated accumulation assessment result；
5) according to student's history test achievement, student performance distribution is calculated；
6) assessment result is distributed and accumulated according to the above-mentioned student performance being calculated, and classified estimation is carried out to student, and then is obtained
To the relative assessment result of the relatively a certain group of student.
2. student's subject according to claim 1 grasps the personalized appraisal procedure of ability, which is characterized in that student's
Forgetting coefficient is introduced in assessment；Assessment reference Chinese mugwort this great forgetting curve of guest of the present invention, is excavated from student's Historical Results
The Forgetting coefficient of each student, in the calculating that Forgetting coefficient feedback effect is grasped the personalized assessment of ability in student knowledge point,
Obtain the personalized grasp capability evaluation result of more accurate student's subject.
3. student's subject according to claim 1 grasps the personalized appraisal procedure of ability, which is characterized in that student's
Consider that the study stage carries out student different assessments residing for student in assessment；For current secondary school education, the junior one junior two and
Gao Yigao is second is that the process that the continuous studying new knowledge of student is known, this process belong to progressive learning process.And the junior three and high by three, student
It is more the process for belonging to iterative study in the process constantly reviewed repeatedly.Different learning process appraisal procedures is different.
4. student's subject according to claim 1 grasps the personalized appraisal procedure of ability, which is characterized in that considers student
Opposite competitive relation, the residing grade of student and the ability ranking in residing grade are more important, therefore going through according to student
History achievement, the achievement distribution that student is calculated and grade residing for student, are assessed further according to the accumulation being calculated in step 4)
As a result relative assessment result is obtained.
5. student's subject according to claim 1 grasps the personalized appraisal procedure of ability, which is characterized in that calculates topic
Degree-of-difficulty factor, to different type topic use different computational methods；For objective item, multiple-choice question and True-False are referred mainly to,
Calculation formula is such as shown in (1), and wherein n represents option number, and m is student's number, x ' expression students ' actual situation scores, and x represents topic
Total score；
For subjective item, then only need to consider the ratio of actual score and total score, calculation formula is as follows：
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Cited By (12)
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| CN108920578A (en) * | 2018-06-25 | 2018-11-30 | 中国人民大学 | A kind of user interest and ability method for digging towards Online Judge platform |
| CN109325130A (en) * | 2018-08-02 | 2019-02-12 | 华中师范大学 | A kind of timing cognitive diagnosis method and device |
| CN109492896A (en) * | 2018-11-02 | 2019-03-19 | 福建书香伟业教育科技有限公司 | The method and computer equipment of selection competition student when a kind of interschool match |
| CN109614410A (en) * | 2018-11-15 | 2019-04-12 | 福建大道之行教育科技有限公司 | A kind of composition of trained personnel analysis method and system based on big data modeling |
| CN109657990A (en) * | 2018-12-19 | 2019-04-19 | 中国科学技术大学 | The method for assessing student's program capability by programming indicia |
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| CN108920578A (en) * | 2018-06-25 | 2018-11-30 | 中国人民大学 | A kind of user interest and ability method for digging towards Online Judge platform |
| CN109325130A (en) * | 2018-08-02 | 2019-02-12 | 华中师范大学 | A kind of timing cognitive diagnosis method and device |
| CN109492896A (en) * | 2018-11-02 | 2019-03-19 | 福建书香伟业教育科技有限公司 | The method and computer equipment of selection competition student when a kind of interschool match |
| CN109614410A (en) * | 2018-11-15 | 2019-04-12 | 福建大道之行教育科技有限公司 | A kind of composition of trained personnel analysis method and system based on big data modeling |
| CN109657990A (en) * | 2018-12-19 | 2019-04-19 | 中国科学技术大学 | The method for assessing student's program capability by programming indicia |
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| CN109857657A (en) * | 2019-01-18 | 2019-06-07 | 深圳壹账通智能科技有限公司 | Code detection method, device, computer equipment and storage medium |
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| CN111143437A (en) * | 2019-12-28 | 2020-05-12 | 镇江新一代信息技术产业研究院有限公司 | Score recording system for teaching management |
| CN113053187A (en) * | 2019-12-29 | 2021-06-29 | 中国科学技术信息研究所 | Data judgment and analysis system based on computer algorithm type |
| CN111444391A (en) * | 2020-04-09 | 2020-07-24 | 圆梦共享教育科技(深圳)有限公司 | Video learning effect evaluation method based on artificial intelligence |
| CN111444391B (en) * | 2020-04-09 | 2023-08-11 | 圆梦共享教育科技(深圳)有限公司 | Video learning achievement evaluation method based on artificial intelligence |
| CN111862707A (en) * | 2020-06-19 | 2020-10-30 | 北京国音红杉树教育科技有限公司 | Method and equipment for evaluating user memory level in language translation learning |
| CN111784147A (en) * | 2020-06-26 | 2020-10-16 | 青岛大学 | Learning effect evaluation and promotion method based on potential mining |
| CN111784147B (en) * | 2020-06-26 | 2023-01-10 | 青岛大学 | Learning effect evaluation and promotion method based on potential mining |
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Application publication date: 20180518 |