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 PDF

Info

Publication number
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
Authority
CN
China
Prior art keywords
student
ability
assessment
personalized
topic
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
Application number
CN201711339865.0A
Other languages
Chinese (zh)
Inventor
宿玲玲
马亮
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hcr Beijing Co Ltd
Original Assignee
Hcr Beijing Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Hcr Beijing Co Ltd filed Critical Hcr Beijing Co Ltd
Priority to CN201711339865.0A priority Critical patent/CN108053117A/en
Publication of CN108053117A publication Critical patent/CN108053117A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/20Education
    • G06Q50/205Education administration or guidance

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Educational Administration (AREA)
  • Economics (AREA)
  • Tourism & Hospitality (AREA)
  • General Physics & Mathematics (AREA)
  • Educational Technology (AREA)
  • Marketing (AREA)
  • Theoretical Computer Science (AREA)
  • Development Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Game Theory and Decision Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

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

A kind of student's subject grasps the personalized appraisal procedure of ability
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:
CN201711339865.0A 2017-12-14 2017-12-14 A kind of student's subject grasps the personalized appraisal procedure of ability Pending CN108053117A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711339865.0A CN108053117A (en) 2017-12-14 2017-12-14 A kind of student's subject grasps the personalized appraisal procedure of ability

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711339865.0A CN108053117A (en) 2017-12-14 2017-12-14 A kind of student's subject grasps the personalized appraisal procedure of ability

Publications (1)

Publication Number Publication Date
CN108053117A true CN108053117A (en) 2018-05-18

Family

ID=62132925

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711339865.0A Pending CN108053117A (en) 2017-12-14 2017-12-14 A kind of student's subject grasps the personalized appraisal procedure of ability

Country Status (1)

Country Link
CN (1) CN108053117A (en)

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
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
CN110322739A (en) * 2019-07-11 2019-10-11 成都终身成长科技有限公司 A kind of word learning method, device, electronic equipment and readable storage medium storing program for executing
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
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
CN111784147A (en) * 2020-06-26 2020-10-16 青岛大学 Learning effect evaluation and promotion method based on potential mining
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
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

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101477755A (en) * 2009-01-06 2009-07-08 陈诗周 Error problem database system for student
CN104299473A (en) * 2013-07-20 2015-01-21 郑州学生宝电子科技有限公司 Teaching and student learning error question knowledge base
CN107248019A (en) * 2017-04-13 2017-10-13 杭州博世数据网络有限公司 A kind of cloud teaching platform online teaching evaluation system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101477755A (en) * 2009-01-06 2009-07-08 陈诗周 Error problem database system for student
CN104299473A (en) * 2013-07-20 2015-01-21 郑州学生宝电子科技有限公司 Teaching and student learning error question knowledge base
CN107248019A (en) * 2017-04-13 2017-10-13 杭州博世数据网络有限公司 A kind of cloud teaching platform online teaching evaluation system

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN109657990B (en) * 2018-12-19 2023-09-01 中国科学技术大学 Method for evaluating student programming ability through program mark
WO2020147432A1 (en) * 2019-01-18 2020-07-23 深圳壹账通智能科技有限公司 Code detection method and apparatus, computer device, and storage medium
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
CN110322739A (en) * 2019-07-11 2019-10-11 成都终身成长科技有限公司 A kind of word learning method, device, electronic equipment and readable storage medium storing program for executing
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

Similar Documents

Publication Publication Date Title
CN108053117A (en) A kind of student's subject grasps the personalized appraisal procedure of ability
Ludlow et al. Learning to teach for social justice-beliefs scale: An application of Rasch measurement principles
Becker et al. Is early ability grouping good for high-achieving students’ psychosocial development? Effects of the transition into academically selective schools.
Impara et al. Teachers' ability to estimate item difficulty: A test of the assumptions in the Angoff standard setting method
Retelsdorf et al. Reading development in a tracked school system: A longitudinal study over 3 years using propensity score matching
Splett et al. Student, teacher, and classroom predictors of between-teacher variance of students’ teacher-rated behavior.
CN106599999A (en) Evaluation method and system for using small amount of questions to accurately detect segmented weak knowledge points of student
Kocak et al. Computing Cronbach alpha reliability coefficient for fuzzy survey data
Yang Meta-analysis research and theory building
Bristow et al. A control systems concept inventory test design and assessment
Filinov et al. The ranking of higher education institutions in Russia: some methodological problems
Marfu’i The analysis of critical thinking skills test in social-problems for physics education students with Rasch Model
Ahmad et al. An improved course assessment measurement for analyzing learning outcomes performance using Rasch model
Fowell et al. Estimating the minimum number of judges required for test-centred standard setting on written assessments. do discussion and iteration have an influence?
Tomoliyus et al. Development of validity and reliability of net game performance-based assessment on elementary students’ achievement in physical education
Sahin et al. An Analysis of Peer Assessment through Many Facet Rasch Model.
Mubarok et al. The performance assessment of undergraduate students in physics laboratory by using guided inquiry
Malloy An investigator of scholastic over-and under-achievement among female college freshmen.
Bolsinova et al. Using expert knowledge for test linking.
CN106960400A (en) Enroll the appraisal procedure of probability, recommend the method and device of college entrance examination universities and colleges
Santoso et al. Internship recommendation system using simple additive weighting
Purnamasari et al. Application rasch model using R program in analyze the characteristics of chemical items
Parmaningsih et al. Rasch analysis on item response theory: Review of model suitability
Jumini et al. Estimating item parameters and student abilities: An IRT 2PL analysis of mathematics examination
Nopiah et al. Evaluation of Pre-assessment Method on Improving Students Performance in Complex Analysis Course

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20180518