CN108960650A - A kind of student's learning evaluation method based on artificial intelligence - Google Patents
A kind of student's learning evaluation method based on artificial intelligence Download PDFInfo
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- CN108960650A CN108960650A CN201810759229.1A CN201810759229A CN108960650A CN 108960650 A CN108960650 A CN 108960650A CN 201810759229 A CN201810759229 A CN 201810759229A CN 108960650 A CN108960650 A CN 108960650A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
Abstract
Student's learning evaluation method based on artificial intelligence that the present invention relates to a kind of, the system that method uses include acquisition module, identification module, analysis module, and teaching evaluation method is the following steps are included: acquisition module acquires the case where student answers under current examination question；The standard that acquisition module acquires the corresponding all answer methods of current examination question is answered；The step of the step of identification module is answered according to identification student and standard are answered；The step of the step of analysis module is answered according to student and standard are answered carry out student answer answer with corresponding standard it is corresponding；Analysis module carries out assignment to each step that student answers；Each step that analysis module is answered according to student carries out the calculating of the order of accuarcy for the step of standard corresponding with the step is answered；Analysis module speculates student in the level of learning of the knowledge-ID according to the assignment of each step and the order of accuarcy of the step.
Description
Technical field
The present invention relates to artificial intelligence field more particularly to a kind of student's learning evaluation methods based on artificial intelligence.
Background technique
Currently, computer application penetrates into each in people's lives and work in today of internet fast development
Field, these applications can be used for solving the problems, such as between individual subscriber service, user some part in business or management process, also
It can be used for solving the problems, such as through business or the management trail of management activity between user and user, such as logistics, cash flow.
But the business of every field had not only connected each other but also interdependence, so, in each field between computer application software
Function and data should not be it is isolated, should be related with the business relations between each field, for example, each application software is formed
Upstream-downstream relationship is to needing shared data, for another example, to some aspects of application be extended can and other application
Common management data etc..Especially in teaching field, the shared of teaching data can make quality of instruction be greatly improved.
In the prior art, Internet education is often all lumped together, and can not be directed to the different situation of each student
It is targetedly imparted knowledge to students, also can not targetedly be imparted knowledge to students according to the study depth of each knowledge point.
Summary of the invention
Goal of the invention:
It often all lumps together, can not be targetedly taught for the different situation of each student for Internet education
It learns, the problem of also can not targetedly be imparted knowledge to students according to the study depth of each knowledge point, the present invention provides a kind of based on people
Student's learning evaluation method of work intelligence.
Technical solution:
A kind of student's learning evaluation method based on artificial intelligence, the system that the method uses include acquisition module, identification mould
Block, analysis module, the standard that the acquisition module is used to acquire examination question are answered and student answers, the identification module be used for into
The row student answers to be compareed with what the standard was answered, the analysis module for gradually analyze the student answer it is correct
Property, the evaluation module is used to carry out the assessment that student learns situation according to the correctness；
The teaching evaluation method the following steps are included:
S01: the acquisition module acquires the case where student answers under current examination question；
S02: the standard that the acquisition module acquires the corresponding all answer methods of current examination question is answered；
S03: the step of the step of identification module is answered according to the identification student and the standard are answered；
S04: the step of the step of analysis module is answered according to the student and the standard are answered carries out student's work
Answer answer with corresponding standard it is corresponding；
S05: the analysis module carries out assignment to each step that the student answers；
S06: each step that the analysis module is answered according to the student carries out the step that standard corresponding with the step is answered
The calculating of rapid order of accuarcy；
S07: the analysis module speculates student in the examination question according to the assignment of each step and the order of accuarcy of the step
The level of learning of knowledge point.
As a kind of preferred embodiment of the invention, for the step S04 and S05, the analysis module is gradually analyzed
The student knowledge point in step of answering uses, and carries out step assignment according to the difficulty of the corresponding knowledge point of each step.
As a kind of preferred embodiment of the invention, the step S04 the following steps are included:
S14: the analysis module judges whether the step uses knowledge point for each step；
S24: the analysis module carries out target to using the step of knowledge point；
S34: the analysis module carries out paragraph division according to target.
As a kind of preferred embodiment of the invention, the step S05 the following steps are included:
S45: the analysis module carries out assignment for each paragraph；
S55: the analysis module is implemented paragraph assignment into the paragraph in corresponding step.
As a kind of preferred embodiment of the invention, for step S06, the analysis module answers the standard with same
The step of be divided into paragraph, and the paragraph that student answers is compareed with the paragraph that standard is answered, the analysis module according to
The step of corresponding paragraph carry out student answer step accuracy calculating.
As a kind of preferred embodiment of the invention, the step S06 the following steps are included:
S16: the analysis module analyze the student answer in each step standard corresponding with the step answer in paragraph
Corresponding relationship；
S26: the analysis module according to the student answer in paragraph of each step in the standard is answered comparison it is true
Recognize comparison step；
S36: the analysis module calculates the similarity of each step according to the comparison step；
S46: the analysis module deduces the accuracy of the step according to similarity.
As a kind of preferred embodiment of the invention, when analysis module judges current procedures accuracy lower than 100%, analysis
Module stops the analysis to following steps.
As a kind of preferred embodiment of the invention, for the step S07, the analysis module calculates current procedures in institute
The standard of stating is answered position accounting of the step in standard is answered of middle correspondence.
As a kind of preferred embodiment of the invention, the analysis module judges that the study of student is deep according to the position accounting
Degree.
The present invention realize it is following the utility model has the advantages that
Correct degree of the student in answer step is calculated according to performance of the student in examination question, and is carried out according to calculating
Judgement and student judgement to the study depth of whole knowledge point thinking of the student for knowledge point level of learning, so that
Teacher can targetedly impart knowledge to students to student according to judging result, and efficiency of teaching is improved.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the disclosure
Example, and consistent with the instructions for explaining the principles of this disclosure.
Fig. 1 is block diagram of the present invention；
Fig. 2 is present system frame diagram.
Fig. 3 is step S04 and S05 block diagram；
Fig. 4 is step S06 block diagram.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.
Embodiment one:
It is Fig. 1-4 with reference to figure.A kind of student's learning evaluation method based on artificial intelligence, the system that the method uses include adopting
Collecting module 1, identification module 2, analysis module 3, the standard that the acquisition module 1 is used to acquire examination question is answered and student answers,
The identification module 2 is used to carry out the student to answer to compare with what the standard was answered, and the analysis module 3 is for gradually dividing
The correctness that the student answers is analysed, the evaluation module is used to carry out the assessment that student learns situation according to the correctness；
The teaching evaluation method the following steps are included:
S01: the acquisition module 1 acquires the case where student answers under current examination question；
S02: the standard that the acquisition module 1 acquires the corresponding all answer methods of current examination question is answered；
S03: the step of the step of identification module 2 is answered according to the identification student and the standard are answered；
S04: the step of the step of analysis module 3 is answered according to the student and the standard are answered carries out student's work
Answer answer with corresponding standard it is corresponding；
S05: the analysis module 3 carries out assignment to each step that the student answers；
S06: each step that the analysis module 3 is answered according to the student carries out the step that standard corresponding with the step is answered
The calculating of rapid order of accuarcy；
S07: the analysis module 3 speculates student in the examination question according to the assignment of each step and the order of accuarcy of the step
The level of learning of knowledge point.
As a kind of preferred embodiment of the invention, for the step S04 and S05, the analysis module 3 is gradually analyzed
The student knowledge point in step of answering uses, and carries out step assignment according to the difficulty of the corresponding knowledge point of each step.
As a kind of preferred embodiment of the invention, the step S04 the following steps are included:
S14: the analysis module 3 judges whether the step uses knowledge point for each step；
S24: 3 pairs of the analysis module carry out target using the step of knowledge point；
S34: the analysis module 3 carries out paragraph division according to target；
As a kind of preferred embodiment of the invention, the step S05 the following steps are included:
S45: the analysis module 3 carries out assignment for each paragraph；
S55: the analysis module 3 is implemented paragraph assignment into the paragraph in corresponding step.
As a kind of preferred embodiment of the invention, for step S06, the analysis module 3 answers the standard with same
The step of sample, is divided into paragraph, and the paragraph that student answers is compareed with the paragraph that standard is answered, the analysis module 3
According to the step of corresponding paragraph carry out student answer step accuracy calculating.
As a kind of preferred embodiment of the invention, the step S06 the following steps are included:
S16: the analysis module 3 analyze the student answer in each step standard corresponding with the step answer in paragraph
Corresponding relationship；
S26: the analysis module 3 according to the student answer in paragraph of each step in the standard is answered comparison it is true
Recognize comparison step；
S36: the analysis module 3 calculates the similarity of each step according to the comparison step；
S46: the analysis module 3 deduces the accuracy of the step according to similarity.
As a kind of preferred embodiment of the invention, when analysis module 3 judges current procedures accuracy lower than 100%, analysis
Module 3 stops the analysis to following steps.
As a kind of preferred embodiment of the invention, for the step S07, the analysis module 3 calculates current procedures and exists
The standard is answered position accounting of the step in standard is answered of middle correspondence.
As a kind of preferred embodiment of the invention, the analysis module 3 judges the study of student according to the position accounting
Depth.
In the specific implementation process, after student has answered and inscribed and be uploaded to network, identification module 2 is according to currently selected topic
The student that mesh acquires the topic answers, and the standard for acquiring the topic simultaneously is answered, and it is each that identification module 2 identifies that student answers
Row judges whether connected by mathematic sign at the beginning of every a line and ending, if so, by concatenated mathematic sign it is identical or by
Same concatenated every a line of mathematic sign answers and carries out subsequent judgement as a step；If it is not, then current row is answered individually
As a step.The step of analysis module 3 is answered according to student is answered with each standard and is compared, according to the form of answering into
For row with reference to the selection answered, the step form that the step form and standard that analysis module 3 is answered according to student are answered carries out step
Between corresponding relationship confirmation.It is noted that answering for student and the step of standard is answered, 3 basis of analysis module
The step form of each step judge the step use knowledge point, and according to the correspondence situation of knowledge point carry out student answer with
And standard is answered the confirmation of the correspondence situation of middle step.
Due to being not in each step there are knowledge point, analysis module 3 is behind the knowledge point that analytical procedure uses
Target is carried out to each knowledge point, single target is used for each knowledge point, the target situation between knowledge point is also different,
Analysis module 3 will be divided into the same paragraph the step of continuously indicating identical target, when there is certain step and not using knowledge point,
The step is divided in the paragraph of current target by analysis module 3.For knowledge point used by the step in each paragraph, adopt
Collection module 1 acquires evaluation of the teacher to knowledge point difficulty in systems, and according to the evaluation of knowledge point to using knowledge point
Paragraph carries out assignment, and the assignment of the knowledge point in paragraph is corresponding into the paragraph in all steps, analysis module 3 for
The assignment of paragraph is directly proportional to the difficulty evaluation of knowledge point that teacher uses step.It is noted that for same
Application of the knowledge point in different paragraphs, analysis module 3 judge the position of the knowledge point repeated in standard is answered, and
Different taxes is carried out to using the step of identical knowledge point according to using depth the step of knowledge point in standard is answered
Value.
Analysis module 3 select student answer answer with standard in corresponding paragraph, and the paragraph that corresponding student is answered
In the step of having target extract, and identic step is confirmed as in the paragraph that standard is answered according to the form of step
Compare step, analysis module 3 according to student answer in step and standard answer in comparison step content progress student's work
The deduction of step accuracy in answering, for example, for Taylor series, analysis module 3 by the form of Taylor series expansion and
Actual conditions in this topic are as judgment basis, when student answers the form of middle Taylor series expansion and standard is answered middle Taylor
The reality of middle Taylor series expansion that series expansion form and painting from life answers the actual conditions of middle Taylor series expansion and standard is answered
Situation any one it is consistent and it is other one it is inconsistent when, the accuracy that analysis module 3 judges that step middle school student answer is
50%；When completely the same, 3 accuracy of judgement degree of analysis module is 100%；When completely inconsistent, 3 accuracy of judgement degree of analysis module
It is 0%.When analysis module 3 deduces out the accuracy for the step being currently in treatment process lower than 100%, analysis module 3
Stop the analysis to following steps, and the level of learning of knowledge point speculated, thus it is speculated that method are as follows:
(knowledge point step assignment-minimum knowledge point step assignment × step accuracy)/knowledge point step assignment, wherein knowledge
Point step is assigned a value of assignment, the minimum knowledge point step of knowledge point in this step and is assigned a value of the step of first appearing the knowledge point
Assignment.
The corresponding standard of the step of analysis module 3 answers middle accuracy lower than 100% also directed to student answer in step exist
Standard answer in position the step of carrying out current accuracy lower than 100% position accounting calculating, calculate resulting accounting i.e.
Study depth as student's totality.
The above embodiments merely illustrate the technical concept and features of the present invention, and the purpose is to allow the skill for being familiar with the technical field
Art personnel can understand the content of the present invention and implement it accordingly, and can not be limited the scope of the invention with this.All bases
Equivalent changes or modifications made by spirit of the invention, should be covered by the protection scope of the present invention.
Claims (9)
1. a kind of student's learning evaluation method based on artificial intelligence, it is characterised in that: the system that the method uses includes adopting
Collect module, identification module, analysis module, the standard that the acquisition module is used to acquire examination question is answered and student answers, described
Identification module is used to carry out the student to answer to compare with what the standard was answered, and the analysis module is for described in gradually analysis
The correctness that student answers, the evaluation module are used to carry out the assessment that student learns situation according to the correctness；
The teaching evaluation method the following steps are included:
S01: the acquisition module acquires the case where student answers under current examination question；
S02: the standard that the acquisition module acquires the corresponding all answer methods of current examination question is answered；
S03: the step of the step of identification module is answered according to the identification student and the standard are answered；
S04: the step of the step of analysis module is answered according to the student and the standard are answered carries out student's work
Answer answer with corresponding standard it is corresponding；
S05: the analysis module carries out assignment to each step that the student answers；
S06: each step that the analysis module is answered according to the student carries out the step that standard corresponding with the step is answered
The calculating of rapid order of accuarcy；
S07: the analysis module speculates student in the examination question according to the assignment of each step and the order of accuarcy of the step
The level of learning of knowledge point.
2. a kind of student's learning evaluation method based on artificial intelligence according to claim 1, it is characterised in that: for institute
State step S04 and S05, the analysis module is gradually analyzed the knowledge point that the student answers in step and used, and according to each
The difficulty of the corresponding knowledge point of step carries out step assignment.
3. a kind of student's learning evaluation method based on artificial intelligence according to claim 2, it is characterised in that: the step
Rapid S04 the following steps are included:
S14: the analysis module judges whether the step uses knowledge point for each step；
S24: the analysis module carries out target to using the step of knowledge point；
S34: the analysis module carries out paragraph division according to target.
4. a kind of student's learning evaluation method based on artificial intelligence according to claim 3, it is characterised in that: the step
Rapid S05 the following steps are included:
S45: the analysis module carries out assignment for each paragraph；
S55: the analysis module is implemented paragraph assignment into the paragraph in corresponding step.
5. a kind of student's learning evaluation method based on artificial intelligence according to claim 4, it is characterised in that: for step
Rapid S06, the paragraph and mark that the standard is answered and be divided into paragraph with same step, and student is answered by the analysis module
The paragraph that standard is answered is compareed, and the analysis module is answered the accurate of step according to carrying out student the step of corresponding paragraph
The calculating of degree.
6. a kind of student's learning evaluation method based on artificial intelligence according to claim 5, it is characterised in that: the step
Rapid S06 the following steps are included:
S16: the analysis module analyze the student answer in each step standard corresponding with the step answer in paragraph
Corresponding relationship；
S26: the analysis module according to the student answer in paragraph of each step in the standard is answered comparison it is true
Recognize comparison step；
S36: the analysis module calculates the similarity of each step according to the comparison step；
S46: the analysis module deduces the accuracy of the step according to similarity.
7. a kind of student's learning evaluation method based on artificial intelligence according to claim 6, it is characterised in that: work as analysis
When module judges current procedures accuracy lower than 100%, analysis module stops the analysis to following steps.
8. a kind of student's learning evaluation method based on artificial intelligence according to claim 7, it is characterised in that: for institute
Step S07 is stated, the analysis module calculates position of the current procedures step corresponding in the standard is answered in standard is answered
Set accounting.
9. a kind of student's learning evaluation method based on artificial intelligence according to claim 8, it is characterised in that: described point
Analysis module judges the study depth of student according to the position accounting.
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| CN201810759229.1A CN108960650A (en) | 2018-07-11 | 2018-07-11 | A kind of student's learning evaluation method based on artificial intelligence |
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| CN201810759229.1A CN108960650A (en) | 2018-07-11 | 2018-07-11 | A kind of student's learning evaluation method based on artificial intelligence |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110570702A (en) * | 2019-08-02 | 2019-12-13 | 苏州承儒信息科技有限公司 | Intelligent teaching system based on bifurcation analysis and working method thereof |
| CN110706536A (en) * | 2019-10-25 | 2020-01-17 | 北京猿力未来科技有限公司 | Voice answering method and device |
| CN111932418A (en) * | 2020-09-09 | 2020-11-13 | 中山大学深圳研究院 | Student learning condition identification method and system, teaching terminal and storage medium |
-
2018
- 2018-07-11 CN CN201810759229.1A patent/CN108960650A/en not_active Withdrawn
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110570702A (en) * | 2019-08-02 | 2019-12-13 | 苏州承儒信息科技有限公司 | Intelligent teaching system based on bifurcation analysis and working method thereof |
| CN110706536A (en) * | 2019-10-25 | 2020-01-17 | 北京猿力未来科技有限公司 | Voice answering method and device |
| CN111932418A (en) * | 2020-09-09 | 2020-11-13 | 中山大学深圳研究院 | Student learning condition identification method and system, teaching terminal and storage medium |
| CN111932418B (en) * | 2020-09-09 | 2021-01-15 | 中山大学深圳研究院 | Student learning condition identification method and system, teaching terminal and storage medium |
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Application publication date: 20181207 |