CN110009957A - The big knowledge mapping test macro of mathematics and method in adaptive learning - Google Patents
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Abstract
The invention discloses a kind of big knowledge mapping test macros of mathematics in adaptive learning and method, method to include the following steps: S1: the corresponding test question in each knowledge point is divided into low difficulty test question and highly difficult test question；S2: knowledge point map is made in the series connection of all knowledge points；S3: knowledge point to be tested is selected from the map of knowledge point；S4: just selected knowledge point to be tested repeatedly pushes the test question of different difficulty and determines whether student grasps current knowledge point according to feedback answer, if otherwise jumping to S5, if then jumping to S6:S5: searching current knowledge point according to knowledge point map whether there is preposition knowledge point, if then jumping to S3 and the preposition knowledge point being replaced with knowledge point to be tested, if otherwise jumping to S6；S6: jumping to S3 and selectes knowledge point to be tested again.The present invention can according to answer it is objective and accurate detect that student to the grasp situation of knowledge point, and carries out retrospect to the knowledge point that do not grasp until finding the root of problem.
Description
Technical field
The invention belongs to online education technical field, the big knowledge mapping of mathematics in a kind of adaptive learning is related in particular to
Test macro and method.
Background technique
In traditional education and instruction, teacher can construct knowledge hierarchy according to Education Commission's syllabus in brain.Meanwhile it teaching
Teacher analyzes the test paper situation of test student to the grasp situation of knowledge point according to student.This judgment method there are the problem of
It is that different teachers is also different to architectonic cognition because experience with students and ability are different, causes according to test paper situation
It is accurate not enough to the judgement of students knowledge hierarchy situation.Such as how student sentences when answering the wrong same topic
Breaking it, to be related to knowledge point to the topic be absolutely not to grasp or only part is grasped, and teacher can only provide according to experience with students
Subjective judgement.Therefore, teacher can not accurately judge student to having in knowledge hierarchy by the way that Traditional teaching means are objective at present
The grasp situation of body knowledge point.Has relevance between each knowledge point in many cases,.Student fails to grasp subsequent knowledge
Point is often because grasp its preposition knowledge point insufficient.Existing teaching means can not chase after the knowledge point that do not grasp
It traces back, finds question classification.Therefore, a kind of novel knowledge point grasp situation test method how is developed, to overcome above-mentioned ask
Topic is the direction that those skilled in the art need to study.
Summary of the invention
The object of the present invention is to provide a kind of big knowledge mapping test macros of mathematics in adaptive learning, can be objective and accurate
Detect that student to the grasp situation of knowledge point, and is traced to the knowledge point that do not grasp, found the root of problem.
The technical scheme adopted is as follows:
The big knowledge mapping test macro of mathematics in a kind of adaptive learning comprising: memory module, the memory module are used
In the low difficulty test question of each knowledge point of classification storage and highly difficult test question；Composition module, the composition module is for storing
Preposition relationship and postposition relationship between knowledge point, and automatically generate knowledge point map；Test module, the test module are used for
Its test question is pushed according to knowledge point to be tested；Computing module, the computing module is for receiving answer feedback and being answered based on this
Topic is fed back and is prestored formula and calculates and export decision content；Determination module, the determination module export student for reading decision content
Whether the judgement result of knowledge point is grasped；Logic module, the logic module are used for according to result and knowledge point map is determined, more
Change knowledge point to be tested.
Based on above system, the invention also discloses a kind of big knowledge mapping test methods of mathematics in adaptive learning.
It includes the following steps: S1: the corresponding test question in each knowledge point being classified by difficulty, is divided into low difficulty survey
Examination question and highly difficult test question；S2: all knowledge points are connected in series by preposition relationship and postposition relationship, knowledge point diagram is made
Spectrum；S3: knowledge point to be tested is selected from knowledge point map obtained by S2；S4: the knowledge point to be tested selected with regard to S3 is more to student
The secondary test question for pushing different difficulty simultaneously determines whether student grasps current knowledge point according to the feedback answer of User, if
Otherwise S5 is jumped to, if then jumping to S6:S5: searching current knowledge point according to knowledge point map whether there is preposition knowledge
Point, if then jumping to S3 and the preposition knowledge point being replaced with knowledge point to be tested, if otherwise jumping to S6；S6: it jumps to
S3 simultaneously selectes knowledge point to be tested again.
Preferably, in above-mentioned adaptive learning in the big knowledge mapping test method of mathematics, step S4 includes the following steps:
S41: student treats knowledge on testing point input self-appraisal difficulty；S42: difficulty and the consistent knowledge point pair to be tested of self-appraisal difficulty are extracted
The test question answered simultaneously pushes to student；S43: receiving feedback answer of the student to the S42 test question pushed, if the feedback answer is just
It is true then jump to S44, S46 is jumped to if the feedback answer mistake；S44: it extracts in the corresponding test question in knowledge point to be tested
Highly difficult test question and push to student；S45: receiving feedback answer of the student to the S44 test pushed, if the feedback answer
It is correct then jump to determine students current knowledge point, jump to S48 if feeding back answer mistake；S46: extraction is to be tested to be known
Know the low difficulty test question in the corresponding test question of point and pushes to student；S47: receive student to the anti-of the S46 test pushed
Answer is presented, jumps to S48 if jumping if the feedback answer correctly, is currently known if feedback answer mistake is not grasped to judgement student
Know point；S48: it reads the answer of feedback twice of student, energy value and decision content is sequentially calculated based on preset algorithm, if described sentence
Definite value be greater than 0.7 determine students current knowledge point, if the decision content be less than/be equal to 0.7 if determine that student does not grasp
Current knowledge point.
It is further preferred that in above-mentioned adaptive learning in the big knowledge mapping test method of mathematics: energy value in step S48
Algorithm are as follows:In formula, e is the truth of a matter of natural logrithm function, and Pr (x=1) is to feed back answer just
True rate, β are the energy values of student n, and δ is the difficulty value of test question i；The decision content=0.3* history the average energy value+0.7*
Energy value.Described history the average energy value is the average value of the energy value acquired by all tests before epicycle test.
By using above-mentioned each technical solution: knowledge mapping will be formed after the careful fractionation in each knowledge point, teacher can be
Knowledge point to be tested is quickly positioned on knowledge mapping, and comprehensive student is to the feedback of highly difficult test question and low difficulty test question
Answer, students ' individual are to the degree of understanding of the knowledge point, to greatly improve the efficiency of the precision of student's test, simultaneously
By the association sexual intercourse between each knowledge point, the retrospect inspection that knowledge point carries out preposition knowledge point is not grasped to determining student
It surveys, the topological path along knowledge mapping excavates preposition knowledge blind spot, traces to its source and finds the root of student knowledge blind spot, makes student
Subsidy study it is more efficient, regularized learning algorithm path, study can be more suitable for oneself resource in real time.
Compared with prior art, what the present invention can be objective and accurate detect student is and right to the grasp situation of knowledge point
The knowledge point that do not grasp is traced, is found the root of problem.
Detailed description of the invention
Present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments:
Fig. 1 is workflow schematic diagram of the invention；
Fig. 2 is structural schematic diagram of the invention.
Each appended drawing reference and component names corresponding relationship are as follows:
1, memory module；2, composition module；3, test module；4, computing module；5, determination module；6, logic module；7,
User port.
Specific embodiment
In order to illustrate more clearly of technical solution of the present invention, it is further described below in conjunction with each embodiment.
Embodiment 1 as shown in Figs. 1-2:
The big knowledge mapping test macro of mathematics in a kind of adaptive learning comprising: memory module 1, composition module 2 are surveyed
Die trial block 3, computing module 4, determination module 5 and logic module 6.
Memory module 1 is used for the low difficulty test question and highly difficult test question of each knowledge point of classification storage；Composition module 2 is used
Preposition relationship and postposition relationship between stored knowledge point, and automatically generate knowledge point map；Test module 3 be used for according to
Knowledge on testing point pushes its test question to user port 7；Computing module 4 be used for receive user port 7 output answer feedback,
And it is fed back based on the answer and prestores formula and calculate and export decision content；For reading decision content, export student is determination module 5
The no judgement result for grasping knowledge point；Logic module 6 is used to replace knowledge to be tested according to result and knowledge point map is determined
Point.
Its course of work is as follows:
S1: the corresponding test question in each knowledge point is classified by difficulty, is divided into low difficulty test question and highly difficult survey
Examination question；
S2: all knowledge points are connected in series by preposition relationship and postposition relationship, knowledge point map is made；
Following table is that the association constructed in the knowledge mapping of completion between a part of knowledge point relevant to secondary radical is closed
System.
In upper table, third is classified as knowledge point title from left to right, from left to right the second label number for being classified as the knowledge point, and from left to right the 4th
It is classified as the label number of the preposition knowledge point of the knowledge point.
To illustrate labeled as the knowledge point of c090201, subsequent knowledge point includes:
C090301, c090302, c090303, c090304, c090305 etc..
Its preposition knowledge point is c090101, c090102, c090103.
It is the process that is detected and traced to knowledge point in the knowledge mapping for having constructed completion below.
S3: selecting knowledge point to be tested is the most simple secondary radical labeled as c090201；
S41: student inputs self-appraisal difficulty to the knowledge point that label is；
S42: difficulty and the consistent test question of self-appraisal difficulty are extracted in the corresponding test question of c090201 and pushes to
It is raw；
S43: receiving feedback answer of the student to the S44 test question pushed, jump to S44 if the feedback answer correctly,
S46 is jumped to if the feedback answer mistake；
S44: it extracts the highly difficult test question in the corresponding test question in knowledge point to be tested and pushes to student；
S45: receiving feedback answer of the student to the S44 test pushed, and judgement is jumped to if the feedback answer correctly and is learned
It is raw to grasp C090201, S48 is jumped to if feeding back answer mistake；
S46: it extracts the low difficulty test question in the corresponding test question in knowledge point to be tested and pushes to student；
S47: receive feedback answer of the student to the S46 test pushed, jumped to if being jumped if the feedback answer correctly
S48, if feedback answer mistake extremely determines that student does not grasp C090201；
S48: it reads the answer of feedback twice of student, energy value and decision content is sequentially calculated based on preset algorithm, if institute
State decision content and determine students current knowledge point greater than 0.7, be less than if the energy value/be equal to 0.7 if determine student not
Grasp current knowledge point.
Wherein, energy value-based algorithm isIn the formula, e is the truth of a matter of natural logrithm function, Pr
It (x=1) is the accuracy for feeding back answer, β is the energy value of student n, and δ is the difficulty value of test question i；Decision content=the 0.3*
History the average energy value+0.7* energy value.
If student does not grasp C090201 and jumps to S5, if students C090201 jumps to S6；
S5: searching knowledge mapping, and the preposition knowledge point of C090201 is c090101, c090102, c090103, is jumped to
S3, and the c090101, c090102, c090103 will be replaced c090201 respectively is knowledge point to be tested, repeats above-mentioned S41-
The process of S48, until all preposition knowledge points all traverse or labeled primary, end process.
S6: label knowledge point c090205 and its preposition knowledge point c090203, c090202 grasp, and select and next know
Knowledge point c090303 is knowledge point to be tested, to repeat the process of above-mentioned S41-S48 after c090303 replacement c090201, until institute
There are subsequent knowledge point all traversals or labeled primary, terminates process.
In step s 6, why the knowledge point for being judged to having grasped and its every preposition knowledge point are marked and is
Selecting next knowledge point again afterwards is knowledge point to be tested, is other marked preposition to know with these in subsequent detection
It avoids repeating to traverse these preposition knowledge points during knowing the relevant knowledge point of point, has substantially saved system resource and shortened
Testing process.
The above, only specific embodiments of the present invention, but scope of protection of the present invention is not limited thereto, it is any ripe
The technical staff of art technology is known in technical scope disclosed by the invention, any changes or substitutions that can be easily thought of, should all contain
Lid is within protection scope of the present invention.Protection scope of the present invention is subject to the scope of protection of the claims.
Claims (4)
1. the big knowledge mapping test method of mathematics in a kind of adaptive learning, which comprises the steps of:
S1: the corresponding test question in each knowledge point is classified by difficulty, is divided into low difficulty test question and highly difficult test question；
S2: all knowledge points are connected in series by preposition relationship and postposition relationship, knowledge point map is made；
S3: knowledge point to be tested is selected from knowledge point map obtained by S2；
S4: the test question of different difficulty is repeatedly pushed to student and according to User with regard to the knowledge point to be tested selected S3
Feedback answer determines whether student grasps current knowledge point, if otherwise jumping to S5, if jumping to S6:
S5: searching current knowledge point according to knowledge point map whether there is preposition knowledge point, if then jumping to S3 and will be before this
It sets knowledge point and replaces with knowledge point to be tested, if otherwise jumping to S6；
S6: jumping to S3 and selectes knowledge point to be tested again.
2. the big knowledge mapping test method of mathematics in adaptive learning as described in claim 1, which is characterized in that step S4 includes
Following steps:
S41: student treats knowledge on testing point input self-appraisal difficulty；
S42: it extracts the corresponding test question in the consistent knowledge point to be tested of difficulty and self-appraisal difficulty and pushes to student；
S43: receiving feedback answer of the student to the S42 test question pushed, jump to S44 if the feedback answer correctly, if should
Feedback answer mistake then jumps to S46；
S44: it extracts the highly difficult test question in the corresponding test question in knowledge point to be tested and pushes to student；
S45: receiving feedback answer of the student to the S44 test pushed, jumps to if the feedback answer correctly and determines student's palm
Current knowledge point is held, jumps to S48 if feeding back answer mistake；
S46: it extracts the low difficulty test question in the corresponding test question in knowledge point to be tested and pushes to student；
S47: receiving feedback answer of the student to the S46 test pushed, jump to S48 if jumping if the feedback answer correctly,
If feedback answer mistake extremely determines that student does not grasp current knowledge point；
S48: it reads the answer of feedback twice of student, energy value and decision content is sequentially calculated based on preset algorithm, if described sentence
Definite value be greater than 0.7 determine students current knowledge point, if the decision content be less than/be equal to 0.7 if determine that student does not grasp
Current knowledge point.
3. the big knowledge mapping test method of mathematics in adaptive learning as claimed in claim 2, it is characterised in that: in step S48
Based on formulaThe energy value is calculated, the e is the truth of a matter of natural logrithm function, and Pr (x=1) is
The accuracy of answer is fed back, β is the energy value of student n, and δ is the difficulty value of test question i；The decision content=0.3* history is average
Energy value+0.7* energy value.
4. the big knowledge mapping test macro of mathematics in a kind of adaptive learning characterized by comprising
Memory module, the memory module are used for the low difficulty test question and highly difficult test question of each knowledge point of classification storage；
Composition module, the composition module automatically generate and know for the preposition relationship and postposition relationship between stored knowledge point
Know point map；
Test module, the test module are used to push its test question according to knowledge point to be tested；
Computing module, the computing module for receive answer feed back and be based on the answer feed back and prestore formula calculating and it is defeated
Decision content out；
Determination module, the determination module is for reading whether decision content, output student grasp the judgement result of knowledge point；
Logic module, the logic module are used to replace knowledge point to be tested according to result and knowledge point map is determined.
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Address after: 200025 B381 room 588, Tianlin East Road, Xuhui District, Shanghai. Applicant after: Shanghai squirrel classroom Artificial Intelligence Technology Co., Ltd Address before: 200025 B381 room 588, Tianlin East Road, Xuhui District, Shanghai. Applicant before: SHANGHAI YIXUE EDUCATION TECHNOLOGY Co.,Ltd. |
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