CN110428681A - A kind of distance assisted instruction system and method based on big data - Google Patents
A kind of distance assisted instruction system and method based on big data Download PDFInfo
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- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
- G09B7/02—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
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Abstract
The distance assisted instruction system and method based on big data of offer of the invention, based on the number and score value that nearly n carrys out the appearance of the examination point i in examination paper, and the method based on bubble map analysis determines the proportion coefficients of each examination point i, is the score value that paper distributes each examination point i based on proportion coefficients.The present invention more accurate, objective assessment and specific gravity and score value for predicting each examination point i by the method for big data analysis preferably hold emphasis of taking an examination convenient for Faculty and Students, improve efficiency of teaching.
Description
Technical field
The present invention relates to teaching fields, and in particular to a kind of distance assisted instruction system and method based on big data.
Background technique
It with the fast development of artificial intelligence, is currently based on computer remote online teaching and quickly grows, while also promoting
Traditional teaching way continues to optimize upgrading.On the one hand, intelligentized tutoring system more and more appears in daily class
In hall teaching；Another party, the technology of setting a question based on Computerized intelligent is also more and more to be applied to aided education.For example,
Examination paper intelligent setting questions and organizing system disclosed in CN1932795A, according to topic type ratio, knowledge point, significance level, difficulty system
The priority level sequence of the examination questions target components such as number carries out a group volume, accurately can roll up proposition according to the regulation group of examination outline,
The diversity for guaranteeing extraction examination question combines the priority level sequence of the examination question target component of paper, improves setting questions and organizing
Efficiency；CN109885288A, which is disclosed, a kind of to be generated topic according to subject semantic network and the automation of corresponding semantic rules and is
System, student can select the customized some topics in knowledge point, increase specific aim, consolidate knowledge according to own situation,
Improve self-ability；A kind of linear algebra test question question-setting system disclosed in CN109767663A, by the previous operation of student
Wrong topic be collected, be difficult to degree at random and be that each classmate generates personalized examination question according to teacher is given so that
Each student can easily face examination, thus very interested in study；And CN107909520A is even more benefit
With big data, long-range, automated teaching are realized, recorded according to the answer of student, examination question is calculated, the degree of correlation, examination question are known
Know point and item difficulty, realizes that automation makes the test using these three parameters, it is ensured that paper examination point is comprehensive, can assess well
The raw grasp situation to knowledge point.
Although the prior art of above-mentioned record can realize intelligent, automation according to indexs such as examination point, student's mistake topic numbers
Ground paper is set a question, but these methods or only considers some independent paper index, or does not consider each paper comprehensively
Incidence relation between index, can not assisted teacher help student targetedly to improve.
Summary of the invention
Learn situation in order to which more fully aided education teacher understands student, and help students more efficiently are examined
Try examination point, it is ensured that obtain excellent achievement in items examination.The present invention provides a kind of remote secondary assiatant based on big data
System, using big data analysis, examination point, main points in the examination over the years of accurate, comprehensive assessment can help Faculty and Students more complete
The grasp knowledge point in face.
A kind of distance assisted instruction system based on big data, including database, first processor, second processor, examination
Roll out topic module, display module, wherein database, first processor, second processor, paper set a question module, display module according to
Secondary sequential connection.
The database carrys out all the past examinations examination question for storing nearly n.
The first processor extracts nearly n based on the analysis method of big data come all examination point i in examination question of taking an examination,
And statistically analyze the score value for obtaining examination point i occurs in every set paper number and corresponding examination point i；Then, each examination point i is counted to exist
The number and the corresponding total score of corresponding number occurred in nearly n examination, and according to the nearly n of acquisition take an examination in examination point i,
The total score of the number of examination point i and corresponding number draws out bubble diagram, obtains each examination point i in bubble diagram and corresponds to maximum in bubble
The value M of bubblei.Wherein, n is positive integer, is preferably greater than equal to 5；I is the integer greater than 0；0<Mi<100。
The second processor obtains examination point i and the corresponding M of examination point i that first processor is calculatediValue, and base
In the M of acquisitioniValue calculates the proportion coefficients k of each examination point ii, calculation formula are as follows:
The paper is set a question module, with the proportion coefficients k of the total score of examination paper and examination point iiProduct as each
Total score of the examination point i in this examination question, and the corresponding examination question quantity of each examination point i is distributed based on the total score of each examination point.
The invention has the following beneficial effects:
N is extracted come the examination point i in examination paper according to big data, and the method based on bubble map analysis determines each examination point i's
Proportion coefficients, and be the score value and examination question quantity that paper distributes each examination point i based on proportion coefficients.The present invention passes through big data point
The method of analysis can more accurate, objective assessment and the specific gravity and score value that predict each examination point i, it is more preferable convenient for Faculty and Students
Assurance take an examination emphasis, improve efficiency of teaching, and obtain marvelous results for student and lay the foundation.
Detailed description of the invention
Fig. 1 is distance assisted instruction system structural schematic diagram of the present invention.
Fig. 2 is the bubble diagram that the total score based on examination point i, the number of examination point i and corresponding number is drawn.
Fig. 3 is distant assistant teaching method flow diagram of the present invention.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached drawing to embodiment party of the present invention
Formula is described in further detail.
Embodiment 1:
As shown in Figure 1, a kind of distance assisted instruction system based on big data, including database, first processor, second
Processor, paper are set a question module, display module, and wherein database, first processor, second processor, paper are set a question module, aobvious
Show that module is successively linked in sequence.
The database carrys out all the past examinations examination question for storing nearly n.For example, being stored in 2015-2019 nearly 5 years
It examines or high examination paper is as the basic examination question data in database.
The first processor extracts all examination points over 5 years in examination paper for the analysis method based on big data
I, and the score value for obtaining examination point i occurs in every set paper number and corresponding examination point i is counted, each examination point i is then counted nearly 5
The number and the corresponding total score of corresponding number occurred in year examination, according to examination point i, the examination point i in examination in nearly 5 years of acquisition
Number and the total score of corresponding number draw out bubble diagram, and obtain each examination point i in bubble diagram and correspond to most atmosphere in bubble
The value Mi of bubble.
Specifically, it is assumed that the examination over 5 years really inscribe in be related to 5 examination points altogether, statistics is taken an examination each in corresponding paper every year
The score value of number and corresponding each examination point that a examination point occurs, as shown in following table 2-1,2-2.
Each examination point frequency of occurrence statistics of table 2-1 2015-2019
Each examination point score value statistics of table 2-2 2015-2019
Then, corresponding according to the number of the appearance of 5 examination points, each examination point in the examination over 5 years and corresponding number
Total score draw bubble diagram, as shown in Figure 2.X-axis in Fig. 2 corresponds to each examination point i, and y-axis is the number that each examination point occurs, bubble
Air Bubble Size in figure indicates total score M when examination point i frequency of occurrencei。
The second processor obtains examination point i and the corresponding M of examination point i that first processor is calculatediValue, and base
In the M of acquisitioniValue calculates the proportion coefficients k of each examination point ii, calculation formula are as follows:
As shown in Fig. 2, available: the corresponding bubble value of examination point 1 is most after drawing corresponding bubble diagram according to table 2-1,2-2
Big value is 30, and the corresponding bubble maximum value of examination point 2 is 35, and the corresponding bubble maximum value of examination point 3 is 32, the corresponding bubble maximum value of examination point 4
It is 31, the corresponding bubble maximum value of examination point 5 is 64.It is respectively k that the corresponding proportion coefficients of each examination point, which can be calculated, according to above formula1=
0.1563, k2=0.1823, k3=0.1667, k4=0.1615, k5=0.3333.
The module of setting a question, the proportion coefficients k of total score and examination point i based on examination paperiProduct as respectively examining
Total score of the point i in this examination question, and the corresponding examination question quantity of each examination point i is distributed based on the total score of each examination point.As examination point i
Score value when being less than paper minimum score value unit, be related to the examination question of examination point i for this paper distribution together minimum score value.Example
Such as, the score value distributed as examination point i is 4 timesharing, and this paper minimum score value is 5 points, then is 5 points together of the distribution of this paper
Be related to the examination question of examination point i.
The display module, for showing the paper content after completing automatic problem building.
Embodiment 2:
The assisted teaching system further includes the amending unit connecting with the second microprocessor, for according to respectively examining in examination
The scoring event of point i is to proportion coefficients kiIt is modified, modifying factor αi, the revised proportion coefficients of examination point i are kiαi.Its
In, the score of examination point i is higher, then the modifying factor α of the examination pointiIt is smaller, and modified proportion coefficients kiαiMeet following formula:
After being modified by proportion coefficients of the amending unit to examination point i, being directed to when can be set a question again with assisted teacher
Property and stressing property it is stronger, be also relatively beneficial to student and look into scarce leak repairing, more effectively firm knowledge is short of point.
Embodiment 3:
The distant assistant teaching method based on big data that the invention further relates to a kind of, the method comprising the steps of:
S1, nearly n is extracted based on the analysis method of big data come all examination point i in examination question of taking an examination, and statisticallys analyze and obtains
Take the number and corresponding score value that examination point i occurs in every set paper；
The number and the corresponding total score of corresponding number that S2, each examination point i of statistics occur in nearly n examination, and according to
Examination point i, the number of examination point i and the total score of corresponding number in nearly n examination obtained draws out bubble diagram, obtains bubble
Each examination point i corresponds to the value M of largest air bubbles in bubble in figurei；
S3, the examination point i acquired and the corresponding M of examination point iiValue, and the M based on acquisitioniValue calculates the ratio of each examination point i
Repeated factor ki, calculation formula are as follows:
The proportion coefficients k of S4, the total score based on examination paper and examination point iiProduct as each examination point i this examination
Total score in topic, and the corresponding examination question quantity of each examination point i is distributed based on the total score of each examination point, it completes examination paper and sets a question.
S5, according to the scoring event of examination point i each in examination to proportion coefficients kiIt is modified, modifying factor αi, examination point i
Revised proportion coefficients are kiαi, total score and examination point i based on examination paper correspond to revised proportion coefficients kiαiProduct
The corresponding examination question number of each examination point i is distributed as total score of each examination point i in this examination question, and based on the total score of each examination point
Amount completes examination paper and sets a question.
S6, step S4, S5 is repeated until teacher is satisfied.
Distance assisted instruction system and method based on big data of the invention, is gone out with the examination point that nearly n comes in examination paper
Based on existing number and score value, the foundation of the score value and examination question quantity that are related to as each examination point in paper of setting a question, Ke Yigao
The help Faculty and Students of effect faster, more effectively grasp each examination point.
The above is only a preferred embodiment of the present invention, it should be pointed out that: for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (7)
1. a kind of distance assisted instruction system based on big data, including database, first processor, second processor, paper
Set a question module, display module, wherein database, first processor, second processor, paper set a question module, display module successively
It is linked in sequence.
2. distance assisted instruction system as described in claim 1, which is characterized in that the database, for storing nearly n
All the past examinations examination question；
The first processor extracts nearly n based on the analysis method of big data come all examination point i in examination question of taking an examination, and unites
Meter analysis obtains the number and corresponding score value that examination point i occurs in every set paper；Then, each examination point i is counted to take an examination in nearly n
The number of middle appearance and the corresponding total score of corresponding number, and according to time of examination point i, examination point i in the nearly n of acquisition examination
The total score of several and corresponding number draws out bubble diagram, obtains each examination point i in bubble diagram and corresponds to taking for largest air bubbles in bubble
Value Mi；Wherein, n is positive integer；I is the integer greater than 0；0<Mi<100；
The second processor obtains examination point i and the corresponding M of examination point i that first processor is calculatediValue, and based on acquisition
MiValue calculates the proportion coefficients k of each examination point ii, calculation formula are as follows:
The data are set a question module, the proportion coefficients k of total score and examination point i based on examination paperiProduct as each examination point
Total score of the i in this examination question, and the corresponding examination question quantity of each examination point i is distributed based on the total score of each examination point.
3. distance assisted instruction system as claimed in claim 2, which is characterized in that the display module is set a question for showing
Paper content afterwards.
4. distance assisted instruction system as claimed in claim 2, which is characterized in that further include having to connect with the second microprocessor
Amending unit.
5. distance assisted instruction system as claimed in claim 4, which is characterized in that the amending unit is used for according in examination
The scoring event of each examination point i is to proportion coefficients kiIt is modified, modifying factor αi, the revised proportion coefficients of examination point i are ki
αi.Wherein, the score of examination point i is higher, then the modifying factor α of the examination pointiIt is smaller, and modified proportion coefficients kiαiUnder satisfaction
Formula:
6. distance assisted instruction system as claimed in claim 2, which is characterized in that n is preferably greater than to be equal to 5.
7. a kind of distant assistant teaching method based on big data, which is characterized in that the method comprising the steps of:
S1, nearly n is extracted based on the analysis method of big data come all examination point i in examination question of taking an examination, and it is every to statistically analyze acquisition
Cover the number and corresponding score value that examination point i occurs in paper；
The number and the corresponding total score of corresponding number that S2, each examination point i of statistics occur in nearly n examination, and according to acquisition
Nearly n examination in examination point i, the number of examination point i and the total score of corresponding number draw out bubble diagram, obtain in bubble diagram
Each examination point i corresponds to the value M of largest air bubbles in bubblei；
S3, the examination point i acquired and the corresponding M of examination point iiValue, and the M based on acquisitioniValue calculate the specific gravity of each examination point i because
Sub- ki, calculation formula are as follows:
The proportion coefficients k of S4, the total score based on examination paper and examination point iiProduct as each examination point i in this examination question
Total score, and distribute the corresponding examination question quantity of each examination point i based on the total score of each examination point, complete examination paper and set a question.
S5, according to the scoring event of examination point i each in examination to proportion coefficients kiIt is modified, modifying factor αi, examination point i amendment
Proportion coefficients afterwards are kiαi, total score and examination point i based on examination paper correspond to revised proportion coefficients kiαiProduct conduct
Total score of each examination point i in this examination question, and the corresponding examination question quantity of each examination point i is distributed based on the total score of each examination point, it is complete
Set a question at examination paper.
S6, step S4, S5 is repeated until teacher is satisfied.
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