CN108122179A - Delamination Teaching cource arrangement method and device, delamination Teaching curricula-variable method and system - Google Patents
Delamination Teaching cource arrangement method and device, delamination Teaching curricula-variable method and system Download PDFInfo
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Abstract
The present invention discloses a kind of delamination Teaching cource arrangement method and device, delamination Teaching curricula-variable method and system.Delamination Teaching curricula-variable method of the present invention includes：Receive student grouping, participation in the election course and curricula-variable rule that teacher users are set；Curriculum information to be selected is shown to User；Receive the curricula-variable information of User input；The curricula-variable information is handled, obtains target school timetable；Target school timetable is presented to User and teacher users.The present invention according to delamination Teaching, walk the business characteristic of class's class, consider curricula-variable, the resource of row's class and rule relation, practicable efficient traffic strategy provided for school curricula arrangement and planning by effective ways such as the grouping of curricula-variable course, row's class rules.The present invention program has rationally taken into account schoolman, student, classroom, course resources, effectively combines the daily schedule, and school qualified teachers distribution, class's planning and student is instructed to put into several classes, and business game flow and regular flexibility and changeability.
Description
Technical field
The present invention relates to Internet education informatization, more particularly to a kind of delamination Teaching cource arrangement method and device divide
Layer teaching curricula-variable method and system.
Background technology
Information technology and Internet technology be promote progress of human society an important boosting power, human society it is each
Field enters the informatization and network epoch successively.With the continuous development of human society and information technology and Internet technology
It constantly improves, the influence to all sectors of society is also constantly being deepened.
Internet education informationization is that one kind that education sector is formed under the influence of information technology and Internet technology is new
Type business model combines the main feature of the computing of computer high speed algorithm and internet fast propagation, to traditional education row
Industry operation flow and work efficiency optimize raising, and guiding people expand education sector novel information on this basis
The exploration of network traffic pattern.
Curricula-variable business is a kind of teaching operations that school increasingly popularizes.
Layering curricula-variable is a kind of outstanding teaching pattern taught students in accordance with their aptitude of current mainstream, according to student in a certain course
Study situation and cognitive ability break the situation that original fixed class (becoming administrative class herein) attends class, by same layer in school
Secondary student is reassembled as new curricula-variable class (the herein referred as class of taking as an elective course), and level and student's quantity arrange different according to residing for student
Teaching programme and qualified teachers proportioning.
Such teaching pattern can greatly improve efficiency of teaching and education specific aim, but according to traditional school instruction plan
Formulation mode is carrying out course layering, is putting into several classes and arrange that huge workload and logic analysis work will be faced class hour, such as course quantity
It is more, it is calculated by manpower merely very poorly efficient and cumbersome.
The content of the invention
In view of above technical problem, the present invention provides a kind of delamination Teaching cource arrangement methods and device, delamination Teaching curricula-variable
Method and system reduces teaching complexity and improves teaching efficiency, opened up exploration new education model.
According to an aspect of the present invention, a kind of delamination Teaching cource arrangement method is provided, including：
According to the input of teacher users, row's class template, and the row's of setting class rule and rule prioritization are selected；
According to row's class rule and rule prioritization, automatic curriculum scheduling is carried out to the curricula-variable information of User input；
Automatic curriculum scheduling result is applied to school timetable, obtains current school timetable；
Using current school timetable as target school timetable.
In one embodiment of the invention, it is described that automatic curriculum scheduling result is applied to school timetable, after obtaining current school timetable,
The method further includes：
Current school timetable is presented to teacher users；
According to the input of teacher users, current school timetable is adjusted.
In one embodiment of the invention, the input according to teacher users, before selecting row's class template, the side
Method further includes：
According to the input of teacher users and/or User, specific course is set in advance in the fixed position of school timetable.
In one embodiment of the invention, it is described according to row's class rule and rule prioritization, to User input
Curricula-variable information, which carries out automatic curriculum scheduling, to be included：
Using genetic algorithm, the curricula-variable information that User inputs is carried out according to row's class rule and rule prioritization automatic
Row's class, wherein row's class rule include row's class strict rule and row's class priority rule.
In one embodiment of the invention, it is described using genetic algorithm, according to row's class rule and rule prioritization to learning
Raw curricula-variable information input by user, which carries out automatic curriculum scheduling, to be included：
Initial population is generated, wherein, population is the school timetable group of multiple school timetables composition, and individual is a school timetable；
Each individual in initial population is screened according to row's class strict rule, each individual is obtained and is satisfied by row's class
First population of strict rule；
Individual Quality assessment is carried out to each individual in the first population according to row's class priority rule, obtains each individual
Desired value；
If the desired value of current individual is optimal value, the school timetable which is represented is defeated as automatic curriculum scheduling result
Go out；
If optimal value is not achieved in the desired value of each individual in the first population, judge whether current iteration number reaches
To predetermined iterative value；
If current iteration number reaches predetermined iterative value, it is predetermined that desired value highest first is selected from current population
Number individual is exported as automatic curriculum scheduling result；
If predetermined iterative value is not achieved in current iteration number, by the individual in the first population, desirably value drops
Sequence arranges, and the individual of predetermined ratio is selected to be intersected and mutation operation, is formed afterwards according to the individual after intersection and variation
Population generates initial population, performs the step of being screened according to row's class strict rule to each individual in initial population.
In one embodiment of the invention, the generation initial population includes：
Include the initial population of m individual of the second predetermined number according to school's basic data generation；
It is described that each individual in initial population is screened according to row's class strict rule, it obtains each individual and is satisfied by
First population of row's class strict rule includes：
The screening of row's class strict rule is carried out to initial population, filters out n individual for meeting row's class strict rule, wherein n
≤m；
If n is less than m, m-n individual is generated according to school's basic data again, n with meeting row's class strict rule
Body forms initial population, performs the step of screening of row's class strict rule is carried out to initial population afterwards；
If n is equal to m, the first population for including m individual for meeting row's class strict rule is generated, is performed afterwards according to row
The step of class priority rule carries out Individual Quality assessment to each individual in the first population；
The step of population that the individual according to after intersection and variation forms generates initial population includes：
Using the individual amount after intersection and variation and as l, m-l individual is generated according to school's basic data again, with group
Into the initial population for including m individual, the step of screening of row's class strict rule is carried out to initial population is performed afterwards.
According to another aspect of the present invention, a kind of delamination Teaching curricula-variable method is provided, including：
Receive student grouping, participation in the election course and curricula-variable rule that teacher users are set；
Curriculum information to be selected is shown to User；
Receive the curricula-variable information of User input；
The curricula-variable information is handled, obtains target school timetable；
Target school timetable is presented to User and teacher users.
In one embodiment of the invention, described that curricula-variable information is handled, obtaining target school timetable includes：It is such as above-mentioned
Delamination Teaching cource arrangement method described in any embodiment.
According to another aspect of the present invention, a kind of delamination Teaching row class device is provided, including row's class stencil-chosen module, certainly
Dynamic row's class module, row's class result application module and target school timetable determining module, wherein：
Row's class stencil-chosen module for the input according to teacher users, selects row's class template, and the row's of setting class rule and
Rule prioritization；
Automatic curriculum scheduling module, for according to row's class rule and rule prioritization, to User input curricula-variable information into
Row automatic curriculum scheduling；
Row's class result application module, for automatic curriculum scheduling result to be applied to school timetable, obtains current school timetable；
Target school timetable determining module, for using current school timetable as target school timetable.
In one embodiment of the invention, the delamination Teaching row class device further includes manual curriculum scheduling module and/or pre-
Row's class module, wherein：
Manual curriculum scheduling module for automatic curriculum scheduling result to be applied to school timetable in row's class result application module, obtains current
After school timetable, current school timetable is presented to teacher users；And according to the input of teacher users, current school timetable is adjusted.
Walkthrough class module, for the input in row's class stencil-chosen module according to teacher users, before selecting row's class template,
According to the input of teacher users and/or User, specific course is set in advance in the fixed position of school timetable.
In one embodiment of the invention, automatic curriculum scheduling module is used for according to row's class rule and rule prioritization to student
Curricula-variable information input by user carries out automatic curriculum scheduling, and wherein row's class rule includes row's class strict rule and row's class priority rule.
In one embodiment of the invention, automatic curriculum scheduling module includes initial population generation unit, strict rule screens
Unit, desired value acquiring unit, row's class result output unit, iterations judging unit and cross and variation unit, wherein：
Initial population generation unit, for generating initial population, wherein, population is the school timetable group of multiple school timetables composition,
Individual is a school timetable；
Strict rule screening unit, for being screened according to row's class strict rule to each individual in initial population,
Obtain the first population that each individual is satisfied by row's class strict rule；
Desired value acquiring unit, for carrying out Individual Quality to each individual in the first population according to row's class priority rule
Assessment, obtains the desired value of each individual；
Row's class result output unit, in the case of being optimal value in the desired value of current individual, by the individual generation
The school timetable of table is exported as automatic curriculum scheduling result；
The situation of optimal value is not achieved for the desired value of each individual in the first population in iterations judging unit
Under, judge whether current iteration number reaches predetermined iterative value；And in the case where current iteration number reaches predetermined iterative value,
Instruction row's class result output unit selects the highest first predetermined number individual of desired value as automatic row from current population
Class result exports；
Cross and variation unit for the judging result according to iterations judging unit, is not achieved in current iteration number
In the case of predetermined iterative value, by the individual in the first population, desirably value carries out descending arrangement, selects of predetermined ratio
Body is intersected and mutation operation, and the population formed afterwards according to the individual after intersection and variation generates initial population, and indicates
The operation that the execution of strict rule screening unit screens each individual in initial population according to row's class strict rule.
In one embodiment of the invention, initial population generation unit is used to include the according to the generation of school basic data
The initial population of two individuals of predetermined number m；
Strict rule screening unit is including screening submodule, initial population completion submodule and the first all living creatures into submodule
Block, wherein：
Submodule is screened, for carrying out the screening of row's class strict rule to initial population, filters out and meets row's class strict rule
N individual, wherein n≤m；
In the case of being less than m in n, m-n are generated according to school's basic data again for initial population completion submodule
Body, with meeting n of row's class strict rule individual composition initial population, the submodule of instruction screening afterwards perform to initial population into
The operation of row row's class strict rule screening；
The first all living creatures is into submodule, and in the case of being equal to m in n, generation meets a including m of row's class strict rule
First population of individual, indicate afterwards desired value acquiring unit perform according to row's class priority rule in the first population per each and every one
Body carries out the operation of Individual Quality assessment；
Cross and variation unit is when the population formed according to the individual after intersection and variation generates initial population, for that will hand over
Individual amount after fork and variation and as l, m-l individual is generated according to school's basic data again, individual comprising m form
Initial population, afterwards instruction screening submodule execution initial population is carried out row's class strict rule screening operation.
According to another aspect of the present invention, a kind of delamination Teaching Course-Selecting System is provided, including parameter setting apparatus, treats curricula-variable
Device is presented in information display device, curricula-variable information receiver, curricula-variable information processing unit and target school timetable, wherein：
Parameter setting apparatus, for receiving the student grouping of teacher users setting, participation in the election course and curricula-variable rule；
Curricula-variable information display device is treated, for showing curriculum information to be selected to User；
Curricula-variable information receiver, for receiving the curricula-variable information of User input；
Curricula-variable information processing unit for handling the curricula-variable information, obtains target school timetable；
Device is presented in target school timetable, for target school timetable to be presented to User and teacher users.
In one embodiment of the invention, curricula-variable information processing apparatus is set to the layering religion as above stated described in any embodiment
Learn row's class device.
The present invention according to delamination Teaching, walk the business characteristic of class's class, consider curricula-variable, resource and the rule of row's class are closed
System is provided by effective ways such as the grouping of curricula-variable course, row's class rules for school curricula arrangement and planning practicable efficient
Business game.
Description of the drawings
It in order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention, for those of ordinary skill in the art, without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the schematic diagram of delamination Teaching curricula-variable method one embodiment of the present invention.
Fig. 2 is the schematic diagram of delamination Teaching cource arrangement method first embodiment of the present invention.
Fig. 3 is the schematic diagram of delamination Teaching cource arrangement method second embodiment of the present invention.
Fig. 4 a and Fig. 4 b are the schematic diagram of school timetable presentation mode in one embodiment of the invention.
Fig. 5 is the schematic diagram that course is distributed indicator light in one embodiment of the invention.
Fig. 6 is the schematic diagram that one embodiment of the invention carries out the curricula-variable information that User inputs automatic curriculum scheduling.
Fig. 7 is the schematic diagram of delamination Teaching row class device first embodiment of the present invention.
Fig. 8 is the schematic diagram of delamination Teaching row class device second embodiment of the present invention.
Fig. 9 is the schematic diagram of one embodiment of the invention automatic curriculum scheduling module.
Figure 10 is the schematic diagram of one embodiment of the invention strict rule screening unit.
Figure 11 is the schematic diagram of delamination Teaching Course-Selecting System one embodiment of the present invention.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.Below
Description only actually at least one exemplary embodiment is illustrative, is never used as to the present invention and its application or makes
Any restrictions.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Lower all other embodiments obtained, belong to the scope of protection of the invention.
Unless specifically stated otherwise, the component and positioned opposite, the digital table of step otherwise illustrated in these embodiments
It is not limited the scope of the invention up to formula and numerical value.
Simultaneously, it should be appreciated that for ease of description, the size of the various pieces shown in attached drawing is not according to reality
Proportionate relationship draw.
It may be not discussed in detail for technology, method and apparatus known to person of ordinary skill in the relevant, but suitable
In the case of, the technology, method and apparatus should be considered as authorizing part for specification.
In shown here and discussion all examples, any occurrence should be construed as merely illustrative, without
It is as limitation.Therefore, the other examples of exemplary embodiment can have different values.
It should be noted that：Similar label and letter represents similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined, then it need not be further discussed in subsequent attached drawing in a attached drawing.
Fig. 1 is the schematic diagram of delamination Teaching curricula-variable method one embodiment of the present invention.Preferably, the present embodiment can be by this hair
Bright delamination Teaching Course-Selecting System performs.This method comprises the following steps：
Step 101, curricula-variable activity is established.The curricula-variable parameter that teacher users are set is received, wherein the curricula-variable parameter includes
Student grouping, the participation in the election information such as course and curricula-variable rule.
Applicant is according to long-term business experience, and in order to meet the curricula-variable of grade mixing for many years, realization can open different courses
To the purpose of different students selection, invent and distinguished the method for curricula-variable object by setting student grouping.Before curricula-variable, business is old
Teacher's (teacher users) according to this curricula-variable target and course arrangement, by student carry out group divided freely (can by school district, by grade, press
Class, by self-defined student group), then when participating in the election of course offered, limit can anthology class student grouping, reach not classmate
The raw purpose for seeing different optional curriculums tables.
It in addition, will also setting curriculum information, teacher's information, reference video, course class hour, when setting and participating in the election of course
Point, number of attending class, class period, place of attending class, curricula-variable cycle (cannot repeat choosing, choosing cannot be repeated in academic year, is permanent in term
Can only select once), preposition course (be used for constrain student must the complete some courses of cultivation could select this course, avoid
Student causes the course of selection to can not be successfully end because not catching up with teaching process) etc. information, help student fully understand this course
Basic condition and study requirement.
In order to constrain students' needs quantity and curricula-variable direction, applicant has invented according to long-term curricula-variable experience and has passed through setting
Course curricula-variable rule (is presented as a series of system operatio constraints and reminds), by choosing of the computer software to login student
The mode that class behavior is constrained and reminded achievees the purpose that specification students' needs.Curricula-variable rule of the present invention is divided into following two
Part：
Firstth, student's rule
Student's rule describes the rule constraint to the student that participates in the election of, and is embodied in explanatory note and (will be seen that during students' needs
Word remind), class hour the upper limit set (the class hour number that i.e. each student does not allow more than), the credit upper limit set (i.e. each learning
The raw maximum credit not allowed more than), curricula-variable quantity (i.e. each student's quantity that curricula-variable journey does not allow more than), time conflict
It switchs (student whether is allowed to select this subject when conflicting with the current class period).
Secondth, course rule
Course rule describe rule constraint between Open Course, be mainly used to prevent student's selection mutual exclusion course or
Select multi-door similar course.The set-up mode of course rule is by selected one to multi-door course, then sets what is this time selected
The quantity that course student at least selects and the quantity at most selected.Since course can select one, and it can be 0 to select quantity
Scope between course quantity, therefore can flexibly grasp, realize single class course it is optional (i.e. course one, at least selects 0,
At most selection 1), single class course it is essential (i.e. course one, at least selects 1, at most select 1), one mutual exclusion selection of multiselect, multiselect it is more
The various situations such as multinomial selection.
Step 102, curricula-variable activity is issued, curriculum information to be selected is shown to User.
After the completion of curricula-variable parameter setting, responsible teacher can issue the activity of this curricula-variable, when reaching curricula-variable activity setting
Between after, student can log in Course-Selecting System carry out curricula-variable.
Step 103, the curricula-variable information of User input is received.
Step 104, the curricula-variable information is handled, obtains target school timetable.
Step 105, target school timetable is presented to User, parent subscriber and teacher users.
The above embodiment of the present invention is applicable not only to delamination Teaching curricula-variable, can also be adapted to original this teaching of school choosing
Class.
Layering curricula-variable comparison school this curricula-variable fundamental difference is：
This curricula-variable of school be a kind of teacher declare rear student arrive first first Select-Course Mode, business characteristic be participation in the election course be
It is independently declared by teacher, can be opened to students' needs after being passed through by correlation leader's examination ＆ verification.
This curricula-variable of school class period is fixed, and student sequentially selects i.e. according to course content brief introduction and class period
Can, follow-up student can not select again after the class's of taking as an elective course capacity is full.
Layering curricula-variable is then different, (is mostly the spy that the outer schoolman of national curriculum system independently declares with respect to school-based curriculum
Color course), many core curriculum are also required to the pattern using delamination Teaching, there is no the hardness limitation of class's capacity, such as：Language
The courses such as text, mathematics are that each student is required, can only carry out class's quantity adjustment according to different levels student quantity, and cannot
Whether limiting student's selection course.Therefore, the participation in the election course for being layered curricula-variable is mostly the mainstream class in country or international curricular system
Journey.
Curricula-variable is layered with this curricula-variable of school there is also something in common, i.e., there is also curricula-variable object is different, course is required, course choosing
It repaiies.
In the case where the above embodiment of the present invention is applied to this curricula-variable of school, the setting in the step 101 of Fig. 1 embodiments
Curricula-variable parameter further includes declaration policy rules of customs；Step 101 further includes：Receive the curriculum information that teacher declares；Step 104 can include：
After students' needs, it is responsible for teacher and artificially adjustment and Statistical Comparison is carried out to students' needs result, can lead to after confirmation is errorless
Know that elective course teaching schedule is unfolded in teacher, student and parent.
In the case where the above embodiment of the present invention is applied to layering curricula-variable, since compared with this curricula-variable of school, layering is selected
Class does not have teacher to declare flow and has had more the demand of row's class, therefore business core has been also transferred in curricula-variable result treatment (i.e.
Setting that students' needs result adjusts, layering course is put into several classes).Since layering curricula-variable also needs to row's class, business is more complicated, because
Row's class part included by Fig. 1 embodiment steps 104 is described in detail below this.
Based on the delamination Teaching curricula-variable method that the above embodiment of the present invention provides, mainly around Novel layered teaching, the class of walking
Curricula-variable row lessons business under the teaching pattern attended class, by means of information technology and Internet technology, is passed through based on abundant traditional business
It tests, exploration has developed a set of practicable Web Course Selection-Arrangement solution.The above embodiment of the present invention can realize that curricula-variable rule is set
It puts, teacher declares online, the online curricula-variable of student (this class of school and layering class), curricula-variable result adjust, curricula-variable is put into several classes, the automatic school of rule
It tests, the functions such as data programming count, the advanced teaching idea such as delamination Teaching and new curriculum reform can be met well.
Fig. 2 is the schematic diagram of delamination Teaching cource arrangement method first embodiment of the present invention.Preferably, the present embodiment can be by this hair
Bright delamination Teaching row class device performs.(step 104) i.e. in Fig. 1 embodiments may comprise steps of this method：
Step 201, according to the input of teacher users, row's class template, and the row's of setting class rule and rule prioritization are selected.
In one embodiment of the invention, row's class rule includes row's class strict rule and row's class priority rule.
In one embodiment of the invention, rule prioritization refers to the order or preferential of row's class rule of user setting
Grade.
In one particular embodiment of the present invention, row's class strict rule can include：
1st, time conflict control rule
Student or teacher cannot again the same time appear in different location and attend class or teach, except special setting.
2nd, place conflict control rule
One classroom cannot agree to that the time is used simultaneously by multi-door course or multiple classes, except conjunction class class.
3rd, it is regular without row is exempted between class hour
After some times are marked between no class hour, these times will be unable to carry out row's class.
4th, set time and fixed course rule
After for some mark times, fixed course of attending class (or only vacate time be not provided with course) is set, this part-time
It will be unable to arrange other courses.
5th, class hour control rule
After setting course all class hours, when course will be unable to continue to arrange this after number of rows amount reaches class hour quantity in week age
Course.
6th, daily schedule control rule
After daily schedule is set, number of days i.e. every morning of attending class weekly, afternoon, night period of attending class are already fixed, it is impossible to
Beyond period row's class.
Row's class preference rule (taking into account rule) can include：
1st, weekend attends class rule
Set whether certain course weekend attends class and weekend attends class class hour quantity.
Set certain course weekend attend class whether platoon and several sections of platoon.
2nd, morning and afternoon course rule
Certain course is set to be inclined to, and attend class in the morning or attend class in the afternoon.
3rd, course platoon rule
Set certain course whether platoon and several sections of platoon.
4th, teaching notes alignment rule
Teach the situation of the same course of multiple classes simultaneously for a teacher, whether setting keeps teaching notes in this teacher one week
Alignment, facilitates teacher preparation.
5th, morning and afternoon continuously attends class rule
For a teacher, if row's morning and afternoon class hour is allowed continuously to attend class.
6th, teacher's priority rule
Whether setting preferentially carries out row's class to this teacher.
7th, all class hour distribution rules
For one week class hour of teacher, it is set to be distributed as uniformly or concentrate.
8th, distribution rule during daily lessons
For one class hour of teacher, it is set to be distributed as uniformly or concentrate.
Step 202, according to row's class rule and rule prioritization, the curricula-variable information of User input is arranged automatically
Class.In system automatic curriculum scheduling, can respective rule be ensured according to priority according to the rule ordering of row's class rule of user setting
It comes into force.
In one embodiment of the invention, step 203 can include：Using genetic algorithm, according to row's class rule and rule
Then priority carries out automatic curriculum scheduling to the curricula-variable information that User inputs.
Step 203, automatic curriculum scheduling result is applied to school timetable, obtains current school timetable.
Step 204, using current school timetable as target school timetable.
The automatic curriculum scheduling function that the above embodiment of the present invention provides is embodiment of the information technology to row's class service impact maximum,
After automatic curriculum scheduling function, the row's class set according to teacher rule and walkthrough class result are automatically drained out multiple school timetables by system,
Then optimal school timetable is found out from result set again to be presented to the user as row's class result.
Based on the delamination Teaching cource arrangement method that the above embodiment of the present invention provides, on the basis of genetic algorithm idea, knot
Row's class rule is closed, a set of timetabling algorithm drawn is continued to optimize, takes into account efficiency of algorithm and arithmetic result, and support flexible configuration
Iterations, population quantity, hybrid rate, aberration rate, result treat selected works quantity, the preferably parameters such as calculation formula, for different fields
Scape complexity can test the accuracy of automatic curriculum scheduling result by adjusting relevant parameter, both be avoided that because excessively pursuit is arranged
The perfection of class result and cause system-computed overlong time or without solution, be also avoided that the result for excessively loosely causing discharge because constraining
It is unsatisfactory.
The above embodiment of the present invention introduces row's class template conception, and template is separated with school timetable, and row's class carries out in template, and
The operations such as it can be replicated, be adjusted to template, after template adjustment is satisfied, using the i.e. renewable school timetable of this template, avoiding adjustment
Cause existing school timetable data variation during school timetable.
Fig. 3 is the schematic diagram of delamination Teaching cource arrangement method second embodiment of the present invention.Preferably, the present embodiment can be by this hair
Bright delamination Teaching row class device performs.Step 302-304 in Fig. 3 embodiments step 201- steps with Fig. 2 embodiments respectively
204 is same or similar, and I will not elaborate.As shown in figure 3, this method (step 104) i.e. in Fig. 1 embodiments can include with
Lower step：
Step 301, according to the input of teacher users and/or User, specific course is set in advance in consolidating for school timetable
Positioning is put.
Wherein, step 301 realizes a kind of walkthrough class function.Walkthrough class function is the preposition function of automatic curriculum scheduling, mesh
Be to ensure that some courses are expected to be distributed in school timetable without being influenced by system automatic curriculum scheduling according to user.The course of walkthrough is certainly
Dynamic row can ignore class hour automatically, this part is not covered or adjusted.
Step 302, according to the input of teacher users, row's class template, and the row's of setting class rule and rule prioritization are selected.
Step 303, according to row's class rule and rule prioritization, the curricula-variable information of User input is arranged automatically
Class.
Step 304, automatic curriculum scheduling result is applied to school timetable, obtains current school timetable.
Step 305, current school timetable is presented to teacher users；And according to the input of teacher users, current school timetable is carried out
Adjustment.
Wherein, step 305 is a kind of function of means row class.Manual curriculum scheduling be user under the constraint of system strict rule into
Pedestrian is a kind of method of row's class, and such method is a kind of comparison when row's class complexity is relatively low, artificial non-quantized more demanding
Feasible selection.System controls the constraint that strict rule is provided for row class teacher, while reminds user current inoperable
Conflict reason, and auxiliary user carries out autonomous row's class.
Step 306, using current school timetable as target school timetable.
Walkthrough class, automatic curriculum scheduling and manual curriculum scheduling are combined by the above embodiment of the present invention, and Trinity flexible combination is matched somebody with somebody
It closes a variety of strict rules and takes into account the regular power-assisted teacher short time and discharge preferable school timetable.
Row's class is to have to the work done, the reasonability and accuracy of row's class before each term teaching of school starts
Directly determine quality of instruction and the experience of Faculty and Students.Applicant is according to long-term row's class experience, by the quick of computer
Processing capacity has invented a kind of BS (Brower/Server, browser/server) row's class product based on web browser, this hair
Bright above-described embodiment is compared to CS (Client/Server, customer end/server mode) row's class software common in the art
It has the characteristics that：
Firstth, the above embodiment of the present invention can be operated in the case where there is network whenever and wherever possible, need not
Row's class software is installed.
Secondth, data can be rung with remote server in real time with Real-Time Sharing per single stepping in the above embodiment of the present invention
Should, cause data delay without uploading and avoiding the time.
3rd, the above embodiment of the present invention is based on browser software, suitable for different terminals.
4th, in the above embodiment of the present invention, as shown in figures 4 a and 4b, whole school's school timetable system is arranged, constantly school's school timetable, class
Grade school timetable, teacher's school timetable Multi-view display had not only taken into account macroscopic view and have arranged but also meet microcosmic adjustment.
5th, in the above embodiment of the present invention, elective course row class is verified and constantly unified with required course row's class View separation,
User's row's class environment unicity can be met, and the class error of the verification separation row of bringing can be avoided.
6th, in the above embodiment of the present invention, as shown in figure 5, course is distributed functions of indicator light, it is distributed and is indicated by course
Lamp can be visually seen the distribution and feature of some courses.
7th, in the above embodiment of the present invention, course buffering area function can cache current operation by course buffering area
Some courses, avoid forgeing.
Fig. 6 is the schematic diagram that one embodiment of the invention carries out the curricula-variable information that User inputs automatic curriculum scheduling.It is excellent
Choosing, the present embodiment can be performed by automatic curriculum scheduling module of the present invention.
The automatic curriculum scheduling method of the above embodiment of the present invention use genetic algorithm based on algorithm, herein on add on
The strict rule and the principle of optimality factor that the row's of stating class is used, a kind of new timetabling algorithm of formation.Genetic algorithm be called gene into
Change algorithm or evolution algorithm.Its principle is to simulate nature biotechnology evolutionary process by computer logic, and pole is solved to reach
The automation artificial intelligence technology of value.Genetic algorithm has borrowed the viewpoint of biogenetics, wins natural selection in science of heredity, loses
Pass, the central roles mechanism such as variation simulates the process that nature is stocked up, high degree improves the adaptability of hereditary individual, can be compared with
The evolution thought of " survival of the fittest in natural selection, the survival of the fittest " in good embodiment nature.
In the above embodiment of the present invention, population refers to the school timetable group being made of multiple school timetables.
Individual refers to a certain school timetable, and individual possesses can Individual Quality assessment feature.
Chromosome corresponds to class's school timetable in a school timetable, and entire school timetable is made of multiple class's school timetables, specific to contaminate
Colour solid quantity is determined by school classes quantity actual conditions.
Gene pairs answers a certain class in a school timetable, and gene dosage is determined by the daily schedule.
Hybridization refers to carry out a certain number of chromosome exchanges to two individuals, to form new hybrid individual, reaches and carry
The possibility of high Individual Quality assessed value.Corresponding be presented as chooses certain two school timetable, exchanges a certain number of class's school timetables, is formed
Two new school timetable offsprings.
Variation refers to, to some individual gene carry out order exchange of itself, to form new variation individual, reach raising
The possibility of Individual Quality assessed value.Corresponding be presented as chooses a certain school timetable, exchanges a certain number of lessons, forms variation class
Table.
Desired value, which refers to, carries out individual according to environment the assessed value that quality evaluation obtains, and is presented as that a school timetable meets row's class
The degree of every rule, desired value is higher to represent that school timetable distribution is more reasonable, otherwise more unreasonable.After hybridization or variation, computer
System chooses excellent individual and superseded worst individual according to candidate's school timetable desired value (i.e. Individual Quality assessed value).Individual Quality
Assessment is presented as on school timetable according to the priority of each rule in priority rule to form preferred calculation formula, finally according to excellent
Calculation formula is selected to carry out desired value calculating to each individual.
Optimal value refers to the optimum individual quality assessment value theoretically set, represents desired value and reaches the school timetable of the value and is exactly
The school timetable that we can come into operation.Computer system determines that individual survival is washed in a pan according to the difference of individual desired value and optimal value
It eliminates.In addition, according to biological evolution theory, living environment is more complicated, can adapt to the bion of environment completely often and be not present,
Therefore, when row's class condition is sufficiently complex, the school timetable of value can be optimal probably and be not present, at this point, system can be chosen
Desired value and the hithermost individual of optimal value are used as final result.
The generation of optimum individual could often occur by repeatedly evolution, and the colony quality evolved each time is higher,
The possibility that optimum individual occurs in offspring is bigger.Selection just refers to computer simulation natural environment evolutionary mechanism, from a population
In select higher initial population of the individual as genetic evolution next time of desired value, result of this selection is subsequently to hybridize
Group or candidate's parent of variation individual.
As shown in fig. 6, (i.e. step 203 in Fig. 2 embodiments or the step 303) in Fig. 3 embodiments can wrap this method
Include following steps：
Step 601, according to school and school district situation, daily schedule arrangement, class of grade quantity, course arrangement, Jiao Shiren
Class arrangement, student are put into several classes the schools such as result basic datas generation initial population.
In one embodiment of the invention, step 601 can include：It is randomly generated according to school's basic data including
The initial population X of two individuals of predetermined number m.
Wherein, the second predetermined number m is population scale, the probability size and population scale that are optimal value individual occurs
Size is directly proportional.But if scale is too big, it can lead to problems such as to calculate overlong time or calculate time-out, it is rational to set population rule
Mould is one of an important factor for row's class can succeed.
Step 602, each individual in initial population is screened according to row's class strict rule, obtains each individual
Meet the first population Z of row's class strict rule.
In one embodiment of the invention, step 602 can include：
Step 6021, the screening of row's class strict rule is carried out to initial population, the individual not being inconsistent normally is abandoned, and is filtered out full
N individual of sufficient row's class strict rule, wherein n≤m.
Step 6022, if n is less than m, m-n individual is generated according to school's basic data again, is strictly advised with meeting row's class
N individual composition initial population then, performs step 6021 afterwards.
Step 6023, if n is equal to m, the first population Z for including m individual for meeting row's class strict rule is generated, afterwards
Perform step 603.
Step 603, Individual Quality assessment is carried out to each individual in the first population Z according to row's class priority rule one by one,
Obtain the desired value of each individual.
Step 604, determine whether that the desired value of individual is optimal value.If the desired value of current individual is optimal
Value, then perform step 605；Otherwise, if optimal value is not achieved in the desired value of each individual in the first population Z, step is performed
Rapid 606.
Step 605, the desired value of current individual is optimal value, then the school timetable represented the individual is as automatic curriculum scheduling knot
Fruit exports；Other steps of the present embodiment are no longer performed afterwards.
Step 606, judge whether current iteration number reaches predetermined iterative value.It changes if current iteration number reaches predetermined
Generation value, then perform step 607；Otherwise, if predetermined iterative value is not achieved in current iteration number, step 608 is performed.
Wherein, the predetermined iterative value determines algorithm to seek the execution number that optimal solution repeats hybridization variation, goes out
The probability size for being now optimal value individual is directly proportional to iterations size.If iterations setting is excessive, also result in
The problems such as calculating overlong time or calculating time-out, for the guarantee automatic curriculum scheduling time and as a result, should be according to environment complexity and hardware
Equipment situation flexibly sets this value.
Step 607, the highest first predetermined number individual of desired value is selected from current population as automatic curriculum scheduling knot
Fruit exports；Other steps of the present embodiment are no longer performed afterwards.
Wherein, the first predetermined number treats selected works quantity for result, and system can choose the optimal individual specified number the most
Result set abandons other individuals, and the highest individual of current desired value is showed computer user, and user arranges if satisfied
Class terminates, if dissatisfied, system chooses the highest individual of desired value in result treats the remaining individual of selected works and continues to be presented to use
Family, until user is satisfied or treats selected works for sky.
Step 608, by the individual in the first population Z, desirably value carries out descending arrangement, selects the individual of predetermined ratio
Intersected and mutation operation, the population formed afterwards according to the individual after intersection and variation generate initial population, perform step
602。
In one embodiment of the invention, step 608 can include：
Step 6081, descending arrangement is carried out according to the desired value of m individuals in Z populations, therefrom choose desired value it is higher the
The preceding p individual of three predetermined numbers, forms new population L.
Wherein, the 3rd predetermined number and predetermined ratio determine the group that hybridization and variation behavior occur, and quantity or ratio are got over
Greatly, then hybridize and the behavior possibility occurrence that makes a variation is bigger, value and hybrid rate and aberration rate codetermine hybridization and variation hair
Raw probability.
Step 6082, according to setting hybrid rate, the individual met in the population L of hybridization conditions is allowed to be carried out according to Hybrid Algorithm
Hybridization, r new individuals of generation.
Wherein, setting hybrid rate is two individual probability of crossover, and whether two individuals, which carry out hybridization, is determined by hybrid rate
Fixed, it is assumed that current hybrid rate is 0.6, and a, b treat hybrid individual for two, and computer is compared by direct access and hybrid rate
It is right, if rand<0.6 a and b is hybridized.
Step 6082, according to setting aberration rate, the individual met in the population L of variation condition is allowed to be carried out according to mutation algorithm
Variation, s new individuals of generation.
Wherein, setting aberration rate is the mutation probability of single individual, and whether individual morphs is determined by aberration rate, false
If current aberration rate is 0.05, a individual to wait to make a variation, computer is compared by direct access and hybrid rate, if rand<
0.05, then a morph, otherwise will not make a variation.
Step 6083, new population (joint population M) is formed by r hybrid individual, t variation individual and forms initial population
X.That is, [m- (r+t)] individual is generated according to school's basic data, with combining population M composition initial population X, performs step afterwards
Rapid 602 (be specially step 6021).
The above embodiment of the present invention provide it is a kind of delamination Teaching, walk curricula-variable under class's class scene, row's class synthesis solves
Scheme, the program according to delamination Teaching, walk the business characteristic of class's class, consider curricula-variable, the resource of row's class and rule relation,
By effective ways such as the grouping of curricula-variable course, row's class rules practicable efficient traffic is provided for school curricula arrangement and planning
Strategy.The scheme of the above embodiment of the present invention has rationally taken into account schoolman, student, classroom, course resources, effectively combines work and rest
Time instructs school qualified teachers distribution, class's planning and student to put into several classes, and business game flow and regular flexibility and changeability, is applicable in
Different curricular systems and school's scene of Teaching characteristic inside and outside system.In addition, the scheme of the above embodiment of the present invention is effectively tied
Computer automatic algorithms and manual operation are closed, on the premise of artificial wish is flexibly met, reaching, which reduces teaching, answers
The basic goal of new education model is explored in miscellaneous degree and raising teaching efficiency and developing.
Fig. 7 is the schematic diagram of delamination Teaching row class device first embodiment of the present invention.As shown in fig. 7, the delamination Teaching
Row's class device can include row's class stencil-chosen module 71, automatic curriculum scheduling module 72, row's class result application module 73 and target class
Table determining module 74, wherein：
Row's class stencil-chosen module 71 for the input according to teacher users, selects row's class template, and the row's of setting class rule
And rule prioritization.
Automatic curriculum scheduling module 72, for according to row's class rule and rule prioritization, to User input curricula-variable information
Carry out automatic curriculum scheduling.
In one embodiment of the invention, automatic curriculum scheduling module 72 can be used for according to row's class rule and rule prioritization
Automatic curriculum scheduling is carried out to the curricula-variable information of User input, wherein row's class rule includes row's class strict rule and row's class is preferentially advised
Then.
Row's class result application module 73, for automatic curriculum scheduling result to be applied to school timetable, obtains current school timetable.
Target school timetable determining module 74, for using current school timetable as target school timetable.
Based on delamination Teaching row's class device that the above embodiment of the present invention provides, on the basis of genetic algorithm idea, knot
Row's class rule is closed, a set of timetabling algorithm drawn is continued to optimize, takes into account efficiency of algorithm and arithmetic result, and support flexible configuration
Iterations, population quantity, hybrid rate, aberration rate, result treat selected works quantity, the preferably parameters such as calculation formula, for different fields
Scape complexity can test the accuracy of automatic curriculum scheduling result by adjusting relevant parameter, both be avoided that because excessively pursuit is arranged
The perfection of class result and cause system-computed overlong time or without solution, be also avoided that the result for excessively loosely causing discharge because constraining
It is unsatisfactory.
The above embodiment of the present invention introduces row's class template conception, and template is separated with school timetable, and row's class carries out in template, and
The operations such as it can be replicated, be adjusted to template, after template adjustment is satisfied, using the i.e. renewable school timetable of this template, avoiding adjustment
Cause existing school timetable data variation during school timetable.
Fig. 8 is the schematic diagram of delamination Teaching row class device second embodiment of the present invention.Compared with embodiment illustrated in fig. 7,
In embodiment illustrated in fig. 8, the delamination Teaching row class device can also include manual curriculum scheduling module 75 and/or walkthrough class module
76, wherein：
Manual curriculum scheduling module 75 for automatic curriculum scheduling result to be applied to school timetable in row's class result application module 73, obtains
After current school timetable, current school timetable is presented to teacher users；And according to the input of teacher users, current school timetable is adjusted
It is whole.
Walkthrough class module 76 for the input in row's class stencil-chosen module 71 according to teacher users, selects row's class template
Before, according to the input of teacher users and/or User, specific course is set in advance in the fixed position of school timetable.
Walkthrough class, automatic curriculum scheduling and manual curriculum scheduling are combined by the above embodiment of the present invention, and Trinity flexible combination is matched somebody with somebody
It closes a variety of strict rules and takes into account the regular power-assisted teacher short time and discharge preferable school timetable.
Fig. 9 is the schematic diagram of one embodiment of the invention automatic curriculum scheduling module.As shown in figure 9, in Fig. 7 or Fig. 8 embodiments
Automatic curriculum scheduling module 72 can include initial population generation unit 721, strict rule screening unit 722, desired value obtain it is single
Member 723, row's class result output unit 724, iterations judging unit 725 and cross and variation unit 726, wherein：
Initial population generation unit 721, for generating initial population, wherein, population is the school timetable group of multiple school timetables composition
Body, individual are a school timetable.
In one embodiment of the invention, initial population generation unit 721 specifically can be used for according to school's basis number
Include m individual initial population of the second predetermined number according to generating.
Strict rule screening unit 722, for being sieved according to row's class strict rule to each individual in initial population
Choosing, obtains the first population Z that each individual is satisfied by row's class strict rule；
In one embodiment of the invention, as shown in Figure 10, strict rule screening unit 722 can specifically include screening
Submodule 7221, initial population completion submodule 7222 with the first all living creatures into submodule 7223, wherein：
Submodule 7221 is screened, for carrying out the screening of row's class strict rule to initial population, filters out that meet row's class stringent
N individual of rule, wherein n≤m.
In the case of being less than m in n, m-n is generated according to school's basic data again for initial population completion submodule 7222
Individual, the n individual composition initial population with meeting row's class strict rule, the submodule 7221 of instruction screening afterwards are performed to first
Beginning population carries out the operation of row's class strict rule screening.
The first all living creatures is into submodule 7223, and in the case of being equal to m in n, generation meets the bag of row's class strict rule
The first population Z of m individual is included, indicates that desired value acquiring unit 723 is performed according to row's class priority rule to the first population Z afterwards
In it is each individual carry out Individual Quality assessment operation.
Desired value acquiring unit 723, for carrying out individual to each individual in the first population Z according to row's class priority rule
Quality evaluation obtains the desired value of each individual.
Row's class result output unit 724, in the case of being optimal value in the desired value of current individual, by the individual
The school timetable of representative is exported as automatic curriculum scheduling result.
Optimal value is not achieved in iterations judging unit 725, the desired value for each individual in the first population Z
In the case of, judge whether current iteration number reaches predetermined iterative value；And reach the feelings of predetermined iterative value in current iteration number
Under condition, instruction row's class result output unit 724 is selected the highest first predetermined number individual of desired value from current population and is made
It is exported for automatic curriculum scheduling result.
Cross and variation unit 726, for the judging result according to iterations judging unit 725, in current iteration number
In the case of predetermined iterative value is not achieved, by the individual in the first population Z, desirably value carries out descending arrangement, selects predetermined ratio
The individual of example is intersected and mutation operation, and the population formed afterwards according to the individual after intersection and variation generates initial population,
And indicate that strict rule screening unit 722 (specially screening submodule 7221) is performed according to row's class strict rule to initial population
In the operation screened of each individual.
In one embodiment of the invention, cross and variation unit 726 is according to the individual composition after intersection and variation
When population generates initial population, specifically it can be used for using the individual amount after intersection and variation and as l, according to school's basis number
According to m-l individual is generated again, to form the initial population for including m individual, the submodule 7221 of instruction screening afterwards is performed to first
Beginning population carries out the operation of row's class strict rule screening.
Figure 11 is the schematic diagram of delamination Teaching Course-Selecting System one embodiment of the present invention.As shown in figure 11, the layering religion
Learning Course-Selecting System includes parameter setting apparatus 1, treats curricula-variable information display device 2, curricula-variable information receiver 3, at curricula-variable information
It manages device 7 and device 4 is presented in target school timetable, wherein：
Parameter setting apparatus 1, for receiving the student grouping of teacher users setting, participation in the election course and curricula-variable rule.
Curricula-variable information display device 2 is treated, for showing curriculum information to be selected to User.
Curricula-variable information receiver 3, for receiving the curricula-variable information of User input.
Curricula-variable information processing unit 7 for handling the curricula-variable information, obtains target school timetable.
In one embodiment of the invention, curricula-variable information processing unit 7 can be as above to state any embodiment (such as to scheme
7- Figure 10 any embodiments) described in delamination Teaching row's class device.
Device 4 is presented in target school timetable, for target school timetable to be presented to User and teacher users.
Based on the delamination Teaching Course-Selecting System that the above embodiment of the present invention provides, one kind is provided in delamination Teaching, the class of walking
Attend class curricula-variable, row's class comprehensive solution under scene, the program according to delamination Teaching, walk the business characteristic of class's class, synthesis is examined
Consider curricula-variable, the resource and rule relation of row's class, be school curricula arrangement by effective ways such as the grouping of curricula-variable course, row's class rules
Practicable efficient traffic strategy is provided with planning.The scheme of the above embodiment of the present invention has rationally been taken into account schoolman, has been learned
Life, classroom, course resources effectively combine the daily schedule, and school qualified teachers distribution, class's planning and student is instructed to put into several classes, and industry
Business strategic process and regular flexibility and changeability, suitable for different curricular systems inside and outside system and school's scene of Teaching characteristic.In addition,
The scheme of the above embodiment of the present invention effectively combines computer automatic algorithms and manual operation, and artificial wish is being flexibly met
Under the premise of, reach the root for reducing teaching complexity and improving teaching efficiency and developing exploration new education model
This purpose.
Parameter setting apparatus 1 described above, curricula-variable information receiver 3, curricula-variable information processing unit 7, layering
The functional units such as education course arrangement device can be implemented as performing the general processor of function described herein, may be programmed and patrol
Volume controller (PLC), digital signal processor (DSP), application-specific integrated circuit (ASIC), field programmable gate array (FPGA) or
Person other programmable logic device, discrete gate either transistor logic, discrete hardware components or it is arbitrary appropriately combined.
So far, the present invention is described in detail.In order to avoid the design of the masking present invention, it is public that this field institute is not described
Some details known.Those skilled in the art as described above, can be appreciated how to implement technology disclosed herein completely
Scheme.
One of ordinary skill in the art will appreciate that hardware can be passed through by realizing all or part of step of above-described embodiment
It completes, relevant hardware can also be instructed to complete by program, the program can be stored in a kind of computer-readable
In storage medium, storage medium mentioned above can be read-only memory, disk or CD etc..
Description of the invention provides for the sake of example and description, and is not exhaustively or by the present invention
It is limited to disclosed form.Many modifications and variations are obvious for the ordinary skill in the art.It selects and retouches
It states embodiment and is to more preferably illustrate the principle of the present invention and practical application, and those of ordinary skill in the art is enable to manage
The present invention is solved so as to design the various embodiments with various modifications suitable for special-purpose.
Claims (14)
1. a kind of delamination Teaching cource arrangement method, which is characterized in that including：
According to the input of teacher users, row's class template, and the row's of setting class rule and rule prioritization are selected；
According to row's class rule and rule prioritization, automatic curriculum scheduling is carried out to the curricula-variable information of User input；
Automatic curriculum scheduling result is applied to school timetable, obtains current school timetable；
Using current school timetable as target school timetable.
2. delamination Teaching cource arrangement method according to claim 1, which is characterized in that
It is described that automatic curriculum scheduling result is applied to school timetable, after obtaining current school timetable, further include：
Current school timetable is presented to teacher users；
According to the input of teacher users, current school timetable is adjusted；
And/or
The input according to teacher users before selecting row's class template, further includes：
According to the input of teacher users and/or User, specific course is set in advance in the fixed position of school timetable.
3. delamination Teaching cource arrangement method according to claim 1 or 2, which is characterized in that described according to row's class rule and rule
Then priority, carrying out automatic curriculum scheduling to the curricula-variable information of User input includes：
Using genetic algorithm, the curricula-variable information that User inputs is arranged automatically according to row's class rule and rule prioritization
Class, wherein row's class rule include row's class strict rule and row's class priority rule.
4. delamination Teaching cource arrangement method according to claim 3, which is characterized in that it is described using genetic algorithm, according to row
Class rule and rule prioritization carry out automatic curriculum scheduling to the curricula-variable information that User inputs to be included：
Initial population is generated, wherein, population is the school timetable group of multiple school timetables composition, and individual is a school timetable；
Each individual in initial population is screened according to row's class strict rule, obtaining each individual, to be satisfied by row's class stringent
First population of rule；
Individual Quality assessment is carried out to each individual in the first population according to row's class priority rule, obtains the expectation of each individual
Value；
If the desired value of current individual is optimal value, exported the school timetable that the individual represents as automatic curriculum scheduling result；
If optimal value is not achieved in the desired value of each individual in the first population, judge whether current iteration number reaches pre-
Determine iterative value；
If current iteration number reaches predetermined iterative value, highest first predetermined number of desired value is selected from current population
Individual is exported as automatic curriculum scheduling result；
If predetermined iterative value is not achieved in current iteration number, by the individual in the first population, desirably value carries out descending row
Row select the individual of predetermined ratio to be intersected and mutation operation, the population formed afterwards according to the individual after intersection and variation
Initial population is generated, performs the step of being screened according to row's class strict rule to each individual in initial population.
5. delamination Teaching cource arrangement method according to claim 4, which is characterized in that the generation initial population includes：
Include the initial population of m individual of the second predetermined number according to school's basic data generation；
It is described that each individual in initial population is screened according to row's class strict rule, it obtains each individual and is satisfied by row's class
First population of strict rule includes：
The screening of row's class strict rule is carried out to initial population, filters out n individual for meeting row's class strict rule, wherein n≤m；
If n is less than m, m-n individual, the n group of individuals with meeting row's class strict rule are generated according to school's basic data again
Into initial population, the step of screening of row's class strict rule is carried out to initial population is performed afterwards；
If n is equal to m, the first population for including m individual for meeting row's class strict rule is generated, is performed afterwards excellent according to row's class
The step of first rule carries out Individual Quality assessment to each individual in the first population；
The step of population that the individual according to after intersection and variation forms generates initial population includes：
Using the individual amount after intersection and variation and as l, m-l individual is generated according to school's basic data again, to form bag
Initial population containing m individual performs the step of screening of row's class strict rule is carried out to initial population afterwards.
A kind of 6. delamination Teaching curricula-variable method, which is characterized in that including：
Receive student grouping, participation in the election course and curricula-variable rule that teacher users are set；
Curriculum information to be selected is shown to User；
Receive the curricula-variable information of User input；
The curricula-variable information is handled, obtains target school timetable；
Target school timetable is presented to User and teacher users.
7. delamination Teaching curricula-variable method according to claim 6, which is characterized in that it is described that curricula-variable information is handled,
Obtaining target school timetable includes：Delamination Teaching cource arrangement method as any one of claim 1-5.
8. a kind of delamination Teaching row class device, which is characterized in that including row's class stencil-chosen module, automatic curriculum scheduling module, row's class
As a result application module and target school timetable determining module, wherein：
Row's class stencil-chosen module for the input according to teacher users, selects row's class template, and the row's of setting class rule and rule
Priority；
Automatic curriculum scheduling module, for according to row's class rule and rule prioritization, being carried out certainly to the curricula-variable information of User input
Dynamic row's class；
Row's class result application module, for automatic curriculum scheduling result to be applied to school timetable, obtains current school timetable；
Target school timetable determining module, for using current school timetable as target school timetable.
9. delamination Teaching row class device according to claim 8, which is characterized in that further include manual curriculum scheduling module and/or
Walkthrough class module, wherein：
Manual curriculum scheduling module for automatic curriculum scheduling result to be applied to school timetable in row's class result application module, obtains current school timetable
Afterwards, current school timetable is presented to teacher users；And according to the input of teacher users, current school timetable is adjusted.
Walkthrough class module, for the input in row's class stencil-chosen module according to teacher users, before selecting row's class template, according to
Specific course is set in advance in the fixed position of school timetable by the input of teacher users and/or User.
10. delamination Teaching row's class device according to claim 8 or claim 9, which is characterized in that
Automatic curriculum scheduling module is used to carry out the curricula-variable information that User inputs according to row's class rule and rule prioritization automatic
Row's class, wherein row's class rule include row's class strict rule and row's class priority rule.
11. delamination Teaching row class device according to claim 10, which is characterized in that automatic curriculum scheduling module includes initial kind
Group's generation unit, strict rule screening unit, desired value acquiring unit, row's class result output unit, iterations judging unit
With cross and variation unit, wherein：
Initial population generation unit, for generating initial population, wherein, population is the school timetable group of multiple school timetables composition, individual
For a school timetable；
Strict rule screening unit for being screened according to row's class strict rule to each individual in initial population, obtains
Each individual is satisfied by the first population of row's class strict rule；
Desired value acquiring unit is commented for carrying out Individual Quality to each individual in the first population according to row's class priority rule
Estimate, obtain the desired value of each individual；
In the case of being optimal value in the desired value of current individual, which is represented for row's class result output unit
School timetable is exported as automatic curriculum scheduling result；
Iterations judging unit, in the case that optimal value is not achieved in each individual desired value in the first population,
Judge whether current iteration number reaches predetermined iterative value；And in the case where current iteration number reaches predetermined iterative value, refer to
Show that row's class result output unit selects the highest first predetermined number individual of desired value as automatic curriculum scheduling from current population
As a result export；
Cross and variation unit for the judging result according to iterations judging unit, is not achieved predetermined in current iteration number
In the case of iterative value, by the first population individual desirably value carry out descending arrangement, select predetermined ratio individual into
Row intersects and mutation operation, and the population formed afterwards according to the individual after intersection and variation generates initial population, and indicates stringent
The operation that the execution of Rules Filtering unit screens each individual in initial population according to row's class strict rule.
12. delamination Teaching row class device according to claim 11, which is characterized in that
Initial population generation unit is used for initial kind that includes m individual of the second predetermined number according to school's basic data generation
Group；
Strict rule screening unit includes screening submodule, initial population completion submodule and the first all living creatures into submodule,
In：
Submodule is screened, for carrying out the screening of row's class strict rule to initial population, filters out meet row's class strict rule n
Individual, wherein n≤m；
In the case of being less than m in n, m-n individual is generated according to school's basic data again for initial population completion submodule,
The n individual composition initial population with meeting row's class strict rule, the submodule of instruction screening afterwards, which performs, carries out initial population
The operation of row's class strict rule screening；
The first all living creatures is into submodule, and in the case of being equal to m in n, generation meets the individual including m of row's class strict rule
The first population, indicate afterwards desired value acquiring unit perform according to row's class priority rule to each individual in the first population into
The operation of row Individual Quality assessment；
Cross and variation unit according to after intersection and variation individual form population generate initial population when, for will intersect with
Individual amount after variation and as l, m-l individual is generated according to school's basic data again, with form include m it is individual at the beginning of
Beginning population, the submodule execution of instruction screening afterwards carry out initial population the operation of row's class strict rule screening.
13. a kind of delamination Teaching Course-Selecting System, which is characterized in that including parameter setting apparatus, treat curricula-variable information display device, choosing
Device is presented in class information receiver, curricula-variable information processing unit and target school timetable, wherein：
Parameter setting apparatus, for receiving the student grouping of teacher users setting, participation in the election course and curricula-variable rule；
Curricula-variable information display device is treated, for showing curriculum information to be selected to User；
Curricula-variable information receiver, for receiving the curricula-variable information of User input；
Curricula-variable information processing unit for handling the curricula-variable information, obtains target school timetable；
Device is presented in target school timetable, for target school timetable to be presented to User and teacher users.
14. delamination Teaching Course-Selecting System according to claim 13, which is characterized in that curricula-variable information processing apparatus is set to such as power
Profit requires delamination Teaching row's class device any one of 8-12.
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Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109064122A (en) * | 2018-07-13 | 2018-12-21 | 郑州轻工业学院 | Course arrangement method and computer-readable medium based on artificial intelligence |
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| CN109961226A (en) * | 2019-03-22 | 2019-07-02 | 深圳市倍思教育科技有限公司 | Cource arrangement method, device, computer equipment and storage medium |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102222155A (en) * | 2010-12-14 | 2011-10-19 | 贾永鑫 | Method for high-efficiency class grouping and course scheduling in multi-restraint condition |
| CN103164822A (en) * | 2012-12-11 | 2013-06-19 | 魏勇 | Open-ended educational management system framework |
| CN104462079A (en) * | 2013-09-12 | 2015-03-25 | 郑州学生宝电子科技有限公司 | Method of informationized class-grouping and course-arranging based on weighted optimization algorithm |
| CN105654405A (en) * | 2016-03-22 | 2016-06-08 | 魏勇 | Course arrangement method and device |
-
2016
- 2016-11-30 CN CN201611092484.2A patent/CN108122179A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102222155A (en) * | 2010-12-14 | 2011-10-19 | 贾永鑫 | Method for high-efficiency class grouping and course scheduling in multi-restraint condition |
| CN103164822A (en) * | 2012-12-11 | 2013-06-19 | 魏勇 | Open-ended educational management system framework |
| CN104462079A (en) * | 2013-09-12 | 2015-03-25 | 郑州学生宝电子科技有限公司 | Method of informationized class-grouping and course-arranging based on weighted optimization algorithm |
| CN105654405A (en) * | 2016-03-22 | 2016-06-08 | 魏勇 | Course arrangement method and device |
Non-Patent Citations (1)
| Title |
|---|
| 杨小兵: "《中国优秀硕士学位论文全文数据库 信息科技辑》", 15 February 2012 * |
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