CN106875309A - A kind of course recommends method and system - Google Patents
A kind of course recommends method and system Download PDFInfo
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- CN106875309A CN106875309A CN201710213226.3A CN201710213226A CN106875309A CN 106875309 A CN106875309 A CN 106875309A CN 201710213226 A CN201710213226 A CN 201710213226A CN 106875309 A CN106875309 A CN 106875309A
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Abstract
A kind of course of the present invention recommends method and system, by setting up teacher pond, the teacher of same course of giving lessons is classified by the achievement interval standard of setting, meets the interval student's needs of different achievements, maximizes realization and teaches students in accordance with their aptitude.The student for participating in course can score teacher, an objectively dynamic examination be carried out to teacher, for the student of follow-up curricula-variable provides reference.Student information includes more comprehensive student's personal information, the arrangement statistics of the grade's necessary course of information generation according to input, reduces the step of being manually entered course.Historical Results according to each section retrieve the combination of teacher from teacher pond, find the teacher of suitable oneself achievement, and according to sex, the teacher of suitable this sex of selection accomplishes the maximized matching of teacher and student.
Description
Technical field
The present invention relates to computer terminal network multimedia education sector, and in particular to a kind of online course recommendation side
Method and system.
Background technology
With the fast development of the development of Internet technology, particularly mobile Internet.Online education, as modern tradition
A kind of supplement of education, development scale grows stronger day by day.Online education has advantages below：1. alternative, student can basis
Itself needs or hobby independently selects corresponding course, selection course simple and fast.2. learning and communication scope is expanded, online
The tradition of fixed class member in the past is broken in study, can converge many students with a common goal together, further expands
The learning and communication scope of student.3. educational resource is more fair, when teacher gives lessons online, will not be because of position of the student in class
Put distance to cause to receive the interference of knowledge, give the educational opportunities of all student's equalitys.Can be in student's free time, for the palm
The knowledge for holding relatively shortcoming carries out mending-leakage of filling a vacancy.Based on above-mentioned advantage, online education is increasingly subject to the welcome of student and parent, related
Online education technology be also evolving it is perfect.
In the prior art, Chinese patent literature public affairs CN102508846 has opened a kind of recommendation of network Media Courseware
Method and system.The technical scheme includes：System end analyzes courseware attribute or user to courseware learning behavior data, obtains class
Part is applicable attribute information；The personal basic studies attribute information of system end analysis user or the courseware learning behavior number of user
According to determining user preference information；Attribute information and user preference information are applicable according to courseware, retrieval is applicable the courseware of user learning
List；Courseware list of the user terminal to being matched from system end retrieval, display is arranged according to the matching degree for being applicable user learning.
The recommendation method and system of network Media Courseware are provided by the present invention, to meet user individual learning demand, with
And according to the different user study condition differentiation learning demand different with progress, effectively improve and recommend to be applicable course to user
The precision and accuracy of object, facilitate user to be quickly found out suitable oneself learning teaching courseware.The technical scheme is only for courseware
Recommend, and the foundation recommended is only related to user preference behavior.Different courses has different teachers, same course
There are different teachers, different teachers is adapted to different audient students, how to match a suitable teacher, ability
Preferably improve learning efficiency.
The content of the invention
Therefore, the technical problems to be solved by the invention are only to recommend teaching courseware in the prior art, without for
Raw situation recommends suitable teacher.
In order to solve the above technical problems, the technical scheme is that:
A kind of course recommends method, comprises the steps of：
Teacher pond is set up, course education is sorted out by giving lessons, carried out by setting achievement interval standard under same course of giving lessons
Distinguish and sort out；
Teachers'action scoring is set, and each student for participating in course scores teacher, each religion is counted
The scoring of teacher, and update scoring at setting time interval；
The student information of input is received, the student information is included：Name, grade, each course Historical Results, sex；
Retrieved according to grade's information, generated the arrangement statistics of each necessary course；
According to each course Historical Results, the combination of the teacher of each necessary course is retrieved from teacher pond；
According to sex, sex student scoring highest teacher is filtered out from the combination of the teacher for retrieving, and
Sorted according to scoring height；
Emergent Curriculum recommendation tables, comprising be necessary course, and the teacher's recommendation comprising each course；
Receive course recommendation tables and show.
The student information is also included：Additional information, additional information is：Interest selections, personality option.
A kind of described course recommends method, further includes：
According to the student information of input, matching object is found, the highland according to student information similarity is scored.
Also include：Student information similarity score student information higher is mutually recommended.
A kind of Course Recommendation System, comprising：Central server, operation terminal；
Central server, further includes：
Teacher management module, sets up teacher pond, and by giving lessons, course education is sorted out, by setting achievement under same course of giving lessons
Interval standard makes a distinction classification；
Teacher's grading module, sets teachers'action scoring, and each student for participating in course scores teacher,
The scoring of each teacher is counted, and scoring is updated at setting time interval；
Transceiver module, receives the student information that operation terminal sends, and the student information is included：Name, grade, each course history
Achievement, sex；
First retrieval module, is retrieved according to grade's information, generates the arrangement statistics of each necessary course；
Second retrieval module, according to each course Historical Results, retrieves the group of the teacher of each necessary course from teacher pond
Close；
Order module, according to sex, sex student is filtered out in the combination of the teacher retrieved from the second retrieval module
Scoring highest teacher, and sorted according to scoring height；
The data of the first retrieval module and order module are entered row set Emergent Curriculum recommendation tables by recommendation tables generation module, comprising
Be necessary course, and the recommendation of the teacher comprising each course, and transfer to transceiver module to send to the operation terminal；
Operation terminal, comprising communication module, Operation display module；Wherein
Communication module, the student information of input is sent to the transceiver module of the central server；Receive the transceiver module
The course recommendation tables of transmission；
Operation display module, is input into student information, shows course recommendation tables.
The student information is also included：Additional information, additional information is：Interest selections, personality option.
The central server is also included：
Grading module, according to the student information of input, finds matching object, according to student information phase in student mutually of the same grade
Scored like the highland of degree.
The central server is also included：
Recommending module, is grouped by student information similarity score, and the student information similarity score in packet is higher
Student information is mutually recommended.
A kind of course recommendation server, comprising：
Teacher management module, sets up teacher pond, and by giving lessons, course education is sorted out, by setting achievement under same course of giving lessons
Interval standard makes a distinction classification；
Teacher's grading module, sets teachers'action scoring, and each student for participating in course scores teacher,
The scoring of each teacher is counted, and scoring is updated at setting time interval；
Transceiver module, receives student information, and the student information is included：Name, grade, each course Historical Results, sex；
First retrieval module, is retrieved according to grade's information, generates the arrangement statistics of each necessary course；
Second retrieval module, according to each course Historical Results, retrieves the group of the teacher of each necessary course from teacher pond
Close；
Order module, according to sex, sex student is filtered out in the combination of the teacher retrieved from the second retrieval module
Scoring highest teacher, and sorted according to scoring height；
The data of the first retrieval module and order module are entered row set Emergent Curriculum recommendation tables by recommendation tables generation module, comprising
Be necessary course, and the recommendation of the teacher comprising each course.
A kind of described course recommendation server, also includes：
Grading module, according to the student information of input, finds matching object, according to student information phase in student mutually of the same grade
Scored like the highland of degree；
Recommending module, is grouped by student information similarity score, and the student information similarity score in packet is higher
Student information is mutually recommended.
Above-mentioned technical proposal of the invention has advantages below compared to existing technology：
1. a kind of course of the present invention recommends method and system, by setting up teacher pond, by the teacher of same course of giving lessons
Classified by the achievement interval standard of setting, met the interval student's needs of different achievements, maximized realization and teach students in accordance with their aptitude.Ginseng
Student with course can be scored teacher, and an objectively dynamic examination is carried out to teacher, be follow-up curricula-variable
Student provides reference.Student information includes more comprehensive student's personal information, the grade's necessary class of information generation according to input
The arrangement statistics of journey, reduces the step of being manually entered course.Historical Results according to each section retrieve religion of giving lessons from teacher pond
The combination of teacher, finds the teacher of suitable oneself achievement, and according to sex, the teacher of suitable this sex of selection, accomplish teacher with
The maximized matching of student.
2. a kind of course of the present invention recommends method and system, student information also to be selected comprising interest selections and personality
The additional information of item, can allow backstage more preferably to enrich the data type of student information, for follow-up other statistical analyses provide data
Support.
3. a kind of course of the present invention recommends method and system, is calculated by the student information data collected,
Student information similarity is calculated, similar student is found out, is sorted out, convenient follow-up offer value-added service.
4. a kind of course of the present invention recommends method and system, and similarity score student information higher is carried out
Mutually recommend, it is proposed that related student sets up learning interest group, while school grade is improved, expand the social activity of oneself.
5. a kind of course recommendation server of the present invention, by setting up teacher pond, by the teacher of same course of giving lessons
Classified by the achievement interval standard of setting, met the interval student's needs of different achievements, maximized realization and teach students in accordance with their aptitude.Ginseng
Student with course can be scored teacher, and an objectively dynamic examination is carried out to teacher, be follow-up curricula-variable
Student provides reference.Student information includes more comprehensive student's personal information, the grade's necessary class of information generation according to input
The arrangement statistics of journey, reduces the step of being manually entered course.Historical Results according to each section retrieve religion of giving lessons from teacher pond
The combination of teacher, finds the teacher of suitable oneself achievement, and according to sex, the teacher of suitable this sex of selection, accomplish teacher with
The maximized matching of student.
6. a kind of course recommendation server of the present invention, student information is also comprising interest selections and personality option
Additional information, can allow backstage more preferably to enrich the data type of student information, for follow-up other statistical analyses provide data supporting.
Calculated by the student information data collected, calculated student information similarity, found out similar student, sorted out,
Convenient follow-up offer value-added service.
Brief description of the drawings
In order that present disclosure is more likely to be clearly understood, below according to specific embodiment of the invention and combine
Accompanying drawing, the present invention is further detailed explanation, wherein
Fig. 1 is a kind of flow chart of course recommendation method of the embodiment of the present invention 1；
Fig. 2 is a kind of structured flowchart of Course Recommendation System of the embodiment of the present invention 1.
Reference is expressed as 1- central servers in figure；11- teacher management modules；12- teacher's grading module；13- is received
Hair module；14- first retrieves module；15- second retrieves module；16- order modules；17- recommendation tables generation modules；18- scores
Module；19- recommending modules；2- operates terminal；21- operates terminal；22- Operation display modules.
Specific embodiment
Embodiment 1
It is shown in Figure 1, it is that a kind of course of one embodiment of the invention recommends method, comprise the steps of：
Teacher pond is set up, course education is sorted out by giving lessons, carried out by setting achievement interval standard under same course of giving lessons
Distinguish and sort out.Such as sorted out and stored in memory by Chinese language, mathematics, English, chemistry, history etc. subject.It is each
An independent storage is interval during individual classification takes memory, it is to avoid storage failure causes the large area data cannot to recover.Often
Under one classification, such as under this classification of Chinese language, it is divided into：Big group of primary school, big group of middle school, group, such as primary school one are further divided into by grade
Grade, middle school's second grade etc..Teacher is classified by achievement interval under per a small group.For example：Chinese language-primary school-
Second grade-{ 0-60 } achievement is interval：1. teacher Li；2. teacher Wang；3. Mr. Zhang ... ...Mathematics-middle school-junior three-{ 91-
100 } achievement is interval：1. fourth teacher；2. money teacher；3. teacher Meng ... ...Etc..
Teachers'action scoring is set, and each student for participating in course scores teacher, counts each
The scoring of position teacher, and scoring is updated at setting time interval, by counting statistics setting time section（One month or a season
Degree or a term）Average score and update.Meanwhile, scoring is anonymous, and teacher cannot see scoring object.Comment
Graduation is following option：1. achievement improves fraction；2. teachers' instruction vividness；3. teacher actively teaches enthusiasm；4. teacher makees
Industry it is rich.It is 0-5 per item rating.Test every time, achievement often improves 5 points of scoring fractions plus 1, for example, improve 20 points, then
The scoring that this gives teacher is 4.Once, scoring fraction adds 0.5 to the auxiliary road student of teacher's active.Such as participating in course process
In, the auxiliary road student of teacher 8 times, then the student teacher is actively taught enthusiasm scoring be 4 points.Remaining 2 item ratings
It is subjective scoring, scoring is judged according to itself by student.Scored from aforementioned four dimension, be finally added and obtain total score,
And participation is compared.Scoring is updated at setting time interval, the time of teacher's change is left for, teacher is supervised for deficiency
Project is lifted, and then promotes the benign competition between teacher.
The student information of input is received, the student information is included：Name, grade, each course Historical Results, sex.
Retrieved according to grade's information, generated the arrangement statistics of each necessary course.Such as need to participate in course:Chinese language, number
, physics, chemistry, biology etc..
According to each course Historical Results, the combination of the teacher of each necessary course is retrieved from teacher pond.For example：Number
- middle school-the junior three-{ 91-100 } achievement is interval：1. fourth teacher；2. money teacher；3. teacher Meng.Chinese language-middle school-just
Three-{ 71-90 } achievements are interval：1. teacher Wang；2. old teacher；3. teacher Ouyang.Etc..Wherein every teacher encloses teacher
Introduce and teachers'action scoring.
According to sex, sex student scoring highest is filtered out from the combination of the teacher for retrieving and is given lessons religion
Teacher, and sorted according to scoring height.Such as mathematics-middle school-junior three-{ 91-100 } achievement is interval-welcome journey by schoolboy
Degree（There is no basic sex reversal in this condition of achievement interval）：1. money teacher；2. fourth teacher；3.Teacher Meng.
Emergent Curriculum recommendation tables, comprising be necessary course, and the teacher's recommendation comprising each course.
Receive course recommendation tables and show.Represent in a tabular form.Shown on such as form：Chinese language, mathematics, English, change
, physics etc..Click on " Chinese language ", expansion is：1. teacher Wang；2. old teacher；3. fourth teacher.Shown below teacher's name
There is the dynamic grading of teacher.
The student information is also included：Additional information, additional information is：Interest selections, personality option.Interest selections bag
Contain：" musical instrument ", " motion ", " singing ", " dancing ", " reading " option, it is allowed to multiselect.Personality option is included：" active optimistic ",
" sedate containing ", only allows single choice.
A kind of described course recommends method, further includes：
According to the student information of input, matching object is found, the highland according to student information similarity is scored.First per year
Level is classified all students, is then classified by sex, is then classified by each course achievement, by each course achievement
Some intervals are divided into, every 10 points is an interval, such as 61-70 points is a class interval；71-80 points is a classification area
Between, by that analogy.By inner male and female students difference statistical computation of the same grade.According to each course achievement for obtaining, automatically will be of the same grade
Interval belonging to score of each subject is divided in man, schoolgirl.And calculate the interval student of identical course, computation rule：With one
The degree of correlation between individual interval then two students of identical course is 10 points.With identical interest selections, each is 5 points, is had
Identical personality option, each is 10 points.For example：Zhang San, Chinese language 65, mathematics 71, chemistry 88, English 61, physics 91.Interest is selected
：" motion ", " singing "；Personality option：" active optimistic ".Li Si is found through statistics：Chinese language 71, mathematics 75, chemistry 89, English
66th, physics 93.Interest selections " reading ", " motion ".Personality option：" sedate containing ".King five：Chinese language 88, mathematics 82, chemistry
88th, English 62, the interest selections of physics 93.：" motion ", " singing "；Personality option " active optimistic ".By taking Zhang San as an example, Li Siyu
The similarity of Zhang San is 45, and king five is 55 with the phase knowledge and magnanimity of Li Si.Counting statistics is carried out in this approach, and from high to low, is selected
Setting quantity（E.g. 4 students）.A scoring for student information similarity can be carried out with halves, one is carried out before the new term begins
Secondary scoring.
Also include：Student information similarity score student information higher is mutually recommended.Such as press fraction just
The personal information of king five, Li Si, money seven, grandson two is recommended into student's account of Zhang San by the form of pushed information.By Zhang San,
Li Si, grandson two, the personal information of money seven recommend king five by the form of pushed information.And can set and forbid recommending others
To oneself, forbid for oneself recommending others, it is to avoid some malice are harassed.
A kind of course of the present invention recommends method, by setting up teacher pond, by the teacher of same course of giving lessons by setting
Fixed achievement interval standard is classified, and meets the interval student's needs of different achievements, is maximized realization and is taught students in accordance with their aptitude.Participation class
The student of journey can be scored teacher, and an objectively dynamic examination is carried out to teacher, be the student of follow-up curricula-variable
Reference is provided.Student information includes more comprehensive student's personal information, the grade's necessary course of information generation according to input
Arrangement statistics, reduces the step of being manually entered course.Historical Results according to each section retrieve teacher's from teacher pond
Combination, finds the teacher of suitable oneself achievement, and according to sex, the teacher of suitable this sex of selection accomplishes teacher and student
Maximized matching.Calculated by big data, by comprehensively calculating, not only only consider the achievement of student, match phase
As student, and encourage similar student to set up study group.
Embodiment 2
It is shown in Figure 2, it is a kind of Course Recommendation System of one embodiment of the invention, comprising：At least one central server
1st, at least one operation terminal 2.
Central server 1, can further be included using hardware support based on server of the prior art：
Teacher management module 11, sets up teacher pond, and by giving lessons, course education is sorted out, by being set under same course of giving lessons
Achievement interval standard makes a distinction classification.Such as sorted out and stored by Chinese language, mathematics, English, chemistry, history etc. subject
In memory.An independent storage is interval during each classification takes memory, it is to avoid storage failure causes large area number
According to cannot recover.Under each classification, such as under this classification of Chinese language, it is divided into：Big group of primary school, big group of middle school, are further divided into by grade
Group, such as first grade of primary school, middle school's second grade.Teacher is classified by achievement interval under per a small group.For example：
Chinese language-middle school-high by two-{ 0-60 } achievement is interval：1. fourth teacher；2. old teacher；3. teacher Qiu ... ...Mathematics-middle school-
High by three-{ 71-80 } achievement is interval：1. Mr. Zhang；2. teacher Zhu；3. teacher Yang ... ...Etc..
Teacher's grading module 12, sets teachers'action scoring, receives each participation course that operation terminal 2 sends
Student teacher is scored, collection count each teacher scoring, and setting time interval update scoring, lead to
Cross counting statistics setting time section（One month or a season or a term）Average score and update.Meanwhile, comment
It is anonymous to divide, and teacher cannot see scoring object.Scoring divides following option into：1. achievement improves fraction；2. teacher awards
Class vividness；3. teacher actively teaches enthusiasm；4. teacher's operation is rich.It is 0-5 per item rating.Test, achievement every time
Often improve 5 points of scoring fractions and add 1, for example, improve 20 points, then the scoring that this gives teacher is 4.The auxiliary road student of teacher's active
Once, scoring fraction adds 0.5.Such as during course is participated in, the auxiliary road student of teacher 8 times, then the student is to teacher
The scoring for actively teaching enthusiasm is 4 points.Remaining 2 item ratings are subjective scoring, and scoring is judged according to itself by student.From upper
State four dimensions to be scored, be finally added and obtain total score, and participation is compared.Scoring is updated at setting time interval, is left for and is awarded
The time that class teacher changes, supervise teacher to be directed to not enough project and lifted, and then promote the benign competition between teacher.
Transceiver module 13, receives the student information that operation terminal sends, and the student information is included：Name, grade, each class
Journey Historical Results, sex.
First retrieval module 14, is retrieved according to grade's information, generates the arrangement statistics of each necessary course.Such as need ginseng
With course:Three Chinese language high, three mathematics high, three physics high, high three chemical, high three three English biological, high etc..
Second retrieval module 15, according to each course Historical Results, retrieves the religion of giving lessons of each necessary course from teacher pond
The combination of teacher.For example：Mathematics-middle school-junior three-{ 91-100 } achievement is interval：1. fourth teacher；2. money teacher；3. teacher Meng.
Chinese language-middle school-junior three-{ 71-90 } achievement is interval：1. teacher Wang；2. old teacher；3. teacher Ouyang.Etc..Wherein every
Teacher encloses teacher and introduces and teachers'action scoring.
Order module 16, according to sex, this is filtered out in the combination of the teacher retrieved from the second retrieval module 15
Sex student scoring highest teacher, and sorted according to scoring height.Such as mathematics-middle school-junior three-{ 91-100 }
Achievement interval-receive schoolboy's ratings（There is no basic sex reversal in this condition of achievement interval）：1. money teacher；2. fourth is old
Teacher；3.Teacher Meng.
The data of the first retrieval module 14 and order module 16 are entered row set Emergent Curriculum and pushed away by recommendation tables generation module 17
Table is recommended, comprising be necessary course, and teacher comprising each course recommends, and transfer to transceiver module 13 to send to described
Operation terminal 2.
Operation terminal 2, can use hardware support based on panel computer of the prior art, mobile phone, computer, comprising
Communication module 21, Operation display module 22；Wherein
Communication module 21, the student information of input is sent to the transceiver module 13 of the central server 1；Receive the transmitting-receiving
The course recommendation tables that module 13 sends.
Operation display module 22, is input into student information.Display course recommendation tables.Represent in a tabular form.On such as form
Display：Chinese language, mathematics, English, chemistry, physics etc..Click on " Chinese language ", expansion is：1. teacher Wang；2. old teacher；3. fourth
Teacher.The dynamic grading of teacher is shown below teacher's name.
The student information is also included：Additional information, additional information is：Interest selections, personality option.Interest selections bag
Contain：" musical instrument ", " motion ", " singing ", " dancing ", " reading " option, it is allowed to multiselect.Personality option is included：" active optimistic ",
" sedate containing ", only allows single choice.
The central server is also included：
Grading module 18, this is that a big data calculates center module, according to the student information of input, in student mutually of the same grade
Middle to find matching object, the highland according to student information similarity is scored.All students are classified by grade first,
Then classified by sex, then classified by each course achievement, each course achievement is divided into some intervals, every 10 points
It is an interval, such as 61-70 is a class interval；71-80 is a class interval, by that analogy.By inner man of the same grade
Schoolgirl distinguishes statistical computation.According to each course achievement for obtaining, automatically by the affiliated area of score of each subject in man of the same grade, schoolgirl
Between divided.And calculate the interval student of identical course, computation rule：With interval then two students of an identical course it
Between the degree of correlation be 10 points.With identical interest selections, each is 5 points, and with identical personality option, each is 10 points.
For example：Zhang San, Chinese language 65, mathematics 71, chemistry 88, English 61, physics 91.Interest selections：" motion ", " singing "；Personality option：
" active optimistic ".Li Si is found through statistics：Chinese language 71, mathematics 75, chemistry 89, English 66, physics 93.Interest selections " reading ",
" motion ".Personality option：" sedate containing ".King five：Chinese language 88, mathematics 82, chemistry 88, English 62, the interest selections of physics 93.：
" motion ", " singing "；Personality option " active optimistic ".By taking Zhang San as an example, the similarity of Li Si and Zhang San is 45, king five and Li Si
Phase knowledge and magnanimity be 55.Counting statistics is carried out in this approach, and from high to low, selects setting quantity（E.g. 4 students）.Can be with
Halves carries out a scoring for student information similarity, is once scored before the new term begins.
The central server is also included：
Recommending module 19, is grouped by student information similarity score, and the student information similarity score in packet is higher
Student information mutually recommended.Fraction height is such as pressed by the personal information of king five, Li Si, money seven, grandson two by pushing
The form of information recommends student's account of Zhang San.By the personal information of Zhang San, Li Si, grandson two, money seven by pushed information
Form recommends king five.And can forbid for others recommending oneself in the login student account setting of central server backstage, prohibit
Oneself is only recommended others, it is to avoid some malice are harassed.
A kind of Course Recommendation System of the present invention, by setting up teacher pond, by the teacher of same course of giving lessons by setting
Fixed achievement interval standard is classified, and meets the interval student's needs of different achievements, is maximized realization and is taught students in accordance with their aptitude.Participation class
The student of journey can be scored teacher, and an objectively dynamic examination is carried out to teacher, be the student of follow-up curricula-variable
Reference is provided.Student information includes more comprehensive student's personal information, the grade's necessary course of information generation according to input
Arrangement statistics, reduces the step of being manually entered course.Historical Results according to each section retrieve teacher's from teacher pond
Combination, finds the teacher of suitable oneself achievement, and according to sex, the teacher of suitable this sex of selection accomplishes teacher and student
Maximized matching.Calculated by big data, by comprehensively calculating, not only only consider the achievement of student, match phase
As student, and encourage similar student to set up study group.
Embodiment 3
A kind of course recommendation server, comprising：
Teacher management module, sets up teacher pond, and by giving lessons, course education is sorted out, by setting achievement under same course of giving lessons
Interval standard makes a distinction classification.Such as sorted out and stored by Chinese language, mathematics, English, chemistry, history etc. subject and deposited
In reservoir.An independent storage is interval during each classification takes memory, it is to avoid storage failure causes large area data
Cannot recover.Under each classification, such as under this classification of Chinese language, it is divided into：Big group of primary school, big group of middle school, are further divided into small by grade
Group, such as first grade of primary school, middle school's second grade.Teacher is classified by achievement interval under per a small group.For example：Language
Text-middle school-high by two-{ 0-60 } achievement is interval：1. fourth teacher；2. old teacher；3. teacher Qiu ... ...Mathematics-middle school-height
Three-{ 71-80 } achievements are interval：1. Mr. Zhang；2. teacher Zhu；3. teacher Yang ... ...Etc..
Teacher's grading module, sets teachers'action scoring, and each student for participating in course is carried out to teacher
Scoring, counts the scoring of each teacher, and update scoring at setting time interval.By counting statistics setting time section（One
Individual month or a season or a term）Average score and update.Meanwhile, scoring is anonymous, and teacher cannot
See scoring object.Scoring divides following option into：1. achievement improves fraction；2. teachers' instruction vividness；3. teacher actively teaches
Enthusiasm；4. teacher's operation is rich.It is 0-5 per item rating.Test every time, achievement often improves 5 points of scoring fractions plus 1, example
20 points are such as improve, then the scoring that this gives teacher is 4.Once, scoring fraction adds 0.5 to the auxiliary road student of teacher's active.Such as
Participate in course during, the auxiliary road student of teacher 8 times, then the student teacher is actively taught enthusiasm scoring be 4
Point.Remaining 2 item ratings are subjective scoring, and scoring is judged according to itself by student.Scored from aforementioned four dimension, finally
Addition obtains total score, and participation is compared.Scoring is updated at setting time interval, the time of teacher's change is left for, is supervised and is awarded
Class teacher is directed to not enough project and is lifted, and then promotes the benign competition between teacher.
Transceiver module, receives student information, and the student information is included：Name, grade, each course Historical Results, sex.
First retrieval module, is retrieved according to grade's information, generates the arrangement statistics of each necessary course.Such as need to participate in
Course:Three Chinese language high, three mathematics high, three physics high, high three chemical, high three three English biological, high etc..
Second retrieval module, according to each course Historical Results, retrieves the teacher of each necessary course from teacher pond
Combination..For example：Mathematics-middle school-junior three-{ 91-100 } achievement is interval：1. fourth teacher；2. money teacher；3. teacher Meng.
Order module, according to sex, the sex is filtered out in the combination of the teacher retrieved from the second retrieval module
Student scoring highest teacher, and sorted according to scoring height.Such as mathematics-middle school-junior three-{ 91-100 } achievement
It is interval-to receive schoolboy's ratings（There is no basic sex reversal in this condition of achievement interval）：1. money teacher；2. fourth teacher；3.
Teacher Meng.
The data of the first retrieval module and order module are entered row set Emergent Curriculum recommendation tables by recommendation tables generation module,
Comprising be necessary course, and the teacher's recommendation comprising each course.
A kind of described course recommendation server, also includes：
Grading module, this is that a big data calculates center module, according to the student information of input, in student mutually of the same grade
Matching object is found, the highland according to student information similarity is scored.All students are classified by grade first, is connect
And classified by sex, then classified by each course achievement, each course achievement is divided into some intervals, every 10 points are
One interval, such as 61-70 is a class interval；71-80 is a class interval, by that analogy.By inner men and women of the same grade
Student distinguishes statistical computation.According to each course achievement for obtaining, automatically will be interval belonging to score of each subject in man of the same grade, schoolgirl
Divided.And calculate the interval student of identical course, computation rule：With between interval then two students of identical course
The degree of correlation be 10 points.With identical interest selections, each is 5 points, and with identical personality option, each is 10 points.Example
Such as：Zhang San, Chinese language 65, mathematics 71, chemistry 88, English 61, physics 91.Interest selections：" motion ", " singing "；Personality option：
" active optimistic ".Li Si is found through statistics：Chinese language 71, mathematics 75, chemistry 89, English 66, physics 93.Interest selections " reading ",
" motion ".Personality option：" sedate containing ".King five：Chinese language 88, mathematics 82, chemistry 88, English 62, the interest selections of physics 93.：
" motion ", " singing "；Personality option " active optimistic ".By taking Zhang San as an example, the similarity of Li Si and Zhang San is 45, king five and Li Si
Phase knowledge and magnanimity be 55.Counting statistics is carried out in this approach, and from high to low, selects setting quantity（E.g. 4 students）.Can be with
A scoring for student information similarity is carried out in the setting time cycle, for example, is once scored before the new term begins.
Recommending module, is grouped by student information similarity score, by the student information similarity score in packet compared with
Student information high is mutually recommended.It is grouped by student information similarity score, the student information in packet is similar
Degree scoring student information higher is mutually recommended.Fraction height is such as pressed to believe king five, Li Si, money seven, the personal of grandson two
Breath recommends student's account of Zhang San by the form of pushed information.The personal information of Zhang San, Li Si, grandson two, money seven is passed through
The form of pushed information recommends king five.And can forbid recommending others in the login student account setting of central server backstage
To oneself, forbid for oneself recommending others, it is to avoid some malice are harassed.
A kind of course recommendation server of the present invention, by setting up teacher pond, by the teacher of same course of giving lessons by
The achievement interval standard of setting is classified, and meets the interval student's needs of different achievements, is maximized realization and is taught students in accordance with their aptitude.Participate in
The student of course can be scored teacher, and an objectively dynamic examination is carried out to teacher, be of follow-up curricula-variable
It is raw that reference is provided.Student information includes more comprehensive student's personal information, the grade's necessary course of information generation according to input
Arrangement statistics, reduction is the step of be manually entered course.Historical Results according to each section retrieve teacher from teacher pond
Combination, find the teacher of suitable oneself achievement, and according to sex, the teacher of suitable this sex of selection accomplishes teacher and learns
Raw maximized matching.Additional information of the raw information also comprising interest selections and personality option, can allow backstage more preferably to be enriched
The data type of student information, for follow-up other statistical analyses provide data supporting.Carried out by the student information data collected
Calculate, calculate student information similarity, find out similar student, sorted out, convenient follow-up offer value-added service.
Obviously, above-described embodiment is only intended to clearly illustrate example, and not to the restriction of implementation method.It is right
For those of ordinary skill in the art, can also make on the basis of the above description other multi-forms change or
Change, the function of disparate modules is realized by circuit design known in the field.There is no need and unable to all of implementation
Mode is exhaustive.And the obvious change thus extended out or change still in the invention protection domain it
In.
Claims (10)
1. a kind of course recommends method, it is characterised in that comprise the steps of：
Teacher pond is set up, course education is sorted out by giving lessons, carried out by setting achievement interval standard under same course of giving lessons
Distinguish and sort out；
Teachers'action scoring is set, and each student for participating in course scores teacher, each religion is counted
The scoring of teacher, and update scoring at setting time interval；
The student information of input is received, the student information is included：Name, grade, each course Historical Results, sex；
Retrieved according to grade's information, generated the arrangement statistics of each necessary course；
According to each course Historical Results, the combination of the teacher of each necessary course is retrieved from teacher pond；
According to sex, sex student scoring highest teacher is filtered out from the combination of the teacher for retrieving, and
Sorted according to scoring height；
Emergent Curriculum recommendation tables, comprising be necessary course, and the teacher's recommendation comprising each course；
Receive course recommendation tables and show.
2. a kind of course according to claim 1 recommends method, it is characterised in that the student information is also included：It is additional
Information, additional information is：Interest selections, personality option.
3. a kind of course according to claim 1 and 2 recommends method, it is characterised in that further include：
According to the student information of input, matching object is found, the highland according to student information similarity is scored.
4. a kind of course according to Claims 2 or 3 recommends method, it is characterised in that also include：Student information is similar
Degree scoring student information higher is mutually recommended.
5. a kind of Course Recommendation System, it is characterised in that include：Central server, operation terminal；
Central server, further includes：
Teacher management module, sets up teacher pond, and by giving lessons, course education is sorted out, by setting achievement under same course of giving lessons
Interval standard makes a distinction classification；
Teacher's grading module, sets teachers'action scoring, and each student for participating in course scores teacher,
The scoring of each teacher is counted, and scoring is updated at setting time interval；
Transceiver module, receives the student information that operation terminal sends, and the student information is included：Name, grade, each course history
Achievement, sex；
First retrieval module, is retrieved according to grade's information, generates the arrangement statistics of each necessary course；
Second retrieval module, according to each course Historical Results, retrieves the group of the teacher of each necessary course from teacher pond
Close；
Order module, according to sex, sex student is filtered out in the combination of the teacher retrieved from the second retrieval module
Scoring highest teacher, and sorted according to scoring height；
The data of the first retrieval module and order module are entered row set Emergent Curriculum recommendation tables by recommendation tables generation module, comprising
Be necessary course, and the recommendation of the teacher comprising each course, and transfer to transceiver module to send to the operation terminal；
Operation terminal, comprising communication module, Operation display module；Wherein
Communication module, the student information of input is sent to the transceiver module of the central server；Receive the transceiver module
The course recommendation tables of transmission；
Operation display module, is input into student information, shows course recommendation tables.
6. a kind of Course Recommendation System according to claim 5, it is characterised in that the student information is also included：It is additional
Information, additional information is：Interest selections, personality option.
7. a kind of Course Recommendation System according to claim 6, it is characterised in that the central server is also included：
Grading module, according to the student information of input, finds matching object, according to student information phase in student mutually of the same grade
Scored like the highland of degree.
8. a kind of Course Recommendation System according to claim 7, it is characterised in that the central server is also included：
Recommending module, is grouped by student information similarity score, and the student information similarity score in packet is higher
Student information is mutually recommended.
9. a kind of course recommendation server, it is characterised in that include：
Teacher management module, sets up teacher pond, and by giving lessons, course education is sorted out, by setting achievement under same course of giving lessons
Interval standard makes a distinction classification；
Teacher's grading module, sets teachers'action scoring, and each student for participating in course scores teacher,
The scoring of each teacher is counted, and scoring is updated at setting time interval；
Transceiver module, receives student information, and the student information is included：Name, grade, each course Historical Results, sex；
First retrieval module, is retrieved according to grade's information, generates the arrangement statistics of each necessary course；
Second retrieval module, according to each course Historical Results, retrieves the group of the teacher of each necessary course from teacher pond
Close；
Order module, according to sex, sex student is filtered out in the combination of the teacher retrieved from the second retrieval module
Scoring highest teacher, and sorted according to scoring height；
The data of the first retrieval module and order module are entered row set Emergent Curriculum recommendation tables by recommendation tables generation module, comprising
Be necessary course, and the recommendation of the teacher comprising each course.
10. a kind of course recommendation server according to claim 9, it is characterised in that also include：
Grading module, according to the student information of input, finds matching object, according to student information phase in student mutually of the same grade
Scored like the highland of degree；
Recommending module, is grouped by student information similarity score, and the student information similarity score in packet is higher
Student information is mutually recommended.
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