CN105718546A - Statistical processing method and system of usual achievements in SPOC (Small Private Online Course) platform - Google Patents
Statistical processing method and system of usual achievements in SPOC (Small Private Online Course) platform Download PDFInfo
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- CN105718546A CN105718546A CN201610032028.2A CN201610032028A CN105718546A CN 105718546 A CN105718546 A CN 105718546A CN 201610032028 A CN201610032028 A CN 201610032028A CN 105718546 A CN105718546 A CN 105718546A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2477—Temporal data queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
- G06F16/2358—Change logging, detection, and notification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
Abstract
The invention discloses a statistical processing method and system of usual achievements in a SPOC (Small Private Online Course) platform. The statistical processing method is characterized by comprising the following steps: S1: a student terminal or a teacher terminal sends task completion data to a server, and the server receives and processes the task completion data to obtain the achievement data of a target student terminal; S2: the teacher terminal sends a usual achievement weighting statistics method instruction to the server, and the server carries out weighting calculation according to the instruction to obtain the weighting usual achievements of each student terminal; and S3: the teacher terminal or the student terminal sends a query signal to the server, the server calls the related achievement data according to the received query signal, sends the achievement data to the teacher terminal or the student terminal, and can realize the statistical processing on multi-source achievement data in the SPOC platform from multiple dimensionalities to form the construction of an achievement database which is updated in real time. In addition, an achievement data processing stat between two query requests is reasonably designed to greatly improve platform query efficiency, reduce a server handling capacity and prevent the server from operating under high load for a long time.
Description
Technical field
The invention belongs to the data interaction field of Mobile Online's teaching, be specifically related to statistical processing methods and the system of usual performance in a kind of SPOC platform.
Background technology
SPOC, as the abbreviation of small-sized private network course (SmallPrivateOnlineCourse), is the invention of U.S. Berkeley University ArmandoFox professor, and the number of student of usual SPOC, will not be thousands of between tens people to hundreds of people.Professor Fox thinks that admiring class resource used as the supplementary of school's platform teaching rather than replaces, it will promotes teacher's value in teaching, promotes that student actively thinks deeply, is conducive to students, and keeps the interest of study.Notice that the SPOC pattern that Fox professor speaks of here is the one thing with conventional blended instruction pattern, only blended instruction pattern originally uses the resource that teacher places in the network platform of school, or recommend to quote Internet resources, because not being admire class course resources, it is possible to lack short and small video can learn whenever and wherever possible, the superiority of system automatic Marking.
SPOC can bring a kind of new profit model for admiring class platform provider such as edX, Coursera, namely admires the class teacher that gives a course and certain school can be authorized to use its course to carry out the SPOC to its school student.In order to support such application, admire class platform commercial city and devise SPOC system.Simplest SPOC system is to replicate to admire class course, is only limited student's service, i.e. course authorization.But also having some SPOC systems is admiring set SPOC on class platform, say, that the student of SPOC can participate in admiring the discussion of class, but has oneself extra learning tasks and the secret zone of discussion of oneself.
Relative to admiring class, SPOC may be used for professional education, meets on a small scale, has the needs of particular/special requirement crowd by the advantage of online course, certain income perhaps can also be had to return.For numerous colleges and universities, SPOC uses exactly and admires class resource and carry out upset platform, while providing motility and effectiveness, brings for student and pure admires the complete educational experience that class lacks, including the intimate contact of teachers and students.Hope is promoted to the research worker of quality of instruction with big data research, SPOC may provide valuable data more accurately than admiring class.
In current SPOC platform, course is not yet unified, and most Specialized courses are taught, set a paper, change examination paper, determine achievement is same teacher, and the record randomness of achievement is comparatively serious.It is universal phenomenon that the intervention large area of usual performance improves general comment achievement pass rate, if but usual performance is recorded, is quantified the rigid requirements that guiding principle divides by shortage comprehensively, also without the feasible operational approach for different courses, even without the form designing a reasonable record disparity items usual performance and conversion thereof, then it is difficult to verify.Therefore, for SPOC platform, the statistical processing methods developing a kind of usual performance is needed badly, it is achieved the dynamic construction of results database in SPOC platform.
Summary of the invention
It is an object of the invention to strengthen the process management to achievement data, realize the Assessment of the task data that user produces in learning process on platform, make results database realize continuous print dynamically to update, and statistical processing methods and the system of usual performance in a kind of SPOC platform are provided.
For achieving the above object, the present invention adopts the following technical scheme that
The statistical processing methods of usual performance in a kind of SPOC platform, comprises the following steps:
S1: student terminal or teacher's terminal to server send task and complete data, and are received by server and process the achievement data obtaining target student terminal；
S2: teacher's terminal to server sends usual performance weighted statistical method instruction, server completes data according to the task of the instruction calls storage received and is weighted, and obtains the weighting usual performance of each student terminal, and stores；
S3: teacher's terminal or student terminal send inquiry signal to server, the achievement data that server is transferred involved by inquiry signal according to the inquiry signal received is sent to teacher's terminal or student terminal.
As preferably, described achievement data is divided into Task, competitive type, additive type three class,
The computational methods of each several part particularly as follows:
Task: A1=NA1/MA*SA；Wherein A1 represents the Task achievement of target student terminal, and NA1 represents that the task of target student terminal participates in number of times, and SA represents Task grade point, and MA represents task total degree；
Competition type: B1=NB1/MB*SB*H1+ (1/NB2)/MB*SB*H2；Wherein B1 represents the contest result of target student terminal, NB1 represents that the contest task of target student terminal completes to participate in number of times, and NB2 represents the contest ranking of target student terminal, and H1 and H2 all represents achievement department of statistic number and H1+H2=1, SB represents competition type grade point, and MB represents contest total degree；
Additive type: C1=L*NC1, wherein C1 represents the additional achievement of target student terminal, and L represents line bonus coefficient, and NC1 represents that number of times is submitted in operation to.
As preferably, in described step S2, usual performance weighted statistical method instruction includes usual performance composition structure, weight, and wherein the mark of competitive type calculates according to linear or standard scores mode.
As preferably, described server constantly processes and preserves the achievement data uploaded of each learning terminal, Task achievement data carries out statistical analysis after the task of receiving student terminal submission completes data, and competition type achievement data is added up when receiving inquiry signal, and updates achievement.
As it is preferred that, when competition type achievement data updates: update achievement data newly-increased in the middle of the front one query of only statistical disposition and rear one query, in the achievement that before newly-increased achievement being added to, after one query, statistical disposition obtains every time.
As preferably, when described server receives inquiry signal, the achievement in the usual performance of target student terminal forming component and carries out visualization display, each achievement composition component feeds back to the terminal sending inquiry signal with graphical format.
As preferably, when described server receives inquiry signal, the usual performance of objective time interval internal object student terminal being sent to, as feedback data, the terminal sending inquiry signal.
Based on said method, the present invention may also provide the statistical processing system of usual performance in a kind of SPOC platform, including student terminal, server and teacher's terminal；
Described student terminal completes data for sending task to server；Send inquiry signal to server, and receive the inquiry achievement data involved by signal of server feedback；
Described server completes data for the task of receiving student terminal or the transmission of teacher's terminal, and processes the achievement data obtaining target student terminal；Receive the usual performance weighted statistical method instruction that teacher's terminal sends, complete data according to the task of the instruction calls storage received and be weighted, obtain the weighting usual performance of each student terminal, and store；Receive teacher's terminal or the inquiry signal of student terminal transmission, be sent to teacher's terminal or student terminal according to the achievement data that the inquiry signal received is transferred involved by inquiry signal；Processing and preserve the achievement data uploaded of each learning terminal in real time, Task achievement data carries out statistical analysis after the task of receiving student terminal submission completes data, and competition type achievement data is added up when receiving inquiry signal, and updates achievement；After receiving inquiry signal, achievement in the usual performance of target student terminal forming component and carries out visualization display, each achievement composition component feeds back to the terminal sending inquiry signal or the usual performance of objective time interval internal object student terminal is sent to as feedback data the terminal sending inquiry signal using graphical format；
Described teacher's terminal completes data, usual performance weighted statistical method instruction or inquiry signal for sending task to server；What receive server transmission inquires about the feedback data involved by signal.
The present invention is in terms of existing technologies, it is possible to realize, to the statistical disposition of multi-source achievement data SPOC platform, forming the structure of the results database of real-time update from various dimensions.This method changes in traditional platform data interaction, and task data cannot be implemented to be converted into achievement data, intuitively represents the defect of learning outcome.The method of the present invention is conducive to Strengthen process management, disperses teaching difficulty, and various dimensions show the learning state of user, it is achieved intelligent management, and the learning aid pattern that developing is novel breaks through the limitation of tradition learning aid.It addition, process state by the achievement data in the middle of twice inquiry request of appropriate design, substantially increase platform search efficiency, and save server process amount, it is prevented that the long-term heavy-duty service of server.
The statistical processing methods of the present invention, has been used by actual course and has proved practicable, agreed with the teacher and student demand to novel learning aid instantly.
Accompanying drawing explanation
Fig. 1 is usual performance classification block diagram；
Detailed description of the invention
Understand for the ease of persons skilled in the art and realize the present invention, further illustrating technical scheme in conjunction with accompanying drawing, provide the detailed description of the invention of a kind of the method for the invention.
In this following detailed description of the invention, server now adopts Sina's Cloud Server.By disposing code and database realizing function in Sina high in the clouds, the secondary development function provided by wechat public number by public number and Sina's cloud service by URL link, it is achieved call Sina's high in the clouds function at wechat end.Adopting the development mode of new billow cloud+wechat public number, the construction cycle is short, function is simple, development cost is low, cost is low, resource utilization is high in management to add deletion.
What student terminal now adopted is the mobile phone being provided with wechat, and user can pass through to pay close attention to corresponding wechat public number can use the function being deployed in Sina high in the clouds.
Teacher's terminal is mainly PC end, is managed either directly through web page access Sina Cloud Server domain name and controls.Teacher's terminal can based on cell phone use wechat subscribe to number form realize, server terminal we use Sina's cloud computing platform.Set forth the technical scheme of present embodiment in detail below:
The statistical processing methods of usual performance in a kind of SPOC platform, comprises the following steps:
S1: student terminal or teacher's terminal to server send task and complete data, and are received by server and process the achievement data obtaining target student terminal；
S2: teacher's terminal to server sends usual performance weighted statistical method instruction, server completes data according to the task of the instruction calls storage received and is weighted, and obtains the weighting usual performance of each student terminal, and stores；
S3: teacher's terminal or student terminal send inquiry signal to server, the achievement data that server is transferred involved by inquiry signal according to the inquiry signal received is sent to teacher's terminal or student terminal.
As it is shown in figure 1, in present embodiment, achievement data is divided into Task, competitive type, additive type three class.The computational methods of each several part particularly as follows:
Task: A1=NA1/MA*SA；Wherein A1 represents the Task achievement of target student terminal, and NA1 represents that the task of target student terminal participates in number of times, and SA represents Task grade point, and MA represents task total degree；
Competition type: B1=NB1/MB*SB*H1+ (1/NB2)/MB*SB*H2；Wherein B1 represents the contest result of target student terminal, NB1 represents that the contest task of target student terminal completes to participate in number of times, and NB2 represents the contest ranking of target student terminal, and H1 and H2 all represents achievement department of statistic number and H1+H2=1, SB represents competition type grade point, and MB represents contest total degree；
Additive type: C1=L*NC1, wherein C1 represents the additional achievement of target student terminal, and L represents line bonus coefficient, is traditionally arranged to be 5；NC1 represents that number of times is submitted in operation to, as submitted to once, then adds and is divided into 5*1=5 to divide.
A kind of achievement data composition structure in present embodiment is described below, including:
1. attend class register (number of times of registering divides as task, few once 1 point of button)；
2. classroom test (number of times completed divides as task and accounts for 70%, the ranking answered questions divide as contest account for 30%)；
3. homework (complete 400 road exercise questions to divide as task and account for 70%, the ranking answered questions divide as contest account for 30%)；
4. laboratory report (number of times completed divides 70% as task, the ranking of quality divide as contest account for 30%)；
5. platform construction (number of times completed divides as task, few once 1 point of button)；
6. group's report (reporting process divides as task and accounts for 70%, the ranking of quality divide as contest account for 30%)；
7. works submit (submitting big operation, line bonus 5 points to) to
Wherein attend class register and platform construction belong to Task, respectively account for the 10% of usual performance, platform test, homework, laboratory report and group report belong to competition type, respectively account for the 20% of usual performance.
In step S2, usual performance weighted statistical method instruction includes usual performance composition structure, weight, and wherein the mark of competitive type calculates according to linear or standard scores mode.Linear mode is namely good and bad according to task performance, and different student terminals is carried out ranking, further according to preset rules with ranking for according to carrying out bonus point.The mode of linear ranking is then replaced with and carries out ranking with standard scores height by standard scores mode.In order to realize being reasonably distributed of usual performance, original dividing at ordinary times is adjusted by the algorithm that can also use standard scores, wherein the computational methods of standard scores are as follows: standard scores Z is a kind of by the original point of relative status amount number derived, and it is used to the original point of relative position in that batch of affiliated mark is described.Its algorithm is as follows:
Z=(X-X_bar)/S
In formula, X is raw score, and X_bar is the average of original point, and S is the standard deviation of original point.
Z score is using the average of a collection of mark as reference point, represents distance using standard deviation as unit.It is made up of sign and absolute figure two parts, and sign illustrates that original point is greater than also being less than average, and absolute figure illustrates the how far of original point of range averaging mark.After a collection of mark is wholly converted into Z score, their whole distributional pattern does not change.Z score has delineated mark relative position in a collection of mark exactly, but, owing to Z score has negative value, often with decimal, not easily it is more readily understood and applies.Except carrying out ranking with Z score, it is also possible to change further on the basis of Z score, thus the standard scores of other forms a series of grown up carries out ranking.As another form of conversion formula is:
Z '=α Z+ β
In formula, the standard scores that Z ' is other forms, α is basis point, and the average mark X_bar, the β that are generally equivalent to original point are sampling factors, are generally equivalent to the standard deviation S of initial data.
The advantage of standard scores is that single standard scores can reflect examinee's achievement position in all examinee's achievements, then can not for single original point；Original point of different subjects is not comparable, and the standard scores of different subject is comparable；Original point of different subjects can not add, and has additivity between the standard scores of different subject；
In the learning process of whole SPOC platform, server constantly processes and preserves the achievement data uploaded of each learning terminal, Task achievement data carries out statistical analysis after the task of receiving student terminal submission completes data, competition type achievement data is added up when receiving inquiry signal, and updates achievement.
It addition, score inquiry method conventional at present, it will usually after receiving task data, real-time update achievement data immediately, and recall this data when inquiry.Therefore server computation load can be caused excessive, be in oepration at full load, inefficiency for a long time.In present embodiment, adopt special scheme when competition type achievement data updates: update achievement data newly-increased in the middle of the front one query of only statistical disposition and rear one query, in the achievement that before newly-increased achievement being added to, after one query, statistical disposition obtains every time.As when certain student is when inquiring about achievement first January 11, platform calculates and shows current achievement；When certain student is when again inquiring about achievement January 14, then platform calculates in the achievement of achievement the last visit that is added to increased newly between January 14 January 10.This measure can substantially increase platform search efficiency, and saves server process amount, it is prevented that redundancy phenomena occurs.
When server receives inquiry signal, the achievement in the usual performance of target student terminal forming component and carries out visualization display, each achievement composition component feeds back to the terminal sending inquiry signal with graphical format.Or the usual performance of objective time interval internal object student terminal can also be sent to, as feedback data, the terminal sending inquiry signal.
Based on said method, additionally provide the statistical processing system of usual performance in a kind of SPOC platform, including student terminal, server and teacher's terminal；
Described student terminal completes data for sending task to server；Send inquiry signal to server, and receive the inquiry achievement data involved by signal of server feedback；
Described server completes data for the task of receiving student terminal or the transmission of teacher's terminal, and processes the achievement data obtaining target student terminal；Receive the usual performance weighted statistical method instruction that teacher's terminal sends, complete data according to the task of the instruction calls storage received and be weighted, obtain the weighting usual performance of each student terminal, and store；Receive teacher's terminal or the inquiry signal of student terminal transmission, be sent to teacher's terminal or student terminal according to the achievement data that the inquiry signal received is transferred involved by inquiry signal；Processing and preserve the achievement data uploaded of each learning terminal in real time, Task achievement data carries out statistical analysis after the task of receiving student terminal submission completes data, and competition type achievement data is added up when receiving inquiry signal, and updates achievement；After receiving inquiry signal, achievement in the usual performance of target student terminal forming component and carries out visualization display, each achievement composition component feeds back to the terminal sending inquiry signal or the usual performance of objective time interval internal object student terminal is sent to as feedback data the terminal sending inquiry signal using graphical format；
Described teacher's terminal completes data, usual performance weighted statistical method instruction or inquiry signal for sending task to server；What receive server transmission inquires about the feedback data involved by signal.
Claims (8)
1. the statistical processing methods of usual performance in a SPOC platform, it is characterised in that comprise the following steps:
S1: student terminal or teacher's terminal to server send task and complete data, and are received by server and process the achievement data obtaining target student terminal；
S2: teacher's terminal to server sends usual performance weighted statistical method instruction, server completes data according to the task of the instruction calls storage received and is weighted, and obtains the weighting usual performance of each student terminal, and stores；
S3: teacher's terminal or student terminal send inquiry signal to server, the achievement data that server is transferred involved by inquiry signal according to the inquiry signal received is sent to teacher's terminal or student terminal.
2. the statistical processing methods of usual performance in SPOC platform as claimed in claim 1, it is characterised in that described achievement data is divided into Task, competitive type, additive type three class,
The computational methods of each several part particularly as follows:
Task: A1=NA1/MA*SA；Wherein A1 represents the Task achievement of target student terminal, and NA1 represents that the task of target student terminal participates in number of times, and SA represents Task grade point, and MA represents task total degree；
Competition type: B1=NB1/MB*SB*H1+ (1/NB2)/MB*SB*H2；Wherein B1 represents the contest result of target student terminal, NB1 represents that the contest task of target student terminal completes to participate in number of times, and NB2 represents the contest ranking of target student terminal, and H1 and H2 all represents achievement department of statistic number and H1+H2=1, SB represents competition type grade point, and MB represents contest total degree；
Additive type: C1=L*NC1, wherein C1 represents the additional achievement of target student terminal, and L represents line bonus coefficient, and NC1 represents that number of times is submitted in operation to.
3. the statistical processing methods of usual performance in SPOC platform as claimed in claim 1, it is characterized in that, in described step S2, usual performance weighted statistical method instruction includes usual performance composition structure, weight, and wherein the mark of competitive type calculates according to linear or standard scores mode.
4. the statistical processing methods of usual performance in SPOC platform as claimed in claim 1, it is characterized in that, described server constantly processes and preserves the achievement data uploaded of each learning terminal, Task achievement data carries out statistical analysis after the task of receiving student terminal submission completes data, competition type achievement data is added up when receiving inquiry signal, and updates achievement.
5. the statistical processing methods of usual performance in SPOC platform as claimed in claim 4, it is characterized in that, when competition type achievement data updates: update achievement data newly-increased in the middle of the front one query of only statistical disposition and rear one query, in the achievement that before newly-increased achievement being added to, after one query, statistical disposition obtains every time.
6. the statistical processing methods of usual performance in SPOC platform as claimed in claim 1, it is characterized in that, when described server receives inquiry signal, achievement in the usual performance of target student terminal forming component and carries out visualization display, each achievement composition component feeds back to the terminal sending inquiry signal with graphical format.
7. the statistical processing methods of usual performance in SPOC platform as claimed in claim 1, it is characterized in that, when described server receives inquiry signal, the usual performance of objective time interval internal object student terminal is sent to, as feedback data, the terminal sending inquiry signal.
8. the statistical processing system of usual performance in a SPOC platform, it is characterised in that include student terminal, server and teacher's terminal；
Described student terminal completes data for sending task to server；Send inquiry signal to server, and receive the inquiry achievement data involved by signal of server feedback；
Described server completes data for the task of receiving student terminal or the transmission of teacher's terminal, and processes the achievement data obtaining target student terminal；Receive the usual performance weighted statistical method instruction that teacher's terminal sends, complete data according to the task of the instruction calls storage received and be weighted, obtain the weighting usual performance of each student terminal, and store；Receive teacher's terminal or the inquiry signal of student terminal transmission, be sent to teacher's terminal or student terminal according to the achievement data that the inquiry signal received is transferred involved by inquiry signal；Processing and preserve the achievement data uploaded of each learning terminal in real time, Task achievement data carries out statistical analysis after the task of receiving student terminal submission completes data, and competition type achievement data is added up when receiving inquiry signal, and updates achievement；After receiving inquiry signal, achievement in the usual performance of target student terminal forming component and carries out visualization display, each achievement composition component feeds back to the terminal sending inquiry signal or the usual performance of objective time interval internal object student terminal is sent to as feedback data the terminal sending inquiry signal using graphical format；
Described teacher's terminal completes data, usual performance weighted statistical method instruction or inquiry signal for sending task to server；What receive server transmission inquires about the feedback data involved by signal.
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| CN106779425A (en) * | 2016-12-23 | 2017-05-31 | 渤海大学 | Student's environmental consciousness evaluates bonus-malus system |
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| CN110020977A (en) * | 2019-03-27 | 2019-07-16 | 成都乐陪信息科技有限公司 | A kind of moral education appraisal system mutually commented based on mobile terminal and wearable device and its method |
| CN112102675A (en) * | 2020-10-13 | 2020-12-18 | 上海市静安区和田路小学 | Teaching progress based tutorial management system and working method thereof |
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