CN105869088A - Teaching quality evaluation system based on online education - Google Patents
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Abstract
The invention discloses a teaching quality evaluation system based on online education. The teaching quality evaluation system comprises a data loading module, an FLEX player, a data processing module and a data reporting module. According to the teaching quality evaluation system based on online education, learning cost coefficients of different corresponding courses, different chapters and different knowledge points are worked out through collection and statistics of learning behavior data of students; teaching quality evaluation of a teacher is achieved through analysis of all students. The data reporting module generates reporting information, and users can conveniently perform lateral comparison. The students can perform lateral comparison with other students and can know the learning phenomenon and the learning efficiency; on the basis of comparison of different courses, the students can know the courses which they are good at and the courses which they are not good at. On the basis of lateral comparison of different chapters, the teacher can know the chapters and the knowledge points which the students learn with difficulties and then improve the teaching quality.
Description
Technical field
The present invention relates to data processing field, particularly relate to Evaluation System for Teaching Quality based on online education.
Background technology
Web-based teaching becomes the wide variety of learning tool of people at present, owing to a lot of online education platforms need
Student learning situation and learning effect are monitored and examine, and to the quality of instruction of teacher in video
It is estimated, so we need to monitor the process of student viewing video in real time, learning effect is entered
Row quantizing examination, and using effective learning behavior of Ensemble learning person as sample, by sample is quantified
Examination and across comparison, it is achieved the assessment to teacher's quality of instruction.But online education is difficult to monitoring and learns
Habit behavior, it is difficult to learning effect and study duration are connected.In the case of identical study duration, it is
No association is the major criterion of assessment Students ' Learning quality；It is equivalent to: in the case of same association, study
Duration is also the standard of assessment Students ' Learning quality, it is impossible to combine these 2, only with examination or video
Viewing number of times, it is impossible to accurate evaluation student learning quality, online education of the prior art at present cannot be real
The now data acquisition of viewing time real to video, mostly is the duration using calculating to open video link, i.e. point
Opening the duration of video playback webpage, this is the traditional statistical method of forum type, is not suitable for adding up video-see
Duration.Additionally main flow player employing at present is all HTML5 player, because the nothing of HTML5 itself
Status protocol feature, therefore cannot independently preserve variable, it is necessary to rely on cookie, session or data base
Constantly read-write preserves data.When being applied in online teaching, because the data of frequently storage are too many or program
Excessively complicated, and the study duration to single learning process cannot be realized and exercise is answered situation and is monitored.
Summary of the invention
The problem existed according to prior art, the invention discloses a kind of quality of instruction based on online education and comments
Estimate system, including data load-on module, FLEX player, data processing module and data Reports module,
Described data load-on module is the start-stop that player loads each knowledge point corresponding in teaching video contents
The answer information of time, exercise and correspondence, video path URL and keyword message, when this system loads is broadcast
When putting device, the XML data bag of video data is sent to specify the broadcasting of URL by described data load-on module
On device；
Described FLEX player read XML data bag information, record user watch each knowledge point time
Long message, F.F. or playback information and the positive false information of answer of each knowledge point correspondence exercise, work as user
After completing study and answering corresponding exercise, user learning behavior and answer are corrected errors by described FLEX player
Information sends to data processing module；
Described data processing module receives the data message of FLEX player transmission, the study to each user
Achievement carries out comprehensive analysis and arrangement, uses Bayesian formula to calculate each student based on different course, differences
The learning time expected value that correct exercise is corresponding is answered in chapters and sections, different knowledge point, is defined as by this expected value
Learning cost coefficient, described data processing module is real by the learning cost coefficient of the different knowledge points of different user
Time be sent to data sheet module；
Described data sheet module receives the command information that described data processing module transmits, according to each user
The request call sent meets the learning cost coefficient value of the Ensemble learning person of request, fits to based on not classmate
Practise the most too distribution curve of the number of cost coefficient, calculate the instruction cost of this teacher according to the most too distribution curve
Coefficient also generates form.
Described FLEX player record user is when watching the temporal information of each knowledge point: when user watches
When playback phenomenon occurs in video, FLEX player record is the total duration watching corresponding knowledge point, when this is total
The long non-knowledge point viewing duration removed in replayed section.
Described data processing module is adopted when using the learning cost coefficient value of each knowledge point of Bayes theorem calculating
By following manner:
Wherein: A represents the study duration of this knowledge point, B represents that this knowledge point correspondence exercise answers letter of correcting errors
Breath, P (A) represents the study duration ratio divided by knowledge point video duration, it is considered to weighting；P (B) represents accuracy,
P (A | B) represent and answer the ratio that correct knowledge point duration accounts for video duration, it is considered to weighting, P (B | A) represent
In unit time, the accuracy of learner answering questions video, i.e. learning cost coefficient value.
Owing to have employed technique scheme, the TQA system based on online education that the present invention provides
System, by collecting, the learning behavior data of statistic, calculate corresponding different course, different chapters and sections,
The learning cost coefficient of different knowledge points；By Ensemble learning person being analyzed the teaching realized teacher
Quality evaluation.Data sheet module generates report messages, facilitates user to carry out across comparison.Student by with
The across comparison of other learners, it will be appreciated that the study situation of oneself and the learning efficiency；By different courses
Contrast, it will be appreciated that oneself be good at study which course be bad to learn which course.Teacher is not by
Across comparison with chapters and sections, it will be appreciated which chapters and sections of student, which knowledge point learning difficulty, and then improve
Quality of instruction.School and educational institution are by contrasting the instruction cost coefficient of the different teacher of same course, permissible
Select more preferable teacher, more preferable course, the video of the most a certain knowledge point.
Accompanying drawing explanation
In order to be illustrated more clearly that present application example or technical scheme of the prior art, below will to example or
In description of the prior art, the required accompanying drawing used is briefly described, it should be apparent that, in describing below
Accompanying drawing is only some examples described in the application, for those of ordinary skill in the art, is not paying
On the premise of going out creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the structural representation of Evaluation System for Teaching Quality of the present invention；
Fig. 2 is the statistical description figure that in the present invention, video observes duration；
Fig. 3 is learning cost coefficient calculation specifications figure of the present invention；
Fig. 4 is learning cost coefficient statistical report form figure of the present invention；
Fig. 5 is learning cost coefficient statistical report form figure of the present invention；
Fig. 6 is learning cost coefficient statistical report form figure of the present invention；
Fig. 7 is learning cost coefficient statistical report form figure of the present invention.
Detailed description of the invention
For making technical scheme and advantage clearer, below in conjunction with the accompanying drawing in present example,
Technical scheme in present example is carried out the most complete description:
A kind of Evaluation System for Teaching Quality as shown in Figure 1, data load-on module 1, FLEX player 2,
Data processing module 3 and data Reports module 4.
Data load-on module 1 loads video path URL corresponding with the content of courses and pass for FLEX player
The answer of the beginning and ending time of each knowledge point, exercise and the correspondence that comprise in key word, video.When this system loads
During FLEX player, XML data bag is sent on player by described data load-on module 1.Utilize each
The beginning and ending time point of knowledge point calculates the duration of this knowledge point, and accurately calculate student viewing knowledge point time
Long.Student can open examination question answer window at any time and answer when watching video study, is then shut off window
Mouth continues viewing video, it is possible to clicks on and submits to answer to complete this correctness learning and checking answer.Cause
The video of this that is FLEX player plays, its data message is to be loaded by data load-on module 1
's.
Described FLEX player 2 reads the XML data information in data load-on module, and user uses
FLEX player viewing video learns, and described FLEX player 2 records user and watches each knowledge point
F.F. in time length information, watching process and playback operation information, and each knowledge point correspondence exercise
The positive false information of answer, after user completes viewing study video, answers corresponding exercise and submit answer to,
User is sent to data at procedural information and the positive false information of answer of viewing video by described FLEX player 2
Processing module.FLEX player 2 records user when watching the temporal information of each knowledge point: when user sees
When seeing video appearance playback phenomenon, FLEX player 2 record is the total duration watching corresponding knowledge point, is somebody's turn to do
Total duration should remove the non-knowledge point time in replayed section.Such as Fig. 2, video in this students'learning
During habit a length of: t1+t2+t3+t4+t5+t6, knowledge point one is a length of when learning: t2+t4, knowledge point two learns
Shi Changwei: t5, knowledge point three learns duration: t6。
Described data processing module 3 receives the data message of FLEX player 2POST, to each user
School grade carry out comprehensive analysis and arrangement, use Bayesian formula to calculate each Students ' Learning difference course
Answer correct learning time expectation during corresponding knowledge point, this expected value is defined as learning cost coefficient.
Described data processing module 3 uses NB Algorithm to calculate the learning cost coefficient of each knowledge point
During value in the following way:
Wherein: A represents the study duration of this knowledge point, B represents that this knowledge point correspondence exercise answers letter of correcting errors
Breath, P (A) represents the study duration ratio divided by knowledge point video duration, it is considered to weighting；P (B) represents accuracy,
P (A | B) represent and answer the ratio that correct knowledge point duration accounts for video duration, it is considered to weighting, P (B | A) mean that
In unit time, the accuracy of learner answering questions video, i.e. learning cost coefficient value.Such as Fig. 3, this first student
Having learnt 1-4 tetra-and saved video, first and second joint video comprises 3 knowledge points, and third and fourth joint comprises 2 and knows
Knowing point, without F.F. and playback operation in watching process, therefore unit study duration is 1, i.e.
P (A)=10*1/10=1；Its accuracy is P (B)=7/10=0.7；Because no matter the first student answers correct errors, he
Unit study duration is 1, (A | B)=1 so P, draws P (B | A)=0.7, i.e. learn after bringing Bayesian formula into
The learning cost coefficient of this subject of raw first is 0.7, say, that the first student is learning knowledge in unit time
Point, answering correct probability is 70%, inverted to it, is the first student and answers the study of a correct problem
Duration is desired for the knowledge point duration of 1.43 times.This second student has learnt 1-4 tetra-and has saved video, first and second joint
Video comprises 3 knowledge points, and third and fourth joint comprises 2 knowledge points, in watching process without F.F. and return
Putting operation, therefore unit study duration is 1, i.e. P (A)=10*1/10=1；Second answers right 6 problems.Its
Accuracy is P (B)=6/10=0.6；Because no matter the second student answers correcting errors, his unit study duration is 1,
(A | B)=1 so P, draws P (B | A)=0.6, i.e. of this subject of the second student after bringing Bayesian formula into
Practising cost coefficient is 0.6, say, that the second student is learning knowledge point in unit time, answers correct probability
Be 60%, inverted to it, be the second student answer a correct problem study duration be desired for 1.67 times
Knowledge point duration.Shown in like manner: third have viewed twice due to first knowledge point, i.e. during study
Take the time of twice, therefore P (A)=11*1/10=1.1, P (B)=7/10=0.7, P (A | B)=
(8/7)/(11/10)=1.04, P (B | A)=0.66.Same mode: fourth classmate: P (A)=11*1/10=1.1, P (B)=
7/10=0.7, P (A | B)=(7/7)/(11/10)=0.91, P (B | A)=0.58.Additionally again see one when first classmate has
P (A) corresponding when video or when again watching twice video, P (B), P (A | B) and P (B | A) can
Record in the table, student learning cost coefficient value and student can be found out intuitively from above-mentioned calculation
Duration and the answer situation of correcting errors of watching knowledge point in learning process have direct relation.
Described data sheet module 4 receives user instruction, calls the learning cost coefficient of data processing module 3
Information, fits to the most too distribution curve of learning cost coefficient distribution, and calculates according to this most too distribution curve
The instruction cost coefficient of teacher.Fig. 4 and Fig. 5 is to based on certain subject, chapters and sections or knowledge point complete
The learning cost coefficient distribution statistics of body learner.Fig. 6 is the audio-visual picture of the quality of instruction of different teacher, logical
Cross this figure the quality of instruction of teacher to be contrasted and be analyzed.By calculating expectation and the side of Gaussian curve
Difference, assesses the teaching ability of teacher, and system is by its named instruction cost coefficient.It is contemplated to be teacher at list
In bit time, the average learning cost of church student, i.e. teacher needs to spend the unit time of how many times,
Everybody can be allowed to answer correctly, it is possible to being interpreted as within the unit interval, teacher teaches number of student and accounts for total number of persons
Ratio.Variance is the degree of stability of teaching, and variance is it is understood that teacher teaches steady to school of course
Determining degree, variance big expression Students ' Learning difference degree is big, and the degree that the little explanation of variance is grasped compares class
Seemingly.As it is shown in fig. 7, a represents expectation and variance the most variant；B represents that variance is close but it is desirable to different.
The above, the only present invention preferably detailed description of the invention, but protection scope of the present invention not office
Being limited to this, any those familiar with the art is in the technical scope that the invention discloses, according to this
The technical scheme of invention and inventive concept thereof in addition equivalent or change, all should contain the protection in the present invention
Within the scope of.
Claims (3)
1. an Evaluation System for Teaching Quality based on online education, it is characterised in that: include that data load
Module, FLEX player, data processing module and data Reports module；
Described data load-on module is the start-stop that player loads each knowledge point corresponding in teaching video contents
The answer information of time, exercise and correspondence, video path URL and keyword message, when this system loads is broadcast
When putting device, the XML data bag of video data is sent to specify the broadcasting of URL by described data load-on module
On device；
Described FLEX player read XML data bag information, record user watch each knowledge point time
Long message, F.F. or playback information and the positive false information of answer of each knowledge point correspondence exercise, work as user
After completing study and answering corresponding exercise, user learning behavior and answer are corrected errors by described FLEX player
Information sends to data processing module；
Described data processing module receives the data message of FLEX player transmission, the study to each user
Achievement carries out comprehensive analysis and arrangement, uses Bayesian formula to calculate each student based on different course, differences
Chapters and sections, different knowledge point, the correct study duration expected value answering exercise, this expected value is defined as study
Cost coefficient, the learning cost coefficient of the different knowledge points of different user is passed by described data processing module in real time
Deliver to data sheet module；
Described data sheet module receives the command information that described data processing module transmits, according to each user
The request call sent meets the learning cost coefficient value of the Ensemble learning person of request, fits to based on not classmate
Practise the most too distribution curve of the number of cost coefficient, calculate the instruction cost of this teacher according to the most too distribution curve
Coefficient also generates form.
Evaluation System for Teaching Quality based on online education the most according to claim 1, its feature also exists
In: described FLEX player record user is when watching the temporal information of each knowledge point: when user watches
When playback phenomenon occurs in video, FLEX player record is the total duration watching corresponding knowledge point, when this is total
Length should remove the non-knowledge point viewing duration in replayed section.
Evaluation System for Teaching Quality based on online education the most according to claim 1, its feature also exists
In: described data processing module is adopted when using the learning cost coefficient value of each knowledge point of Bayes theorem calculating
By following manner:
Wherein: A represents the study duration of this knowledge point, B represents that this knowledge point correspondence exercise answers letter of correcting errors
Breath, P (A) represents the study duration ratio divided by knowledge point video duration, it is considered to weighting；P (B) represents accuracy,
P (A | B) represent and answer the ratio that correct knowledge point duration accounts for video duration, it is considered to weighting, P (B | A) represent
In unit time, the accuracy of learner answering questions video, i.e. learning cost coefficient value.
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| CN106534901A (en) * | 2016-11-23 | 2017-03-22 | 广东小天才科技有限公司 | Method for pushing teaching resources and user terminal |
| CN106559709A (en) * | 2016-11-23 | 2017-04-05 | 广东小天才科技有限公司 | A kind of analysis method and server of study difficult point |
| CN106951439A (en) * | 2017-02-13 | 2017-07-14 | 广东小天才科技有限公司 | The examination question method for pushing and system of a kind of associated video |
| CN107248339A (en) * | 2017-08-11 | 2017-10-13 | 郑州升达经贸管理学院 | The servicing unit that a kind of English education teaching is used |
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| CN107248339A (en) * | 2017-08-11 | 2017-10-13 | 郑州升达经贸管理学院 | The servicing unit that a kind of English education teaching is used |
| CN109255028A (en) * | 2018-08-28 | 2019-01-22 | 西安交通大学 | Quality of instruction integrated evaluating method based on teaching evaluation data reliability |
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