CN108805400A - The quality evaluation feedback method of one mode identification - Google Patents
The quality evaluation feedback method of one mode identification Download PDFInfo
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- CN108805400A CN108805400A CN201810389521.9A CN201810389521A CN108805400A CN 108805400 A CN108805400 A CN 108805400A CN 201810389521 A CN201810389521 A CN 201810389521A CN 108805400 A CN108805400 A CN 108805400A
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- 238000000034 method Methods 0.000 title claims abstract description 27
- 238000013441 quality evaluation Methods 0.000 title claims abstract description 8
- 238000005516 engineering process Methods 0.000 claims abstract description 4
- 230000015572 biosynthetic process Effects 0.000 claims abstract description 3
- 238000003786 synthesis reaction Methods 0.000 claims abstract description 3
- 238000011156 evaluation Methods 0.000 claims description 11
- 230000000694 effects Effects 0.000 claims description 9
- 230000006399 behavior Effects 0.000 claims description 5
- 238000010276 construction Methods 0.000 claims description 2
- 230000008921 facial expression Effects 0.000 claims description 2
- 230000002452 interceptive effect Effects 0.000 claims 1
- 238000013139 quantization Methods 0.000 claims 1
- 230000003993 interaction Effects 0.000 abstract description 4
- 238000007405 data analysis Methods 0.000 abstract description 2
- 238000007418 data mining Methods 0.000 abstract description 2
- 238000003909 pattern recognition Methods 0.000 abstract 1
- 238000004458 analytical method Methods 0.000 description 2
- 238000012800 visualization Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 1
- 230000001815 facial effect Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000035772 mutation Effects 0.000 description 1
- 238000001303 quality assessment method Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
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- G—PHYSICS
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- 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
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- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
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Abstract
It is the subjects such as image model and identification, data mining, pedagogy, educational psychology that this method, which is related to field, the multinomial data target demand big data analysis such as behavior, expression are carried out using image pattern recognition, it is that auxiliary data reference is formed with existing wisdom classroom interaction data, generate comprehensive big data feedback index, the technological synthesis feature：Standardization, objective Classroom instruction quality evaluation criterion method are established using big data；Utilize existing Intelligent campus device resource；It is imparted knowledge to students using mode identification technology, management system is changed to be promoted and does power-assisted；Horizontal discipline builds application example.
Description
Technical field
It is the subjects such as image model and identification, data mining, pedagogy, educational psychology that this method, which is related to field,.
Background technology
Existing teaching evaluation feedback system judges the stage also in subjective consciousness, is listened to the teacher with feeding back, working together after students in class
The subjective judgements stages such as feedback, experts' evaluation feedback.
The development in existing wisdom classroom has been in each multimedia equipment and has been added on classroom interaction one after another, such as remote recording
Classroom is attended class situation, multimedia equipment classroom interaction etc..
But for establishing standardization, the objective teaching quality evaluation of digitization, feedback method temporarily also using big data
Nobody propose, this method be establish this kind evaluation, feedback method effective ways.
Invention content
This method can effectively promote the objectivity of teaching evaluation data, the indexs such as standard.Directly by subjectivity teaching matter
Amount assessment becomes the teaching evaluation of objective data, which knows with pattern
Other subject knowledge combining with teaching actual assessment inspection target digitization standard carries out the product of practical application.
This method can form system and carry out independent Quality Feedback evaluation, can also be used as a kind of algorithm progress wisdom school
Some subsystem of garden comprehensive platform or the subfunction in wisdom classroom are realized.
This method mainly on student classroom or activity when facial expression and behavior carry out judging its quality of attending class.Profit
With the existing algorithm about micro- expression both at home and abroad（Facial Action Coding System）With Activity recognition algorithm conduct
Basic algorithm carries out mutation improvement and then is identified, and the judgement of root setting general-purpose judges that carrying out analysis into algorithm sentences with specific
It is fixed.Related data and data to generate course or full range of movement analyze and determine as a result, and exporting and visualization interface number
According to or figure.And digitized every class score value is formed, each fractional value and TOP SCORES numerical value, wherein gross score of itemizing
Value is calculated jointly by general criterion and specific criterion.
This method is not limited to Teaching Quality Assessment feedback and can be used for activity or meeting.
This method the existing resource of camera can carry out digital independent analysis from the wisdom classroom of existing Intelligent campus
Judgement, can also particular orientation addition camera carry out digital independent analytical judgment, the more matchmakers of interaction in wisdom classroom can be added
Body device data carries out the linear comprehensive Classroom instruction quality data analysis feedback production visualization result of a class.
The judgement result that this method or system generate can provide digitization for teaching evaluation, standardize, unitized comments
Sentence feedback constitution.Or demand event mass effect, the activity of training quality effect or lecture, course carry out judge formula
Quality Feedback is evaluated.
The technological synthesis feature：Standardization, objective Classroom instruction quality evaluation criterion method are established using big data；Utilize existing wisdom
School equipment resource；It is imparted knowledge to students using mode identification technology, management system is changed to be promoted and does power-assisted；Horizontal discipline construction application
Example.
Description of the drawings：
Fig. 1 is substantially flow chart
Fig. 2 is virtual branch's selected data data percentage pie chart
Fig. 3 is the dotted distribution map of data of playing truant in virtual data.
Claims (8)
1. a kind of classroom be identified, analyzed according to facial expression, behavior act, judged, movable mass evaluation, feedback side
Method.
2. this method can set some quantizations for the teacher, student for meeting its Teaching Characteristic according to distinctive or different course
Expression, behavior set the teacher of academic course, the expression of student and behavior as optionally generally sentencing as basis for estimation
Determine foundation.
3. this method can be according to distinctive or different activity setting meets some behaviors for participating in groups or individuals, expression is commented
Standard is sentenced, to carry out the situation feedback of activity；Quality evaluation.
4. this method can select addition wisdom classroom electronic equipment interactive data, comprehensive Classroom instruction quality evaluation, feedback are carried out
Method.
5. this method may be implemented in Classroom instruction quality feedback about teachers ' teaching quality, the evaluation of student's assimilation effect and anti-
Feedback, can be as a class or the paragraph type evaluation feedback method of movable teacher's self-recision Teaching Methods.
6. classroom feedback, evaluation system can be created as according to described 1,2 method, wisdom classroom total system can also be used as
Subsystem is embedded or addition this method function.
7. the method according to described 1,2 can be carried out using the student of the video record equipment in existing wisdom classroom, teacher's image
Identify, analyze, judging the classroom entirety course or movable mass, can also install meet the video equipment of system requirements parameter into
Row image reading.
8. the technological synthesis feature：Standardization, objective Classroom instruction quality evaluation criterion method are established using big data；Utilize existing intelligence
Intelligent school equipment resource；It is imparted knowledge to students using mode identification technology, management system is changed to be promoted and does power-assisted；Horizontal discipline construction is answered
Use example.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810389521.9A CN108805400A (en) | 2018-04-27 | 2018-04-27 | The quality evaluation feedback method of one mode identification |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810389521.9A CN108805400A (en) | 2018-04-27 | 2018-04-27 | The quality evaluation feedback method of one mode identification |
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| Publication Number | Publication Date |
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| CN108805400A true CN108805400A (en) | 2018-11-13 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201810389521.9A Pending CN108805400A (en) | 2018-04-27 | 2018-04-27 | The quality evaluation feedback method of one mode identification |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111787344A (en) * | 2020-07-06 | 2020-10-16 | 腾讯科技（深圳）有限公司 | Multimedia interaction method and related equipment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204740631U (en) * | 2015-07-28 | 2015-11-04 | 佛山市智力科技有限公司 | Teaching feedback system based on RFID wireless Intelligence card |
| CN106023693A (en) * | 2016-05-25 | 2016-10-12 | 北京九天翱翔科技有限公司 | Education system and method based on virtual reality technology and pattern recognition technology |
| CN106205243A (en) * | 2016-07-11 | 2016-12-07 | 广州伟度计算机科技有限公司 | A kind of teaching system for aided education process and teaching method |
| CN106971359A (en) * | 2017-03-25 | 2017-07-21 | 广州市义加网络科技有限公司 | A kind of Intelligent campus tutoring system |
| CN107316261A (en) * | 2017-07-10 | 2017-11-03 | 湖北科技学院 | A kind of Evaluation System for Teaching Quality based on human face analysis |
| CN107958351A (en) * | 2017-12-26 | 2018-04-24 | 重庆大争科技有限公司 | Teaching quality assessment cloud service platform |
-
2018
- 2018-04-27 CN CN201810389521.9A patent/CN108805400A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204740631U (en) * | 2015-07-28 | 2015-11-04 | 佛山市智力科技有限公司 | Teaching feedback system based on RFID wireless Intelligence card |
| CN106023693A (en) * | 2016-05-25 | 2016-10-12 | 北京九天翱翔科技有限公司 | Education system and method based on virtual reality technology and pattern recognition technology |
| CN106205243A (en) * | 2016-07-11 | 2016-12-07 | 广州伟度计算机科技有限公司 | A kind of teaching system for aided education process and teaching method |
| CN106971359A (en) * | 2017-03-25 | 2017-07-21 | 广州市义加网络科技有限公司 | A kind of Intelligent campus tutoring system |
| CN107316261A (en) * | 2017-07-10 | 2017-11-03 | 湖北科技学院 | A kind of Evaluation System for Teaching Quality based on human face analysis |
| CN107958351A (en) * | 2017-12-26 | 2018-04-24 | 重庆大争科技有限公司 | Teaching quality assessment cloud service platform |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111787344A (en) * | 2020-07-06 | 2020-10-16 | 腾讯科技（深圳）有限公司 | Multimedia interaction method and related equipment |
| CN111787344B (en) * | 2020-07-06 | 2023-10-20 | 腾讯科技（深圳）有限公司 | Multimedia interaction method and device, electronic equipment and storage medium |
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Application publication date: 20181113 |