CN108154304A - There is the server of Teaching Quality Assessment - Google Patents
There is the server of Teaching Quality Assessment Download PDFInfo
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Abstract
The present invention relates to Education Administration Information System technical fields, it is specially a kind of that there is the server of Teaching Quality Assessment, including data memory module, assessment management module, data analysis module, data evaluation module, assessment management module is used for the acquisition and transmission that data acquisition equipment is controlled to carry out classroom data；Data analysis module is used to analyze classroom data；Data evaluation module includes：Attendance evaluation module, for the recognition result according to recognition of face submodule and course master data generation student attendance data；Statistical module is assessed, for generating the Curriculum Evaluation result of the course according to classroom assessment data record and updating storage mould Curriculum Evaluation result in the block.It is provided by the invention that there is the server of Teaching Quality Assessment, it can solve the problems, such as that existing Teaching Quality Assessment is cumbersome time-consuming in the presence of very big randomness and subjectivity, statistic processes in the process.
Description
Technical field
The present invention relates to Education Administration Information System technical fields, have the function of Teaching Quality Assessment in particular to one kind
Server.
Background technology
Expert's assessment of supervising and guiding is a kind of mode common in teaching quality evaluation.Since the expert for being responsible for assessment has oneself
Management work, teaching and research work, so the class of working time and the teacher to be evaluated of expert often occurs
The situation of journey time conflict and situation about listening to the teacher can not be gone, expert have to investigate course next time, this can undoubtedly spin out and entirely comment
Estimate the period, reduce assessment efficiency.
With advances in technology, digital management system is applied to more and more widely in modern classroom teaching.It is teaching
The indoor corresponding data acquisition equipment of arrangement can collect the indoor classroom data of religion in real time, for example, by camera and
Microphone is come to obtain the indoor video data of religion and audio data be very common monitoring means, by will be collected
Video data and audio data store, can be for checking solve expert and class to a certain extent after inspection expert days
The problem of journey time conflict, but it is still what is evaluated by manual analysis, still remains the problem of subjectivity is big, and
Expert still needs that the identical time is spent to go to hear out a class journey, and in order to save the time, expert is typically to be saved with teacher one or two
The problem of whole subject is judged in the performance of class, and the range that this there will naturally be sampling is too small, and contingency is larger, can not be comprehensively true
Ground reflects the quality of instruction of teacher.
Invention content
The invention is intended to provide it is a kind of there is the server of Teaching Quality Assessment, existing quality of instruction can be solved and commented
There is the problem of very big randomness and subjectivity, statistic processes is cumbersome time-consuming during estimating.
In order to solve the above-mentioned technical problem, this patent provides following basic technology scheme：
There is the server of Teaching Quality Assessment, including data memory module, assessment management module, data analysis mould
Block, data evaluation module；
The data memory module is stored with the lesson data of course to be assessed, and the lesson data includes course basic number
According to, identification data, classroom assessment data record and Curriculum Evaluation result；
The assessment management module is used to control corresponding classroom according to the lesson data of course to be assessed in memory module
Interior data acquisition equipment carries out the acquisition and transmission of classroom data；
The data analysis module include analysis module, the analysis module include recognition of face submodule and
Action recognition submodule, the recognition of face submodule are used to identify the body of personnel in video data according to identification data
Part, the action recognition submodule is used to identify video data middle school student action or posture；
Data evaluation module includes：
Attendance evaluation module, the attendance evaluation module are used for according to the recognition result of recognition of face submodule and course base
Notebook data generates student attendance data；
Interactive evaluation module, the interactive evaluation module are used to count teachers and students according to the recognition result of action recognition submodule
Interactive number data；
Enthusiasm evaluation module, the enthusiasm evaluation module are used for recognition result and class according to action recognition submodule
Journey master data generates Students' enthusiasm data；
Statistical module is assessed, the assessment statistical module is used to comment in the classroom of classroom assessment data update to memory module
Estimate in data record, while the Curriculum Evaluation result of the course is generated according to classroom assessment data record and is updated storage in module
Curriculum Evaluation as a result, the classroom assessment data include student attendance data, student acts discipline data, interactive number data
With Students' enthusiasm data.
The lesson data with assessment course is stored in technical solution of the present invention, in data memory module, including course base
Notebook data, such as class period, place of attending class, the teacher that attends class, number of student, assessment management module can according to the class period and
Place of attending class automatically controls the acquisition that indoor data acquisition equipment is taught to carry out classroom data accordingly, then by data analysis mould
Block is analyzed, and data evaluation module is further according to the analysis result Emergent Curriculum assessment result of data analysis module.Video analysis
Module can carry out recognition of face and action recognition to video data, so as to identify the student and teacher in video data,
Attendance evaluation module can calculate the rate of attendance of this class, late rate, rate of leaving early etc. according to the recognition result of recognition of face and examine
Diligent data, interactive evaluation module according to action recognition as a result, the action that student raises one's hand can be filtered out, interactive evaluation module according to
Classroom can be divided into multiple and different interaction time sections, and then can obtain classroom interactions by the time interval that student raises one's hand
Number data, the quantity that enthusiasm evaluation module is raised one's hand according to student, then by calculating accordingly, such as calculate and raise one's hand student's
Accounting, you can obtain Students' enthusiasm data, assessment statistical module has counted above-mentioned several data together is used as this section
The classroom assessment data of class, and this assessment data is recorded in the classroom assessment data record of data memory module, then
All classroom assessments record in classroom assessment data record is added up, ultimately generates the Curriculum Evaluation result of whole subject
And it is synchronized in data memory module.
Assessment management module can control the data acquisition equipment automatic collection record in the classroom where course to be assessed every
The classroom data of one class are specially gone to listen to the teacher without special messenger, be commented by attendance evaluation module, interactive evaluation module and enthusiasm
Estimate module and generate classroom assessment data in terms of student attendance, interactive number, question and answer enthusiasm three, student attendance shows religion
Ability in terms of the class management of teacher, interactive number then embody the teaching method of teacher and the control ability of classroom atmosphere, ask
Answer the ability in terms of enthusiasm then embodies the teaching method and teaching efficiency of teacher, and pass through assess statistical module by these three
Aggregation of data gets up, and all generates classroom assessment to each class as a result, need not manually evaluate, simple and convenient efficient, more
It is objective and just to add, and finally accumulative each section can obtain the final Curriculum Evaluation of classroom assessment result generation as a result, teacher is every
The classroom performance of one class is all included in final Curriculum Evaluation, and sample range is big, and randomness is small, can be more really and accurately
React the teaching level and quality of instruction of teacher.
Further, the interactive evaluation module includes raise one's hand action record submodule, division submodule, interactive record submodule
Video data middle school student are raised one's hand action on time by block, the action record submodule of raising one's hand for the result according to action recognition
Between record successively, it is described divide submodule be used for according to adjacent two raise one's hand action between time difference by whole class journey draw
Be divided into different interactive sections, the interaction record sub module be used to count the number in interactive section and using the result of statistics as
Classroom interactions' number data.
The interval difference raised one's hand by video data detection between action, will be greater than preset value and raises one's hand to be divided into not twice
Same interaction, the interactive number of automatic record are simple and quick without other sensors.
Further, the enthusiasm evaluation module includes raise one's hand number statistic submodule, enthusiasm data computational submodule,
The number statistic submodule of raising one's hand can count student on classroom according to the action of raising one's hand for action record submodule record of raising one's hand
Total number of raising one's hand, the enthusiasm computational submodule is based on according to student total raise one's hand number and classroom interactions' number data
Calculate the number of raising one's hand that is averaged interactive every time, the enthusiasm computational submodule, which is additionally operable to calculate number of averagely raising one's hand, accounts for total people that turns out for work
Several ratios, and using the ratio as Students' enthusiasm data.
The ratio that total number of persons of turning out for work is accounted for by calculating number of averagely raising one's hand is used as Students' enthusiasm data, can eliminate difference
The image that course is brought due to the difference of course number of student itself, it is more fair.
Further, the data analysis module further includes audio analysis submodule, and the audio analysis submodule is used to know
The speech content of other Faculty and Students；Data evaluation module further includes teacher's violation assessment module, teacher's violation assessment mould
Block is used to count violation language described in teachers according to teacher's speech content and generates language violation data, described
Classroom assessment data further include language violation data.
By acquiring audio and analysis audio, the speech contents of Faculty and Students can be obtained, it can further profit
Teachers ' teaching quality is evaluated with audio data, increases the accuracy of evaluation.
The content of teachers is screened by violation assessment module, and counts the violation language of teacher, prevents teacher to student
Conduct incorrect thought, for example, abuse student, jump on someone, complaint of complaining, propagate incorrect values, anti-government,
It is antihuman etc..Sense of responsibility, political, outlook on life, the values of teacher can be embodied by language violation data, it can be more complete
It appraises the teacher in face.
Further, the data evaluation module further includes classroom discipline evaluation module, and the classroom discipline evaluation module is used
According to the recognition result of action recognition submodule generate student act discipline data, the audio analysis submodule be additionally operable to from
The noise of student's upper class hour was obtained in audio data, the classroom discipline evaluation module was additionally operable to the noise according to student's upper class hour
Student's sound discipline data are generated, the classroom assessment data further include student and act discipline data and student's sound discipline number
According to.
Classroom discipline evaluation module can show that student acts discipline by counting the student's quantity slept, bow, walked about
Data can reflect classroom discipline, and then embody the managerial ability of teacher, can also be from the opposing party by the noise of upper class hour
React classroom discipline in face, and the two combines, and can react the discipline situation in classroom comprehensively, and then can more comprehensive scientificity
Quality of instruction.
Further, teaching notes document creation module is further included, the data memory module is additionally operable to storage teaching notes document, described
Teaching notes document creation module is used for teachers content transformation character file and to be archived in data memory module.
Facilitate the record content of courses, for checking in the future.
Description of the drawings
Fig. 1 is data analysis module and data assessment in the server example with Teaching Quality Assessment of the invention
The logic diagram of module.
Specific embodiment
Below by specific embodiment, the present invention is described in further detail：
The present embodiment has the function of that the server of Teaching Quality Assessment needs and be arranged on the indoor data acquisition equipment of religion
It is used in conjunction with, specifically：
Data acquisition equipment is arranged in each classroom, and data acquisition equipment includes classroom data acquisition module, terminal control
Molding block and network communication module, terminal control module are connect by network communication module with server network, terminal control mould
Block can control classroom data collecting module collected classroom data according to the control signal of server and by classroom data acquisition module
The classroom data of block acquisition are sent to server.
Classroom data include video data and audio data, and classroom data acquisition module includes video data acquiring submodule
With audio data collecting submodule, the video data and audio data being respectively used in acquisition teacher, video data acquiring module
Can be the high-definition camera being arranged in classroom, in order to comprehensively obtain the indoor video data of religion, camera can be with
Set multiple, the algorithm then synthesized by image gets up the image mosaic of each camera, similarly audio data collecting mould
Block may be to be evenly distributed on religion indoor microphone composition, synthesize final audio data by audio algorithm, at audio
Adjustment method and the Processing Algorithm of video image can use existing technology, as long as can ensure that video acquisition module can
The range in entire classroom is covered, collects the face and limb action of all students and teacher in classroom, audio collection mould
Block can collect the normal one's voice in speech of any one student in classroom, and details are not described herein.
Server includes data memory module, assessment management module, data analysis module, teaching notes document creation module sum number
According to evaluation module；
Data memory module is stored with other data and the lesson data of course to be assessed, and it is basic that lesson data includes course
Data, identification data, classroom assessment data record, Curriculum Evaluation result, course content data, teaching notes document etc.；Course
Master data includes course class period, place of attending class, the lecturer that attends class, number of student of attending class etc., and identification data includes complete
The proprietary facial recognition data of school teachers and students, course content data include course set point keyword, emphasis knowledge point keyword
Include violation language keyword Deng, other data.
Assessment management module can accordingly teach indoor according to the control of the lesson data of course to be assessed in memory module
Data acquisition equipment carries out the acquisition and transmission of classroom data；
As shown in Figure 1, data analysis module includes analysis module and audio analysis submodule.
Analysis module includes recognition of face submodule and action recognition submodule, and recognition of face submodule is used to identify
Locate the Faculty and Students in video data, action recognition submodule is used to identify video data middle school student action or posture, this reality
It applies in example, action recognition module is mainly used for identifying student's heads-down posture, student's sleeping position, student action and student on foot
It raises one's hand to act, the technical solution of face recognition technology scheme and action recognition is the prior art.
Audio analysis submodule includes vocal print code separation submodule, semantics recognition submodule and noise extracting sub-module,
Vocal print code separation module is used to be carried out the audio of Faculty and Students from audio data according to the vocal print code characteristic of teacher
Separation, semantics recognition submodule are used to identify the speech content of Faculty and Students, use existing recognizer, noise extraction
Submodule is used for the extraction from audio data and teaches indoor noise data.
Audio analysis specifically includes following steps：
Step 1：Audio analysis submodule is according to vocal print code feature by the audio of teacher in audio data and the audio of student
Separation；
Step 2：Audio analysis submodule carries out speech recognition conversion to the audio of teacher and the audio of student；
Step 3：Audio analysis submodule obtained the environmental noise data of student's upper class hour from audio data.
Data evaluation module includes attendance evaluation module, classroom discipline evaluation module, interactive evaluation module, enthusiasm assessment
Module, knowledge point evaluation module, master degree evaluation module, teacher's violation assessment module and assessment statistical module.
Attendance evaluation module includes teacher's attendance submodule and student attendance submodule, is respectively used to according to recognition of face
The recognition result generation student attendance data and teacher's attendance data of module, specifically, student attendance data student is late rate, arrive
Whether diligent rate, rate of leaving early, teacher's attendance data include whether to be late, leave early.
Classroom discipline evaluation module is used to generate student's action discipline data according to the recognition result of action recognition submodule,
It is additionally operable to generate student's sound discipline data according to the noise data of student's upper class hour；
Interactive evaluation module, which is used to detecting student according to the recognition result of action recognition submodule, raises one's hand behavior, and according to
Raw action statistics classroom interactions' number data of raising one's hand.
The step of interactive evaluation module is assessed specifically includes following steps：
Step 1：Action recognition module identification student's raises one's hand to act, and the acquisition of interactive evaluation module raises one's hand to act each time
At the beginning of；
Step 2：The action of raising one's hand that time started difference is less than preset value by interactive evaluation module is divided into primary mutual
Dynamic, the action of raising one's hand that time started difference is more than to preset value is divided into different interactions；
Step 3：The interactive total degree of interactive evaluation module statistics is as classroom interactions' number data.
Enthusiasm evaluation module is used to raise one's hand what is answered a question according to the recognition result statistic of action recognition submodule
Number, and the percentage that the number accounts for total class size is calculated, and using the percentage as Students' enthusiasm data.
The appraisal procedure of enthusiasm evaluation module specifically includes following steps：
Step 1：The number raised one's hand in each interaction of enthusiasm evaluation module statistics；
Step 2：Enthusiasm evaluation module calculates the number of raising one's hand that is averaged interactive every time according to classroom interactions' number data；
Step 3：Enthusiasm evaluation module calculates the averagely number of raising one's hand and accounts for class's total number of persons ratio, and using the ratio as
Students' enthusiasm data.
Knowledge point evaluation module includes knowledge point matched sub-block, knowledge point quantity statistics submodule, emphasis assessment submodule
Block and ranging assessments submodule, knowledge point matched sub-block are crucial for matching preset knowledge point from the content of teachers
Word, knowledge point quantity statistics submodule are able to record the number for the knowledge point told about during teachers and each knowledge
The frequency that point occurs, the frequency that emphasis assessment submodule can occur according to knowledge point generate data of giving prominence to the key points, ranging assessments
Submodule can generate knowledge point range data according to the number of knowledge point；Specifically, in the present embodiment, data memory module
In be stored with the emphasis knowledge point keyword of the course, emphasis assessment submodule can choose the knowledge point frequency of occurrences highest five
A knowledge point vocabulary is matched with emphasis knowledge point keyword, and the number of record matching is as data of giving prominence to the key points, range
Estimate that submodule can be using the percentage of knowledge point Zhan Zong knowledge points occurred as knowledge point range data.
Knowledge point assessment specifically includes following steps：
Step 1：Knowledge point evaluation module carries out the knowledge point keyword of teacher's speech content and the curricular standard
Match, the frequency number of the number of statistical knowledge point and the appearance of each knowledge point；
Step 2：Knowledge point evaluation module is by the emphasis knowledge point of first five highest knowledge point of frequency and the curricular standard
Keyword is matched, and the number of record matching simultaneously will record result as data of giving prominence to the key points；
Step 3：The knowledge point number that knowledge point evaluation module calculates the appearance of this course accounts for the course set point number
Percentage, and using the percentage as knowledge point range data.
Master degree evaluation module includes problem matched sub-block, answer verification submodule and accuracy statistic submodule, asks
Topic matched sub-block can match preset key to the issue word from teacher's speech content, and answer verification submodule is learned for matching
With the relevant answer vocabulary of the key to the issue word in the raw answer answered, accuracy statistic submodule is for statistic question and answer
Accuracy.
Teacher's violation assessment module includes violation language matched sub-block, violation word statistic submodule and the life of language violation data
Into submodule, violation language matched sub-block is used for according to teacher's speech content to violation language progress described in teachers
Match, violation word statistic submodule counts the quantity of violation language, language violation data generate submodule according to the quantity of violation language and
Each the corresponding score value of violation language calculates final language violation data.
Statistical module is assessed, student attendance data, student are acted discipline data, student's sound discipline by assessment statistical module
Data, language violation data, teacher's attendance data, question and answer accuracy, knowledge point data, classroom interactions' number and Students' enthusiasm
Aggregation of data is the classroom assessment data of this course, and assessment statistical module is capable of all classroom assessment data of Statistics Course,
And the average value of each item data in classroom assessment data is calculated, and according to preset weight and score value, each item data is obtained
Mean scores, the total scores of all data item, the Curriculum Evaluation result using the score as the course is finally obtained.
Teaching notes document creation module is used to be character file by teachers content transformation and is archived to data memory module
In.
Student grouping division module is further included, video data acquiring submodule is additionally operable to review one's lessons indoor regard in acquisition student
Frequency evidence, analysis module also are able to analytics and are born from course described in the textbook seen during habit, student grouping division module
Can when reviewing one's lessons of student in room for individual study be recorded according to analysis module recognition of face and the analysis result for the course reviewed one's lessons
Between, duration, the course reviewed one's lessons etc., and the student for taking part in course to be assessed is found out from the student reviewed one's lessons, with according to these students
The student for reviewing one's lessons duration for reviewing one's lessons duration, filtering out that time for being spent on the course weekly is more than preset value, (the present embodiment
Middle preset duration is 4 hours weekly), these students are the student diligently made great efforts, and student grouping division module obtains these
The score (achievement of such as interim test, the achievement of usually classroom test) of course detection during life, if there is student's class
The detection score of journey usually cannot be up to standard, and Passing Criteria takes full class's mean scores in the present embodiment, although then illustrating these students
Diligent effort, but learning method, there are problem, student grouping division module selects the usual performance of the course as before full class
20% Ontario Scholar, and these preferred students and learning method student of problems are divided into the same of the course at random
Movable group, such as preferred student have 20 people, and learning method student of problems has 20 people, then can be according to the specific rule of course
Then, divide 4 people, one group or 6 one group of people, and ensure there is preferred student and learning method student of problems in every group, make
Some are participated on their courses afterwards jointly to discuss or subject activity so that the classmate succeeded in school can aprowl by
Learning method student of problems the course learning is provided in terms of skill.
Above is only the embodiment of the present invention, and the common sense such as well known concrete structure and characteristic are not made excessively herein in scheme
Description, all common of technical field that the present invention belongs to before one skilled in the art know the applying date or priority date
Technological know-how can know the prior art all in the field, and with using routine experiment means before the date
Ability, one skilled in the art with reference to self-ability can improve under the enlightenment that the application provides and implement we
Case, some typical known features or known method should not become the barrier that one skilled in the art implement the application
Hinder.It should be pointed out that for those skilled in the art, without departing from the structure of the invention, if can also make
Dry modification and improvement, these should also be considered as protection scope of the present invention, these all do not interfere with the effect that the present invention implemented and
Practical applicability.The scope of protection required by this application should be based on the content of the claims, the specific reality in specification
Apply the content that the records such as mode can be used for explaining claim.
Claims (6)
1. there is the server of Teaching Quality Assessment, it is characterised in that：Including data memory module, assessment management module,
Data analysis module, data evaluation module；
The data memory module is stored with the lesson data of course to be assessed, the lesson data include course master data,
Identification data, classroom assessment data record and Curriculum Evaluation result；
The assessment management module is used to be taught accordingly according to the control of the lesson data of course to be assessed in memory module indoor
Data acquisition equipment carries out the acquisition and transmission of classroom data；
The data analysis module includes analysis module, and the analysis module includes recognition of face submodule and action
Identify submodule, the recognition of face submodule is used to identify the identity of personnel in video data, institute according to identification data
Action recognition submodule is stated for identifying video data middle school student action or posture；
Data evaluation module includes：
Attendance evaluation module, the attendance evaluation module are used for according to the recognition result of recognition of face submodule and course basic number
According to generation student attendance data；
Interactive evaluation module, the interactive evaluation module are used to count classroom interactions according to the recognition result of action recognition submodule
Number data；
Enthusiasm evaluation module, the enthusiasm evaluation module are used for according to the recognition result of action recognition submodule and course base
Notebook data generates Students' enthusiasm data；
Statistical module is assessed, the assessment statistical module is used for the classroom assessment number of classroom assessment data update to memory module
According in record, while the Curriculum Evaluation result of the course is generated according to classroom assessment data record and updates storage mould class in the block
Journey assessment result, the classroom assessment data include student attendance data, student's action discipline data, interactive number data and
Raw enthusiasm data.
2. according to claim 1 have the function of the server of Teaching Quality Assessment, it is characterised in that：The interactive evaluation
Module includes raise one's hand action record submodule, division submodule, interactive record sub module, the action record submodule use of raising one's hand
The action of raising one's hand of video data middle school student is temporally recorded successively in the result according to action recognition, the division submodule is used
Whole class journey is divided into different interactive sections, the interaction by the time difference between action of being raised one's hand according to adjacent two
Record sub module is used to count the number in interactive section and using the result of statistics as classroom interactions' number data.
3. according to claim 1 have the function of the server of Teaching Quality Assessment, it is characterised in that：The enthusiasm is commented
Estimate module to include raising one's hand number statistic submodule, enthusiasm data computational submodule, it is described raise one's hand number statistic submodule can
According to the total number of raising one's hand of student on the action statistics classroom of raising one's hand for action record submodule record of raising one's hand, the enthusiasm calculates
Submodule is used for according to student total raise one's hand number and each interactive number of raising one's hand that is averaged of classroom interactions' number data calculating, institute
Enthusiasm computational submodule is stated to be additionally operable to calculate the ratio that number of averagely raising one's hand accounts for total number of persons of turning out for work, and using the ratio as student
Enthusiasm data.
4. according to claim 1 have the function of the server of Teaching Quality Assessment, it is characterised in that：The data analysis
Module further includes audio analysis submodule, and the audio analysis submodule is used to identify the speech content of Faculty and Students；Data
Evaluation module further includes teacher's violation assessment module, and teacher's violation assessment module is used for according to teacher's speech content to teacher
Described violation language is counted and generates language violation data in teaching, and the classroom assessment data further include language violation number
According to.
5. according to claim 4 have the function of the server of Teaching Quality Assessment, it is characterised in that：The data assessment
Module further includes classroom discipline evaluation module, and the classroom discipline evaluation module is used for the identification knot according to action recognition submodule
Fruit generation student acts discipline data, and the audio analysis submodule is additionally operable to obtain making an uproar for student's upper class hour from audio data
Sound, the classroom discipline evaluation module are additionally operable to generate student's sound discipline data, the class according to the noise of student's upper class hour
Hall assessment data further include student and act discipline data and student's sound discipline data.
6. according to any one of claims 1 to 5 have the function of the server of Teaching Quality Assessment, it is characterised in that：Also
Including teaching notes document creation module, the data memory module is additionally operable to storage teaching notes document, the teaching notes document creation module
For teachers content transformation for character file and to be archived in data memory module.
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| CN201711438007.1A CN108154304A (en) | 2017-12-26 | 2017-12-26 | There is the server of Teaching Quality Assessment |
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| CN201711438007.1A CN108154304A (en) | 2017-12-26 | 2017-12-26 | There is the server of Teaching Quality Assessment |
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Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108600674A (en) * | 2018-07-11 | 2018-09-28 | 南京森林警察学院 | Put into practice recorder |
| CN109242305A (en) * | 2018-09-04 | 2019-01-18 | 深圳至宝网络科技有限公司 | Instructional Design quality evaluating method based on learning behavior |
| CN109243228A (en) * | 2018-11-12 | 2019-01-18 | 重庆靶向科技发展有限公司 | A kind of intelligence teaching platform system |
| CN109359613A (en) * | 2018-10-29 | 2019-02-19 | 四川文轩教育科技有限公司 | A kind of teaching process analysis method based on artificial intelligence |
| CN109670999A (en) * | 2018-12-29 | 2019-04-23 | 重庆工商职业学院 | Overturn classroom instruction management system |
| CN109949189A (en) * | 2019-03-13 | 2019-06-28 | 上海复岸网络信息科技有限公司 | A kind of online teaching interaction effect evaluation method and device |
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| CN111079113A (en) * | 2019-12-13 | 2020-04-28 | 柳州铁道职业技术学院 | Teaching system with artificial intelligent control and use method thereof |
| CN111275345A (en) * | 2020-01-22 | 2020-06-12 | 重庆大学 | Classroom informatization evaluation and management system and method based on deep learning |
| CN111311981A (en) * | 2018-12-12 | 2020-06-19 | 范例 | Intelligent classroom that multidata supported |
| CN111401797A (en) * | 2020-05-09 | 2020-07-10 | 华南师范大学 | Teaching quality evaluation method and system |
| CN111401100A (en) * | 2018-12-28 | 2020-07-10 | 广州市百果园信息技术有限公司 | Video quality evaluation method, device, equipment and storage medium |
| CN111553218A (en) * | 2020-04-20 | 2020-08-18 | 南京医科大学 | Intelligent medical skill teaching monitoring system based on human body posture recognition |
| CN112669177A (en) * | 2019-10-16 | 2021-04-16 | 北京三好互动教育科技有限公司 | Questioning person number counting method and device |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104299178A (en) * | 2014-07-11 | 2015-01-21 | 北京神州智联科技有限公司 | Facial-recognition-based network teaching method and system |
| CN106228293A (en) * | 2016-07-18 | 2016-12-14 | 重庆中科云丛科技有限公司 | teaching evaluation method and system |
| CN106331695A (en) * | 2016-08-24 | 2017-01-11 | 合肥数酷信息技术有限公司 | Video and audio-based detection and data analysis system |
| CN106851216A (en) * | 2017-03-10 | 2017-06-13 | 山东师范大学 | A kind of classroom behavior monitoring system and method based on face and speech recognition |
| CN107085721A (en) * | 2017-06-26 | 2017-08-22 | 厦门劢联科技有限公司 | A kind of intelligence based on Identification of Images patrols class management system |
| CN107146177A (en) * | 2017-04-21 | 2017-09-08 | 阔地教育科技有限公司 | A kind of tutoring system and method based on artificial intelligence technology |
| CN107316257A (en) * | 2017-06-06 | 2017-11-03 | 南京信息工程大学 | A kind of Method of Teaching Quality Evaluation analyzed based on classroom students ' behavior and 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 |
| CN107491890A (en) * | 2017-08-29 | 2017-12-19 | 广州思涵信息科技有限公司 | One kind can quantify Classroom Teaching Quality Assessment system and method |
-
2017
- 2017-12-26 CN CN201711438007.1A patent/CN108154304A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104299178A (en) * | 2014-07-11 | 2015-01-21 | 北京神州智联科技有限公司 | Facial-recognition-based network teaching method and system |
| CN106228293A (en) * | 2016-07-18 | 2016-12-14 | 重庆中科云丛科技有限公司 | teaching evaluation method and system |
| CN106331695A (en) * | 2016-08-24 | 2017-01-11 | 合肥数酷信息技术有限公司 | Video and audio-based detection and data analysis system |
| CN106851216A (en) * | 2017-03-10 | 2017-06-13 | 山东师范大学 | A kind of classroom behavior monitoring system and method based on face and speech recognition |
| CN107146177A (en) * | 2017-04-21 | 2017-09-08 | 阔地教育科技有限公司 | A kind of tutoring system and method based on artificial intelligence technology |
| CN107316257A (en) * | 2017-06-06 | 2017-11-03 | 南京信息工程大学 | A kind of Method of Teaching Quality Evaluation analyzed based on classroom students ' behavior and system |
| CN107085721A (en) * | 2017-06-26 | 2017-08-22 | 厦门劢联科技有限公司 | A kind of intelligence based on Identification of Images patrols class management 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 |
| CN107491890A (en) * | 2017-08-29 | 2017-12-19 | 广州思涵信息科技有限公司 | One kind can quantify Classroom Teaching Quality Assessment system and method |
Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108600674A (en) * | 2018-07-11 | 2018-09-28 | 南京森林警察学院 | Put into practice recorder |
| CN109242305A (en) * | 2018-09-04 | 2019-01-18 | 深圳至宝网络科技有限公司 | Instructional Design quality evaluating method based on learning behavior |
| CN109359613A (en) * | 2018-10-29 | 2019-02-19 | 四川文轩教育科技有限公司 | A kind of teaching process analysis method based on artificial intelligence |
| CN109243228A (en) * | 2018-11-12 | 2019-01-18 | 重庆靶向科技发展有限公司 | A kind of intelligence teaching platform system |
| CN109243228B (en) * | 2018-11-12 | 2021-03-23 | 重庆靶向科技发展有限公司 | Intelligent teaching platform system |
| CN111311981A (en) * | 2018-12-12 | 2020-06-19 | 范例 | Intelligent classroom that multidata supported |
| US11762905B2 (en) | 2018-12-28 | 2023-09-19 | Bigo Technology Pte. Ltd. | Video quality evaluation method and apparatus, device, and storage medium |
| CN111401100B (en) * | 2018-12-28 | 2021-02-09 | 广州市百果园信息技术有限公司 | Video quality evaluation method, device, equipment and storage medium |
| CN111401100A (en) * | 2018-12-28 | 2020-07-10 | 广州市百果园信息技术有限公司 | Video quality evaluation method, device, equipment and storage medium |
| CN109670999A (en) * | 2018-12-29 | 2019-04-23 | 重庆工商职业学院 | Overturn classroom instruction management system |
| CN109949189A (en) * | 2019-03-13 | 2019-06-28 | 上海复岸网络信息科技有限公司 | A kind of online teaching interaction effect evaluation method and device |
| CN110211008A (en) * | 2019-05-30 | 2019-09-06 | 潍坊护理职业学院 | A kind of modern education interactive teaching and learning feedback system and method |
| CN110600033A (en) * | 2019-08-26 | 2019-12-20 | 北京大米科技有限公司 | Learning condition evaluation method and device, storage medium and electronic equipment |
| CN112669177A (en) * | 2019-10-16 | 2021-04-16 | 北京三好互动教育科技有限公司 | Questioning person number counting method and device |
| CN111028853A (en) * | 2019-11-25 | 2020-04-17 | 探客柏瑞科技（北京）有限公司 | Spoken language expressive force evaluation method and system |
| CN111079113A (en) * | 2019-12-13 | 2020-04-28 | 柳州铁道职业技术学院 | Teaching system with artificial intelligent control and use method thereof |
| CN111079113B (en) * | 2019-12-13 | 2023-02-24 | 柳州铁道职业技术学院 | Teaching system with artificial intelligent control and use method thereof |
| CN111275345A (en) * | 2020-01-22 | 2020-06-12 | 重庆大学 | Classroom informatization evaluation and management system and method based on deep learning |
| CN111275345B (en) * | 2020-01-22 | 2023-08-08 | 重庆大学 | Classroom informatization evaluation and management system and method based on deep learning |
| CN111553218A (en) * | 2020-04-20 | 2020-08-18 | 南京医科大学 | Intelligent medical skill teaching monitoring system based on human body posture recognition |
| CN111401797A (en) * | 2020-05-09 | 2020-07-10 | 华南师范大学 | Teaching quality evaluation method and system |
| CN111401797B (en) * | 2020-05-09 | 2023-04-18 | 华南师范大学 | Teaching quality evaluation method and system |
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Application publication date: 20180612 |