CN107491890A - One kind can quantify Classroom Teaching Quality Assessment system and method - Google Patents
One kind can quantify Classroom Teaching Quality Assessment system and method Download PDFInfo
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Abstract
The invention belongs to communicate and field of Educational Technology, Classroom Teaching Quality Assessment system and method can be quantified by being related to one kind.Including：Data acquisition module, for being acquired to the courseware in teaching process and the knowledge content in instructional video, video content is converted into audio content；Data processing and memory module are connected with data acquisition module, using artificial intelligence technology, are entered row information identification and data prediction, are established the data of teaching quality data library storage collection, and data are clustered；Data mining and presentation module are connected with data processing and memory module, and for carrying out sub-indicator score calculation to the data in teaching quality data storehouse, and the quality of instruction result calculated is collected, and visualization presentation is carried out according to set dimension.The present invention is based on artificial intelligence technology, can effectively identify the various key elements of classroom instruction, realizes that the total factor of quality of instruction is assessed, can effectively reduce the input supervised quality of instruction, lift education quality management efficiency.
Description
Technical field
The invention belongs to communicate and field of Educational Technology, Classroom Teaching Quality Assessment can be quantified more particularly, to one kind
System and method.
Background technology
Artificial intelligence is research, develops intelligent theory, method, technology and application for simulating, extending and extending people
One new technological sciences of system.Artificial intelligence is a branch of computer science, and it attempts to understand the essence of intelligence, and
A kind of new intelligence machine that can be made a response in a manner of human intelligence is similar is produced, the research in the field includes machine
People, language identification, image recognition, natural language processing and expert system etc..Artificial intelligence is since the birth, theory and technology day
Beneficial ripe, application field also constantly expands, it is contemplated that the sci-tech product that following artificial intelligence is brought, it will be the wisdom of humanity
" container ".
Image recognition, refer to handle image using computer, analyzed and understood, to identify various different modes
Target and the technology to picture.
Speech recognition technology be exactly allow machine by identification and understanding process voice signal be changed into corresponding text or
The high-tech of order.Speech recognition technology mainly includes Feature Extraction Technology, pattern match criterion and model training technology three
Aspect.
Natural language processing is computer science and an important directions in artificial intelligence field.It is studied can be real
The existing various theoretical and methods for carrying out efficient communication between people and computer with natural language.
The content of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide one kind can quantify Classroom Teaching Quality Assessment system
And method, the various key elements of classroom instruction can be effectively identified, realize the assessment of quality of instruction.
To solve the above problems, technical scheme provided by the invention is：One kind can quantify Classroom Teaching Quality Assessment system,
Wherein, including with lower module：
Data acquisition module, for being acquired to the courseware in teaching process and the knowledge content in instructional video, and will
Video content is converted to audio content, while obtains student and learn feelings data；
Data processing and memory module, are connected with data acquisition module, for the data gathered to data acquisition module, utilize
Artificial intelligence technology, enter row information identification and data prediction, establish teaching quality data library storage gathered data, while logarithm
According to being clustered；
Data mining and presentation module, are connected with data processing and memory module, for the data in teaching quality data storehouse
Sub-indicator score calculation is carried out, and the quality of instruction result calculated is collected, and is carried out according to set dimension visual
Change and present.
Further, described data acquisition module includes：
Courseware content collecting unit, for by installing VSTO plug-in units on user computer, courseware content being recorded, and in courseware
Hold and carry out semantic processes, identify all critical learning content；
Teaching process collecting unit, the video attended class for gathering classroom, and conversion of the video to audio is carried out to video
Processing；
Education administration system docks unit, for docking education administration system, obtains student and learns feelings data；
Blended teaching pattern platform docks unit, for docking Blended teaching pattern platform, obtains student's Online Learning and comments religion data.
Further, described teaching process collecting unit includes：
Teaching process video acquisition unit is used to gather the video that classroom is attended class, including student part and teacher part；
Video turns audio unit and is connected with teaching process video acquisition unit, turns sound for the video content of collection to be carried out into video
Frequency is handled.
Further, described data processing and memory module include：
Data processing unit, for by the data of collection, using artificial intelligence technology, entering row information identification and data prediction；
Teaching quality data library unit, is connected with data processing unit, for establishing unified teaching quality data storehouse, will gather
To data storage in teaching quality data storehouse, data are clustered according to default TQA dimension, establish
Data Mart, and multiple quantitatively evaluating indexs are set to Data Mart.
Further, the data that described data processing unit is gathered include structural data and unstructured data,
Described structural data is the data for coming from information system, including achievement, work attendance, comments religion；Described unstructured number
According to including video, image, text.
Further, described Data Mart include teaching attitude fairground, content of courses fairground, teaching method fairground and
Teaching efficiency fairground.
Further, described data mining and presentation module include：
Sub-indicator score calculation unit, is connected with Data Mart, in each fairground, selecting to comment for the quantization of assessment
Valency index, and set weight to be weighted average computation；
The quality of education collects scoring unit, is connected with sub-indicator score calculation unit, for by the calculating of each Data Mart
As a result collected, and calculate weighted average；
Quality of education data presentation unit, collect scoring unit with the quality of education and be connected, for by result of calculation, according to default
Dimension is clustered, and carries out visualization presentation；Wherein default dimension includes school, department, course and teacher.
The present invention, which also provides one kind, can quantify Classroom Teaching Quality Assessment method, wherein, comprise the following steps：
S1. data acquisition, the courseware content in teaching process, teaching video contents are acquired, and dock system of educational administration simultaneously
System and Blended teaching pattern platform, obtain student and learn feelings data and learn to comment religion data；
S2. data processing and storage, the data that will be collected in S1 steps, using artificial intelligence technology, row information identification is entered
And data prediction, while teaching quality data storehouse is established, by the data storage of collection in teaching vector data storehouse, and logarithm
According to being clustered, Data Mart is established, and multiple quantitatively evaluating indexs are set to Data Mart；
S3. data are excavated and presented, the Data Mart and quantitatively evaluating index established for S2 steps, the amount of progress
Change index evaluation, and calculate weighted average, result of calculation is collected, calculated according to the weighted value in self-defining data fairground
Weighted average, while carry out visualization presentation by structure is calculated.
Further, the collection in described S1 steps to teaching process courseware content is that VSTO is installed on user computer
Plug-in unit, courseware content is recorded, and semantic processes are carried out to courseware content, identify all critical learning content；It is described to video content
Collection include teacher part and student part, while be audio by Video Quality Metric.
Further, described Data Mart include teaching attitude fairground, content of courses fairground, teaching method fairground and
Teaching efficiency fairground.
Compared with prior art, beneficial effect is：One kind provided by the invention can quantify Classroom Teaching Quality Assessment system
And method, based on artificial intelligence technology, can effectively identify the various key elements of classroom instruction, and carry out quantitative evaluation, by with class
Data outside hall combine, and realize that the total factor of quality of instruction is assessed, and the present invention can effectively reduce the input supervised quality of instruction,
Lift education quality management efficiency.
Brief description of the drawings
Fig. 1 is overall structure diagram of the present invention.
Embodiment
As shown in figure 1, one kind can quantify Classroom Teaching Quality Assessment system, wherein, including with lower module：
Data acquisition module, for being acquired to the courseware in teaching process and the knowledge content in instructional video, and will
Video content is converted to audio content, while obtains student and learn feelings data；
Data processing and memory module, are connected with data acquisition module, for the data gathered to data acquisition module, utilize
Artificial intelligence technology, enter row information identification and data prediction, establish teaching quality data library storage gathered data, while logarithm
According to being clustered；
Data mining and presentation module, are connected with data processing and memory module, for the data in teaching quality data storehouse
Sub-indicator score calculation is carried out, and the quality of instruction result calculated is collected, and is carried out according to set dimension visual
Change and present.
In the present invention, the pretreatment to data includes screen is converted into audio and extracts voice signal, from video
Extract face parameter information etc..
Specifically, data acquisition module includes courseware content collecting unit, teaching process collecting unit, education administration system docking
Unit and Blended teaching pattern platform docking unit, wherein, courseware content collecting unit, for by being installed on user computer
VSTO plug-in units, courseware content is recorded, and semantic processes are carried out to courseware content, identify all critical learning content；Teaching process gathers
Unit, the video attended class for gathering classroom, and video is carried out to the conversion process of audio to video；Education administration system is docked
Unit, for docking education administration system, obtain student and learn feelings data；Blended teaching pattern platform docks unit, hybrid for docking
Teaching platform, obtain student's Online Learning and comment religion data.
In addition, teaching process collecting unit includes teaching process video acquisition unit and video turns audio unit, wherein, religion
Learn process video collecting unit, the video attended class for gathering classroom, including student part and teacher part；Video turns audio list
Member, it is connected with teaching process video acquisition unit, turns audio frequency process for the video content of collection to be carried out into video.
Further, data processing and memory module include data processing unit and teaching quality data library unit, wherein,
Data processing unit, for by the data of collection, using artificial intelligence technology, entering row information identification and data prediction；Teaching
Qualitative data library unit, is connected with data processing unit, for establishing unified teaching quality data storehouse, the data that will be collected
It is stored in teaching quality data storehouse, data is clustered according to default TQA dimension, establish Data Mart,
And multiple quantitatively evaluating indexs are set to Data Mart.
Wherein, the data that data processing unit is gathered include structural data and unstructured data, structural data
To come from the data of information system, including achievement, work attendance, comment religion；Described unstructured data include video, image,
Text.
In addition, Data Mart includes teaching attitude fairground, content of courses fairground, teaching method fairground and teaching efficiency collection
City.
Specifically, data mining and presentation module collect judge paper including sub-indicator score calculation unit, the quality of education
Member and quality of education data presentation unit, wherein, sub-indicator score calculation unit, it is connected with Data Mart, for each
In fairground, the quantitatively evaluating index for assessment is selected, and set weight to be weighted average computation；The quality of education collects scoring
Unit, it is connected with sub-indicator score calculation unit, for the result of calculation of each Data Mart to be collected, and calculates and add
Weight average value；Quality of education data presentation unit, collect scoring unit with the quality of education and be connected, for by result of calculation, according to
Default dimension is clustered, and carries out visualization presentation；Wherein default dimension includes school, department, course and teacher.
In the present invention, each Data Mart is equipped with the quantitatively evaluating index of multiple dimensions, wherein, teaching attitude fairground
Provided with evaluation indexes such as teacher's work attendance, Teaching preparation, classroom emotions；Content of courses fairground be provided with content matching degree, classroom expressions,
The evaluation indexes such as word speed of attending class；Teaching method fairground, which is provided with, lectures the evaluation indexes such as time, S-T types, teaching process distribution；Religion
Learn effect fairground and be provided with the evaluation indexes such as analysis of the students, student attendance, total marks of the examination.In the evaluation index in each fairground, all
Default weighted value can be carried out to index, is weighted average computation.
The present invention, which also provides one kind, can quantify Classroom Teaching Quality Assessment method, wherein, comprise the following steps：
S1. data acquisition, the courseware content in teaching process, teaching video contents are acquired, and dock system of educational administration simultaneously
System and Blended teaching pattern platform, obtain student and learn feelings data and learn to comment religion data；
S2. data processing and storage, the data that will be collected in S1 steps, using artificial intelligence technology, row information identification is entered
And data prediction, while teaching quality data storehouse is established, by the data storage of collection in teaching vector data storehouse, and logarithm
According to being clustered, Data Mart is established, and multiple quantitatively evaluating indexs are set to Data Mart；
S3. data are excavated and presented, the Data Mart and quantitatively evaluating index established for S2 steps, the amount of progress
Change index evaluation, and calculate weighted average, result of calculation is collected, calculated according to the weighted value in self-defining data fairground
Weighted average, while carry out visualization presentation by structure is calculated.
Wherein, the collection in S1 steps to teaching process courseware content is that VSTO plug-in units are installed on user computer, record
Courseware content, and semantic processes are carried out to courseware content, identify all critical learning content；The described collection to video content includes
Teacher part and student part, while be audio by Video Quality Metric.
In addition, Data Mart includes teaching attitude fairground, content of courses fairground, teaching method fairground and teaching efficiency collection
City.
Obviously, the above embodiment of the present invention is only intended to clearly illustrate example of the present invention, and is not pair
The restriction of embodiments of the present invention.For those of ordinary skill in the field, may be used also on the basis of the above description
To make other changes in different forms.There is no necessity and possibility to exhaust all the enbodiments.It is all this
All any modification, equivalent and improvement made within the spirit and principle of invention etc., should be included in the claims in the present invention
Protection domain within.
Claims (10)
1. one kind can quantify Classroom Teaching Quality Assessment system, it is characterised in that including with lower module：
Data acquisition module, for being acquired to the courseware in teaching process and the knowledge content in instructional video, and will
Video content is converted to audio content, while obtains student and learn feelings data；
Data processing and memory module, are connected with data acquisition module, for the data gathered to data acquisition module, utilize
Artificial intelligence technology, enter row information identification and data prediction, establish teaching quality data library storage gathered data, while logarithm
According to being clustered；
Data mining and presentation module, are connected with data processing and memory module, for the data in teaching quality data storehouse
Sub-indicator score calculation is carried out, and the quality of instruction result calculated is collected, and is carried out according to set dimension visual
Change and present.
2. one kind according to claim 1 can quantify Classroom Teaching Quality Assessment system, it is characterised in that described data
Acquisition module includes：
Courseware content collecting unit, for by installing VSTO plug-in units on user computer, courseware content being recorded, and in courseware
Hold and carry out semantic processes, identify all critical learning content；
Teaching process collecting unit, the video attended class for gathering classroom, and conversion of the video to audio is carried out to video
Processing；
Education administration system docks unit, for docking education administration system, obtains student and learns feelings data；
Blended teaching pattern platform docks unit, for docking Blended teaching pattern platform, obtains student's Online Learning and comments religion data.
3. one kind according to claim 2 can quantify Classroom Teaching Quality Assessment system, it is characterised in that described teaching
Process collecting unit includes：
Teaching process video acquisition unit is used to gather the video that classroom is attended class, including student part and teacher part；
Video turns audio unit and is connected with teaching process video acquisition unit, turns sound for the video content of collection to be carried out into video
Frequency is handled.
4. one kind according to any one of claims 1 to 3 can quantify Classroom Teaching Quality Assessment system, it is characterised in that
Described data processing and memory module includes：
Data processing unit, for by the data of collection, using artificial intelligence technology, entering row information identification and data prediction；
Teaching quality data library unit, is connected with data processing unit, for establishing unified teaching quality data storehouse, will gather
To data storage in teaching quality data storehouse, data are clustered according to default TQA dimension, establish
Data Mart, and multiple quantitatively evaluating indexs are set to Data Mart.
5. one kind according to claim 4 can quantify Classroom Teaching Quality Assessment system, it is characterised in that described data
The data that processing unit is gathered include structural data and unstructured data, and described structural data is to come from information
The data of change system, including achievement, work attendance, comment religion；Described unstructured data includes video, image, text.
6. one kind according to claim 4 can quantify Classroom Teaching Quality Assessment system, it is characterised in that described data
Fairground includes teaching attitude fairground, content of courses fairground, teaching method fairground and teaching efficiency fairground.
7. one kind according to claim 6 can quantify Classroom Teaching Quality Assessment system, it is characterised in that described data
Excavating and present module includes：
Sub-indicator score calculation unit, is connected with Data Mart, in each fairground, selecting to comment for the quantization of assessment
Valency index, and set weight to be weighted average computation；
The quality of education collects scoring unit, is connected with sub-indicator score calculation unit, for by the calculating of each Data Mart
As a result collected, and calculate weighted average；
Quality of education data presentation unit, collect scoring unit with the quality of education and be connected, for by result of calculation, according to default
Dimension is clustered, and carries out visualization presentation；Wherein default dimension includes school, department, course and teacher.
8. one kind can quantify Classroom Teaching Quality Assessment method, it is characterised in that comprise the following steps：
S1. data acquisition, the courseware content in teaching process, teaching video contents are acquired, and dock system of educational administration simultaneously
System and Blended teaching pattern platform, obtain student and learn feelings data and learn to comment religion data；
S2. data processing and storage, the data that will be collected in S1 steps, using artificial intelligence technology, row information identification is entered
And data prediction, while teaching quality data storehouse is established, by the data storage of collection in teaching vector data storehouse, and logarithm
According to being clustered, Data Mart is established, and multiple quantitatively evaluating indexs are set to Data Mart；
S3. data are excavated and presented, the Data Mart and quantitatively evaluating index established for S2 steps, the amount of progress
Change index evaluation, and calculate weighted average, result of calculation is collected, calculated according to the weighted value in self-defining data fairground
Weighted average, while carry out visualization presentation by structure is calculated.
9. one kind according to claim 8 can quantify Classroom Teaching Quality Assessment method, it is characterised in that described S1 steps
Collection in rapid to teaching process courseware content is that VSTO plug-in units are installed on user computer, records courseware content, and to courseware
Content carries out semantic processes, identifies all critical learning content；The described collection to video content includes teacher part and student portion
Point, while be audio by Video Quality Metric.
10. one kind according to claim 9 can quantify Classroom Teaching Quality Assessment method, it is characterised in that described number
Include teaching attitude fairground, content of courses fairground, teaching method fairground and teaching efficiency fairground according to fairground.
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Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107895244A (en) * | 2017-12-26 | 2018-04-10 | 重庆大争科技有限公司 | Classroom teaching quality assessment method |
| CN108154304A (en) * | 2017-12-26 | 2018-06-12 | 重庆大争科技有限公司 | There is the server of Teaching Quality Assessment |
| CN108171414A (en) * | 2017-12-26 | 2018-06-15 | 重庆大争科技有限公司 | Evaluation System for Teaching Quality |
| CN108182649A (en) * | 2017-12-26 | 2018-06-19 | 重庆大争科技有限公司 | For the intelligent robot of Teaching Quality Assessment |
| CN108182541A (en) * | 2018-01-10 | 2018-06-19 | 张木华 | A kind of blended learning recruitment evaluation and interference method and device |
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| CN108416498A (en) * | 2018-01-30 | 2018-08-17 | 王志强 | For the data analysing method, storage medium and server of teaching process |
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| CN108665395A (en) * | 2018-05-10 | 2018-10-16 | 柳州市恒利电子科技有限公司 | A kind of computer software instruction analysis system |
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| CN110059978A (en) * | 2019-04-26 | 2019-07-26 | 湖南科技学院 | A kind of Teacher Evaluation System based on the assessment of cloud computing aided education |
| CN111639565A (en) * | 2020-05-19 | 2020-09-08 | 重庆大学 | Audio and video combined classroom quality comprehensive evaluation method |
| CN112199436A (en) * | 2020-10-15 | 2021-01-08 | 亳州学院 | Visual teaching quality monitoring method |
| CN115619279A (en) * | 2022-11-03 | 2023-01-17 | 华中师范大学 | Classroom real-record digital course resource quality evaluation method and system |
| CN115759849A (en) * | 2022-11-23 | 2023-03-07 | 华中师范大学 | Classroom teaching quality evaluation method and system aiming at differentiated teaching requirements |
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