CN111899138A - Teaching behavior analysis system and method based on big data - Google Patents
Teaching behavior analysis system and method based on big data Download PDFInfo
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- CN111899138A CN111899138A CN202010742823.7A CN202010742823A CN111899138A CN 111899138 A CN111899138 A CN 111899138A CN 202010742823 A CN202010742823 A CN 202010742823A CN 111899138 A CN111899138 A CN 111899138A
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- 238000004458 analytical method Methods 0.000 title claims abstract description 55
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- 238000004891 communication Methods 0.000 claims abstract description 10
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- 239000000284 extract Substances 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 230000006399 behavior Effects 0.000 description 21
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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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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Abstract
The invention discloses a big data-based teaching behavior analysis system, which comprises a data acquisition unit, a data filtering module and a data filtering module, wherein the input end of the data acquisition unit is connected with the output end of a cloud service platform, the output end of the wireless communication unit is connected with the input end of the storage unit, and the output end of the storage unit is connected with the input end of the data filtering module; the output end of the data filtering module is respectively connected with the input ends of the classifying unit and the judging module, and the output end of the judging module is connected with the input end of the central processing unit; the output end of the analysis unit is respectively connected with the output ends of the central processing unit, the intelligent terminal and the behavior database, and the input end of the analysis unit is connected with the output ends of the scheme management unit and the weight distribution unit; according to the invention, the data is processed more comprehensively, the accuracy of the acquired data is improved, the final analysis result is more accurate by performing weight distribution on the data of different classifications, and the analysis result is sent to the intelligent terminal in time.
Description
Technical Field
The invention belongs to the technical field of teaching behavior analysis systems, and particularly relates to a teaching behavior analysis system and method based on big data.
Background
With the rapid development of big data technology, the analysis technology of teaching behaviors through big data has wider application, at present, because the processing of the teaching behavior data is incomplete, accurate teaching data is difficult to obtain, so accurate teaching behaviors cannot be predicted based on big data analysis, and the improvement of teaching level is not facilitated.
Disclosure of Invention
The invention aims to provide a teaching behavior analysis system and an analysis method based on big data, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a big-data based instructional behavior analysis system, comprising:
the input end of the data acquisition unit is connected to the output end of the cloud service platform, the output end of the data acquisition unit is connected to the input end of the wireless communication unit, the output end of the wireless communication unit is connected to the input end of the storage unit, and the output end of the storage unit is connected to the input end of the data filtering module;
the output end of the data filtering module is respectively connected with the input ends of the classifying unit and the judging module, the output end of the judging module is connected with the input end of the central processing unit, and the output end of the judging module is respectively connected with the input ends of the classifying unit and the intelligent terminal;
the output end of the analysis unit is respectively connected with the output ends of the central processing unit, the intelligent terminal and the behavior database, and the input end of the analysis unit is connected with the output ends of the scheme management unit and the weight distribution unit;
the input end of the scheme management unit is connected to the output end of the detection unit, the input end of the detection unit is connected to the output end of the classification unit, and the detection unit is in bidirectional connection with the data processing unit.
Preferably, the storage unit comprises a storage module for storing the teaching data and a replication module, an output end of the storage module is connected to an input end of the replication module, and an output end of the replication module is connected to an input end of the data filtering module.
An analysis method of a big data-based teaching behavior analysis system specifically comprises the following steps:
s1: the data acquisition unit acquires teaching data stored in the cloud service platform and then transmits the data to the storage unit through the wireless communication module;
s2: the data filtering module extracts the data copied in the copying module of the storage unit and filters the copied data, the judging module detects and judges the filtered data, and the central processing unit controls the classifying unit to classify the filtered data after the filtering is qualified;
s3: judging whether each classification data is complete through the detection unit, and processing the incomplete data through the data processing unit until the data has the integrity;
s4: then, different analysis rules are called through a scheme management unit, and based on the analysis rules, weight distribution is carried out on the data of different classifications under the classification through a weight distribution unit;
s5: and analyzing the data of different classifications according to the distributed weights through an analysis unit, comparing and analyzing the data with the data in the normal behavior database to obtain a teaching behavior characteristic analysis result, and sending the teaching behavior characteristic analysis result to the intelligent terminal.
Preferably, the cloud service platform needs to log in through the internet, an identity card and a fixed password are logged in a login mode, and keywords input after logging in are intelligently screened to obtain corresponding teaching data.
Preferably, the intelligent screening includes removing teaching data without sample significance, removing inaccurate teaching data, removing teaching data with large front-back floating, and extracting required teaching data.
Compared with the prior art, the invention has the beneficial effects that: according to the teaching behavior analysis system and method based on the big data, the data are processed more comprehensively, the accuracy of the acquired data is improved, and the follow-up accurate analysis is facilitated; the final analysis result is more accurate by carrying out weight distribution on the data of different classifications, and the analysis result is sent to the intelligent terminal in time.
Drawings
Fig. 1 is a system diagram of a big data-based teaching behavior analysis system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the embodiment is as follows:
a big-data based instructional behavior analysis system, comprising:
the input end of the data acquisition unit is connected to the output end of the cloud service platform, the output end of the data acquisition unit is connected to the input end of the wireless communication unit, the output end of the wireless communication unit is connected to the input end of the storage unit, and the output end of the storage unit is connected to the input end of the data filtering module;
the output end of the data filtering module is respectively connected with the input ends of the classifying unit and the judging module, the output end of the judging module is connected with the input end of the central processing unit, and the output end of the judging module is respectively connected with the input ends of the classifying unit and the intelligent terminal;
the output end of the analysis unit is respectively connected with the output ends of the central processing unit, the intelligent terminal and the behavior database, and the input end of the analysis unit is connected with the output ends of the scheme management unit and the weight distribution unit;
the input end of the scheme management unit is connected to the output end of the detection unit, the input end of the detection unit is connected to the output end of the classification unit, and the detection unit is in bidirectional connection with the data processing unit.
Specifically, the storage unit comprises a storage module and a copying module, wherein the storage module is used for storing teaching data, the output end of the storage module is connected to the input end of the copying module, and the output end of the copying module is connected to the input end of the data filtering module.
An analysis method of a big data-based teaching behavior analysis system specifically comprises the following steps:
s1: the data acquisition unit acquires teaching data stored in the cloud service platform and then transmits the data to the storage unit through the wireless communication module;
s2: the data filtering module extracts the data copied in the copying module of the storage unit and filters the copied data, the judging module detects and judges the filtered data, and the central processing unit controls the classifying unit to classify the filtered data after the filtering is qualified;
s3: judging whether each classification data is complete through the detection unit, and processing the incomplete data through the data processing unit until the data has the integrity;
s4: then, different analysis rules are called through a scheme management unit, and based on the analysis rules, weight distribution is carried out on the data of different classifications under the classification through a weight distribution unit;
s5: and analyzing the data of different classifications according to the distributed weights through an analysis unit, comparing and analyzing the data with the data in the normal behavior database to obtain a teaching behavior characteristic analysis result, and sending the teaching behavior characteristic analysis result to the intelligent terminal.
Specifically, the cloud service platform needs to log in through the Internet, an identity card and a fixed password are used for logging in, and keywords which can be input after logging in are intelligently screened to obtain corresponding teaching data.
Specifically, the intelligent screening includes the steps of removing teaching data which do not have sample significance, removing inaccurate teaching data, removing teaching data which have large front-back floating, and extracting required teaching data.
In conclusion, compared with the prior art, the method has the advantages that the data are processed more comprehensively, so that the accuracy of the acquired data is improved, and the subsequent accurate analysis is facilitated; the final analysis result is more accurate by carrying out weight distribution on the data of different classifications, and the analysis result is sent to the intelligent terminal in time.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments or portions thereof without departing from the spirit and scope of the invention.
Claims (5)
1. A big data based teaching behavior analysis system, comprising:
the input end of the data acquisition unit is connected to the output end of the cloud service platform, the output end of the data acquisition unit is connected to the input end of the wireless communication unit, the output end of the wireless communication unit is connected to the input end of the storage unit, and the output end of the storage unit is connected to the input end of the data filtering module;
the output end of the data filtering module is respectively connected with the input ends of the classifying unit and the judging module, the output end of the judging module is connected with the input end of the central processing unit, and the output end of the judging module is respectively connected with the input ends of the classifying unit and the intelligent terminal;
the output end of the analysis unit is respectively connected with the output ends of the central processing unit, the intelligent terminal and the behavior database, and the input end of the analysis unit is connected with the output ends of the scheme management unit and the weight distribution unit;
the input end of the scheme management unit is connected to the output end of the detection unit, the input end of the detection unit is connected to the output end of the classification unit, and the detection unit is in bidirectional connection with the data processing unit.
2. The big-data-based instructional behavior analysis system of claim 1, wherein: the storage unit comprises a storage module and a copying module, wherein the storage module is used for storing teaching data, the output end of the storage module is connected with the input end of the copying module, and the output end of the copying module is connected with the input end of the data filtering module.
3. An analysis method of the big data based teaching behavior analysis system according to claim 1, wherein: the method specifically comprises the following steps:
s1: the data acquisition unit acquires teaching data stored in the cloud service platform and then transmits the data to the storage unit through the wireless communication module;
s2: the data filtering module extracts the data copied in the copying module of the storage unit and filters the copied data, the judging module detects and judges the filtered data, and the central processing unit controls the classifying unit to classify the filtered data after the filtering is qualified;
s3: judging whether each classification data is complete through the detection unit, and processing the incomplete data through the data processing unit until the data has the integrity;
s4: then, different analysis rules are called through a scheme management unit, and based on the analysis rules, weight distribution is carried out on the data of different classifications under the classification through a weight distribution unit;
s5: and analyzing the data of different classifications according to the distributed weights through an analysis unit, comparing and analyzing the data with the data in the normal behavior database to obtain a teaching behavior characteristic analysis result, and sending the teaching behavior characteristic analysis result to the intelligent terminal.
4. The analysis method of the big data based teaching behavior analysis system according to claim 3, wherein: the cloud service platform needs to log in through the Internet, an identity card and a fixed password are used for logging in a logging mode, and keywords which can be input after logging in are intelligently screened to obtain corresponding teaching data.
5. The analysis method of the big data based teaching behavior analysis system according to claim 4, wherein: the intelligent screening comprises the steps of eliminating teaching data which do not have sample significance, eliminating inaccurate teaching data, eliminating teaching data which float greatly before and after, and extracting the required teaching data.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112530539A (en) * | 2020-12-16 | 2021-03-19 | 西安市中心医院 | Big data comparison analysis system for thyroid adenocarcinoma surgery under oral vestibular endoscope |
| CN113888374A (en) * | 2021-09-28 | 2022-01-04 | 联奕科技股份有限公司 | Big data based teaching analysis method and system |
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