CN106971354A - A kind of instruction analysis system based on big data - Google Patents
A kind of instruction analysis system based on big data Download PDFInfo
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- CN106971354A CN106971354A CN201710091134.2A CN201710091134A CN106971354A CN 106971354 A CN106971354 A CN 106971354A CN 201710091134 A CN201710091134 A CN 201710091134A CN 106971354 A CN106971354 A CN 106971354A
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- 238000000034 method Methods 0.000 claims abstract description 6
- 230000006399 behavior Effects 0.000 claims description 28
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- 238000013528 artificial neural network Methods 0.000 claims description 3
- 238000007621 cluster analysis Methods 0.000 claims description 3
- 238000005192 partition Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 238000011161 development Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 2
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- 238000011156 evaluation Methods 0.000 description 1
- 230000033764 rhythmic process Effects 0.000 description 1
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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
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- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
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Abstract
The present invention discloses a kind of instruction analysis system based on big data, belongs to teaching management technical field, and the system includes client, server, online teaching platform.Wherein client includes：Behavior collector unit, for collecting user profile and user behavior in online teaching platform；Transmit-Receive Unit, for the user profile being collected into and user behavior to be uploaded onto the server end by cloud computing service；The server end includes：Receiving unit, for receiving the user profile sent from client and user behavior；Assessment unit, for according to default appraisal procedure, being estimated to user profile and user behavior, generates assessment result；Push unit, for according to assessment result, corresponding teaching resource information to be pushed to the user for meeting assessment result；Display unit, for showing the assessment result.
Description
Technical field
The present invention relates to teaching management technical field, in particular to a kind of instruction analysis system based on big data.
Background technology
Traditional education is that teacher is given lessons based on textbook content for student, and this educational pattern has many drawbacks, for example without
Method gives full play to the learning interest of student, it is impossible to imparted knowledge to students for different types of student, efficiency of teaching generally than relatively low, though
So with the development of internet, Network Learning Platform is occurred in that, but student can not efficiently utilize teaching resource.
Recent years, cloud computing and big data know by many people as emerging technology, the knot of cloud computing and big data
The service being not only for providing is closed, is even more the promotion to educational development, strengthens the core competitiveness of online vocational education, keep
The sound development of online vocational education.But not yet work out a kind of Education Administration Information System based on big data at present.
The content of the invention
In view of the above-mentioned problems, the present invention proposes a kind of instruction analysis system based on big data, by mass users number
According to being analyzed and being excavated, accurately study guiding can be provided for student, is that student pushes accurate, personalized study money
Source, improves the quality of teaching.
The technical scheme is that：A kind of instruction analysis system based on big data is provided, including：Client, service
Device, online teaching platform；
Wherein client includes：
Behavior collector unit, for collecting user profile and user behavior in online teaching platform；
Transmit-Receive Unit, for the user profile being collected into and user behavior to be uploaded onto the server end by cloud computing service；
The server end includes：
Receiving unit, for receiving the user profile sent from client and user behavior；
Assessment unit, for according to default appraisal procedure, being estimated to user profile and user behavior, knot is assessed in generation
Really；
Push unit, for according to assessment result, corresponding teaching resource information to be pushed to the user for meeting assessment result；
Display unit, for showing the assessment result.
Embodiments in accordance with the present invention, the assessment unit also includes：
Selecting unit, for selecting in user profile and/or user behavior one or more attributes as estimation items；
Pretreatment unit, for being pre-processed to the estimation items, obtains preprocessed data；
Cluster analysis unit, for carrying out focusing solutions analysis to processing data, generates assessment result.
Embodiments in accordance with the present invention, the clustering algorithm includes neural network algorithm, ART2 algorithms, partition clustering and calculated
Method, hierarchical clustering algorithm.
Embodiments in accordance with the present invention, the assessment unit is periodically commented the user profile and user behavior received
Estimate.
Embodiments in accordance with the present invention, wherein the attribute of the user profile includes age of user, educational background, learning intent；
The attribute of the user behavior includes the use of platform concrete function, the curriculum information that user participates in, course learning duration, study
Cycle.
The learning behavior of user is analyzed by big data, while study rhythm, the behavior tracking of user is managed, for core
Teaching, training service carry out Positive evaluation, depth test and appraisal.Nearly all operation behavior of the user in platform, including platform tool
The use of body function（Study condition, self-management situation）, platform use habit etc. be all included into Test framework, used
Family behavior tracking, and be integrated based on specific Development Logic, really cause platform application has to promote user's realistic development
Value and significance.
Brief description of the drawings
Fig. 1 is structural representation of the invention.
Fig. 2 is the structural representation of client in the present invention.
Fig. 3 is the structural representation of server in the present invention.
Embodiment
Referring to Fig. 1, the instruction analysis system of the invention based on big data, including：Client, server, online teaching
Platform；
Wherein client, server, online teaching platform are in communication with each other by high in the clouds；
As shown in Fig. 2 wherein client includes：
Behavior collector unit, for collecting user profile and user behavior in online teaching platform；Wherein described user's letter
The attribute of breath includes age of user, educational background, learning intent；Use of the attribute of the user behavior including platform concrete function,
Curriculum information, course learning duration, the learning cycle of user's participation；
Transmit-Receive Unit, for the user profile being collected into and user behavior to be uploaded onto the server end by cloud computing service；
As shown in figure 3, the server end includes：
Receiving unit, for receiving the user profile sent from client and user behavior；
Assessment unit, for according to default appraisal procedure, being estimated to user profile and user behavior, knot is assessed in generation
Really；
Further, the assessment unit is periodically estimated to the user profile and user behavior received.
Push unit, for according to assessment result, corresponding teaching resource information to be pushed to the user for meeting assessment result；
Display unit, for showing the assessment result.
Further, the assessment unit also includes：
Selecting unit, for selecting in user profile and/or user behavior one or more attributes as estimation items；
Pretreatment unit, for being pre-processed to the estimation items, obtains preprocessed data；
Cluster analysis unit, for carrying out focusing solutions analysis to processing data, generates assessment result.
Wherein, the clustering algorithm includes neural network algorithm, ART2 algorithms, partition clustering algorithm, hierarchical clustering algorithm.
Finally it should be noted that：Obviously, above-described embodiment is only intended to clearly illustrate example of the present invention, and simultaneously
The non-restriction to embodiment.For those of ordinary skill in the field, it can also do on the basis of the above description
Go out other various forms of changes or variation.There is no necessity and possibility to exhaust all the enbodiments.And thus drawn
Among the obvious changes or variations that Shen goes out is still in protection scope of the present invention.
Claims (5)
1. a kind of instruction analysis system based on big data, including：Client, server, online teaching platform；
Wherein client includes：
Behavior collector unit, for collecting user profile and user behavior in online teaching platform；
Transmit-Receive Unit, for the user profile being collected into and user behavior to be uploaded onto the server end by cloud computing service；
The server end includes：
Receiving unit, for receiving the user profile sent from client and user behavior；
Assessment unit, for according to default appraisal procedure, being estimated to user profile and user behavior, knot is assessed in generation
Really；
Push unit, for according to assessment result, corresponding teaching resource information to be pushed to the user for meeting assessment result；
Display unit, for showing the assessment result.
2. instruction analysis system according to claim 1, the assessment unit also includes：
Selecting unit, for selecting in user profile and/or user behavior one or more attributes as estimation items；
Pretreatment unit, for being pre-processed to the estimation items, obtains preprocessed data；
Cluster analysis unit, for carrying out focusing solutions analysis to processing data, generates assessment result.
3. instruction analysis system according to claim 2, the clustering algorithm include neural network algorithm, ART2 algorithms,
Partition clustering algorithm, hierarchical clustering algorithm.
4. instruction analysis system according to claim 1, the user profile and use of the assessment unit periodically to receiving
Family behavior is estimated.
5. instruction analysis system according to claim 1 or 2, wherein the attribute of the user profile include age of user,
Educational background, learning intent；The attribute of the user behavior includes the use of platform concrete function, user participates in curriculum information, class
Journey study duration, learning cycle.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710091134.2A CN106971354A (en) | 2017-02-20 | 2017-02-20 | A kind of instruction analysis system based on big data |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710091134.2A CN106971354A (en) | 2017-02-20 | 2017-02-20 | A kind of instruction analysis system based on big data |
Publications (1)
| Publication Number | Publication Date |
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| CN106971354A true CN106971354A (en) | 2017-07-21 |
Family
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710091134.2A Pending CN106971354A (en) | 2017-02-20 | 2017-02-20 | A kind of instruction analysis system based on big data |
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| CN (1) | CN106971354A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107862970A (en) * | 2017-11-20 | 2018-03-30 | 无锡开放大学 | A kind of teaching quality evaluation model for being used to overturn classroom |
| CN118037077A (en) * | 2024-04-11 | 2024-05-14 | 福建农业职业技术学院 | Agricultural practice education result evaluation method based on big data |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105488103A (en) * | 2015-11-18 | 2016-04-13 | 中国农业大学 | Knowledge key point pushing method and system |
-
2017
- 2017-02-20 CN CN201710091134.2A patent/CN106971354A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105488103A (en) * | 2015-11-18 | 2016-04-13 | 中国农业大学 | Knowledge key point pushing method and system |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107862970A (en) * | 2017-11-20 | 2018-03-30 | 无锡开放大学 | A kind of teaching quality evaluation model for being used to overturn classroom |
| CN107862970B (en) * | 2017-11-20 | 2020-09-08 | 无锡开放大学 | Teaching quality evaluation model for turnover classroom |
| CN118037077A (en) * | 2024-04-11 | 2024-05-14 | 福建农业职业技术学院 | Agricultural practice education result evaluation method based on big data |
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Application publication date: 20170721 |