CN107145559A - Intelligent classroom Knowledge Management Platform and method based on semantic technology and gameization - Google Patents
Intelligent classroom Knowledge Management Platform and method based on semantic technology and gameization Download PDFInfo
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Abstract
The present invention relates to the intelligent classroom Knowledge Management Platform based on semantic technology and gameization and method, the platform includes result-oriented Knowledge Management Platform；Result-oriented Knowledge Management Platform is to carry out confluence analysis for the individuation data being collected into individuation data collecting platform, create the knowledge base of each student and teacher, associated for the formation of knowledge base solid data, build knowledge mapping, maintenance data analytical technology come build with intelligent data retrieve and Analysis Service management platform.The present invention provides diversified mode of learning by the utilization of the gameization smart machine on class and under class for student, maximizes the learning enthusiasm of student；Feedback is added to the personalized recommendation after students ' behavior data analysis and analysis, individualized education is realized.
Description
Technical field
The present invention relates to intelligent classroom field, and in particular to a kind of intelligent classroom knowledge based on semantic technology He gameization
Management platform and method.
Background technology
Current smart machine development is so rapid, computer, smart mobile phone, multimedia technology answering in education sector
With more and more generally, how people are also constantly being studied by smart machine and education preferably combination, are reached higher level
Educational pattern.Under the continuous propulsion of educational reform, lot of domestic and international school has carried out substantial amounts of improvement all on teaching method
And innovation, it has been the main flow educated now that smart machine, which enters classroom, and has obtained extensive attention.By to world's model
Smart machine in enclosing aids in the investigation of classroom instruction situation, it has been found that updated with the continuous iteration of smart machine, in religion
Learning addition multimedia or the pattern of smart machine in environment becomes more diversified, is no longer limited to play PPT and teaching is regarded
The projector equipment of frequency is related, and is an attempt to more smart machines such as smart mobile phone, bracelet, VR (Virtual Reality)
Equipment, (Augmented Reality) equipment etc..
Traditional educational pattern is difficult to improve the learning enthusiasm of student, meets the learning demand of student, instantly many classrooms
On student attend class to take a passive attitude actively be dissolved into during the giving lessons of teacher and go, can not be in time asking on classroom
Topic feeds back to teacher, and the interaction mode of classroom teaching teacher and student is delayed, lacks real-time two-way interactive.And it is old
Teacher is not special understanding to the study situation path of every student, does not impart knowledge to students targetedly, can not at all lift student
Study obtain knowledge interest.How to make highly efficient study, studying space for student's construction personalization, learned by classroom
Practise and raw active influence is produced to the future-man of student, be that we study emphasis of interest.
The content of the invention
For deficiency of the prior art, it is an object of the invention to provide a kind of intelligence based on semantic technology He gameization
Classroom Knowledge Management Platform and method, the present invention are provided by the utilization of the gameization smart machine on class and under class for student
Diversified mode of learning, maximizes the learning enthusiasm of student；Using demand to be oriented to, pass through knowledge base of the semantic technology to establishment
Information management is carried out, feedback is added to the personalized recommendation after students ' behavior data analysis and analysis, individualized education is realized.
The purpose of the present invention is realized using following technical proposals：
The present invention provides a kind of intelligent classroom Knowledge Management Platform based on semantic technology He gameization, and the platform includes
Result-oriented Knowledge Management Platform；
The result-oriented Knowledge Management Platform is the personalized number for being collected into individuation data collecting platform
According to confluence analysis is carried out, the knowledge base of each student and teacher are created, is associated for the formation of knowledge base solid data, structure is known
Know collection of illustrative plates, maintenance data analytical technology come build with intelligent data retrieve and Analysis Service management platform.
Further, the platform also includes managing subsystem and teacher side by the student side that network carries out data interaction
Manage subsystem, student side management subsystem is based on semantic knowledge-base, the student side management subsystem by barrage with
The behavioral data for shaking acquisition carries out data display in real time in the way of data visualization, make student to current classroom situation with
And itself behavior is understood；The teacher side management subsystem is used to send explanation content to student side management subsystem；Institute
Student side management subsystem is stated to realize using smart mobile phone；The teacher side management subsystem uses PC ends.
Further, student side management subsystem include being used on class the barrage sending module for sending barrage on class and
Student for being shaken to being ignorant of knowledge point shakes module；The barrage sending module and student shake module with religion
The smart mobile phone of Shi Duanguan reason subsystems carries out data interaction.
Further, the semantic knowledge-base uses three-level tree, and the three-level tree includes the first order
Teaching path layer and the learning path layer of conceptual level, the attribute layer of the second level and third layer；
The conceptual level includes course and knowledge point；The attribute refers to the attribute of knowledge point, including common property and
Specific properties；The common property includes keyword, knowledge and called the roll and knowledge point description；The specific properties include conceptual level it
Between relation, including leading, the follow-up and inclusion relation between knowledge point；
The teaching path layer uses syllabus, is derived and gone out according to the semantic relation of inter-entity；
The learning path layer is safeguarded by Knowledge Management Platform.
Further, the teacher side management subsystem includes being used to show the display module of student's barrage, for explaining
The teacher that student is ignorant of knowledge point shakes prompting module and associates current PPT relating module；The display module, prompting mould
Block and relating module carry out data interaction with the smart mobile phone of student-directed subsystem.
Further, the smart mobile phone of the student-directed subsystem can obtain currently explaining in teacher management subsystem
All PPT contents.
Further, the result-oriented Knowledge Management Platform includes being used to realize identical semantic language in different language
Adopted structural model, the Sci-tech Knowledge metadata proposal module for realizing the semantic description based on semantic model and by first number
It is that data carry out fine-grained processing, and then the more comprehensive knowledge mapping of foundation and knowledge base according to, automatic semantic tagger technology；
By the analysis to entity relationship in knowledge base, student's personal knowledge management tree and course set management tree are formed；
Student's personal knowledge management tree, including：Exercise entity records student's answer situation and Student entities
Record Students ' Learning behavior situation；
The course set management tree, including：All student's answer situations of Exercise entity records and Student entities
Record the overall learning behavior situation of student；
Student's personal knowledge management tree and course set management tree include：Knowledge recommendation module, for knowledge pipe
Manage visual student's personal knowledge tree display module and for the visual students ' behavior analysis module of student-directed.
The present invention also provides a kind of management method based on semantic technology He the intelligent classroom Knowledge Management Platform of gameization,
Methods described comprises the steps：
The first step, obtains substantial amounts of student side by multiple channel and manages subsystem and teacher side management subsystem data,
And polynary isomeric data is integrated, constitute database；
Second step, for the data being stored in database, is disaggregatedly extracted or is set up adjacent table analysis
Data；
3rd step, sets up correlation model, using first isomeric data after processing, carries out data correlation, sets up knowledge mapping,
That is semantic knowledge-base；
4th step, on the basis of knowledge mapping, builds student side management subsystem and teacher side management subsystem.
Further, in the first step：According to international standard, unified data format is defined, database is defined；In the future
The different data in source are converted respectively according to each record, then are imported into database；For the entry lacked, item is being closed on
Supplement is crawled in mesh, website, database, and then obtains complete database.
Further, the 3rd step includes：
Valuable related information is extracted, correlation model is built；
Extract related information；
Set up key-value pair and carry out matching association.
Compared with immediate prior art, the beneficial effect that the technical scheme that the present invention is provided reaches is：
Sight has been placed on presently the most widely used smart machine by the present invention：On smart mobile phone.Intelligence is introduced on class
Energy mobile phone interacts with classroom and carries out the propulsion of study schedule after class using the thinking of gameization after class, passes through the two and ties
Conjunction makes positive change to classroom participation, enthusiasm, learning enthusiasm, learning efficiency of student etc., reaches lifting study effect
The final purpose of fruit.
Diversified mode of learning is provided for student by the utilization of the gameization smart machine on class and under class, it is maximum
The raw learning enthusiasm of chemistry；Using demand to be oriented to, carried out by creation of knowledge storehouse after students ' behavior data analysis and analysis
Personalized recommendation adds feedback, realizes individualized education, is the psychological for starting point of student with user, from the angle of Consumer's Experience,
Using the mechanism of gameization, excitation student participates in teaching link, improves the learning interest and classroom enthusiasm of student.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is the system architecture diagram of the intelligent classroom Knowledge Management Platform based on semantic technology He gameization；
Fig. 2 is the system block diagram of the intelligent classroom Knowledge Management Platform based on semantic technology He gameization；
Fig. 3 is the schematic diagram to form learning path layer and teaching path layer；
Fig. 4 is to manage personal course set the schematic diagram that tree is analyzed by data digging method；
Fig. 5 is that the displaying of personal knowledge tree and students ' behavior analyze schematic diagram.
Embodiment
To make the object, technical solutions and advantages of the present invention clearer, technical scheme will be carried out below
Detailed description.Obviously, described embodiment is only a part of embodiment of the invention, rather than whole embodiments.Base
Embodiment in the present invention, those of ordinary skill in the art are resulting on the premise of creative work is not made to be owned
Other embodiment, belongs to the scope that the present invention is protected.
First optimal technical scheme
The present invention provides a kind of intelligent classroom Knowledge Management Platform based on semantic technology He gameization, as shown in figure 1, institute
Stating system includes result-oriented Knowledge Management Platform；
Result-oriented Knowledge Management Platform is to enter for the individuation data being collected into individuation data collecting platform
Row confluence analysis, creates the knowledge base of each student and teacher, is associated for the formation of knowledge base solid data, builds knowledge graph
Spectrum, maintenance data analytical technology come build with intelligent data retrieve and Analysis Service management platform.
It is preferred that, the platform includes managing subsystem by the student side that network carries out data interaction and teacher side is managed
Subsystem, the student side management subsystem is based on semantic knowledge-base, and the student side management subsystem is by barrage and shakes one
The behavioral data for shaking acquisition carries out data display in real time in the way of data visualization, make student to current classroom situation and from
Body behavior is understood；The teacher side management subsystem is used to send explanation content to student side management subsystem；It is described to learn
Management subsystem of causing trouble is realized using smart mobile phone；The teacher side management subsystem uses PC ends.
It is preferred that, the student side management subsystem includes being used for the barrage sending module and use that send barrage on class on class
Module is shaken in the student shaken to being ignorant of knowledge point；The barrage sending module and student shake module and teacher
The smart mobile phone of end pipe reason subsystem carries out data interaction.
It is preferred that, the semantic knowledge-base uses three-level tree, and the three-level tree includes the general of the first order
Read teaching path layer and the learning path layer of layer, the attribute layer of the second level and third layer；
The conceptual level includes course and knowledge point；The attribute refers to the attribute of knowledge point, including common property and
Specific properties；The common property includes keyword, knowledge and called the roll and knowledge point description；The specific properties include conceptual level it
Between relation, including leading, the follow-up and inclusion relation between knowledge point.
It is preferred that, the teacher side management subsystem is including being used to show the display module of student's barrage, being learned for explaining
The raw teacher for being ignorant of knowledge point shakes prompting module and associates current PPT relating module；The display module, prompting module
Smart mobile phone with relating module with student-directed subsystem carries out data interaction.
It is preferred that, the smart mobile phone of the student-directed subsystem can obtain what is currently explained in teacher management subsystem
All PPT contents, student browses PPT, when the knowledge point explained before is forgotten, can be looked back in smart mobile phone, will not be because of
Some previous knowledge point and influence follow-up study；Automatic projection is realized in PPT projection, is that student previews new knowledge or revision
Old knowledge provides convenient.
It is preferred that, the result-oriented Knowledge Management Platform includes being used to realize identical semantic semanteme in different language
Structural model, the metadata proposal module for realizing the semantic description based on semantic model and pass through metadata, it is automatic semantic
Label technology is that data carry out fine-grained processing, and then sets up more comprehensive knowledge mapping and knowledge base, finally in knowledge
On the basis of storehouse, exploitation student side management subsystem and teacher side management subsystem.
By the analysis to entity relationship in knowledge base, student's personal knowledge management tree and course set management tree are formed；
Student's personal knowledge management tree, including：Exercise entity records student's answer situation and Student entities
Record Students ' Learning behavior situation；
The course set management tree, including：All student's answer situations of Exercise entity records and Student entities
Record the overall learning behavior situation of student；
Student's personal knowledge management tree and course set management tree include：Knowledge recommendation module (including knowledge point
Recommend (preferential), the recommendation of item difficulty grade), for the visual student's personal knowledge tree display module of information management and be used for
The visual students ' behavior analysis module of student-directed.
Second optimal technical scheme
Implementation method based on semantic technology He the intelligent classroom Knowledge Management System of gameization, comprises the steps：
(1) student-directed subsystem sends the barrage related to classroom；
(2) teacher management subsystem receives the barrage of student-directed subsystem and said for the problem that is ignorant of in barrage
Solution；
(3) content of explanation is sent to student-directed subsystem by teacher management subsystem by network.
Step (2) comprises the steps：
1) participle being related to by barrage content extracts the keyword of barrage；
2) keyword of barrage is analyzed；
3) feed back to student-directed subsystem and carry out personalized recommendation knowledge, form the learning path of knowledge point.
When student-directed subsystem is ignorant of to knowledge point, one is shaken with student and swaggers the dynamic intelligence with student-directed subsystem
Mobile phone；
Teacher management subsystem is reminded to make the feedback of explanation to being ignorant of knowledge point；The shake number of times that student shakes reaches
Threshold value；Teacher management subsystem is reminded using prompting module.
Teacher management subsystem makes the feedback of explanation to being ignorant of knowledge point.
As shown in figure 3, in figure 3, it is leading and follow-up to high number, statistics and text mining progress by data mining, lead to
Classification and clustering algorithm are crossed, and according to attributes extraction keyword one and keyword two；Pass through information management, semantic structure, shape
Into " learning path " and " teaching path "；
Similar total tree ＆ student tree
Teaching path can be understood as syllabus, is derived and gone out according to the semantic relation of inter-entity
Learning path is safeguarded by Knowledge Management Platform.
By the analysis to entity relationship in knowledge base, student's personal knowledge management tree and course set management tree are formed
Personal knowledge management tree：Exercise entity records student's answer situation and Student entity record Students ' Learnings
Behavior situation
Course set management tree：All student's answer situations of Exercise entity records and Student entity record students
Overall learning behavior situation
As shown in figure 4, individual/course " information management tree " is analyzed by data digging method, as shown in figure 5,
Including
Knowledge recommendation module：(preferential) and item difficulty grade is recommended to recommend for knowledge point；
Personal knowledge tree display module (information management-visualization)；
Students ' behavior analysis module (student-directed-visualization).
The present invention is divided into three parts according to the particular content of joint study, i.e., semantic structure model, first number across language
Natural language processing and semantic matches and label technology according to scheme, based on machine learning.Wherein semantic structure model is used for real
Identical semantic scientific and technological resources structural knowledge is represented in existing different language；Metadata proposal will realize the language based on semantic model
Justice description, is served primarily in across the intelligent semantic retrieval of language and intelligent recommendation system；And the natural language processing of different language
It can then realize and be created and and relevant knowledge for the semantic description of scientific and technological resources automatically or semi-automatically with semantic matches and mark
Storehouse and the semantic interlink of resources bank concept or entity.
The foregoing is only a specific embodiment of the invention, but protection scope of the present invention is not limited thereto, any
Those familiar with the art the invention discloses technical scope in, change or replacement can be readily occurred in, should all be contained
Cover within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (10)
1. a kind of intelligent classroom Knowledge Management Platform based on semantic technology He gameization, it is characterised in that the platform includes
Result-oriented Knowledge Management Platform；
The result-oriented Knowledge Management Platform is to enter for the individuation data being collected into individuation data collecting platform
Row confluence analysis, creates the knowledge base of each student and teacher, is associated for the formation of knowledge base solid data, builds knowledge graph
Spectrum, maintenance data analytical technology come build with intelligent data retrieve and Analysis Service management platform.
2. intelligence classroom as claimed in claim 1 Knowledge Management Platform, it is characterised in that the platform also includes passing through network
The student side management subsystem and teacher side management subsystem of data interaction are carried out, the student side management subsystem is based on semanteme
Knowledge base, student side management subsystem is real barrage and by way of shaking the behavioral data of acquisition with data visualization
Shi Jinhang data displays, make student understand current classroom situation and itself behavior；The teacher side manages subsystem
For sending explanation content to student side management subsystem；The student side management subsystem is realized using smart mobile phone；It is described
Teacher side management subsystem uses PC ends.
3. intelligence classroom as claimed in claim 2 Knowledge Management Platform, it is characterised in that the student side manages subsystem bag
Including is used to send the barrage sending module of barrage on class on class and shakes module for the student shaken to being ignorant of knowledge point；
The barrage sending module and student shake the smart mobile phone progress data interaction that module manages subsystem with teacher side.
4. intelligence classroom as claimed in claim 2 Knowledge Management Platform, it is characterised in that the semantic knowledge-base uses three-level
Tree, the three-level tree includes the teaching road of the conceptual level, the attribute floor of the second level and third layer of the first order
Footpath layer and learning path layer；
The conceptual level includes course and knowledge point；The attribute refers to the attribute of knowledge point, including common property and special
Attribute；The common property includes keyword, knowledge and called the roll and knowledge point description；The specific properties are included between conceptual level
Leading, follow-up and inclusion relation between relation, including knowledge point；
The teaching path layer uses syllabus, is derived and gone out according to the semantic relation of inter-entity；
The learning path layer is safeguarded by Knowledge Management Platform.
5. intelligence classroom as claimed in claim 2 Knowledge Management Platform, it is characterised in that the teacher side manages subsystem bag
Include and shake prompting module and association for the display module for showing student's barrage, the teacher that is ignorant of for explaining student knowledge point
Current PPT relating module；The smart mobile phone of the display module, prompting module and relating module with student-directed subsystem
Carry out data interaction.
6. intelligence classroom as claimed in claim 2 Knowledge Management Platform, it is characterised in that the intelligence of the student-directed subsystem
Expert's function accesses all PPT contents currently explained in teacher management subsystem.
7. intelligence classroom as claimed in claim 1 Knowledge Management Platform, it is characterised in that the result-oriented information management
Platform includes being used to realize identical semantic semantic structure model in different language, for realizing that the semanteme based on semantic model is retouched
The Sci-tech Knowledge metadata proposal module stated and be that data carry out fine-grained place by metadata, automatic semantic tagger technology
Reason, and then set up more comprehensive knowledge mapping and knowledge base；
By the analysis to entity relationship in knowledge base, student's personal knowledge management tree and course set management tree are formed；
Student's personal knowledge management tree, including：Exercise entity records student's answer situation and Student entity records
Students ' Learning behavior situation；
The course set management tree, including：All student's answer situations of Exercise entity records and Student entity records
Student's totality learning behavior situation；
Student's personal knowledge management tree and course set management tree include：Knowledge recommendation module, can for information management
Depending on student's personal knowledge tree display module of change and for the visual students ' behavior analysis module of student-directed.
8. a kind of intelligent classroom information management based on semantic technology and gameization as any one of claim 1-7 is put down
The management method of platform, it is characterised in that methods described comprises the steps：
The first step, obtains substantial amounts of student side by multiple channel and manages subsystem and teacher side management subsystem data, and whole
Polynary isomeric data is closed, database is constituted；
Second step, for the data being stored in database, is disaggregatedly extracted or is set up adjacency list analyze data；
3rd step, sets up correlation model, using first isomeric data after processing, carries out data correlation, sets up knowledge mapping, i.e. language
Adopted knowledge base；
4th step, on the basis of knowledge mapping, builds student side management subsystem and teacher side management subsystem.
9. management method as claimed in claim 8, it is characterised in that in the first step：According to international standard, definition is unified
Data format, define database；The different data that will originate are converted respectively according to each record, then imported into database
In；For the entry lacked, supplement is crawled in the project of closing on, website, database, and then obtain complete database.
10. management method as claimed in claim 8, it is characterised in that the 3rd step includes：
Valuable related information is extracted, correlation model is built；
Extract related information；
Set up key-value pair and carry out matching association.
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