CN107741978A - A kind of Pushing personality study resource method and its system - Google Patents

A kind of Pushing personality study resource method and its system Download PDF

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CN107741978A
CN107741978A CN201710960891.9A CN201710960891A CN107741978A CN 107741978 A CN107741978 A CN 107741978A CN 201710960891 A CN201710960891 A CN 201710960891A CN 107741978 A CN107741978 A CN 107741978A
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knowledge point
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pushing
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赵文
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Beijing Zhong Jiao Online Technology Co Ltd
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Abstract

The present invention relates to a kind of Pushing personality study resource method and its system, and classification is marked to data message in system;Data cleansing optimization is carried out to the data message after labeled bracketing, and mapping relations network diagramming is calculated;To the knowledge point Integrated modeling learnt needed for learner;Structural Transformation is carried out according to modeling result, extracts Learning Activity Sequence LAS;Solution is optimized to sequence LAS, obtains the knowledge point that the learner in learning process and education resource controls deficiency;Cluster analysis is carried out in obtained Hash maps result, obtains the pushing learning resource of optimal guidance knowledge point and optimization to learner.Of the invention is that student pushes the knowledge point learning materials of student itself master degree deficiency and related guidance automatically.Course courseware knowledge point tag attributes network relation structure chart is established according to the cleaning of course resources knowledge point flag data.The related knowledge point of learner is pushed to by cluster analysis with LAS according to modeling data and teaches resource.

Description

A kind of Pushing personality study resource method and its system
Technical field
The invention belongs to a kind of resource supplying method, and in particular to a kind of Pushing personality study resource method and its be System.
Background technology
Current most of vocational education platforms using unalterable syllabus catalogue step by step supervise student to learn Practise, the chapters and sections knowledge point that itself master degree deficiency can not be directed in student's learning process carries out strengthened exercises, and the platform fails again Reach according to student's learning state diversity various ways to strengthen master degree of the student to knowledge point, experience effect people not to the utmost Meaning, student's study substantially reduce to mastery of knowledge speed, waste the time of student, reduce the enthusiasm of student's study.
The content of the invention
In view of this, it is an object of the invention to overcome the deficiencies of the prior art and provide a kind of individualized learning resource to push away Delivery method and its system.The present invention is capable of the study condition of dynamic mastery learning person in real time, analyzes learner in learning process The middle place being ignorant of of feeling uncertain, and it is supplied to the grasp of the related guidance resource reinforcement knowledge point of learner.
To realize object above, the present invention adopts the following technical scheme that:
A kind of Pushing personality study resource method, it is theed improvement is that:
(1) classification is marked to data message in system;
(2) data cleansing optimization is carried out to the data message after labeled bracketing, and mapping relations network diagramming is calculated;
(3) the knowledge point Integrated modeling to learning needed for learner;
(4) Structural Transformation is carried out according to modeling result, extracts Learning Activity Sequence LAS;
(5) solution is optimized to sequence LAS, obtains the learner in learning process and education resource and control knowing for deficiency Know point;
(6) carry out cluster analysis in the Hash maps result obtained in step (1), obtain optimal guidance knowledge point and The pushing learning resource of optimization is to learner.
Preferably, the step (1) includes the course in system, courseware, knowledge point and education resource being marked point Class;The multidimensional scale designations such as trade classification, post classification, of the right age crowd, curriculum levels and complexity are carried out to course, to course Following courseware carries out resource classification, and courseware duration section is marked;The data message includes course, courseware, known Know point and education resource.
Preferably, the step (2) includes entering line number to the course after labeled bracketing, courseware, knowledge point and education resource According to cleaning, Hash Hash operations are carried out to the knowledge point below courseware, establish HashMap mapping relations network diagrammings.
Preferably, the step (3) include to the course set point needed for learner, learning process, examination assessment process, Resource environment and learning tasks modeling.
Preferably, the step (4) includes learner according to the learning direction selected in modeling result, and according to its determination Learning objective obtain corresponding study plan, Structural Transformation is carried out to learning process, extracts Learning Activity Sequence LAS.
Preferably, the step (5) is entered using the relation pair sequence LAS learning processes of procedure attribute and Resource Properties Row Optimization Solution, obtain the knowledge point of learner's master degree deficiency in learning process and education resource.
Preferably, methods described also monitors learner's learning tasks and resource environment in real time including system, if the two is any When changing, then correlation judgement and respective handling are carried out;Wherein, correlation judges and respective handling is included when one Below courseware increased resource more coupling learning person when, the education resource for being pushed to learner from the background accordingly changes, learner , can be according to the standby education resource of the progress renewal learning person of current learner after grasping a knowledge point.
Preferably, the mapping relations network diagramming generates tree-shaped graph structure graph of a relation, obtains the relative of each node in figure Matching degree network diagramming.
Preferably, the learner control deficiency knowledge point judge to include according to evaluation of the user to education resource and Knowledge point stage test result come determine learner's master degree deficiency knowledge point.
The present invention provides a kind of Pushing personality study resource system based on another object, and it is theed improvement is that:It is described System includes
Sort module:For classification to be marked to data message in system;
Processing module:For carrying out data cleansing optimization to the data message after labeled bracketing, and mapping is calculated and closes It is network diagramming;Structural Transformation is carried out with according to modeling result, extracts Learning Activity Sequence LAS;
Modeling module:For the knowledge point Integrated modeling to learning needed for learner;
Computing module:Solution is optimized to sequence LAS, the learner obtained in learning process and education resource controls not The knowledge point of foot;
Pushing module:Cluster analysis is carried out in obtained Hash maps result, obtains optimal guidance knowledge point and excellent The pushing learning resource of change is to learner.
The present invention uses above technical scheme,
The present invention pushes student itself master degree deficiency for student automatically data mining and by way of calculating analysis Knowledge point learning materials and it is related teach, student's learning knowledge point learning Content is thin, does not have the problems such as specific aim for customer service.Root Course-courseware-knowledge point-label-attribute network relation structure chart is established according to the cleaning of course resources knowledge point flag data, and is obtained To the relative matching degree of each node.The knowledge point position that user currently learns is obtained with LAS according to modeling data.Root The related knowledge point of learner is pushed to by cluster analysis to knowledge point network structure temperature figure according to LAS results and teaches resource.
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 required accompanying drawing used 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 a kind of Pushing personality study resource method flow diagram provided by the invention;
Fig. 2 is provided by the invention using a kind of Pushing personality study resource embodiment of the method flow signal of the present invention Figure.
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 part of the embodiment of the present 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, belong to the scope that the present invention is protected.
A kind of Pushing personality study resource method,
(1) classification is marked to data message in system;
(2) data cleansing optimization is carried out to the data message after labeled bracketing, and mapping relations network diagramming is calculated;
(3) the knowledge point Integrated modeling to learning needed for learner;
(4) Structural Transformation is carried out according to modeling result, extracts Learning Activity Sequence LAS;
(5) solution is optimized to sequence LAS, obtains the learner in learning process and education resource and control knowing for deficiency Know point;
(6) carry out cluster analysis in the Hash maps result obtained in step (1), obtain optimal guidance knowledge point and The pushing learning resource of optimization is to learner.
In above-mentioned technical proposal, trade classification, post classification, of the right age crowd, curriculum levels and difficulty are carried out to course first The multidimensional scale designations such as easy degree, resource classification is carried out to the courseware below course and courseware duration section is marked, then Data cleansing is carried out, finally the knowledge point below courseware is carried out to carry out Hash Hash operations, establishes HashMap mapping relations.
Wherein, data message includes course, courseware, knowledge point and education resource etc.;
In above-mentioned technical proposal, the Integrated modeling of knowledge based point is carried out to the content learnt needed for learner, this is built Mold is included respectively to course set point, learning process, examination assessment process, resource environment, learning tasks and learning tasks Deng modeling;
Such as:
By to learner's learning manipulation, being gathered respectively according to subjects such as physics, mathematics and English and storing each subject point Do not learn, learn how long, every how long learning once, do one's exercises topic and to do simulation topic etc., above- mentioned information is made It is modeled for the learning information of user.
In above-mentioned technical proposal, learner is according to selecting required learning direction in modeling result, and according to its determination Learning objective obtains corresponding study plan, then carries out Structural Transformation to learning process, extracts Learning Activity Sequence LAS (LAS, Learning Activity Sequence);
In above-mentioned technical proposal, for above-mentioned Learning Activity Sequence LAS, using the relation of procedure attribute and Resource Properties, Solution is optimized to learning process, obtains the knowledge point of learner's master degree deficiency in learning process and education resource.
Such as:
History answer to learner is acquired, and determines that the history of knowledge point that the history answer includes and user are answered Inscribe positive false information.History answer of the user on not specific multiple answering systems can be directed to, user can also be directed in spy History answer on fixed answering system, wherein the answering system is, for example, the online answering system that certain website is released.Wherein, The history answer includes but is not limited to history examination question, history answer, history solution approach etc..Wherein knowledge point, such as senior middle school Common merging similar terms, coefficientization are first-class in mathematics.The knowledge point that wherein answer includes can be analyzed to obtain in advance, and with going through History examination question is stored in advance in computer equipment, and generally, one of examination question can include one or more knowledge points.Such as computer There are 1000 examination questions in equipment, and in once testing, answering system has screened 100 examination question therein and has been supplied to user to make Answer, in the examination questions of Zhe 100, wherein there are 10 examination questions only to include knowledge point A, there are 20 problems not only to include knowledge point A but also including knowing Know point B, there are 70 examination questions not only to include knowledge point B but also including knowledge point C, then if by user for the progress of this 100 examination question Answer is considered as the history answer collected, and there are A, B and C in the knowledge point that the examination questions of Ze Zhe 100 include.Answered based on identified history The positive false information of history answer of the knowledge point and the user that include is inscribed, judges the knowledge point that user includes to the history answer Grasping level.
In above-mentioned technical proposal, for knowing for the above-mentioned learner's master degree deficiency obtained in learning process and education resource Know point, cluster analysis is carried out in the Hash maps result that step 1 obtains, obtain optimal teach knowledge point and optimization Resource supplying is practised to learner.
In above-mentioned technical proposal, methods described also monitors learner's learning tasks and resource environment in real time including system, if The two is any when changing, then progress correlation judgement and respective handling.Wherein, correlation judgement and respective handling bag When including the increased resource more coupling learning person below a courseware, the education resource for being pushed to learner from the background accordingly changes Become, can be according to the standby education resource of the progress renewal learning person of current learner after learner grasps a knowledge point.
In above-mentioned technical proposal, the mapping relations network diagramming generates tree-shaped graph structure graph of a relation, then obtains each in figure The relative matching degree network diagramming of individual node.
In above-mentioned technical proposal, the knowledge point that the learner controls deficiency judges to include according to user to education resource Evaluation and knowledge point stage test result come determine learner's master degree deficiency knowledge point.
The present invention also provides a kind of Pushing personality study resource system, and the system includes
Sort module:For classification to be marked to data message in system;
Processing module:For carrying out data cleansing optimization to the data message after labeled bracketing, and mapping is calculated and closes It is network diagramming;Structural Transformation is carried out with according to modeling result, extracts Learning Activity Sequence LAS;
Modeling module:For the knowledge point Integrated modeling to learning needed for learner;
Computing module:Solution is optimized to sequence LAS, the learner obtained in learning process and education resource controls not The knowledge point of foot;
Pushing module:Cluster analysis is carried out in obtained Hash maps result, obtains optimal guidance knowledge point and excellent The pushing learning resource of change is to learner.
Embodiment
As shown in Fig. 2 course, courseware, chapters and sections are marked for system (platform) resource center;Course-courseware-knowledge Point-education resource relation network diagramming;Weak knowledge point is grasped by analytic learning person and recommends degree of correlation highest education resource.
Learner's learned lesson A;The knowledge point included in system (platform) course according to selected by learner is modeled;Learn In habit person's learning process, active sequences LAS is obtained by modeling data and study schedule;Obtain in the current learning process of learner Grasp weak knowledge point X;Learner carries out grasp of the study intensification to knowledge point X by the education resource for learning to recommend;It is right Course A thus knowledge point all grasp after, learnt the course.
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 1. Pushing personality study resource method, it is characterised in that:
    (1) classification is marked to data message in system;
    (2) data cleansing optimization is carried out to the data message after labeled bracketing, and mapping relations network diagramming is calculated;
    (3) the knowledge point Integrated modeling to learning needed for learner;
    (4) Structural Transformation is carried out according to modeling result, extracts Learning Activity Sequence LAS;
    (5) solution is optimized to sequence LAS, obtains the knowledge that the learner in learning process and education resource controls deficiency Point;
    (6) cluster analysis is carried out in the Hash maps result obtained in step (1), obtains optimal guidance knowledge point and optimization Pushing learning resource to learner.
  2. A kind of 2. Pushing personality study resource method according to claim 1, it is characterised in that:Step (1) bag Include and classification is marked to the course in system, courseware, knowledge point and education resource;Trade classification, post point are carried out to course Class, curriculum levels, the mark of of the right age crowd and complexity different dimensions, resource classification is carried out to the courseware below course, and Courseware duration section is marked;The data message includes course, courseware, knowledge point and education resource.
  3. A kind of 3. Pushing personality study resource method according to claim 1, it is characterised in that:Step (2) bag Include and data cleansing is carried out to the course after labeled bracketing, courseware, knowledge point and education resource, the knowledge point below courseware is carried out Hash Hash operations, establish HashMap mapping relations network diagrammings.
  4. A kind of 4. Pushing personality study resource method according to claim 1, it is characterised in that:Step (3) bag Include to the course set point needed for learner, learning process, examination assessment process, resource environment and learning tasks modeling.
  5. A kind of 5. Pushing personality study resource method according to claim 1, it is characterised in that:Step (4) bag Learner is included according to the learning direction selected in modeling result, and corresponding study meter is obtained according to the learning objective of its determination Draw, Structural Transformation is carried out to learning process, extracts Learning Activity Sequence LAS.
  6. A kind of 6. Pushing personality study resource method according to claim 1, it is characterised in that:Step (5) bag Include and optimize solution using the relation pair sequence LAS learning processes of procedure attribute and Resource Properties, obtain learning process and Practise the knowledge point of learner's master degree deficiency in resource.
  7. A kind of 7. Pushing personality study resource method according to claim 1, it is characterised in that:Methods described also includes System monitors learner's learning tasks and resource environment in real time, if the two is any when changing, carry out correlation judge with And respective handling.
  8. A kind of 8. Pushing personality study resource method according to claim 1, it is characterised in that:The mapping relations net Shape figure generates tree-shaped graph structure graph of a relation, obtains the relative matching degree network diagramming of each node in figure.
  9. A kind of 9. Pushing personality study resource method according to claim 1, it is characterised in that:The learner controls The knowledge point of deficiency judges to include determining to learn according to evaluation of the user to education resource and knowledge point stage test result The knowledge point of person's master degree deficiency.
  10. A kind of 10. Pushing personality study resource system, it is characterised in that:The system includes
    Sort module:For classification to be marked to data message in system;
    Processing module:For carrying out data cleansing optimization to the data message after labeled bracketing, and mapping relations net is calculated Shape figure;Structural Transformation is carried out with according to modeling result, extracts Learning Activity Sequence LAS;
    Modeling module:For the knowledge point Integrated modeling to learning needed for learner;
    Computing module:Solution is optimized to sequence LAS, the learner obtained in learning process and education resource controls deficiency Knowledge point;
    Pushing module:Cluster analysis is carried out in obtained Hash maps result, obtains optimal guidance knowledge point and optimization Pushing learning resource is to learner.
CN201710960891.9A 2017-10-13 2017-10-13 A kind of Pushing personality study resource method and its system Pending CN107741978A (en)

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Cited By (7)

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CN108733784A (en) * 2018-05-09 2018-11-02 深圳市领点科技有限公司 A kind of teaching courseware recommends method, apparatus and equipment
CN109389539A (en) * 2018-10-10 2019-02-26 小雅智能平台(深圳)有限公司 A kind of method, apparatus that can automatically generate culture scheme and relevant device
CN109886848A (en) * 2019-01-30 2019-06-14 网易(杭州)网络有限公司 Method, apparatus, medium and the electronic equipment of data processing
CN110837999A (en) * 2018-08-17 2020-02-25 百度在线网络技术(北京)有限公司 Course learning reminding method and device
CN112307346A (en) * 2020-11-09 2021-02-02 成都高乔科技有限公司 Courseware management system based on big data
CN114925284A (en) * 2022-06-16 2022-08-19 江苏中科小达人智能科技有限公司 Resource searching and pushing system and method based on artificial intelligence
CN117573985A (en) * 2024-01-16 2024-02-20 四川航天职业技术学院(四川航天高级技工学校) Information pushing method and system applied to intelligent online education system

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CN103077178A (en) * 2011-10-26 2013-05-01 财团法人资讯工业策进会 Learning diagnosis and dynamic learning resource recommendation method and system
CN104866557A (en) * 2015-05-18 2015-08-26 江南大学 Customized just-in-time learning support system and method based on constructivist learning theory
CN106205248A (en) * 2016-08-31 2016-12-07 北京师范大学 A kind of representative learning person generates system and method at the on-line study cognitive map of domain-specific knowledge learning and mastering state

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CN102346976A (en) * 2011-03-03 2012-02-08 郭华 Electronic device assisted learning method based on knowledge structure and effect feedback
CN103077178A (en) * 2011-10-26 2013-05-01 财团法人资讯工业策进会 Learning diagnosis and dynamic learning resource recommendation method and system
CN104866557A (en) * 2015-05-18 2015-08-26 江南大学 Customized just-in-time learning support system and method based on constructivist learning theory
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Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108733784A (en) * 2018-05-09 2018-11-02 深圳市领点科技有限公司 A kind of teaching courseware recommends method, apparatus and equipment
CN108733784B (en) * 2018-05-09 2020-12-29 深圳市领点科技有限公司 Teaching courseware recommendation method, device and equipment
CN110837999A (en) * 2018-08-17 2020-02-25 百度在线网络技术(北京)有限公司 Course learning reminding method and device
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CN109389539A (en) * 2018-10-10 2019-02-26 小雅智能平台(深圳)有限公司 A kind of method, apparatus that can automatically generate culture scheme and relevant device
CN109886848A (en) * 2019-01-30 2019-06-14 网易(杭州)网络有限公司 Method, apparatus, medium and the electronic equipment of data processing
CN109886848B (en) * 2019-01-30 2021-08-13 网易有道信息技术(杭州)有限公司 Data processing method, device, medium and electronic equipment
CN112307346A (en) * 2020-11-09 2021-02-02 成都高乔科技有限公司 Courseware management system based on big data
CN114925284A (en) * 2022-06-16 2022-08-19 江苏中科小达人智能科技有限公司 Resource searching and pushing system and method based on artificial intelligence
CN114925284B (en) * 2022-06-16 2024-08-06 江苏中科小达人智能科技有限公司 Resource searching and pushing system and method based on artificial intelligence
CN117573985A (en) * 2024-01-16 2024-02-20 四川航天职业技术学院(四川航天高级技工学校) Information pushing method and system applied to intelligent online education system
CN117573985B (en) * 2024-01-16 2024-04-05 四川航天职业技术学院(四川航天高级技工学校) Information pushing method and system applied to intelligent online education system

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