CN105930326A - Specialty construction research and curriculum development system - Google Patents

Specialty construction research and curriculum development system Download PDF

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CN105930326A
CN105930326A CN201510851858.3A CN201510851858A CN105930326A CN 105930326 A CN105930326 A CN 105930326A CN 201510851858 A CN201510851858 A CN 201510851858A CN 105930326 A CN105930326 A CN 105930326A
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陈俊
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Wuxi Mu Mu Education Technology Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/951Indexing; Web crawling techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
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    • G06Q50/20Education
    • G06Q50/205Education administration or guidance

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Abstract

The invention discloses a specialty construction research and curriculum development system, including a website data acquisition unit, a network questionnaire acquisition unit, a post work task acquisition unit, a practice expert interview unit and a public opinion management and control unit. The invention realizes large data statistics of human talent market information as required, provides statistical information derived from a human resources market for professional construction, and provides scientific and standardized processes and tools for specialty construction of vocational education.

Description

Specialized Construction investigation and course development system (CDS)
Technical field
The present invention relates to big data collection analysis field, relate in particular to a kind of Specialized Construction investigation and course development system (CDS).
Background technology
China is vast in territory, the imbalance that the economy of each department, technology and educational development are suitable.Therefore various places vocational school is difficult to carry out unified Curriculum.Difficult point maximum in vocational school's major setting is how dynamically to regulate major setting according to the demand of human resources market, and the main cause causing this difficulty is that the uncertainty of related industry development, human resources market are to demand for talent situation and the facilities of other these specialties of school.Therefore, vocational school, when arranging New Specialty, will carry out the data analysis of necessity.Vocational education major setting is according to more chaotic at present, has plenty of with occupation as foundation;Have with current techique for installation warrants arrange, have with industry as installation warrants;Have with product as installation warrants;There is specialty aim indefinite, the unsharp situation of professional teaching target.How to overcome the problems referred to above, it is thus achieved that section sets up the industrial structure and dynamically adjusts driving major setting and reforming mechanism, it is a problem being worth thinking that setting area socio-economic development is badly in need of industry relevant speciality.
The course offered of vocational education needs to dock mutually with task, and the architecture of course to match with work system structure, arranges course according to the dependency of task.The content of courses to be docked mutually with vocational ability, according to work position, the requirement of student knowledge, technical ability and attitude will be determined teaching content system.Then, gather Industrial Technical Progress in time and dynamically and drive curriculum reform, could really meet target professional post group ability need, could be real to connecting up-to-date Vocational Criterion, industry standard and Post criteria.How to set up Industrial Technical Progress and drive curriculum reform mechanism, to optimizing lesson structure and content, in-depth curriculum reform is also a problem highly thought deeply.
The direction of the reform in education except docking mutually with social need to greatest extent, with occupation, work position require dock outside, in education activities type of organization, also will with work situation dock mutually.Really to learn the requirement really done according to true environment carry out education activities with situated-learning theory, carry out project-based teaching, Scene Teaching, case teaching, work process guiding teaching etc..By methods such as project-based teaching, it is achieved the innovation of the teaching model with vocational activity for guiding.Therefore, how to set up based on the working situation of true application, drive the mechanism problem being worth thinking especially of the reform in education.
The freedom of speech, public opinion opening are the main trend of social development.But in hundreds of millions of network media groups, produced public opinion information per second is numerous.Owing to motivation is different, the speech delivered out is the most widely different.Need to pay close attention in real time student's public opinion situation as education department, paying close attention to about situation in public opinion of educational unit, educational events, educational resource, the thought paying close attention to new force is dynamic, and the rustle of leaves in the wind accurately to understand industry, and from known middle anticipation future, and scientific basis can be brought for decision-making.How setting up public sentiment early warning, security mechanism is also the problem highly thought deeply.
Summary of the invention
For solving the problems referred to above, the invention provides a kind of education sector Specialized Construction investigation system.
The concrete technical scheme of the present invention is as follows:
A kind of Specialized Construction investigation and course development system (CDS): include website data collecting unit and website acquisition database, described website data collecting unit for carrying out data scanning collection by web crawlers technology and being sent to the acquisition database of website by the data obtained to website to be collected;Described website acquisition database is divided into category of employment data base, job category data base and collection field data storehouse according to classification filing;Described website data collecting unit includes that collection rule arranges module, and acquisition tasks arranges module, acquisition tasks management module, analysis of data collected module, category of employment management module, job category management module, gathers field management module;Described collection rule arrange module for arrange gather data rule, including arrange collection data critical word and gather initial time;Described acquisition tasks arranges module for adding, delete, editing acquisition tasks, arranges acquisition tasks and performs frequency;Described acquisition tasks management module is used for the running status checking acquisition tasks, the data volume collected;Described analysis of data collected module is for being carried out converting and generating analysis chart and analyze form according to predefined rule to the data gathered;Described category of employment management module, for management industry category database, is safeguarded category of employment information, is added, deletes, edits category of employment, check the collection data volume ranking of industry-by-industry;Described job category management module for managerial position category database, safeguards job category information, adds, deletes, editorship classification, checks the collection data volume ranking of each position;Described collection field management module is used for managing collection field data storehouse, safeguards and gathers field information, adds, deletes, edits collection field, checks and safeguards that each gathers the similar field of field.
By using this technical scheme: by scanning each big recruitment website such as: the website such as Zhaopin.com, 51JOB, net of going to market, net of looking for a job forms the big data acquisition of manpower talents market information.And realize automatically scanning crawl, on-demand statistics.Arrange module with acquisition tasks to achieve the branch to data and gather: for the acquisition tasks that different industries, area are different with post set, allow different acquisition tasks distribution execution.Guarantee to be independent of each other between each acquisition tasks, thus significantly alleviate the pressure of server.After data acquisition completes, with analysis of data collected module, data are carried out, supplement the data of defect.Sort out field and the record of necessity.And go out each post to educational requirement situation by various forms of pattern analysiss.
Preferably, in the investigation of above-mentioned Specialized Construction and course development system (CDS): also include that network questionnaire collecting unit, described network questionnaire collecting unit include questionnaire data storehouse, questionnaire design module, ask that volume management module, questionnaire are issued and recycling module and questionnaire data analysis module;Described questionnaire data storehouse is used for storing standard form questionnaire and user shares questionnaire;Described questionnaire editor module is used for adding, deletes, edits and check questionnaire;Described editor's questionnaire include multiple-choice question type, edit stem, edit answer choice, arrange answer choice order, offering question order and offering question answer redirect logic;Described ask that volume management module is for checking test paper list, providing questionnaire and reward, delete invalid test paper, check test paper quantity, newly-increased/editor's questionnaire that questionnaire collects, remove questionnaire and collect data, check the graphic analyses of questionnaire collection data;Described questionnaire is issued and is used for editing questionnaire published method, arranging questionnaire collection condition with recycling module, and questionnaire collects remuneration and editor questionnaire recipient;Described questionnaire data is analyzed module and is used for accessing test paper list, is carried out converting according to predefined rule by test paper table data, generates and analyzes chart and analyze form, and the form of graphically+form is analyzed statistics to each exercise question of questionnaire.
Specifically, above-mentioned questionnaire published method can include that link is collected and two ways collected by mailbox;Described link is collected, and refers to the link that questionnaire generates is sent to portal website, forum or is sent directly to good friend and scanning Quick Response Code;It is to relax to specify email accounts by the form of mail by questionnaire link that described mailbox is collected;Described email accounts is the contact person's mailbox in individual's central service, or newly-increased mailbox.
By using this technical scheme, in practice: user by entrance questionnaire design module by calling the questionnaire type the title that fills in questionnaires preserved in questionnaire data storehouse, or can increase a questionnaire type newly.Then newly-increased questionnaire carries out exercise question stem, answer choice, problem answers option order, different problem answers redirect the editor of logic etc..After newly-increased questionnaire editor completes, the questionnaire details of user's preview oneself, confirm that errorless rear access questionnaire issue and recycling module carry out the issue of questionnaire, and set the recovering condition of questionnaire and remuneration be set for questionnaire, set the transmission mode that questionnaire links.Test paper list is generated after questionnaire answer is reclaimed.User accesses questionnaire analysis module, is carried out converting according to predefined rule by test paper table data, the form of graphically+form, and each exercise question of questionnaire is analyzed statistics.Hereby it is achieved that carry out information gathering accurately for specific user, the information as the big data acquisition of talents market information of website data collecting unit acquisition is supplemented.
It is further preferred that the investigation of above-mentioned Specialized Construction also includes post task collecting unit and post assignment database with course development system (CDS);Described post task collecting unit includes task acquisition module, data classifying module, post statistical module, task statistical module and doubtful point statistical module.
Wherein, the internship report that described post assignment database is submitted to for storing student, described internship report comprises and is not limited to word and document, and automatically generates student's debriefing list;Described task acquisition module is used for the person of collection and checks student's debriefing list, or checks the internship report of single student;The debriefing that student is filled in by described data classifying module for the person of collection carries out combing, merges similar post, task and rub, forms tasks listing;Described post statistical module, for the practice number according to different posies, generates the practice number ranking in different post;Described task statistical module searches the statistical result of different task for the person of collection: include completion rate statistics, demographics, frequency statistics, statistics of average used time, doubtful point quantity statistics;The work doubtful point that described doubtful point statistical module is mentioned in statistic debriefing.
Further scheme is: described post task collecting unit also includes project release module and project auditing module;Described project release module is used for the person of collection and issues practice project;Described project auditing module audits, for the person of collection, the practice application that User is uploaded.
By using this technical scheme, be practise for student's Entry Firm after, internship that student submits after completing assignment task every day report.By adding up and arranging, student's work diary on post and task content complete student's separation rate statistics, pay level is added up, the main concentration degree of Students ' Employment is added up, the approach statistics of job search, the type of business statistics of hobby, vocational development trend are added up, ability and quality gap statistics.Optimization culture pattern and course offered.
It is even furthermore preferable that the investigation of above-mentioned Specialized Construction is with course development system (CDS), also include putting into practice expert's collecting unit;The described expert's of practice collecting unit includes that interview task arranges module, responsibility task combing module, weight proportioning module, typical mission screening module, typical mission refinement module, attitude-technical ability-knowledge (hereinafter referred to as ASK) management module, ASK analysis module, learning target management module, study Subject Manager module, task object topic module and task object management module;Described interview task arranges module for managing interview task, initiating expert interviewing task, the industry according to interview, post, choose expert's account of interview, set the importance degree of current task, difficulty, frequent degree, standardization level, skill requirement degree coefficient, by the form of message in station, interview message request is sent to expert;When interview task is in task enumeration phase, check the responsibilities and task enumerated with combing expert;When interview task is in the weight proportioning stage, checks expert's marking situation to the Standard Task after combing, and filter out typical mission according to marking;When interview task is in task elaboration phase, refining typical mission, the attitude fill in including performance standard, instrument, filled in expert, technical ability, knowledge carry out arranging and merge;Responsibility and task, merging similar terms that all experts are enumerated for the person's of collection combing by described responsibility task combing module, check that standardization responsibility and expert submit the corresponding relation of responsibility to;Standardized task is given a mark by described weight proportioning module for expert;Described typical mission screening module checks the marking aggregate value of all experts for the person of collection;Finishing screen selects typical mission;Typical mission is edited by described typical mission refinement module for the person of collection;Described ASK management module is used for the person of collection and forms ASK data base during to ASK classified finishing or directly add, delete, edit ASK content;Described ASK analyzes module, for expert, each typical tasks lists A attitude S technical ability K knowledge;Described learning target management module checks conventional tasking learning target for the person of collection;Or directly add, delete, edit learning target;Described study Subject Manager module checks the study theme that learning target is carried out produce when theme maps in the past for the person of collection;Or directly add, delete, edit study subject content;Described task object topic module, for the refinement analysis to typical mission, forms ASK and learning target and the corresponding relation of study theme in typical tasks;Described task object management module checks, for the person of collection, the typical mission refined, and fills in the learning target of each task according to the ASK content of standard.
By using this scheme: relevant information can be gathered by putting into practice expert interviewing.First allow expert write out themselves developmental stage, then list enumerate in task, weight proportioning, which the different phase such as task refinement done respectively has the task of representative to allow his ability have the lifting of matter.Remarks understand to do what instrument of these representational tasks, which type of workflow simultaneously.Tasks listing is formed after the task that all experts are filled in collects.The all experts of relief select the representative task that this occupation needs from all working task list, and these representational tasks are set weight.Collect and count the most typical task that can represent this professionalism.
It is even furthermore preferable that the investigation of above-mentioned Specialized Construction is with course development system (CDS), also include public sentiment control unit, described public sentiment control unit for gathering, collect, analyze, early warning, event, people and news affairs on prevention network.
By using this technical scheme: realizing about educational unit, educational events, educational resource paying close attention in real time in public opinion, the rustle of leaves in the wind for accurate assurance industry, brings the data foundation of science for major setting decision-making.
Accompanying drawing explanation
Fig. 1 is the structural representation of invention.
Detailed description of the invention
In order to be illustrated more clearly that technical scheme, below the work process of the present invention is further described.
A kind of Specialized Construction investigation and course development system (CDS), including website data collecting unit, website acquisition database, network questionnaire collecting unit, post task collecting unit, post assignment database, put into practice expert's collecting unit and public sentiment control unit.
Described website data collecting unit for carrying out data scanning collection and being sent to the acquisition database of website by the data obtained by web crawlers technology to website to be collected;Website acquisition database is divided into category of employment data base, job category data base and collection field data storehouse according to classification filing.
Described website data collecting unit includes that collection rule arranges module, and acquisition tasks arranges module, acquisition tasks management module, analysis of data collected module, category of employment management module, job category management module, gathers field management module;Described collection rule arrange module for arrange gather data rule, including arrange collection data critical word and gather initial time;Described acquisition tasks arranges module for adding, delete, editing acquisition tasks, arranges acquisition tasks and performs frequency;Described acquisition tasks management module is used for the running status checking acquisition tasks, the data volume collected;Described analysis of data collected module is for being carried out converting and generating analysis chart and analyze form according to predefined rule to the data gathered;Described category of employment management module, for management industry category database, is safeguarded category of employment information, is added, deletes, edits category of employment, check the collection data volume ranking of industry-by-industry;Described job category management module for managerial position category database, safeguards job category information, adds, deletes, editorship classification, checks the collection data volume ranking of each position;Described collection field management module is used for managing collection field data storehouse, safeguards and gathers field information, adds, deletes, edits collection field, checks and safeguards that each gathers the similar field of field.
Described network questionnaire collecting unit includes questionnaire data storehouse, questionnaire design module, asks that volume management module, questionnaire are issued and recycling module and questionnaire data analysis module;Described questionnaire data storehouse is used for storing standard form questionnaire and user shares questionnaire;Described questionnaire editor module is used for adding, deletes, edits and check questionnaire;Described editor's questionnaire include multiple-choice question type, edit stem, edit answer choice, arrange answer choice order, offering question order and offering question answer redirect logic;Described ask that volume management module is for checking test paper list, providing questionnaire and reward, delete invalid test paper, check test paper quantity, newly-increased/editor's questionnaire that questionnaire collects, remove questionnaire and collect data, check the graphic analyses of questionnaire collection data;Described questionnaire published method includes that link is collected and mailbox is collected;Described link is collected, and refers to the link that questionnaire generates is sent to portal website, forum or is sent directly to good friend and scanning Quick Response Code;Described mailbox is collected, and is to relax to specify email accounts by the form of mail by questionnaire link;Described email accounts is the contact person's mailbox in individual's central service, or newly-increased mailbox.Described questionnaire is issued and is used for editing questionnaire published method, arranging questionnaire collection condition with recycling module, and questionnaire collects remuneration and editor questionnaire recipient;Described questionnaire data is analyzed module and is used for accessing test paper list, is carried out converting according to predefined rule by test paper table data, generates and analyzes chart and analyze form, and the form of graphically+form is analyzed statistics to each exercise question of questionnaire.
Described post task collecting unit includes task acquisition module, data classifying module, post statistical module, task statistical module, doubtful point statistical module, project release module and project auditing module.Wherein, student's debriefing list is reported and is automatically generated in the internship that described post assignment database is submitted to for storing student;Described task acquisition module is used for the person of collection and checks student's debriefing list, or checks the internship report of single student;The debriefing that student is filled in by described data classifying module for the person of collection carries out combing, merges similar post, task and rub, forms tasks listing;Described post statistical module, for the practice number according to different posies, generates the practice number ranking in different post;Described task statistical module searches the statistical result of different task for the person of collection: include completion rate statistics, demographics, frequency statistics, statistics of average used time, doubtful point quantity statistics;The work doubtful point that described doubtful point statistical module is mentioned in statistic debriefing.Described project release module is used for the person of collection and issues practice project;Described project auditing module audits, for the person of collection, the practice application that User is uploaded.
The described expert's of practice collecting unit includes that interview task arranges module, responsibility task combing module, weight proportioning module, typical mission screening module, typical mission refinement module, attitude-technical ability-knowledge (hereinafter referred to as ASK) management module, ASK analysis module, learning target management module, study Subject Manager module, task object topic module and task object management module;Described interview task arranges module for managing interview task, initiating expert interviewing task, the industry according to interview, post, choose expert's account of interview, set the importance degree of current task, difficulty, frequent degree, standardization level, skill requirement degree coefficient, by the form of message in station, interview message request is sent to expert;When interview task is in task enumeration phase, check the responsibilities and task enumerated with combing expert;When interview task is in the weight proportioning stage, checks expert's marking situation to the Standard Task after combing, and filter out typical mission according to marking;When interview task is in task elaboration phase, refining typical mission, the attitude fill in including performance standard, instrument, filled in expert, technical ability, knowledge carry out arranging and merge;Responsibility and task, merging similar terms that all experts are enumerated for the person's of collection combing by described responsibility task combing module, check that standardization responsibility and expert submit the corresponding relation of responsibility to;Standardized task is given a mark by described weight proportioning module for expert;Described typical mission screening module checks the marking aggregate value of all experts for the person of collection;Finishing screen selects typical mission;Typical mission is edited by described typical mission refinement module for the person of collection;Described ASK management module is used for the person of collection and forms ASK data base during to ASK classified finishing or directly add, delete, edit ASK content;Described ASK analyzes module, for expert, each typical tasks lists A attitude S technical ability K knowledge;Described learning target management module checks conventional tasking learning target for the person of collection;Or directly add, delete, edit learning target;Described study Subject Manager module checks the study theme that learning target is carried out produce when theme maps in the past for the person of collection;Or directly add, delete, edit study subject content.Described task object topic module, for the refinement analysis to typical mission, forms ASK and learning target and the corresponding relation of study theme in typical tasks;Described task object management module checks, for the person of collection, the typical mission refined, and fills in the learning target of each task according to the ASK content of standard.
Described public sentiment control unit for gathering, collect, analyze, early warning, event, people and news affairs on prevention network.
Embodiment 1:
Use network questionnaire collecting unit to scan each big recruitment website and gather big data.
First station address and the input coupling keyword that module input needs to gather is set at collection rule, is automatically gathered the data on website by web crawlers technology.As: recruitment post, recruitment post job content and responsibility, recruitment quantity, educational requirement, salary requirements, age requirement, social security, welfare, contact method, post work job requirements.For requiring, it is also possible to all gather.After all of data acquisition, with analysis of data collected module, data are carried out, supplement the data of not defect.Sort out field and the record of necessity.Selective analysis goes out: the number of recruits trend analysis over the years, post treatment trend analysis, recruitment number of the enterprise trend analysis, recruitment enterprise nature distribution situation over the years, educational requirement trend analysis and distribution situation;The chain rate of the number of recruits, on year-on-year basis, recruitment number of the enterprise on year-on-year basis, chain rate;Post recruitment frequency analysis etc..From different angles such as category of employment, occupational group, similar acquisition fields, data are analyzed.Analysis result, with forms such as form, block diagram, pie chart, linear graph and combination trendgrams, shows analysis result intuitively.
Embodiment 2:
Use the realization of network questionnaire collecting unit for the questionnaire data collection accurately of specific user:
User initially enters questionnaire editor module and carries out increasing questionnaire.User can select the questionnaire type that preserved in questionnaire storehouse the title that fills in questionnaires, or a newly-increased questionnaire type.Then, newly-increased questionnaire is edited by user: specifically, and user can carry out the following edit operation included, without being limited to: multiple-choice question type;Editor's exercise question stem and answer choice;The order of offering question answer choice;Order between amendment problem;Arrange different problem answers redirects logic etc..After newly-increased questionnaire editor completes, the questionnaire details of user's preview oneself, confirm that the errorless rear questionnaire issue collection module that accesses carries out the issue of questionnaire, and set the recovering condition of questionnaire, such as: every computer/mobile phone answers number of times 1 time, each IP can only answer once, reclaims how many parts of questionnaires then terminate questionnaire collect, to specify time point terminate questionnaire mobile phone, can only wechat user answers, wechat forwards the most effective and arranges definite remuneration for every part of questionnaire.And set a certain kind sent in using link collection, mailbox to collect of questionnaire link.Generate test paper list in questionnaire storehouse after questionnaire answer is reclaimed.User accesses questionnaire analysis module, is carried out converting according to predefined rule by test paper table data, the form of graphically+form, and each exercise question of questionnaire is analyzed statistics.
Embodiment 3:
Data acquisition is carried out for post task by post task collecting unit:
After the practice of student's Entry Firm, after completing the work plan of every day.Filling in and uploading operation debriefing, after student gets task, when filling in, which project needs can first select task is, it is also possible to do not select to be subordinated to which project.Filling out the time expected from task, the time that task really completes, the content of task is discussed in detail.Picture captured during simultaneously can enclosing task-cycle, video captured during task-cycle can be enclosed, or enclose the technical documentation of task-cycle process.After relevant daily paper is submitted to, collection person checks the debriefing list automatically generated by task acquisition module, or checks that the internship of single student is reported, can see the content of adnexa online simultaneously.The problem proposed in table for student is answered.The people for industry difference enterprise noises for various working years level can also be invited to assist collecting work task, form tasks listing.
Embodiment 4:
Put into practice expert interviewing can gather by putting into practice expert's collecting unit.
First allow expert write out themselves developmental stage, then write out and which has done respectively in the different stages and have the task of representative to allow his ability have the lifting of matter.Remarks understand to do what instrument of these representational tasks, which type of workflow simultaneously.When the task that each expert is filled in collects, form tasks listing.Allow all of expert select the representative task that this occupation needs from all working task list again, and these representational tasks are set weight.Collect and count the most typical task that can represent this professionalism.
The above; being only the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, any those skilled in the art is in technical scope disclosed by the invention; the change that can readily occur in or replacement, all should contain within protection scope of the present invention.Protection scope of the present invention is as the criterion with the protection domain of claims.

Claims (6)

1. a Specialized Construction investigation and course development system (CDS), it is characterised in that: include that website data gathers single Unit and website acquisition database, described website data collecting unit is used for by web crawlers technology to be collected Website carries out data scanning collection and is sent to the acquisition database of website by the data obtained;
Described website acquisition database includes category of employment data base, job category data base according to classification filing With collection field data storehouse;
Described website data collecting unit includes that collection rule arranges module, and acquisition tasks arranges module, gathers Task management module, analysis of data collected module, category of employment management module, job category management module, Gather field management module;
Described collection rule arrange module for arrange gather data rule, including arranging collection data critical Word and collection initial time;
Described acquisition tasks arranges module for adding, delete, editing acquisition tasks, arranges acquisition tasks and holds Line frequency;
Described acquisition tasks management module is used for the running status checking acquisition tasks, the data volume collected;
Described analysis of data collected module is for being carried out converting according to predefined rule to the data gathered And generate analysis chart and analyze form;
Described category of employment management module, for management industry category database, is safeguarded category of employment information, is added Add, delete, edit category of employment, check the collection data volume ranking of industry-by-industry;
Described job category management module, for managerial position category database, is safeguarded job category information, is added Add, delete, editorship classification, check the collection data volume ranking of each position;
Described collection field management module is used for managing collection field data storehouse, safeguards and gathers field information, adds Add, delete, edit collection field, check and safeguard that each gathers the similar field of field.
2. a kind of Specialized Construction investigation and course development system (CDS), it is characterised in that: also Including network questionnaire collecting unit, described network questionnaire collecting unit includes questionnaire data storehouse, questionnaire design mould Block, ask that volume management module, questionnaire are issued and analyze module with recycling module and questionnaire data;
Described questionnaire data storehouse is used for storing standard form questionnaire and user shares questionnaire;
Described questionnaire editor module is used for adding, deletes, edits and check questionnaire;Described editor's questionnaire includes Multiple-choice question type, edit stem, edit answer choice, arrange answer choice order, offering question order and set Put problem answers and redirect logic;
Described ask that volume management module is for checking test paper list, providing questionnaire and reward, delete invalid test paper, look into See test paper quantity, newly-increased/editor's questionnaire that questionnaire collects, remove questionnaire and collect data, check that questionnaire is collected The graphic analyses of data;
Described questionnaire is issued and is used for editing questionnaire published method, arranging questionnaire collection condition with recycling module, asks Editor questionnaire recipient is responded with a poem in retracting newspaper collecting;
Described questionnaire data is analyzed module and is used for accessing test paper list, and table data of answering the questions in a test paper is according to predefined rule Then it is carried out converting, generates and analyze chart and analyze form, the form of graphically+form, every to questionnaire One exercise question is analyzed statistics.
3. a kind of Specialized Construction investigation and course development system (CDS), it is characterised in that: institute State questionnaire published method and include that link is collected and mailbox is collected;Described link is collected, and refers to questionnaire generation Link is sent to portal website, forum or is sent directly to good friend and scanning Quick Response Code;Described mailbox is received Collection, is to relax to specify email accounts by the form of mail by questionnaire link;Described email accounts is individual Contact person's mailbox of people's central service, or newly-increased mailbox.
4. a kind of Specialized Construction investigation and course development system (CDS), it is characterised in that: also Including post task collecting unit and post assignment database;Described post task collecting unit bag Include task acquisition module, data classifying module, post statistical module, task statistical module and doubtful point system Meter module;
The internship that described post assignment database is submitted to for storing student is reported and is automatically generated student and appoints Business report list, described internship report includes word or document;
Described task acquisition module is used for the person of collection and checks student's debriefing list, or checks single Raw internship report;
The debriefing that student is filled in by described data classifying module for the person of collection carries out combing, merges similar Post, task and rub, form tasks listing;
Described post statistical module, for the practice number according to different posies, generates the practice people in different post Number ranking;
Described task statistical module searches the statistical result of different task for the person of collection: include completion rate statistics, Demographics, frequency statistics, statistics of average used time, doubtful point quantity statistics;
The work doubtful point that described doubtful point statistical module is mentioned in statistic debriefing.
5. a kind of Specialized Construction investigation and course development system (CDS), it is characterised in that: institute State post task collecting unit and also include project release module and project auditing module;Described project is issued Module is used for the person of collection and issues practice project;Described project auditing module is used for the person of collection and audits User The practice application passed.
6. a kind of Specialized Construction investigation and course development system (CDS), it is characterised in that: also Including putting into practice expert interviewing unit;Described expert interviewing unit of putting into practice includes that interview task arranges module, responsibility Task combing module, weight proportioning module, typical mission screening module, typical mission refinement module, attitude- Technical ability-knowledge (hereinafter referred to as ASK) management module, ASK analyze module, learning target management module, Practise Subject Manager module, task object topic module and task object management module;
Described interview task arranges module for managing interview task, initiating expert interviewing task, according to interview Industry, post, choose interview expert's account, set current task importance degree, difficulty, frequently Degree, standardization level, skill requirement degree coefficient, by the form of message in station, interview message request is sent out Give expert;
When interview task is in task enumeration phase, check the responsibilities and work enumerated with combing expert Task;
When interview task is in the weight proportioning stage, check expert's marking feelings to the Standard Task after combing Condition, and filter out typical mission according to marking;
When interview task is in task elaboration phase, typical mission is refined, including performance standard, Instrument fills in, fill in expert attitude, technical ability, knowledge carry out arranging and merge;
Described responsibility task combing module is used for responsibility and task, the conjunction that all experts are enumerated by the person's of collection combing And similar terms, check that standardization responsibility and expert submit the corresponding relation of responsibility to;
Standardized task is given a mark by described weight proportioning module for expert;
Described typical mission screening module checks the marking aggregate value of all experts for the person of collection;Final screening Go out typical mission;
Typical mission is edited by described typical mission refinement module for the person of collection;
Described ASK management module be used for the person of collection formed during to ASK classified finishing ASK data base, Or directly add, delete, edit ASK content;
Described ASK analyzes module, for expert, each typical tasks lists A attitude S technical ability K Knowledge;
Described learning target management module checks conventional tasking learning target for the person of collection;Or directly add, Delete, edit learning target;
Described study Subject Manager module is used for the person of collection and checks that conventional carry out learning target produces when theme maps Raw study theme;Or directly add, delete, edit study subject content;
Described task object topic module, for the refinement analysis to typical mission, is formed in typical tasks ASK and learning target and the corresponding relation of study theme;
Described task object management module checks the typical mission refined, according to standard for the person of collection ASK content fills in the learning target of each task.
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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107203872A (en) * 2017-05-26 2017-09-26 山东省科学院情报研究所 Region demand for talent based on big data quantifies analysis method
CN107239892A (en) * 2017-05-26 2017-10-10 山东省科学院情报研究所 Region talent's equilibrium of supply and demand quantitative analysis method based on big data
CN107862633A (en) * 2017-10-30 2018-03-30 万博云信(北京)教育科技有限公司 A kind of student is with reform practice system
CN107909406A (en) * 2017-11-24 2018-04-13 北京旷维万象科技有限公司 A kind of market survey service platform based on internet
CN108648120A (en) * 2018-05-11 2018-10-12 重庆工商职业学院 A kind of institute's employment data analysis method and system
CN109583851A (en) * 2018-12-26 2019-04-05 北京金山奇剑数码科技有限公司 A kind of data transmission method, device, electronic equipment and readable storage medium storing program for executing
CN109614595A (en) * 2018-12-10 2019-04-12 上海掌门科技有限公司 A kind of questionnaire method, equipment and storage medium
CN114841508A (en) * 2022-03-28 2022-08-02 无锡凯数科技有限公司 Course group derivation and course system construction analysis platform

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101894315A (en) * 2009-04-22 2010-11-24 美国银行公司 The academic system that is used for Knowledge Management System
CN102122294A (en) * 2011-01-29 2011-07-13 安徽工业大学 Survey research platform and method for psychology of college student for course selection based on data mining
CN102646229A (en) * 2012-02-26 2012-08-22 云南电网公司 Fuzzy comprehensive evaluation method of adaptation between employee and position of enterprise
CN103294816A (en) * 2013-06-09 2013-09-11 广东倍智人才管理咨询有限公司 Method and system for recommending positions for job seeker
US8894417B2 (en) * 2013-02-05 2014-11-25 Ayla Mandel Guiding a child to perform tasks

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101894315A (en) * 2009-04-22 2010-11-24 美国银行公司 The academic system that is used for Knowledge Management System
CN102122294A (en) * 2011-01-29 2011-07-13 安徽工业大学 Survey research platform and method for psychology of college student for course selection based on data mining
CN102646229A (en) * 2012-02-26 2012-08-22 云南电网公司 Fuzzy comprehensive evaluation method of adaptation between employee and position of enterprise
US8894417B2 (en) * 2013-02-05 2014-11-25 Ayla Mandel Guiding a child to perform tasks
CN103294816A (en) * 2013-06-09 2013-09-11 广东倍智人才管理咨询有限公司 Method and system for recommending positions for job seeker

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
朱志远: "D1基于数据挖掘的网络招聘系统的设计与实现", 《万方》 *
李佳: "D2在线市场调研系统设计与实现", 《百度学术》 *

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107203872B (en) * 2017-05-26 2020-06-02 山东省科学院情报研究所 Regional talent demand quantitative analysis method based on big data
CN107239892A (en) * 2017-05-26 2017-10-10 山东省科学院情报研究所 Region talent's equilibrium of supply and demand quantitative analysis method based on big data
CN107203872A (en) * 2017-05-26 2017-09-26 山东省科学院情报研究所 Region demand for talent based on big data quantifies analysis method
CN107239892B (en) * 2017-05-26 2021-06-15 山东省科学院情报研究所 Regional talent supply and demand balance quantitative analysis method based on big data
CN107862633A (en) * 2017-10-30 2018-03-30 万博云信(北京)教育科技有限公司 A kind of student is with reform practice system
CN107909406A (en) * 2017-11-24 2018-04-13 北京旷维万象科技有限公司 A kind of market survey service platform based on internet
CN108648120B (en) * 2018-05-11 2021-07-09 重庆工商职业学院 Academic employment data analysis method and system
CN108648120A (en) * 2018-05-11 2018-10-12 重庆工商职业学院 A kind of institute's employment data analysis method and system
CN109614595A (en) * 2018-12-10 2019-04-12 上海掌门科技有限公司 A kind of questionnaire method, equipment and storage medium
CN109614595B (en) * 2018-12-10 2023-07-04 上海掌门科技有限公司 Questionnaire method, device and storage medium
CN109583851A (en) * 2018-12-26 2019-04-05 北京金山奇剑数码科技有限公司 A kind of data transmission method, device, electronic equipment and readable storage medium storing program for executing
CN109583851B (en) * 2018-12-26 2022-03-08 北京金山奇剑数码科技有限公司 Data transmission method and device, electronic equipment and readable storage medium
CN114841508A (en) * 2022-03-28 2022-08-02 无锡凯数科技有限公司 Course group derivation and course system construction analysis platform

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