CN107423563A - A kind of students psychology analysis method, equipment and its storage medium - Google Patents

A kind of students psychology analysis method, equipment and its storage medium Download PDF

Info

Publication number
CN107423563A
CN107423563A CN201710612293.2A CN201710612293A CN107423563A CN 107423563 A CN107423563 A CN 107423563A CN 201710612293 A CN201710612293 A CN 201710612293A CN 107423563 A CN107423563 A CN 107423563A
Authority
CN
China
Prior art keywords
student
card
swiping
analysis
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201710612293.2A
Other languages
Chinese (zh)
Inventor
蔡家坡
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sangfor Technologies Co Ltd
Original Assignee
Sangfor Technologies Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sangfor Technologies Co Ltd filed Critical Sangfor Technologies Co Ltd
Priority to CN201710612293.2A priority Critical patent/CN107423563A/en
Publication of CN107423563A publication Critical patent/CN107423563A/en
Pending legal-status Critical Current

Links

Classifications

    • 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/20Education
    • G06Q50/205Education administration or guidance
    • 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/01Social networking

Abstract

This application discloses a kind of students psychology analysis method, equipment and its storage medium, this method includes:The behavioral data of student is obtained in communication equipment out of campus;The behavioral data is analyzed, obtains the behavioural characteristic of student;Utilize the psychologic status of behavioural characteristic analysis student.As from the foregoing, the present invention is used for the behavioral data for analyzing students psychology, it is caused by student's daily life, and the data obtained from campus communication equipment, the acquisition process of above-mentioned behavioral data is cooperated with one's own initiative without student's, it is possible thereby to avoid influence of the students ' subjective attitude to data objectivity, so as to improve the objectivity of data, on this basis, by analyzing the above-mentioned objective behavioral data got, the reliability of students psychology analysis result can effectively be lifted, and then the student that can find to have psychological problems hidden danger in time and take corresponding psychological intervention measure.

Description

A kind of students psychology analysis method, equipment and its storage medium
Technical field
The present invention relates to data analysis technique field, more particularly to a kind of students psychology analysis method, equipment and its storage Medium.
Background technology
In recent years, because ascendant trend is presented in bad campus incident caused by the various psychological problems of student, it is found that the heart Reason health plays vital effect for the studying and living of student.Student's psychological problems origin cause of formation is analyzed, passes through various ways Footpath is correctly guided student, cultivates the psychological quality of health, is the active demand that each colleges and universities prevent bad campus incident.Mesh Before, most colleges and universities carry out Evaluation on psychological health work typically by the way of the investigation of student's personality when new life enters a school Make, so as to there is the student of psychological problems to be intervened in time.But this mode is difficult to find that senior class has psychological problems Student, and it is extremely low to detect frequency, it is impossible to ensures that student completes questionnaire with objective attitude, so there is to students psychology Test and assess the problem of inaccurate.
In addition, colleges and universities are additionally provided with College Students'Mental Health course and undergraduate psychological service network, both sides Formula be required for student itself pay attention to psychological problems and it is positive ask for help, and in a practical situation, there is psychological problems The student of hidden danger is typically to be difficult to find and passive.
The content of the invention
In view of this, it is an object of the invention to provide a kind of students psychology analysis method, equipment and its storage medium, energy It is enough objectively to analyze students psychology in time, the student that psychological problems hidden danger be present is actively discovered, timely psychological intervention can be carried out. Its concrete scheme is as follows:
A kind of student information analysis method, including:
The behavioral data of student is obtained in communication equipment out of campus;
The behavioral data is analyzed, obtains the behavioural characteristic of student;
Utilize the psychologic status of behavioural characteristic analysis student.
Alternatively, the process of the behavioral data of student is obtained in the communication equipment out of campus, including:
The behavioral data of swiping the card of student is obtained in all-purpose card equipment out of campus;
Correspondingly, the behavioral data to student is analyzed, and obtains the process of the behavioural characteristic of student, including:
To in the behavioral data of swiping the card of student swipe the card place and/or charge time and/or frequency of swiping the card counts, obtain To corresponding first statistical information;
Go out the behavioural characteristic of swiping the card of student using first Statistical Information Analysis.
Alternatively, the process of the behavioral data of student is obtained in the communication equipment out of campus, including:
The online Social behaviors data of student are obtained in network playing by students terminal device out of campus;
Correspondingly, the behavioral data to student is analyzed, and obtains the process of the behavioural characteristic of student, including:
Social scope in the online Social behaviors data of student and/or social frequency are counted, obtain the second system Count information;
Go out the online Social behaviors feature of student using second Statistical Information Analysis.
Alternatively, the process of the behavioral data of student is obtained in the communication equipment out of campus, including:
The behavioral data of swiping the card of student, and the network playing by students end out of campus are obtained in all-purpose card equipment out of campus The online Social behaviors data of student are obtained in end equipment.
Alternatively, the behavioral data to student is analyzed, and obtains the process of the behavioural characteristic of student, including:
To in the behavioral data of swiping the card of student swipe the card place and/or charge time and/or frequency of swiping the card counts, obtain To the 3rd statistical information;
Go out the behavioural characteristic of swiping the card of student using the 3rd Statistical Information Analysis;
The behavioural characteristic student consistent with default behavioural characteristic of swiping the card that swipe the card is filtered out from all students, obtains first Class target student;
Social scope in the online Social behaviors data of the first kind target student and/or social frequency are united Meter, obtains the 4th statistical information;
Go out the online Social behaviors feature of the first kind target student using the 4th Statistical Information Analysis.
Alternatively, the behavioral data to student is analyzed, and obtains the process of the behavioural characteristic of student, including:
Social scope in the online Social behaviors data of student and/or social frequency are counted, obtain the 5th system Count information;
Go out the online Social behaviors feature of student using the 5th Statistical Information Analysis;
The online Social behaviors feature student consistent with presetting online Social behaviors feature is filtered out from all students, Obtain the second class target student;
Swiping the card in the behavioral data of swiping the card of the second class target student and/or is swiped the card at place and/or charge time Frequency is counted, and obtains the 6th statistical information;
Go out the behavioural characteristic of swiping the card of the second class target student using the 6th Statistical Information Analysis.
Alternatively, the process of the behavioural characteristic of swiping the card of student is gone out using Statistical Information Analysis corresponding to behavioral data of swiping the card, Including:
The behavior related information of swiping the card gone out using Statistical Information Analysis corresponding to behavioral data of swiping the card between student.
Alternatively, the behavioural characteristic using student analyzes the psychologic status of student, including:
Utilize the personal preference and/or communication circle of behavioural characteristic analysis student;
Utilize the personal preference of student and/or the psychologic status of communication circle analysis student.
The present invention further provides a kind of students psychology analytical equipment, the students psychology analytical equipment includes:Memory, Processor and the students psychology analysis program that can be run on the memory and on the processor is stored in, student's heart The step of reason analysis program is arranged for carrying out students psychology analysis method as previously disclosed.
The present invention further provides a kind of computer-readable recording medium, it is stored with the computer-readable recording medium Students psychology analysis program, students psychology point as previously disclosed is realized when the students psychology analysis program is executed by processor The step of analysis method.
In students psychology analysis method disclosed by the invention, equipment and its storage medium, received according to communication equipment in campus The students ' behavior data of collection, analysis obtain the behavioural characteristic of student, and the psychologic status of student is analyzed using the behavioural characteristic.By Upper to understand, the present invention is used for the behavioral data for analyzing students psychology, is caused in student's daily life, and communication is set from campus The standby data obtained, acquisition process the cooperating with one's own initiative without student of above-mentioned behavioral data, it is possible thereby to avoid student master Influence of the attitude to data objectivity is seen, so as to improve the objectivity of data, on this basis, by being got to above-mentioned Objective behavioral data is analyzed, and can effectively lift the reliability of students psychology analysis result, and then can be found in time The student of psychological problems hidden danger be present and take corresponding psychological intervention measure.
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 The embodiment of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis The accompanying drawing of offer obtains other accompanying drawings.
Fig. 1 is a kind of flow chart of students psychology analysis method disclosed in the embodiment of the present invention;
Fig. 2 is the flow chart of the specific embodiment one of students psychology analysis method disclosed in the embodiment of the present invention;
Fig. 3 is the flow chart of the specific embodiment two of students psychology analysis method disclosed in the embodiment of the present invention;
Fig. 4 is the flow chart of the specific embodiment three of students psychology analysis method disclosed in the embodiment of the present invention;
Fig. 5 is a kind of specific unsociable and eccentric psychoanalysis flow chart disclosed in the embodiment of the present invention;
Fig. 6 is the flow chart of the specific embodiment four of students psychology analysis method disclosed in the embodiment of the present invention;
Fig. 7 is a kind of structure chart of students psychology analysis system disclosed in the embodiment of the present invention;
Fig. 8 is a kind of structure chart of students psychology analytical equipment disclosed in the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not made Embodiment, belong to the scope of protection of the invention.
Shown in Figure 1 the embodiment of the invention discloses a kind of students psychology analysis method, Fig. 1 is the embodiment of the present invention The flow chart of students psychology analysis method, comprises the following steps:
Step S11:The behavioral data of student is obtained in communication equipment out of campus.
In the embodiment of the present invention, because the communication equipment in campus is an indispensable part in student's daily life, Such as all-in-one campus card equipment, mainly there is comprehensive consumer, identification class, financial service class and public information service class etc. Function, student comes in and goes out to handle affairs everywhere in school only need to use all-in-one campus card equipment by campus card.So by campus one The student that cartoon equipment is collected into swipes the card behavioral data, behavior phenomenon and the behavioural characteristic that can reflect in student's daily life. In addition also include network log-in management equipment, the online Social behaviors of student can be obtained from the access terminals equipment of student Data, so the students ' behavior data that the communication equipment in campus is collected into are true, effective and objective.
Certainly, the students ' behavior data obtained in the communication equipment out of campus are not limited in both, according to reality Situation can have more more options.
Step S12:The behavioral data is analyzed, obtains the behavioural characteristic of student.
Wherein, behavioral data conditionally screen, count and arrange, it is special that the personal behavior of student can be obtained Sign, and the behavioural characteristic between student and student, its detailed process will be described in detail later.
Step S13:Utilize the psychologic status of behavioural characteristic analysis student.
Specifically, student individual's preference and/or friendship can be analyzed according to the behavioural characteristic of the student obtained in step S12 The social aspects such as border circle, the psychologic status of student can be analyzed by personal preference or communication circle, can be with comprehensive analysis The two so improve precision of analysis.
Students psychology analysis method disclosed in the embodiment of the present invention, the students ' behavior number collected according to communication equipment in campus According to analysis obtains the behavioural characteristic of student, and the psychologic status of student is analyzed using the behavioural characteristic.It is from the foregoing, it will be observed that of the invention Embodiment is used for the behavioral data for analyzing students psychology, is caused in student's daily life, and obtained from campus communication equipment Data, acquisition process the cooperating with one's own initiative without student of above-mentioned behavioral data, it is possible thereby to avoid students ' subjective attitude Influence to data objectivity, so as to improve the objectivity of data, on this basis, by the above-mentioned objective row got Analyzed for data, can effectively lift the reliability of students psychology analysis result, and then can find the heart be present in time The student of reason problem hidden danger simultaneously takes corresponding psychological intervention measure.
Shown in Figure 2, Fig. 2 is the stream of the specific embodiment one of students psychology analysis method disclosed in the embodiment of the present invention Cheng Tu, comprise the following steps:
Step S21:The behavioral data of swiping the card of student is obtained in all-purpose card equipment out of campus.
Specifically, the behavioral data of swiping the card obtained in the all-purpose card equipment out of campus, can be that number of swiping the card is consumed in dining room According to, library disengaging brushing card data etc., the attributes such as place, time and frequency that student swipes the card can be reflected.
Step S22:To in the behavioral data of swiping the card of student swipe the card place and/or charge time and/or frequency of swiping the card is entered Row statistics, obtains corresponding first statistical information.
It is understood that the behavioral data that will be swiped the card in step S22 carries out sorting-out in statistics as needed, obtained statistics letter Breath can more intuitively reflect the behavior property of student, and more conducively analysis speculates its behavioural characteristic.
Step S23:Go out the behavioural characteristic of swiping the card of student using first Statistical Information Analysis.
Specifically, by swipe the card place or charge time or the frequency of swiping the card of statistics, the brush of single student can be analyzed Card preference, such as swipe the card frequency of certain student in some place of swiping the card are of a relatively high, can analyze student's preference easily and exist Swipe the card in the place;By statistical information corresponding to behavioral data of swiping the card, that is, swipe the card place, charge time and frequency of swiping the card has bar The combinatory analysis of part ground, can analyze the behavior related information of swiping the card between student, such as certain crowd of students, close when swiping the card Between, the frequency of swiping the card in place of somewhere swiping the card is higher, the behavior of swiping the card of this crowd of students can be determined as association, here with And the behavioural characteristic process of swiping the card described hereinafter for going out student by Statistical Information Analysis corresponding to behavioral data of swiping the card, can be with Realized by such a mode.Certainly, previously described analysis mode is not limited to that, and charge time window therein with And frequency of swiping the card, it can need to manually change according to the precision of actual analysis.
Step S24:Student's psychologic status is analyzed using the behavioural characteristic.
Specifically, on the one hand, the behavioural characteristic that certain the student's preference obtained by step S23 is swiped the card in certain place, according to The personal preference of the function attribute analysis student in the place, for example if the place is library, can analyze the student can It can like and read, if the place is sports ground, can analyze the student may be keen on sports;On the other hand, step is passed through The group behavior feature that S23 is obtained, such as certain crowd of students, in close charge time, the frequency of swiping the card in place of somewhere swiping the card It is higher, the student group can be analyzed and be particularly likely that the communication circle that relation group be present.
The communication circle of student is most to reflect one of phenomenon of students psychology situation, for example, communication number of turns amount and/or communication The more student of circle number, it is usually active, conversely, student fewer in number is enclosed in communication number of turns amount and/or communication, be usually Unsociable and eccentric.And if considering the personal preference of student, some can be further excluded because individual factor is with other people Dealing is not very close student.For example, some student swipes the card through frequenting a library, reading may be liked by analyzing the student, Further analyzing the personality of student may be more introversive gentle and quiet, so the communication number of turns amount whether unsociable and eccentric for judging the student And/or communication circle people's said conditions can be reduced suitably.So, the analysis result in real life can be made more accurate.
Shown in Figure 3, Fig. 3 is the stream of the specific embodiment two of students psychology analysis method disclosed in the embodiment of the present invention Cheng Tu, comprise the following steps:
Step S31:The online Social behaviors data of student are obtained in network playing by students terminal device out of campus.
Usually, school can help student's control and management campus network by network log-in management equipment, there is web page access The functions such as filtering, network application control, bandwidth traffic management, information transmit-receive audit and user behavior analysis.Student needs to use After campus network account with self-identity information logs in, campus network can be just used, so network log-in management equipment can The pupilage information from different terminals is distinguished, successfully obtains the online Social behaviors data of each student.
Step S32:Social scope in the online Social behaviors data of student and/or social frequency are counted, obtained To the second statistical information.
Similarly, online Social behaviors data are subjected to sorting-out in statistics as needed.
Step S33:Go out the online Social behaviors feature of student using second Statistical Information Analysis.
Specifically, by the step S32 social scopes obtained and/or social frequency, the relation between student is analyzed.Example Such as, student A is often contacted by certain social software and student B, when student A and student B social frequency exceed predeterminated frequency threshold During value, it is believed that there is friends between student A and student B, can determine by this way between more students Relation, and then obtain the communication circle of student.Certainly, the frequency threshold can change as needed.
Step S34:Utilize the psychologic status of behavioural characteristic analysis student.
Specifically, the communication circle obtained according to step S33, the psychologic status of student can be analyzed.For example, some communications The student that number of turns amount is few and/or communication circle number is few, it is most likely that be the student for having unsociable and eccentric tendency, while can also consider The social frequency of student is analyzed, for example, it is fewer in number in the communication circle of certain student, but the student and the people in communication circle are social Frequency is higher, can be needed to exclude the student outside unsociable and eccentric student according to the precision of actual analysis.
Shown in Figure 4, Fig. 4 is the stream of the specific embodiment three of students psychology analysis method disclosed in the embodiment of the present invention Cheng Tu, comprise the following steps:
Step S41:The behavioral data of swiping the card of student, and out of campus are obtained in all-purpose card equipment out of campus The online Social behaviors data of student are obtained in raw access terminals equipment.
Step S42:To in the behavioral data of swiping the card of student swipe the card place and/or charge time and/or frequency of swiping the card is entered Row statistics, obtains the 3rd statistical information.
Step S43:Go out the behavioural characteristic of swiping the card of student using the 3rd Statistical Information Analysis.
Step S44:The behavioural characteristic student consistent with default behavioural characteristic of swiping the card that swipe the card is filtered out from all students, Obtain first kind target student.
In this specific embodiment, the psychological factor analyzed as needed, default behavioural characteristic of swiping the card, for example, wanting to analyze Whether student is unsociable and eccentric, behavioural characteristic of swiping the card can be preset as communication number of turns amount and/or the threshold value for circle number of communicating, when the friendship of student When border number of turns amount and/or communication circle number are less than the threshold value, the student is set to first kind target student.
Step S45:To the social scope in the online Social behaviors data of the first kind target student and/or social frequency Rate is counted, and obtains the 4th statistical information.
It is understood that the student for needing to count online Social behaviors data in step S45 is to be obtained in step S44 First kind target student, be the preliminary student for suspecting and having unsociable and eccentric tendency.
Step S46:The online Social behaviors for going out the first kind target student using the 4th Statistical Information Analysis are special Sign.
Step S47:Utilize the psychologic status of the online Social behaviors signature analysis student.
It can be seen that first kind target student is based on online Social behaviors data by this specific embodiment carries out further psychology Status analysis.Exemplified by analyzing unsociable and eccentric tendency, if learn that student A is doubtful to there is the student of unsociable and eccentric tendency in step S44, but By the online Social behaviors data analysis in further step S45 to step S47, learn student often with other student societies Crosslinking system, the unsociable and eccentric student group divided with online Social behaviors feature is not belonging to, considers and learns, student's A preferences are with net Network carries out social activity, so being not belonging to the student of unsociable and eccentric tendency.So it can so exclude in real life with other students It is less to check card together, but the pseudo- unsociable and eccentric tendency student of online doings is often participated in, it is more really and accurately unsociable and eccentric so as to obtain It is inclined to the data of student.
For example, with reference to shown in Fig. 5, first with dining room consumption card machine, card-maker is entered in library and dormitory enters card-maker etc. The student recorded in all-purpose card equipment swipes the card behavioral data, and initial analysis goes out social circle's information of student, and then determines to provide There is the preliminary person of unsociable and eccentric suspicion, then by network playing by students control device, obtain the Social behaviors data of above-mentioned preliminary person, It is finally that social circle is narrow and be defined as having unsociable and eccentric psychological student without the less student of Social behaviors or Social behaviors.
Shown in Figure 6, Fig. 6 is the stream of the specific embodiment four of students psychology analysis method disclosed in the embodiment of the present invention Cheng Tu, comprise the following steps:
Step S51:The behavioral data of swiping the card of student, and out of campus are obtained in all-purpose card equipment out of campus The online Social behaviors data of student are obtained in raw access terminals equipment.
Step S52:Social scope in the online Social behaviors data of student and/or social frequency are counted, obtained To the 5th statistical information.
Step S53:Go out the online Social behaviors feature of student using the 5th Statistical Information Analysis.
Step S54:Online Social behaviors feature is filtered out from all students with presetting online Social behaviors feature phase one The student of cause, obtain the second class target student.
In this specific embodiment, using online Social behaviors data as initial screening foundation, it will be learned according to preparatory condition It is raw to carry out preliminary classification, obtain the second class target student.
Step S55:To swiping the card place and/or charge time in the behavioral data of swiping the card of the second class target student And/or frequency of swiping the card is counted, the 6th statistical information is obtained.
Step S56:Go out the behavioural characteristic of swiping the card of the second class target student using the 6th Statistical Information Analysis.
Step S57:Utilize the psychologic status of the behavioural characteristic analysis student that swipes the card.
It can be seen that the second class target student is based on the further psychologic status of behavioral data progress of swiping the card by this specific embodiment Analysis.Again exemplified by analyzing unsociable and eccentric tendency, if learn that student B is doubtful to there is the student of unsociable and eccentric tendency in step S54, but Analyzed by further step S55 to step S57 behavioral data of swiping the card, learn that the student often brushes with together with other students Card activity, it is not belonging to, with the unsociable and eccentric student group for behavioural characteristic division of swiping the card, consider and learn, student B preferences reality is social Activity, so being not belonging to the student of unsociable and eccentric tendency.So it is less so to exclude online Social behaviors, but real society Turn over a finished item it is dynamic participate in more pseudo- unsociable and eccentric tendency student, obtain more really and accurately unsociable and eccentric data for being inclined to student.
If it should be noted that in a practical situation, there are the data that can more analyze students psychology, point of the data Sequencing when analysing processing direction, and being analyzed with other aggregation of data, should not all be limited, all should be according to the inventive method The expansion scheme that core concept rationally extends, should all be included within protection domain.
In addition, students psychology analysis method provided by the present invention has a variety of application directions.For example, analysis draws orphan Out-of-the-way tendency student is rationally intervened, and reduces students psychology problem;Analysis draws active export-oriented student, in class leader and/or Student group is paid the utmost attention to when campaigning for, and the work of link man is managed in the more competent student group of active student.
Correspondingly, the embodiment of the present invention also provides a kind of students psychology analysis system, shown in Figure 7, and Fig. 7 is the present invention A kind of structure chart of students psychology analysis system, the system include disclosed in embodiment:
Acquisition module 61, the behavioral data of student is obtained in the communication equipment out of campus for obtaining;
Behavioral data analysis module 62, for analyzing the behavioral data, obtain the behavioural characteristic of student;
Behavioural characteristic analysis module 63, for the psychologic status using behavioural characteristic analysis student.
It can be seen that the students ' behavior data that the embodiment of the present invention is collected according to communication equipment in campus, analysis obtains student's Behavioural characteristic, the psychologic status of student is analyzed using the behavioural characteristic.From the foregoing, it will be observed that the embodiment of the present invention is used to analyze student The behavioral data of psychology, it is data that are caused, and being obtained from campus communication equipment, above-mentioned behavioral data in student's daily life Acquisition process cooperating with one's own initiative without student, it is possible thereby to avoid influence of the students ' subjective attitude to data objectivity, So as to improve the objectivity of data, on this basis, by analyzing the above-mentioned objective behavioral data got, The reliability of students psychology analysis result is effectively lifted, and then the student that can find to have psychological problems hidden danger in time and is adopted Take corresponding psychological intervention measure.
Specifically, above-mentioned behavioural characteristic analysis module 63 can include the first analytic unit and the second analytic unit;Wherein:
First analytic unit, for the personal preference and/or communication circle using behavioural characteristic analysis student;
Second analytic unit, for the personal preference using student and/or the psychologic status of communication circle analysis student.
In a kind of specific embodiment, above-mentioned acquisition module 61, it can specifically include first acquisition unit, for from campus The behavioral data of swiping the card of student is obtained in interior all-purpose card equipment;
Correspondingly, above-mentioned behavioral data analysis module 62 can specifically include the first statistic unit and first and swipe the card behavior point Analyse unit;Wherein,
First statistic unit, for swipe the card place and/or charge time and/or the brush in the behavioral data of swiping the card to student Card frequency is counted, and obtains corresponding first statistical information;
First swipes the card behavioural analysis unit, for going out the behavior spy that swipes the card of student using first Statistical Information Analysis Sign.
Wherein, first in this embodiment is swiped the card behavioural analysis unit, and behavior of swiping the card described hereinafter Analytic unit, it specifically can be used for the behavior pass of swiping the card gone out using Statistical Information Analysis corresponding to behavioral data of swiping the card between student Join information.
In another embodiment, above-mentioned acquisition module 61, can specifically include second acquisition unit, for from The online Social behaviors data of student are obtained in network playing by students terminal device in campus;
Correspondingly, above-mentioned behavioral data analysis module 62 can specifically include the second statistic unit and the first internet behavior point Analyse unit;Wherein:
Second statistic unit, enter for the social scope in the online Social behaviors data to student and/or social frequency Row statistics, obtains the second statistical information;
First internet behavior analytic unit, for going out the online Social behaviors of student using second Statistical Information Analysis Feature.
In another embodiment, above-mentioned acquisition module 61, it can specifically include the 3rd acquiring unit and the 4th Acquiring unit;Wherein:
3rd acquiring unit, for obtaining the behavioral data of swiping the card of student in the all-purpose card equipment out of campus;
4th acquiring unit, for obtaining the online Social behaviors number of student in the network playing by students terminal device out of campus According to.
Above-mentioned behavioral data analysis module 62 can specifically include:
3rd statistic unit, for swipe the card place and/or charge time and/or the brush in the behavioral data of swiping the card to student Card frequency is counted, and obtains the 3rd statistical information;
Second swipes the card behavioural analysis unit, for going out the behavior spy that swipes the card of student using the 3rd Statistical Information Analysis Sign;
First screening unit, for filtering out swipe the card behavioural characteristic and default behavioural characteristic phase one of swiping the card from all students The student of cause, obtain first kind target student;
4th statistic unit, for the social scope in the online Social behaviors data to the first kind target student And/or social frequency is counted, the 4th statistical information is obtained;
Second internet behavior analytic unit, for going out the first kind target student using the 4th Statistical Information Analysis Online Social behaviors feature.
In another embodiment, above-mentioned behavioral data analysis module 62 can specifically include:
5th statistic unit, the social scope in the online Social behaviors data of student and/or social frequency are united Meter, obtains the 5th statistical information;
3rd internet behavior analytic unit, for going out the online Social behaviors of student using the 5th Statistical Information Analysis Feature;
Second screening unit, for filtering out online Social behaviors feature from all students with presetting online Social behaviors The consistent student of feature, obtain the second class target student;
6th statistic unit, swiping the card in the behavioral data of swiping the card of the second class target student and/or is swiped the card at place Time and/or frequency of swiping the card are counted, and obtain the 6th statistical information;
3rd swipes the card behavioural analysis unit, for going out the second class target student using the 6th Statistical Information Analysis Behavioural characteristic of swiping the card.
It may be referred on the modules in above-mentioned students psychology analysis system and the more specifical course of work of unit Corresponding contents disclosed in previous embodiment, are no longer repeated herein.
Further, the embodiment of the present invention additionally provides a kind of students psychology analytical equipment, shown in Figure 8, and Fig. 8 is this A kind of structure chart of students psychology analytical equipment, the equipment include disclosed in inventive embodiments:
Memory 71, for storing students psychology analysis program, the students psychology analysis program is arranged for carrying out as preceding The step of stating students psychology analysis method disclosed in embodiment;
Processor 72, for running the students psychology analysis program being stored on the memory.
Finally, the embodiment of the present invention further provides a kind of computer-readable recording medium, described computer-readable to deposit Students psychology analysis program is stored with storage media, such as foregoing reality is realized when the students psychology analysis program is executed by processor The step of applying students psychology analysis method disclosed in example.
Students psychology analysis method storage running in the equipment and its storage medium, can more easily be obtained Analysis result.
In the embodiment of the present invention, according to the students ' behavior data of communication equipment collection in campus, analysis obtains the row of student It is characterized, the psychologic status of student is analyzed using the behavioural characteristic.Wherein described behavioral data can be it is a kind of or It is a variety of, needed according to the precision of actual analysis rationally to accept or reject;The analysis sequence of a variety of behavioral datas is also that basis is actually needed Determine, the embodiment of the present invention does not limit.And the behavioral data is obtained by campus communication equipment, the daily life of student is come from Living, detection frequency can also be needed according to the precision of actual analysis to determine, by objective data by school's active analysis, kept away Having exempted from the subjective attitude of student influences, so obtained students psychology evaluation result is quite accurate.
Finally, it is to be noted that, herein, such as first and second or the like relational terms be used merely to by One entity or operation make a distinction with another entity or operation, and not necessarily require or imply these entities or operation Between any this actual relation or order be present.Moreover, term " comprising ", "comprising" or its any other variant meaning Covering including for nonexcludability, so that process, method, article or equipment including a series of elements not only include that A little key elements, but also the other element including being not expressly set out, or also include for this process, method, article or The intrinsic key element of equipment.In the absence of more restrictions, the key element limited by sentence "including a ...", is not arranged Except other identical element in the process including the key element, method, article or equipment being also present.
Students psychology analysis method, equipment and its storage medium provided by the present invention are described in detail above, Specific case used herein is set forth to the principle and embodiment of the present invention, and the explanation of above example is simply used Understand the method and its core concept of the present invention in help;Meanwhile for those of ordinary skill in the art, according to the present invention's Thought, there will be changes in specific embodiments and applications, in summary, this specification content should not be construed as Limitation of the present invention.

Claims (10)

  1. A kind of 1. students psychology analysis method, it is characterised in that including:
    The behavioral data of student is obtained in communication equipment out of campus;
    The behavioral data is analyzed, obtains the behavioural characteristic of student;
    Utilize the psychologic status of behavioural characteristic analysis student.
  2. 2. according to the method for claim 1, it is characterised in that the row of student is obtained in the communication equipment out of campus For the process of data, including:
    The behavioral data of swiping the card of student is obtained in all-purpose card equipment out of campus;
    Correspondingly, the behavioral data to student is analyzed, and obtains the process of the behavioural characteristic of student, including:
    To in the behavioral data of swiping the card of student swipe the card place and/or charge time and/or frequency of swiping the card counts, obtain phase The first statistical information answered;
    Go out the behavioural characteristic of swiping the card of student using first Statistical Information Analysis.
  3. 3. according to the method for claim 1, it is characterised in that the row of student is obtained in the communication equipment out of campus For the process of data, including:
    The online Social behaviors data of student are obtained in network playing by students terminal device out of campus;
    Correspondingly, the behavioral data to student is analyzed, and obtains the process of the behavioural characteristic of student, including:
    Social scope in the online Social behaviors data of student and/or social frequency are counted, obtain the second statistics letter Breath;
    Go out the online Social behaviors feature of student using second Statistical Information Analysis.
  4. 4. according to the method for claim 1, it is characterised in that the row of student is obtained in the communication equipment out of campus For the process of data, including:
    The behavioral data of swiping the card of student is obtained in all-purpose card equipment out of campus, and network playing by students terminal out of campus is set The online Social behaviors data of standby middle acquisition student.
  5. 5. according to the method for claim 4, it is characterised in that the behavioral data to student is analyzed, and is learned The process of raw behavioural characteristic, including:
    To in the behavioral data of swiping the card of student swipe the card place and/or charge time and/or frequency of swiping the card counts, obtain Three statistical informations;
    Go out the behavioural characteristic of swiping the card of student using the 3rd Statistical Information Analysis;
    The behavioural characteristic student consistent with default behavioural characteristic of swiping the card that swipe the card is filtered out from all students, obtains the first classification Mark student;
    Social scope in the online Social behaviors data of the first kind target student and/or social frequency are counted, Obtain the 4th statistical information;
    Go out the online Social behaviors feature of the first kind target student using the 4th Statistical Information Analysis.
  6. 6. according to the method for claim 4, it is characterised in that the behavioral data to student is analyzed, and is learned The process of raw behavioural characteristic, including:
    Social scope in the online Social behaviors data of student and/or social frequency are counted, obtain the 5th statistics letter Breath;
    Go out the online Social behaviors feature of student using the 5th Statistical Information Analysis;
    The online Social behaviors feature student consistent with presetting online Social behaviors feature is filtered out from all students, is obtained Second class target student;
    To swipe the card place and/or charge time and/or the frequency of swiping the card in the behavioral data of swiping the card of the second class target student Counted, obtain the 6th statistical information;
    Go out the behavioural characteristic of swiping the card of the second class target student using the 6th Statistical Information Analysis.
  7. 7. according to the method described in claim 2 or 5 or 6, it is characterised in that utilize statistical information corresponding to behavioral data of swiping the card The process of the behavioural characteristic of swiping the card of student is analyzed, including:
    The behavior related information of swiping the card gone out using Statistical Information Analysis corresponding to behavioral data of swiping the card between student.
  8. 8. method according to any one of claim 1 to 6, it is characterised in that the behavioural characteristic using student point The psychologic status of student is analysed, including:
    Utilize the personal preference and/or communication circle of behavioural characteristic analysis student;
    Utilize the personal preference of student and/or the psychologic status of communication circle analysis student.
  9. 9. a kind of students psychology analytical equipment, it is characterised in that the students psychology analytical equipment includes:Memory, processor And the students psychology analysis program that can be run on the memory and on the processor is stored in, the students psychology analysis Program is arranged for carrying out the step of students psychology analysis method as any one of claim 1 to 8.
  10. 10. a kind of computer-readable recording medium, it is characterised in that student's heart is stored with the computer-readable recording medium Analysis program is managed, is realized when the students psychology analysis program is executed by processor as any one of claim 1 to 8 The step of students psychology analysis method.
CN201710612293.2A 2017-07-25 2017-07-25 A kind of students psychology analysis method, equipment and its storage medium Pending CN107423563A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710612293.2A CN107423563A (en) 2017-07-25 2017-07-25 A kind of students psychology analysis method, equipment and its storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710612293.2A CN107423563A (en) 2017-07-25 2017-07-25 A kind of students psychology analysis method, equipment and its storage medium

Publications (1)

Publication Number Publication Date
CN107423563A true CN107423563A (en) 2017-12-01

Family

ID=60430446

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710612293.2A Pending CN107423563A (en) 2017-07-25 2017-07-25 A kind of students psychology analysis method, equipment and its storage medium

Country Status (1)

Country Link
CN (1) CN107423563A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108875800A (en) * 2018-05-29 2018-11-23 重庆大学 A kind of behavioural characteristic extracting method based on RFID card
CN109961202A (en) * 2017-12-26 2019-07-02 杭州海康威视系统技术有限公司 A kind of information processing method and its device
CN111599472A (en) * 2020-05-14 2020-08-28 重庆大学 Method and device for recognizing psychological states of students and computer
CN114997739A (en) * 2022-07-18 2022-09-02 深圳市奇果物联科技有限公司 Electronic student identity card information management system and method based on Internet of things

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103905486A (en) * 2012-12-26 2014-07-02 中国科学院心理研究所 Mental health state evaluation method
CN104715129A (en) * 2013-12-13 2015-06-17 中国科学院心理研究所 Mental health state assessment system and method based on mobile equipment using behavior
CN104778642A (en) * 2015-03-20 2015-07-15 北京邮电大学 Data processing method, server and monitoring system for campus users based on WiFi
CN105405082A (en) * 2015-11-30 2016-03-16 河北工程大学 Large data student personality analysis method
CN105894119A (en) * 2016-04-05 2016-08-24 成都寻道科技有限公司 Student ranking prediction method based on campus data
CN106886922A (en) * 2017-03-01 2017-06-23 安徽大智睿科技技术有限公司 It is a kind of that students ' analysis method and system are paid close attention to based on all-purpose card consumption
CN106971062A (en) * 2017-03-09 2017-07-21 安徽创易心理科技有限公司 A kind of mental health services method and system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103905486A (en) * 2012-12-26 2014-07-02 中国科学院心理研究所 Mental health state evaluation method
CN104715129A (en) * 2013-12-13 2015-06-17 中国科学院心理研究所 Mental health state assessment system and method based on mobile equipment using behavior
CN104778642A (en) * 2015-03-20 2015-07-15 北京邮电大学 Data processing method, server and monitoring system for campus users based on WiFi
CN105405082A (en) * 2015-11-30 2016-03-16 河北工程大学 Large data student personality analysis method
CN105894119A (en) * 2016-04-05 2016-08-24 成都寻道科技有限公司 Student ranking prediction method based on campus data
CN106886922A (en) * 2017-03-01 2017-06-23 安徽大智睿科技技术有限公司 It is a kind of that students ' analysis method and system are paid close attention to based on all-purpose card consumption
CN106971062A (en) * 2017-03-09 2017-07-21 安徽创易心理科技有限公司 A kind of mental health services method and system

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
吴霞: "基于社交网络的高校学生群体关系特征挖掘与分析", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *
张佳: "数据挖掘技术在校园一卡通系统中的应用研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *
罗丹等: "大数据环境下智慧校园的设计与实现", 《计算机与现代化》 *
雷雳等: "青少年的人格特征与互联网社交服务使用偏好的关系", 《心理学报》 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109961202A (en) * 2017-12-26 2019-07-02 杭州海康威视系统技术有限公司 A kind of information processing method and its device
CN109961202B (en) * 2017-12-26 2022-03-01 杭州海康威视系统技术有限公司 Information processing method and device
CN108875800A (en) * 2018-05-29 2018-11-23 重庆大学 A kind of behavioural characteristic extracting method based on RFID card
CN111599472A (en) * 2020-05-14 2020-08-28 重庆大学 Method and device for recognizing psychological states of students and computer
CN111599472B (en) * 2020-05-14 2023-10-24 重庆大学 Method and device for identifying psychological state of student and computer
CN114997739A (en) * 2022-07-18 2022-09-02 深圳市奇果物联科技有限公司 Electronic student identity card information management system and method based on Internet of things
CN114997739B (en) * 2022-07-18 2022-10-28 深圳市奇果物联科技有限公司 Electronic student identity card information management system and method based on Internet of things

Similar Documents

Publication Publication Date Title
CN107423563A (en) A kind of students psychology analysis method, equipment and its storage medium
Helsper A corresponding fields model for the links between social and digital exclusion
Smith et al. Neural activity reveals preferences without choices
CN108717663B (en) Facial tag fraud judging method, device, equipment and medium based on micro expression
US8542916B2 (en) System and method for analysis of spatio-temporal data
Gilson et al. Model-based whole-brain effective connectivity to study distributed cognition in health and disease
KR20190091488A (en) Data processing method for predicting media content performance
Bell et al. When intuition misfires: A meta-analysis of research on performance-based funding in higher education
Dimovski et al. Performance effects of organizational learning in a transitional economy
WO2009011820A2 (en) System and method for determining relative preferences for marketing, financial, internet, and other commercial applications
Ziegler et al. What is the nature of faking? Modeling distinct response patterns and quantitative differences in faking at the same time
US20140047316A1 (en) Method and system to create a personal priority graph
DE102016200047A1 (en) Multimodal physical activity monitoring systems
Lang et al. Types of professionalization: Understanding contemporary organizational designs of Swiss national sport federations
US11468377B2 (en) System and method for creating a census hub in resource constrained regions
CN108416797A (en) A kind of method, equipment and the storage medium of detection Behavioral change
CN108847284A (en) The human-body biological age calculates apparatus and system
CN104679967A (en) Method for judging reliability of psychological test
Endo et al. A convolutional neural network for estimating synaptic connectivity from spike trains
Takmaz et al. Financial inclusion in Turkey: unpacking the provincial inequality and its determinants
Street et al. 2.7 Health system productivity and efficiency
Shahibi et al. The effect of smartphone that influence the compulsive usage among students
CN110309737A (en) A kind of information processing method applied to cigarette sales counter, apparatus and system
CN113469274A (en) Reading capability evaluation method, device and equipment
Bezerra de Oliveira et al. What determines patient loyalty in health services? An analysis to assist service quality management

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20171201

RJ01 Rejection of invention patent application after publication