CN109636692A - A kind of generation method and electronic equipment of user's portrait - Google Patents

A kind of generation method and electronic equipment of user's portrait Download PDF

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Publication number
CN109636692A
CN109636692A CN201811547883.2A CN201811547883A CN109636692A CN 109636692 A CN109636692 A CN 109636692A CN 201811547883 A CN201811547883 A CN 201811547883A CN 109636692 A CN109636692 A CN 109636692A
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China
Prior art keywords
user
subject
topic
good
bad
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CN201811547883.2A
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Chinese (zh)
Inventor
韦肖莹
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Guangdong Genius Technology Co Ltd
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Guangdong Genius Technology Co Ltd
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Priority to CN201811547883.2A priority Critical patent/CN109636692A/en
Publication of CN109636692A publication Critical patent/CN109636692A/en
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    • 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

Abstract

The present invention relates to field of Educational Technology, the generation method and electronic equipment of a kind of user's portrait are disclosed, include: the matched test information of identity information of acquisition and user, tests in information comprising the correct topic and wrong topic in the corresponding test result of every test and every test;Every corresponding test result of test is analyzed, being good at subject and being bad at subject for user is obtained;Correct topic and wrong topic are analyzed, being good at topic type and being bad at topic type for user is obtained;According to being good at subject, being bad at subject, be good at topic type and be bad at topic type, user's portrait of user is generated.Implement the embodiment of the present invention, being good at subject, being bad at subject, be good at topic type and be bad at topic type for user can be obtained according to the previous test information of user, and generate user's portrait of user, so that electronic equipment can draw a portrait according to user understands the learning ability of user, the accuracy of analysis students' learning ability is improved.

Description

A kind of generation method and electronic equipment of user's portrait
Technical field
The present invention relates to field of Educational Technology, and in particular to a kind of generation method and electronic equipment of user's portrait.
Background technique
Currently, the content that student can need to learn by the study class of electronic devices output such as private tutor's machine, study plate, when When different students needs to learn identical content, electronic equipment usually exports identical content in an identical manner.However, not Same students' learning ability is usually not quite similar, if learning identical content in an identical manner, between different students Practising efficiency, there may be biggish differences.As it can be seen that current electronic equipment can not analyze the learning ability of student, thus The mode that output learning Content can not be adjusted according to the learning ability of student, causes the learning efficiency of student poor.
Summary of the invention
The embodiment of the present invention discloses the generation method and electronic equipment of a kind of user's portrait, is able to ascend analysis student's study The accuracy of ability.
First aspect of the embodiment of the present invention discloses a kind of generation method of user's portrait, which comprises
The matched test information of identity information with user is obtained, includes the corresponding survey of every test in the test information Try score and correct topic and wrong topic in every test;
The corresponding test result of every test is analyzed, being good at subject and being bad at section for the user is obtained Mesh;
The correct topic and the wrong topic are analyzed, being good at topic type and being bad at topic type for the user is obtained;
According to it is described be good at subject, it is described be bad at subject, it is described be good at topic type and it is described be bad at topic type, generate institute State user's portrait of user, the learning ability that the user draws a portrait for reflecting the user.
As an alternative embodiment, in first aspect of the embodiment of the present invention, it is described be good at according to subject, It is described be bad at subject, it is described be good at topic type and it is described be bad at topic type, generate the user user portrait after, it is described Method further include:
When the learning Content for detecting user's input generates instruction, obtains and wrapped in the learning Content generation instruction The learning Content mark contained;
Obtain target learning Content corresponding with learning Content mark;
It is drawn a portrait according to the user of the user and generates mode of learning corresponding with the target learning Content;
The target learning Content is exported by the mode of learning.
As an alternative embodiment, in first aspect of the embodiment of the present invention, the use according to the user Family portrait generates mode of learning corresponding with the target learning Content, comprising:
Identify the corresponding target subject of the target learning Content;
Judge whether the target subject is good at subject with any section for including in user portrait and is matched;
If so, being bad at topic type according to including in the target learning Content and user portrait generates institute State the corresponding mode of learning of target learning Content;
If not, being good at described in the generation of topic type according to including in the target learning Content and user portrait The corresponding mode of learning of target learning Content.
As an alternative embodiment, in first aspect of the embodiment of the present invention, analysis every test The corresponding test result obtains being good at for the user and subject and is bad at subject, comprising:
Obtain the corresponding subject information of every test;
The test result tested according to described every calculates the average mark of subject information described in every section, wherein one A corresponding average mark of the subject information;
Determine that the average mark was more than or equal to the user of preset fraction is good at subject from the subject information;
By in the subject information except it is described be good at subject in addition to subject be determined as the user be bad at subject.
As an alternative embodiment, in first aspect of the embodiment of the present invention, the analysis correct topic With the wrong topic, being good at topic type and being bad at topic type for the user is obtained, comprising:
Determine the test question type that the correct topic and the wrong topic include;
Count the first quantity of the corresponding correct topic of the test question type and the second number of the wrong topic Amount;
When detecting that first quantity is more than or equal to second quantity, it is determined as the test question type to be good at topic Type;
When detecting that first quantity is less than second quantity, the test question type is determined as being bad to inscribe Type.
Second aspect of the embodiment of the present invention discloses a kind of electronic equipment, comprising:
First acquisition unit, for obtain with the matched test information of the identity information of user, wrap in the test information Containing the correct topic and wrong topic in the corresponding test result of every test and every test;
First analytical unit obtains arrogating to oneself for the user for analyzing the corresponding test result of every test Long subject and it is bad at subject;
Second analytical unit, for analyzing the correct topic and the wrong topic, obtain the user is good at topic Type and it is bad at topic type;
First generation unit, for being good at subject according to, described being bad at subject, the topic type and described be good at It is bad at topic type, generates user's portrait of the user, the learning ability that the user draws a portrait for reflecting the user.
As an alternative embodiment, in second aspect of the embodiment of the present invention, the electronic equipment further include:
Second acquisition unit, for being good at subject according in first generation unit, described being bad at subject, institute State be good at topic type and it is described be bad at topic type, after the user's portrait for generating the user, and when detecting the user When the learning Content of input generates instruction, obtains the learning Content and generate the learning Content mark for including in instruction;
Third acquiring unit, for obtaining target learning Content corresponding with learning Content mark;
Second generation unit generates corresponding with the target learning Content for drawing a portrait according to the user of the user Habit mode;
Output unit, for exporting the target learning Content by the mode of learning.
As an alternative embodiment, in second aspect of the embodiment of the present invention, second generation unit includes:
Identify subelement, for identification the corresponding target subject of the target learning Content;
Judgment sub-unit, for judge the target subject whether with the user portrait in include any section be good at section Mesh matching;
First generates subelement, is to be learnt according to the target when being for the judging result in the judgment sub-unit The topic type that is bad at for including in content and user portrait generates the corresponding mode of learning of the target learning Content;
Second generate subelement, for the judging result in the judgment sub-unit be it is no when, according to the target learn The topic type of being good at for including in content and user portrait generates the corresponding mode of learning of the target learning Content.
As an alternative embodiment, in second aspect of the embodiment of the present invention, first analytical unit includes:
Subelement is obtained, for obtaining the corresponding subject information of every test;
Computation subunit, the test result for being tested according to described every calculate the flat of subject information described in every section Equal score, wherein the corresponding average mark of the subject information;
First determines subelement, for determining that the average mark is more than or equal to preset fraction from the subject information The user's is good at subject;
It is described first determine subelement, be also used to by the subject information except it is described be good at subject in addition to subject determine It is bad at subject for the user.
As an alternative embodiment, in second aspect of the embodiment of the present invention, second analytical unit includes:
Second determines subelement, the test question type for including for determining the correct topic and the wrong topic;
Subelement is counted, for counting the first quantity and the mistake of the corresponding correct topic of the test question type Accidentally the second quantity of topic;
Third determines subelement, will be described for when detecting that first quantity is more than or equal to second quantity Test question type is determined as being good at topic type;
4th determine subelement, for when detect first quantity be less than second quantity when, by the test Topic type is determined as being bad at topic type.
The third aspect of the embodiment of the present invention discloses another electronic equipment, comprising:
It is stored with the memory of executable program code;
The processor coupled with the memory;
The processor calls the executable program code stored in the memory, executes any of first aspect A kind of some or all of method step.
Fourth aspect of the embodiment of the present invention discloses a kind of computer readable storage medium, the computer readable storage medium Store program code, wherein said program code includes the part or complete for executing any one method of first aspect The instruction of portion's step.
The 5th aspect of the embodiment of the present invention discloses a kind of computer program product, when the computer program product is calculating When being run on machine, so that the computer executes some or all of any one method of first aspect step.
The aspect of the embodiment of the present invention the 6th disclose a kind of using distribution platform, and the application distribution platform is for publication calculating Machine program product, wherein when the computer program product is run on computers, so that the computer executes first party Some or all of any one method in face step.
Compared with prior art, the embodiment of the present invention has the advantages that
In the embodiment of the present invention, the matched test information of identity information with user is obtained, testing includes every in information Test corresponding test result and correct topic and wrong topic in every test;Analyze the corresponding test point of every test Number obtains being good at for user and subject and is bad at subject;Analyze correct topic and wrong topic, obtain user be good at topic type and It is bad at topic type;According to being good at subject, being bad at subject, be good at topic type and be bad at topic type, user's portrait of user is generated. As it can be seen that implementing the embodiment of the present invention, being good at subject, being bad at section for user can be obtained according to the previous test information of user Mesh is good at topic type and is bad at topic type, and generates user's portrait of user, so that electronic equipment can draw a portrait according to user The learning ability for solving user improves the accuracy of analysis students' learning ability.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to needed in the embodiment Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached Figure.
Fig. 1 is a kind of flow diagram of the generation method of user's portrait disclosed by the embodiments of the present invention;
Fig. 2 is the flow diagram of the generation method of another user's portrait disclosed by the embodiments of the present invention;
Fig. 3 is the flow diagram of the generation method of another user's portrait disclosed by the embodiments of the present invention;
Fig. 4 is the structural schematic diagram of a kind of electronic equipment disclosed by the embodiments of the present invention;
Fig. 5 is the structural schematic diagram of another electronic equipment disclosed by the embodiments of the present invention;
Fig. 6 is the structural schematic diagram of another electronic equipment disclosed by the embodiments of the present invention;
Fig. 7 is the structural schematic diagram of another electronic equipment disclosed by the embodiments of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that the described embodiment is only a part of the embodiment of the present invention, instead of all the embodiments.Based on this Embodiment in invention, every other reality obtained by those of ordinary skill in the art without making creative efforts Example is applied, shall fall within the protection scope of the present invention.
It should be noted that term " includes " and " having " and their any changes in the embodiment of the present invention and attached drawing Shape, it is intended that cover and non-exclusive include.Such as contain the process, method of a series of steps or units, system, product or Equipment is not limited to listed step or unit, but optionally further comprising the step of not listing or unit or optional Ground further includes the other step or units intrinsic for these process, methods, product or equipment.
The embodiment of the present invention discloses the generation method and electronic equipment of a kind of user portrait, survey that can be previous according to user Examination information obtains being good at subject, being bad at subject, be good at topic type and be bad at topic type for user, and the user for generating user draws Picture improves the standard of analysis students' learning ability so that electronic equipment can draw a portrait according to user understands the learning ability of user True property.It is described in detail separately below.
Embodiment one
Referring to Fig. 1, Fig. 1 is a kind of flow diagram of the generation method of user's portrait disclosed by the embodiments of the present invention. As shown in Figure 1, the generation method of user portrait may comprise steps of:
101, electronic equipment obtains the matched test information of identity information with user, tests in information comprising every test Corresponding test result and correct topic and wrong topic in every test.
In the embodiment of the present invention, electronic equipment can be private tutor's machine, study plate, smart phone etc., in this regard, the present invention is real Apply example without limitation.
In the embodiment of the present invention, the test information for all tests that the available user of electronic equipment participated in the past is used The test that family is participated in may include small test, monthly examination, midterm examination and final examination etc., in this regard, the embodiment of the present invention is not done It limits.
In the embodiment of the present invention, test information may include user every test in score and every test in include Examination question etc., can also include the topic that user do pair in every test and the topic to do wrong, further, it is also possible to comprising every The subject information of test and temporal information etc..
As an alternative embodiment, electronic equipment obtains the side with the matched test information of the identity information of user Formula may comprise steps of:
Electronic equipment obtains the account information of the user currently logged in;
Electronic equipment obtains the identity information of user from the account information;
Electronic equipment detects whether to be previously stored with test information corresponding to the identity information;
If not, the interface acquisition that electronic equipment passes through the Campus Website obtained in advance is corresponding with the identity information of user Test information.
Wherein, implement this embodiment, can determine user's by logging in the account information of the user of electronic equipment Identity information, and judge whether electronic equipment is stored with test information corresponding to the user according to the identity information of user, if It is not stored, it can be by the test information of the interface captures user of Campus Website, to guarantee that electronic equipment is available to user Test information.
102, electronic equipment analyzes every corresponding test result of test, obtains being good at subject and being bad at section for user Mesh.
In the embodiment of the present invention, since learning state exists and rises and falls student in different times, electronic equipment can be with According to user, previous test informix obtains the subject that user is good at and the subject being bad at, so that electronic equipment obtains Get be good at subject and to be bad at subject more accurate.
103, electronic equipment analyzes correct topic and wrong topic, obtains being good at topic type and being bad at topic type for user.
In the embodiment of the present invention, each topic can correspond to a kind of topic type, topic type may include multiple-choice question, True-False, Gap-filling questions, solution answer, composition etc., in this regard, the embodiment of the present invention is without limitation.Electronic equipment can with counting user correct number compared with More topic types is good at topic type and a fairly large number of topic type of counting user lookup error as user and is bad to inscribe as user's Type.
104, electronic equipment generates user's according to being good at subject, being bad at subject, be good at topic type and be bad at topic type User's portrait, the learning ability that user draws a portrait for reflecting user.
In the embodiment of the present invention, user draws a portrait (Persona) can be raw according to information related to user for electronic equipment At several labels related to user, and by several labels construct user virtual image, to obtain user User portrait.Electronic equipment in the present invention can generate the corresponding study of user according to test information related to user Class label, to be drawn a portrait according to the user that study class label generates the learning ability of reflection user.
As an alternative embodiment, electronic equipment is according to being good at subject, be bad at subject, be good at topic type and not It is good at topic type, the mode for generating user's portrait of user may comprise steps of:
Electronic equipment according to be good at subject, be bad at subject, be good at topic type and be bad at topic type generate it is corresponding with user Be good at subject label, be bad at subject label, be good at topic type label and be bad at topic type label, and be good in subject label Comprising being good at section's purpose title, being bad in subject label comprising being bad at section's purpose title, being good in topic type label comprising arrogating to oneself The mark of long topic type is bad to include the mark for being bad at topic type in topic type label;
Electronic equipment analyzes wrong topic, obtains error reason, and analyze correct topic, obtains the study class that user is good at Type;
Electronic equipment determines the learning type that user is bad at according to error reason;
Electronic equipment according to be good at subject label, be bad at subject label, be good at topic type label, be bad at topic type label, The learning type being good at and the learning type being bad at generate user's portrait of user.
Wherein, implement this embodiment, can be generated several label corresponding to the user, and according to correct topic and Mistake topic determines the learning type that user is good at and the learning type being bad at, and then generates user's portrait of user, so that User's portrait of generation includes the information of more detailed user's learning ability.
In the method depicted in fig. 1, electronic equipment can be made to be drawn a portrait according to user and understand the learning ability of user, promoted The accuracy of analysis students' learning ability.In addition, implementing method described in Fig. 1, it is ensured that electronic equipment is available To the test information of user.In addition, implementing method described in Fig. 1, the user generated portrait can be made comprising more detailed The information of user's learning ability.
Embodiment two
Referring to Fig. 2, Fig. 2 is the process signal of the generation method of another user's portrait disclosed by the embodiments of the present invention Figure.As shown in Fig. 2, the generation method of user portrait may comprise steps of:
Step 201~step 204 is identical as step 101~step 104, and the following contents is not repeating.
205, when the learning Content for detecting user's input generates instruction, electronic equipment obtains learning Content and generates instruction In include learning Content mark.
As an alternative embodiment, when the learning Content for detecting user's input generates instruction, electronic equipment The mode for obtaining the learning Content mark for including in learning Content generation instruction may include following steps:
When the learning Content for detecting user's input generates instruction, electronic equipment obtains to be wrapped in learning Content generation instruction The user's learning information contained, user's learning information include the previous study node of user and the previous study shape of user State;
The electronic equipment assessment previous learning state of user obtains estimating learning state;
Electronic equipment determines current learning Content amount according to learning state is estimated;
Primary study node is foundation before electronic equipment, determines learning Content mark corresponding with current learning Content amount Know.
Wherein, implement this embodiment, this learning state can be estimated according to the learning state of student's last time, So that it is determined that the inner capacities of this user study, so that the study of content and user that the user of electronic equipment output needs to learn State matching, avoid because learning Content is excessive or it is very few due to cause the learning efficiency of user poor.
206, electronic equipment obtains target learning Content corresponding with learning Content mark.
In the embodiment of the present invention, target learning Content this can need the learning Content of learning and mastering for user.Electronics Equipment can identify unique determining target learning Content by learning Content, so that electronic equipment obtains target learning Content more It is accurate to add.
207, electronic equipment draws a portrait according to the user of user and generates mode of learning corresponding with target learning Content.
In the embodiment of the present invention, mode of learning can draw a portrait according to the user of user and generate, such as electronic equipment from user Learn that user is good at memory in user's portrait, then the mode of learning that electronic equipment generates can be to recite memory as purport;Such as electricity Sub- equipment learns that user is good at from the user of user portrait and applies knowledge that the mode of learning that then electronic equipment generates can To practice as purport.
It is generated and target learning Content pair as an alternative embodiment, electronic equipment is drawn a portrait according to the user of user The mode for the mode of learning answered may include following steps:
Electronic equipment identifies the corresponding target subject of target learning Content;
Electronic equipment judges whether target subject is good at subject with any section for including in user's portrait and is matched;
If so, electronic equipment generates target according to the topic type that is bad at for including in target learning Content and user's portrait Practise the corresponding mode of learning of content;
If not, electronic equipment generates target study according to the topic type of being good at for including in target learning Content and user's portrait The corresponding mode of learning of content.
Wherein, implement this embodiment, can determine that user needs the content learnt whether to belong to user and is good at subject, If belonged to, learning Content can be exported with the topic type that user is bad at, so that user can reinforce the reason for learning Content Solution;If be not belonging to, learning Content can be exported with topic type that user is good at, to allow user in a manner of being relatively easy to pair Learnt in the content being bad at, improves the diversity of user's mode of learning.
208, electronic equipment exports target learning Content by mode of learning.
In the embodiment of the present invention, implement above-mentioned step 205~step 208, can be drawn a portrait and be determined according to the user of user The mode of learning that user is suitble to, so that the learning Content that user needs to learn is exported by the mode of learning, to improve student's Learning efficiency.
In the method depicted in fig. 2, electronic equipment can be made to be drawn a portrait according to user and understand the learning ability of user, promoted The accuracy of analysis students' learning ability.In addition, implement method described in Fig. 2, can to avoid because learning Content is excessive or It is very few and cause the learning efficiency of user poor.In addition, implementing method described in Fig. 2, the more of user's mode of learning are improved Sample.In addition, implementing method described in Fig. 2, the learning efficiency of student can be improved.
Embodiment three
Referring to Fig. 3, Fig. 3 is the process signal of the generation method of another user's portrait disclosed by the embodiments of the present invention Figure.As shown in figure 3, the generation method of user portrait may comprise steps of:
301, electronic equipment obtains the matched test information of identity information with user, tests in information comprising every test Corresponding test result and correct topic and wrong topic in every test.
302, electronic equipment obtains the corresponding subject information of every test.
In the embodiment of the present invention, since test is usually what branch mesh carried out, every test can determine subject Information, and also may include a variety of scarabaeidae mesh in subject information.Such as when testing corresponding subject information is to manage comprehensive test, subject It may include physics subject, chemical subject and biological subject in information.
303, the test result that electronic equipment is tested according to every calculates the average mark of every section's subject information, wherein one The corresponding average mark of a subject information.
In the embodiment of the present invention, the available a certain all test information of section's purpose of electronic equipment determine a certain subject pair The test quantity answered, and the score that every is tested is added, and obtains gross score, electronic equipment can also be with gross score divided by test Quantity, to obtain section's purpose average mark, wherein a certain all test information of section's purpose may include all participation sections The test information for estimating all users of examination, so that section's purpose average mark that electronic equipment is calculated is more accurate.
304, electronic equipment determines that average mark is more than or equal to the user of preset fraction and is good at subject from the subject information.
305, electronic equipment is bad at subject for what the subject in subject information in addition to being good at subject was determined as user.
In the embodiment of the present invention, implement above-mentioned step 302~step 305, the survey of available previous all users Information is tried, and each section's purpose average mark is calculated according to previous test information, is used to be determined according to average mark The subject that family is good at and is bad at, so that being good at subject and being bad at subject for the user determined is more in line with actual conditions.
306, electronic equipment determines the test question type that correct topic and wrong topic include.
307, the second number of the first quantity of the corresponding correct topic of electronic equipment statistical test topic type and wrong topic Amount.
308, when detecting that the first quantity is more than or equal to the second quantity, test question type is determined as being good at topic by electronic equipment Type.
309, when detecting that the first quantity is greater than the second quantity, test question type is determined as being bad to inscribe by electronic equipment Type.
In the embodiment of the present invention, implement above-mentioned step 306~step 309, it is corresponding correct that every kind of topic type can be counted Topic quantity and wrong topic quantity, and determine that user's is good at topic according to the relationship of correct topic quantity and wrong topic quantity Type and be bad at topic type so that the user determined be good at topic type and to be bad at topic type more accurate.
310, electronic equipment generates user's according to being good at subject, being bad at subject, be good at topic type and be bad at topic type User's portrait, the learning ability that user draws a portrait for reflecting user.
In the method depicted in fig. 3, electronic equipment can be made to be drawn a portrait according to user and understand the learning ability of user, promoted The accuracy of analysis students' learning ability.In addition, method described in implementing Fig. 3, can make determining user's to be good at section Mesh and it is bad at subject and is more in line with actual conditions.In addition, method described in implementing Fig. 3, can make determining user's It is good at topic type and to be bad at topic type more accurate.
Example IV
Referring to Fig. 4, Fig. 4 is the structural schematic diagram of a kind of electronic equipment disclosed by the embodiments of the present invention.As shown in figure 4, The electronic equipment may include:
First acquisition unit 401, for obtain with the matched test information of the identity information of user, wrap in the test information Containing the correct topic and wrong topic in the corresponding test result of every test and every test.
As an alternative embodiment, first acquisition unit 401 obtains the matched test of identity information with user The mode of information is specifically as follows:
Obtain the account information of the user currently logged in;
The identity information of user is obtained from the account information;
It detects whether to be previously stored with test information corresponding to the identity information;
If not, obtaining test letter corresponding with the identity information of user by the interface of the Campus Website obtained in advance Breath.
Wherein, implement this embodiment, can determine user's by logging in the account information of the user of electronic equipment Identity information, and judge whether electronic equipment is stored with test information corresponding to the user according to the identity information of user, if It is not stored, it can be by the test information of the interface captures user of Campus Website, to guarantee that electronic equipment is available to user Test information.
First analytical unit 402, for analyzing the corresponding test result of every test of the acquisition of first acquisition unit 401, It obtains being good at for user and subject and is bad at subject.
Second analytical unit 403 is obtained for analyzing the correct topic and wrong topic of the acquisition of first acquisition unit 401 Being good at for user and is bad at topic type at topic type.
First generation unit 404 is good at subject, is bad at subject, second for what is obtained according to the first analytical unit 402 What analytical unit 403 obtained is good at topic type and is bad at topic type, generates user's portrait of user, which draws a portrait for reflecting The learning ability of user.
As an alternative embodiment, the first generation unit 404 is according to being good at subject, be bad at subject, be good at topic Type and it is bad at topic type, the mode for generating user's portrait of user is specifically as follows:
According to being good at subject, be bad at subject, be good at topic type and be bad at topic type to generate corresponding to the user to be good at section Target label are bad at subject label, are good at topic type label and are bad at topic type label, and are good in subject label comprising being good at Section's purpose title is bad in subject label comprising being bad at section's purpose title, being good in topic type label comprising being good at topic type Identifying, being bad at includes the mark for being bad at topic type in topic type label;
Wrong topic is analyzed, error reason is obtained, and analyze correct topic, obtains the learning type that user is good at;
The learning type that user is bad at is determined according to error reason;
According to be good at subject label, be bad at subject label, be good at topic type label, be bad at topic type label, be good at The learning type practising type and being bad at generates user's portrait of user.
Wherein, implement this embodiment, can be generated several label corresponding to the user, and according to correct topic and Mistake topic determines the learning type that user is good at and the learning type being bad at, and then generates user's portrait of user, so that User's portrait of generation includes the information of more detailed user's learning ability.
As it can be seen that implementing electronic equipment described in Fig. 4, electronic equipment can be made to be drawn a portrait according to user and understand the study of user Ability improves the accuracy of analysis students' learning ability.In addition, implementing electronic equipment described in Fig. 4, it is ensured that electronics The available test information to user of equipment.In addition, implementing electronic equipment described in Fig. 4, the user generated can be made to draw As the information comprising more detailed user's learning ability.
Embodiment five
Referring to Fig. 5, Fig. 5 is the structural schematic diagram of another electronic equipment disclosed by the embodiments of the present invention.Wherein, Fig. 5 Shown in electronic equipment be that electronic equipment as shown in Figure 4 optimizes.Compared with electronic equipment shown in Fig. 4, Fig. 5 Shown in electronic equipment can also include:
Second acquisition unit 405, in the first generation unit 404 according to being good at subject, be bad at subject, be good at topic type And it is bad at topic type, after the user's portrait for generating user, and when the learning Content for detecting user's input generates instruction When, it obtains learning Content and generates the learning Content mark for including in instruction.
As an alternative embodiment, second acquisition unit 405 is generated when the learning Content for detecting user's input When instruction, the mode for obtaining the learning Content mark for including in learning Content generation instruction is specifically as follows:
When the learning Content for detecting user's input generates instruction, obtains learning Content and generate the user for including in instruction Learning information, user's learning information include the previous study node of user and the previous learning state of user;
The assessment previous learning state of user obtains estimating learning state;
Current learning Content amount is determined according to learning state is estimated;
Once study node was foundation in the past, determined learning Content mark corresponding with current learning Content amount.
Wherein, implement this embodiment, this learning state can be estimated according to the learning state of student's last time, So that it is determined that the inner capacities of this user study, so that the study of content and user that the user of electronic equipment output needs to learn State matching, avoid because learning Content is excessive or it is very few due to cause the learning efficiency of user poor.
Third acquiring unit 406, for obtaining target corresponding with the learning Content mark of the acquisition of second acquisition unit 405 Learning Content.
Second generation unit 407, the user for generating user according to the first generation unit 404 draws a portrait to generate to be obtained with third The corresponding mode of learning of target learning Content for taking unit 406 to obtain.
Output unit 408, the mode of learning for being generated by the second generation unit 407 export third acquiring unit 406 The target learning Content of acquisition.
In the embodiment of the present invention, can draw a portrait the mode of learning for determining that user is suitble to according to the user of user, to pass through The learning Content that mode of learning output user needs to learn, to improve the learning efficiency of student.
As an alternative embodiment, the second generation unit of electronic equipment 407 shown in fig. 5 may include:
Identify subelement 4071, the corresponding target family of target learning Content that third acquiring unit 406 obtains for identification Mesh;
Judgment sub-unit 4072, for judging identify whether the target subject that subelement 4071 identifies is single with the first generation Subject matching is good at by any section for including in user's portrait that member 404 generates;
First generates subelement 4073, is when being, to be learnt according to target for the judging result in judgment sub-unit 4072 The topic type that is bad at for including in content and user's portrait generates the corresponding mode of learning of target learning Content;
Second generate subelement 4074, for the judging result in judgment sub-unit 4072 be it is no when, learnt according to target The topic type of being good at for including in content and user's portrait generates the corresponding mode of learning of target learning Content.
Wherein, implement this embodiment, can determine that user needs the content learnt whether to belong to user and is good at subject, If belonged to, learning Content can be exported with the topic type that user is bad at, so that user can reinforce the reason for learning Content Solution;If be not belonging to, learning Content can be exported with topic type that user is good at, to allow user in a manner of being relatively easy to pair Learnt in the content being bad at, improves the diversity of user's mode of learning.
As it can be seen that implementing electronic equipment described in Fig. 5, electronic equipment can be made to be drawn a portrait according to user and understand the study of user Ability improves the accuracy of analysis students' learning ability.In addition, implement electronic equipment described in Fig. 5, it can be to avoid because learning Habit content is excessive or very few and causes the learning efficiency of user poor.In addition, implementing electronic equipment described in Fig. 5, Ke Yiti The learning efficiency of high student.In addition, implementing electronic equipment described in Fig. 5, the diversity of user's mode of learning is improved.
Embodiment six
Referring to Fig. 6, Fig. 6 is the structural schematic diagram of another electronic equipment disclosed by the embodiments of the present invention.Wherein, Fig. 6 Shown in electronic equipment be that electronic equipment as shown in Figure 5 optimizes.Compared with electronic equipment shown in fig. 5, Fig. 6 Shown in the first analytical unit 402 of electronic equipment may include:
Subelement 4021 is obtained, for obtaining the corresponding subject information of every test.
Computation subunit 4022, the test result for being tested according to every, which calculates, obtains every section that subelement 4021 obtains The average mark of subject information, wherein the corresponding average mark of a subject information.
First determines subelement 4023, for determining computation subunit from the subject information for obtaining the acquisition of subelement 4021 The user that 4022 average marks calculated are more than or equal to preset fraction is good at subject.
First determine subelement 4023, be also used to will acquire subelement 4021 acquisition subject information in except be good at subject it What outer subject was determined as user is bad at subject.
In the embodiment of the present invention, the test information of available previous all users, and according to previous test information Each section's purpose average mark is calculated, so that the subject that user is good at and is bad at is determined according to average mark, so that really Being good at subject and being bad at subject for fixed user is more in line with actual conditions.
As an alternative embodiment, the second analytical unit 403 of electronic equipment shown in fig. 6 may include:
Second determines subelement 4031, the test question type for including for determining correct topic and wrong topic;
Subelement 4032 is counted, determines the determining corresponding correct topic of test question type of subelement 4031 for counting second The first quantity and wrong topic the second quantity;
Third determines subelement 4033, for being more than or equal to the when the first quantity that detect that statistics subelement 4032 counts When two quantity, it is determined as the test question type that second determines that subelement 4031 determines to be good at topic type;
4th determines subelement 4034, for counting when the first quantity for detecting that statistics subelement 4032 counts less than second When amount, it is determined as the test question type that second determines that subelement 4031 determines to be bad at topic type.
Wherein, implement this embodiment, the corresponding correct topic quantity of every kind of topic type and wrong topic number can be counted Amount, and being good at topic type and being bad at topic type for user is determined according to the relationship of correct topic quantity and wrong topic quantity, thus So that the user determined be good at topic type and to be bad at topic type more accurate.
As it can be seen that implementing electronic equipment described in Fig. 6, electronic equipment can be made to be drawn a portrait according to user and understand the study of user Ability improves the accuracy of analysis students' learning ability.In addition, implementing electronic equipment described in Fig. 6, determination can be made Being good at subject and being bad at subject for user is more in line with actual conditions.In addition, implement electronic equipment described in Fig. 6, it can be with So that the user determined be good at topic type and to be bad at topic type more accurate.
Embodiment seven
Referring to Fig. 7, Fig. 7 is the structural schematic diagram of another electronic equipment disclosed by the embodiments of the present invention.Such as Fig. 7 institute Show, which may include:
It is stored with the memory 701 of executable program code;
The processor 702 coupled with memory 701;
Wherein, processor 702 calls the executable program code stored in memory 701, executes the above each method and implements Some or all of method in example step.
A kind of computer readable storage medium is also disclosed in the embodiment of the present invention, wherein computer-readable recording medium storage Program code, wherein program code includes for executing some or all of the method in above each method embodiment step Instruction.
A kind of computer program product is also disclosed in the embodiment of the present invention, wherein when computer program product on computers When operation, so that computer executes some or all of the method in such as above each method embodiment step.
The embodiment of the present invention is also disclosed a kind of using distribution platform, wherein using distribution platform for issuing computer journey Sequence product, wherein when computer program product is run on computers, so that computer executes such as the above each method embodiment In some or all of method step.
It should be understood that " embodiment of the present invention " that specification is mentioned in the whole text mean special characteristic related with embodiment, Structure or characteristic is included at least one embodiment of the present invention.Therefore, the whole instruction occur everywhere " in the present invention In embodiment " not necessarily refer to identical embodiment.In addition, these a particular feature, structure, or characteristics can be with any suitable Mode combines in one or more embodiments.Those skilled in the art should also know that embodiment described in this description Alternative embodiment is belonged to, related actions and modules are not necessarily necessary for the present invention.
In various embodiments of the present invention, it should be appreciated that magnitude of the sequence numbers of the above procedures are not meant to execute suitable Successively, the execution sequence of each process should be determined by its function and internal logic the certainty of sequence, without coping with the embodiment of the present invention Implementation process constitutes any restriction.
In addition, the terms " system " and " network " are often used interchangeably herein.It should be understood that the terms "and/or", only a kind of incidence relation for describing affiliated partner, indicates may exist three kinds of relationships, such as A and/or B, can To indicate: individualism A exists simultaneously A and B, these three situations of individualism B.In addition, character "/" herein, typicallys represent Forward-backward correlation object is a kind of relationship of "or".
In embodiment provided by the present invention, it should be appreciated that " B corresponding with A " indicates that B is associated with A, can be with according to A Determine B.It is also to be understood that determine that B is not meant to determine B only according to A according to A, it can also be according to A and/or other information Determine B.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can It is completed with instructing relevant hardware by program, which can be stored in a computer readable storage medium, storage Medium include read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), programmable read only memory (Programmable Read-only Memory, PROM), erasable programmable is read-only deposits Reservoir (Erasable Programmable Read Only Memory, EPROM), disposable programmable read-only memory (One- Time Programmable Read-Only Memory, OTPROM), the electronics formula of erasing can make carbon copies read-only memory (Electrically-Erasable Programmable Read-Only Memory, EEPROM), CD-ROM (Compact Disc Read-Only Memory, CD-ROM) or other disc memories, magnetic disk storage, magnetic tape storage or can For carrying or any other computer-readable medium of storing data.
Above-mentioned unit as illustrated by the separation member may or may not be physically separated, aobvious as unit The component shown may or may not be physical unit, can be in one place, or may be distributed over multiple nets On network unit.Some or all of units can be selected to achieve the purpose of the solution of this embodiment according to the actual needs.
In addition, each functional unit in various embodiments of the present invention can integrate in one processing unit, it is also possible to Each unit physically exists alone, and can also be integrated in one unit with two or more units.Above-mentioned integrated unit Both it can take the form of hardware realization, can also realize in the form of software functional units.
If above-mentioned integrated unit is realized in the form of SFU software functional unit and when sold or used as an independent product, It can store in a retrievable memory of computer.Based on this understanding, technical solution of the present invention substantially or Person says all or part of of the part that contributes to existing technology or the technical solution, can be in the form of software products It embodies, which is stored in a memory, including several requests are with so that a computer is set Standby (can be personal computer, server or network equipment etc., specifically can be the processor in computer equipment) executes Some or all of each embodiment above method of the invention step.
Detailed Jie has been carried out to the generation method and electronic equipment of a kind of user portrait disclosed by the embodiments of the present invention above It continues, used herein a specific example illustrates the principle and implementation of the invention, and the explanation of above embodiments is only It is to be used to help understand method and its core concept of the invention;At the same time, for those skilled in the art, according to this hair Bright thought, there will be changes in the specific implementation manner and application range, in conclusion the content of the present specification should not manage Solution is limitation of the present invention.

Claims (10)

1. a kind of generation method of user's portrait, which is characterized in that the described method includes:
The matched test information of identity information with user is obtained, includes the corresponding test point of every test in the test information Correct topic and wrong topic in several and described every test;
The corresponding test result of every test is analyzed, being good at subject and being bad at subject for the user is obtained;
The correct topic and the wrong topic are analyzed, being good at topic type and being bad at topic type for the user is obtained;
According to it is described be good at subject, it is described be bad at subject, it is described be good at topic type and it is described be bad at topic type, generate the use The user at family draws a portrait, the learning ability that the user draws a portrait for reflecting the user.
2. the method according to claim 1, wherein it is described be good at according to subject, it is described be bad at subject, It is described be good at topic type and it is described be bad at topic type, generate the user user portrait after, the method also includes:
When the learning Content for detecting user input generates instruction, obtains the learning Content and generate in instruction and include Learning Content mark;
Obtain target learning Content corresponding with learning Content mark;
It is drawn a portrait according to the user of the user and generates mode of learning corresponding with the target learning Content;
The target learning Content is exported by the mode of learning.
3. according to the method described in claim 2, it is characterized in that, it is described according to the user of the user draw a portrait generate with it is described The corresponding mode of learning of target learning Content, comprising:
Identify the corresponding target subject of the target learning Content;
Judge whether the target subject is good at subject with any section for including in user portrait and is matched;
If so, being bad at topic type according to including in the target learning Content and user portrait generates the mesh Mark the corresponding mode of learning of learning Content;
If not, being good at topic type according to including in the target learning Content and user portrait generates the target The corresponding mode of learning of learning Content.
4. described in any item methods according to claim 1~3, which is characterized in that analysis every test is corresponding The test result obtains being good at for the user and subject and is bad at subject, comprising:
Obtain the corresponding subject information of every test;
The test result tested according to described every calculates the average mark of subject information described in every section, wherein an institute State the corresponding average mark of subject information;
Determine that the average mark was more than or equal to the user of preset fraction is good at subject from the subject information;
By in the subject information except it is described be good at subject in addition to subject be determined as the user be bad at subject.
5. method according to any one of claims 1 to 4, which is characterized in that the analysis correct topic and described Mistake topic obtains being good at for the user and topic type and is bad at topic type, comprising:
Determine the test question type that the correct topic and the wrong topic include;
Count the first quantity of the corresponding correct topic of the test question type and the second quantity of the wrong topic;
When detecting that first quantity is more than or equal to second quantity, it is determined as the test question type to be good at topic type;
When detecting that first quantity is less than second quantity, it is determined as the test question type to be bad at topic type.
6. a kind of electronic equipment characterized by comprising
First acquisition unit, for obtain with the matched test information of the identity information of user, comprising often in the test information Corresponding test result and correct topic and wrong topic in every test are tested in field;
First analytical unit, for analyzing the corresponding test result of every test, obtain the user is good at section Mesh and it is bad at subject;
Second analytical unit, for analyzing the correct topic and the wrong topic, obtain the user be good at topic type and It is bad at topic type;
First generation unit, for being good at subject according to, described being bad at subject, described be good at topic type and described do not arrogate to oneself Long topic type generates user's portrait of the user, the learning ability that the user draws a portrait for reflecting the user.
7. electronic equipment according to claim 6, which is characterized in that the electronic equipment further include:
Second acquisition unit, for being good at subject according in first generation unit, described being bad at subject, described arrogate to oneself Long topic type and it is described be bad at topic type, after the user's portrait for generating the user, and when detecting user input Learning Content when generating instruction, obtain the learning Content and generate the learning Content mark for including in instruction;
Third acquiring unit, for obtaining target learning Content corresponding with learning Content mark;
Second generation unit generates study side corresponding with the target learning Content for drawing a portrait according to the user of the user Formula;
Output unit, for exporting the target learning Content by the mode of learning.
8. electronic equipment according to claim 7, which is characterized in that second generation unit includes:
Identify subelement, for identification the corresponding target subject of the target learning Content;
Judgment sub-unit, for judge the target subject whether with the user portrait in include any section be good at subject Match;
First generates subelement, is when being, according to the target learning Content for the judging result in the judgment sub-unit It is bad at topic type described in including in user portrait and generates the corresponding mode of learning of the target learning Content;
Second generate subelement, for the judging result in the judgment sub-unit be it is no when, according to the target learning Content It is good at topic type described in including in user portrait and generates the corresponding mode of learning of the target learning Content.
9. according to the described in any item electronic equipments of claim 6~8, which is characterized in that first analytical unit includes:
Subelement is obtained, for obtaining the corresponding subject information of every test;
Computation subunit, the test result for being tested according to described every calculate the average mark of subject information described in every section Number, wherein the corresponding average mark of the subject information;
First determines subelement, for determining that the average mark is more than or equal to described in preset fraction from the subject information User's is good at subject;
It is described first determine subelement, be also used to by the subject information except it is described be good at subject in addition to subject be determined as institute That states user is bad at subject.
10. according to the described in any item electronic equipments of claim 6~9, which is characterized in that second analytical unit includes:
Second determines subelement, the test question type for including for determining the correct topic and the wrong topic;
Subelement is counted, for counting the first quantity and the mistake topic of the corresponding correct topic of the test question type The second quantity of purpose;
Third determines subelement, for when detect first quantity be more than or equal to second quantity when, by the test Topic type is determined as being good at topic type;
4th determine subelement, for when detect first quantity be less than second quantity when, by the test question type It is determined as being bad at topic type.
CN201811547883.2A 2018-12-17 2018-12-17 A kind of generation method and electronic equipment of user's portrait Pending CN109636692A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111046263A (en) * 2019-11-22 2020-04-21 广东机电职业技术学院 Student learning interest portrait generation system, method and device and storage medium
CN111639166A (en) * 2020-05-11 2020-09-08 广东小天才科技有限公司 Mathematical oral calculation formula result error factor analysis method, device, equipment and storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101105853A (en) * 2007-08-16 2008-01-16 上海交通大学 Personalized teaching-guiding system based on non-zero jumping-off point in network teaching
CN103679397A (en) * 2013-12-31 2014-03-26 苏州市职业大学 Learning content recommendation method based on smart mobile phone
CN104299473A (en) * 2013-07-20 2015-01-21 郑州学生宝电子科技有限公司 Teaching and student learning error question knowledge base
CN108091193A (en) * 2017-12-21 2018-05-29 华中科技大学 A kind of cell phone intelligent teaching and management platform
CN108806341A (en) * 2018-03-29 2018-11-13 上海乂学教育科技有限公司 A kind of optimal individualized learning paths planning method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101105853A (en) * 2007-08-16 2008-01-16 上海交通大学 Personalized teaching-guiding system based on non-zero jumping-off point in network teaching
CN104299473A (en) * 2013-07-20 2015-01-21 郑州学生宝电子科技有限公司 Teaching and student learning error question knowledge base
CN103679397A (en) * 2013-12-31 2014-03-26 苏州市职业大学 Learning content recommendation method based on smart mobile phone
CN108091193A (en) * 2017-12-21 2018-05-29 华中科技大学 A kind of cell phone intelligent teaching and management platform
CN108806341A (en) * 2018-03-29 2018-11-13 上海乂学教育科技有限公司 A kind of optimal individualized learning paths planning method

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111046263A (en) * 2019-11-22 2020-04-21 广东机电职业技术学院 Student learning interest portrait generation system, method and device and storage medium
CN111639166A (en) * 2020-05-11 2020-09-08 广东小天才科技有限公司 Mathematical oral calculation formula result error factor analysis method, device, equipment and storage medium
CN111639166B (en) * 2020-05-11 2024-01-23 广东小天才科技有限公司 Method, device, equipment and storage medium for analyzing error factor of mathematical operation calculation result

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Application publication date: 20190416