CN109978310A - The analysis system of knowledge learning - Google Patents
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Abstract
The present invention provides a kind of analysis system of knowledge learning, comprising: obtains authentication module, whether the log-on message for obtaining and verifying user is qualified；Practice detection module, for when logon information qualification, judging whether user participates in knowledge practice for the first time, is practiced according to the corresponding knowledge of judgment result displays；Analysis module obtains corresponding knowledge hot spot for analyzing all practice results in the previous historical record of the user；Update module, the topic for being practiced using knowledge hot spot more new knowledge make the self-teaching of user's progress next time.By in the previous historical record of traverse user, detecting the knowledge hot spot of the corresponding user during user practices, knowledge hot spot is updated to the subsequent knowledge practice topic of user and is practiced, on the one hand, the efficiency that user's study can be improved, achievees the effect that leakage detection is filled a vacancy；On the other hand, inherently targetedly learn and understand convenient for user according to the type of each user knowledge hot spot in big data.
Description
Technical field
The present invention relates to knowledge learning technical fields, more particularly to a kind of analysis system of knowledge learning.
Background technique
In informationized society, people have more visitors or business than one can attend in face of the data information of magnanimity, needed for how learning, grasping oneself
The information wanted has become the focal issue for Information Technology Development and internet development.
To solve user's above problem, primarily now there is following two way: first, to solve how to obtain, learn oneself
Information required for oneself facilitates user search knowledge using knowledge classification；Second, to solve how to grasp oneself knowledge,
Practiced using knowledge, the methods of recommendation of relevant knowledge.The knowledge analysis of central issue of self-teaching refers to study, practice or explores
It is obtained understanding, judgement or technical ability further understand and grasp by way of self-teaching, collect user behavior, with point
It analyses algorithm and analyzes user behavior, obtain knowledge hot spot.
However, the parser of this self-teaching at present conveniently and efficiently allows user's working knowledge, but also only transport
It uses in practice knowledge, will not practice the behavior generated during knowledge by the parser of big data and generate knowledge
Hot spot can apply to other aspects of user, the problem for causing user's self-teaching inefficient.
Summary of the invention
In view of the foregoing deficiencies of prior art, the purpose of the present invention is to provide a kind of analysis systems of knowledge learning
System, for solving the problems, such as that user's self-teaching is inefficient in the prior art.
In order to achieve the above objects and other related objects, the application's in a first aspect, present invention provides a kind of knowledge learning
Analysis system, be applied to an electronic equipment, include one or more processors in the electronic equipment；Memory；And one
A or multiple programs, wherein one or more of programs be stored in the memory and be configured as by one or
Multiple processors execute instruction, one or more of processors execute described in execute instruction so that the electronic equipment execute with
Lower program, comprising:
Authentication module is obtained, whether the log-on message for obtaining and verifying user is qualified；
Practice detection module, for when logon information qualification, judging whether the user participates in knowledge practice, root for the first time
It is judged that corresponding knowledge practice as the result is shown；
Analysis module obtains corresponding knowledge hot spot for analyzing all practice results in the previous historical record of the user；
Update module, the topic for updating the knowledge practice using the knowledge hot spot carry out user next time
Self-teaching.
As described above, the analysis system of knowledge learning of the invention, has the advantages that
By in the previous historical record of traverse user, detecting the knowledge of the corresponding user during user practices
Knowledge hot spot is updated to the subsequent knowledge practice topic of user and is practiced, on the one hand, user's study can be improved by hot spot
Efficiency achievees the effect that leakage detection is filled a vacancy；On the other hand, according to the type of each user knowledge hot spot in big data, convenient for using
Family inherently targetedly learns and understands.
Detailed description of the invention
Fig. 1 is shown as the present invention and provides structural block diagram in a kind of analysis system of knowledge learning.
Specific embodiment
Presently filed embodiment is illustrated by particular specific embodiment below, those skilled in the art can be by this explanation
Content disclosed by book understands other advantages and effect of the application easily.
In described below, with reference to attached drawing, attached drawing describes several embodiments of the application.It should be appreciated that also can be used
Other embodiments, and can be carried out without departing substantially from spirit and scope of the present disclosure mechanical composition, structure, electrically with
And the operational detailed description changed below should not be considered limiting, and the range of embodiments herein
Only the limited of claims of the patent by announcing term used herein is merely to describe specific embodiment, and be not
It is intended to limit the application.The term of space correlation, for example, "upper", "lower", "left", "right", " following ", " lower section ", " lower part ",
" top ", " top " etc. can be used in the text in order to an elements or features and another element or spy shown in explanatory diagram
The relationship of sign.
Although term first, second etc. are used to describe various elements herein in some instances, these elements
It should not be limited by these terms.These terms are only used to distinguish an element with another element.For example, first is pre-
If threshold value can be referred to as the second preset threshold, and similarly, the second preset threshold can be referred to as the first preset threshold, and
The range of various described embodiments is not departed from.First preset threshold and preset threshold are to describe a threshold value, still
Unless context otherwise explicitly points out, otherwise they are not the same preset thresholds.Similar situation further includes first
Volume and the second volume.
Furthermore as used in herein, singular " one ", "one" and "the" are intended to also include plural number shape
Formula, unless having opposite instruction in context it will be further understood that term "comprising", " comprising " show that there are the spies
Sign, step, operation, element, component, project, type, and/or group, but it is not excluded for one or more other features, step, behaviour
Work, element, component, project, the presence of type, and/or group, appearance or addition term "or" used herein and "and/or" quilt
Be construed to inclusive, or mean any one or any combination therefore, " A, B or C " or " A, B and/or C " mean " with
Descend any one: A；B；C；A and B；A and C；B and C；A, B and C " is only when element, function, step or the combination of operation are in certain modes
Under it is inherently mutually exclusive when, just will appear the exception of this definition.
The application provides a kind of screen rotation control system, method and setting, suitable for electronic equipment, in actual reality
Apply in mode, the electronic equipment be, for example, include but is not limited to laptop, tablet computer, mobile phone, smart phone,
Media player, personal digital assistant (PDA), navigator, smart television, smartwatch, digital camera etc., further include wherein
Two or multinomial combinations.It should be appreciated that the application electronic equipment described in embodiment is an application example, it should
The component of equipment can have more or fewer components than diagram, or with different component Configurations.Draw each of diagram
Kind of component can realize with the combination of hardware, software or software and hardware, including one or more signal processings and/or dedicated integrated
Circuit.In a specific embodiment of the present application, it will be illustrated so that the electronic equipment is smart phone as an example.
The electronic equipment include memory, Memory Controller, one or more processing unit (CPU), Peripheral Interface,
RF circuit, voicefrequency circuit, loudspeaker, microphone, input/output (I/O) subsystem, touch screen, other outputs or control equipment,
And outside port.These components are communicated by one or more communication bus or signal wire.The electronic equipment also wraps
Include the power-supply system for powering for various assemblies.The power-supply system may include power-supply management system, one or more power supplys
(such as battery, alternating current (AC)), charging system, power failure detection circuit, power adapter or inverter, power supply status refer to
Show device (such as light emitting diode (LED)), and in portable device electric energy generate, manage and be distributed it is associated other
Any component.
The electronic equipment supports various application programs, such as one or more of the following terms: drawing application program,
Application program, word-processing application, website creation application program, disk editor application program, spreadsheet application journey is presented
Sequence, game application, telephony application, videoconference application, email application, instant message application journey
Sequence, body-building support application program, photo management application program, digital camera applications program, digital video camcorder application program,
Web page browsing application program, digital music player application and/or video frequency player application program.
Referring to Fig. 1, the present invention provides a kind of analysis system structural block diagram of knowledge learning, comprising: be applied to an electronics
Equipment, the interior electronic equipment includes one or more processors；Memory；And one or more programs, wherein described one
A or multiple programs are stored in the memory and are configured as being executed instruction by one or more of processors, described
One or more processors execute instruction described in executing so that the electronic equipment executes following procedure, comprising:
Authentication module 1 is obtained, whether the log-on message for obtaining and verifying user is qualified；
The acquisition authentication module includes:
Authentication unit 11 is obtained, for obtaining the user login information and whether verify the log-on message qualified；
Qualified unit 12 is verified, for when the log-on message of the user is identical as the user information prestored, then verifying
It is qualified；
Authentication failed unit 13, for when the log-on message of the user and the user information difference prestored, then verifying
Failure.
Wherein, user information is protected not usurped by stranger by verifying, otherwise, the knowledge heat recommended for user
Point is unable to reach the purpose of high-efficiency learning.
Practice detection module 2, for when logon information qualification, judging whether the user participates in knowledge practice for the first time,
According to the corresponding knowledge practice of judgment result displays；
Wherein, by judging whether user is that initial knowledge of participating in is practiced, user is treated with a certain discrimination, on the one hand, realize big
Accurate data alignment, guarantees that the knowledge hot spot of each user corresponds to each user, improves its utilization rate；On the other hand, if
User carries out knowledge practice for the first time, just carries out recommendation according to the knowledge hot spot in large database concept and shows.
Analysis module 3 obtains corresponding knowledge hot spot for analyzing all practice results in the previous historical record of the user；
It is constantly updated using knowledge hot spot, is constantly accumulated, the knowledge for updating corresponding user practices topic, to allow user's needle
Knowledge practice to property, makes user grasp more knowledge within the shorter time, improves the efficiency of knowledge learning.
Update module 4, the topic for updating the knowledge practice using the knowledge hot spot carry out user next time
Self-teaching.
It is constantly updated using knowledge hot spot, is constantly accumulated, the knowledge for updating corresponding user practices topic, to allow user's needle
Knowledge practice to property, makes user grasp more knowledge within the shorter time, improves the efficiency of knowledge learning.
In the present embodiment, by the previous historical record of traverse user, detecting correspondence during user practices
Knowledge hot spot is updated to the subsequent knowledge practice topic of user and is practiced, on the one hand, can be improved by the knowledge hot spot of the user
The efficiency of user's study, achievees the effect that leakage detection is filled a vacancy；On the other hand, according to each user knowledge hot spot in big data
Type inherently targetedly learns and understands convenient for user.
Referring to Fig. 1, to practice the structural block diagram of detection module 2 in a kind of analysis system of knowledge learning, comprising:
Detection unit 21, the account number for being logged according to the user detect whether user corresponding to the account number is just
Secondary participation knowledge practice；
Specifically, detection user whether for the first time participate in knowledge practice, can by the historical record corresponding to account, or
Person, the modes such as registion time of account are verified.
First topic generation unit 22, for knowledge being randomly generated and practices when the user being first participation knowledge practice
The topic of habit；
Specifically, due to not knowing that user currently grasps the level of knowledge, practice topic can only be generated at random and is practiced for user
It practises, difficulty, the knowledge point of knowledge topic etc. of practice is moderately adjusted further according to the practice conditions of user.
Second topic generation unit 23, for when the user be not it is first participate in knowledge practice when, in analytical database
Practice conditions obtain corresponding knowledge hot spot in the previous historical record of the user of storage.
Specifically, the previous historical record of user obtains the knowledge hot spot for being suitble to user in analytical database, due to difference
Levels of user sophistication or knowledge learning ability difference cause when practicing knowledge topic, it is different to, wrong topic affirmative,
Therefore, finally the knowledge hot spot of corresponding user is also different.
In the present embodiment, since each user is specifically corresponding with its knowledge hot spot needed to be grasped, it can
Knowledge is divided by type, user is facilitated to grasp and learn as soon as possible.
Referring to Fig. 1, for 3 structural block diagram of analysis module in a kind of analysis system of knowledge learning, comprising:
Acquiring unit 31, for obtaining the corresponding historical record of the user knowledge practice；
Specifically, backstage directly grabs historical record corresponding to the user.
Traversal Unit 32 detects the practice which item in the historical record is recorded as mistake for traversing the historical record
Topic；
Specifically, it is not operated if the corresponding practice topic of correct record.
Error detection units 33, for the malpractice topic to be put into the knowledge base for needing to practice next time,
And the malpractice topic is put into malpractice array；
Knowledge hot spot generation unit 34, for after the detection and judging phase occur in the malpractice array
Whether the practice number with mistake is more than preset threshold, if occurring the practice number of same error in the malpractice array
When more than preset threshold, then topic or knowledge point corresponding to the practice are put into knowledge hot spot；If the malpractice array
When the middle practice number for same error occur is less than preset threshold, then do not operate.
It in the present embodiment, is all the desired knowledge hot spot of user due to not being per wrong topic together, therefore, it is necessary to right
Knowledge hot spot is judged, during practice, prevents user because fault (reasons such as clerical mistake, dim eyesight, absent-minded) leads to topic
Practice mistake, setting preset threshold is screened in the malpractice array corresponding to the topic of mistake, improves knowledge hot spot
Accuracy rate.
In certain embodiments, the processor is also operatively coupled to the port I/O and input structure, the end I/O
Mouth aloows electronic equipment 20 to interact with various other electronic equipments, which aloows user and electricity
Sub- equipment 20 interacts.Therefore, input structure may include button, keyboard, mouse, Trackpad etc..In addition, electronic console can
Including touching component, the touch component by test object touch the generation of its screen (for example, surface of electronic console) with/
Or position promotes the user to input.
The processor is operationally coupled with memory and/or non-volatile memory device.More specifically, processor can
The instruction stored in memory and/or non-volatile memory device is executed to execute operation in calculating equipment, is such as generated
Image data and/or image data is transferred to electronic console.In this way, processor may include one or more general micro processs
Device, one or more application specific processor (ASIC), one or more Field Programmable Logic Array (FPGA) or theirs is any
Combination.
The memory may include high-speed random access memory, and may also include nonvolatile memory, such as one
A or multiple disk storage equipments, flash memory device or other non-volatile solid-state memory devices.In certain embodiments, memory
It can also include the memory far from one or more processors, such as via RF circuit or outside port and communication network
The network attached storage of (not shown) access, wherein the communication network can be internet, one or more intranets, office
Domain net (LAN), wide area network (WLAN), storage area network (SAN) etc. or its is appropriately combined.Memory Controller controllable device
Such as CPU and Peripheral Interface etc access of the other assemblies to memory.
In conclusion the present invention is by during user practices, in the previous historical record of traverse user, detect pair
Should user knowledge hot spot, knowledge hot spot is updated to user's subsequent knowledge practice topic and is practiced, on the one hand, can be mentioned
The high efficiency of user's study, achievees the effect that leakage detection is filled a vacancy；On the other hand, according to each user knowledge hot spot in big data
Type, convenient for user inherently targetedly learn and understand.So the present invention effectively overcomes in the prior art kind
It plants disadvantage and has high industrial utilization value.
The above-described embodiments merely illustrate the principles and effects of the present invention, and is not intended to limit the present invention.It is any ripe
The personage for knowing this technology all without departing from the spirit and scope of the present invention, carries out modifications and changes to above-described embodiment.Cause
This, institute is complete without departing from the spirit and technical ideas disclosed in the present invention by those of ordinary skill in the art such as
At all equivalent modifications or change, should be covered by the claims of the present invention.
Claims (5)
1. a kind of analysis system of knowledge learning, which is characterized in that be applied to an electronic equipment, include one in the electronic equipment
A or multiple processors；Memory；And one or more programs, wherein one or more of programs are stored in described deposit
It in reservoir and is configured as being executed instruction by one or more of processors, be held described in one or more of processors execution
Row instruction is so that the electronic equipment executes following procedure, comprising:
Authentication module is obtained, whether the log-on message for obtaining and verifying user is qualified；
Practice detection module, for when logon information qualification, judge whether the user participates in knowledge practice for the first time, according to sentencing
Disconnected knowledge practice corresponding as the result is shown；
Analysis module obtains corresponding knowledge hot spot for analyzing all practice results in the previous historical record of the user；
Update module, the topic for updating knowledge practice using the knowledge hot spot make user carry out next time self
Study.
2. the analysis system of knowledge learning according to claim 1, which is characterized in that the acquisition authentication module includes:
Authentication unit is obtained, for obtaining the user login information and whether verify the log-on message qualified；
Qualified unit is verified, for when the log-on message of the user is identical as the user information prestored, then verifying qualification；
Authentication failed unit, for when the log-on message of the user with prestore user information difference when, then authentication failed.
3. the analysis system of knowledge learning according to claim 1, which is characterized in that the practice detection module includes:
Detection unit, the account number for being logged according to the user detect whether user corresponding to the account number is to participate in for the first time
Knowledge practice；
First topic generation unit, for the topic of knowledge practice to be randomly generated when the user is first participation knowledge practice
Mesh；
Second topic generation unit, for being stored in analytical database when the user is not first participation knowledge practice
Practice conditions obtain corresponding knowledge hot spot in the previous historical record of user.
4. the analysis system of knowledge learning according to claim 1, which is characterized in that the analysis module includes:
Acquiring unit, for obtaining the corresponding historical record of the user knowledge practice；
Traversal Unit detects the practice topic which item in the historical record is recorded as mistake for traversing the historical record；
Error detection units, for the malpractice topic to be put into the knowledge base for needing to practice next time, and by institute
Malpractice topic is stated to be put into malpractice array；
Knowledge hot spot generation unit, for after the detection and judging same error occur in the malpractice array
Practice number whether be more than preset threshold, if the practice number for occurring same error in the malpractice array is more than pre-
If when threshold value, then topic or knowledge point corresponding to the practice are put into knowledge hot spot；If occurred in the malpractice array
When the practice number of same error is less than preset threshold, then do not operate.
5. the analysis system of knowledge learning according to claim 1, which is characterized in that the update module includes:
With the practice situation real-time update knowledge hot spot of user, knowledge hot spot corresponding to user is added to subsequent knowledge
The topic of user knowledge practice is converted in practice.
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Cited By (1)
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| CN112235333A (en) * | 2019-07-15 | 2021-01-15 | 北京字节跳动网络技术有限公司 | Function package management method, device, equipment and storage medium |
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Application publication date: 20190705 |