CN109712455A - Intelligence learning measure of supervision, storage medium, control device and learning machine - Google Patents
Intelligence learning measure of supervision, storage medium, control device and learning machine Download PDFInfo
- Publication number
- CN109712455A CN109712455A CN201811395062.1A CN201811395062A CN109712455A CN 109712455 A CN109712455 A CN 109712455A CN 201811395062 A CN201811395062 A CN 201811395062A CN 109712455 A CN109712455 A CN 109712455A
- Authority
- CN
- China
- Prior art keywords
- information
- current
- study
- account
- test question
- 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
Links
Abstract
The invention discloses a kind of intelligence learning measure of supervision, storage medium, control device and learning machine, solve the problems, such as can not supervised learning person study situation, its key points of the technical solution are that, obtain the current study feedback information of active user;According to current study feedback information to feed back the current study test question information;Obtain current script information corresponding with current study test question information;From the corresponding relationship between pre-set, study test question information and preset script information, current preset script information corresponding with the current study test question information is searched;It is mutually compared according to current script information and current preset script information to form current erroneous rate information and feed back to administrator's account of active user's corresponding account, the case where present invention can learn learner exercises supervision and gives error rate feedback to administrator's account, convenient for understanding monitoring.
Description
Technical field
The present invention relates to learning platforms, in particular to intelligence learning measure of supervision, storage medium, control device and study
Machine.
Background technique
Learning machine is a kind of portable learning relatively more universal in the student group of CONTINENTAL AREA OF CHINA.Early stage
Habit machine is connected with television set, is exported and is shown using video screen, does not have portability.Various sizes are gradually turned to later
E-dictionaries smaller, with separate display screens provide the functions such as personal information management, game, Sino-British dictionary, Sino-British intertranslation, but
All programs are all to solidify on a memory, thus storage capacity is limited, and function does not have extendibility.With the hair of technology
Exhibition, this portable equipment further enhance learning functionality in new development, support different study forms and diversified subject.
It is powerful, some have open operating system, support capacity extensions, the functions such as player.
Learn also constantly reinforcing in airborne communication capacity, from it is original can not communicate, can not more new data develop to it is logical
It crosses data line and copies resource from computer, then automatically update data to using wireless communication.Also occur being equipped with unicast in the market
The electronic dictionary of section (ONESEG) television receiving function.Learner not only can directly learn in the study carried on learning machine
Hold, consult word etc. using dictionary above;Can also be connected by data line with PC machine, downloaded from website by PC machine in
Hold, then carry out off-line learning, after study, learning machine can also be connected with PC again, upload learning records, submits study
The difficulty encountered in the process can see reply of the teacher to problem in even machine next time;There are also nehology habits, can practise in nehology
Search downloading education resource under platform, students, which can synchronize, downloads to mainstream teaching material in all parts of the country from small whole for acquiring senior middle school
Section's knowledge.
Although current learning machine can provide many education resources, more dependent on learner's in learning process
Consciousness can perform a task perfunctorily to the content on learning machine if the consciousness of learner is lower, existing learning machine and correspondence
System platform can not the study situation to learner be monitored, cause parent although to spend biggish cost purchase study money
Source, but can not learn the study condition and progress of learner;So having certain room for improvement.
Summary of the invention
The first object of the present invention is to provide a kind of intelligence learning measure of supervision, can study situation to learner carry out
It supervises and is fed back, understood convenient for overseer.
Above-mentioned technical purpose of the invention has the technical scheme that
A kind of intelligence learning measure of supervision, comprising:
Obtain the current study feedback information of active user;
In corresponding relationship between pre-set, study feedback information and study test question information, search and current
Practise the corresponding current study test question information of feedback information;
According to current study feedback information to feed back the current study test question information;
Obtain current script information corresponding with current study test question information;
From the corresponding relationship between pre-set, study test question information and preset script information, lookup is worked as with described
The corresponding current preset script information of preceding study test question information;
It is mutually compared according to current script information and current preset script information to form current erroneous rate information
And feed back to administrator's account of active user's corresponding account.
Using the above scheme, it carries out matching corresponding examination question according to current study feedback information, so that learner surveys
Examination, and feed back to administrator's account corresponding to overseer according to the error rate that test examination question is answered, it can effectively protect
Card overseer can understand the study situation of learner in time, avoid passing through the situation that the equipment such as learning machine are learnt and do not appoint
What feedback and cause overseer to have no way of learning the study condition of study.
Preferably, the study feedback information includes actively testing information and Passive Test information;The study examination
Topic information includes practicing test question information and being mutually related survey with Passive Test information with actively testing information and be mutually related
Try test question information.
Using the above scheme, study feedback information includes two kinds of test information, i.e., one is triggered according to learners' corpora
Actively test information, and another kind is the Passive Test information of passive triggering according to study course, guarantee no matter learner
Whether there is initiative to be tested, there is corresponding test examination question to be matched, examined with the achievement after learning to learner
It tests.
Preferably, according to different learning Contents to preset several progress nodal informations in each study video, according to
Default progress node is in study video to export Passive Test information.
Using the above scheme, the study video on learning machine is split into several segments according to different learning Contents, often
As soon as the node of section contact is the progress nodal information, once there is the progress nodal information directly triggering Passive Test letter
Breath, to match test examination question corresponding to this section of learning Content.
Preferably, including
Obtain current erroneous rate information;
According to pre-set error rate reference information compared with current erroneous rate information carries out analysis;
If current erroneous rate information be greater than error rate reference information, according to progress nodal information corresponding to Passive Test information with
Repeat the corresponding learning Content of progress nodal information;
If current erroneous rate information be less than error rate reference information, according to progress nodal information corresponding to Passive Test information with
Into learning Content corresponding to next progress nodal information.
Using the above scheme, it is compared according to the error rate information of a whole set of examination question, is believed if it is error rate benchmark is greater than
Breath, i.e., error rate is excessively high, and illustrate to grasp the content that this block learns is not very well, so directly repeating this progress node letter
The corresponding learning Content of breath illustrates may be used also to what the content that this block learns was grasped if it is error rate reference information is less than
With, it is ensured that the content that learner learns each piece, which has all been grasped, just enters next piece of content.
Preferably, according to error rate reference information and current erroneous rate information analysis comparable situation;If current erroneous rate
Information is greater than error rate reference information, forms unqualified result information;
It obtains current unqualified result information and is recorded;
If the record number of unqualified result information corresponding to current schedules nodal information is greater than default basic number;
The record number of unqualified result information is fed back to administrator's account of active user's corresponding account.
Preferably, according to error rate reference information and current erroneous rate information analysis comparable situation;If current erroneous rate
Information is less than error rate reference information, forms pass result information;
It obtains current pass result information and is recorded;
If the record number of pass result information is greater than default basic number;
The record number of pass result information is fed back to administrator's account of active user's corresponding account.
Using the above scheme, unqualified result information generated in learner's learning process is recorded, once
More than the number on basis, illustrates that learner does not study hard at this time, be constantly in the state wasted time, therefore directly to prison
The person of superintending and directing directly is fed back, i.e., corresponding feedback system can be relatively different, to guarantee that overseer can get this
Information;Pass result information generated in learner's learning process is recorded, once it is more than the number on basis, explanation
It learner and studies hard at this time, overseer can be fed directly to.
Preferably, if the record number of pass result information is greater than default basic number;
Default incentive message is fed back to administrator's account of active user's corresponding account.
Using the above scheme, for the learner of the number more than basis, corresponding resume can be fed back to administrator's account
The enthusiasm of learner and overseer are improved in family.
The second object of the present invention is to provide storage medium, can store the instruction set of corresponding intelligence learning measure of supervision,
The study situation of learner is exercised supervision and fed back, is understood convenient for overseer.
Above-mentioned technical purpose of the invention has the technical scheme that
A kind of storage medium, is stored with instruction set, and described instruction collection is suitable for a processor and loads and execute following processing, wraps
It includes:
Obtain the current study feedback information of active user;
In corresponding relationship between pre-set, study feedback information and study test question information, search and current
Practise the corresponding current study test question information of feedback information;
According to current study feedback information to feed back the current study test question information;
Obtain current script information corresponding with current study test question information;
From the corresponding relationship between pre-set, study test question information and preset script information, lookup is worked as with described
The corresponding current preset script information of preceding study test question information;
It is mutually compared according to current script information and current preset script information to form current erroneous rate information
And feed back to administrator's account of active user's corresponding account.
Using the above scheme, it carries out matching corresponding examination question according to current study feedback information, so that learner surveys
Examination, and feed back to administrator's account corresponding to overseer according to the error rate that test examination question is answered, it can effectively protect
Card overseer can understand the study situation of learner in time, avoid passing through the situation that the equipment such as learning machine are learnt and do not appoint
What feedback and cause overseer to have no way of learning the study condition of study.
The third object of the present invention is to provide a kind of control device, can the study situation to learner exercise supervision and go forward side by side
Row feedback, understands convenient for overseer.
Above-mentioned technical purpose of the invention has the technical scheme that
A kind of control device, comprising:
Processor, for loading and executing instruction collection;And
Such as above-mentioned storage medium.
Using the above scheme, it carries out matching corresponding examination question according to current study feedback information, so that learner surveys
Examination, and feed back to administrator's account corresponding to overseer according to the error rate that test examination question is answered, it can effectively protect
Card overseer can understand the study situation of learner in time, avoid passing through the situation that the equipment such as learning machine are learnt and do not appoint
What feedback and cause overseer to have no way of learning the study condition of study.
The fourth object of the present invention is to provide a kind of learning machine, can the study situation to learner exercise supervision and carry out
Feedback understands convenient for overseer.
Above-mentioned technical purpose of the invention has the technical scheme that
A kind of learning machine, comprising:
Processor, for loading and executing instruction collection;And
Such as above-mentioned storage medium.
Using the above scheme, it carries out matching corresponding examination question according to current study feedback information, so that learner surveys
Examination, and feed back to administrator's account corresponding to overseer according to the error rate that test examination question is answered, it can effectively protect
Card overseer can understand the study situation of learner in time, avoid passing through the situation that the equipment such as learning machine are learnt and do not appoint
What feedback and cause overseer to have no way of learning the study condition of study.
In conclusion the invention has the following advantages:
1, the case where learning to learner exercises supervision and gives error rate feedback to administrator's account, convenient for understanding monitoring.
Detailed description of the invention
Fig. 1 is the flow diagram of intelligence learning measure of supervision;
Fig. 2 is the flow diagram that the method for study is looked back according to error rate;
Fig. 3 is the flow diagram of the method for unqualified data feedback;
Fig. 4 is the flow diagram of the method for qualified data feedback.
Specific embodiment
Below in conjunction with attached drawing, invention is further described in detail.
This specific embodiment is only explanation of the invention, is not limitation of the present invention, those skilled in the art
Member can according to need the modification that not creative contribution is made to the present embodiment after reading this specification, but as long as at this
All by the protection of Patent Law in the scope of the claims of invention.
The present invention is based on cloud network operation platforms, with learning machines such as electronic planes as terminal, it is intended to mutual by integrating
High-quality teaching resource and local training resource in networking teach tool for the Outside Class Studying that school and family provide;Based on cloud
Network O&M platform is held, resource is issued by client, tablet terminal shows resource data.
Based on platform end, different training organizations or businessman establish corresponding unit, and oneself is introduced, that is, provide
The training organization of resource or businessman upload the information such as unit relevant information, including teacher team, prize-winning honor;Establish corresponding list
Corresponding unit account and password are obtained after position to be managed to the unit of foundation;The management includes publication video, modification
Video etc. is checked in the information of unit, authorization;Wherein, about the video of publication there are many state, can be divided into free video resource,
Paid video resource and bonus video resource etc.;Platform end by the integration to resource for learner learn it is clear
It lookes at.
Based on learning machine, learner needs to register corresponding account, and overseer needs to register corresponding administrator's account;
Administrator's account can individually supervise the account of a learner, the account of multiple learners can also be supervised, according to different
The demand of overseer is configured;Administrator's account is capable of the process of the account of real time inspection learner, the study view browsed
Frequency and the study schedule of corresponding study video study;And study schedule corresponding to the account of learner can default side
Formula carries out feeding back to administrator's account;Learner could browse corresponding video resource after registration;It selects according to the actual situation
Corresponding unit, browsing unit information check INTRODUCTION OF THE COURSE STRUCTURE, check video content;It is simultaneously provided in line charging function, this is supplemented with money
Function only only has administrator's account just to can be carried out and supplement with money, by administrator's account authorization to the account of corresponding learner after supplementing with money
Family carry out using.
The embodiment of the present invention provides a kind of intelligence learning measure of supervision, comprising: obtains the current study feedback of active user
Information;In corresponding relationship between pre-set, study feedback information and study test question information, search with current study instead
The corresponding current study test question information of feedforward information;According to current study feedback information to feed back current study test question information;It obtains
Current script information corresponding with current study test question information;From pre-set, study test question information and preset examination question
In corresponding relationship between answer information, current preset script information corresponding with current study test question information is searched;Root
It mutually compares according to current script information and current preset script information to form current erroneous rate information and feed back
To administrator's account of active user's corresponding account.
In the embodiment of the present invention, the study situation and progress of corresponding learner are obtained in order to facilitate overseer, so root
It carries out matching corresponding examination question according to current study feedback information, so that learner tests;After learner's test terminates, i.e.,
Corresponding current script information can be generated, is compared according to preset script information, is worked as so that determination is corresponding
Preceding error rate information, and feed back to administrator's account, energy corresponding to overseer according to the error rate that test examination question is answered
Enough effective study situations for guaranteeing overseer and capable of understanding learner in time, avoid passing through what the equipment such as learning machine were learnt
Situation does not have any feedback and overseer is caused to have no way of learning the study condition of study.
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
In addition, the terms "and/or", only a kind of incidence relation for describing affiliated partner, indicates may exist
Three kinds of relationships, for example, A and/or B, can indicate: individualism A exists simultaneously A and B, these three situations of individualism B.Separately
Outside, character "/" herein typicallys represent the relationship that forward-backward correlation object is a kind of "or" unless otherwise specified.
The embodiment of the present invention is described in further detail with reference to the accompanying drawings of the specification.
Referring to Figure 1, the embodiment of the present invention provides a kind of intelligence learning measure of supervision, and the main flow description of method is such as
Under.
As shown in Figure 1:
Step 100: obtaining the current study feedback information of active user.
Wherein, study feedback information includes actively testing information and Passive Test information;I.e. one is according to learner
That independently triggers actively tests information, and the mode independently triggered can be triggered by the entity button on triggering learning machine,
It is also possible to be triggered by the virtual push button on touching display screen;And another kind is passive triggering according to study course
Passive Test information;According to different learning Contents to preset several progress nodal informations in each study video, according to study
Default progress node is in video to export Passive Test information.Guarantee no matter whether learner has initiative to test,
There is corresponding test examination question to be matched, is tested with the achievement after learning to learner.
Step 200: in the corresponding relationship between pre-set, study feedback information and study test question information, searching
Current study test question information corresponding with current study feedback information.
Step 300: according to current study feedback information to feed back current study test question information.
Wherein, study test question information include with actively test information be mutually related practice test question information and with passively survey
Examination information, which is mutually related, tests test question information.Cloud network operation platform has corresponding item database, i.e., each correspondence
Study video data be corresponding with several examination questions, according to current study feedback information to extract the examination question number in item database
Can be multiple-choice question according to, the examination question data there are many type, gap-filling questions etc., thus formed corresponding practice test question information with
And test test question information.
Step 400: obtaining current script information corresponding with current study test question information.
Step 500: from the corresponding relationship between pre-set, study test question information and preset script information,
Search current preset script information corresponding with current study test question information.
Wherein, learner carries out answering to form corresponding current script after getting corresponding examination question
Information, so that system carries out analysis error rate to the problem of answer;Facilitate learner, without autonomic nucleus to answer.
Step 600: mutually comparing and worked as with being formed according to current script information and current preset script information
Preceding error rate information and the administrator's account for feeding back to active user's corresponding account.
Wherein, the mode of comparison checks corresponding answer, if current script information and current preset script
Information is consistent, then illustrates that answer is correct, conversely, then mistake;It is corresponding current wrong to be formed after checking all examination questions
Accidentally rate information, the calculation of current erroneous rate are the examination question quantity of mistake divided by the examination question quantity of all tests.
The mode of feedback can be APP pushed information, short message prompting, voice reminder, phone alerts etc. mode, this implementation
Feedback system in example can be above-mentioned one or more of combinations, it is ensured that overseer can be allowed to get corresponding information.
In order to guarantee learner in learning process, it can be ensured that corresponding content has been grasped, so to current erroneous
Rate information is analyzed, if error rate is higher, then learner is needed to look back current learning Content again, it is ensured that study it is interior
Appearance can be grasped.As shown in Fig. 2, steps are as follows for specific method:
Step 710: obtaining current erroneous rate information.
Step 720: according to pre-set error rate reference information compared with current erroneous rate information carries out analysis.
Wherein, error rate reference information is default a reference value, and a reference value by the error rate is 80%.
Step 730: if current erroneous rate information be greater than error rate reference information, according to corresponding to Passive Test information into
Nodal information is spent to repeat the corresponding learning Content of progress nodal information.
Step 740: if current erroneous rate information be less than error rate reference information, according to corresponding to Passive Test information into
Nodal information is spent to enter learning Content corresponding to next progress nodal information.
Wherein, according to the actual conditions of corresponding current erroneous rate information, to determine whether being able to enter next progress
Learning Content corresponding to nodal information can effectively ensure that the quality of study, it is ensured that learner will appreciate that.
By current erroneous rate information and during feed back to administrator's account of active user's corresponding account, work as to all
Preceding error rate information is for statistical analysis to form corresponding data, refers to for overseer, as shown in figure 3, specific method step
It is rapid as follows:
Step 810: according to error rate reference information and current erroneous rate information analysis comparable situation;If current erroneous rate information is big
In error rate reference information, unqualified result information is formed.
Step 820: obtaining current unqualified result information and recorded.
Step 830: being preset if the record number of unqualified result information corresponding to current schedules nodal information is greater than
Basic number.
Step 840: the record number of unqualified result information is fed back to administrator's account of active user's corresponding account.
It is as shown in Figure 4:
Step 910: according to error rate reference information and current erroneous rate information analysis comparable situation;If current erroneous rate information is small
In error rate reference information, pass result information is formed.
Step 920: obtaining current pass result information and recorded.
Step 930: if the record number of pass result information is greater than default basic number.
Step 940: the record number of pass result information is fed back to administrator's account of active user's corresponding account.
Step 950: default incentive message is fed back to administrator's account of active user's corresponding account.
Wherein, by the way that the record number of unqualified result information corresponding to current schedules nodal information is fed back to management
Member's account can effectively ensure that overseer understands the study schedule of learner, i.e., the attitude towards study of learner can under the state
There can be problem, need further linked up;Convenient monitoring person carries out corresponding measure.
By the way that the record number of pass result information corresponding to current schedules nodal information is fed back to administrator's account,
It can effectively ensure that overseer understands the study schedule of learner, i.e., the study schedule of learner is preferable under the state;It is convenient
It is praised after overseer's understanding progress.
Wherein default incentive message can be money, bonus video resource etc.;It can be set according to the actual situation
Different reward, it is ensured that the enthusiasm of learner and overseer.
The embodiment of the present invention provides a kind of storage medium, and storage medium is stored with instruction set, which is suitable for a processing
Device is loaded and is executed including Fig. 1-Fig. 4.Each step in process.
Computer storage medium for example, USB flash disk, mobile hard disk, read-only memory (Read-Only Memory, ROM),
Random access memory (Random Access Memory, RAM), magnetic or disk etc. be various to can store program code
Medium.
Based on the same inventive concept, the embodiment of the present invention provides a kind of control device, comprising: processor, for loading simultaneously
Execute instruction collection;And above-mentioned storage medium.
Based on the same inventive concept, the embodiment of the present invention provides a kind of learning machine, comprising: processor, for loading and holding
Row instruction set;And above-mentioned storage medium.
It is apparent to those skilled in the art that for convenience and simplicity of description, only with above-mentioned each function
The division progress of module can according to need and for example, in practical application by above-mentioned function distribution by different function moulds
Block is completed, i.e., the internal structure of device is divided into different functional modules, to complete all or part of function described above
Energy.The specific work process of the system, apparatus, and unit of foregoing description, can be with reference to corresponding in preceding method embodiment
Journey, details are not described herein.
In several embodiments provided herein, it should be understood that disclosed system, device and method can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, module or unit
Division, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or group
Part can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown
Or the mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, device or unit it is indirect
Coupling or communication connection can be electrical property, mechanical or other forms.
Unit may or may not be physically separated as illustrated by the separation member, shown as a unit
Component may or may not be physical unit, it can and it is in one place, or may be distributed over multiple networks
On unit.It can some or all of the units may be selected to achieve the purpose of the solution of this embodiment according to the actual needs.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
It, can if integrated unit is realized in the form of SFU software functional unit and when sold or used as an independent product
To be stored in a computer readable storage medium.Based on this understanding, the technical solution of the application substantially or
Say that all or part of the part that contributes to existing technology or the technical solution can embody in the form of software products
Out, which is stored in a storage medium, including some instructions are used so that a computer equipment
(can be personal computer, server or the network equipment etc.) or processor (processor) execute each implementation of the application
The all or part of the steps of example method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory, arbitrary access
The various media that can store program code such as memory, magnetic or disk.
More than, above embodiments are only described in detail to the technical solution to the application, but above embodiments
Illustrate to be merely used to help understand method and its core concept of the invention, should not be construed as limiting the invention.This technology
In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by the technical staff in field, should all cover in this hair
Within bright protection scope.
Claims (10)
1. a kind of intelligence learning measure of supervision, characterized in that include:
Obtain the current study feedback information of active user;
In corresponding relationship between pre-set, study feedback information and study test question information, search and current
Practise the corresponding current study test question information of feedback information;
According to current study feedback information to feed back the current study test question information;
Obtain current script information corresponding with current study test question information;
From the corresponding relationship between pre-set, study test question information and preset script information, lookup is worked as with described
The corresponding current preset script information of preceding study test question information;
It is mutually compared according to current script information and current preset script information to form current erroneous rate information
And feed back to administrator's account of active user's corresponding account.
2. intelligence learning measure of supervision according to claim 1, characterized in that the study feedback information includes actively surveying
Try information and Passive Test information;The study test question information include with actively test information be mutually related practice examination question letter
It ceases and is mutually related with Passive Test information and test test question information.
3. intelligence learning measure of supervision according to claim 2, characterized in that according to different in each study video
Content is practised to preset several progress nodal informations, according to default progress node in study video to export Passive Test letter
Breath.
4. intelligence learning measure of supervision according to claim 3, characterized in that including
Obtain current erroneous rate information;
According to pre-set error rate reference information compared with current erroneous rate information carries out analysis;
If current erroneous rate information be greater than error rate reference information, according to progress nodal information corresponding to Passive Test information with
Repeat the corresponding learning Content of progress nodal information;
If current erroneous rate information be less than error rate reference information, according to progress nodal information corresponding to Passive Test information with
Into learning Content corresponding to next progress nodal information.
5. intelligence learning measure of supervision according to claim 4, characterized in that
According to error rate reference information and current erroneous rate information analysis comparable situation;If current erroneous rate information is greater than error rate
Reference information forms unqualified result information;
It obtains current unqualified result information and is recorded;
If the record number of unqualified result information corresponding to current schedules nodal information is greater than default basic number;
The record number of unqualified result information is fed back to administrator's account of active user's corresponding account.
6. intelligence learning measure of supervision according to claim 4, characterized in that
According to error rate reference information and current erroneous rate information analysis comparable situation;If current erroneous rate information is less than error rate
Reference information forms pass result information;
It obtains current pass result information and is recorded;
If the record number of pass result information is greater than default basic number;
The record number of pass result information is fed back to administrator's account of active user's corresponding account.
7. intelligence learning measure of supervision according to claim 6, characterized in that
If the record number of pass result information is greater than default basic number;
Default incentive message is fed back to administrator's account of active user's corresponding account.
8. a kind of storage medium, characterized in that it is stored with instruction set, and described instruction collection is suitable for a processor and loads and execute such as
Lower processing, comprising:
Obtain the current study feedback information of active user;
In corresponding relationship between pre-set, study feedback information and study test question information, search and current
Practise the corresponding current study test question information of feedback information;
According to current study feedback information to feed back the current study test question information;
Obtain current script information corresponding with current study test question information;
From the corresponding relationship between pre-set, study test question information and preset script information, lookup is worked as with described
The corresponding current preset script information of preceding study test question information;
It is mutually compared according to current script information and current preset script information to form current erroneous rate information
And feed back to administrator's account of active user's corresponding account.
9. a kind of control device, characterized in that include:
Processor, for loading and executing instruction collection;And
Storage medium as claimed in claim 8.
10. a kind of learning machine, it is characterized in that: including:
Processor, for loading and executing instruction collection;And
Storage medium as claimed in claim 8.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811395062.1A CN109712455A (en) | 2018-11-22 | 2018-11-22 | Intelligence learning measure of supervision, storage medium, control device and learning machine |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811395062.1A CN109712455A (en) | 2018-11-22 | 2018-11-22 | Intelligence learning measure of supervision, storage medium, control device and learning machine |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109712455A true CN109712455A (en) | 2019-05-03 |
Family
ID=66254386
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811395062.1A Pending CN109712455A (en) | 2018-11-22 | 2018-11-22 | Intelligence learning measure of supervision, storage medium, control device and learning machine |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109712455A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111612665A (en) * | 2020-05-27 | 2020-09-01 | 上海乂学教育科技有限公司 | Supervision and correction system and method for groundwork learning |
Citations (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101241649A (en) * | 2007-02-08 | 2008-08-13 | 北京凯诚高清电子技术有限公司 | Network education training method and device |
CN101542512A (en) * | 2007-04-23 | 2009-09-23 | 株式会社Happyedu | On-line education method coupled with an item pool and a lecture |
CN101833877A (en) * | 2010-03-24 | 2010-09-15 | 杭州全动科技有限公司 | Enlightening education method for preschool child |
CN101989313A (en) * | 2009-07-30 | 2011-03-23 | 李俊杰 | Reward-penalty achievement test system and method as well as reward machine thereof |
CN103778814A (en) * | 2014-01-13 | 2014-05-07 | 重庆市树德科技有限公司 | Skill examination scoring system |
CN103778809A (en) * | 2014-01-24 | 2014-05-07 | 杨海 | Automatic video learning effect testing method based on subtitles |
CN106485964A (en) * | 2016-10-19 | 2017-03-08 | 深圳市鹰硕技术有限公司 | A kind of recording of classroom instruction and the method and system of program request |
CN106611522A (en) * | 2015-10-27 | 2017-05-03 | 金陵科技学院 | Application of learning software system based on objective questions |
CN107274738A (en) * | 2017-06-23 | 2017-10-20 | 广东外语外贸大学 | Chinese-English translation teaching points-scoring system based on mobile Internet |
CN107547925A (en) * | 2017-09-27 | 2018-01-05 | 刘伟平 | A kind of video learns monitor system |
CN107591051A (en) * | 2017-10-16 | 2018-01-16 | 广东轻工职业技术学院 | Autonomous learning platform |
CN107886451A (en) * | 2017-11-13 | 2018-04-06 | 浙江工商大学 | Exercise individualized fit method in the Teaching System of mobile terminal |
CN107911457A (en) * | 2017-11-17 | 2018-04-13 | 广东小天才科技有限公司 | One kind study video is with topic method and system |
CN108269446A (en) * | 2018-02-02 | 2018-07-10 | 河南科技学院 | A kind of information feed-back type interactive teaching and learning device |
CN108470479A (en) * | 2018-04-23 | 2018-08-31 | 安徽展航信息科技发展有限公司 | A kind of networked teaching platform based on big data digging technology |
CN108810638A (en) * | 2018-07-06 | 2018-11-13 | 合肥明高软件技术有限公司 | A kind of on-line study monitor system |
-
2018
- 2018-11-22 CN CN201811395062.1A patent/CN109712455A/en active Pending
Patent Citations (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101241649A (en) * | 2007-02-08 | 2008-08-13 | 北京凯诚高清电子技术有限公司 | Network education training method and device |
CN101542512A (en) * | 2007-04-23 | 2009-09-23 | 株式会社Happyedu | On-line education method coupled with an item pool and a lecture |
CN101989313A (en) * | 2009-07-30 | 2011-03-23 | 李俊杰 | Reward-penalty achievement test system and method as well as reward machine thereof |
CN101833877A (en) * | 2010-03-24 | 2010-09-15 | 杭州全动科技有限公司 | Enlightening education method for preschool child |
CN103778814A (en) * | 2014-01-13 | 2014-05-07 | 重庆市树德科技有限公司 | Skill examination scoring system |
CN103778809A (en) * | 2014-01-24 | 2014-05-07 | 杨海 | Automatic video learning effect testing method based on subtitles |
CN106611522A (en) * | 2015-10-27 | 2017-05-03 | 金陵科技学院 | Application of learning software system based on objective questions |
CN106485964A (en) * | 2016-10-19 | 2017-03-08 | 深圳市鹰硕技术有限公司 | A kind of recording of classroom instruction and the method and system of program request |
CN107274738A (en) * | 2017-06-23 | 2017-10-20 | 广东外语外贸大学 | Chinese-English translation teaching points-scoring system based on mobile Internet |
CN107547925A (en) * | 2017-09-27 | 2018-01-05 | 刘伟平 | A kind of video learns monitor system |
CN107591051A (en) * | 2017-10-16 | 2018-01-16 | 广东轻工职业技术学院 | Autonomous learning platform |
CN107886451A (en) * | 2017-11-13 | 2018-04-06 | 浙江工商大学 | Exercise individualized fit method in the Teaching System of mobile terminal |
CN107911457A (en) * | 2017-11-17 | 2018-04-13 | 广东小天才科技有限公司 | One kind study video is with topic method and system |
CN108269446A (en) * | 2018-02-02 | 2018-07-10 | 河南科技学院 | A kind of information feed-back type interactive teaching and learning device |
CN108470479A (en) * | 2018-04-23 | 2018-08-31 | 安徽展航信息科技发展有限公司 | A kind of networked teaching platform based on big data digging technology |
CN108810638A (en) * | 2018-07-06 | 2018-11-13 | 合肥明高软件技术有限公司 | A kind of on-line study monitor system |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111612665A (en) * | 2020-05-27 | 2020-09-01 | 上海乂学教育科技有限公司 | Supervision and correction system and method for groundwork learning |
CN111612665B (en) * | 2020-05-27 | 2024-04-05 | 上海松鼠课堂人工智能科技有限公司 | Supervision and correction system and method for foundation learning |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Wang et al. | Instructions and guide for diagnostic questions: The neurips 2020 education challenge | |
Pereira et al. | Survey and analysis of current mobile learning applications and technologies | |
US9047785B2 (en) | Integration of an e-book e-report with data collection and control devices using APIs that operate within a browser | |
CN110297963A (en) | Test question purpose generation method and device, storage medium, electronic equipment | |
CN111046852A (en) | Personal learning path generation method, device and readable storage medium | |
US20170256174A1 (en) | Computer-implemented system and method for administering an examination | |
CN109712455A (en) | Intelligence learning measure of supervision, storage medium, control device and learning machine | |
Arpaci | Design and development of educational multimedia: the software development process for mobile learning | |
JP2018059973A (en) | Learning support device, and learning support program | |
CN114005325B (en) | Teaching training method, device and medium based on big data | |
Lagman et al. | Extracting personalized learning path in adaptive e-learning environment using rule based assessment | |
CN113706025A (en) | Learning report generation method and device, computer equipment and storage medium | |
CN111553555A (en) | Training method, training device, computer equipment and storage medium | |
Fratamico et al. | A visual approach towards knowledge engineering and understanding how students learn in complex environments | |
Budianto et al. | Implementation of tensor flow-based deep learning in the learning application of around things in English | |
Wardani et al. | Digital Self-Learning: Engaging Students in Studying Salat Al-Janazah (The Islamic Funeral Prayer) Based-on Digital Self-Learning | |
CN116110263B (en) | Answering method and system based on electronic student identity card, electronic equipment and storage medium | |
Blažič et al. | Serious game design for digital forensics training | |
KR20190000675A (en) | System for study | |
Pan et al. | Insights into computational thinking from think‐aloud interviews: A systematic review | |
Perez-Colado et al. | Simplifying serious games and analytics deployment in a virtual campus using lti and xapi | |
Zunic et al. | A tool for computer-supported development of learning scenarios | |
Fridayanti et al. | Development of Android-Based Software to Support The Selection of University Majors that Fits with Student Personality Type | |
Bergner | CPSX: A tool for online collaborative problem-solving in open edX | |
Quandt et al. | BLOCKY CODING–INTERACTIVE TEACHING OF PROGRAMMING LOGIC FOR CHILDREN |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190503 |