CN108717673A - Difficult point detection method and device in Web-based instruction content - Google Patents
Difficult point detection method and device in Web-based instruction content Download PDFInfo
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Abstract
The disclosure is directed to difficult point detection method, device, electronic equipment and storage mediums in a kind of Web-based instruction content, are related to field of computer technology.This method includes：Content of courses broadcast information and/or user behavior information of the user in carrying out content of courses learning process are detected by user terminal, the study difficult point content in the content of courses is determined according to the content broadcast information and/or user behavior information, determine that the difficulty between each difficult point content weighs ratio according to default difficult point detection algorithm, and the difficulty value than calculating each difficult point content is weighed according to the difficulty, the correspondence for generating the difficulty value and difficult point content in the content of courses, the difficult point difficulty in the content of courses is determined according to the correspondence.The disclosure can obtain detection of the information realization to difficult point in Web-based instruction content by user terminal.
Description
Technical field
This disclosure relates to field of computer technology, in particular to difficult point detection method in a kind of Web-based instruction content,
Device, electronic equipment and computer readable storage medium.
Background technology
Currently, with the raising of content of courses difficulty, complexity, quickly the content of courses is accurately detected in teaching
Difficult point can not only remind teacher to carry out emphasis teaching to the difficult point of the content of courses, but also student can be promoted to different difficult point knowledge
The quick assurance of point.However, in field research, the method that obtains content of courses difficult point be typically all by teacher experience or
The corresponding test question of the statistic test content of courses as a result, the former, which not can accurately grasp each student, learns the religion
Learn the difficult point distribution of content, and the latter generally requires the longer period, operating method is complicated, both methods all cannot quickly and
The accurately difficult point of the detection content of courses.
In the prior art, difficult point detects this theme in the content of courses, and there are also patent applications to be had
The trial of benefit, such as：
Application No. is the patent applications of CN201711176297.7 to disclose a kind of auxiliary analyzed based on multi-dimensional data
Teaching method and assisted teaching system, in server end, are known by being inscribed according to problem template typing mistake in client by mistake topic
Know point analysis and obtain wrong topic knowledge point and wrong topic rate, and inverse analysis is returned by multi-dimensional data analysis, association analysis, history, obtains
Instruction analysis achievement is obtained, and analysis results are subjected to Dynamic Display.This application is mainly by the concentration to student's mistake topic record
Acquisition, storage, and multi dimensional analysis is carried out to data and determines focal points.
Application No. is the patent application of CN201110166693.8 disclose one kind automatically analyze vocabulary difficulty and explain it is difficult
The embedded system and method for point vocabulary, whether system prompt be arranged the vocabulary level of current user, if so, judge whether into
Row user's vocabulary level is tested, if so, being counted to test result, obtains the degree-of-difficulty factor of user's vocabulary level, in conjunction with
Obtained degree-of-difficulty factor analyzes the article that will be read；If the degree-of-difficulty factor of article is more than the vocabulary water of the user obtained
Flat degree-of-difficulty factor then assists annotation difficulty to be more than or equal to the vocabulary of user's vocabulary level.This application is mainly by surveying user
The mode collection analysis of examination calculates the difficulty of vocabulary.
Application No. is the patent applications of CN201610999557.X to disclose a kind of teaching difficulty big data analysis system, leads to
It crosses and extracts the examination paper label that each part student paper does wrong, and count whole student's papers, the mistake of each wrong topic label of extraction
Rate, knowledge point taxis system are provided with examination paper class categories list, and the examination paper label based on same knowledge point is categorized in examination paper point
In a knowledge point for class list of categories, mistake topic statistical system, by the error rate phase of whole examination paper labels in a knowledge point
Add, obtain the whole error rate of the knowledge point, teaching quality evaluation system explains the teaching matter of each knowledge point for teacher
Amount is evaluated.This application is mainly the error rate answered by largely acquiring each topic of user's paper, counter to push away in the content of courses
Teaching difficulty.
Application No. is the patent applications of CN201611047981.0 to disclose a kind of analysis method and clothes of study difficult point
Business device, this method include the user behavior information for receiving multiple terminals and uploading, and the user behavior information is that the terminal is being broadcast
Operation when putting objective teaching video according to user for the broadcast nodes input of one or more of the objective teaching video
Instruction and generate, the operational order is for reflecting that user is low to the degree of understanding of the corresponding content of courses of the broadcast nodes
In predeterminable level；According to the user behavior information of reception, finds out and concentrated input behaviour in the objective teaching video
Make the broadcast nodes instructed, as problem broadcast nodes；According to described problem broadcast nodes, analysis obtains the objective teaching and regards
Study difficult point in frequency.This application, only can be anti-mainly by user operation instruction come the study difficult point of analytic instruction content
Using the active operation information at family, it is unable to collection analysis User Status, and then is unable to the realization of Comprehensive to content of courses hardly possible
The assessment of degree.
In the prior art, the processing detected about difficult point in Web-based instruction content there is problems：
1, mostly the difficulty in the content of courses is obtained by counting test result in examination paper and error rate in the prior art
Point can not quickly realize the detection to content of courses difficult point, more not applicable especially in the Web-based instruction；
2, judge that standard and the rule of content of courses difficult point are more single in the prior art, can not comprehensively realize to religion
The analysis of content overall difficulty is learned, so that identified difficult point content accuracy is relatively low and not comprehensive.
It should be noted that information is only used for reinforcing the reason to the background of the disclosure disclosed in above-mentioned background technology part
Solution, therefore may include the information not constituted to the prior art known to persons of ordinary skill in the art.
Invention content
The disclosure be designed to provide difficult point detection method in a kind of Web-based instruction content, device, electronic equipment and
Computer readable storage medium, it is intended to which solution is quickly realized in the prior art asks difficult point detection in the Web-based instruction
Topic.The improvement of the present invention includes the following contents：
Content of courses broadcast information and/or use of the user in carrying out content of courses learning process are detected by user terminal
Family behavioural information, for example, the pausing operation of the feature of frowning of user, sigh feature, user terminal, repeat playing operation and return
The information such as operation are put, the study difficult point content in the content of courses is determined according to these information, it is true according to default difficult point detection algorithm
Difficulty between fixed each difficult point content weighs ratio, and weighs the difficulty than calculating each difficult point content according to the difficulty
Value generates the correspondence of the difficulty value and difficult point content in the content of courses, according to correspondence determination
Difficult point difficulty in the content of courses, it is seen then that the disclosure can quickly obtain content of courses difficult point after analysis calculates, and
And the difficulty value of the current content of courses is obtained by much information tradeoff comparison, further improve the accurate of difficulty value calculating
Property.
The difficult point content in content of courses learning process and corresponding difficulty value are carried out by counting all users, and really
The overall difficulty information of the fixed content of courses can both be used for counting the difficulty in each user's progress content of courses learning process
Point content and corresponding difficulty value can also be directed to the same content of courses and count all users' progress content of courses study
Difficult point content in the process and corresponding difficulty value, and determine the religion according to all difficult point contents and corresponding difficulty value
Learn the overall difficulty information of content.
Difficult point content in multiple versions that can also be by counting the same content of courses and corresponding difficulty value, it is comprehensive
The difficult point content in multiple versions and corresponding difficulty value are analyzed, determines that difficulty value is difficult more than the exception of default difficulty threshold value
Spend content, adjustment prompt message is sent out according to abnormal difficulty content, with prompt to the content of courses with abnormal difficulty content into
Row adjustment.Such as in the same content of courses of different teachers ' teachings, because the content of courses is identical, so point of knowledge point and difficult point
Cloth also should be roughly the same, detects the difficulty Distribution value of different teachers ' teaching contents, if certain teacher is in the difficulty of some knowledge point
Angle value is significantly greater than remaining teacher, it is determined that the content of courses of the teacher is abnormal difficulty content, is sent out the teacher
Go out to adjust prompt message, the content of courses with abnormal difficulty content is adjusted with prompt.
According to one aspect of the disclosure, difficult point detection method in a kind of Web-based instruction content is provided, including：
Infomation detection step：The content of courses of the user in carrying out content of courses learning process is detected by user terminal to broadcast
Put information and/or user behavior information；
Difficult point content determination step：It is determined in the content of courses according to the content broadcast information and/or user behavior information
Study difficult point content；
Difficulty value calculates step：Determine that the difficulty between each difficult point content weighs ratio according to default difficult point detection algorithm,
And the difficulty value than calculating each difficult point content is weighed according to the difficulty；
Correspondence generation step：Generate the correspondence of the difficulty value and difficult point content in the content of courses, root
The difficult point difficulty in the content of courses is determined according to the correspondence.
In a kind of exemplary embodiment of the disclosure, described information detecting step, including：
User behavior information is detected by the ancillary equipment of the user terminal；
The terminal operation information for detecting the user terminal determines that the content plays letter according to the terminal operation information
Breath.
In a kind of exemplary embodiment of the disclosure, the user behavior information includes the face feature information of user,
The difficult point content determination step, including：
Judge whether the face feature information of the user includes frown feature and/or sigh feature；
If including using the currently playing part content of courses as difficult point content.
In a kind of exemplary embodiment of the disclosure, the terminal operation information includes the pause in the content of courses
Operate, repeat playing operation, forwarding operation and playback operation at least one of, the difficult point content determination step, including with
Under any one or more sub-steps：
First detection sub-step：The pausing operation in the content of courses is detected, if the pause duration detected is default
Suspend duration range, using the corresponding part content of courses of pausing operation as difficult point content；
Second detection sub-step：It detects in the content of courses and repeats playing operation, if what is detected repeats playing behaviour
Make number and be more than default number of repetition, the corresponding part content of courses of operation will be repeated playing as difficult point content；
Third detects sub-step：The playback operation in the content of courses is detected, if the playback operation number detected is big
In default playback number, using the corresponding part content of courses of playback operation as difficult point content.
In a kind of exemplary embodiment of the disclosure, the terminal operation information includes that user adds in the content of courses
Difficult point identification information, the difficult point content determination step, including：
The difficult point identification information that user adds in the content of courses is collected, the part content of courses of difficult point identification information will be added
As difficult point content.
In a kind of exemplary embodiment of the disclosure, the default difficult point detection algorithm includes that method of substitution is compared in tradeoff.
In a kind of exemplary embodiment of the disclosure, the method further includes：
It counts all users and carries out the difficult point content in content of courses learning process and corresponding difficulty value；
The overall difficulty information of the content of courses is determined according to all difficult point contents and corresponding difficulty value.
In a kind of exemplary embodiment of the disclosure, the method further includes：
Count the difficult point content in multiple versions of the same content of courses and corresponding difficulty value；
Difficult point content in the multiple versions of comprehensive analysis and corresponding difficulty value determine that difficulty value is more than default difficulty
The abnormal difficulty content of threshold value；
Send out adjustment prompt message according to abnormal difficulty content, with prompt to the content of courses with abnormal difficulty content into
Row adjustment.
In a kind of exemplary embodiment of the disclosure, the method further includes：
According to the correspondence of difficult point content in the difficulty value and the content of courses, instructional testing is generated for user
Topic.
In one aspect of the present disclosure, difficult point detection device in a kind of Web-based instruction content is provided, including：
Information detecting module, for detecting user in the teaching in carrying out content of courses learning process by user terminal
Hold broadcast information and/or user behavior information；
Difficult point determining module, for being determined in the content of courses according to the content broadcast information and/or user behavior information
Study difficult point content；
Difficulty value computing module, for determining that the difficulty between each difficult point content is weighed according to default difficult point detection algorithm
Than, and the difficulty value than calculating each difficult point content is weighed according to the difficulty；
Correspondence generation module, the corresponding pass for generating the difficulty value and difficult point content in the content of courses
System, the difficult point difficulty in the content of courses is determined according to the correspondence.
In one aspect of the present disclosure, a kind of electronic equipment is provided, including：
Processor；And
Memory is stored with computer-readable instruction on the memory, and the computer-readable instruction is by the processing
The method according to above-mentioned any one is realized when device executes.
In one aspect of the present disclosure, a kind of computer readable storage medium is provided, computer program is stored thereon with, institute
State the method realized when computer program is executed by processor according to above-mentioned any one.
Difficult point detection method in Web-based instruction content in the exemplary embodiment of the disclosure is detected by user terminal and is used
Content of courses broadcast information and/or user behavior information of the family in carrying out content of courses learning process, broadcast according to the content
It puts information and/or user behavior information determines study difficult point content in the content of courses, determined according to default difficult point detection algorithm
Difficulty between each difficult point content weighs ratio, and weighs the difficulty value than calculating each difficult point content according to the difficulty,
The correspondence for generating the difficulty value and difficult point content in the content of courses, the teaching is determined according to the correspondence
Difficult point difficulty in content.On the one hand, content of courses difficult point is quickly obtained after analysis calculates, and passes through a variety of letters
Breath tradeoff comparison obtains the difficulty value of the current content of courses, also improves the accuracy of difficulty value calculating；On the other hand, by right
Different teachers, various teaching content difficulty value compare, utilize difficulty value realize teaching difficulty remind, the work(such as teaching method early warning
Can, greatly enhance user experience.
It should be understood that above general description and following detailed description is only exemplary and explanatory, not
The disclosure can be limited.
Description of the drawings
Its example embodiment is described in detail by referring to accompanying drawing, the above and other feature and advantage of the disclosure will become
It is more obvious.
Fig. 1 shows the flow of difficult point detection method in the Web-based instruction content according to one exemplary embodiment of the disclosure
Figure；
Fig. 2 shows acquire user's face according to the image capture device of the user terminal of one exemplary embodiment of the disclosure
The schematic diagram of characteristic information；
Fig. 3 is shown to be shown according to the content of courses comprising default difficult point identification information of one exemplary embodiment of the disclosure
The schematic diagram at interface；
Fig. 4 shows the schematic block of difficult point detection device in the Web-based instruction content according to one exemplary embodiment of the disclosure
Figure；
Fig. 5 diagrammatically illustrates the block diagram of the electronic equipment according to one exemplary embodiment of the disclosure；And
Fig. 6 diagrammatically illustrates the schematic diagram of the computer readable storage medium according to one exemplary embodiment of the disclosure.
Specific implementation mode
Example embodiment is described more fully with reference to the drawings.However, example embodiment can be real in a variety of forms
It applies, and is not understood as limited to embodiment set forth herein；On the contrary, thesing embodiments are provided so that the disclosure will be comprehensively and complete
It is whole, and the design of example embodiment is comprehensively communicated to those skilled in the art.Identical reference numeral indicates in figure
Same or similar part, thus repetition thereof will be omitted.
In addition, described feature, structure or characteristic can be incorporated in one or more implementations in any suitable manner
In example.In the following description, many details are provided to fully understand embodiment of the disclosure to provide.However,
It will be appreciated by persons skilled in the art that can be with technical solution of the disclosure without one in the specific detail or more
It is more, or other methods, constituent element, material, device, step may be used etc..In other cases, it is not shown in detail or describes
Known features, method, apparatus, realization, material or operation are to avoid fuzzy all aspects of this disclosure.
Block diagram shown in attached drawing is only functional entity, not necessarily must be corresponding with physically separate entity.
I.e., it is possible to realize these functional entitys using software form, or these are realized in the module of one or more softwares hardening
A part for functional entity or functional entity, or realized in heterogeneous networks and/or processor device and/or microcontroller device
These functional entitys.
In this exemplary embodiment, difficult point detection method in a kind of Web-based instruction content is provided firstly, can be applied to
The electronic equipments such as computer；With reference to shown in figure 1, difficult point detection method may comprise steps of in the Web-based instruction content：
Infomation detection step S110. detects user in the teaching in carrying out content of courses learning process by user terminal
Hold broadcast information and/or user behavior information；
Difficult point content determination step S120. is determined according to the content broadcast information and/or user behavior information in teaching
Study difficult point content in appearance；
Difficulty value calculates step S130. and determines that the difficulty between each difficult point content is weighed according to default difficult point detection algorithm
Than, and the difficulty value than calculating each difficult point content is weighed according to the difficulty；
Correspondence generation step S140. generates the corresponding pass of the difficulty value and difficult point content in the content of courses
System, the difficult point difficulty in the content of courses is determined according to the correspondence.
According to difficult point detection method in the Web-based instruction content in this example embodiment, on the one hand, obtained by user terminal
Each content of courses broadcast information and user behavior information at family are taken, tradeoff comparison obtains the difficulty value of the current content of courses,
Improve the accuracy of difficulty value calculating；On the other hand, compared by the difficulty value to different teachers, various teaching content, profit
Realize that teaching difficulty is reminded with difficulty value, the functions such as teaching method early warning greatly enhance user experience.
In the following, by difficult point detection method in the Web-based instruction content in this example embodiment is further detailed.
In infomation detection step S110, user can be detected by user terminal in carrying out content of courses learning process
Content of courses broadcast information and/or user behavior information.
In this example embodiment, the user terminal can be dedicated network teaching equipment, such as pc machines, Web TV
Deng can also be the portable device that user watches Web-based instruction content, such as mobile phone, pad.It is received when using user terminal user
When seeing online or offline teaching equipment, use can be collected respectively by camera, positioning device of the user terminal etc.
The content of courses broadcast information and user behavior information at family can also collect content of courses broadcast information and the user of user simultaneously
Behavioural information is used as the foundation of content of courses difficult point detection.
In this example embodiment, user is detected in the teaching in carrying out content of courses learning process by user terminal
Hold broadcast information and/or user behavior information, including：User behavior information is detected by the ancillary equipment of the user terminal；
The terminal operation information for detecting the user terminal determines the content broadcast information according to the terminal operation information.It is described
The ancillary equipment of user terminal detects user behavior information, can be the face feature information of user, feature of such as frowning and/or sighs
Feature is ceased, can also be the difficult point expressing feature of the speech recognition of user.The terminal operation information of the user terminal, Ke Yishi
The time shift operation of the files in stream media such as the video to Web-based instruction content can also be to preset difficult point mark in the content of courses
Information carry out difficulty label, can also be each user corresponding with the content of courses with hall test result etc..In addition, the terminal
Operation information can also be the difficult point identification information that user adds in the content of courses.
In difficult point content determination step S120, it can be believed according to the content of courses broadcast information and/or user behavior
Breath determines the study difficult point content in the content of courses.
In this example embodiment, the user behavior information includes the face feature information of user, and difficult point content determines
Step S120 further includes：Judge whether the face feature information of the user includes frown feature and/or sigh feature；If packet
It includes, using the currently playing part content of courses as difficult point content.
When user watches Web-based instruction content, the facial characteristics of user is acquired and analyzed in real time by the user terminal
Information can effectively differentiate the corresponding difficult point content of user behavior information, as shown in Fig. 2, user is watching certain Web-based instruction
When video content, user's face characteristic information is acquired by the image capture device of user terminal, and analyze the face
Characteristic information finds that user currently comprising frown feature and/or sigh feature, then can tentatively judge in currently playing teaching
It is difficult point to hold.Further, there is phase when learning the same above-mentioned content of courses as the user of larger proportion in sampling number
The face feature information of same frown feature and/or sigh feature, the then content of courses played before can determining are difficult point.
In this example embodiment, the terminal operation information includes pausing operation in the content of courses, repeats to broadcast
Put operation and playback operation at least one of, the terminal operation information include pausing operation in the content of courses,
When repeating playing at least one of operation, forwarding operation and playback operation, difficult point content determination step S120, further includes first
Detect any one or more sub-steps in sub-step S1201, the second detection sub-step S1202, third detection sub-step S1203
Suddenly：
First detection sub-step S1201：The pausing operation in the content of courses is detected, if the pause duration detected exists
Default pause duration range, using the corresponding part content of courses of pausing operation as difficult point content；
Second detection sub-step S1202：It detects in the content of courses and repeats playing operation, if the repetition detected is broadcast
It puts number of operations and is more than default number of repetition, the corresponding part content of courses of operation will be repeated playing as difficult point content；
Third detects sub-step S1203：The playback operation in the content of courses is detected, if the playback operation detected
Number is more than default playback number, using the corresponding part content of courses of playback operation as difficult point content.
General user encounters difficult point and has returned pause, repeatedly certain segment, playback etc. when watching the learning network content of courses
Terminal operation information, count the pause duration and/or user number, number of repetition and/or user number, play back number and/
Or user number, it can effectively judge the currently playing content of courses for difficult point.At the same time it can also by Web-based instruction content
Forwarding operation is defined as the difficult point negative correlation index of terminal operation information.Further, in the same content of courses as there are two or
More than two difficult points can sort difficult point according to the degree of above-mentioned terminal operation information, study for reference.
In addition, when terminal operation information further includes the difficult point identification information that user adds in the content of courses, in difficult point
Hold and determine step S120, can also include：The difficult point identification information that user adds in the content of courses is collected, by addition difficult point mark
The part content of courses of information is as difficult point content.As shown in figure 3, for user viewing learn certain Web-based instruction content when, needle
Include preset difficult point identification information in the display interface of the content of courses, user can learn to different knowledge points
After the Web-based instruction content, according to the experience of study of oneself, the user terminal is operated, difficulty is carried out to the content of courses
Label, the difficulty identification information of all users of comprehensive analysis, so that it may to judge whether the corresponding Web-based instruction content is difficult
Point content.
In this example embodiment, the content of courses broadcast information and/or user behavior information and institute can also be searched
A unrelated information of the content of courses is stated, excludes abnormal content of courses broadcast information and/or user behavior information, and will currently teach
Content is learned to be determined as learning difficult point content.
In difficulty value calculates step S130, it can be determined according to default difficult point detection algorithm between each difficult point content
Difficulty weighs ratio, and weighs the difficulty value than calculating each difficult point content according to the difficulty.
In this example embodiment, the default difficult point detection algorithm includes that method of substitution is compared in tradeoff.It chooses respectively first more
Two difficult point contents in a difficult point content, and its gain and loss is weighed to described two difficult point contents, it provides each at current iteration point
The tradeoff ratio of difficult point content two-by-two.Then analysis and solution, by solve the nonlinear programming problem with linear restriction F-W methods,
Tradeoff is made than substituting to the marginal replacement rate of wherein implicit evaluation function, problem is classified as to solve a linear programming problem, is acquired
Following iteration point.It carries out repeatedly, the solution obtained from is exactly to be weighed than calculating each difficult point content according to the difficulty
Difficulty value.
In correspondence generation step S140, the difficulty value and difficult point content in the content of courses can be generated
Correspondence determines the difficult point difficulty in the content of courses according to the correspondence.
In this example embodiment, each institute is determined according to content of courses reproduction time or the total learning time stamp of user respectively
The correspondence of difficulty value and difficult point content in the content of courses is stated, and the content of courses is determined according to the correspondence
In difficult point difficulty.
In this example embodiment, the method further includes：All users are counted to carry out in content of courses learning process
Difficult point content and corresponding difficulty value；The whole of the content of courses is determined according to all difficult point contents and corresponding difficulty value
Body difficulty information.The method can both be used for counting each user carry out difficult point content in content of courses learning process and
Corresponding difficulty value, can also be directed to the same content of courses and count all users and carry out difficulty in the content of courses learning process
Point content and corresponding difficulty value, and determine the whole of the content of courses according to all difficult point contents and corresponding difficulty value
Body difficulty information.Further, the display interface that the content of courses can also be played in the user terminal, to the difficulty content
It is reminded.
In this example embodiment, the method further includes：It counts in the difficult point in multiple versions of the same content of courses
Appearance and corresponding difficulty value；Difficult point content in the multiple versions of comprehensive analysis and corresponding difficulty value, determine difficulty value
More than the abnormal difficulty content of default difficulty threshold value；Adjustment prompt message is sent out according to abnormal difficulty content, to prompt to having
The content of courses of abnormal difficulty content is adjusted.Such as in the same content of courses of different teachers ' teachings, because of the content of courses
It is identical, so the distribution of knowledge point and difficult point also should be roughly the same, the difficulty Distribution value of different teachers ' teaching contents is detected, if
Difficulty value of certain teacher in some knowledge point is significantly greater than remaining teacher, it is determined that the content of courses of the teacher is different
Normal difficulty content, adjustment prompt message is sent out to the teacher, to prompt to carry out the content of courses with abnormal difficulty content
Adjustment.
In this example embodiment, the method further includes：According in difficult point in the difficulty value and the content of courses
Instructional testing topic is generated for user in the correspondence of appearance.According to the distribution of the different difficult points, difficulty content of different user, it is
The user customizes the individualized teaching test question of different content, is more advantageous to promotion teaching level.
It should be noted that although describing each step of method in the disclosure with particular order in the accompanying drawings,
This, which does not require that or implies, to execute these steps according to the particular order, or has to carry out the step shown in whole
It could realize desired result.Additional or alternative, it is convenient to omit multiple steps are merged into a step and held by certain steps
Row, and/or a step is decomposed into execution of multiple steps etc..
In addition, in this exemplary embodiment, difficult point detection device in a kind of Web-based instruction content is additionally provided.With reference to Fig. 4
Shown, difficult point detection device 400 may include in the Web-based instruction content：Information detecting module 410, difficult point determining module 420,
Difficulty value computing module 430 and correspondence generation module 440.Wherein：
Information detecting module 410, for detecting religion of the user in carrying out content of courses learning process by user terminal
Learn content broadcast information and/or user behavior information；
Difficult point determining module 420, for determining the content of courses according to the content broadcast information and/or user behavior information
In study difficult point content；
Difficulty value computing module 430, for determining the difficulty between each difficult point content according to default difficult point detection algorithm
Weigh ratio, and the difficulty value than calculating each difficult point content is weighed according to the difficulty；
Correspondence generation module 440, for generate the difficulty value in the content of courses difficult point content it is corresponding
Relationship determines the difficult point difficulty in the content of courses according to the correspondence.
Among the above in each Web-based instruction content detail of difficult point detection device module in corresponding audio paragraph
It is described in detail in recognition methods, therefore details are not described herein again.
If it should be noted that although being referred to difficult point detection device 400 in Web-based instruction content in above-detailed
Dry module or unit, but this division is not enforceable.In fact, according to embodiment of the present disclosure, above description
The feature and function of two or more modules either unit can be embodied in a module or unit.Conversely, above
Either the feature and function of unit can be further divided into and embodied by multiple modules or unit one module of description.
In addition, in an exemplary embodiment of the disclosure, additionally providing a kind of electronic equipment that can realize the above method.
Person of ordinary skill in the field it is understood that various aspects of the invention can be implemented as system, method or
Program product.Therefore, various aspects of the invention can be embodied in the following forms, i.e.,：Complete hardware embodiment, completely
Software implementation (including firmware, microcode etc.) or hardware and software in terms of combine embodiment, may be collectively referred to as here
Circuit, " module " or " system ".
The electronic equipment 500 of this embodiment according to the present invention is described referring to Fig. 5.The electronics that Fig. 5 is shown is set
Standby 500 be only an example, should not bring any restrictions to the function and use scope of the embodiment of the present invention.
As shown in figure 5, electronic equipment 500 is showed in the form of universal computing device.The component of electronic equipment 500 can wrap
It includes but is not limited to：Above-mentioned at least one processing unit 510, above-mentioned at least one storage unit 520, connection different system component
The bus 530 of (including storage unit 520 and processing unit 510), display unit 540.
Wherein, the storage unit has program stored therein code, and said program code can be held by the processing unit 510
Row so that the processing unit 510 executes various according to the present invention described in above-mentioned " illustrative methods " part of this specification
The step of exemplary embodiment.For example, the processing unit 510 can execute infomation detection step S110 as shown in Figure 1
To correspondence generation step S140.
Storage unit 520 may include the readable medium of volatile memory cell form, such as Random Access Storage Unit
(RAM) 5201 and/or cache memory unit 5202, it can further include read-only memory unit (ROM) 5203.
Storage unit 520 can also include program/utility with one group of (at least one) program module 5205
5204, such program module 5205 includes but not limited to：Operating system, one or more application program, other program moulds
Block and program data may include the realization of network environment in each or certain combination in these examples.
Bus 530 can be to indicate one or more in a few class bus structures, including storage unit bus or storage
Cell controller, peripheral bus, graphics acceleration port, processing unit use the arbitrary bus structures in a variety of bus structures
Local bus.
Electronic equipment 500 can also be with one or more external equipments 570 (such as keyboard, sensing equipment, bluetooth equipment
Deng) communication, can also be enabled a user to one or more equipment interact with the electronic equipment 500 communicate, and/or with make
Any equipment that the electronic equipment 500 can be communicated with one or more of the other computing device (such as router, modulation /demodulation
Device etc.) communication.This communication can be carried out by input/output (I/O) interface 550.Also, electronic equipment 500 can be with
By network adapter 560 and one or more network (such as LAN (LAN), wide area network (WAN) and/or public network,
Such as internet) communication.As shown, network adapter 560 is communicated by bus 530 with other modules of electronic equipment 500.
It should be understood that although not shown in the drawings, other hardware and/or software module can not used in conjunction with electronic equipment 500, including but not
It is limited to：Microcode, device driver, redundant processing unit, external disk drive array, RAID system, tape drive and
Data backup storage system etc..
By the description of above embodiment, those skilled in the art is it can be readily appreciated that example embodiment described herein
It can also be realized in such a way that software is in conjunction with necessary hardware by software realization.Therefore, implemented according to the disclosure
The technical solution of example can be expressed in the form of software products, which can be stored in a non-volatile memories
In medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) or on network, including some instructions are so that a computing device (can
To be personal computer, server, terminal installation or network equipment etc.) it executes according to the method for the embodiment of the present disclosure.
In an exemplary embodiment of the disclosure, a kind of computer readable storage medium is additionally provided, energy is stored thereon with
Enough realize the program product of this specification above method.In some possible embodiments, various aspects of the invention can be with
It is embodied as a kind of form of program product comprising program code, it is described when described program product is run on the terminal device
Program code be used for make the terminal device execute described in above-mentioned " illustrative methods " part of this specification according to the present invention
The step of various exemplary embodiments.
Refering to what is shown in Fig. 6, the program product 600 according to an embodiment of the invention for realizing the above method is described,
It may be used portable compact disc read only memory (CD-ROM) and includes program code, and can in terminal device, such as
It is run on PC.However, the program product of the present invention is without being limited thereto, in this document, readable storage medium storing program for executing can be appointed
What include or storage program tangible medium, the program can be commanded execution system, device either device use or and its
It is used in combination.
The arbitrary combination of one or more readable mediums may be used in described program product.Readable medium can be readable letter
Number medium or readable storage medium storing program for executing.Readable storage medium storing program for executing for example can be but be not limited to electricity, magnetic, optical, electromagnetic, infrared ray or
System, device or the device of semiconductor, or the arbitrary above combination.The more specific example of readable storage medium storing program for executing is (non exhaustive
List) include：It is electrical connection, portable disc, hard disk, random access memory (RAM) with one or more conducting wires, read-only
Memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read only memory
(CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.
Computer-readable signal media may include in a base band or as the data-signal that a carrier wave part is propagated,
In carry readable program code.The data-signal of this propagation may be used diversified forms, including but not limited to electromagnetic signal,
Optical signal or above-mentioned any appropriate combination.Readable signal medium can also be any readable Jie other than readable storage medium storing program for executing
Matter, which can send, propagate either transmission for used by instruction execution system, device or device or and its
The program of combined use.
The program code for including on readable medium can transmit with any suitable medium, including but not limited to wirelessly, have
Line, optical cable, RF etc. or above-mentioned any appropriate combination.
It can be write with any combination of one or more programming languages for executing the program that operates of the present invention
Code, described program design language include object oriented program language-Java, C++ etc., further include conventional
Procedural programming language-such as " C " language or similar programming language.Program code can be fully in user
It executes on computing device, partly execute on a user device, being executed as an independent software package, partly in user's calculating
Upper side point is executed or is executed in remote computing device or server completely on a remote computing.It is being related to far
In the situation of journey computing device, remote computing device can pass through the network of any kind, including LAN (LAN) or wide area network
(WAN), it is connected to user calculating equipment, or, it may be connected to external computing device (such as utilize ISP
To be connected by internet).
In addition, above-mentioned attached drawing is only the schematic theory of the processing included by method according to an exemplary embodiment of the present invention
It is bright, rather than limit purpose.It can be readily appreciated that the time that above-mentioned processing shown in the drawings did not indicated or limited these processing is suitable
Sequence.In addition, being also easy to understand, these processing for example can be executed either synchronously or asynchronously in multiple modules.
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to its of the disclosure
His embodiment.This application is intended to cover any variations, uses, or adaptations of the disclosure, these modifications, purposes or
Adaptive change follow the general principles of this disclosure and include the undocumented common knowledge in the art of the disclosure or
Conventional techniques.The description and examples are only to be considered as illustrative, and the true scope and spirit of the disclosure are by claim
It points out.
It should be understood that the present disclosure is not limited to the precise structures that have been described above and shown in the drawings, and
And various modifications and changes may be made without departing from the scope thereof.The scope of the present disclosure is only limited by the attached claims.
Claims (12)
1. difficult point detection method in a kind of Web-based instruction content, which is characterized in that the described method comprises the following steps：
Infomation detection step：The content of courses of the user in carrying out content of courses learning process, which is detected, by user terminal plays letter
Breath and/or user behavior information；
Difficult point content determination step：In the content of courses is determined according to the content broadcast information and/or user behavior information
Practise difficult point content；
Difficulty value calculates step：Determine that the difficulty between each difficult point content weighs ratio, and root according to default difficult point detection algorithm
Weigh the difficulty value than calculating each difficult point content according to the difficulty；
Correspondence generation step：The correspondence for generating the difficulty value and difficult point content in the content of courses, according to institute
It states correspondence and determines difficult point difficulty in the content of courses.
2. the method as described in claim 1, which is characterized in that described information detecting step, including：
User behavior information is detected by the ancillary equipment of the user terminal；
The terminal operation information for detecting the user terminal determines the content broadcast information according to the terminal operation information.
3. such as claims 1 or 2 any one of them method, which is characterized in that the user behavior information includes the face of user
Portion's characteristic information, the difficult point content determination step, including：
Judge whether the face feature information of the user includes frown feature and/or sigh feature；
If including using the currently playing part content of courses as difficult point content.
4. method as claimed in claim 2, which is characterized in that the terminal operation information includes temporary in the content of courses
Stop operating, repeat playing operation, forwarding operation and playback operation at least one of, the difficult point content determination step, including
Any one or more sub-steps below：
First detection sub-step：The pausing operation in the content of courses is detected, if the pause duration detected is in default pause
Duration range, using the corresponding part content of courses of pausing operation as difficult point content；
Second detection sub-step：It detects in the content of courses and repeats playing operation, if what is detected repeats playing operation time
Number is more than default number of repetition, will repeat playing the corresponding part content of courses of operation as difficult point content；
Third detects sub-step：The playback operation in the content of courses is detected, if the playback operation number detected is more than in advance
If number is played back, using the corresponding part content of courses of playback operation as difficult point content.
5. method as claimed in claim 2, which is characterized in that the terminal operation information includes that user adds in the content of courses
The difficult point identification information added, the difficult point content determination step, including：
Collect the content of courses in user add difficult point identification information, using add difficult point identification information the part content of courses as
Difficult point content.
6. the method as described in claim 1, which is characterized in that the default difficult point detection algorithm includes that method of substitution is compared in tradeoff.
7. the method as described in claim 1, which is characterized in that the method further includes：
It counts all users and carries out the difficult point content in content of courses learning process and corresponding difficulty value；
The overall difficulty information of the content of courses is determined according to all difficult point contents and corresponding difficulty value.
8. the method for claim 7, which is characterized in that the method further includes：
Count the difficult point content in multiple versions of the same content of courses and corresponding difficulty value；
Difficult point content in the multiple versions of comprehensive analysis and corresponding difficulty value determine that difficulty value is more than default difficulty threshold value
Abnormal difficulty content；
Adjustment prompt message is sent out according to abnormal difficulty content, the content of courses with abnormal difficulty content is adjusted with prompt
It is whole.
9. the method as described in claim 1, which is characterized in that the method further includes：
According to the correspondence of difficult point content in the difficulty value and the content of courses, instructional testing topic is generated for user.
10. difficult point detection device in a kind of Web-based instruction content, which is characterized in that described device includes：
Information detecting module is broadcast for detecting the content of courses of the user in carrying out content of courses learning process by user terminal
Put information and/or user behavior information；
Difficult point determining module, for determining in the content of courses according to the content broadcast information and/or user behavior information
Practise difficult point content；
Difficulty value computing module, for determining that the difficulty between each difficult point content weighs ratio according to default difficult point detection algorithm,
And the difficulty value than calculating each difficult point content is weighed according to the difficulty；
Correspondence generation module, the correspondence for generating the difficulty value and difficult point content in the content of courses, root
The difficult point difficulty in the content of courses is determined according to the correspondence.
11. a kind of electronic equipment, which is characterized in that including
Processor；And
Memory is stored with computer-readable instruction on the memory, and the computer-readable instruction is held by the processor
Method according to any one of claim 1 to 9 is realized when row.
12. a kind of computer readable storage medium, is stored thereon with computer program, the computer program is executed by processor
Shi Shixian is according to any one of claim 1 to 9 the method.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810198404.4A CN108717673A (en) | 2018-03-12 | 2018-03-12 | Difficult point detection method and device in Web-based instruction content |
| PCT/CN2018/092774 WO2019174150A1 (en) | 2018-03-12 | 2018-06-26 | Method and apparatus for detecting difficult points in network teaching contents |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810198404.4A CN108717673A (en) | 2018-03-12 | 2018-03-12 | Difficult point detection method and device in Web-based instruction content |
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| WO (1) | WO2019174150A1 (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109686134A (en) * | 2019-02-18 | 2019-04-26 | 重庆工业职业技术学院 | Accounting Course method and system |
| CN110111611A (en) * | 2019-05-13 | 2019-08-09 | 网易（杭州）网络有限公司 | Information processing method, device, medium and electronic equipment |
| CN110675674A (en) * | 2019-10-11 | 2020-01-10 | 广州千睿信息科技有限公司 | Online education method and online education platform based on big data analysis |
| CN112687138A (en) * | 2020-12-30 | 2021-04-20 | 广州仁知初教育科技有限公司 | Interactive teaching platform based on Internet of things |
| CN116757890A (en) * | 2023-08-21 | 2023-09-15 | 北京天平地成信息技术服务有限公司 | VR-based on-line virtual education method, system, device, and readable storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102945624A (en) * | 2012-11-14 | 2013-02-27 | 南京航空航天大学 | Intelligent video teaching system based on cloud calculation model and expression information feedback |
| CN104064073A (en) * | 2014-06-14 | 2014-09-24 | 合肥迅大信息技术有限公司 | Method for designing teaching courseware based on augmented reality technology |
| CN104540001A (en) * | 2015-01-08 | 2015-04-22 | 厦门大学 | Audio and video synchronized driving method used for online learning |
| CN106534901A (en) * | 2016-11-23 | 2017-03-22 | 广东小天才科技有限公司 | Method for pushing teaching resources and user terminal |
| CN106559709A (en) * | 2016-11-23 | 2017-04-05 | 广东小天才科技有限公司 | Learning difficulty analysis method and server |
| CN107203953A (en) * | 2017-07-14 | 2017-09-26 | 深圳极速汉语网络教育有限公司 | It is a kind of based on internet, Expression Recognition and the tutoring system of speech recognition and its implementation |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10872535B2 (en) * | 2009-07-24 | 2020-12-22 | Tutor Group Limited | Facilitating facial recognition, augmented reality, and virtual reality in online teaching groups |
| CN103714499A (en) * | 2013-12-31 | 2014-04-09 | 山东中创软件工程股份有限公司 | Educational information processing system and implementing method thereof |
| CN104299178A (en) * | 2014-07-11 | 2015-01-21 | 北京神州智联科技有限公司 | Facial-recognition-based network teaching method and system |
-
2018
- 2018-03-12 CN CN201810198404.4A patent/CN108717673A/en active Pending
- 2018-06-26 WO PCT/CN2018/092774 patent/WO2019174150A1/en active Application Filing
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102945624A (en) * | 2012-11-14 | 2013-02-27 | 南京航空航天大学 | Intelligent video teaching system based on cloud calculation model and expression information feedback |
| CN104064073A (en) * | 2014-06-14 | 2014-09-24 | 合肥迅大信息技术有限公司 | Method for designing teaching courseware based on augmented reality technology |
| CN104540001A (en) * | 2015-01-08 | 2015-04-22 | 厦门大学 | Audio and video synchronized driving method used for online learning |
| CN106534901A (en) * | 2016-11-23 | 2017-03-22 | 广东小天才科技有限公司 | Method for pushing teaching resources and user terminal |
| CN106559709A (en) * | 2016-11-23 | 2017-04-05 | 广东小天才科技有限公司 | Learning difficulty analysis method and server |
| CN107203953A (en) * | 2017-07-14 | 2017-09-26 | 深圳极速汉语网络教育有限公司 | It is a kind of based on internet, Expression Recognition and the tutoring system of speech recognition and its implementation |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109686134A (en) * | 2019-02-18 | 2019-04-26 | 重庆工业职业技术学院 | Accounting Course method and system |
| CN110111611A (en) * | 2019-05-13 | 2019-08-09 | 网易（杭州）网络有限公司 | Information processing method, device, medium and electronic equipment |
| CN110111611B (en) * | 2019-05-13 | 2022-07-22 | 网易（杭州）网络有限公司 | Information processing method, device, medium and electronic equipment |
| CN110675674A (en) * | 2019-10-11 | 2020-01-10 | 广州千睿信息科技有限公司 | Online education method and online education platform based on big data analysis |
| CN112687138A (en) * | 2020-12-30 | 2021-04-20 | 广州仁知初教育科技有限公司 | Interactive teaching platform based on Internet of things |
| CN116757890A (en) * | 2023-08-21 | 2023-09-15 | 北京天平地成信息技术服务有限公司 | VR-based on-line virtual education method, system, device, and readable storage medium |
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| Publication number | Publication date |
|---|---|
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