CN108564495A - Web-based instruction attention rate appraisal procedure and device - Google Patents
Web-based instruction attention rate appraisal procedure and device Download PDFInfo
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
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- G—PHYSICS
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- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
- G09B7/02—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
Abstract
The disclosure is directed to a kind of Web-based instruction attention rate appraisal procedure, device, electronic equipment and storage mediums.This method includes：The attention rate feature for the user for including behavioural characteristic and state feature is obtained by user terminal, default attention rate feature gear and weight coefficient, according to default assessment algorithm, the stepping of gear assesses information where obtaining the attention rate feature according to the attention rate feature and weight coefficient, and information is assessed according to the stepping of all attention rate features and determines attention rate information, obtain the current content of courses, generate the correspondence of the attention rate information and the content of courses, attention rate of the user for the content of courses is determined according to the attention rate information.The disclosure may be implemented more comprehensively, accurately to assess Web-based instruction attention rate.
Description
Technical field
This disclosure relates to field of computer technology, in particular to a kind of Web-based instruction attention rate appraisal procedure, dress
It sets, electronic equipment and computer readable storage medium.
Background technology
In teaching, attention rate of the student to the content of courses is accurately quickly detected, teacher can both have been reminded to close height
The emphasis of the note degree content of courses is imparted knowledge to students, and student can be promoted to learn different attention rate knowledge points emphatically, plays half work(of thing
Teaching efficiency again.
Usually all it is the study shape for relying on each student of personal experience's actual observation by teacher however, in field research
State, to realize detection of the student to the attention rate of the content of courses, what such method had both occupied the teaching energy of teacher, also not
Easily it is applicable in occasions such as the Web-based instructions.
In the prior art, detect this theme around student's attention rate, there are also patent application carried out it is beneficial
It attempts, such as：
Application No. is the patent applications of CN201110166693.8 to disclose a kind of side of the region attention rate of quantization object
Method, including：Obtain human eye sight direction；Record the direction of visual lines each region of the object residence time；And
It assigns the region of residence time length to high attention rate weight, assigns residence time short region to low attention rate weight.Due to this
Application realizes the assessment to attention rate mainly by way of analyzing human eye stay time, the reaction religion that can not be integrated
Various attention rate indexs in content are learned, comprehensively content of courses attention rate can not be assessed.
Application No. is the patent application of CN201110166693.8 disclose it is a kind of evaluation user's attention rate method and set
Standby, the method for evaluation user's attention rate includes：Detect the direction of visual lines of user；Determine the screen corresponding to detected direction of visual lines
Region on curtain；It obtains user and is directed to measurement of the expression in identified region in each predetermined mood；And according to being obtained
The measurement obtained generates attention rate of the user to identified region.Since this application mainly realizes feelings on direction by user
The measurement of thread, to realize the assessment to attention rate, various attention rate indexs, Bu Nengquan in the reaction content of courses that can not be integrated
Face is assessed by content of courses attention rate.
A kind of display screen attention rate statistical method is disclosed application No. is the patent application of CN201110166693.8 and is
System sends wireless access broadcast singal by wireless access point device；When the signal strength distance for entering wireless access point device
User terminal in range receives wireless access broadcast singal and accesses wireless access point device, passes through wireless access point device
Obtain the information such as unique mark and turn-on time information of the user terminal of access；By wireless access point device by access
The information of user terminal is supplied to server；And it is shown according to the Information Statistics target of the user terminal of access by server
The attention rate of screen.Since this application is realized mainly by way of counting and connecting number of devices in wireless access point to display
Shield the statistics of attention rate, the method can be used only in the occasion that user more concentrates, and is not appropriate for Web-based instruction user and relatively disperses
The case where.
In the prior art, the processing about the detection of Web-based instruction middle school student's attention rate there is problems：
1, it is mainly realized by way of to the folk prescriptions surface analysis such as human eye stay time or mood in existing way
Assessment to attention rate, various attention rate indexs in the reaction content of courses that cannot be integrated, it is inadequate that attention rate assesses accuracy；
2, stepping assessment can not be carried out to attention rate, just cannot provides essence to the user according to the attention rate after stepping accordingly
Accurate prompt or service；
3, due to can not achieve being associated with for attention rate and the content of courses in the prior art, when evaluation is relatively low to attention rate,
It is only capable of realizing the prompt facility single to user, also can not pointedly analyze the corresponding content of courses of attention rate, and to concern
The lower content of courses is spent to optimize, carry out study for reference or reward etc. to the higher content of courses of attention rate.
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 is designed to provide a kind of Web-based instruction attention rate appraisal procedure, device, electronic equipment and calculating
Machine readable storage medium storing program for executing, it is intended to which attention rate assessment accuracy is inadequate in the prior art for solution, cannot especially in teaching process
The problem of overall merit user's attention rate.The improvement of the present invention includes the following contents：
By user terminal obtain include behavioural characteristic and state feature the attention rate feature of user after, preset pay close attention to
Feature gear and weight coefficient are spent, shelves where obtaining the attention rate feature according to the attention rate feature and weight coefficient
The stepping of position assesses information, and assesses information according to the stepping of all attention rate features and determine attention rate information, obtains current
The content of courses generates the correspondence of the attention rate information and the content of courses, and institute is determined according to the attention rate information
State attention rate of the user for the content of courses.Since more comprehensive attention rate feature can be obtained by user terminal,
Such as：Face orientation, eyes focusing, the content of courses dispaly state of user terminal, volume status, operation information etc. feature,
Therefore the comprehensive evaluation of attention rate can be obtained after analysis calculates, greatly improves attention rate assessment accuracy.
By carrying out stepping assessment to attention rate, it can also be provided to the user according to the attention rate after stepping and accurately be prompted
Or service；And after being associated attention rate and the content of courses, when evaluation is relatively low to attention rate, by different religions
Teacher, various teaching content attention rate compare, utilize attention rate realize teaching concern remind, the functions such as teaching method early warning, pole
Big enhances user experience.
The attention rate of the content of courses is indicated using attention rate information, it can be according to the attention rate information to the religion
The attention rate sequence of content different piece is learned, and the commending contents by the attention rate higher than default concern angle value give user's emphasis
Study.At the same time it can also which timer is arranged, start timing, realization pair before the preset time that user watches the instructional video
The perhaps prompting function of interest content in the high attention rate of user.
According to one aspect of the disclosure, a kind of Web-based instruction attention rate appraisal procedure is provided, including：
Attention rate feature extraction step：The attention rate feature of user, the attention rate feature packet are obtained by user terminal
Include behavioural characteristic and state feature；
Gear and coefficient preset step：Default attention rate feature gear and weight coefficient；
Assess information acquiring step：According to default assessment algorithm, obtained according to the attention rate feature and weight coefficient
The stepping of gear assesses information where the attention rate feature；
Attention rate information determining step：Information, which is assessed, according to the stepping of all attention rate features determines attention rate information；
Correspondence generation step：The current content of courses is obtained, the attention rate information and the content of courses are generated
Correspondence, attention rate of the user for the content of courses is determined according to the attention rate information.
In a kind of exemplary embodiment of the disclosure, the attention rate feature extraction step, including with next or more
Sub-steps：
Fisrt feature obtains sub-step：The state feature of user is obtained by the ancillary equipment of the user terminal, it is described
State feature includes the facial characteristics and eyes focus feature of user；
Second feature obtains sub-step：The behavioural characteristic of user is obtained by the ancillary equipment of the user terminal；
Third feature obtains sub-step：The terminal operation information for obtaining the user terminal is believed according to the terminal operation
Breath determines the behavioural characteristic of user.
In a kind of exemplary embodiment of the disclosure, in the assessment information acquiring step, default assessment algorithm includes：
Wherein, diInformation is assessed for stepping, Zib is the attention rate feature, and Zis and Ziy is respectively that stepping information is minimum
Value and maximum value, A are the preset weight coefficient, and B is the attention rate feature gear shift value；
In the attention rate information determining step, the calculation of attention rate information includes：
Attention rate information
In a kind of exemplary embodiment of the disclosure, the default appraisal procedure is efficiency coefficient method or multi-objective Genetic
Assessment algorithm.
In a kind of exemplary embodiment of the disclosure, after correspondence generation step, the method further includes：
Count attention rate information of all users to the content of courses；
The overall evaluation information of the content of courses is determined according to the attention rate information of all users.
In a kind of exemplary embodiment of the disclosure, after overall evaluation information determining step, the method further includes：
Attention rate information is met into the content of courses of preset condition as interest content；
Timer is set, and after the timing length for reaching the timer, output prompt plays the prompt letter of interest content
Breath；Wherein, it is the timing length of timer setting before playing the interest content.
In a kind of exemplary embodiment of the disclosure, the teaching is determined according to the attention rate information of all users
After the overall evaluation information of content, the method further includes：
It is scored the corresponding classroom teacher of the content of courses according to the overall evaluation information；And/or
It is scored the content of courses according to the overall evaluation information, and adjusts the content of courses.
It is corresponding to the content of courses according to the overall evaluation information in a kind of exemplary embodiment of the disclosure
After teacher's scoring, the method further includes：
If the classroom teacher of the content of courses is multiple, the teaching scoring of each classroom teacher is counted respectively；
Descending arrangement is carried out to the teaching scoring of each classroom teacher；
The teaching scoring of each classroom teacher after descending is arranged and the URL of the content of courses corresponding with classroom teacher
Generate scoring list；
Export the scoring list；
After detecting that user triggers the URL of the corresponding content of courses according to the scoring list, correspondence is provided to the user
The content of courses of classroom teacher.
In a kind of exemplary embodiment of the disclosure, the method further includes：
According to the attention rate information and the content of courses, instructional testing topic is generated for user.
In one aspect of the present disclosure, a kind of Web-based instruction attention rate apparatus for evaluating is provided, including：
Feature acquisition module, the attention rate feature for obtaining user by user terminal, the attention rate feature include
Behavioural characteristic and state feature；
Setup module, for presetting attention rate feature gear and weight coefficient；
Information evaluation module, for according to default assessment algorithm, being obtained according to the attention rate feature and weight coefficient
The stepping of gear assesses information where the attention rate feature；
Information determination module determines attention rate information for assessing information according to the stepping of all attention rate features；
Information generating module generates the attention rate information and the content of courses for obtaining the current content of courses
Correspondence, attention rate of the user for the content of courses is determined according to the attention rate information.
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.
Web-based instruction attention rate appraisal procedure in the exemplary embodiment of the disclosure includes row by user terminal acquisition
It is characterized and the attention rate feature of the user of state feature, presets attention rate feature gear and weight coefficient, according to default
Assessment algorithm, the stepping of gear assesses letter where obtaining the attention rate feature according to the attention rate feature and weight coefficient
Breath, and information is assessed according to the stepping of all attention rate features and determines attention rate information, the current content of courses is obtained, institute is generated
The correspondence for stating attention rate information and the content of courses determines the user for the religion according to the attention rate information
Learn the attention rate of content.On the one hand, more comprehensive attention rate feature is obtained by user terminal, and is obtained after analysis calculates
The comprehensive evaluation of attention rate greatly improves attention rate assessment accuracy；On the other hand, it is commented by carrying out stepping to attention rate
Estimate, can be provided to the user according to the attention rate after stepping and accurately prompt or service；In another aspect, by by attention rate with
The association of the content of courses is compared when evaluation is relatively low to attention rate by the attention rate to different teachers, various teaching content,
Realize that teaching concern is reminded using attention rate, the functions such as teaching method early warning 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 chart of the Web-based instruction attention rate appraisal procedure according to one exemplary embodiment of the disclosure；
Fig. 2A -2B show the Web-based instruction for including high attention rate prompting message according to one exemplary embodiment of the disclosure
The schematic diagram of video；
Fig. 3 A-3C show the signal of the Web-based instruction attention rate information ranking list according to one exemplary embodiment of the disclosure
Figure；
Fig. 4 shows the schematic block diagram of the Web-based instruction attention rate apparatus for evaluating according to one exemplary embodiment of the disclosure；
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, a kind of Web-based instruction attention rate appraisal procedure is provided firstly, can be applied to calculate
The electronic equipments such as machine；With reference to shown in figure 1, which may comprise steps of：
Attention rate feature extraction step S110, the attention rate feature of user is obtained by user terminal, and the attention rate is special
Sign includes behavioural characteristic and state feature；
Gear and coefficient preset step S120, preset attention rate feature gear and weight coefficient；
Information acquiring step S130 is assessed, according to default assessment algorithm, according to the attention rate feature and weight coefficient
The stepping assessment information of gear where obtaining the attention rate feature；
Attention rate information determining step S140 assesses information according to the stepping of all attention rate features and determines that attention rate is believed
Breath；
Correspondence generation step S150, obtains the current content of courses, generates the attention rate information and the teaching
The correspondence of content determines attention rate of the user for the content of courses according to the attention rate information.
According to the Web-based instruction attention rate appraisal procedure in this example embodiment, on the one hand, by user terminal obtain compared with
For comprehensive attention rate feature, and the comprehensive evaluation of attention rate is obtained after analysis calculates, it is accurate to greatly improve attention rate assessment
Exactness；On the other hand, it by carrying out stepping assessment to attention rate, can be provided to the user precisely according to the attention rate after stepping
Prompt or service；In another aspect, by being associated with attention rate and the content of courses, when evaluation is relatively low to attention rate, pass through
The attention rate of different teachers, various teaching content are compared, realize that teaching concern is reminded using attention rate, teaching method early warning etc.
Function greatly enhances user experience.
In the following, by the Web-based instruction attention rate appraisal procedure in this example embodiment is further detailed.
In attention rate feature extraction step S110, the attention rate feature of user can be obtained by user terminal, it is described
Attention rate feature includes behavioural characteristic and state feature.
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, it can collect user's by camera, positioning device of the user terminal etc.
Attention rate feature is used as the foundation of attention rate assessment.The attention rate feature can be the behavioural characteristic of user, such as user
The information such as the content of courses dispaly state of terminal, reproduction time, can also be state feature, such as the facial characteristics of user.
In this example embodiment, the attention rate of user is obtained in attention rate feature extraction step S110 by user terminal
Feature may include that fisrt feature obtains sub-step S1101, second feature obtains sub-step S1102, third feature obtains sub-step
One or more of rapid S1103 sub-steps：
Fisrt feature obtains sub-step S1101：The state feature of user is obtained by the ancillary equipment of the user terminal,
The state feature includes the facial characteristics and eyes focus feature of user；
Second feature obtains sub-step S1102：The behavioural characteristic of user is obtained by the ancillary equipment of the user terminal；
Third feature obtains sub-step S1103：The terminal operation information for obtaining the user terminal is grasped according to the terminal
The behavioural characteristic of user is determined as information.
The camera that the facial characteristics of the user can be carried by the user terminal obtains, can also be use with
The assistant images collecting device of user terminal communication obtains, further, in order to improve the acquisition user face
The accuracy of feature can have multiple images collecting device or cooperation range sensor to use.The facial characteristics includes face
Direction, eyes focus feature etc..The behavioural characteristic for the user that the user terminal obtains can be the content of courses of user terminal
Dispaly state, can be user whether in the user terminal will teaching page layout switch to current content of courses details page,
It can also be whether user terminal current volume is significantly greater than environmental volume etc..User's attention rate feature further includes the use
The terminal operation information of family terminal, as user whether on the user terminal watch the Web-based instruction content while watch it is other
Non- teaching related content etc..According to above-mentioned each characteristic information, the attention rate feature for obtaining the user can be analyzed.
In gear and coefficient preset step S120, attention rate feature gear and weight coefficient can be preset.
It, can be according to the attribute of attention rate feature, content, the severity of behavior, to described in this example embodiment
Attention rate characterizing definition different gear and weight coefficient, as the of short duration focusing of eyes of user is left in the non-content of courses with user
The instructional terminal is compared, and the gear of former concerns degree feature is lower, weight system is lighter.
In assessing information acquiring step S130, can according to default assessment algorithm, according to the attention rate feature and
The stepping assessment information of gear where weight coefficient obtains the attention rate feature.
In this example embodiment, the attention rate is calculated according to the weight system of each attention rate feature and place gear
Stepping assess information, stepping assessment information represents concern angle value size of the attention rate feature in respective gear
And corresponding sequencing information.
In this example embodiment, the default appraisal procedure is efficiency coefficient method or multi-objective Genetic assessment algorithm.Institute
The effect of default appraisal procedure can be comparison easy based on stepping information Y-factor method Y is stated, the efficiency coefficient method is a kind of special
The multiple target assessment algorithm based on right assessment compared with common right assessment algorithm, efficiency coefficient method is according to multiple target
Planning principle determines a satisfactory value and not permissible value to each single item evaluation index, using satisfactory value as the upper limit, is with not permissible value
Lower limit calculates the degree that each index realizes satisfactory value, and the score of each index is determined with this, is carried out using weighted average comprehensive
It closes, to evaluate the integrated status of research object.Efficiency coefficient method is established on the basis of multiple objective programming principle, Neng Gougen
According to the complexity of evaluation object, never ipsilateral carries out calculating scoring to evaluation object, just meets multi-objective synthetic evaluation
Requirement.
The default appraisal procedure can also be multi-objective Genetic assessment algorithm.
Wherein, the multi-objective Genetic assessment algorithm is the multiple-objection optimization based on pareto optimal solution discussion, including
NSGA (non-dominated sorted genetic algorithm), NSGA-II (nondominated sorting genetic algorithm II) etc..
In this example embodiment, in the assessment information acquiring step, default assessment algorithm includes：
Wherein, diInformation is assessed for stepping, Zib is the attention rate feature, and Zis and Ziy is respectively that stepping information is minimum
Value and maximum value, A are the preset weight coefficient, and B is the attention rate feature gear shift value.
The stepping assessment information diFor the corresponding attention rate information of the attention rate feature, user is in the concern for reaction
The attention rate information in characteristic dimension is spent, the minimum value and maximum value of stepping where presetting the attention rate feature, described in calculating
The ratio of attention rate feature and minimum value and maximum value difference is multiplied by the weight coefficient of the attention rate feature, in addition the pass
Note degree feature gear shift value just obtains the corresponding stepping assessment information of the attention rate feature.
In attention rate information determining step S140, information can be assessed according to the stepping of all attention rate features and determine pass
Note degree information.
In this example embodiment, the stepping of all attention rate features is assessed into informix operation, is obtained described
The attention rate information of user.The comprehensive operation mode can be in summation, averaged and computational geometry average value etc.
It is a kind of.
In this example embodiment, the calculation of attention rate information includes：
Attention rate information
Each attention rate feature in the Web-based instruction often changes the larger situation of amplitude, causes calculating stepping assessment
When information, the extreme value that information is obviously assessed different from other steppings is generated, for the shadow by the above situation to attention rate information evaluation
Sound is minimized, can be when assessing information calculating attention rate information by each stepping, and using calculating, each stepping assessment information is several
The mode of what average value, can also obtain the attention rate information by seeking the logarithm of the geometrical mean attention rate information
Arithmetic average.Further, weighted geometric mean calculating method may be used, by the abnormal attention rate feature extreme value pair
The influence of attention rate information is minimized.
In correspondence generation step S150, the current content of courses can be obtained, generate the attention rate information with
The correspondence of the content of courses determines concern of the user for the content of courses according to the attention rate information
Degree.
In this example embodiment, the attention rate of the content of courses is indicated using the attention rate information, it can basis
The attention rate information sorts to the attention rate of the content of courses different piece, and the attention rate is higher than default attention rate
The commending contents of value give user's selective learning.
In this example embodiment, concern of the user for the content of courses is determined according to the attention rate information
After degree, the method further includes：Count attention rate information of all users to the content of courses；According to all users'
Attention rate information determines the overall evaluation information of the content of courses.The attention rate information determines the user for the religion
The attention rate for learning content can be for example different chapters and sections of different content in the consolidated network content of courses, the pass of various teaching form
Note degree is assessed, and can also be to assess the same content of courses of different teachers or various teaching mechanism, and to the teaching
The attention rate total evaluation result of content feeds back to corresponding associated user, and promoting teaching level for the user is provided with reference to letter
Breath.
In this example embodiment, determine that the entirety of the content of courses is commented according to the attention rate information of all users
After valence information, the method further includes：Attention rate information is met into the content of courses of preset condition as interest content；Setting is fixed
When device, after the timing length for reaching the timer, output prompt plays the prompt message of interest content；Wherein, it is timing
The timing length of device setting is before playing the interest content.As shown in Figure 2 A, it is the network of certain higher mathematics guidance of preparing for the postgraduate qualifying examination
Instructional video, according to the history attention rate INFORMATION DISCOVERY for the user for learning the Web-based instruction video, the 26th point of the video
The L'Hospital rule that clock starts explanation is high attention rate content, can this content of courses be labeled as interest content, in video
It is shown in broadcast information；Meanwhile timer can be set, start before the preset time that user watches the instructional video
Timing realizes to the perhaps prompting function of interest content in the high attention rate of user, as shown in Figure 2 B, to starting to explain high attention rate
When content L'Hospital rule countdown also has two minutes, remind user after two minutes the content of courses be 93% user high attention rate
Content.
In this example embodiment, determine that the entirety of the content of courses is commented according to the attention rate information of all users
After valence information, the method further includes：It is scored the corresponding classroom teacher of the content of courses according to the overall evaluation information；
And/or scored the content of courses according to the overall evaluation information, and adjust the content of courses.To the same of different teachers
The attention rate information of one content of courses is assessed, to specific part in the whole learning content or the content of courses
Attention rate information carries out early warning significantly lower than the teacher of average level, and teacher is prompted to pay attention to teaching method or the adjustment content of courses,
Also teaching management reference information is provided for Web-based instruction organizer.
In this example embodiment, after being scored the corresponding teacher of the content of courses according to the overall evaluation information,
The method further includes：If the classroom teacher of the content of courses is multiple, the teaching scoring of each classroom teacher is counted respectively；
Descending arrangement is carried out to the teaching scoring of each classroom teacher；The teaching of each classroom teacher after descending is arranged is scored
And the URL of the content of courses corresponding with classroom teacher generates scoring list；Export the scoring list；Detecting user's root
After the URL for triggering the corresponding content of courses according to the scoring list, the content of courses of corresponding classroom teacher is provided to the user.Such as figure
Shown in 3A, shown for the attention rate information rank of different teachers ' teaching Web-based instruction algebraically section purpose Network Coaching instructional videos
Content；As shown in Figure 3B, it is the attention rate letter of different teachers ' teaching Web-based instruction geometry section purpose Network Coaching instructional videos
It ceases ranking and shows content, the teacher for showing content and student being helped to select the Web-based instruction；As shown in Figure 3 C, it is same
The one teachers ' teaching Web-based instruction impart knowledge to students different section's purpose Network Coaching instructional videos attention rate information rank show content, institute
State the speciality course for the teacher that display content can help student to select the Web-based instruction.
In this example embodiment, the method further includes：According to the attention rate information and the content of courses, for
Family generates instructional testing topic.According to the content of the different focuses of different user, different personalized religions is customized for the user
Test question is learned, is more advantageous to and promotes Web-based instruction 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, additionally providing a kind of Web-based instruction attention rate apparatus for evaluating.With reference to shown in Fig. 4,
The Web-based instruction attention rate apparatus for evaluating 400 may include：Feature acquisition module 410, setup module 420, information evaluation module
430, information determination module 440 and information generating module 450.Wherein：
Feature acquisition module 410, the attention rate feature for obtaining user by user terminal, the attention rate feature packet
Include behavioural characteristic and state feature；
Setup module 420, for presetting attention rate feature gear and weight coefficient；
Information evaluation module 430, for according to default assessment algorithm, being obtained according to the attention rate feature and weight coefficient
The stepping of gear assesses information where to the attention rate feature；
Information determination module 440 determines attention rate information for assessing information according to the stepping of all attention rate features；
Information generating module 450 is generated for obtaining the current content of courses in the attention rate information and the teaching
The correspondence of appearance determines attention rate of the user for the content of courses according to the attention rate information.
The detail of each Web-based instruction attention rate apparatus for evaluating module is identified in corresponding audio paragraph among the above
It is described in detail in method, therefore details are not described herein again.
It should be noted that although being referred to several moulds of Web-based instruction attention rate apparatus for evaluating 400 in above-detailed
Block or unit, but this division is not enforceable.In fact, according to embodiment of the present disclosure, above-described two
The feature and function of a or more module either unit can embody in a module or unit.Conversely, above description
A module either the feature and function of unit can be further divided into and be embodied by multiple modules or unit.
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, which can execute attention rate feature as shown in Figure 1, obtains step
Rapid S110 to correspondence generation step S150.
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. a kind of Web-based instruction attention rate appraisal procedure, which is characterized in that the described method comprises the following steps：
Attention rate feature extraction step：The attention rate feature of user is obtained by user terminal, the attention rate feature includes row
It is characterized and state feature；
Gear and coefficient preset step：Default attention rate feature gear and weight coefficient；
Assess information acquiring step：According to default assessment algorithm, obtained according to the attention rate feature and weight coefficient described
The stepping of gear assesses information where attention rate feature；
Attention rate information determining step：Information, which is assessed, according to the stepping of all attention rate features determines attention rate information；
Correspondence generation step：The current content of courses is obtained, pair of the attention rate information and the content of courses is generated
It should be related to, attention rate of the user for the content of courses is determined according to the attention rate information.
2. the method as described in claim 1, which is characterized in that the attention rate feature extraction step, including with next or
Multiple sub-steps：
Fisrt feature obtains sub-step：The state feature of user, the state are obtained by the ancillary equipment of the user terminal
Feature includes the facial characteristics and eyes focus feature of user；
Second feature obtains sub-step：The behavioural characteristic of user is obtained by the ancillary equipment of the user terminal；
Third feature obtains sub-step：The terminal operation information for obtaining the user terminal, it is true according to the terminal operation information
Determine the behavioural characteristic of user.
3. the method as described in claim 1, which is characterized in that in the assessment information acquiring step, preset assessment algorithm packet
It includes：
Wherein, diAssess information for stepping, Zib is the attention rate feature, Zis and Ziy be respectively stepping information minimum value with most
Big value, A are the preset weight coefficient, and B is the attention rate feature gear shift value；
In the attention rate information determining step, the calculation of attention rate information includes：
Attention rate information
4. the method as described in claim 1, which is characterized in that
The default assessment algorithm is efficiency coefficient method or multi-objective Genetic assessment algorithm.
5. the method as described in claim 1, which is characterized in that after correspondence generation step, the method further includes：
Count attention rate information of all users to the content of courses；
The overall evaluation information of the content of courses is determined according to the attention rate information of all users.
6. method as claimed in claim 5, which is characterized in that after overall evaluation information determining step, the method is also wrapped
It includes：
Attention rate information is met into the content of courses of preset condition as interest content；
Timer is set, and after the timing length for reaching the timer, output prompt plays the prompt message of interest content；Its
In, for timer setting timing length before playing the interest content.
7. method as claimed in claim 5, which is characterized in that determine the religion according to the attention rate information of all users
After the overall evaluation information for learning content, the method further includes：
It is scored the corresponding classroom teacher of the content of courses according to the overall evaluation information；And/or
It is scored the content of courses according to the overall evaluation information, and adjusts the content of courses.
8. the method for claim 7, which is characterized in that corresponded to the content of courses according to the overall evaluation information
Teacher scoring after, the method further includes：
If the classroom teacher of the content of courses is multiple, the teaching scoring of each classroom teacher is counted respectively；
Descending arrangement is carried out to the teaching scoring of each classroom teacher；
The teaching scoring of each classroom teacher after descending is arranged and the URL of the content of courses corresponding with classroom teacher are generated
Scoring list；
Export the scoring list；
After detecting that user triggers the URL of the corresponding content of courses according to the scoring list, corresponding classroom is provided to the user
The content of courses of teacher.
9. such as claim 1 or 5 any one of them methods, which is characterized in that the method further includes：
According to the attention rate information and the content of courses, instructional testing topic is generated for user.
10. a kind of Web-based instruction attention rate apparatus for evaluating, which is characterized in that described device includes：
Feature acquisition module, the attention rate feature for obtaining user by user terminal, the attention rate feature includes behavior
Feature and state feature；
Setup module, for presetting attention rate feature gear and weight coefficient；
Information evaluation module, for according to default assessment algorithm, being obtained according to the attention rate feature and weight coefficient described
The stepping of gear assesses information where attention rate feature；
Information determination module determines attention rate information for assessing information according to the stepping of all attention rate features；
Information generating module generates pair of the attention rate information and the content of courses for obtaining the current content of courses
It should be related to, attention rate of the user for the content of courses is determined according to the attention rate information.
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.
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| CN201810189170.7A CN108564495A (en) | 2018-03-08 | 2018-03-08 | Web-based instruction attention rate appraisal procedure and device |
| PCT/CN2018/092773 WO2019169795A1 (en) | 2018-03-08 | 2018-06-26 | Attention degree evaluation method and apparatus for network teaching |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810189170.7A CN108564495A (en) | 2018-03-08 | 2018-03-08 | Web-based instruction attention rate appraisal procedure and device |
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