CN110675295A - Processing method and device and electronic equipment - Google Patents
Processing method and device and electronic equipment Download PDFInfo
- Publication number
- CN110675295A CN110675295A CN201910934573.4A CN201910934573A CN110675295A CN 110675295 A CN110675295 A CN 110675295A CN 201910934573 A CN201910934573 A CN 201910934573A CN 110675295 A CN110675295 A CN 110675295A
- Authority
- CN
- China
- Prior art keywords
- information
- task
- content
- behavior
- target object
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000003672 processing method Methods 0.000 title abstract description 9
- 238000012545 processing Methods 0.000 claims abstract description 117
- 238000000034 method Methods 0.000 claims abstract description 54
- 238000011156 evaluation Methods 0.000 claims description 93
- 230000009471 action Effects 0.000 claims description 47
- 230000008569 process Effects 0.000 claims description 22
- 239000011248 coating agent Substances 0.000 claims description 4
- 238000000576 coating method Methods 0.000 claims description 4
- 238000002360 preparation method Methods 0.000 claims description 4
- 230000006399 behavior Effects 0.000 description 140
- 230000004048 modification Effects 0.000 description 20
- 238000012986 modification Methods 0.000 description 20
- 238000004364 calculation method Methods 0.000 description 8
- 238000009795 derivation Methods 0.000 description 7
- 238000012360 testing method Methods 0.000 description 4
- 239000002699 waste material Substances 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 230000001364 causal effect Effects 0.000 description 1
- 230000019771 cognition Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Educational Administration (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Educational Technology (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The application provides a processing method, a processing device and electronic equipment, wherein the method comprises the following steps: acquiring first information, wherein the first information represents a behavior parameter of a target object when the target object executes a first task; obtaining second information, the second information being related to the content of the first task; obtaining third information, wherein the third information at least represents an execution result of the first task; and processing the first information at least based on the second information and/or the third information to obtain a processing result, and outputting the processing result, so that not only can the third information representing the execution result of the first task be obtained, but also the capacity of the target object in executing the first task can be analyzed based on the second information and/or the execution result related to the content of the executed first task to obtain the processing result, so that the capacity of the target object in executing the first task can be represented by the processing result.
Description
Technical Field
The present application belongs to the technical field of data processing, and more particularly, to a processing method, an apparatus and an electronic device.
Background
With the development of the technology, various tasks can be executed by a target object (such as a user) through the electronic equipment, and the execution result of the tasks is obtained. For example, the variety of learning-related electronic devices is increasing, and learning-related electronic devices can collect learning data during the learning process of a learning object (student), for example, collect answer results during the answering process of the learning object, and then display the collected learning data. However, the existing electronic devices only provide the function of collecting data, and cannot further analyze the ability and characteristics of the user based on the collected data.
Disclosure of Invention
The application provides a processing method, a processing device and electronic equipment, which are used for processing first information of a behavior parameter when a target object executes a first task to obtain a processing result corresponding to the first information.
The method comprises the following specific steps:
the application provides a processing method, comprising the following steps:
acquiring first information, wherein the first information represents a behavior parameter of a target object when executing a first task;
obtaining second information, wherein the second information is related to the content of the first task;
obtaining third information, wherein the third information at least represents an execution result of the first task;
processing the first information at least based on the second information and/or the third information to obtain a processing result; and a process for the preparation of a coating,
and outputting the processing result.
Preferably, the obtaining the first information includes:
and obtaining the first information according to the operation parameters of the intelligent terminal when the target object executes the first task.
Preferably, processing the first information based on the second information to obtain a processing result includes:
obtaining content information of a first task;
evaluating the behavior sequence parameter when the target object executes the first task based on the content information to obtain first evaluation information of the target object executing the first task;
the content information represents the incidence relation among the contents of all parts in the first task, and the behavior sequence parameter represents the time sequence or the logic of the behavior action.
Preferably, processing the first information based on the third information to obtain a processing result includes:
obtaining an execution result of the first task;
evaluating the behavior duration parameter of the target object when executing the first task based on the execution result to obtain second evaluation information of the target object when executing the first task;
and the behavior duration parameter represents the time duration corresponding to each behavior action.
Preferably, processing the first information based on the third information to obtain a processing result includes:
obtaining historical execution information of a first task;
evaluating the behavior frequency parameter of the target object when executing the first task based on the historical execution information to obtain third evaluation information of the target object when executing the first task;
wherein the behavior frequency parameter characterizes a frequency of each behavior action.
Preferably, processing the first information based on the second information and the third information to obtain a processing result includes:
obtaining the content and the execution result of the first task;
evaluating the behavior frequency parameter of the target object when executing the first task based on the content and the execution result to obtain fourth evaluation information of the target object when executing the first task;
wherein the execution result represents a score obtained by executing each content, and the behavior frequency parameter represents the frequency of the behavior action aiming at each content.
Preferably, processing the first information based on the second information and the third information to obtain a processing result includes:
obtaining the content and the execution result of the first task;
evaluating the behavior time parameter of the target object when executing the first task based on the content and the execution result to obtain fifth evaluation information of the target object when executing the first task;
wherein the execution result represents a score obtained by executing each content, and the behavior time parameter represents a time of a behavior action for each content.
Preferably, processing the first information based on the second information and the third information to obtain a processing result includes:
obtaining the content and the execution result of the first task;
evaluating the behavior parameters of the target object when executing the first task based on the content and the execution result to obtain sixth evaluation information of the target object when executing the first task;
the execution result represents the score obtained by executing each content, and the behavior parameter represents the duration and frequency of executing the behavior action of each content.
The present application also provides a processing apparatus, comprising:
the first obtaining unit is used for obtaining first information, and the first information represents a behavior parameter of a target object when the target object executes a first task;
a second obtaining unit configured to obtain second information, the second information being related to content of the first task;
a third obtaining unit, configured to obtain third information, where the third information at least represents an execution result of the first task;
the processing unit is used for processing the first information at least based on the second information and/or the third information to obtain a processing result; and a process for the preparation of a coating,
and the output unit is used for outputting the processing result.
The present application further provides an electronic device, comprising:
the processor is used for obtaining first information, and the first information represents a behavior parameter of a target object when the target object executes a first task; obtaining second information, wherein the second information is related to the content of the first task; obtaining third information, wherein the third information at least represents an execution result of the first task; processing the first information at least based on the second information and/or the third information to obtain a processing result;
and the display screen is used for outputting the processing result.
According to the technical scheme, first information is obtained, and the first information represents a behavior parameter of the target object when the first task is executed; obtaining second information, the second information being related to the content of the first task; obtaining third information, wherein the third information at least represents an execution result of the first task; the first information is processed at least based on the second information and/or the third information to obtain a processing result, and the processing result is output, so that not only can the third information representing the execution result of the first task be obtained, but also the capacity of the target object in executing the first task can be analyzed based on the second information and/or the execution result related to the content of the executed first task to obtain the processing result, so that the capacity and the characteristics of the target object in executing the first task can be represented through the processing result, the capacity and the characteristics of a user can be conveniently and specifically mined and cultured, and the purpose of teaching according to the properties can be achieved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a processing method provided in an embodiment of the present application;
FIG. 2 is a flow chart for processing first information according to an embodiment of the present disclosure;
FIG. 3 is a flow chart of another method for processing first information provided by an embodiment of the present application;
FIG. 4 is a flow chart of another method for processing first information according to an embodiment of the present disclosure;
FIG. 5 is a flow chart of another method for processing first information according to an embodiment of the present disclosure;
FIG. 6 is a flow chart of another method for processing first information according to an embodiment of the present disclosure;
FIG. 7 is a flow chart of another method for processing first information according to an embodiment of the present disclosure;
fig. 8 is a schematic structural diagram of a processing apparatus according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, a flowchart of a processing method provided in an embodiment of the present application is shown, which may include the following steps:
101: and acquiring first information, wherein the first information represents the behavior parameters of the target object when executing the first task, so that the behavior of the target object when executing the first task can be restored through the first information.
Wherein the first information includes but is not limited to: and at least one of a behavior sequence parameter, a behavior duration parameter and a behavior frequency parameter when the target object executes the first task. The behavior sequence parameter represents the time sequence or the logic of the behavior action when the first task is executed, for example, the behavior sequence parameter includes but is not limited to the sequence of the behavior action generated by executing each content in the first task and/or the logic sequence of executing any content in the first task; the behavior duration parameter represents a time duration corresponding to each behavior action when the first task is executed, for example, the behavior duration parameter includes but is not limited to at least one of a total duration for executing the first task, a duration spent by each content (one behavior action may be made for one content target object) in the first task, and an interval duration between each content; the behavior frequency parameter characterizes the frequency of each behavior action when the first task is executed, for example, the behavior frequency parameter includes, but is not limited to, the total number of times of executing the first task in a preset time and the total number of times of executing each content in the first task.
For example, in an examination scenario, the behavior frequency parameter may be the number of times the examinee responds to or modifies the test questions in the test paper; the action duration parameter can be the duration of time for the examinee to finish the test paper or the duration of time for finishing the reply of each test question; the behavior sequence parameter can be the question making sequence of the examinee and the like.
The first task is taken as a learning task (examination task), the student answers all questions in the learning task as an example, the action of answering all the questions when the learning task is executed can be regarded as a behavior action, the first information represents the behavior parameters of the student when the learning task is executed, if the behavior sequence parameters comprise the sequence of solving all the questions by the student, some questions may relate to solving an equation, numerical calculation and derivation, the behavior sequence parameters comprise the logical reasoning sequence of any one of the questions, such as the derivation step of each equation when the equation is solved, and the sequence from one numerical value to another numerical value when the numerical calculation is executed. The action duration parameter includes the duration taken by one learning task and the duration taken to solve each question in one learning task, and may also include the interval time between two questions to detect the time required to stay in making two action actions. The behavior frequency parameter includes the total number of times of executing the same learning task, the same learning task indicates that the learning task corresponds to the same question, and of course, the behavior frequency parameter may also include the total number of times of executing any question in the current learning task.
The first task may also be a practice task, and the behavior duration parameter includes a duration for writing each word and a duration for writing any stroke of each word; the order of behavior parameter may include an order in which all strokes of each word are written, and the frequency of behavior parameter may include a total number of times each word is written and a total number of times any stroke of each word is written. In addition, when the learning task is a question answering, the question answering process involves writing, and the first information of the learning task for answering can also comprise parameters of the word practice task.
One way to obtain the first information in this embodiment may be: and obtaining first information for the operating parameters of the intelligent terminal when the first task is executed based on the target object. The operation parameters of the intelligent terminal record the executed first task, for example, the operation parameters of the intelligent terminal can represent the total operation duration of the target object on the intelligent terminal, the operation duration and the operation times of one content of the first task through the intelligent terminal, and the logic of an execution result given to any content, so that the first information can be obtained based on the parameters.
For example, the intelligent terminal is a terminal for displaying a first task, and each content in the first task is displayed in an independent display area of the terminal, so that the operation duration of any independent display area can be recorded through the intelligent terminal, and thus the operation duration and/or the total operation duration of each independent display area can be regarded as a behavior duration parameter.
For another example, the smart terminal may be a terminal that does not display the first task but is operated by the target object to give the execution result, for example, the smart terminal may be a smart pen, and the behavior duration parameter in the first information is obtained through the operation duration of the target object on the smart pen. The first information obtaining process through the operation parameters of the smart pen can also be assisted by other ways, wherein the other ways can be but are not limited to: the method includes the steps that a target object is recorded in an auxiliary mode, videos of a first task executed by an intelligent pen are operated, behavior duration parameters, behavior sequence parameters and the like are obtained through video analysis, for example, logic of execution results of any content of the first task can be obtained through the videos, the behavior sequence parameters are obtained through the logic, duration of executing each content can be obtained through video splitting, and therefore the behavior duration parameters are obtained.
102: second information is obtained, the second information being related to the content of the first task. For example, the second information may include, but is not limited to: and the task type of the first task, the type of each content in the first task, the content of the first task and the sequence among the contents in the first task are at least one. For some first tasks related to logical reasoning, the second information may further include an association relationship between contents of the parts in the first task, the association relationship being used to indicate a logical order in which the contents of the parts are reasoned, the logical order representing a unwrapping flow in reasoning the contents, so as to illustrate what is unwrapped first and then unwrapped by the unwrapping flow, and so as to illustrate task objects of the first task and the logical order specified by the first task by the second information.
Similarly, taking the above-mentioned examination task as an example, the task type of the first task is an examination task, and the type of each content in the first task is the type of each topic, such as a subjective topic and an objective topic, where the subjective topic includes numerical calculation, equation solution, derivation topic, and the like; the objective questions include a blank filling question, a selection question, a judgment question, and the like. The content of the first task is the content included by each topic. For the numerical calculation, the solution equation and the derivation questions, the first step to the last step of solving the questions can be specified, so that the association relationship among the contents of the parts in the first task can be represented through the first step to the last step.
103: third information is obtained, the third information at least representing an execution result of the first task. For example, the third information includes at least one of an execution result of the first task, historical execution information of the first task, the execution result of the first task represents a final execution result when the first task is currently completed, the historical execution information of the first task represents an execution result when the first task is previously executed, or represents an execution result when the first task is currently completed and is previously given before the final execution result is given, for example, for a choice question, the final execution result is an option C, and D and a are selected before the option C, then D and a represent historical execution information, and a thinking process of the target object when the first task is executed can be known through the historical execution information. The execution result of the first task executed before is the final execution result of the first task executed before, and also taking the above choice as an example, the historical execution information may be the final choice given by processing the choice before, and whether the target object has a deeper understanding of the first task may be determined by the historical execution information and the current final execution result.
Based on the above explanation, the execution result of the first task may represent the answer of each content in the first task, and in this embodiment, the execution result of the first task may represent the accuracy of executing each content in the first task, for example, the execution result of the first task represents the score obtained by executing each content, and the higher the score is, the higher the accuracy is.
104: and processing the first information at least based on the second information and/or the third information to obtain a processing result. It can be understood that: the first information represents a behavior parameter when the first task is executed, the second information is related to the content of the first task, and the third information represents at least an execution result of the first task, so that when the first information is processed based on the second information and/or the third information, the behavior of the target object when the first task is executed can be analyzed to evaluate the capability when the first task is executed, evaluation information of the first task is obtained, and the capability of the target object when the first task is executed is evaluated through the evaluation information, so that the evaluation information of the first task can be regarded as one expression of the processing result. The processing procedure of the first information based on the second information and/or the third information will be described later with reference to the drawings.
105: and outputting the processing result so that the target object can know the strength of the capability of executing the first task, and further explaining the strength of the capability of the target object or the grasping condition of related contents. If the processing result is the evaluation information of the first task, the evaluation information of the first task may be the score of the target object for executing the first task, and the lower the score, the weaker the ability for executing the first task, and the higher the score, the stronger the ability for executing the first task, thereby enabling the target object to know the strength of the ability for itself to execute the first task through the processing result.
The processing result may be evaluation information of each content in the first task, and for example, the target object may execute a score of each content, so that the capability of the target object at each evaluation angle can be described with any content as a single evaluation angle, and the capability of the target object at which evaluation angle is known is more prominent but can also be known by comparing the score of each content.
In the present embodiment, one way to output the processing result is: the processing result may be displayed, and the execution result of the content with weak ability may be displayed in the first task at the same time as the processing result, for example, in the case of the learning task, the processing result may include the score of the current learning task and the score of each topic in the current learning task, and these scores may be displayed when the processing result is displayed, so that the target object may understand the understanding degree of the content targeted by the current learning task, and the higher the score is, the higher the understanding degree is, the stronger the learning ability of the target object is, and conversely, the weaker the learning ability is. And the score of each topic is displayed, so that the learning ability of the user can be conveniently known, and the whole learning ability is reduced.
In addition, the result in the process of executing the first task can be output while the processing result is output, so that the execution process of the first task can be monitored.
According to the technical scheme, first information is obtained, and the first information represents a behavior parameter of the target object when the first task is executed; obtaining second information, the second information being related to the content of the first task; obtaining third information, wherein the third information at least represents an execution result of the first task; the first information is processed at least based on the second information and/or the third information to obtain a processing result, and the processing result is output, so that not only can the third information representing the execution result of the first task be obtained, but also the capacity of the target object in executing the first task can be analyzed based on the second information and/or the execution result related to the content of the executed first task to obtain the processing result, so that the capacity and the characteristics of the target object in executing the first task can be represented through the processing result, the capacity and the characteristics of a user can be conveniently and specifically mined and cultured, and the purpose of teaching according to the properties can be achieved.
The following describes a processing manner of the first information with reference to the drawings, and the processing manner of the first information is described from three aspects of being based on the second information, being based on the third information, combining the second information and the third information, and the processing procedure is as follows:
referring to fig. 2, which shows one way of processing first information provided by the embodiment of the present application, the processing of the first information based on the second information may include the following steps:
201: content information of the first task is obtained. The content information of the first task is a representation form of the second information, the content information represents an association relationship among contents of each part in the first task, the association relationship can represent an execution sequence of the contents of each part in the first task or represent a logical inference sequence (especially specifying a start content and an end content) of the contents of each part in the first task, for example, the first task is a breakthrough task, and the breakthrough task can start another breakthrough task after one breakthrough is successful, so that the execution sequence among the breakthrough tasks represents the association relationship among the breakthrough tasks. In each breakthrough task, the breakthrough task can be solved only by reasoning the breakthrough task by using the brain, and each operation performed when the breakthrough task is solved is regarded as a logical reasoning sequence.
For another example, the first task is a learning task (examination task), what is written first and then is specified in a blank filling question in the learning task, then this filling order may be regarded as an execution order, derivation from the relation a (starting content) to the relation B (ending content) is required in a derivation question, the derivation process from the relation a to the relation B is a logical inference order, and in addition, each inference step in the logical inference order may be specified in the association relationship of each part of content.
202: and evaluating the behavior sequence parameter when the target object executes the first task based on the content information to obtain first evaluation information of the target object executing the first task.
The behavior sequence parameter represents the time sequence or logic of the behavior action, that is, represents the time sequence or logic of the behavior action generated when the target object executes the contents of each part in the first task. The chronological order among the action is described to describe whether the target object executes each part of content according to the incidence relation among the parts of content through the chronological order among the action. The logic describes the inference logic or the causal logic for giving the execution result for each part of the content, and this inference logic can be regarded as the step of solving each part of the content, so as to describe whether the target object can continuously and uninterruptedly give the last step of the solution from the first step of the solution through the step of the solution.
The first evaluation information characterizes an execution capability or a logical reasoning capability of the target object to execute the first task, and one way of obtaining the first evaluation information is as follows: and judging whether to execute each part of content according to the association relation among the parts of content based on the association relation represented by the content information and the time sequence of the behavior action represented by the behavior sequence parameter, if so, indicating that the execution capacity of the target object for executing the first task is strong, otherwise, indicating that the execution capacity of the target object for executing the first task is weak.
For example, whether the sequence of the behavior actions corresponding to each part of the content in the behavior sequence parameter is completely consistent with the execution sequence represented by the association relationship is judged, so that the completely consistent indicates that each part of the content is executed in sequence according to the execution sequence represented by the association relationship, if the execution sequence is changed, the execution capability is strong, if the execution sequence is changed, the execution capability is weak, and especially, the more the skipped and unexecuted content is, the weaker the execution capability is.
For example, the execution capacity of the target object for executing the first task is 100% in a complete agreement, if the execution order is changed, the execution capacity is determined by counting the number of times the execution order is changed, and if the number of times the execution order is changed is larger, the execution capacity is weaker, for example, the number of skipped contents is counted, and the execution capacity is determined based on the number of skipped contents.
The obtaining process of the corresponding logical reasoning ability is similar, if the behavior action parameter representation can be from the beginning content to the ending content, the logical reasoning ability is strong, otherwise, the logical reasoning ability is weak.
The first evaluation information may be expressed by, but not limited to, embodying an execution capability or a logical inference capability when the first task is executed in a scoring manner. For example, the method can also be embodied by setting the color depth, for example, the darker the color is, the stronger the description capacity is, and the weaker the description capacity is.
According to the technical scheme, the behavior sequence parameter when the first task is executed is evaluated through the content information of the first task, so that first evaluation information of the execution capacity or the logical reasoning capacity of the evaluation target object for executing the first task is obtained.
Referring to fig. 3, which shows another way of processing the first information according to the embodiment of the present application, illustrating that processing the first information based on the third information may include the following steps:
301: and obtaining an execution result of the first task, wherein the execution result of the first task is a representation of the third information, for example, the execution result of the first task is an execution result of the target object when the first task is currently finished, and the execution result of the first task in the execution process is not monitored. Taking the choice as an example, the execution result of the first task is the final option of the choice, but the embodiment does not monitor whether other options are selected before the final option is given.
The execution result of the first task may also be an execution result of each content in the first task when the target object currently ends executing the first task, for example, if there are multiple judgment questions, the execution result of the first task includes a result of each judgment question.
302: and evaluating the behavior duration parameter when the target object executes the first task based on the execution result to obtain second evaluation information of the target object executing the first task, wherein the behavior duration parameter represents the time length corresponding to each behavior action, each behavior action can correspond to one content in the first task, so as to represent the duration from the beginning of executing the first task by the target object to the obtaining of the execution result of the first task and/or represent the duration from the beginning of executing any content in the first task to the ending of executing (the obtaining of the execution result of the content is regarded as the ending) by the behavior duration parameter.
It can be understood that: the longer the spent time length is, the lower the efficiency of the target object is, and the shorter the spent time length is, the higher the efficiency of the target object is, so that the behavior time length parameter is evaluated according to the execution result of the first task, and second evaluation information which represents the efficiency of the target object in executing the first task can be obtained.
In this embodiment, one way to obtain the second evaluation information may be, but is not limited to: the corresponding relationship between the time length represented by the behavior duration parameter and the value of the second evaluation information is preset, for example, the corresponding relationship between the time length represented by the behavior duration parameter and the score of the representation efficiency (one expression of the value of the second evaluation information) is preset, so that after the time length is obtained through the behavior duration parameter, the score can be searched from the corresponding relationship, and the score is used as the second evaluation information. For the expression form of the second evaluation information, reference may be made to the above-described embodiment, which is not described again.
According to the technical scheme, the behavior duration parameter when the first task is executed is evaluated according to the execution result of the first task, so that second evaluation information for evaluating the efficiency of the target object in executing the first task is obtained.
Referring to fig. 4, which shows another way of processing the first information according to the embodiment of the present application, illustrating that the processing of the first information based on the third information may include the following steps:
401: historical execution information of the first task is obtained, and the historical execution information of the first task is a representation of third information, for example, the historical execution information of the first task is an execution result of the target object before the first task is currently finished, and the execution result in the first task execution process can be monitored. Taking the choice as an example, the historical execution information of the first task is an option selected before the final option of the choice is made, so as to monitor the execution process of the first task. The execution process of each content in the first task may be monitored while the execution process of the first task is monitored.
The historical execution information of the first task may also be an execution result obtained when the first task is executed before the target object, so as to monitor the historical execution condition of the first task, and if the currently executed first task is a choice, and the choice is learned before the currently executed choice, an option for learning the choice before may be used as the historical execution information.
402: and evaluating the behavior frequency parameter of the target object when executing the first task based on the historical execution information to obtain third evaluation information of the target object when executing the first task.
The behavior frequency parameter represents the frequency of each behavior action, each behavior action can correspond to each content in the first task, and the frequency of executing each content is represented by the behavior frequency parameter. The more the frequency is, the more the modification is performed before the execution result is obtained, and the lower the comprehension degree of the content is, so that the behavior frequency parameter is evaluated through the historical execution information, the comprehension degree of the target object on each content in the first task can be obtained, the comprehension degree of the target object on the first task can be obtained by integrating the comprehension degrees of each content, and the comprehension degree of the target object on the first task and/or each content in the first task can be represented based on the third evaluation information.
The third evaluation information may be expressed in a form that represents, but is not limited to, the first task and/or the degree of understanding of each content in the first task by means of scoring. Of course, an expression form similar to the progress bar may be adopted, and the progress bar has a larger progress when the understanding degree is higher, and a smaller progress when the understanding degree is lower.
In this embodiment, the third evaluation information may be the level of the understanding degree, and a specific value of the understanding degree may not be limited, and if the specific value of the understanding degree needs to be obtained, reference may be made to the obtaining manner of the second evaluation information shown in fig. 3, which is not described again in this embodiment.
According to the technical scheme, the behavior frequency parameter when the first task is executed is evaluated through the historical execution information of the first task, so that third evaluation information of the comprehension ability of the evaluation target object to the first task is obtained.
Referring to fig. 5, which shows another way of processing the first information according to the embodiment of the present application, it is stated that processing the first information in combination with the second information and the third information may include the following steps:
501: the content and execution results of the first task are obtained. The content of the first task is one expression form of the second information, the execution result is one expression form of the third information, and the execution result represents the scores obtained by the contents. For example, if the first task is a word practice task, the content of the first task is the word to be practiced, and the execution result is the score of each word.
502: and evaluating the behavior frequency parameter of the target object when executing the first task based on the content and the execution result to obtain fourth evaluation information of the target object when executing the first task. The behavior frequency parameter represents the frequency of behavior action aiming at each content, and the frequency of executing each content is represented by the behavior frequency parameter.
The more the frequency of the content is, the more the score of the content is obtained through multiple modification, and the score of the content can represent whether the execution result of the content is correct, so that whether a correct execution result is obtained after the multiple modification of the content can be determined through the execution result of the content and the content, for the first task, if the content of the correct execution result obtained through the multiple modification is more, the higher the modification accuracy rate of the target object for executing the first task is, and if the content of the correct execution result obtained through the multiple modification is less, the lower the modification accuracy rate of the target object for executing the first task is, so that the fourth evaluation information of the modification accuracy rate of the target object for executing the first task can be obtained based on the evaluation of the behavior frequency parameter of the target object when the first task is executed by the content and the execution result.
In addition, based on that the more times the fourth evaluation information is obtained, the lower the understanding degree of the content is, therefore, the evaluation of the behavior frequency parameter by the content and the execution result can also obtain the understanding degree of the target object to each content in the first task, and for the detailed description, please refer to the embodiment shown in fig. 4, which is not described in detail again.
For the fourth evaluation information, an equation for calculating the fourth evaluation information may be obtained by using the content and the execution result of the historical first task and the behavior frequency parameter of the historical first task, so that the fourth evaluation information may be obtained based on the equation after the content and the execution result of one first task are obtained, and of course, other manners may also be adopted, for example, the manner of obtaining the second evaluation information shown in fig. 3, and the manner of obtaining the fourth evaluation information is not described again in this embodiment, and the form of representing the fourth evaluation information may embody the correct rate of modification of each content in the first task by, but not limited to, a report graph. Of course, the representation form similar to the progress bar may also be adopted, and this embodiment is not described again.
According to the technical scheme, the behavior frequency parameter when the first task is executed is evaluated according to the content and the execution result of the first task, so that fourth evaluation information of the modification accuracy rate of the evaluation target object to the first task is obtained.
Referring to fig. 6, which shows another way of processing the first information according to the embodiment of the present application, it is stated that processing the first information in combination with the second information and the third information may include the following steps:
601: and obtaining the content and the execution result of the first task, wherein the content of the first task is a representation form of the second information, the execution result is a representation form of the third information, and the execution result represents the score obtained by each content.
602: and evaluating the behavior time parameter of the target object when executing the first task based on the content and the execution result to obtain fifth evaluation information of the target object when executing the first task.
The behavior time parameter represents the time of the behavior action for each content, and the modification time of each content is represented by the behavior time parameter, for example, the modification time includes the start time and the end time of each content modification, so that the duration spent on obtaining the execution result of each content is represented by the behavior time parameter, and the modification time of each content can also be represented by the behavior time parameter.
It can be understood that: the longer the time taken by each content is, the more time is taken to obtain the score of the content, and the score of the content can represent whether the execution result of the content is correct, so that whether a correct execution result is obtained for the content after a period of time (namely, the corresponding time) can be determined through the content and the execution result of the content.
In addition, the longer the time length is when the fifth evaluation information is obtained, the lower the understanding degree of the content is, so that the evaluation of the behavior time parameter by the content and the execution result can also obtain the understanding degree of the target object on each content in the first task, and the detailed description refers to the embodiment shown in fig. 4, which is not described in detail again. For the calculation manner and the expression form of the fifth evaluation information, reference may be made to the above-mentioned embodiment shown in fig. 5, and details of this embodiment will not be further described.
According to the technical scheme, the behavior time parameter when the first task is executed is evaluated according to the content and the execution result of the first task, so that fifth evaluation information of the modification time and the accuracy of the evaluation target object to the first task is obtained.
Referring to fig. 7, which shows another way of processing the first information according to the embodiment of the present application, it is stated that processing the first information in combination with the second information and the third information may include the following steps:
701: and obtaining the content and the execution result of the first task, wherein the content of the first task is a representation form of the second information, the execution result is a representation form of the third information, and the execution result represents the score obtained by each content.
702: and evaluating the behavior parameters of the target object when executing the first task based on the content and the execution result to obtain sixth evaluation information of the target object when executing the first task.
The behavior parameters represent the time length and frequency of executing the behavior actions of each content, the behavior frequency parameter table is used for referring to the frequency of the behavior actions of each content in the first task, and the behavior time length parameter represents the working time of the behavior of each content and can represent the time length of each content through the behavior frequency parameter table.
For example, the behavior parameter of each content may determine how many times the content is modified within the duration of the content to obtain the score of the content, and if the score of the content indicates that a correct execution result is obtained, it indicates that although the content is modified for many times, the correct execution result is obtained after the modification, which indicates that no time is wasted; if the score of the content indicates that an erroneous execution result is obtained, it indicates that the erroneous execution result is obtained after modification although the time length of the content is modified for a plurality of times, and indicates that time is wasted.
Based on the above explanation, the present embodiment may evaluate the behavior parameter of each content based on the execution result of the content, and may obtain the sixth evaluation information when the target object executes the first task by integrating the evaluations of the contents. For example, a threshold value is set, and when the number of the contents which waste time exceeds the threshold value, a sixth evaluation information which repeatedly modifies the waste time is obtained, and if the number of the contents which waste time does not exceed the threshold value, a sixth evaluation information which repeatedly modifies but does not waste time is obtained. Here, it is only an example of a calculation method of the sixth evaluation information, and other calculation methods capable of obtaining the sixth evaluation information all belong to the protection scope of the present embodiment, and the above-mentioned method of setting the correspondence relationship in advance may also be applied to the sixth evaluation information, and this embodiment is not described one by one.
The sixth evaluation information may be expressed in any one of the first to fifth evaluation information, but the present embodiment is not limited thereto.
According to the technical scheme, the behavior parameters during the execution of the first task are evaluated according to the content and the execution result of the first task, so that the sixth evaluation information of whether the evaluation target object repeatedly modifies the wasted time length during the execution of the first task is obtained.
The points to be explained here are: the calculation manners and the expression forms of the first evaluation information to the sixth evaluation information are only examples, and any manner capable of obtaining the first evaluation information to the sixth evaluation information and any manner capable of expressing the first evaluation information to the sixth evaluation information belong to the protection scope of the present embodiment, and the present embodiment is not described one by one.
In addition, the processing method provided by this embodiment may further include: the content information of the first task is adjusted based on the processing result. For example, the content of the first task is adjusted based on at least one of the first to sixth evaluation information, so that a task capable of improving the ability of the target object is added to the first task in a targeted manner based on at least one of the first to sixth evaluation information.
Taking the fourth evaluation information as an example, the content giving the wrong execution result when the first task is executed can be determined through the fourth evaluation information, and correspondingly, the content which is the same as/similar to the content giving the wrong execution result can be added in the first task, so that the target object can repeatedly execute the same type of content, and the cognition and understanding of the content can be increased.
Taking the first task as a learning task as an example, the problem with the wrong answer in the learning task can be determined through the fourth evaluation information, and then the same or similar problem with the wrong answer (e.g., the problem with the similar or same knowledge point in the way of answering the question) can be added in the learning task, so as to enhance the understanding of the knowledge point of the problem.
While, for purposes of simplicity of explanation, the foregoing method embodiments have been described as a series of acts or combination of acts, it will be appreciated by those skilled in the art that the present application is not limited by the order of acts or acts described, as some steps may occur in other orders or concurrently with other steps in accordance with the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
Corresponding to the above method embodiment, an embodiment of the present application further provides a processing apparatus, which has a structure as shown in fig. 8 and may include: a first obtaining unit 10, a second obtaining unit 20, a third obtaining unit 30, a processing unit 40 and an output unit 50.
A first obtaining unit 10, configured to obtain first information, where the first information represents a behavior parameter of the target object when executing the first task, so that a behavior of the target object when executing the first task can be restored through the first information. Wherein the first information includes but is not limited to: and at least one of a behavior sequence parameter, a behavior duration parameter and a behavior frequency parameter when the target object executes the first task. Wherein one way of obtaining the first information is: please refer to the method embodiment specifically for obtaining the first information for the operation parameter of the intelligent terminal when the target object executes the first task, which is not described in detail in this embodiment.
A second obtaining unit 20 for obtaining second information, the second information being related to the content of the first task. For example, the second information may include, but is not limited to: and the task type of the first task, the type of each content in the first task, the content of the first task and the sequence among the contents in the first task are at least one. For some first tasks related to logical inference, the second information may further include an association relationship between contents of each part in the first task, where the association relationship is used to indicate a logical order for inferring contents of each part, and the logical order represents a release flow when inferring contents, so as to explain what is released first and then what is released through the release flow, and so as to explain task objects of the first task and a logical order specified by the first task through the second information, with reference to the method embodiment.
A third obtaining unit 30, configured to obtain third information, where the third information at least represents an execution result of the first task. For example, the third information includes at least one of an execution result of the first task and historical execution information of the first task, where the execution result of the first task indicates a final execution result when the first task is currently completed, and the historical execution information of the first task indicates an execution result when the first task is previously executed, or indicates an execution result given before the final execution result is given when the first task is currently completed, and refer to the method embodiment.
And the processing unit 40 is used for processing the first information at least based on the second information and/or the third information to obtain a processing result. It can be understood that: the first information represents a behavior parameter when the first task is executed, the second information is related to the content of the first task, and the third information represents at least an execution result of the first task, so that when the first information is processed based on the second information and/or the third information, the behavior of the target object when the first task is executed can be analyzed to evaluate the capability when the first task is executed, evaluation information of the first task is obtained, and the capability of the target object when the first task is executed is evaluated through the evaluation information, so that the evaluation information of the first task can be regarded as one expression of the processing result. The processing manner of the first information based on the second information and/or the third information includes, but is not limited to, the following manners:
one way is as follows: obtaining content information of a first task; evaluating the behavior sequence parameter when the target object executes the first task based on the content information to obtain first evaluation information of the target object executing the first task;
the content information is an expression form of the second information, the content information represents the association relation among the contents of all parts in the first task, and the behavior sequence parameter represents the time sequence or the logic of the behavior action.
In another mode: obtaining a result of execution of the first task (one manifestation of the third information); evaluating the behavior duration parameter of the target object when executing the first task based on the execution result to obtain second evaluation information of the target object when executing the first task; and the behavior duration parameter represents the time duration corresponding to each behavior action.
In another way: obtaining historical execution information (one manifestation of third information) of the first task; evaluating the behavior frequency parameter of the target object when executing the first task based on the historical execution information to obtain third evaluation information of the target object when executing the first task; wherein the behavior frequency parameter characterizes a frequency of each behavior action.
In another way: obtaining the content (one expression form of the second information) and the execution result (one expression form of the third information) of the first task; evaluating the behavior frequency parameter of the target object when executing the first task based on the content and the execution result to obtain fourth evaluation information of the target object when executing the first task; wherein the execution result represents a score obtained by executing each content, and the behavior frequency parameter represents the frequency of the behavior action aiming at each content.
In another way: obtaining the content (one expression form of the second information) and the execution result (one expression form of the third information) of the first task; evaluating the behavior time parameter of the target object when executing the first task based on the content and the execution result to obtain fifth evaluation information of the target object when executing the first task; wherein the execution result represents a score obtained by executing each content, and the behavior time parameter represents a time of a behavior action for each content.
In another way: obtaining the content (one expression form of the second information) and the execution result (one expression form of the third information) of the first task; evaluating the behavior parameters of the target object when executing the first task based on the content and the execution result to obtain sixth evaluation information of the target object when executing the first task; the execution result represents the score obtained by executing each content, and the behavior parameter represents the duration and frequency of executing the behavior action of each content.
For the above description, reference is made to method embodiments, which are not described again.
And the output unit 50 is used for outputting the processing result so that the target object can know the strength of the capability of executing the first task, and further the strength of the capability of the target object or the grasping condition of the related content can be described.
According to the technical scheme, first information is obtained, and the first information represents a behavior parameter of the target object when the first task is executed; obtaining second information, the second information being related to the content of the first task; obtaining third information, wherein the third information at least represents an execution result of the first task; the first information is processed at least based on the second information and/or the third information to obtain a processing result, and the processing result is output, so that not only can the third information representing the execution result of the first task be obtained, but also the capacity of the target object in executing the first task can be analyzed based on the second information and/or the execution result related to the content of the executed first task to obtain the processing result, so that the capacity and the characteristics of the target object in executing the first task can be represented through the processing result, the capacity and the characteristics of a user can be conveniently and specifically mined and cultured, and the purpose of teaching according to the properties can be achieved.
The present application further provides an electronic device, comprising:
the processor is used for obtaining first information, and the first information represents a behavior parameter of the target object when the target object executes a first task; obtaining second information, the second information being related to the content of the first task; obtaining third information, wherein the third information at least represents an execution result of the first task; processing the first information at least based on the second information and/or the third information to obtain a processing result; and the display screen is used for outputting the processing result.
For the first information, the second information, the third information, and the process of processing the first information by the processor, please refer to the related description in the above method embodiment, which is not further described in this embodiment.
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the device-like embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (10)
1. A method of processing, comprising:
acquiring first information, wherein the first information represents a behavior parameter of a target object when executing a first task;
obtaining second information, wherein the second information is related to the content of the first task;
obtaining third information, wherein the third information at least represents an execution result of the first task;
processing the first information at least based on the second information and/or the third information to obtain a processing result; and a process for the preparation of a coating,
and outputting the processing result.
2. The method of claim 1, the obtaining first information comprising:
and obtaining the first information according to the operation parameters of the intelligent terminal when the target object executes the first task.
3. The method of claim 1, processing the first information based on the second information, resulting in a processing result, comprising:
obtaining content information of a first task;
evaluating the behavior sequence parameter when the target object executes the first task based on the content information to obtain first evaluation information of the target object executing the first task;
the content information represents the incidence relation among the contents of all parts in the first task, and the behavior sequence parameter represents the time sequence or the logic of the behavior action.
4. The method of claim 1, processing the first information based on the third information, resulting in a processed result, comprising:
obtaining an execution result of the first task;
evaluating the behavior duration parameter of the target object when executing the first task based on the execution result to obtain second evaluation information of the target object when executing the first task;
and the behavior duration parameter represents the time duration corresponding to each behavior action.
5. The method of claim 1, processing the first information based on the third information, resulting in a processed result, comprising:
obtaining historical execution information of a first task;
evaluating the behavior frequency parameter of the target object when executing the first task based on the historical execution information to obtain third evaluation information of the target object when executing the first task;
wherein the behavior frequency parameter characterizes a frequency of each behavior action.
6. The method of claim 1, processing the first information based on the second information and the third information, resulting in a processing result, comprising:
obtaining the content and the execution result of the first task;
evaluating the behavior frequency parameter of the target object when executing the first task based on the content and the execution result to obtain fourth evaluation information of the target object when executing the first task;
wherein the execution result represents a score obtained by executing each content, and the behavior frequency parameter represents the frequency of the behavior action aiming at each content.
7. The method of claim 1, processing the first information based on the second information and the third information, resulting in a processing result, comprising:
obtaining the content and the execution result of the first task;
evaluating the behavior time parameter of the target object when executing the first task based on the content and the execution result to obtain fifth evaluation information of the target object when executing the first task;
wherein the execution result represents a score obtained by executing each content, and the behavior time parameter represents a time of a behavior action for each content.
8. The method of claim 1, processing the first information based on the second information and the third information, resulting in a processing result, comprising:
obtaining the content and the execution result of the first task;
evaluating the behavior parameters of the target object when executing the first task based on the content and the execution result to obtain sixth evaluation information of the target object when executing the first task;
the execution result represents the score obtained by executing each content, and the behavior parameter represents the duration and frequency of executing the behavior action of each content.
9. A processing apparatus, comprising:
the first obtaining unit is used for obtaining first information, and the first information represents a behavior parameter of a target object when the target object executes a first task;
a second obtaining unit configured to obtain second information, the second information being related to content of the first task;
a third obtaining unit, configured to obtain third information, where the third information at least represents an execution result of the first task;
the processing unit is used for processing the first information at least based on the second information and/or the third information to obtain a processing result; and a process for the preparation of a coating,
and the output unit is used for outputting the processing result.
10. An electronic device, comprising:
the processor is used for obtaining first information, and the first information represents a behavior parameter of a target object when the target object executes a first task; obtaining second information, wherein the second information is related to the content of the first task; obtaining third information, wherein the third information at least represents an execution result of the first task; processing the first information at least based on the second information and/or the third information to obtain a processing result;
and the display screen is used for outputting the processing result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910934573.4A CN110675295A (en) | 2019-09-29 | 2019-09-29 | Processing method and device and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910934573.4A CN110675295A (en) | 2019-09-29 | 2019-09-29 | Processing method and device and electronic equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110675295A true CN110675295A (en) | 2020-01-10 |
Family
ID=69080101
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910934573.4A Pending CN110675295A (en) | 2019-09-29 | 2019-09-29 | Processing method and device and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110675295A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105260964A (en) * | 2015-11-13 | 2016-01-20 | 苏州中科知图信息科技有限公司 | Online learning-based studying condition analysis system and method |
| CN108614865A (en) * | 2018-04-08 | 2018-10-02 | 暨南大学 | Method is recommended in individualized learning based on deeply study |
| US20190197913A1 (en) * | 2017-12-27 | 2019-06-27 | Kyocera Document Solutions Inc. | Information processing apparatus, information processing method, and non-transitory recording medium recorded with program |
| WO2019176374A1 (en) * | 2018-03-16 | 2019-09-19 | 京セラドキュメントソリューションズ株式会社 | Information processing device and information processing method |
-
2019
- 2019-09-29 CN CN201910934573.4A patent/CN110675295A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105260964A (en) * | 2015-11-13 | 2016-01-20 | 苏州中科知图信息科技有限公司 | Online learning-based studying condition analysis system and method |
| US20190197913A1 (en) * | 2017-12-27 | 2019-06-27 | Kyocera Document Solutions Inc. | Information processing apparatus, information processing method, and non-transitory recording medium recorded with program |
| WO2019176374A1 (en) * | 2018-03-16 | 2019-09-19 | 京セラドキュメントソリューションズ株式会社 | Information processing device and information processing method |
| CN108614865A (en) * | 2018-04-08 | 2018-10-02 | 暨南大学 | Method is recommended in individualized learning based on deeply study |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108491781B (en) | Classroom concentration degree evaluation method and terminal | |
| CN104835356B (en) | A kind of student pays attention to the class measuring method and the system of focus | |
| Ployhart et al. | Two waves of measurement do not a longitudinal study make | |
| JP6187902B2 (en) | Intelligent productivity analyzer, program | |
| US10600018B2 (en) | Data processing systems for processing and analyzing data regarding self-awareness and executive function | |
| Biswas et al. | Data mining methods for assessing self-regulated learning | |
| KR101895961B1 (en) | Method, apparatus and computer program for estimating scores | |
| JP2015223224A (en) | Degree-of-concentration evaluation device and program | |
| CN109254959B (en) | Data evaluation method and device, terminal equipment and readable storage medium | |
| CN107221212B (en) | Online learner cognitive style analysis method based on time sequence | |
| JP2010158523A (en) | Method for measuring effect of distraction, computerized test system, system for measuring effect of distraction, method for measuring action of human subject, and system for measuring effect of stimuli | |
| Scruggs et al. | Extending deep knowledge tracing: Inferring interpretable knowledge and predicting post-system performance | |
| CN110990707A (en) | Learning content pushing method, system, equipment and storage medium | |
| CN111144321A (en) | Concentration degree detection method, device, equipment and storage medium | |
| Montalvo et al. | Identifying students' inquiry planning using machine learning | |
| US10191830B1 (en) | Data processing systems for processing and analyzing data regarding self-awareness and executive function | |
| KR20180127266A (en) | Method, apparatus and computer program for estimating scores | |
| Mwamikazi et al. | An adaptive questionnaire for automatic identification of learning styles | |
| CN110675295A (en) | Processing method and device and electronic equipment | |
| TWI524294B (en) | Online learning style automated diagnostic system, online learning style automated diagnostic method and computer readable recording medium | |
| JP3991066B2 (en) | Service providing apparatus, service providing method, and program | |
| JP2005215023A (en) | Test implementation system and test implementation method | |
| CN110807179B (en) | User identification method, device, server and storage medium | |
| US10870058B2 (en) | Data processing systems for processing and analyzing data regarding self-awareness and executive function | |
| CN113827243B (en) | Attention assessment method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |