CN117273389A - Learning condition management method and device based on network target range - Google Patents
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Abstract
The application discloses a learning condition management method based on a network target range, which combines the practical training application characteristics of the network target range, divides the learning condition management of network security skills into a plurality of learning condition management items, respectively defines, issues, executes and the like the learning condition management indexes of the plurality of learning condition management items, monitors acquisition parameters corresponding to the learning condition management indexes of a preset practical training task in the running process, determines monitoring analysis results and the like according to the acquisition parameters corresponding to the learning condition management indexes and configuration parameters corresponding to the learning condition management indexes, and carries out alarm prompt and/or information feedback if the monitoring analysis results meet preset conditions. Therefore, through the learning condition management project and the learning condition management index corresponding to the preset practice training task, the skill learning effect of the preset practice training task can be improved, the management problem of the existing practice training process is solved, and the learning efficiency is finally improved.
Description
Technical Field
The application relates to the field of data processing, in particular to a learning condition management method and device based on a network shooting range.
Background
The network target range is a technology or product for simulating and reproducing the running states and running environments of network architecture, system equipment and business processes in a real network space based on a virtualization technology. The network target range plays a very important role in the aspect of network safety practice training and training skills, and because the network safety practice is strong, the related content range is very wide, and the network target range has informatization characteristics, so that more uncertainty exists in the study condition management in the training practice, and the problem is not solved well. There are a number of problems with the management of moods in a network range: 1. the practical training process does not need to be controlled, and the learning condition is determined only by the final single submitting result under most conditions, so that the method is relatively rough and simple, and functions are lost or corresponding contents are lacking; 2. the network security practice training is different from the traditional subject study management, and has high content and complexity, and can not judge through the class face recognition technology similar to the traditional class; i.e. the complexity of the process is high and unified criteria cannot be found.
Disclosure of Invention
The application provides a learning condition management method and device based on a network shooting range, so that learning condition management items and learning condition management indexes corresponding to preset practice training tasks are realized, the skill learning effect of the preset practice training tasks can be improved, the management problem of the existing practice training process is solved, and the learning efficiency is finally improved.
In a first aspect, the present application provides a method for managing a learning situation based on a network target range, the method comprising:
acquiring a learning condition management project, a learning condition management index corresponding to a preset practice training task and configuration parameters corresponding to the learning condition management index;
constructing the preset practice training task based on the academic emotion management project by utilizing a network target range;
monitoring acquisition parameters corresponding to the learning condition management indexes of the preset practice training task in the running process;
determining a monitoring analysis result according to the acquisition parameters corresponding to the science emotion management indexes and the configuration parameters corresponding to the science emotion management indexes;
and if the monitoring analysis result meets the preset condition, carrying out alarm prompt and/or information feedback.
In a second aspect, the present application provides a device for managing a learning situation based on a network shooting range, the device comprising:
the information acquisition unit is used for acquiring a study management project, a study management index and configuration parameters corresponding to the study management index, which correspond to a preset practice training task;
the task construction unit is used for constructing the preset practice training task based on the learning condition management project by utilizing a network shooting range;
the parameter monitoring unit is used for monitoring acquisition parameters corresponding to the learning condition management indexes of the preset practice training task in the running process;
the monitoring analysis unit is used for determining a monitoring analysis result according to the acquisition parameters corresponding to the learning condition management indexes and the configuration parameters corresponding to the learning condition management indexes;
and the prompt feedback unit is used for carrying out alarm prompt and/or information feedback if the monitoring analysis result meets the preset condition.
In a third aspect, the present application provides a readable medium comprising execution instructions which, when executed by a processor of an electronic device, perform the method according to any of the first aspects.
In a fourth aspect, the present application provides an electronic device comprising a processor and a memory storing execution instructions, the processor performing the method according to any one of the first aspects when executing the execution instructions stored in the memory.
According to the technical scheme, the learning condition management project, the learning condition management index and the configuration parameters corresponding to the learning condition management index corresponding to the preset practice training task are obtained; constructing the preset practice training task based on the academic emotion management project by utilizing a network target range; monitoring acquisition parameters corresponding to the learning condition management indexes of the preset practice training task in the running process; determining a monitoring analysis result according to the acquisition parameters corresponding to the science emotion management indexes and the configuration parameters corresponding to the science emotion management indexes; and if the monitoring analysis result meets the preset condition, carrying out alarm prompt and/or information feedback. According to the method, the learning condition management of the network safety skills is divided into a plurality of learning condition management items by combining the practical training application characteristics of the network target range, the learning condition management indexes of the plurality of learning condition management items are defined, issued, executed and the like, the acquisition parameters corresponding to the learning condition management indexes of the preset practical training task in the operation process are monitored, the monitoring analysis result and the like are determined according to the acquisition parameters corresponding to the learning condition management indexes and the configuration parameters corresponding to the learning condition management indexes, and if the monitoring analysis result meets preset conditions, alarm prompt and/or information feedback are carried out. Therefore, through the learning condition management project and the learning condition management index corresponding to the preset practice training task, the skill learning effect of the preset practice training task can be improved, the management problem of the existing practice training process is solved, and the learning efficiency is finally improved.
Further effects of the above-described non-conventional preferred embodiments will be described below in connection with the detailed description.
Drawings
In order to more clearly illustrate the embodiments or prior art solutions of the present application, the drawings that are required for the description of the embodiments or prior art will be briefly described below, it being apparent that the drawings in the following description are only some of the embodiments described in the present application, and that other drawings may be obtained according to these drawings without inventive faculty for a person skilled in the art.
FIG. 1 is a flow chart of a method for managing a learning situation based on a network target range according to the present application;
fig. 2 is a schematic structural diagram of a learning condition management device based on a network shooting range according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purposes, technical solutions and advantages of the present application, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The inventor finds that at present, the network target range plays a very important role in the aspect of network safety practice training and training skills, and because the network safety practice is strong, the related content range is very wide and has informatization characteristics, so that more uncertainty exists in the study condition management in the training practice, and the problem is not solved well. There are a number of problems with the management of moods in a network range: 1. the practical training process does not need to be controlled, and the learning condition is determined only by the final single submitting result under most conditions, so that the method is relatively rough and simple, and functions are lost or corresponding contents are lacking; 2. the network security practice training is different from the traditional subject study management, and has high content and complexity, and can not judge through the class face recognition technology similar to the traditional class; i.e. the process complexity is high and no unified standard or line can be found.
Therefore, the application provides a learning condition management method based on a network target range, specifically, the learning condition management of the network security skills is divided into a plurality of learning condition management items by combining the practical training operation characteristics of the network target range, the learning condition management items are respectively defined, issued, executed and the like of the learning condition management indexes, the acquisition parameters corresponding to the learning condition management indexes in the running process of the preset practical training task are monitored, the monitoring analysis results are determined according to the acquisition parameters corresponding to the learning condition management indexes and the configuration parameters corresponding to the learning condition management indexes, and if the monitoring analysis results meet preset conditions, alarm prompt and/or information feedback are carried out. Therefore, through the learning condition management project and the learning condition management index corresponding to the preset practice training task, the skill learning effect of the preset practice training task can be improved, the management problem of the existing practice training process is solved, and the learning efficiency is finally improved.
Various non-limiting embodiments of the present application are described in detail below with reference to the attached drawing figures.
Referring to fig. 1, a method for managing a learning situation based on a network shooting range in an embodiment of the present application is shown, where the method may be completely applied to a terminal device (for example, a mobile device such as a mobile phone, a notebook, an electronic communication watch, etc.), or may be completely applied to a server, or may be partially applied to the terminal device, and partially applied to the server. In this embodiment, the method may include, for example, the steps of:
s101: acquiring a learning condition management project, a learning condition management index and configuration parameters corresponding to the learning condition management index corresponding to a preset practice training task.
In this embodiment, the learning condition management item may include: environmental index items, learner interaction index items, and result index items. Accordingly, the emotion management index may include: environmental index, student interaction index, result index. The configuration parameters corresponding to the learning condition management indexes can be understood as preset parameter thresholds corresponding to the learning condition management indexes, and the configuration parameters corresponding to the learning condition management indexes can be used for evaluating whether the indexes are abnormal or not.
Network security skill learning relates to network shooting ranges (environments), people (students), results (classroom questions and learning results). The network target range is based on virtualization and simulation technology, and a simulation environment for practical training is constructed, so that the network target range is a learning guarantee environment. The usability of the environment, the use condition of the resources and the occurrence of abnormality influence the study development, and the environment is provided with resource guarantee rate and usability index items. Personnel are more flexible in training, but core factors are not feasible when the activities are thoroughly analyzed, so that indexes such as participation degree, interaction degree and the like are adopted, and a monitoring evaluation mode is adopted; results refer to questions, or staged results, or final results reports that need to be answered in the process; and adopting index items such as completion degree, progress deviation, accuracy and the like.
Selection of all indicators starting point: 1. the method helps the learning condition management to achieve the final implementation effect, such as ensuring learning, providing learning support in time, improving participation of personnel, and giving procedural evaluation to students in time; 2. the personnel/scholars who do not pay attention to the best/fastest completion skill training pay attention to learning deviation conditions such as lag or progress delay or late submission time and the like, and support is provided; 3. attention is paid to the overall progress situation and the effect.
For the learning condition management index of the task, the learning condition management can be started according to the practical training task developed by the learner, and the learning condition management project, the learning condition management index and the configuration parameters corresponding to the learning condition management index are configured for the management and control of the subsequent whole training task process. The learning condition management can be used for the management of learning conditions under the conditions of multiple persons such as teams, classes and the like.
The emotion management index can be divided into: environmental index, student interaction index and result index. The environmental index can be understood as indexes such as network target range resources, service conditions and the like which are relied on by practical training; the learner interaction index can be understood as indexes such as the operation duration, participation degree and the like of the learner; the result index can be understood as indexes such as actual questionnaires submitted by students before, during and after training, staged results, final experimental results/reported completion percentage, progress deviation, accuracy and the like. The configuration parameters corresponding to the environmental indicators may be: the configuration parameter of the resource usage of the client manipulator may be 90% usage for a duration of 2 minutes; the configuration parameters of the resource time of the client manipulator may be that a certain learner does not have a training scenario using the practice, or that there is no access operation for 30 minutes.
The learner interaction index item may be understood as an index related to a learner operating a client operator or directly initiating a request for assistance, and may include, for example, indexes of engagement, time of activity, request for application, and the like. The configuration parameters corresponding to the learner interaction index may be: the configuration parameters of the participation degree are 100% of the trainees, the time period is determined according to the task duration, such as a task of 1 hour, and the training of the trainees is required to be participated in within 20 minutes after the task is started; the configuration parameters of the activity time are that the time of operating the client operator by a learner is a preset duration, and the operation time is realized through the web end, but practical operation time, such as a task of 1 hour, is effectively carried out, and the shortest operation duration is limited to 20 minutes; the request application refers to the number of remote assistance times sent to a task manager/instructor after the learner encounters difficulty in the practice training process, describes the current task stage, describes the problem and describes the request content, and the configuration parameters of the request application can be 1 time.
The result indexes can comprise indexes such as participation of practical training classroom exercises, reply time (progress), final analysis result report and submission, interactive problem reply in the process and the like. The configuration parameters corresponding to the result index may be: the configuration parameters of participation of the practice problems in the practical teaching class can be 100%, and the difference of the submitting time is not more than 10 minutes (according to the 1-hour task).
S102: and constructing the preset practice training task based on the academic emotion management project by using a network target range.
In this embodiment, the task resources may be configured according to the setting scenario and the learning condition management index corresponding to the learning condition management item by using the network targeting, and the preset practice training task may be constructed according to the configured task resources.
The network shooting range can realize the study condition management project and the study condition management index to each resource and link related to the preset practice training task according to the study condition management project and the study condition management index corresponding to the preset practice training task and the configuration parameters corresponding to the study condition management index. Namely, setting task scenes and parameters of all resources and links related to the preset practice training task according to the learning condition management items and learning condition management indexes corresponding to the preset practice training task and the configuration parameters corresponding to the learning condition management indexes. For example, for an environmental index project, an environmental index range and a monitoring parameter (i.e., configuration parameters corresponding to the environmental index and the environmental index) may be selected first, and after determining a training task, resources required for training (typical learning/practice training tasks include training environment, experimental purpose, background information, required tools/software, dependent network resources/files, an operator (a main object operable by a learner) for learning/practice, a task submission result, a classroom exercise, a manner of encountering a problem request for help, a training instruction manual, a communication manner, and the like).
S103: and monitoring acquisition parameters corresponding to the learning condition management indexes of the preset practice training task in the running process.
The environmental index can be dynamically monitored and analyzed by monitoring the condition of the used resources of the task, and data is fed back. Specifically, if the learning condition management item is an environmental index item, the learning condition management index is an environmental index; the monitoring of the collection parameters corresponding to the learning condition management indexes of the preset practice training task in the running process may be: and monitoring resource use data of a client manipulator in the running process of the preset practice training task, and taking the resource use data as acquisition parameters of environment indexes corresponding to the environment index items.
The student interaction index can be dynamically monitored by submitting data through a student web page. If the learning condition management item is a learner interaction index item, the learning condition management index is a learner interaction index; the monitoring of the collection parameters corresponding to the learning condition management indexes of the preset practice training task in the running process may be: monitoring the submitted data of a client manipulator of the preset practice training task in the running process; wherein the commit data includes at least one of: engagement, activity time, number of requests; and taking the submitted data as acquisition parameters of the student interaction indexes corresponding to the student interaction index items.
The result index can be monitored and analyzed in real time through a web interface or a web interface submitted by the operation of a client and the comparison condition of the result, and the result generated by the analysis is alarmed and fed back. If the learning condition management item is a result index item, the learning condition management index is a result index; the monitoring of the collection parameters corresponding to the learning condition management indexes of the preset practice training task in the running process may be: monitoring result data of a client manipulator of the preset practice training task in the running process; wherein the result data comprises at least one of: participation condition of practice exercises in a practical training classroom, reply progress, analysis result report submission condition and interaction problem reply condition; and taking the result data as acquisition parameters of the result indexes corresponding to the result index items.
S104: determining a monitoring analysis result according to the acquisition parameters corresponding to the science emotion management indexes and the configuration parameters corresponding to the science emotion management indexes;
s105: and if the monitoring analysis result meets the preset condition, carrying out alarm prompt and/or information feedback.
In this embodiment, after the acquisition parameters corresponding to the learning condition management index and the configuration parameters corresponding to the learning condition management index are obtained, the monitoring analysis result may be determined according to the acquisition parameters corresponding to the learning condition management index and the configuration parameters corresponding to the learning condition management index. The monitoring analysis result may include that the collection parameter corresponding to the learning condition management index accords with the configuration parameter corresponding to the learning condition management index, and that the collection parameter corresponding to the learning condition management index does not accord with the configuration parameter corresponding to the learning condition management index. If the monitoring analysis result meets the preset condition, carrying out alarm prompt and/or information feedback; the preset condition may be that the collection parameters corresponding to the learning condition management index do not conform to the configuration parameters corresponding to the learning condition management index, and in this case, alarm prompt and/or information feedback are required.
For example, taking the resource utilization rate of the client manipulator as an example, the resource utilization rate can be configured to be more than 90% and more than 2 minutes, an alarm is generated, the name of a student and the task content to which the student belongs are given, and the alarm content informs a task manager/instructor of the stage (such as time of progress) so as to perform intervention work; taking the resource time of a client operator as an example, a certain student does not use the practice training scene, or the duration is very short, no access operation is performed for more than 30 minutes, and the like, and the operation notification is adopted; taking the participation degree as an example, 100% of students participate in the default situation, the situation that the students cannot enter the practice training environment within a limited time period can be brought into abnormal situations, the alarm informs task management personnel/instructors, the time period is determined according to the task duration, for example, the task of 1 hour, and the whole students need to participate in training within 20 minutes after the task is started; taking the activity time as an example, the time of operating a client operator by a learner is realized through a web end, but the practical operation time, such as a task of 1 hour, is effectively carried out, the shortest operation time is limited to 20 minutes, and the task manager/instructor is informed in an alarm mode when the effective time is not reached; taking a request application as an example, the problem that a learner encounters difficulty in the practice training process is solved, after the current task stage description, the problem description and the request content description are performed, the number of remote assistance times sent to a task manager/instructor is more than 1 time by default, the alarm notification is required, and the final number of times is summarized and counted.
In one implementation, the method may further include: monitoring the real-time condition of the client manipulator in the running process of the preset practice training task to obtain monitoring data; and analyzing and processing the monitoring data. In this embodiment, a learner performs practice training by operating a client operator, and generally performs remote desktop operation management by adopting an RFB protocol or an RDP protocol through a web end, for example, VNC software of the web end adopting the RFB protocol, so as to implement various operations of the client operator through a browser, and provide an effect of directly accessing and operating a computer on the same site; meanwhile, the technology can provide multi-user operation (such as student operation, teacher synchronous viewing condition, or teacher operation, student viewing and the like), and can be realized through configuration of a server, and operations such as screen capturing, video recording and the like of the student operation. In this embodiment, the real-time situation of the learner using the client-side operation machine may be monitored, multiple paths of monitoring may be performed simultaneously, and operations such as scoring, evaluating, remarking, etc. may be performed for the learner operation, and at the same time, real-time intervention and processing may also be performed in response to the online assistance application of the learner.
According to the technical scheme, the learning condition management project, the learning condition management index and the configuration parameters corresponding to the learning condition management index corresponding to the preset practice training task are obtained; constructing the preset practice training task based on the academic emotion management project by utilizing a network target range; monitoring acquisition parameters corresponding to the learning condition management indexes of the preset practice training task in the running process; determining a monitoring analysis result according to the acquisition parameters corresponding to the science emotion management indexes and the configuration parameters corresponding to the science emotion management indexes; and if the monitoring analysis result meets the preset condition, carrying out alarm prompt and/or information feedback. According to the method, the learning condition management of the network safety skills is divided into a plurality of learning condition management items by combining the practical training application characteristics of the network target range, the learning condition management indexes of the plurality of learning condition management items are defined, issued, executed and the like, the acquisition parameters corresponding to the learning condition management indexes of the preset practical training task in the operation process are monitored, the monitoring analysis result and the like are determined according to the acquisition parameters corresponding to the learning condition management indexes and the configuration parameters corresponding to the learning condition management indexes, and if the monitoring analysis result meets preset conditions, alarm prompt and/or information feedback are carried out. Therefore, through the learning condition management project and the learning condition management index corresponding to the preset practice training task, the skill learning effect of the preset practice training task can be improved, the management problem of the existing practice training process is solved, and the learning efficiency is finally improved.
That is, the embodiment can realize direct intervention by setting, monitoring analysis and alarming of index items and combining an operation video monitoring technology, ensure effective development of practical training tasks and real-time control of abnormal conditions, simultaneously track and monitor students on an operation level, timely discover abnormal conditions, provide remote help, ensure improvement of operation skills, realize practical training study with data, supervision and effectiveness, and promote the effectiveness of a network target range in terms of learning condition management.
In the embodiment, according to the practical training task drawn by the learner, the learning condition management is started, and the learning condition management items, the selected index items and the parameters are configured; the defined content is divided into: environmental index, student interaction index and result index. The network target range is to put index items on each resource related to the task according to the set condition and the monitoring index, wherein the environment index is dynamically monitored and analyzed by monitoring the condition of the used resource of the task, and the data is fed back; the system comprises a student interaction index, a result index and a result comparison condition, wherein the student interaction index is dynamically monitored by submitting data through a student web page, and the result index is monitored and analyzed in real time by operating the submitted web interface and the result comparison condition through a web interface or a client; and alarming and feeding back the result generated by analysis. Various operations of the client manipulator are performed through the browser, and the effect of directly accessing and operating the computer on the same site is provided; meanwhile, the technology can provide multi-user operation (such as student operation, teacher synchronous viewing condition, or teacher operation, student viewing and the like), and can be realized through configuration of a server, and operations such as screen capturing, video recording and the like of the student operation.
Therefore, the embodiment can combine the practical training and application characteristics of the network target range, divide the study condition management of the network security skills into three parts such as environment, people, results and the like, respectively define, issue, execute and the like index items on the three parts, realize the strategy formulation, issue and execute, abnormal alarm, statistical analysis and the like of the three parts, and adopt a monitoring means to carry out the whole course to follow the study condition of the students, carry out study evaluation and process abnormal conditions, and ensure the efficient development of the study activities. Through two modes of index item monitoring and operation monitoring, the skill learning effect is improved.
Fig. 2 shows an embodiment of a learning condition management device based on a network shooting range according to the present application. The apparatus of this embodiment is an entity apparatus for performing the method of the foregoing embodiment. The technical solution is essentially identical to the above embodiment, and the corresponding description in the above embodiment is also applicable to this embodiment. The device in this embodiment includes:
an information obtaining unit 201, configured to obtain a learning condition management item, a learning condition management index, and a configuration parameter corresponding to the learning condition management index corresponding to a preset practice training task;
a task construction unit 202, configured to construct the preset practice training task based on the learning condition management item by using a network target range;
the parameter monitoring unit 203 is configured to monitor an acquisition parameter corresponding to a learning condition management index of the preset practice training task in the running process;
the monitoring analysis unit 204 is configured to determine a monitoring analysis result according to the collection parameter corresponding to the learning condition management index and the configuration parameter corresponding to the learning condition management index;
and the prompt feedback unit 205 is configured to perform alarm prompt and/or information feedback if the monitoring analysis result meets a preset condition.
Optionally, the learning condition management item includes: environmental index items, learner interaction index items, and result index items.
Optionally, the learning condition management index includes: environmental index, student interaction index, result index.
Optionally, the task building unit 202 is specifically configured to:
and configuring task resources by utilizing a network targeting field according to the set scene and the learning condition management index corresponding to the learning condition management project, and constructing a preset practice training task according to the configured task resources.
Optionally, if the learning condition management item is an environmental index item, the learning condition management index is an environmental index; the monitoring of the collection parameters corresponding to the learning condition management indexes of the preset practice training task in the running process comprises the following steps:
and monitoring resource use data of a client manipulator in the running process of the preset practice training task, and taking the resource use data as acquisition parameters of environment indexes corresponding to the environment index items.
Optionally, if the learning condition management item is a learner interaction index item, the learning condition management index is a learner interaction index; the parameter monitoring unit 203 is configured to:
monitoring the submitted data of a client manipulator of the preset practice training task in the running process; wherein the commit data includes at least one of: engagement, activity time, number of requests;
and taking the submitted data as acquisition parameters of the student interaction indexes corresponding to the student interaction index items.
Optionally, if the learning condition management item is a result index item, the learning condition management index is a result index; the parameter monitoring unit 203 is configured to:
monitoring result data of a client manipulator of the preset practice training task in the running process; wherein the result data comprises at least one of: participation condition of practice exercises in a practical training classroom, reply progress, analysis result report submission condition and interaction problem reply condition;
and taking the result data as acquisition parameters of the result indexes corresponding to the result index items.
Optionally, the device further comprises a monitoring unit for:
monitoring the real-time condition of the client manipulator in the running process of the preset practice training task to obtain monitoring data; and analyzing and processing the monitoring data.
Therefore, the device combines the practical training application characteristics of the network target range, divides the learning condition management of the network security skills into a plurality of learning condition management items, respectively defines, issues, executes and the like the learning condition management indexes of the plurality of learning condition management items, monitors the acquisition parameters corresponding to the learning condition management indexes of the preset practical training task in the running process, determines the monitoring analysis result and the like according to the acquisition parameters corresponding to the learning condition management indexes and the configuration parameters corresponding to the learning condition management indexes, and carries out alarm prompt and/or information feedback if the monitoring analysis result meets the preset condition. Therefore, through the learning condition management project and the learning condition management index corresponding to the preset practice training task, the skill learning effect of the preset practice training task can be improved, the management problem of the existing practice training process is solved, and the learning efficiency is finally improved.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application. At the hardware level, the electronic device comprises a processor, optionally an internal bus, a network interface, a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory (non-volatile Memory), such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.
The processor, network interface, and memory may be interconnected by an internal bus, which may be an ISA (Industry StandardArchitecture ) bus, a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus, or EISA (Extended Industry StandardArchitecture ) bus, among others. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one bi-directional arrow is shown in FIG. 3, but not only one bus or type of bus.
And the memory is used for storing the execution instruction. In particular, a computer program that executes instructions may be executed. The memory may include memory and non-volatile storage and provide the processor with instructions and data for execution.
In one possible implementation manner, the processor reads the corresponding execution instruction from the nonvolatile memory to the memory and then executes the execution instruction, and may also acquire the corresponding execution instruction from other devices, so as to form the learning condition management device based on the network range on a logic level. The processor executes the execution instructions stored in the memory to implement the network-based range-based approach to emotion management provided in any of the embodiments of the present application by executing the execution instructions.
The method executed by the learning condition management device based on the network target range according to the embodiment shown in fig. 1 of the present application may be applied to a processor or implemented by the processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or by instructions in the form of software. The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field-Programmable gate arrays (FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The steps of a method disclosed in connection with the embodiments of the present application may be embodied directly in hardware, in a decoded processor, or in a combination of hardware and software modules in a decoded processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method.
The embodiment of the application also provides a readable medium, wherein the readable storage medium stores execution instructions, and when the stored execution instructions are executed by a processor of an electronic device, the electronic device can be enabled to execute the learning condition management method based on the network target range provided in any embodiment of the application, and the method is specifically used for executing the learning condition management method based on the network target range.
The electronic device described in the foregoing embodiments may be a computer.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method or a computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or a combination of software and hardware aspects.
All embodiments in the application are described in a progressive manner, and identical and similar parts of all embodiments are mutually referred, so that each embodiment mainly describes differences from other embodiments. In particular, for the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments in part.
It should also be noted that 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 one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (10)
1. A method for managing a learning situation based on a network range, the method comprising:
acquiring a learning condition management project, a learning condition management index corresponding to a preset practice training task and configuration parameters corresponding to the learning condition management index;
constructing the preset practice training task based on the academic emotion management project by utilizing a network target range;
monitoring acquisition parameters corresponding to the learning condition management indexes of the preset practice training task in the running process;
determining a monitoring analysis result according to the acquisition parameters corresponding to the science emotion management indexes and the configuration parameters corresponding to the science emotion management indexes;
and if the monitoring analysis result meets the preset condition, carrying out alarm prompt and/or information feedback.
2. The method of claim 1, wherein the study management item comprises: environmental index items, learner interaction index items, and result index items.
3. The method of claim 2, wherein the emotion management index comprises: environmental index, student interaction index, result index.
4. The method of claim 1, wherein constructing the pre-set practice training task based on the academic emotion management item using a network stadium comprises:
and configuring task resources by utilizing a network targeting field according to the set scene and the learning condition management index corresponding to the learning condition management project, and constructing a preset practice training task according to the configured task resources.
5. The method of claim 1, wherein if the science case management item is an environmental index item, the science case management index is an environmental index; the monitoring of the collection parameters corresponding to the learning condition management indexes of the preset practice training task in the running process comprises the following steps:
and monitoring resource use data of a client manipulator in the running process of the preset practice training task, and taking the resource use data as acquisition parameters of environment indexes corresponding to the environment index items.
6. The method of claim 1, wherein if the academic emotion management item is a learner interaction index item, the academic emotion management index is a learner interaction index; the monitoring of the collection parameters corresponding to the learning condition management indexes of the preset practice training task in the running process comprises the following steps:
monitoring the submitted data of a client manipulator of the preset practice training task in the running process; wherein the commit data includes at least one of: engagement, activity time, number of requests;
and taking the submitted data as acquisition parameters of the student interaction indexes corresponding to the student interaction index items.
7. The method of claim 1, wherein if the science case management item is a result index item, the science case management index is a result index; the monitoring of the collection parameters corresponding to the learning condition management indexes of the preset practice training task in the running process comprises the following steps:
monitoring result data of a client manipulator of the preset practice training task in the running process; wherein the result data comprises at least one of: participation condition of practice exercises in a practical training classroom, reply progress, analysis result report submission condition and interaction problem reply condition;
and taking the result data as acquisition parameters of the result indexes corresponding to the result index items.
8. The method according to claim 1, wherein the method further comprises:
monitoring the real-time condition of the client manipulator in the running process of the preset practice training task to obtain monitoring data; and analyzing and processing the monitoring data.
9. A device for managing a study based on a network range, the device comprising:
the information acquisition unit is used for acquiring a study management project, a study management index and configuration parameters corresponding to the study management index, which correspond to a preset practice training task;
the task construction unit is used for constructing the preset practice training task based on the learning condition management project by utilizing a network shooting range;
the parameter monitoring unit is used for monitoring acquisition parameters corresponding to the learning condition management indexes of the preset practice training task in the running process;
the monitoring analysis unit is used for determining a monitoring analysis result according to the acquisition parameters corresponding to the learning condition management indexes and the configuration parameters corresponding to the learning condition management indexes;
and the prompt feedback unit is used for carrying out alarm prompt and/or information feedback if the monitoring analysis result meets the preset condition.
10. An electronic device comprising a processor and a memory storing execution instructions, the processor performing the method of any of claims 1-8 when the processor executes the execution instructions stored in the memory.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112380896A (en) * | 2020-09-30 | 2021-02-19 | 深圳点猫科技有限公司 | Classroom learning situation analysis method, device and equipment |
| CN116055089A (en) * | 2022-11-08 | 2023-05-02 | 北京永信至诚科技股份有限公司 | Training evaluation method and device for network target range |
| CN116227729A (en) * | 2023-03-20 | 2023-06-06 | 广州工程技术职业学院 | Learning evaluation method, device and equipment based on machine learning |
| CN116781568A (en) * | 2022-11-09 | 2023-09-19 | 中移(苏州)软件技术有限公司 | Data monitoring alarm method, device, equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112380896A (en) * | 2020-09-30 | 2021-02-19 | 深圳点猫科技有限公司 | Classroom learning situation analysis method, device and equipment |
| CN116055089A (en) * | 2022-11-08 | 2023-05-02 | 北京永信至诚科技股份有限公司 | Training evaluation method and device for network target range |
| CN116781568A (en) * | 2022-11-09 | 2023-09-19 | 中移(苏州)软件技术有限公司 | Data monitoring alarm method, device, equipment and storage medium |
| CN116227729A (en) * | 2023-03-20 | 2023-06-06 | 广州工程技术职业学院 | Learning evaluation method, device and equipment based on machine learning |
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