CN112394866A - Training processing method and device - Google Patents

Training processing method and device Download PDF

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CN112394866A
CN112394866A CN202011296502.5A CN202011296502A CN112394866A CN 112394866 A CN112394866 A CN 112394866A CN 202011296502 A CN202011296502 A CN 202011296502A CN 112394866 A CN112394866 A CN 112394866A
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training
data
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demonstration
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王晓春
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Delian Yikong Technology Beijing Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0484Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/16Sound input; Sound output
    • G06F3/167Audio in a user interface, e.g. using voice commands for navigating, audio feedback
    • GPHYSICS
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    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06398Performance of employee with respect to a job function
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q50/205Education administration or guidance
    • G06Q50/2057Career enhancement or continuing education service

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Abstract

The invention discloses a training processing method and device. Wherein, the method comprises the following steps: responding to a data display instruction acting on a graphical user interface, and displaying training operation data corresponding to the data display instruction in the graphical user interface, wherein the training operation data comprises one of the following data: operating and demonstrating video data and audio data; obtaining training feedback data of a training subject, wherein the training feedback data comprises at least one of: real-time operation data, learning progress data and assessment score data; and determining a training result of the training subject according to the training feedback data. The invention solves the technical problems that the training efficiency is low and the training result is difficult to evaluate in the conventional mode of manually training new staff in the prior art.

Description

Training processing method and device
Technical Field
The invention relates to the technical field of training, in particular to a training processing method and device.
Background
In the prior art, the conventional manual training of new staff has many defects and drawbacks, for example, the training efficiency is low, the training effect is poor, the time consumption is long, the capability assessment is not obvious, and the like; moreover, the audience population such as automobile insurance accident risk experts, rule writers and the like which work most specially is small, the society does not have special training for the special profession at present, and the technology aiming at professional training in the prior art is not perfect due to the fact that a lot of professional terms are involved in the training process, the meanings of professional names applied in different scenes are different, and the professional names are limited by a specific system and limited by professionalism.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a training processing method and device, which at least solve the technical problems that the training efficiency is low and the training result is difficult to evaluate in a conventional manual new employee training mode in the prior art.
According to an aspect of an embodiment of the present invention, there is provided a training processing method applied to a terminal device, where a graphical user interface is rendered in the terminal device, including: responding to a data display instruction acting on the graphical user interface, and displaying training operation data corresponding to the data display instruction in the graphical user interface, wherein the training operation data comprises one of the following data: operating and demonstrating video data and audio data; obtaining training feedback data of a training subject, wherein the training feedback data comprises at least one of: real-time operation data, learning progress data and assessment score data; and determining a training result of the training subject according to the training feedback data.
Optionally, before the training operation data corresponding to the data presentation instruction is presented in the graphical user interface, the method further includes: displaying an instruction input control in the graphical user interface; receiving the data display instruction through the instruction input control, wherein the data display instruction includes one of the following instructions: video data playing instructions and audio data playing instructions.
Optionally, if the data display instruction includes: the video data playing instruction and the audio data playing instruction show training operation data corresponding to the data showing instruction in the graphical user interface, and the method comprises the following steps: and synchronously displaying the operation demonstration video data and the operation demonstration audio data in the graphical user interface, wherein the operation demonstration audio data is at least used for synchronously reading the demonstration operation in the operation demonstration video data.
Optionally, before the training operation data corresponding to the data presentation instruction is presented in the graphical user interface, the method further includes: acquiring demonstration operation rules and training knowledge data stored in a pre-established training knowledge base, wherein the training knowledge data comprises at least one of the following data: skill knowledge data, training operation description data and training case data; and generating the training operation data according to the demonstration operation rule and the training knowledge data.
Optionally, determining a training result of the training subject according to the training feedback data includes: analyzing the training feedback data according to the training knowledge data and/or the training operation data to obtain an analysis result; determining a training result of the training subject based on the analysis result.
After determining a training result for the training subject based on the training feedback data, the method further comprises: and displaying the training result in the graphical user interface.
According to another aspect of the embodiments of the present invention, there is provided a training processing apparatus applied in a terminal device, in which a graphical user interface is rendered, including: a display module, configured to display, in response to a data display instruction acting on the graphical user interface, training operation data corresponding to the data display instruction in the graphical user interface, where the training operation data includes one of: operating and demonstrating video data and audio data; a first obtaining module, configured to obtain training feedback data of a training subject, where the training feedback data includes at least one of: real-time operation data, learning progress data and assessment score data; and the determining module is used for determining the training result of the training object according to the training feedback data.
Optionally, if the data display instruction includes: the display module is further configured to synchronously display the operation demonstration video data and the operation demonstration audio data in the graphical user interface, where the operation demonstration audio data is at least used to synchronously decode demonstration operations in the operation demonstration video data.
Optionally, the apparatus further comprises: the second acquisition module is used for acquiring demonstration operation rules and training knowledge data stored in a pre-established training knowledge base, wherein the training knowledge data comprises at least one of the following data: skill knowledge data, training operation description data and training case data; and the generating module is used for generating the training operation data according to the demonstration operation rule and the training knowledge data.
According to another aspect of the embodiment of the invention, a non-volatile storage medium is further provided, wherein the non-volatile storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing any one training processing method.
According to another aspect of the embodiments of the present invention, there is also provided an electronic device, including: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform any one of the training processing methods.
In the embodiment of the invention, an AI intelligent training terminal is adopted to perform training, and training operation data corresponding to a data display instruction is displayed in a graphical user interface by responding to the data display instruction acting on the graphical user interface in terminal equipment, wherein the training operation data comprises one of the following data: operating and demonstrating video data and audio data; obtaining training feedback data of a training subject, wherein the training feedback data comprises at least one of: real-time operation data, learning progress data and assessment score data; the training result of the training object is determined according to the training feedback data, the purposes of improving the training efficiency and timely and effectively evaluating the training result are achieved, the technical effects of improving the training effect and shortening the training period are achieved, and the technical problems that in the prior art, the training efficiency is low and the training result is difficult to evaluate due to a conventional manual new staff training mode are solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow diagram of a training processing method according to an embodiment of the invention;
FIG. 2 is a schematic diagram of an alternative human-machine interface according to an embodiment of the invention;
FIG. 3 is a block diagram of an implementation framework for optional intelligent position training, according to an embodiment of the invention;
fig. 4 is a schematic structural diagram of a training processing apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
In accordance with an embodiment of the present invention, there is provided an embodiment of a training processing method, it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than presented herein.
The training processing method in the embodiment of the present application may be applied to a terminal device, a graphical user interface is rendered in the terminal device, fig. 1 is a flowchart of a training processing method according to an embodiment of the present invention, and as shown in fig. 1, the method includes the following steps:
step S102, responding to a data display instruction acting on a graphical user interface, and displaying training operation data corresponding to the data display instruction in the graphical user interface, wherein the training operation data comprises one of the following data: operating and demonstrating video data and audio data;
step S104, training feedback data of a training object is obtained, wherein the training feedback data comprises at least one of the following data: real-time operation data, learning progress data and assessment score data;
and S106, determining a training result of the training object according to the training feedback data.
In the embodiment of the invention, an AI intelligent training terminal is adopted to perform training, and training operation data corresponding to a data display instruction is displayed in a graphical user interface by responding to the data display instruction acting on the graphical user interface in terminal equipment, wherein the training operation data comprises one of the following data: operating and demonstrating video data and audio data; obtaining training feedback data of a training subject, wherein the training feedback data comprises at least one of: real-time operation data, learning progress data and assessment score data; the training result of the training object is determined according to the training feedback data, the purposes of improving the training efficiency and timely and effectively evaluating the training result are achieved, the technical effects of improving the training effect and shortening the training period are achieved, and the technical problems that in the prior art, the training efficiency is low and the training result is difficult to evaluate due to a conventional manual new staff training mode are solved.
As an optional embodiment, the terminal device in the embodiment of the present application may be a training terminal, for example, a robot for training or lecturing, which may be applied in a training scenario before a new employee who is on duty at a post with a high specialty, and is implemented through AI intelligence, and is a non-manual training mechanism. The terminal equipment can realize the autonomous operation of the AI intelligence brain on the existing system with strong specialty or the autonomously developed software and can be displayed in a graphical user interface in real time.
Optionally, the data display instruction includes: the video data playing instruction and the audio data playing instruction are displayed in the graphical user interface, a first control used for receiving the video data playing instruction and a second control used for receiving the audio data playing instruction are displayed in the graphical user interface, and training operation data corresponding to the data displaying instruction, such as operation demonstration video data and/or operation demonstration audio data, are displayed in the graphical user interface by responding to the video data playing instruction and/or the audio data playing instruction acting on the graphical user interface.
In an embodiment of the present application, after the training operation data corresponding to the data display instruction is displayed in the graphical user interface, training feedback data of a training subject may be further obtained, where the training feedback data includes at least one of: real-time operation data, learning progress data and assessment score data; and determining a training result of the training subject according to the training feedback data.
As shown in fig. 2, the graphical user interface is a human-computer interaction interface, and may perform basic communication, AI question answering, AI autonomic operation demonstration, AI autonomic examination evaluation, and the like.
As an alternative embodiment, the terminal device can demonstrate actions through the practice of the AI intelligence and attach voice commentary, so that trained personnel can understand specific operation logic and operation actions very intuitively; the AI intelligence system can assess the training subjects and give training results corresponding to the assessment subjects, for example, individual assessment reports for determining the comprehensive evaluation of the training subjects according to the training feedback data, and provide the training results to the management layer for review, based on the real-time operation data, the learning progress data, the assessment result data, and the like of the training subjects.
As shown in fig. 3, the training terminal is implemented by means of an intelligent post training technology, a brain-independent operation rule system in the training terminal needs to be supported by a rule writing module, a demonstration operation execution machine is in the rule system but controlled by a brain-demonstration operation command machine, the command machine gives an operation command, and the demonstration machine executes the operation command; the human-computer communication module in the AI intelligence mainly realizes the recognition of human instructions or communication contents (including input instructions, text communication contents, voice instructions, voice communication contents and the like); analyzing the instruction or the communication content; the knowledge base analysis extractor in the AI brain mainly outputs and executes voice data or text data required by interaction in a synchronous manner in cooperation with demonstration operation actions; the professional knowledge base mainly stores corresponding skill knowledge data, professional operation description data, case data and the like, and provides a source for synchronously outputting data in cooperation with demonstration operation; in the process of realizing the human-computer interaction, the system automatically and intelligently performs actual operation and demonstrates and explains functions; the technology can finally provide a multidimensional individual assessment analysis report to management layer personnel.
By the embodiment of the application, the efficiency of the pre-post training can be effectively improved, the training cost is reduced, and the constraint of artificial inherent thinking is broken through; the fixed thinking of artificially teaching AI is broken by AI, and in the future, the AI can teach people and people; the future development is more accurate, and key constraint is broken, or when social uniform resource sharing is achieved, other industry fields can be expanded to benefit.
In an optional embodiment, before presenting the training operation data corresponding to the data presentation instruction in the graphical user interface, the method further includes:
step S202, displaying an instruction input control in the graphical user interface;
step S204, receiving the data display instruction through the instruction input control, where the data display instruction includes one of the following instructions: video data playing instructions and audio data playing instructions.
As an optional embodiment, a first control for receiving a video data playing instruction and a second control for receiving an audio data playing instruction are displayed in the graphical user interface, and by responding to the video data playing instruction and/or the audio data playing instruction acting on the graphical user interface, the operation demonstration video data corresponding to the video data playing instruction is displayed in the graphical user interface, and the operation demonstration audio data corresponding to the audio data playing instruction is displayed in the graphical user interface.
In an alternative embodiment, if the data presentation instruction includes: the video data playing instruction and the audio data playing instruction show training operation data corresponding to the data showing instruction in the graphical user interface, and the method comprises the following steps:
step S302, synchronously displaying the operation demonstration video data and the operation demonstration audio data in the graphical user interface, where the operation demonstration audio data is at least used for synchronously reading the demonstration operations in the operation demonstration video data.
In the above optional embodiment, when the data display instruction includes the video data playing instruction and the audio data playing instruction, the operation demonstration video data and the operation demonstration audio data may be displayed in the graphical user interface synchronously, so that the operation demonstration audio data may be interpreted synchronously in the process of playing the demonstration operation in the operation demonstration video data.
As an optional embodiment, before presenting the training operation data corresponding to the data presentation instruction in the graphical user interface, the method further includes:
step S402, obtaining demonstration operation rules and training knowledge data stored in a pre-established training knowledge base, wherein the training knowledge data comprises at least one of the following data: skill knowledge data, training operation description data and training case data;
and S404, generating the training operation data according to the demonstration operation rule and the training knowledge data.
In the above optional embodiment, before the training operation data corresponding to the data display instruction is displayed in the graphical user interface, a demonstration operation rule and training knowledge data stored in a pre-established training knowledge base, such as skill knowledge data, training operation description data, and training case data, may also be acquired; and generating the training operation data according to the demonstration operation rule and the training knowledge data.
As another alternative embodiment, determining the training result of the training subject according to the training feedback data includes:
step S502, analyzing the training feedback data according to the training knowledge data and/or the training operation data to obtain an analysis result;
and step S504, determining the training result of the training object based on the analysis result.
After determining a training result for the training subject based on the training feedback data, the method further comprises: and displaying the training result in the graphical user interface.
In the above-described alternative embodiment, the training feedback data is analyzed according to the training knowledge data and/or the training operation data, for example, the training feedback data is scored, graded, evaluated, and the like, and the training result of the training subject is determined based on the analysis result.
In the embodiment of the invention, an AI intelligent training terminal is adopted to perform training, and training operation data corresponding to a data display instruction is displayed in a graphical user interface by responding to the data display instruction acting on the graphical user interface in terminal equipment, wherein the training operation data comprises one of the following data: operating and demonstrating video data and audio data; obtaining training feedback data of a training subject, wherein the training feedback data comprises at least one of: real-time operation data, learning progress data and assessment score data; the training result of the training object is determined according to the training feedback data, the purposes of improving the training efficiency and timely and effectively evaluating the training result are achieved, the technical effects of improving the training effect and shortening the training period are achieved, and the technical problems that in the prior art, the training efficiency is low and the training result is difficult to evaluate due to a conventional manual new staff training mode are solved.
Example 2
According to an embodiment of the present invention, an embodiment of an apparatus for implementing the training processing method is further provided, where the training processing apparatus provided in the embodiment of the present application is applied to a terminal device, and a graphical user interface is rendered in the terminal device, and fig. 4 is a schematic structural diagram of a training processing apparatus according to an embodiment of the present invention, and as shown in fig. 4, the training processing apparatus includes: a presentation module 40, a first acquisition module 42, and a determination module 44, wherein:
a display module 40, configured to display, in response to a data display instruction acting on the graphical user interface, training operation data corresponding to the data display instruction in the graphical user interface, where the training operation data includes one of: operating and demonstrating video data and audio data; a first obtaining module 42 configured to obtain training feedback data of a training subject, wherein the training feedback data includes at least one of: real-time operation data, learning progress data and assessment score data; a determining module 44 for determining a training result of the training subject according to the training feedback data.
In an alternative embodiment, if the data presentation instruction includes: the display module is further configured to synchronously display the operation demonstration video data and the operation demonstration audio data in the graphical user interface, where the operation demonstration audio data is at least used to synchronously decode demonstration operations in the operation demonstration video data.
In an optional embodiment, the apparatus further comprises: the second acquisition module is used for acquiring demonstration operation rules and training knowledge data stored in a pre-established training knowledge base, wherein the training knowledge data comprises at least one of the following data: skill knowledge data, training operation description data and training case data; and the generating module is used for generating the training operation data according to the demonstration operation rule and the training knowledge data.
In an optional embodiment, the determining module is further configured to analyze the training feedback data according to the training knowledge data and/or the training operation data to obtain an analysis result; evaluating a training result of the training subject based on the analysis result; the display module is further used for displaying the training results in the graphical user interface.
It should be noted that the above modules may be implemented by software or hardware, for example, for the latter, the following may be implemented: the modules can be located in the same processor; alternatively, the modules may be located in different processors in any combination.
It should be noted that the display module 40, the first obtaining module 42 and the determining module 44 correspond to steps S102 to S106 in embodiment 1, and the modules are the same as the corresponding steps in the implementation example and the application scenario, but are not limited to the disclosure in embodiment 1. It should be noted that the modules described above may be implemented in a computer terminal as part of an apparatus.
It should be noted that, reference may be made to the relevant description in embodiment 1 for alternative or preferred embodiments of this embodiment, and details are not described here again.
The training processing device may further include a processor and a memory, and the display module 40, the first obtaining module 42, the determining module 44, and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to implement corresponding functions.
The processor comprises a kernel, and the kernel calls a corresponding program unit from the memory, wherein one or more than one kernel can be arranged. The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
According to the embodiment of the application, the embodiment of the nonvolatile storage medium is also provided. Optionally, in this embodiment, the nonvolatile storage medium includes a stored program, and the device where the nonvolatile storage medium is located is controlled to execute any one of the training processing methods when the program runs.
Optionally, in this embodiment, the nonvolatile storage medium may be located in any one of a group of computer terminals in a computer network, or in any one of a group of mobile terminals, and the nonvolatile storage medium includes a stored program.
Optionally, the apparatus in which the non-volatile storage medium is controlled to perform the following functions when the program is executed: responding to a data display instruction acting on a graphical user interface, and displaying training operation data corresponding to the data display instruction in the graphical user interface, wherein the training operation data comprises one of the following data: operating and demonstrating video data and audio data; obtaining training feedback data of a training subject, wherein the training feedback data comprises at least one of: real-time operation data, learning progress data and assessment score data; and determining a training result of the training subject according to the training feedback data.
According to the embodiment of the application, the embodiment of the processor is also provided. Optionally, in this embodiment, the processor is configured to execute a program, where the program executes any one of the training processing methods.
The embodiment of the application provides an electronic device, the device comprises a processor, a memory and a program which is stored on the memory and can be run on the processor, and the processor executes the program and realizes the following steps: responding to a data display instruction acting on a graphical user interface, and displaying training operation data corresponding to the data display instruction in the graphical user interface, wherein the training operation data comprises one of the following data: operating and demonstrating video data and audio data; obtaining training feedback data of a training subject, wherein the training feedback data comprises at least one of: real-time operation data, learning progress data and assessment score data; and determining a training result of the training subject according to the training feedback data.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: responding to a data display instruction acting on a graphical user interface, and displaying training operation data corresponding to the data display instruction in the graphical user interface, wherein the training operation data comprises one of the following data: operating and demonstrating video data and audio data; obtaining training feedback data of a training subject, wherein the training feedback data comprises at least one of: real-time operation data, learning progress data and assessment score data; and determining a training result of the training subject according to the training feedback data.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable non-volatile storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a non-volatile storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned nonvolatile storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims (10)

1. A training processing method is applied to terminal equipment, a graphical user interface is rendered in the terminal equipment, and the method comprises the following steps:
responding to a data display instruction acting on the graphical user interface, and displaying training operation data corresponding to the data display instruction in the graphical user interface, wherein the training operation data comprises one of the following data: operating and demonstrating video data and audio data;
obtaining training feedback data for a training subject, wherein the training feedback data includes at least one of: real-time operation data, learning progress data and assessment score data;
and determining a training result of the training subject according to the training feedback data.
2. The method of claim 1, wherein prior to presenting training operation data corresponding to the data presentation instruction in the graphical user interface, the method further comprises:
displaying an instruction input control in the graphical user interface;
receiving the data presentation instruction through the instruction input control, wherein the data presentation instruction comprises one of the following instructions: video data playing instructions and audio data playing instructions.
3. The method of claim 1, wherein if the data presentation instruction comprises: the video data playing instruction and the audio data playing instruction show training operation data corresponding to the data showing instruction in the graphical user interface, and the method comprises the following steps:
synchronously displaying the operation demonstration video data and the operation demonstration audio data in the graphical user interface, wherein the operation demonstration audio data are at least used for synchronously reading demonstration operations in the operation demonstration video data.
4. The method of claim 1, wherein prior to presenting training operation data corresponding to the data presentation instruction in the graphical user interface, the method further comprises:
acquiring demonstration operation rules and training knowledge data stored in a pre-established training knowledge base, wherein the training knowledge data comprises at least one of the following: skill knowledge data, training operation description data and training case data;
and generating the training operation data according to the demonstration operation rule and the training knowledge data.
5. The method of claim 4,
determining a training result for the training subject based on the training feedback data, comprising: analyzing the training feedback data according to the training knowledge data and/or the training operation data to obtain an analysis result; determining a training result of the training subject based on the analysis result;
after determining a training result for the training subject from the training feedback data, the method further comprises: displaying the training results in the graphical user interface.
6. The training processing device is applied to a terminal device, a graphical user interface is rendered in the terminal device, and the training processing device comprises:
a display module, configured to display, in response to a data display instruction acting on the graphical user interface, training operation data corresponding to the data display instruction in the graphical user interface, where the training operation data includes one of: operating and demonstrating video data and audio data;
a first obtaining module to obtain training feedback data for a training subject, wherein the training feedback data includes at least one of: real-time operation data, learning progress data and assessment score data;
and the determining module is used for determining the training result of the training object according to the training feedback data.
7. The apparatus of claim 6, wherein if the data show instruction comprises: the display module is further configured to synchronously display the operation demonstration video data and the operation demonstration audio data in the graphical user interface, where the operation demonstration audio data is at least used to synchronously interpret demonstration operations in the operation demonstration video data.
8. The apparatus of claim 6, further comprising:
a second obtaining module, configured to obtain demonstration operation rules and training knowledge data stored in a pre-established training knowledge base, where the training knowledge data includes at least one of: skill knowledge data, training operation description data and training case data;
and the generating module is used for generating the training operation data according to the demonstration operation rule and the training knowledge data.
9. A non-volatile storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform the training processing method of any of claims 1 to 5.
10. An electronic device, comprising: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the training processing method of any of claims 1 to 5.
CN202011296502.5A 2020-11-18 2020-11-18 Training processing method and device Pending CN112394866A (en)

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