CN111815134A - Comprehensive scoring method, device, medium and electronic equipment - Google Patents
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Abstract
The disclosure provides a comprehensive scoring method, a comprehensive scoring device, a comprehensive scoring medium and electronic equipment. The method comprises the following steps: acquiring a task group diagram; generating a grid map based on the task group map; sending a grid graph and a random jigsaw to each actual participant terminal; acquiring compliance communication information and predicted position information within preset communication time; determining a composite score for the actual participant based on the compliance communication information and the predicted location information. The disclosure provides a comprehensive scoring method, which not only scores the training results, but also scores the compliance communication information of the participants in the training process. The uniformity, objectivity and accuracy of the scoring are guaranteed. The expense of the lessee site is saved, stranger trainers can be quickly organized together for training, and the real comprehensive score can be obtained. The scoring mode of the difficulty level is gradually improved according to the difficulty level, so that the training level of the participator is gradually improved, and the scoring misalignment is avoided.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a comprehensive scoring method, apparatus, medium, and electronic device.
Background
The improvement of the efficiency of the enterprise team is no longer based on skills, and how to improve the quality of the team so as to improve the performance becomes a preoccupation of the enterprise operator. There are studies showing that: many people who work the same even if they have the same educational background and working experience have a great difference in working efficiency, sometimes up to 20 times. The answer to the difference is the quality, which means the speciality that can directly affect the work result, and the difference of the quality directly leads to the difference of the performance. The difference in personal qualities also leads to the performance of the enterprise team.
Team training is presented to the participants through a series of directional, strategic play sessions. Team members, through their experience and feelings, support the learner in mining the potential ability of self-solving problems, and outright motivate greater possibilities for self-creative value.
Generally, team training can only judge the training effect through the training result, and the performance of each person in the training process can only be judged by subjective judgment to obtain a conclusion, so that the judgment result of each person has subjective difference.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
The present disclosure is directed to a method, an apparatus, a medium, and an electronic device for comprehensive scoring, which can solve at least one of the above-mentioned problems. The specific scheme is as follows:
according to a specific embodiment of the present disclosure, in a first aspect, the present disclosure provides a comprehensive scoring method, including:
acquiring a task group diagram; the task group diagram is composed of a plurality of equilateral hexagonal puzzles based on a preset task group diagram rule, and the borders of the puzzles are different in color; the frame of each jigsaw at least comprises an inner frame adjacent to other jigsaws, and the outer frame of the jigsaw forms the frame of the task group picture; presetting a task group diagram rule, comprising: a symbol is arranged in each jigsaw frame, and the symbols in the adjacent inner frames have a unique symmetrical matching relationship and have uniqueness with the symbols in the outer frame;
generating a grid map based on the task group map; the grid graph is composed of borders of puzzles in the task group graph;
sending a grid graph and a random jigsaw to each actual participant terminal;
acquiring the compliance communication information of the actual participant and other participants based on the puzzle and the grid graph within a preset communication time, and determining the predicted position information of the puzzle in the grid graph by the actual participant within a preset decision time after the preset communication time based on the compliance communication information and the puzzle and the grid graph;
determining a composite score for the actual participant based on the compliance communication information and the predicted location information.
According to a second aspect, the present disclosure provides a comprehensive scoring device, including:
the task group graph acquiring unit is used for acquiring a task group graph; the task group diagram is composed of a plurality of equilateral hexagonal puzzles based on a preset task group diagram rule, and the borders of the puzzles are different in color; the frame of each jigsaw at least comprises an inner frame adjacent to other jigsaws, and the outer frame of the jigsaw forms the frame of the task group picture; presetting a task group diagram rule, comprising: a symbol is arranged in each jigsaw frame, and the symbols in the adjacent inner frames have a unique symmetrical matching relationship and have uniqueness with the symbols in the outer frame;
a grid map generating unit for generating a grid map based on the task group map; the grid graph is composed of borders of puzzles in the task group graph;
a transmitting unit for transmitting a grid map and a random puzzle to each actual participant terminal;
a compliance communication information and predicted position information acquiring unit, configured to acquire compliance communication information of the actual participant with other participants based on the puzzle and the grid map within a preset communication time, and determine predicted position information of the puzzle in the grid map based on the compliance communication information and the puzzle and the grid map by the actual participant within a preset decision time after the preset communication time;
and the comprehensive scoring unit is used for determining the comprehensive scoring of the actual trainee based on the compliance communication information and the prediction position information.
According to a third aspect, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a composite scoring method according to any one of the first aspect.
According to a fourth aspect thereof, the present disclosure provides an electronic device, comprising: one or more processors; a storage device for storing one or more programs that, when executed by the one or more processors, cause the one or more processors to implement the composite scoring method according to any one of the first aspects.
Compared with the prior art, the scheme of the embodiment of the disclosure at least has the following beneficial effects:
the disclosure provides a comprehensive scoring method, a comprehensive scoring device, a comprehensive scoring medium and electronic equipment. The disclosure provides a comprehensive scoring method, which not only scores the training results, but also scores the compliance communication information of the participants in the training process. The uniformity, objectivity and accuracy of the scoring are guaranteed. The expense of the lessee site is saved, stranger trainers can be quickly organized together for training, and the real comprehensive score can be obtained. The scoring mode of the difficulty level is gradually improved according to the difficulty level, so that the training level of the participator is gradually improved, and the scoring misalignment is avoided.
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The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale. In the drawings:
FIG. 1 shows a flow diagram of a composite scoring method according to an embodiment of the present disclosure;
FIG. 2 illustrates a task group diagram of a composite scoring method according to an embodiment of the present disclosure;
fig. 3 illustrates a puzzle according to a comprehensive scoring method in accordance with an embodiment of the present disclosure;
FIG. 4 illustrates a grid diagram of a composite scoring method according to an embodiment of the present disclosure;
FIG. 5 shows a block diagram of elements of a composite scoring device according to an embodiment of the present disclosure;
fig. 6 shows an electronic device connection structure schematic according to an embodiment of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The disclosed embodiment is an application scenario for performing comprehensive scoring according to interaction data through multi-terminal interaction, wherein the application scenario is that a plurality of users operate clients installed on terminal equipment through the terminal equipment such as a mobile phone and the like, and simultaneously keep data communication with a server. As a specific application scenario, for example, after a user logs in a certain APP, the user can host and communicate with other users as one of roles, and complete a predetermined task together. The server receives the communication information and the operation result among the users and makes comprehensive evaluation according to the user scores. But is not limited to this unique application scenario, and it is understood that any scenario that can be applied to the present embodiment is included.
Alternative embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.
The first embodiment provided by the present disclosure, namely, an embodiment of a composite scoring method.
The embodiments of the present disclosure will be described in detail with reference to fig. 1 to 4.
Step S101, acquiring a task group diagram.
As shown in fig. 2 and 3, the task group diagram is composed of a plurality of tiles based on a preset task group diagram rule.
For example, as shown in fig. 2 and 3, the puzzle is an equilateral hexagonal figure, and the border thereof is different in color; the frame of each jigsaw at least comprises an inner frame adjacent to other jigsaws, and the outer frame of the jigsaw forms the frame of the task group picture; the outer frame of the puzzle is the puzzle frame without adjacent frames; presetting a task group diagram rule, comprising: a symbol is arranged in each jigsaw frame, and the symbols in the adjacent inner frames have a unique symmetrical matching relationship and have uniqueness with the symbols in the outer frame; the symbols in the adjacent inner frames have a unique symmetrical matching relationship, namely, each symbol in the task group diagram is only two, the two symbols are respectively positioned in the two jigsaw inner frames, and the inner frames of the two jigsaws are in an adjacent relationship; the symbols within the outer border are unique, i.e., there is only one symbol in the task group diagram that is in the outer border.
The embodiment of the disclosure obtains the comprehensive score by using the task group diagram and the preset task group diagram rule.
Optionally, the acquiring the task group diagram includes:
and step S101-1, randomly acquiring puzzles with corresponding difficulty from a puzzle library according to preset difficulty parameters.
The difficulty parameter can be input into the system according to actual needs so as to carry out scoring according to needs. Alternatively, the difficulty factor is associated with the pattern, shape structure of the puzzle. And selecting a proper difficulty coefficient for evaluation by the participant according to the self ability.
And S101-2, combining the puzzles into the task group diagram according to a preset task group diagram rule.
The embodiment of the disclosure provides a progressive scoring method, and provides task group diagrams corresponding to difficulty according to different difficulty parameters. In order to increase the difficulty step by step.
And step S102, generating a grid map based on the task group map.
As shown in FIG. 4, the grid graph is composed of the borders of tiles in the task group graph. The borders are all black solid lines, and no symbol is arranged in each jigsaw border. For prompting the possible positions of the tiles in the task group diagram.
Step S103, a grid graph and a random jigsaw are sent to each actual participant terminal.
For example, there are six tiles in the task group graph, and the system randomly distributes the six tiles to six participant terminals, each of which acquires one tile and one grid graph.
Optionally, the sending a grid map and a random puzzle to each actual participant terminal further includes:
and step S103-1, when the number of the puzzles is larger than the number of the actual participant terminals, respectively distributing the redundant puzzles to the virtual participant terminals.
The virtual participant terminal refers to a participant terminal generated by a machine.
The virtual trainers are used for replacing the actual trainers to assist in scoring, and even only one actual trainer can finish scoring. Thereby improving the application range and the survival ability of the method. Comprehensive scoring can be carried out without limit at any time and any place.
Step S104, acquiring the compliance communication information of the actual participant and other participants based on the puzzle and the grid map within a preset communication time, and determining the predicted position information of the puzzle in the grid map by the actual participant based on the compliance communication information, the puzzle and the grid map within a preset decision time after the preset communication time.
The preset communication time and the preset decision time are usually set according to the scoring difficulty, for example, for a task group diagram with 19 puzzles, the preset communication time is set to 20 minutes, and the preset decision time is set to 30 seconds.
And entering the preset decision time immediately after the preset communication time.
The pre-set decision time is the only opportunity for the actual participant to complete the task. The composite score of the actual trainee will be generated immediately after the preset decision time.
The predicted location information is information of a location of the puzzle in the grid map that is judged by an actual participant before acquiring actual location information.
The compliance communication includes textual information and/or voice information.
According to the rules, the actual participant can only see the own jigsaw through the terminal and can not see the jigsaws of other participants. Therefore, when the actual trainees communicate information through the social software, only text and/or voice information can be sent, and picture and/or video information cannot be sent.
In order to ensure the validity of information communication between the participants, optionally, the obtaining the compliance communication information between the actual participant and other participants based on the puzzle and the grid graph includes:
and S104-11, acquiring the communication information of the actual participant with other participants based on the puzzle and the grid graph.
Communicating information, including: text information, pictures, video information, and/or voice information.
And S104-12, filtering the communication information, acquiring character information and/or voice information in the communication information, and forwarding the character information and/or the voice information to other participants.
After the communication information is filtered, the compliance communication information is sent to other trainees. Prevent to pass information through the image between the participant, inject word information and speech information as the mode of communication, reach the purpose of grading.
If the trainees include virtual trainees, the acquiring compliance communication information of the actual trainee and other trainees based on the puzzle and the grid graph comprises:
and S104-21, acquiring the compliance communication information of the actual participant and the virtual participant based on the puzzle and the grid graph.
The compliance communication information of the virtual participant comprises virtual compliance response information and virtual compliance questioning information.
The virtual fit rule response information includes match response information acquired from a task database based on actual compliance questioning information of actual participants.
The virtual training profile questioning information includes questioning information obtained from the task repository based on the puzzle of the virtual trainee and the compliance communication information.
Step S105, determining the comprehensive score of the actual trainee based on the compliance communication information and the prediction position information.
The composite scores of the actual participants were generated immediately after the preset decision time.
The determining a composite score for the actual participant based on the compliance communication information and the predicted location information comprises:
and S105-1, performing semantic analysis on the compliance communication information based on a semantic analysis model to acquire key communication information.
The key communication information comprises information capable of scoring communication effects.
The present embodiment does not describe in detail the process of performing semantic analysis on the compliance communication information based on the semantic analysis model, and may refer to various implementation manners in the prior art.
And S105-2, scoring the key communication information based on a preset scoring standard, and determining a communication score.
Presetting evaluation criteria, including: communication power evaluation criteria, leadership evaluation criteria, strategic thinking ability evaluation criteria, innovation ability evaluation criteria, problem solving ability evaluation criteria and self-management ability evaluation criteria.
And the system generates a communication score according to the key communication information and a preset scoring standard.
Step S105-3, determining task execution scores based on the predicted position information and the actual position information of the tiles in the grid map.
The task execution results are only two: one was successful and one was failed. Success is a score and failure is a zero score.
And step S105-4, calculating the sum of the task execution score and the intersection score to determine the comprehensive score.
Optionally, after determining the composite score of the actual participant based on the compliance exchange information and the predicted location information, the method further includes:
step S106, adding the comprehensive scores into a historical comprehensive score library, and acquiring row position information of the comprehensive scores in the historical comprehensive score library and acquiring total row number information of the historical comprehensive scores in the historical comprehensive score library; the historical score library is arranged in an ascending order based on the historical composite scores.
And step S107, dividing the row position information by the total row number information to obtain a scoring position percentage.
The score position percentage is used to indicate the position of the composite score in all current historical composite scores, i.e., the relative position of the participant composite score in the historical participant composite scores used.
For example, when the total number of lines is 100, the total score is 90, and the line position information is the 92 th line after the composite score is added to the history composite score library, the score position percentage is 92%.
The embodiment of the disclosure provides a comprehensive scoring method, which not only scores the training results, but also scores the compliance communication information of the trainees in the training process. The uniformity, objectivity and accuracy of the scoring are guaranteed. The expense of the lessee site is saved, stranger trainers can be quickly organized together for training, and the real comprehensive score can be obtained. The scoring mode of the difficulty level is gradually improved according to the difficulty level, so that the training level of the participator is gradually improved, and the scoring misalignment is avoided.
Corresponding to the first embodiment provided by the present disclosure, the present disclosure also provides a second embodiment, i.e., a comprehensive scoring device. Since the second embodiment is basically similar to the first embodiment, the description is simple, and the relevant portions should be referred to the corresponding description of the first embodiment. The device embodiments described below are merely illustrative.
Fig. 5 shows an embodiment of a comprehensive scoring device provided by the present disclosure.
As shown in fig. 5, the present disclosure provides a comprehensive scoring device, including:
a task group graph acquiring unit 501, configured to acquire a task group graph; the task group diagram consists of a plurality of puzzles based on a preset task group diagram rule;
a generating grid map unit 502 for generating a grid map based on the task group map; the grid graph is composed of borders of puzzles in the task group graph;
a sending unit 503, configured to send a trellis diagram and a random puzzle to each actual participant terminal;
an obtain compliance communication information and predicted location information unit 504, configured to obtain compliance communication information of the actual participant with other participants based on the puzzle and the grid map within a preset communication time, and determine predicted location information of the puzzle in the grid map based on the compliance communication information and the puzzle and the grid map by the actual participant within a preset decision time after the preset communication time;
a comprehensive scoring unit 505 for determining a comprehensive score of the actual trainee based on the compliance communication information and the predicted location information.
Optionally, the unit 501 for obtaining a task group diagram includes:
acquiring a corresponding difficulty jigsaw sub-unit, which is used for randomly acquiring the jigsaw with the corresponding difficulty from a jigsaw library according to a preset difficulty parameter;
and the task group picture forming subunit is used for forming the puzzles into the task group picture according to a preset task group picture rule.
Optionally, the compliance communication information includes text information and/or voice information;
in the obtain compliance communication information and predicted location information unit 504, the following are included:
the communication information acquisition subunit is used for acquiring communication information of the actual participant with other participants based on the puzzle and the grid graph;
and the exchange information filtering subunit is used for filtering the exchange information, acquiring the text information and/or the voice information in the exchange information, and forwarding the text information and/or the voice information to other participants.
Optionally, the sending unit 503 further includes:
and the sub-units are distributed to the virtual participants and used for distributing redundant puzzles to the virtual participant terminals respectively when the number of the puzzles is larger than that of the actual participant terminals.
Optionally, the obtaining compliance communication information and predicted location information unit 504 includes:
a compliance communication information subunit for acquiring compliance communication information of the virtual participant based on the puzzle and the grid map; the compliance communication information of the virtual participant comprises virtual compliance response information and virtual compliance question information, the virtual compliance response information comprises matching response information acquired from a task database based on actual compliance question information of the actual participant, and the virtual compliance question information comprises question information acquired from the task database based on jigsaw of the virtual participant and the compliance communication information.
Optionally, the comprehensive scoring unit 505 includes:
the semantic analysis subunit is used for performing semantic analysis on the compliance communication information based on a semantic analysis model to acquire key communication information;
the exchange scoring unit is used for scoring the key exchange information based on a preset scoring standard and determining an exchange score;
a task execution sub-unit for determining a task execution score based on the predicted location information and the actual location information of the tile in the grid map;
and the comprehensive scoring subunit is used for calculating the sum of the task execution score and the intersection score to determine the comprehensive scoring. Optionally, the apparatus further includes:
the acquisition and calculation numerical value unit is used for adding the comprehensive score into a historical comprehensive score library, acquiring row position information of the comprehensive score in the historical comprehensive score library and acquiring total row number information of the historical comprehensive score in the historical comprehensive score library; the historical scoring database is arranged in an ascending order based on historical comprehensive scores;
and the obtaining scoring position percentage unit is used for dividing the row position information by the total row number information to obtain the scoring position percentage.
The embodiment of the disclosure provides a comprehensive scoring device, which not only scores the training results, but also scores the compliance communication information of the trainees in the training process. The uniformity, objectivity and accuracy of the scoring are guaranteed. The expense of the lessee site is saved, stranger trainers can be quickly organized together for training, and the real comprehensive score can be obtained. The scoring mode of the difficulty level is gradually improved according to the difficulty level, so that the training level of the participator is gradually improved, and the scoring misalignment is avoided.
The third embodiment provides an electronic device, which is used for a comprehensive scoring method, and includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the one processor to cause the at least one processor to perform the composite scoring method of the first embodiment.
The fourth embodiment provides a computer storage medium for comprehensive scoring, wherein the computer storage medium stores computer-executable instructions, and the computer-executable instructions can execute the comprehensive scoring method as described in the first embodiment.
Referring now to FIG. 6, shown is a schematic diagram of an electronic device suitable for use in implementing embodiments of the present disclosure. The terminal device in the embodiments of the present disclosure may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle terminal (e.g., a car navigation terminal), and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 6, the electronic device may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 601, which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage means 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the electronic apparatus are also stored. The processing device 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
Generally, the following devices may be connected to the I/O interface 605: input devices 606 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 607 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 608 including, for example, tape, hard disk, etc.; and a communication device 609. The communication means 609 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. While fig. 6 illustrates an electronic device having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 609, or may be installed from the storage means 608, or may be installed from the ROM 602. The computer program, when executed by the processing device 601, performs the above-described functions defined in the methods of the embodiments of the present disclosure.
It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText transfer protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
Computer program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of an element does not in some cases constitute a limitation on the element itself.
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
Claims (10)
1. A composite scoring method, comprising:
acquiring a task group diagram; the task group diagram is composed of a plurality of equilateral hexagonal puzzles based on a preset task group diagram rule, and the borders of the puzzles are different in color; the frame of each jigsaw at least comprises an inner frame adjacent to other jigsaws, and the outer frame of the jigsaw forms the frame of the task group picture; presetting a task group diagram rule, comprising: a symbol is arranged in each jigsaw frame, and the symbols in the adjacent inner frames have a unique symmetrical matching relationship and have uniqueness with the symbols in the outer frame;
generating a grid map based on the task group map; the grid graph is composed of borders of puzzles in the task group graph;
sending a grid graph and a random jigsaw to each actual participant terminal;
acquiring the compliance communication information of the actual participant and other participants based on the puzzle and the grid graph within a preset communication time, and determining the predicted position information of the puzzle in the grid graph by the actual participant within a preset decision time after the preset communication time based on the compliance communication information and the puzzle and the grid graph;
determining a composite score for the actual participant based on the compliance communication information and the predicted location information.
2. The composite scoring method according to claim 1, wherein the obtaining a task group graph comprises:
randomly acquiring puzzles with corresponding difficulty from a puzzle library according to a preset difficulty parameter;
and combining the puzzles into the task group diagram according to a preset task group diagram rule.
3. The composite scoring method according to claim 1, wherein the compliance communication information includes text information and/or voice information;
the acquiring the compliance communication information of the actual participant with other participants based on the puzzle and the grid graph comprises:
acquiring communication information of the actual participant with other participants based on the puzzle and the grid graph;
and filtering the communication information, acquiring the text information and/or the voice information in the communication information, and forwarding the text information and/or the voice information to other participants.
4. The comprehensive scoring method according to claim 3, wherein the sending of a grid map and a random puzzle to each actual participant terminal further comprises:
and when the number of the puzzles is larger than the number of the actual participant terminals, respectively distributing the redundant puzzles to the virtual participant terminals.
5. The comprehensive scoring method according to claim 4, wherein the obtaining of the compliance communication information of the actual participant with other participants based on the puzzle and the grid graph comprises:
acquiring compliance communication information of the actual participant and the virtual participant based on the puzzle and the grid graph; the compliance communication information of the virtual participant comprises virtual compliance response information and virtual compliance question information, the virtual compliance response information comprises matching response information acquired from a task database based on actual compliance question information of the actual participant, and the virtual compliance question information comprises question information acquired from the task database based on jigsaw of the virtual participant and the compliance communication information.
6. The composite scoring method according to claim 1, wherein said determining a composite score of the actual participant based on the compliance communication information and the predicted location information comprises:
performing semantic analysis on the compliance communication information based on a semantic analysis model to acquire key communication information;
grading the key communication information based on a preset grading standard, and determining a communication grade;
determining a task execution score based on the predicted location information and actual location information of the tiles in the grid map;
and calculating the sum of the task execution score and the intersection score to determine the comprehensive score.
7. The composite scoring method according to claim 6, further comprising, after said determining the composite score of the actual participant based on the compliance communication information and the predicted location information:
adding the comprehensive scores into a historical comprehensive score library, and acquiring row position information of the comprehensive scores in the historical comprehensive score library and acquiring total row number information of the historical comprehensive scores in the historical comprehensive score library; the historical scoring database is arranged in an ascending order based on historical comprehensive scores;
and dividing the line position information by the total line number information to obtain a scoring position percentage.
8. A composite scoring device, comprising:
the task group graph acquiring unit is used for acquiring a task group graph; the task group diagram is composed of a plurality of equilateral hexagonal puzzles based on a preset task group diagram rule, and the borders of the puzzles are different in color; the frame of each jigsaw at least comprises an inner frame adjacent to other jigsaws, and the outer frame of the jigsaw forms the frame of the task group picture; presetting a task group diagram rule, comprising: a symbol is arranged in each jigsaw frame, and the symbols in the adjacent inner frames have a unique symmetrical matching relationship and have uniqueness with the symbols in the outer frame;
a grid map generating unit for generating a grid map based on the task group map; the grid graph is composed of borders of puzzles in the task group graph;
a transmitting unit for transmitting a grid map and a random puzzle to each actual participant terminal;
a compliance communication information and predicted position information acquiring unit, configured to acquire compliance communication information of the actual participant with other participants based on the puzzle and the grid map within a preset communication time, and determine predicted position information of the puzzle in the grid map based on the compliance communication information and the puzzle and the grid map by the actual participant within a preset decision time after the preset communication time;
and the comprehensive scoring unit is used for determining the comprehensive scoring of the actual trainee based on the compliance communication information and the prediction position information.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the composite scoring method according to any one of claims 1 to 7.
10. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs that, when executed by the one or more processors, cause the one or more processors to implement the composite scoring method of any one of claims 1-7.
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