CN111815133B - Comprehensive scoring method, comprehensive scoring device, medium and electronic equipment - Google Patents
Comprehensive scoring method, comprehensive scoring device, medium and electronic equipment Download PDFInfo
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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 graph; generating a grid graph based on the task group graph; carrying out grid partition on the grid map to obtain a plurality of grid partition maps; sending a grid map prompting the grid partition map and a random jigsaw to each practical participant terminal; acquiring compliance communication information of the actual participant based on the jigsaw and the grid partition map and other participants in the same grid partition within a preset communication time, and determining predicted position information of the jigsaw in the grid partition map by the actual participant based on the compliance communication information and the jigsaw and the grid partition map within a preset decision time after the preset communication time; and determining a comprehensive score of the actual participant based on the compliance communication information and the predicted position information. The uniformity, objectivity and accuracy of scoring are guaranteed.
Description
Technical Field
The disclosure relates to the field of computer technology, and in particular relates to a comprehensive scoring method, a comprehensive scoring device, a comprehensive scoring medium and electronic equipment.
Background
The improvement of the efficiency of the enterprise team is not skill any more, and how to improve the quality of the team, thereby improving the performance, has become urgent for the enterprise operators. There are studies showing that: many people who do the same job, even if they have the same educational background and experience, can have a large difference in work efficiency, sometimes up to 20 times. The answer to the difference is quality, namely, the characteristics which can directly influence the working result, and the difference of quality directly leads to the difference of performance. The difference of personal quality also leads to the performance achievement of the enterprise team.
Team training is presented to the participant through a series of directional and strategic game links. Team members support students' potential ability to mine themselves for problems by experience and feel in their premises, motivating more likelihood of creating value to themselves.
In general, team training can only judge training effects through training results, and the performance of each person in the training process can only be concluded through subjective judgment, so that subjective differences exist in judging results of each person.
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 disclosure aims to provide a comprehensive scoring method, a comprehensive scoring device, a comprehensive scoring medium and electronic equipment, which can solve at least one technical problem. 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 graph; the task group graph consists of a plurality of puzzles based on preset task group graph rules;
generating a grid graph based on the task group graph; the grid graph consists of a frame of the jigsaw in the task group graph;
performing grid partition on the grid map to obtain a plurality of grid partition maps; the grid partition map comprises a plurality of adjacent puzzles;
sending a grid graph prompting the grid partition graph and a random jigsaw to each practical participant terminal, wherein the jigsaw corresponds to one grid in the grid partition graph;
acquiring compliance communication information of the actual participant based on the jigsaw and the grid partition map and other participants in the same grid partition within a preset communication time, and determining predicted position information of the jigsaw in the grid partition map by the actual participant based on the compliance communication information and the jigsaw and the grid partition map within a preset decision time after the preset communication time;
and determining a comprehensive score of the actual participant based on the compliance communication information and the predicted position information.
According to a second aspect of the present disclosure, there is provided a comprehensive scoring apparatus comprising:
the task group diagram acquisition unit is used for acquiring task group diagrams; the task group graph consists of a plurality of puzzles based on preset task group graph rules;
a grid partition map generating unit configured to generate a grid map based on the task group map; the grid graph consists of a frame of the jigsaw in the task group graph;
the grid partition unit is used for carrying out grid partition on the grid map to obtain a plurality of grid partition maps; the grid partition map comprises a plurality of adjacent puzzles;
the sending unit is used for sending a grid graph prompting the grid partition graph and a random jigsaw to each practical participant terminal, wherein the jigsaw corresponds to one grid in the grid partition graph;
the method comprises the steps of obtaining compliance communication information and predicted position information units, wherein the compliance communication information and the predicted position information units are used for obtaining the compliance communication information of the actual participant based on the jigsaw and the grid partition map and other participants in the same grid partition in a preset communication time, and determining the predicted position information of the jigsaw in the grid partition map by the actual participant based on the compliance communication information and the jigsaw and the grid partition map in a preset decision time after the preset communication time;
and the comprehensive scoring unit is used for determining the comprehensive score of the actual participant based on the compliance communication information and the predicted position information.
According to a third aspect of the disclosure, there is provided a computer readable storage medium having stored thereon a computer program which when executed by a processor implements the comprehensive scoring method according to any one of the first aspects.
According to a fourth aspect of the present disclosure, there is provided an electronic device comprising: one or more processors; storage means for storing one or more programs that, when executed by the one or more processors, cause the one or more processors to implement the comprehensive scoring method according to any one of the first aspects.
Compared with the prior art, the scheme of the embodiment of the disclosure has at least 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 training participants in the training process. The uniformity, objectivity and accuracy of scoring are guaranteed. The cost of the renting sites is saved, strange participants can be quickly organized together for training, and the real comprehensive scores can be obtained. According to the scoring mode that the difficulty is gradually increased, the training level of the participant can be gradually increased, and scoring misalignment is avoided.
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The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale. In the drawings:
FIG. 1 illustrates a flow chart of a comprehensive scoring method according to an embodiment of the present disclosure;
FIG. 2 illustrates a task group diagram of a comprehensive scoring method according to an embodiment of the present disclosure;
FIG. 3 illustrates a puzzle of a comprehensive scoring method according to an embodiment of the present disclosure;
FIG. 4 illustrates a grid graph of a composite scoring method according to an embodiment of the present disclosure;
FIG. 5 illustrates a grid graph of a hint grid partition of a comprehensive scoring method according to an embodiment of the present disclosure;
FIG. 6 shows a block diagram of a unit of a comprehensive scoring device according to an embodiment of the present disclosure;
fig. 7 shows a schematic diagram of an electronic device connection structure 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 have been shown in the accompanying 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 are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present 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. Furthermore, 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 "including" and variations thereof as used herein are intended to be 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. Related definitions of other terms will be given in the description below.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
The embodiment of the disclosure relates to an application scene which is interacted through multiple terminals and comprehensively scored according to interaction data, wherein the application scene is a client which is operated by a plurality of users through terminal equipment such as mobile phones and the like and is arranged on the terminal equipment, and meanwhile, data communication with a server is kept. As a specific application scenario, for example, after a user logs in an APP, the user performs hosting and communication with other users as one of roles, and completes a predetermined task together. And 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 any scenario that can be applied to the present embodiment is understood to be included.
Alternative embodiments of the present disclosure are described in detail below with reference to the drawings.
The first embodiment provided in this disclosure is an embodiment of a comprehensive scoring method.
Embodiments of the present disclosure are described in detail below with reference to fig. 1 through 5.
Step S101, a task group graph is acquired.
The task group graph consists of a plurality of puzzles based on preset task group graph rules.
For example, as shown in fig. 2 and 3, the jigsaw puzzle is an equilateral triangle, and the frames of the jigsaw puzzle are different in color; the frame of each jigsaw at least comprises an inner frame adjacent to other jigsaw, and the outer frame of each jigsaw forms the frame of the task group graph; the outer frame of the jigsaw, namely the jigsaw frame without adjacent frames; presetting task group graph rules, comprising: each jigsaw frame is internally provided with a symbol, the symbols in the adjacent inner frames are provided with unique symmetrical matching relations, and the symbols in the outer frames are provided with uniqueness; the symbols in the adjacent inner frames have unique symmetrical matching relationship, namely, in the task group diagram, each symbol is only two, the two symbols are respectively positioned in the inner frames of the two jigsaw, and the inner frames of the two jigsaw are in adjacent relationship; the symbols within the outer border have uniqueness, i.e. the symbols at the outer border have only one in the task group graph.
The embodiment of the disclosure obtains the comprehensive score by utilizing the task group graph and the preset task group graph rule.
Optionally, the obtaining the task group graph includes:
step S101-1, obtaining the puzzle with corresponding difficulty randomly from the puzzle library according to the preset difficulty parameter.
The difficulty parameter can be input into the system according to actual needs so as to score according to needs. Alternatively, the difficulty coefficient is associated with the pattern, shape and structure of the puzzle. The participants select proper difficulty coefficients for evaluation according to the self-ability.
And step S101-2, forming the puzzles into the task group graph according to a preset task group graph rule.
The embodiment of the disclosure provides a progressive scoring method through difficulty parameters, and provides task group diagrams corresponding to the difficulty according to different difficulty parameters. So as to gradually increase the difficulty.
Step S102, generating a grid chart based on the task group chart.
As shown in fig. 4, the grid graph is composed of borders of the tiles in the task group graph. The frames are all solid black lines, and no symbol exists in each jigsaw frame. For prompting possible areas of the jigsaw in the task block diagram at the actual participant terminal.
Step S103, grid partitioning is carried out on the grid map, and a plurality of grid partition maps are obtained.
The grid partition map includes a plurality of adjacent tiles. For example, as shown in fig. 5, white isosceles triangle meshes form a white background mesh partition map, gray isosceles triangle meshes form a gray background mesh partition map, and black isosceles triangle meshes form a black background mesh partition map.
And step S104, a grid diagram prompting the grid partition diagram and a random jigsaw are sent to each practical participant terminal.
Wherein the puzzle corresponds to a grid in the grid partition map.
For example, there are 48 tiles in the task group graph, the system distributes the 48 tiles to 48 participants, each participant terminal displays one tile, other grid partition graphs in the grid graph display darker hues than the primary colors, and only the grid partition graph corresponding to the tile displays the primary hues so as to highlight the corresponding relationship between the grid partition graph and the tile.
Optionally, the sending a grid map prompting the grid partition map and a random jigsaw to each practical participant terminal further includes:
and step S104-1, when the number of the puzzles is larger than the number of the practical participant terminals, distributing redundant puzzles to the virtual participant terminals respectively.
Virtual trainee terminal refers to a machine-generated trainee terminal.
The embodiment of the disclosure utilizes the virtual parameter trainer to replace the actual parameter trainer to assist in completing the scoring, and even only one actual parameter trainer can complete the scoring task. Thereby improving the application range and the viability of the method. Comprehensive scoring can be carried out without limitation at any time and any place.
Step S105, in a preset communication time, acquiring compliance information of the practical participant based on the jigsaw and the grid partition map and other participants in the same grid partition, and determining predicted position information of the jigsaw in the grid partition map by the practical participant based on the compliance information and the jigsaw and the grid partition map in a preset decision time after the preset communication time.
Because the grid map is partitioned, the embodiment of the disclosure forms a group of the participants who acquire the jigsaw in the partition, and the same group of the participants can exchange information. For example, as shown in fig. 5, for a task group graph with 48 tiles, the task group graph is divided into 3 grid partition graphs with white background, black background and gray background, each grid partition graph has 16 grids, that is, 48 participants are divided into 3 groups, each group has 16 persons, each person obtains one tile, and each group can exchange information between 16 persons.
The preset communication time and the preset decision time are generally set according to the scoring difficulty, for example, continuing the above example, for a task group diagram with 48 tiles, the preset communication time is set to 20 minutes, and the preset decision time is set to 30 seconds.
The preset decision time is entered immediately after the preset communication time.
The preset decision time is the only opportunity for the actual participant to complete the task. The composite score of the actual participant will be generated immediately after the predetermined decision time.
The predicted position information is the position information of the jigsaw in the grid partition map, which is judged by the practical participant before the practical position information is obtained.
The compliance information includes text information and/or voice information.
According to the rules, the practical participant can only see own jigsaw puzzle, but not other participant's jigsaw puzzle. Therefore, when the actual participant communicates information through the social software, only text and/or voice information can be sent, and no picture and/or video information can be sent.
In order to ensure validity of information communication between the participants, optionally, the obtaining information of the actual participant in compliance with other participants in the same grid partition based on the jigsaw and the grid partition map includes:
and step S105-11, acquiring communication information of the actual participant with other participants in the same grid partition based on the jigsaw and the grid partition map.
Communicating information, comprising: text information, pictures, video information, and/or voice information.
Step S105-12, filtering the communication information, obtaining text information and/or voice information in the communication information, and forwarding the text information and/or the voice information to other participants in the same grid partition.
And after filtering the communication information, sending the compliance communication information to other participants. The method prevents the information from being transmitted between the participants through images, limits the text information and the voice information to be used as communication modes, and achieves the purpose of scoring.
If the participant includes a virtual participant, the obtaining the compliance information of the actual participant with other participants in the same grid partition based on the jigsaw and the grid partition map includes:
and step S105-21, acquiring compliance communication information of the actual participant with the virtual participant in the same grid partition based on the jigsaw and the grid partition map.
The compliance communication information of the virtual parameter trainees comprises virtual fitting compliance response information and virtual compliance question information.
The virtual compliance response information comprises matching response information obtained from a task database based on actual compliance question information of an actual participant.
The virtual compliance questioning information comprises questioning information obtained from the task database based on the jigsaw puzzle of the virtual participant and the compliance communication information.
And step S106, determining the comprehensive score of the actual participant based on the compliance communication information and the predicted position information.
The composite score of the actual participant is generated immediately after the predetermined time.
The determining the composite score of the actual participant based on the compliance information and the predicted location information comprises:
and step S106-1, carrying out semantic analysis on the compliance communication information based on a semantic analysis model to acquire key communication information.
The key communication information includes information capable of scoring the communication effect.
The process of performing semantic analysis on the compliance information based on the semantic analysis model is not described in detail in this embodiment, and may be implemented with reference to various implementation manners in the prior art.
And S106-2, scoring the key communication information based on preset scoring criteria, and determining a communication score.
The preset evaluation criteria include: communication ability evaluation criteria, leadership ability 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.
And step S106-3, determining task execution scores based on the predicted position information and the actual position information of the puzzles in the grid chart.
The task execution results are only two: one successful and one failed. Success is a score and failure is zero.
And step S106-4, calculating the sum of the task execution score and the communication score to determine the comprehensive score.
Optionally, after determining the composite score of the actual participant based on the compliance communication information and the predicted position information, the method further includes:
step S107, adding the comprehensive scores to a historical comprehensive score library, and acquiring line position information of the comprehensive scores in the historical comprehensive score library and total line number information of the historical comprehensive scores in the historical comprehensive score library; the history scoring library is arranged in an ascending order based on the history comprehensive scores.
Step S108, dividing the line position information by the total line number information to obtain a scoring position percentage.
The scoring position percentage is used to describe 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 number of lines is 90, and the line position information is 92, the percentage of the number of lines is 92% after the total number of lines is added to the historical total number of lines.
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 training participants in the training process. The uniformity, objectivity and accuracy of scoring are guaranteed. The cost of the renting sites is saved, strange participants can be quickly organized together for training, and the real comprehensive scores can be obtained. According to the scoring mode that the difficulty is gradually increased, the training level of the participant can be gradually increased, and scoring misalignment is avoided.
Corresponding to the first embodiment provided by the present disclosure, the present disclosure also provides a second embodiment, namely a comprehensive scoring device. Since the second embodiment is substantially similar to the first embodiment, the description is relatively simple, and the relevant portions will be referred to the corresponding descriptions of the first embodiment. The device embodiments described below are merely illustrative.
Fig. 6 illustrates an embodiment of a composite scoring device provided by the present disclosure.
As shown in fig. 6, the present disclosure provides a comprehensive scoring device, including:
the task group graph acquisition unit 601 is configured to acquire a task group graph; the task group graph consists of a plurality of puzzles based on preset task group graph rules;
a grid partition map generating unit 602, configured to generate a grid map based on the task group map, and perform grid partition on the grid map to obtain a plurality of grid partition maps; the grid graph consists of a frame of the jigsaw in the task group graph;
a grid partition unit 603, configured to perform grid partition on the grid map, and obtain a plurality of grid partition maps; the grid partition map comprises a plurality of adjacent puzzles;
a sending unit 604, configured to send, to each practical participant terminal, a grid pattern prompting the grid partition pattern and a random jigsaw, where the jigsaw corresponds to one grid in the grid partition pattern;
a unit 605 for acquiring compliance information and predicted position information, configured to acquire compliance information of the actual participant with other participants based on the jigsaw and the grid pattern within a preset communication time, and determine predicted position information of the jigsaw in the grid pattern based on the compliance information and the jigsaw and the grid pattern within a preset decision time after the preset communication time;
a comprehensive scoring unit 606 configured to determine a comprehensive score of the actual participant based on the compliance communication information and the predicted location information.
Optionally, in the task group graph obtaining unit 601, the method includes:
the corresponding difficulty jigsaw subunit is used for randomly acquiring the jigsaw with the corresponding difficulty from the jigsaw library according to the preset difficulty parameter;
and the task group graph forming subunit is used for forming the jigsaw into the task group graph according to a preset task group graph rule.
Optionally, the compliance communication information includes text information and/or voice information;
the unit 605 for acquiring compliance information and predicting position information includes:
the communication information acquisition subunit is used for acquiring communication information of the actual participant and other participants in the same grid partition based on the jigsaw and the grid partition map;
the exchange information filtering subunit is used for filtering the exchange information, obtaining text information and/or voice information in the exchange information, and forwarding the text information and/or the voice information to other participants in the same grid partition.
Optionally, in the sending unit 604, further includes:
and the virtual parameter training sub-units are distributed to the virtual parameter training sub-units, and are used for respectively distributing redundant puzzles to the virtual parameter training terminals when the number of puzzles is larger than that of the actual parameter training terminals.
Optionally, the acquiring compliance information and prediction position information unit 605 includes:
the compliance information exchange subunit is used for acquiring compliance information of the actual parameter trainer and the virtual parameter trainer in the same grid partition based on the jigsaw and the grid partition map; the compliance communication information of the virtual parameter trainees comprises virtual fitting compliance response information and virtual compliance question information, the virtual compliance response information comprises matching response information obtained from a task database based on the actual compliance question information of the actual parameter trainees, and the virtual compliance question information comprises question information obtained from the task database based on the jigsaw of the virtual parameter trainees and the compliance communication information.
Optionally, in the comprehensive scoring unit 606, it includes:
the semantic analysis subunit is used for carrying out semantic analysis on the compliance communication information based on a semantic analysis model to acquire key communication information;
the communication scoring unit is used for scoring the key communication information based on a preset scoring standard and determining a communication score;
a task execution molecular unit is used for determining task execution scores based on the predicted position information and the actual position information of the jigsaw in the grid chart;
and the comprehensive scoring subunit is used for calculating the sum of the task execution score and the communication score and determining the comprehensive score.
Optionally, the apparatus further includes:
the calculation value obtaining unit is used for adding the comprehensive scores to a historical comprehensive score library, obtaining line position information of the comprehensive scores in the historical comprehensive score library and obtaining total line number information of the historical comprehensive scores in the historical comprehensive score library; the history scoring library is arranged in an ascending order based on the history comprehensive scores;
and the scoring position percentage obtaining unit is used for dividing the row position information by the total row number information to obtain 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 training participants in the training process. The uniformity, objectivity and accuracy of scoring are guaranteed. The cost of the renting sites is saved, strange participants can be quickly organized together for training, and the real comprehensive scores can be obtained. According to the scoring mode that the difficulty is gradually increased, the training level of the participant can be gradually increased, and scoring misalignment is avoided.
The embodiment of the disclosure provides a third embodiment, namely an electronic device, which is used for a comprehensive scoring method, and the electronic device comprises: at least one processor; and a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the one processor to enable the at least one processor to perform the composite scoring method as described in the first embodiment.
The fourth embodiment, a comprehensive scoring computer storage medium, is provided by the embodiments of the present disclosure, where the computer storage medium stores computer-executable instructions that can perform the comprehensive scoring method as described in the first embodiment.
Referring now to fig. 7, a schematic diagram of an electronic device suitable for use in implementing embodiments of the present disclosure is shown. The terminal devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 7 is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.
As shown in fig. 7, the electronic device may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 701, which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 702 or a program loaded from a storage means 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data necessary for the operation of the electronic apparatus are also stored. The processing device 701, the ROM 702, and the RAM 703 are connected to each other through a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
In general, the following devices may be connected to the I/O interface 705: input devices 706 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, and the like; an output device 707 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 708 including, for example, magnetic tape, hard disk, etc.; and a communication device 709. The communication means 709 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. While fig. 7 shows an electronic device having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a non-transitory computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via communication device 709, or installed from storage 708, or installed from ROM 702. The above-described functions defined in the methods of the embodiments of the present disclosure are performed when the computer program is executed by the processing device 701.
It should be noted that the computer readable medium described in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any 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 context of this 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 the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. 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, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
In some implementations, 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 communication 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 networks.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device.
Computer program code for carrying out operations of the present disclosure may be written in 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 kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts 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 involved in the embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
The functions described above herein 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: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), 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. The 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 of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this disclosure is not limited to the specific combinations of features described above, but also covers other embodiments which may be formed by any combination of features described above or equivalents thereof without departing from the spirit of the disclosure. Such as those described above, are mutually substituted with the technical features having similar functions disclosed in the present disclosure (but not limited thereto).
Moreover, although 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. In 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 limiting the scope of the present 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 example forms of implementing the claims.
Claims (5)
1. A method of comprehensive scoring comprising:
acquiring a task group graph; the task group graph consists of a plurality of puzzles based on preset task group graph rules;
generating a grid graph based on the task group graph; the grid graph consists of a frame of the jigsaw in the task group graph;
performing grid partition on the grid map to obtain a plurality of grid partition maps; the grid partition map comprises a plurality of adjacent puzzles; sending a grid graph prompting the grid partition graph and a random jigsaw to each practical participant terminal, wherein the jigsaw corresponds to one grid in the grid partition graph;
acquiring compliance communication information of the actual participant based on the jigsaw and the grid partition map and other participants in the same grid partition within a preset communication time, and determining predicted position information of the jigsaw in the grid partition map by the actual participant based on the compliance communication information and the jigsaw and the grid partition map within a preset decision time after the preset communication time;
determining a composite score for the actual participant based on the compliance communication information and the predicted location information;
the compliance communication information comprises text information and/or voice information;
the obtaining the compliance information of the practical participant with other participants in the same grid partition based on the jigsaw and the grid partition map comprises the following steps:
acquiring communication information of the actual participant with other participants in the same grid partition based on the jigsaw and the grid partition map;
filtering the communication information, obtaining text information and/or voice information in the communication information, and forwarding the text information and/or the voice information to other participants in the same grid partition;
the method comprises the steps of sending a grid diagram prompting the grid partition diagram and a random jigsaw to each practical participant terminal, and further comprising the following steps:
when the number of the puzzles is larger than the number of the actual participant terminals, distributing redundant puzzles to the virtual participant terminals respectively; the virtual participant terminal refers to a participant terminal generated by a machine;
the determining the composite score of the actual participant based on the compliance information and the predicted location information comprises:
carrying out semantic analysis on the compliance communication information based on a semantic analysis model to obtain key communication information;
scoring the key communication information based on a preset scoring standard, and determining a communication score;
determining task execution scores based on the predicted location information and actual location information of the tiles in the grid map;
calculating a sum of the task performance score and the communication score to determine the composite score;
after determining the composite score of the actual participant based on the compliance information and the predicted location information, further comprising:
adding the comprehensive scores into a historical comprehensive score library, and acquiring line position information of the comprehensive scores in the historical comprehensive score library and total line number information of the historical comprehensive scores in the historical comprehensive score library; the history scoring library is arranged in an ascending order based on the history comprehensive scores;
dividing the line location information by the total line count information to obtain a scoring location percentage.
2. The method of claim 1, wherein the obtaining a task group graph comprises:
randomly acquiring puzzles with corresponding difficulty from a puzzles library according to preset difficulty parameters;
and forming the jigsaw into the task group graph according to a preset task group graph rule.
3. The method of claim 1, wherein the obtaining compliance information of the actual participant with other participants in the same grid partition based on the puzzle and the grid partition map comprises:
acquiring compliance communication information of the actual participant and the virtual participant in the same grid partition based on the jigsaw and the grid partition map; the compliance communication information of the virtual parameter trainees comprises virtual fitting compliance response information and virtual compliance question information, the virtual compliance response information comprises matching response information obtained from a task database based on the actual compliance question information of the actual parameter trainees, and the virtual compliance question information comprises question information obtained from the task database based on the jigsaw of the virtual parameter trainees and the compliance communication information.
4. A computer readable storage medium having stored thereon a computer program, wherein the program when executed by a processor implements the comprehensive scoring method according to any one of claims 1 to 3.
5. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs that when executed by the one or more processors cause the one or more processors to implement the comprehensive scoring method of any one of claims 1 to 3.
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| CN103505871A (en) * | 2012-06-22 | 2014-01-15 | 国家娱乐收藏品协会有限公司 | Puzzle game apparatus |
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| US20080228550A1 (en) * | 2007-03-14 | 2008-09-18 | Business Objects, S.A. | Apparatus and method for utilizing a task grid to generate a data migration task |
| US9114313B2 (en) * | 2012-08-29 | 2015-08-25 | Terry Alan Weed | Puzzle board game |
| US10561929B2 (en) * | 2015-12-07 | 2020-02-18 | Preston Allen White, SR. | Game system for enhanced communication skills |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103505871A (en) * | 2012-06-22 | 2014-01-15 | 国家娱乐收藏品协会有限公司 | Puzzle game apparatus |
| CN107291553A (en) * | 2017-06-30 | 2017-10-24 | 电子科技大学 | A kind of method for scheduling task spliced based on square |
| CN109754350A (en) * | 2019-01-08 | 2019-05-14 | 华南理工大学 | A kind of team training and culture systems |
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