CN112307246A - Learning group acquisition method, device, server and storage medium - Google Patents
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Abstract
The embodiment of the disclosure discloses a learning group acquisition method, a learning group acquisition device, a server and a storage medium, wherein the method comprises the following steps: acquiring image information shot by learning equipment, and searching in a cloud question bank according to character information extracted from the image information to acquire matched question bank test questions; judging the text information according to the question bank test questions to obtain a judgment result, and adding the judgment result into the learning information of the corresponding user; and establishing at least one learning group according to the personal information and the learning information of each user, and recommending the matched at least one learning group to each user. According to the technical scheme of the embodiment of the disclosure, other peers with similar backgrounds and levels are recommended for each user using the learning equipment, communication in the learning process is increased, and learning enthusiasm of students is aroused.
Description
Technical Field
The embodiment of the disclosure relates to an intelligent terminal technology, and in particular, to a learning group acquisition method, a learning group acquisition device, a server, and a storage medium.
Background
Along with the continuous development of science and technology, various intelligent terminals appear in people's sight, have brought very big facility for people's life, as an important branch in intelligent terminal field, the learning equipment who is applicable to the student has also become the focus that people paid attention to.
The existing intelligent learning equipment provides a large amount of learning materials for a user in a mode of local storage or internet access so as to improve the knowledge acquisition efficiency of the user, but the learning mode cannot detect the real learning level of the user and recommend other peers with similar levels to the user, so that the learning mode provided by the intelligent learning equipment is single, the learning effect is poor, meanwhile, the learning mode lacks the learning interest, the communication of the peers is lacked in the learning process, and the learning enthusiasm of students is low.
Disclosure of Invention
The disclosure provides a learning group acquisition method, a learning group acquisition device and a learning group storage medium, which are used for acquiring and judging the operation conditions of users through learning equipment and establishing a learning group according to the operation judgment conditions and personal information of the users.
In a first aspect, an embodiment of the present disclosure provides a learning group obtaining method, including:
acquiring image information shot by learning equipment, and searching in a cloud question bank according to character information extracted from the image information to acquire matched question bank test questions;
judging the text information according to the question bank test questions to obtain a judgment result, and adding the judgment result into the learning information of the corresponding user;
and establishing at least one learning group according to the personal information and the learning information of each user, and recommending the matched at least one learning group to each user.
In a second aspect, an embodiment of the present disclosure provides an apparatus for acquiring a learning group, including:
the question bank question acquisition module is used for acquiring image information shot by the learning equipment and searching in a cloud question bank according to character information extracted from the image information to acquire matched question bank questions;
the judgment result acquisition module is used for judging the text information according to the question bank test questions to acquire a judgment result and adding the judgment result into the learning information of the corresponding user;
and the learning group determining module is used for establishing at least one learning group according to the personal information and the learning information of each user and recommending the matched at least one learning group to each user.
In a third aspect, an embodiment of the present disclosure provides a server, including a memory, a processing device, and a computer program stored on the memory and executable on the processing device, where the processing device implements the learning group acquisition method according to any embodiment of the present disclosure when executing the program.
In a fourth aspect, embodiments of the present disclosure provide a storage medium containing computer-executable instructions for performing the acquisition method of the learning group of any of the embodiments of the present disclosure when executed by a computer processor.
According to the technical scheme of the embodiment, the real learning level of the user is determined through evaluation of the character information acquired by the learning equipment, at least one learning group is established through the personal information and the real learning level of each user, the established learning group is recommended to the user, other companions with similar backgrounds and levels are recommended to each user using the learning equipment, the functions of the learning equipment are enriched, the diversification of learning modes is realized, the learning effect and the learning interest are improved, the communication in the learning process is increased, and the learning enthusiasm of students is mobilized.
Drawings
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 features are not necessarily drawn to scale.
Fig. 1 is a flowchart of an acquisition method of a learning group in a first embodiment of the disclosure;
fig. 2 is a block diagram of an acquisition apparatus of a learning group in a second embodiment of the disclosure;
fig. 3 is a block diagram of a server in a third 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.
Example one
Fig. 1 is a flowchart of a learning group obtaining method according to an embodiment of the present disclosure, where this embodiment is applicable to obtaining and judging job statuses of users through a learning device, and meanwhile, establishing a learning group according to the job judgment statuses and personal information of the users, where this method may be executed by a learning group obtaining device in an embodiment of the present disclosure, where this device may be implemented by software and/or hardware, and is integrated in a server corresponding to the learning device, and this method specifically includes the following steps:
s110, image information shot by the learning equipment is obtained, and retrieval is carried out in a cloud question bank according to character information extracted from the image information so as to obtain matched question bank test questions.
The learning equipment shoots paper information such as books or test papers on the desktop through the camera shooting component, and in order to avoid the information being blocked, the camera shooting component can be positioned at the top end of the learning equipment, is arranged right above or obliquely above a user and shoots downwards; the learning equipment can be an intelligent desk lamp with a camera shooting component or a student computer, and in the embodiment of the disclosure, the type of the learning equipment is not particularly limited; after the image information is obtained, the text content in the image information is determined through a computer vision technology, and the text content is searched in a cloud question bank to obtain matched test questions.
Optionally, in this embodiment of the present disclosure, before retrieving from the cloud question bank according to the text information extracted from the image information to obtain a matched question bank test question, the method further includes: and identifying pictures and/or texts in the image information by an optical character identification technology so as to extract the character information. An Optical Character Recognition (OCR) technology is a process of determining the shape of a Character by detecting dark and light patterns, and then translating the shape into a computer text by a Character Recognition method; specifically, characters (including characters in pictures and characters in texts) in a paper document are converted into an image file with a black-and-white dot matrix in an optical mode, and then the black-and-white dot matrix in the image is converted into character information in a text format.
And S120, judging the text information according to the question bank test questions to obtain a judgment result, and adding the judgment result into the learning information of the corresponding user.
Judging the text information of the user according to the question bank test questions acquired from the cloud question bank, and displaying the judgment result to the user through a display screen; wherein, the judgment result can comprise the answer score, wrong question content and/or learning progress; the wrong question content comprises the number of the wrong question, the subject, the question type (such as sentence making question, word composition question, etc.; selection question, judgment question, blank filling question, question and answer question, etc.) and the related knowledge point (such as poem, multiplication operation, etc. of Libai); when the answer scores are obtained, the numbers, the subjects, the question types and the related knowledge points of the answers can be gathered at the same time; the learning progress may include the completion degree of the test questions in the cloud-end question bank, for example, the work amount of the three-grade Chinese test questions is completed by 40%, and may also include the chapter progress degree in the textbook, for example, the current work content is the content of the fifth chapter in the three-grade Chinese text book.
S130, establishing at least one learning group according to the personal information and the learning information of each user, and recommending the matched at least one learning group to each user.
The learning information of the users reflects the real learning achievement and learning ability of each user, so that the learning group can be established according to the actual learning level of each user when the learning group is established, the levels of all members in the learning group are not too different, the communication among all members is facilitated, and the improvement is realized together.
Optionally, in this embodiment of the present disclosure, before establishing at least one learning group according to the personal information and the learning information of each user, the method further includes: acquiring an operation instruction transmitted by learning equipment, and displaying the matched playing content through a display screen of the learning equipment; and adding the playing content into the learning information of the corresponding user, and extracting learning interest points in the learning information according to the playing content. The display screen of the learning equipment is used for displaying learning materials to a user; the operation instruction of the user can be triggered by a physical key on the learning device or a virtual key on the display screen or by voice, and in the embodiment of the disclosure, the triggering mode of the operation instruction of the user is not specifically limited; after obtaining an operation instruction of a user, the server displays corresponding playing content through the display screen, and determines a learning interest point of the user according to the playing content, for example, the user has a high playing frequency for learning content of ancient poetry types, and ancient poetry can be added into the learning interest point of the user; the learning interest points reflect the preference degree of each user for various types of knowledge, and the interested knowledge is more willing to actively learn for students, so that the interest points are added into learning information and serve as reference factors when a learning group is established, learning desire of the students is favorably cultured, and learning enthusiasm is improved.
In particular, when recommending learning groups to users, at least one learning group can be recommended to one user at the same time, and the user can choose to join one or more of the learning groups; for example, the fact that the user is interested in both ancient poems and mathematical olympics can be determined according to learning interest points of the user, the true level of the user for mastering the ancient poems is determined according to the relevant evaluation results of the user on the ancient poem part test questions in the test question evaluation results, and then students which are interested in the ancient poems and similar in true level form an ancient poem learning group; meanwhile, the real level of the user for mastering the mathematic Olympic Games is determined according to the related evaluation results of the user on the mathematic Olympic Games in the test question evaluation results, students which are interested in the mathematic Olympic Games and similar in real level form a mathematic Olympic Games learning group, and therefore two interested learning groups with similar levels are recommended for one user.
In order to ensure the learning quality of each learning group, the number of constituent persons of each learning group may be limited, for example, the number of persons of each learning group is limited to 3 to 5, if the obtained actual number of persons exceeds the upper limit number, the learning group may be divided into at least one learning group, and students with similar levels (for example, 80 points in the evaluation result) include 10 persons, so that the learning group may be divided into two learning groups, and the respective learning groups are respectively sent to the members in the learning group, and if the number of the finally determined learning group does not meet the limit number, the division of the learning groups may be further completed by merging or splitting, for example, 10 students in the above technical scheme, the first learning group only agrees to join by 3 persons, and the second learning group only agrees to join by 2 persons, so that the two learning groups may be merged into one, making the population of the learning group comply with the defined rules; if the first learning group has 4 agreeing to join and the second learning group has only 2 agreeing to join, then 1 person from the first learning group may be added to the second learning group so that the number of both groups meets the defined rules.
Optionally, in this embodiment of the present disclosure, after recommending, to each of the users, at least one of the learning groups that matches, the method further includes: and guiding each user to join the corresponding learning group. After recommending the learning group to the user, the user can be guided to join through a certain incentive policy, for example, if the user joins the learning group, a free member or a member point is given; the user can also be guided to join the learning group by a prominent prompt mark, for example, a pop-up prompt box after the learning group is recommended.
Optionally, in this embodiment of the present disclosure, after recommending, to each of the users, at least one of the learning groups that matches, the method includes: and acquiring the learning content of the associated users except the target user in the learning group, and recommending the learning content of the associated users to the target user. Because the members in the learning group have similar learning backgrounds and learning abilities, and the learning contents of other members (namely, associated users) in the learning group have stronger applicability to the current member (namely, the target user), the learning contents watched by other users in the learning group can be recommended to the current user as recommended contents, so that all the users in the learning group share the learning contents, and the learning contents are improved together.
Optionally, in this embodiment of the present disclosure, after recommending, to each of the users, at least one of the learning groups that matches, the method includes: the method comprises the steps of obtaining a pre-made learning plan list, obtaining learning plans matched with all learning groups in the learning plan list, and sending the learning plans to users in the matched learning groups. The learning plans in the learning plan list are pre-made according to regions, grades, subjects and learning abilities, for example, the learning plan of the language of the third grade in Beijing area can be divided into three plans according to different learning abilities, namely a basic learning plan, an improved learning plan and a breakthrough learning plan, each learning plan has different learning intensity and is suitable for different student groups, so that different learning plans are pertinently pushed to different learning groups according to the actual user level of each learning group to improve the learning efficiency of the group members.
According to the technical scheme of the embodiment, the real learning level of the user is determined through evaluation of the character information acquired by the learning equipment, at least one learning group is established through the personal information and the real learning level of each user, the established learning group is recommended to the user, other companions with similar backgrounds and levels are recommended to each user using the learning equipment, the functions of the learning equipment are enriched, the diversification of learning modes is realized, the learning effect and the learning interest are improved, the communication in the learning process is increased, and the learning enthusiasm of students is mobilized.
Example two
Fig. 2 is a block diagram of a structure of an obtaining apparatus of a learning group provided in the second embodiment of the present disclosure, which specifically includes: the question bank test question acquiring module 210, the judgment result acquiring module 220 and the learning group determining module 230.
The question bank question acquiring module 210 is configured to acquire image information captured by the learning device, and retrieve from the cloud question bank according to the text information extracted from the image information to acquire matched question bank questions;
the evaluation result obtaining module 220 is configured to evaluate the text information according to the question bank test questions to obtain an evaluation result, and add the evaluation result to the learning information of the corresponding user;
a learning group determining module 230, configured to establish at least one learning group according to the personal information of each user and the learning information, and recommend the matched at least one learning group to each user.
According to the technical scheme of the embodiment, the real learning level of the user is determined through evaluation of the character information acquired by the learning equipment, at least one learning group is established through the personal information and the real learning level of each user, the established learning group is recommended to the user, other companions with similar backgrounds and levels are recommended to each user using the learning equipment, the functions of the learning equipment are enriched, the diversification of learning modes is realized, the learning effect and the learning interest are improved, the communication in the learning process is increased, and the learning enthusiasm of students is mobilized.
Optionally, on the basis of the above technical solution, the question bank question acquiring module 210 is specifically configured to identify, through an optical character recognition technology, a picture and/or a text in the image information to extract the text information.
Optionally, on the basis of the above technical solution, the judgment result includes an answer score, wrong question content and/or learning progress.
Optionally, on the basis of the above technical solution, the obtaining apparatus of the learning group further includes:
the operation instruction acquisition module is used for acquiring an operation instruction transmitted by the learning equipment and displaying the matched playing content through a display screen of the learning equipment;
and the learning interest point extracting module is used for adding the playing content into the learning information of the corresponding user and extracting the learning interest points in the learning information according to the playing content.
Optionally, on the basis of the above technical solution, the obtaining apparatus of the learning group further includes:
and the guiding execution module is used for guiding each user to join the corresponding learning group.
Optionally, on the basis of the above technical solution, the obtaining apparatus of the learning group further includes:
and the learning content recommending module is used for acquiring the learning content of the associated user except the target user in the learning group and recommending the learning content of the associated user to the target user.
Optionally, on the basis of the above technical solution, the obtaining apparatus of the learning group further includes:
and the learning plan sending module is used for acquiring a pre-made learning plan list, acquiring a learning plan matched with each learning group from the learning plan list, and sending the learning plan to each user in the matched learning group.
The device can execute the acquisition method of the learning group provided by any embodiment of the disclosure, and has corresponding functional modules and beneficial effects of the execution method. Technical details that are not elaborated in this embodiment may be referred to a method provided by any embodiment of the present disclosure.
EXAMPLE III
FIG. 3 illustrates a schematic diagram of a server 300 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 server shown in fig. 3 is only an example, and should not bring any limitation to the function and the scope of use of the embodiments of the present disclosure.
As shown in fig. 3, the server 300 may include a processing device (e.g., central processing unit, graphics processor, etc.) 301 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)302 or a program loaded from a storage device 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data necessary for the operation of the server 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
Generally, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 308 including, for example, magnetic tape, hard disk, etc.; and a communication device 309. The communication means 309 may allow the server 300 to communicate wirelessly or by wire with other devices to exchange data. While fig. 3 illustrates a server 300 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 through the communication means 309, or installed from the storage means 308, or installed from the ROM 302. The computer program, when executed by the processing device 301, 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 interconnect 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 server; or may exist separately and not be assembled into the server.
The computer readable medium carries one or more programs which, when executed by the server, cause the server to: acquiring image information shot by learning equipment, and searching in a cloud question bank according to character information extracted from the image information to acquire matched question bank test questions; judging the text information according to the question bank test questions to obtain a judgment result, and adding the judgment result into the learning information of the corresponding user; and establishing at least one learning group according to the personal information and the learning information of each user, and recommending the matched at least one learning group to each user.
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 modules described in the embodiments of the present disclosure may be implemented by software or hardware. The name of the module does not form a limitation on the module itself in some cases, for example, the operation instruction obtaining module may be described as "obtaining an operation instruction transmitted by the learning device and displaying the matched playing content through the display screen of the learning device". 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.
According to one or more embodiments of the present disclosure, [ example 1 ] there is provided an acquisition method of a learning group, including:
acquiring image information shot by learning equipment, and searching in a cloud question bank according to character information extracted from the image information to acquire matched question bank test questions;
judging the text information according to the question bank test questions to obtain a judgment result, and adding the judgment result into the learning information of the corresponding user;
and establishing at least one learning group according to the personal information and the learning information of each user, and recommending the matched at least one learning group to each user.
In accordance with one or more embodiments of the present disclosure, [ example 2 ] there is provided the method of example 1, further comprising:
and identifying pictures and/or texts in the image information by an optical character identification technology so as to extract the character information.
In accordance with one or more embodiments of the present disclosure, [ example 3 ] there is provided the method of example 1, further comprising:
the judgment result comprises an answer score, wrong question content and/or learning progress.
In accordance with one or more embodiments of the present disclosure, [ example 4 ] there is provided the method of example 1, further comprising:
acquiring an operation instruction transmitted by learning equipment, and displaying the matched playing content through a display screen of the learning equipment;
and adding the playing content into the learning information of the corresponding user, and extracting learning interest points in the learning information according to the playing content.
In accordance with one or more embodiments of the present disclosure, [ example 5 ] there is provided the method of example 1, further comprising:
and guiding each user to join the corresponding learning group.
In accordance with one or more embodiments of the present disclosure, [ example 6 ] there is provided the method of example 1, further comprising:
and acquiring the learning content of the associated users except the target user in the learning group, and recommending the learning content of the associated users to the target user.
In accordance with one or more embodiments of the present disclosure, [ example 7 ] there is provided the method of example 1, further comprising:
and acquiring a pre-made learning plan list, acquiring a learning plan matched with each learning group from the learning plan list, and sending the learning plan to each user in the matched learning group.
According to one or more embodiments of the present disclosure, [ example 8 ] there is provided an acquisition apparatus of a learning group, including:
the question bank question acquisition module is used for acquiring image information shot by the learning equipment and searching in a cloud question bank according to character information extracted from the image information to acquire matched question bank questions;
the judgment result acquisition module is used for judging the text information according to the question bank test questions to acquire a judgment result and adding the judgment result into the learning information of the corresponding user;
and the learning group determining module is used for establishing at least one learning group according to the personal information and the learning information of each user and recommending the matched at least one learning group to each user.
According to one or more embodiments of the present disclosure, [ example 9 ] there is provided the apparatus of example 8, further comprising:
and the question bank question acquisition module is specifically used for identifying pictures and/or texts in the image information through an optical character recognition technology so as to extract character information.
According to one or more embodiments of the present disclosure, [ example 10 ] there is provided the apparatus of example 8, further comprising:
the judgment result comprises the answering score, wrong question content and/or learning progress.
According to one or more embodiments of the present disclosure, [ example 11 ] there is provided the apparatus of example 8, further comprising:
the operation instruction acquisition module is used for acquiring an operation instruction transmitted by the learning equipment and displaying the matched playing content through a display screen of the learning equipment;
and the learning interest point extracting module is used for adding the playing content into the learning information of the corresponding user and extracting the learning interest points in the learning information according to the playing content.
According to one or more embodiments of the present disclosure, [ example 12 ] there is provided the apparatus of example 8, further comprising:
and the guiding execution module is used for guiding each user to join the corresponding learning group.
According to one or more embodiments of the present disclosure, [ example 13 ] there is provided the apparatus of example 8, further comprising:
and the learning content recommending module is used for acquiring the learning content of the associated user except the target user in the learning group and recommending the learning content of the associated user to the target user.
According to one or more embodiments of the present disclosure, [ example 14 ] there is provided the apparatus of example 8, further comprising:
and the learning plan sending module is used for acquiring a pre-made learning plan list, acquiring a learning plan matched with each learning group from the learning plan list, and sending the learning plan to each user in the matched learning group.
According to one or more embodiments of the present disclosure, [ example 15 ] there is provided a server comprising a memory, a processing device, and a computer program stored on the memory and executable on the processing device, the processing device when executing the program implementing the acquisition method of the learning group as in any of examples 1-7.
According to one or more embodiments of the present disclosure, [ example 16 ] there is provided a storage medium containing computer-executable instructions for performing the acquisition method of the learning group as in any one of examples 1-7 when executed by a computer processor.
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 learning group acquisition method, comprising:
acquiring image information shot by learning equipment, and searching in a cloud question bank according to character information extracted from the image information to acquire matched question bank test questions;
judging the text information according to the question bank test questions to obtain a judgment result, and adding the judgment result into the learning information of the corresponding user;
and establishing at least one learning group according to the personal information and the learning information of each user, and recommending the matched at least one learning group to each user.
2. The method of claim 1, further comprising, before retrieving from a cloud question bank the text information extracted from the image information to obtain a matching question bank test question:
and identifying pictures and/or texts in the image information by an optical character identification technology so as to extract the character information.
3. The method of claim 1, wherein the evaluation result comprises an answer score, wrong-answer content and/or learning progress.
4. The method of claim 1, further comprising, prior to establishing at least one learning group based on the personal information of each of the users and the learning information:
acquiring an operation instruction transmitted by learning equipment, and displaying the matched playing content through a display screen of the learning equipment;
and adding the playing content into the learning information of the corresponding user, and extracting learning interest points in the learning information according to the playing content.
5. The method of claim 1, further comprising, after recommending to each of the users the matched at least one of the learning groups:
and guiding each user to join the corresponding learning group.
6. The method of claim 1, further comprising, after recommending to each of the users the matched at least one of the learning groups:
and acquiring the learning content of the associated users except the target user in the learning group, and recommending the learning content of the associated users to the target user.
7. The method of claim 1, further comprising, after recommending to each of the users the matched at least one of the learning groups:
and acquiring a pre-made learning plan list, acquiring a learning plan matched with each learning group from the learning plan list, and sending the learning plan to each user in the matched learning group.
8. An acquisition device for a learning group, comprising:
the question bank question acquisition module is used for acquiring image information shot by the learning equipment and searching in a cloud question bank according to character information extracted from the image information to acquire matched question bank questions;
the judgment result acquisition module is used for judging the text information according to the question bank test questions to acquire a judgment result and adding the judgment result into the learning information of the corresponding user;
and the learning group determining module is used for establishing at least one learning group according to the personal information and the learning information of each user and recommending the matched at least one learning group to each user.
9. A server comprising a memory, a processing means and a computer program stored on the memory and executable on the processing means, characterized in that the processing means when executing the program implements the learning group acquisition method according to any one of claims 1 to 7.
10. A storage medium containing computer executable instructions for performing the acquisition method of the learning group as claimed in any one of claims 1 to 7 when executed by a computer processor.
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