CN113673795A - Method and device for acquiring online teaching material content and intelligent screen equipment - Google Patents
Method and device for acquiring online teaching material content and intelligent screen equipment Download PDFInfo
- Publication number
- CN113673795A CN113673795A CN202010404264.9A CN202010404264A CN113673795A CN 113673795 A CN113673795 A CN 113673795A CN 202010404264 A CN202010404264 A CN 202010404264A CN 113673795 A CN113673795 A CN 113673795A
- Authority
- CN
- China
- Prior art keywords
- teaching material
- content
- acquiring
- online
- line
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 239000000463 material Substances 0.000 title claims abstract description 465
- 238000000034 method Methods 0.000 title claims abstract description 61
- 238000004891 communication Methods 0.000 claims abstract description 26
- 230000015654 memory Effects 0.000 claims description 19
- 230000000903 blocking effect Effects 0.000 claims description 6
- 239000000126 substance Substances 0.000 claims description 2
- 230000006870 function Effects 0.000 abstract description 21
- 230000003993 interaction Effects 0.000 description 10
- 238000010586 diagram Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 230000001360 synchronised effect Effects 0.000 description 5
- 241000282414 Homo sapiens Species 0.000 description 4
- 238000004590 computer program Methods 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 238000012015 optical character recognition Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 241000282412 Homo Species 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005538 encapsulation Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0633—Workflow analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/02—Electrically-operated educational appliances with visual presentation of the material to be studied, e.g. using film strip
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Educational Administration (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Educational Technology (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Electrically Operated Instructional Devices (AREA)
Abstract
The application discloses a method for acquiring contents of online teaching materials, and relates to the technical field of online education. The method for acquiring the contents of the online teaching materials is applied to the intelligent screen equipment, and the specific implementation scheme is as follows: the method comprises the steps of establishing a communication link between an intelligent screen and a prism assembly, identifying offline teaching material content by the prism assembly to obtain teaching material characteristics, generating a content acquisition instruction according to the teaching material characteristics, and acquiring online teaching material content provided by content clamping according to the content acquisition instruction. Therefore, the teaching material characteristics of the offline teaching material content can be identified through the prism assembly communicated with the intelligent screen, the online teaching material content matched with the teaching material characteristics can be obtained according to the content acquisition instruction generated by the teaching material characteristics, the function of synchronizing the online teaching material content and the offline teaching material content displayed by the intelligent screen device is realized, and the ability of a user for learning the offline teaching material is improved.
Description
Technical Field
The application relates to the technical field of internet, in particular to the technical field of online education, and particularly relates to an online teaching material content obtaining method and device and an intelligent screen device.
Background
The multi-modal intelligent interaction is the main form of intelligent interaction in the future, and along with the progress of artificial intelligence technology, the interaction between people and intelligent equipment and between people and machines tends to be more intelligent and natural. For example, the smart speaker, the smart robot, etc., the user may obtain various resources, such as in-class education resources, out-of-class resources, entertainment resources, etc., through interaction with the smart device.
However, when the existing smart device provides the teaching material content to the user, for example, the language man teaching material in 1-6 years, the mathematics man teaching material in 1-6 years, etc., only the teaching material resource stored inside the smart device can be provided to the user, so that the situation that the teaching material content acquired by the user cannot be provided when the teaching material content is not stored inside the smart device is caused.
Disclosure of Invention
The application provides a method and a device for acquiring online teaching material content, intelligent screen equipment and a storage medium.
An embodiment of a first aspect of the present application provides a method for acquiring online teaching material content, which is applied to an intelligent screen device, and the method includes:
establishing a communication link between the intelligent screen equipment and the prism assembly;
identifying offline teaching material contents by using the prism assembly to obtain teaching material characteristics;
generating a content acquisition instruction according to the teaching material characteristics;
and acquiring the online teaching material content provided by the content card position according to the content acquisition instruction.
The embodiment of the second aspect of the application provides an acquisition device of online teaching material content, is applied to smart screen equipment, the device includes:
the establishing module is used for establishing a communication link between the intelligent screen equipment and the prism assembly;
the identification module is used for identifying offline teaching material contents by adopting the prism assembly to obtain teaching material characteristics;
the generating module is used for generating a content acquisition instruction according to the teaching material characteristics;
and the acquisition module is used for acquiring the online teaching material content provided by the content card position according to the content acquisition instruction.
An embodiment of a third aspect of the present application provides a smart screen device, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method for acquiring on-line textbook content of the embodiment of the first aspect.
A fourth aspect of the present application provides a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the method for acquiring online textbook content of the first aspect.
One embodiment in the above application has the following advantages or benefits: the teaching material characteristics of the offline teaching material content can be identified through the prism assembly communicated with the intelligent screen, and then the online teaching material content matched with the teaching material characteristics can be obtained according to the content acquisition instruction generated by the teaching material characteristics, so that the online teaching material content matched with the offline teaching material content can be obtained, the function of synchronizing the online teaching material content displayed by the intelligent screen and the offline teaching material content is realized, and the learning capability of a user for learning the offline teaching material is improved.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
The drawings are included to provide a better understanding of the present solution and are not intended to limit the present application. Wherein:
fig. 1 is a schematic flowchart of a method for acquiring online teaching material content according to an embodiment of the present application;
fig. 2 is an exemplary diagram of a smart screen device provided in an embodiment of the present application;
fig. 3 is a schematic flowchart of a method for acquiring online teaching material content according to a second embodiment of the present application;
fig. 4 is a schematic structural diagram of an apparatus for acquiring online teaching material content according to a third embodiment of the present application;
fig. 5 is a block diagram of a smart screen device for implementing the method for acquiring online teaching material content according to the embodiment of the present application.
Detailed Description
The following description of the exemplary embodiments of the present application, taken in conjunction with the accompanying drawings, includes various details of the embodiments of the application for the understanding of the same, which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
The method and apparatus for acquiring online teaching material content, the smart screen device, and the storage medium according to the embodiments of the present application are described below with reference to the drawings.
Fig. 1 is a flowchart illustrating a method for acquiring online teaching material content according to an embodiment of the present application.
As a possible situation, the method for acquiring content of online teaching materials provided in the embodiment of the present Application may be applied to an education Application (APP), and the education APP may be run on a smart screen device.
It should be noted that the education application program in the embodiment of the present application is a system application program installed in advance, for example, a system application program embedded in the smart screen operating system in advance. That is, the educational application described in the present application is an application pre-embedded in an operating system, unlike a general application that can be downloaded and installed. The intelligent screen can be understood as a hardware device with intelligent functional elements such as a man-machine interaction screen, a voice collector, a voice player and an image collection cluster.
It should be noted that the education APP of the present application can provide not only on-line teaching material content, but also extraclass content unrelated to in-class teaching, such as classical Chinese, foreign and internal literature, scientific knowledge, and the like, which is not limited herein.
As an example, the present application describes in detail an acquisition method for providing online teaching material content by an education APP. The on-line teaching material content can include various teaching material contents such as 1-6 grades of language and literature teaching version, 1-6 grades of mathematics north teacher version, 1-6 grades of mathematics preschool teaching version and the like, and is not limited herein.
As shown in fig. 1, the method for acquiring online teaching material content may include the following steps:
The intelligent screen device can realize multi-modal interaction such as far-field voice interaction, gesture control, eye awakening, face recognition and the like with a user, so that more natural and diversified human-computer interaction experience is brought to the user. For example, the smart screen device may be a smart speaker configured with a touch screen.
The prism assembly in the application can comprise a prism frame, a reflector and the like.
In the embodiment of the application, the smart screen device may establish a communication link with the prism assembly through a Universal Serial Bus (USB for short), may also establish a communication link with the prism assembly through bluetooth, may also establish a communication link with the prism assembly through a wireless communication network connection, and the like.
It should be noted that the communication connection mode between the smart screen device and the prism assembly is not limited to the connection communication connection mode described above, and a communication link may also be established through another communication connection mode, which is not limited herein.
And 102, identifying the content of the offline teaching material by using the prism assembly to obtain the characteristics of the teaching material.
As a possible case, the teaching material characteristics may be a name of the teaching material to which the offline teaching material content belongs, a category of the teaching material, an education stage, a subject type, and the like.
In the embodiment of the application, after the intelligent screen device and the prism assembly establish the communication link, the prism assembly can be adopted to identify the offline teaching material content so as to obtain the teaching material characteristics corresponding to the offline teaching material content.
As a possible implementation mode, the prism assembly can be arranged above the intelligent screen device, the offline teaching material content and the intelligent screen device are placed on the same horizontal plane, and after the offline teaching material content is identified through the prism assembly, the intelligent screen obtains teaching material characteristics corresponding to the offline teaching material content.
As an example, assuming that a camera is disposed in the prism assembly, a teaching material image of offline teaching material content may be acquired through the camera in the prism assembly, and then the acquired teaching material image is identified to obtain text information included in the teaching material image, so as to perform semantic analysis on the text information to obtain a teaching material name, a teaching material classification, an education stage, a subject type, and the like corresponding to the offline teaching material content.
For example, referring to fig. 2, the smart screen device in fig. 2 may be a smart speaker, and the smart speaker and the offline teaching material content 20 may be placed on the same horizontal plane, so that the prism assembly 10 disposed above the smart speaker may identify the offline teaching material content 20 to obtain teaching material characteristics corresponding to the offline teaching material content 20.
As another possible implementation manner, after offline teaching material content is captured by a prism in the prism assembly, the offline teaching material content displayed in the prism is collected by a camera arranged in the intelligent screen device, so that the intelligent screen device obtains a teaching material image of the offline teaching material content, and then identifies the collected teaching material image to obtain text information contained in the teaching material image, so as to perform semantic analysis on the text information to obtain teaching material characteristics corresponding to the offline teaching material content.
And 103, generating a content acquisition instruction according to the teaching material characteristics.
The content obtaining instruction can be generated according to the teaching material characteristics, so that the education APP is used for obtaining the instruction of the online teaching material content corresponding to the teaching material characteristics. For example, the content acquisition instruction may carry an identifier of the teaching material feature.
In the embodiment of the application, the prism assembly is adopted to identify the content of the offline teaching material, after the characteristics of the teaching material are obtained, the content acquisition instruction carrying the characteristics of the teaching material can be generated according to the characteristics of the teaching material, so that the content of the online teaching material corresponding to the characteristics of the teaching material can be acquired according to the content acquisition instruction.
And 104, acquiring the online teaching material content provided by the content card according to the content acquisition instruction.
The education APP can comprise content screens, and online teaching material content is provided for the user based on the content screens. The on-line teaching material refers to on-line content corresponding to the teaching material learned in the classroom teaching. Such as chinese textbooks, math textbooks, english textbooks, and the like.
The content screens included in the education application programs can be controls in the interface development scene. Wherein, the control refers to the encapsulation of data and methods. The control may have its own properties and methods, the properties being simple visitors of the control data, and the methods being some simple and visible functions of the control. The content card is operable, that is, the content card not only displays some teaching material contents, but also can respond to the operation instruction of the user to execute corresponding functions.
Optionally, the function that the content card in the present application can provide may be an access function of a third-party application, a function of accessing a second-level page corresponding to the main interface, a function of invoking the education APP service itself, a function of accessing a content aggregation page of the external internet, and the like, which is not limited herein.
In the embodiment of the application, after the content acquisition instruction is generated according to the teaching material characteristics, the on-line teaching material content matched with the teaching material characteristics and provided by the content blocking position can be acquired according to the content acquisition instruction.
It should be explained that the method for obtaining the contents of the online textbook in the present application may be a multi-modal-based method, wherein each source or form of information may be referred to as a modality. For example, humans have touch, hearing, vision, smell; information media such as voice, video, text and the like; a wide variety of sensors, such as radar, infrared, accelerometer, etc., each of which may be referred to as a modality.
Two different languages may be considered as two modalities, and even data sets acquired under two different conditions may be considered as two modalities. Therefore, the method for providing online teaching material content by content blocking through multiple sources is referred to as a multi-modal online teaching material content acquisition method in the present application. For example, the content card may provide online teaching material content pre-stored by the education APP, may call a third party APP to obtain the online teaching material content, may obtain the online teaching material content through an external search engine, and the like, which is not limited herein.
As a possible implementation manner, since the content card position can call the function of the education APP itself to provide the online teaching material content, after the content acquisition instruction is generated according to the teaching material instruction, the online teaching material content matched with the teaching material characteristics can be acquired from the online teaching material content provided by the content card position.
It should be explained that the content card location can acquire various online teaching material contents in advance, and store the acquired various online teaching material contents in the corresponding teaching material content library. Therefore, after the content acquisition instruction generated according to the teaching material characteristics is acquired, the online teaching material content matched with the teaching material characteristics can be acquired from the teaching material content library according to the content acquisition instruction, and the speed of providing the online teaching material content by the education APP is improved.
As another possible implementation manner, since the content card position can call the function of the education APP itself to provide the online teaching material content, after the content acquisition instruction is generated according to the teaching material instruction, it can be determined whether the online teaching material content provided by the content card position includes the online teaching material content matched with the teaching material feature.
If the on-line teaching material content provided by the content card location comprises the on-line teaching material content matched with the teaching material characteristics, the on-line teaching material content provided by the content card location can be directly obtained; if the online teaching material content provided by the content card does not include the online teaching material content matched with the teaching material characteristics, the online teaching material content matched with the teaching material characteristics needs to be acquired from the third-party application program.
Therefore, when the on-line teaching material content matched with the teaching material characteristics is not included in the on-line teaching material content provided by the content card position, the on-line teaching material content matched with the teaching material characteristics can be obtained from the third-party application program, and the function that the education APP can provide rich on-line teaching material content is achieved.
For example, the online teaching material content displayed in the smart screen device shown in fig. 2 is the same as the offline teaching material content, and the function of acquiring the online teaching material content through the education APP is realized.
As another possible implementation manner, after the content acquisition instruction is generated according to the teaching material instruction, it is determined that the online teaching material content provided by the content card does not include the online teaching material content matched with the teaching material feature. In this case, the content acquisition instruction may be sent to an external search engine to acquire the online teaching material content according to the search result of the external search engine.
Optionally, according to the content obtaining instruction, the obtained content of the online teaching material provided by the content card may be video content or audio content, which is not limited herein.
In a possible case, according to the content acquisition instruction, the acquired online teaching material content provided by the content card can be video content synchronous with the offline teaching material content, so that a user can more deeply understand the offline teaching material content according to the video content displayed on the smart screen device.
In another possible case, according to the content obtaining instruction, the online teaching material content provided by the obtained content card may be audio content synchronized with the offline teaching material content. For example, when the off-line teaching material content is an english teaching material, the audio content corresponding to the english teaching material can be acquired, so that the user can accurately grasp the pronunciation of an english word following the audio content.
The method for acquiring the on-line teaching material content is applied to the intelligent screen device, the teaching material characteristics are obtained by establishing a communication link between the intelligent screen device and the prism assembly and adopting the prism assembly to identify the off-line teaching material content, the content acquisition instruction is generated according to the teaching material characteristics, and the on-line teaching material content provided by content blocking is acquired according to the content acquisition instruction. According to the method, the teaching material characteristics of the offline teaching material content can be identified and obtained through the prism assembly communicated with the intelligent screen device, and then the online teaching material content matched with the teaching material characteristics is obtained according to the content acquisition instruction generated by the teaching material characteristics, so that the function of synchronizing the online teaching material content and the offline teaching material content displayed by the intelligent screen device is realized, and the learning capability of a user for learning the offline teaching material is improved.
On the basis of the above embodiment, the present application provides another method for acquiring on-line teaching material content. See example two for details.
Fig. 3 is a flowchart illustrating a method for acquiring online teaching material content according to a second embodiment of the present application.
As shown in fig. 3, the method for acquiring online teaching material content may include the following steps:
In one possible scenario, the prism assembly may include a camera assembly, an image recognition assembly, and a semantic parsing assembly.
The camera assembly is used for capturing teaching material images of offline teaching material contents; the image identification component is used for carrying out image identification on the teaching material image and identifying character information contained in the teaching material image; and the semantic analysis component is used for carrying out image recognition on the teaching material image and recognizing the character information contained in the teaching material image.
In the embodiment of the present application, reference may be made to the implementation process of step 101 in the above embodiment for a process of establishing a communication link between the smart screen device and the prism assembly, which is not described herein again.
The teaching material characteristics can comprise content characteristics and attribute characteristics, the content characteristics can further comprise teaching material names and teaching material classification identifications, and the attribute characteristics can further comprise education stages and subject types. Because different offline teaching material contents correspond to different education stages, subject types, teaching material names and teaching material classification marks, teaching material characteristics corresponding to the offline teaching material contents can be generated.
As an example, assuming that the offline teaching material is a mathematical human teaching edition first-grade teaching material, the content of the offline teaching material is identified by adopting the prism assembly, so that the teaching material characteristic mathematical teaching material, the human teaching edition teaching material, the teaching stage of the first-grade teaching material and the subject type of mathematics can be obtained.
As a possible implementation manner, when obtaining the on-line teaching material content, the prism assembly may be installed above the smart screen device, the smart screen device and the off-line teaching material are in the same horizontal plane, and then the camera assembly in the prism assembly is used to capture the teaching material image of the off-line teaching material content. After the teaching material image of the offline teaching material content acquired by the camera assembly is acquired, the image recognition assembly can be adopted to perform image recognition on the teaching material image so as to recognize and obtain the character information contained in the teaching material image. Furthermore, a semantic analysis component is adopted to carry out semantic analysis on the text information so as to obtain the content characteristics.
It should be noted that the camera component can be a common camera, and the common camera can be used for shooting the contents of the offline teaching materials so as to obtain two-dimensional teaching material images corresponding to the contents of the offline teaching materials; the camera component can also be a depth camera, so that the content of the offline teaching material can be shot by the depth camera to obtain a three-dimensional teaching material image of the content of the offline teaching material containing depth information; of course, the camera assembly may also be other types of cameras, and is not limited herein.
As a possible implementation manner of the embodiment of the application, after the teaching material image of the offline teaching material content acquired by the camera assembly is acquired, the image recognition assembly may perform image recognition on the teaching material image by using an Optical Character Recognition (OCR) method, so as to recognize and obtain character information included in the teaching material image.
It should be explained that, after the teaching material image acquired by the camera assembly is acquired, the image recognition assembly recognizes and determines that the teaching material image is an invalid image, and then prompts the user to change the teaching material. For example, the user may be reminded in a manner of displaying characters on the screen of the smart screen device, such as "teaching materials are invalid and please change one book"; the user can be reminded in a voice playing mode, for example, the voice playing mode 'teaching material is invalid and please change one book'; the user may also be prompted by making a specific sound, such as a buzzer, preset music, etc., without limitation.
As another possible implementation manner of the embodiment of the application, after the teaching material image of the offline teaching material content acquired by the camera assembly is acquired, the image recognition assembly may first perform feature extraction on the teaching material image, and then input the teaching material feature map into a pre-trained image recognition model to perform image recognition on the teaching material image, so as to determine the text information contained in the teaching material image according to the output of the image recognition model.
It should be noted that the image recognition model is trained through a large number of sample images with marks, and the corresponding relationship between the teaching material feature map and the text information is obtained through learning, so that the text information contained in the image can be accurately recognized through the image recognition model. In order to improve the accuracy of the image recognition model, each page in the front cover and the text of the sample teaching material can be labeled, and the image information of the same page of the teaching material can be collected at different angles or positions, so that the sample for training the image recognition model is richer and more comprehensive, and the accuracy of the trained image recognition model is higher.
After the text information contained in the teaching material content is identified and obtained, the semantic analysis component can input the text information into the semantic analysis model so as to obtain the content characteristics corresponding to the offline teaching material content according to the output of the semantic analysis model.
In one possible case, the prism assembly can further include a sorting assembly. After the content features of the offline teaching material content are determined, the classification component can be adopted to determine the teaching material category to which the offline teaching material content belongs according to the content features, and the attribute features corresponding to the teaching material category are used as the attribute features of the offline teaching material content. Therefore, the online teaching material content matched with the teaching material content can be obtained according to the attribute characteristics and the content characteristics corresponding to the teaching material content.
And step 203, generating a content acquisition instruction according to the teaching material characteristics.
In the embodiment of the present application, the implementation process of step 201 to step 203 may also refer to the implementation process of step 101 to step 103 in the above embodiment, which is not described herein again.
And step 204, judging whether the on-line teaching material contents provided by the content card position include on-line teaching material contents matched with the teaching material characteristics according to the content acquisition instruction.
It can be understood that the content card location may acquire various online teaching material contents in advance, and store the acquired various online teaching material contents in the corresponding teaching material content library. Therefore, after the content acquisition instruction generated according to the teaching material characteristics is acquired, the online teaching material content matched with the teaching material characteristics can be acquired from the teaching material content library according to the content acquisition instruction, and the speed of providing the online teaching material content by the education APP is improved.
In the application, after the content acquisition instruction is generated according to the teaching material characteristics, whether the on-line teaching material content matched with the teaching material characteristics is contained in the on-line teaching material content provided by the content card position can be judged firstly.
In a possible case, the content card provides on-line teaching material contents including on-line teaching material contents matching with the teaching material characteristics, and then step 205 can be directly performed.
In another possible case, the content card provides on-line teaching material content that does not include on-line teaching material content matching with the teaching material feature, and then step 206 may be executed.
In step 205, if the online teaching material content matched with the teaching material characteristics is included, the matched online teaching material content is directly obtained.
In a possible situation, after the content acquisition instruction is generated according to the teaching material characteristics, it is determined that the on-line teaching material content provided by the content card includes the on-line teaching material content matched with the teaching material characteristics. In this case, the online teaching material content matched with the teaching material characteristics can be directly obtained from the teaching material content library.
In step 206, if the online teaching material content matched with the teaching material characteristics is not included, the online teaching material content is obtained from the third-party application program.
In one possible case, after the content acquisition instruction is generated according to the teaching material characteristics, it is determined that the on-line teaching material content matched with the teaching material characteristics is not included in the on-line teaching material content provided by the content card. In this case, the on-line teaching material content matched with the teaching material characteristics can be acquired from the third-party application program, so that the user can acquire the on-line teaching material content matched with the teaching material characteristics.
As a possible implementation manner, a content acquisition request can be generated according to content features and attribute features corresponding to offline teaching material content; further, the content acquisition request is sent to a third-party application program, and after the third-party application program receives the content acquisition request, the content of the online teaching materials corresponding to the content characteristics and the attribute characteristics can be inquired according to the content acquisition request; after the third-party application program inquires the on-line teaching material content corresponding to the content characteristics and the attribute characteristics, the on-line teaching material content is sent to the education APP, so that the education APP receives the on-line teaching material content corresponding to the content characteristics and the attribute characteristics fed back by the third-party application program.
In the application, after the education APP receives the online teaching material content corresponding to the content characteristics and the attribute characteristics fed back by the third-party application program, the online teaching material content fed back by the third-party application program can be added to the online teaching material content provided by the content card. Therefore, when the on-line teaching material content is obtained again, the on-line teaching material content can be directly obtained from the on-line teaching material content provided by the content card position, and the on-line teaching material content does not need to be obtained from the third-party application program again, so that the efficiency of obtaining the on-line teaching material content is improved.
It should be noted that the online teaching material content matched with the teaching material characteristics directly obtained from the online teaching material content provided by the content card and the online teaching material content obtained from the third-party application program may be video content and/or audio content synchronized with the offline teaching material content.
In a possible case, the acquired online teaching material content matched with the teaching material characteristics can be video content synchronized with the offline teaching material content, so that a user can more deeply understand the offline teaching material content according to the video content displayed on the smart screen.
In another possible case, the obtained online teaching material content matched with the teaching material characteristics can also be audio content synchronized with the offline teaching material content. For example, when the off-line teaching material content is an english teaching material, the audio content corresponding to the english teaching material can be acquired, so that the user can accurately grasp the pronunciation of an english word following the audio content.
According to the method for acquiring the on-line teaching material content, the communication link between the intelligent screen device and the prism assembly is established, the prism assembly is adopted to identify the off-line teaching material content to obtain the teaching material characteristics, the content acquisition instruction is generated according to the teaching material characteristics, and whether the on-line teaching material content provided by the content card position comprises the on-line teaching material content matched with the teaching material characteristics is judged according to the content acquisition instruction; if the online teaching material content matched with the teaching material characteristics is included, directly acquiring the matched online teaching material content; and if the online teaching material content matched with the teaching material characteristics is not included, acquiring the online teaching material content from the third-party application program. Therefore, the online teaching material content matched with the teaching material characteristics is obtained from the online teaching material content provided by the content blocking, and when the online teaching material content matched with the teaching material characteristics is not included in the online teaching material content provided by the content blocking, the online teaching material content matched with the teaching material characteristics is obtained from the third-party application program, so that the function that the education APP can provide rich online teaching material content is realized.
In order to implement the above embodiments, the present application provides an apparatus for acquiring content of online teaching materials.
Fig. 4 is a schematic structural diagram of an apparatus for acquiring online teaching material content according to a third embodiment of the present application.
As shown in fig. 4, the apparatus 400 for acquiring online teaching material content may be applied to a smart screen device, and the apparatus 400 for acquiring online teaching material content may include: an establishing module 410, an identifying module 420, a generating module 430, and an obtaining module 440.
The establishing module 410 is used for establishing a communication link between the smart screen device and the prism assembly.
And the identification module 420 is used for identifying the offline teaching material content by adopting the prism assembly to obtain the teaching material characteristics.
And the generating module 430 is configured to generate a content obtaining instruction according to the teaching material characteristics.
The obtaining module 440 is configured to obtain the online teaching material content provided by the content card according to the content obtaining instruction.
As a possible scenario, the obtaining module 440 may include:
and the judging unit is used for judging whether the on-line teaching material contents provided by the content card position comprise on-line teaching material contents matched with the teaching material characteristics according to the content acquisition instruction.
The first acquisition unit is used for directly acquiring the matched on-line teaching material content if the on-line teaching material content matched with the teaching material characteristics is included.
And the second acquisition unit is used for acquiring the on-line teaching material content from the third-party application program if the on-line teaching material content matched with the teaching material characteristics is not included.
As another possible scenario, the textbook features may include: the second obtaining unit is further configured to:
generating a content acquisition request according to the content characteristics and the attribute characteristics;
sending the content acquisition request to a third-party application program;
and receiving online teaching material content corresponding to the content characteristics and the attribute characteristics fed back by the third-party application program.
As another possible case, the obtaining module 440 may include:
and the adding unit is used for adding the on-line teaching material content fed back by the third-party application program into the on-line teaching material content provided by the content card.
As another possible scenario, the prism assembly may include a camera assembly, an image recognition assembly, and a semantic parsing assembly, wherein the camera assembly is used to capture teaching material images of the offline teaching material content;
adopting an image recognition component to perform image recognition on the teaching material image and recognize character information contained in the teaching material image;
and adopting a semantic analysis component to carry out semantic analysis on the character information to obtain the content characteristics.
As another possible case, the prism assembly may further include a classification assembly, and the classification assembly is adopted to determine the teaching material category to which the contents of the teaching material under the line belong according to the content characteristics, and use the attribute characteristics corresponding to the teaching material category as the attribute characteristics of the contents of the teaching material under the line.
As another possible scenario, the attribute features may include: educational phase and discipline type.
As another possible scenario, the content features may include: teaching material names and teaching material classification marks.
It should be noted that the explanation of the above embodiment of the method for acquiring online teaching material content is also applicable to the apparatus for acquiring online teaching material content of this embodiment, and is not repeated here.
The device for acquiring the on-line teaching material content is applied to intelligent screen equipment, and through establishing a communication link between an intelligent screen and a prism assembly, the prism assembly is adopted to identify the off-line teaching material content to obtain teaching material characteristics, content acquisition instructions are generated according to the teaching material characteristics, and the on-line teaching material content provided by content clamping is acquired according to the content acquisition instructions. Therefore, the teaching material characteristics of the offline teaching material content can be identified through the prism assembly communicated with the intelligent screen device, the online teaching material content matched with the teaching material characteristics can be acquired according to the content acquisition instruction generated by the teaching material characteristics, the function of synchronizing the online teaching material content and the offline teaching material content displayed by the intelligent screen device is realized, and the learning ability of a user for learning the offline teaching material is improved.
According to an embodiment of the present application, the present application also provides a smart screen device and a readable storage medium.
Fig. 5 is a block diagram of a smart screen device according to an embodiment of the present application, illustrating an obtaining method of online teaching material content. Smart screen devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. Smart screen devices may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.
As shown in fig. 5, the smart screen device includes: one or more processors 501, memory 502, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the smart screen device, including instructions stored in or on the memory to display graphical information of a GUI on an external input/output apparatus (such as a display device coupled to the interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple smart screen devices may be connected, with each device providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multi-processor system). In fig. 5, one processor 501 is taken as an example.
The memory 502, which is a non-transitory computer-readable storage medium, may be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules corresponding to the method for acquiring online textbook content in the embodiment of the present application (for example, the creating module 410, the identifying module 420, the generating module 430, and the acquiring module 440 shown in fig. 4). The processor 501 executes various functional applications and data processing of the server by running the non-transitory software programs, instructions and modules stored in the memory 502, that is, implements the method for acquiring the contents of the online teaching materials in the above method embodiments.
The memory 502 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the smart screen device, and the like. Further, the memory 502 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 502 optionally includes memory located remotely from processor 501, which may be connected to the smart screen device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The smart screen device may further include: an input device 503 and an output device 504. The processor 501, the memory 502, the input device 503 and the output device 504 may be connected by a bus or other means, and fig. 5 illustrates the connection by a bus as an example.
The input device 503 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the smart screen device, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, a pointing stick, one or more mouse buttons, a track ball, a joystick, or other input device. The output devices 504 may include a display device, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibrating motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
According to the technical scheme of the embodiment of the application, the education application program is applied to the education application program, the education application program runs on the intelligent screen, the education application program comprises a content clamping position, the content clamping position can provide on-line teaching material content, the prism assembly is adopted to identify the off-line teaching material content by establishing a communication link between the intelligent screen and the prism assembly, teaching material characteristics are obtained, a content obtaining instruction is generated according to the teaching material characteristics, and the on-line teaching material content provided by the content clamping position is obtained according to the content obtaining instruction. According to the method, the teaching material characteristics of the offline teaching material content can be identified and obtained through the prism assembly communicated with the intelligent screen, and then the online teaching material content matched with the teaching material characteristics can be obtained according to the content acquisition instruction generated by the teaching material characteristics, so that the function of synchronizing the online teaching material content and the offline teaching material content displayed by the intelligent screen is realized, and the learning capability of a user for learning the offline teaching material is improved.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, and the present invention is not limited thereto as long as the desired results of the technical solutions disclosed in the present application can be achieved.
The above-described embodiments should not be construed as limiting the scope of the present application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (18)
1. A method for acquiring online teaching material content is applied to intelligent screen equipment, and comprises the following steps:
establishing a communication link between the intelligent screen equipment and the prism assembly;
identifying offline teaching material contents by using the prism assembly to obtain teaching material characteristics;
generating a content acquisition instruction according to the teaching material characteristics;
and acquiring the online teaching material content provided by the content card position according to the content acquisition instruction.
2. The method for acquiring online teaching material contents according to claim 1, wherein the acquiring online teaching material contents provided by content blocking according to the content acquisition instruction comprises:
judging whether the on-line teaching material contents provided by the content screens include on-line teaching material contents matched with the teaching material characteristics or not according to the content acquisition instruction;
if the online teaching material content matched with the teaching material characteristics is included, directly acquiring the matched online teaching material content;
and if the online teaching material content matched with the teaching material characteristics is not included, acquiring the online teaching material content from a third-party application program.
3. The method for acquiring on-line teaching material content according to claim 2, wherein the teaching material characteristics comprise: content features and attribute features, wherein the obtaining of the online teaching material content from a third party application comprises:
generating a content acquisition request according to the content characteristics and the attribute characteristics;
sending the content acquisition request to the third-party application program;
and receiving on-line teaching material content corresponding to the content characteristics and the attribute characteristics, which is fed back by the third-party application program.
4. The method for acquiring on-line teaching material content according to claim 2, wherein the method further comprises:
and adding the on-line teaching material content fed back by the third-party application program into the on-line teaching material content provided by the content card.
5. The method of claim 3, wherein the prism assembly comprises a camera assembly, an image recognition assembly, and a semantic analysis assembly, wherein,
capturing teaching material images of the offline teaching material content by adopting the camera assembly;
adopting the image recognition component to perform image recognition on the teaching material image and recognize character information contained in the teaching material image;
and adopting the semantic analysis component to carry out semantic analysis on the character information to obtain the content characteristics.
6. The method for obtaining on-line educational material content of claim 3, wherein the prism assembly further comprises a sorting assembly, wherein,
and determining the teaching material category to which the offline teaching material content belongs according to the content characteristics by adopting the classification component, and taking the attribute characteristics corresponding to the teaching material category as the attribute characteristics of the offline teaching material content.
7. The method for acquiring on-line textbook contents of any one of claims 3 to 6, wherein the attribute features include: educational phase and discipline type.
8. The method for acquiring contents of on-line textbook according to any one of claims 3 to 6, wherein the characteristics of the contents include: teaching material names and teaching material classification marks.
9. An acquisition device of online teaching material content is applied to smart screen equipment, the device includes:
the establishing module is used for establishing a communication link between the intelligent screen equipment and the prism assembly;
the identification module is used for identifying offline teaching material contents by adopting the prism assembly to obtain teaching material characteristics;
the generating module is used for generating a content acquisition instruction according to the teaching material characteristics;
and the acquisition module is used for acquiring the online teaching material content provided by the content card position according to the content acquisition instruction.
10. The apparatus for acquiring on-line teaching material content according to claim 9, wherein the acquiring module comprises:
the judging unit is used for judging whether the on-line teaching material contents provided by the content screens include on-line teaching material contents matched with the teaching material characteristics or not according to the content acquisition instruction;
the first acquisition unit is used for directly acquiring the matched online teaching material content if the online teaching material content matched with the teaching material characteristics is included;
and the second acquisition unit is used for acquiring the on-line teaching material content from a third-party application program if the on-line teaching material content matched with the teaching material characteristics is not included.
11. The apparatus for acquiring on-line teaching material content according to claim 9, wherein the teaching material characteristics include: the second obtaining unit is further configured to:
generating a content acquisition request according to the content characteristics and the attribute characteristics;
sending the content acquisition request to the third-party application program;
and receiving on-line teaching material content corresponding to the content characteristics and the attribute characteristics, which is fed back by the third-party application program.
12. The apparatus for acquiring on-line teaching material content according to claim 9, wherein the acquiring module comprises:
and the adding unit is used for adding the online teaching material content fed back by the third-party application program into the online teaching material content provided by the content card.
13. The apparatus for acquiring on-line teaching material content according to claim 11, wherein the prism assembly comprises a camera assembly, an image recognition assembly, and a semantic analysis assembly, wherein,
capturing teaching material images of the offline teaching material content by adopting the camera assembly;
adopting the image recognition component to perform image recognition on the teaching material image and recognize character information contained in the teaching material image;
and adopting the semantic analysis component to carry out semantic analysis on the character information to obtain the content characteristics.
14. The apparatus for acquiring on-line teaching material content according to claim 11, wherein the prism assembly further comprises a sorting assembly, wherein,
and determining the teaching material category to which the offline teaching material content belongs according to the content characteristics by adopting the classification component, and taking the attribute characteristics corresponding to the teaching material category as the attribute characteristics of the offline teaching material content.
15. The apparatus for acquiring online textbook content according to any one of claims 11 to 14, wherein the attribute feature includes: educational phase and discipline type.
16. The apparatus for acquiring contents of on-line educational material as set forth in any one of claims 11 to 14, wherein said contents characteristics include: teaching material names and teaching material classification marks.
17. A smart screen device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of obtaining on-line textbook content of any of claims 1-8.
18. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the acquisition method of on-line textbook content of any one of claims 1 to 8.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010404264.9A CN113673795A (en) | 2020-05-13 | 2020-05-13 | Method and device for acquiring online teaching material content and intelligent screen equipment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010404264.9A CN113673795A (en) | 2020-05-13 | 2020-05-13 | Method and device for acquiring online teaching material content and intelligent screen equipment |
Publications (1)
Publication Number | Publication Date |
---|---|
CN113673795A true CN113673795A (en) | 2021-11-19 |
Family
ID=78537063
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010404264.9A Pending CN113673795A (en) | 2020-05-13 | 2020-05-13 | Method and device for acquiring online teaching material content and intelligent screen equipment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113673795A (en) |
Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20080090117A (en) * | 2007-04-04 | 2008-10-08 | 주식회사 지팡이 | The automatic talking book |
US20080293032A1 (en) * | 2007-05-25 | 2008-11-27 | Kang-Seok Lee | Image linkage tuition device |
CN103050025A (en) * | 2012-12-20 | 2013-04-17 | 广东欧珀移动通信有限公司 | Mobile terminal learning method and learning system thereof |
CN104809921A (en) * | 2015-05-13 | 2015-07-29 | 徐勇鹏 | Educational training system |
CN104900093A (en) * | 2015-06-25 | 2015-09-09 | 武汉委托帮教育科技有限公司 | Learning device and using method thereof |
CN106297435A (en) * | 2016-08-15 | 2017-01-04 | 宁波包豪斯教育科技有限公司 | Childhood education system and childhood education method |
CN107766543A (en) * | 2017-10-31 | 2018-03-06 | 广东小天才科技有限公司 | A kind of search result of knowledge based point provides method and device |
CN107992507A (en) * | 2017-03-09 | 2018-05-04 | 北京物灵智能科技有限公司 | A kind of child intelligence dialogue learning method, system and electronic equipment |
CN108847066A (en) * | 2018-05-31 | 2018-11-20 | 上海与德科技有限公司 | A kind of content of courses reminding method, device, server and storage medium |
CN109559576A (en) * | 2018-11-16 | 2019-04-02 | 中南大学 | A kind of children companion robot and its early teaching system self-learning method |
CN109712449A (en) * | 2019-03-06 | 2019-05-03 | 武汉几古几古科技有限公司 | A kind of intellectual education learning system improving child's learning initiative |
CN110767000A (en) * | 2019-10-28 | 2020-02-07 | 安徽信捷智能科技有限公司 | Children's course synchronizer based on image recognition |
CN111077996A (en) * | 2019-06-09 | 2020-04-28 | 广东小天才科技有限公司 | Information recommendation method based on point reading and learning equipment |
CN111145604A (en) * | 2019-12-30 | 2020-05-12 | 西安Tcl软件开发有限公司 | Method and device for recognizing picture books and computer readable storage medium |
-
2020
- 2020-05-13 CN CN202010404264.9A patent/CN113673795A/en active Pending
Patent Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20080090117A (en) * | 2007-04-04 | 2008-10-08 | 주식회사 지팡이 | The automatic talking book |
US20080293032A1 (en) * | 2007-05-25 | 2008-11-27 | Kang-Seok Lee | Image linkage tuition device |
CN103050025A (en) * | 2012-12-20 | 2013-04-17 | 广东欧珀移动通信有限公司 | Mobile terminal learning method and learning system thereof |
CN104809921A (en) * | 2015-05-13 | 2015-07-29 | 徐勇鹏 | Educational training system |
CN104900093A (en) * | 2015-06-25 | 2015-09-09 | 武汉委托帮教育科技有限公司 | Learning device and using method thereof |
CN106297435A (en) * | 2016-08-15 | 2017-01-04 | 宁波包豪斯教育科技有限公司 | Childhood education system and childhood education method |
CN107992507A (en) * | 2017-03-09 | 2018-05-04 | 北京物灵智能科技有限公司 | A kind of child intelligence dialogue learning method, system and electronic equipment |
CN107766543A (en) * | 2017-10-31 | 2018-03-06 | 广东小天才科技有限公司 | A kind of search result of knowledge based point provides method and device |
CN108847066A (en) * | 2018-05-31 | 2018-11-20 | 上海与德科技有限公司 | A kind of content of courses reminding method, device, server and storage medium |
CN109559576A (en) * | 2018-11-16 | 2019-04-02 | 中南大学 | A kind of children companion robot and its early teaching system self-learning method |
CN109712449A (en) * | 2019-03-06 | 2019-05-03 | 武汉几古几古科技有限公司 | A kind of intellectual education learning system improving child's learning initiative |
CN111077996A (en) * | 2019-06-09 | 2020-04-28 | 广东小天才科技有限公司 | Information recommendation method based on point reading and learning equipment |
CN110767000A (en) * | 2019-10-28 | 2020-02-07 | 安徽信捷智能科技有限公司 | Children's course synchronizer based on image recognition |
CN111145604A (en) * | 2019-12-30 | 2020-05-12 | 西安Tcl软件开发有限公司 | Method and device for recognizing picture books and computer readable storage medium |
Non-Patent Citations (1)
Title |
---|
张国云;杨文正;赵梅;: ""技术赋能学习"视域下新兴技术在教育APP中的应用前瞻分析", 中国电化教育, no. 10 * |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11080520B2 (en) | Automatic machine recognition of sign language gestures | |
EP3812926A1 (en) | Multimodal content processing method, apparatus, device and storage medium | |
US10664060B2 (en) | Multimodal input-based interaction method and device | |
US20240031688A1 (en) | Enhancing tangible content on physical activity surface | |
CN110991427B (en) | Emotion recognition method and device for video and computer equipment | |
CN112507090B (en) | Method, apparatus, device and storage medium for outputting information | |
US20210049354A1 (en) | Human object recognition method, device, electronic apparatus and storage medium | |
EP3828868A2 (en) | Method and apparatus for determining key learning content, device, storage medium, and computer program product | |
CN112434139A (en) | Information interaction method and device, electronic equipment and storage medium | |
CN112508750A (en) | Artificial intelligence teaching device, method, equipment and storage medium | |
CN111966212A (en) | Multi-mode-based interaction method and device, storage medium and smart screen device | |
CN112232066A (en) | Teaching outline generation method and device, storage medium and electronic equipment | |
CN111858880A (en) | Method and device for obtaining query result, electronic equipment and readable storage medium | |
US20200027364A1 (en) | Utilizing machine learning models to automatically provide connected learning support and services | |
CN112559715B (en) | Attitude identification method, device, equipment and storage medium | |
CN112182343A (en) | Online learning interaction method, device, equipment and storage medium | |
CN112382292A (en) | Voice-based control method and device | |
CN111241802A (en) | Job generation method and device, storage medium and terminal | |
CN110633357A (en) | Voice interaction method, device, equipment and medium | |
CN113673795A (en) | Method and device for acquiring online teaching material content and intelligent screen equipment | |
CN114296627B (en) | Content display method, device, equipment and storage medium | |
EP3896614A2 (en) | Method and apparatus for labeling data | |
CN114708443A (en) | Screenshot processing method and device, electronic equipment and computer readable medium | |
CN110727795B (en) | News broadcasting method and device | |
Jamaludin et al. | Dynamic hand gesture to text using leap motion |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |