Display device and learning content retrieval method

Abstract

The invention provides a display device and a learning content retrieval method, and the method comprises the steps: obtaining first score information and learning type information which are input by a user and comprise at least two learning subjects through responding to a voice instruction for retrieving learning content, calculating a score proportion according to the first score information and a full score, and obtaining a score result according to the score proportion. And calculating a learning content recommendation proportion according to the score proportion, obtaining a target learning content corresponding to the learning type information output by the retrieval model according to the learning content recommendation proportion, and displaying the target learning content on a user interface. By calculating the score proportion and dynamically adjusting the learning content recommendation proportion, the data volume of the target learning content corresponds to the learning content recommendation proportion, the learning amount is dynamically adjusted according to the score information of the user, and the learning reasonability of the user for different learning subjects is improved.

Description

Technical Field

[0001] This application relates to the technical field of display devices, and in particular, to a display device and a learning content retrieval method. Background Art

[0002] A display device can integrate a voice assistant function and can respond to user commands through voice interaction. A user can control device operations, query information, or invoke specific functions through voice commands. For example, playing media content, setting reminders, or obtaining real-time news, etc., significantly improving the convenience of the user to control the operations of the display device.

[0003] The voice assistant can also be applied in the field of education. The display device can retrieve learning resources through voice commands, such as question banks, exercise solutions, or knowledge point explanations. The voice assistant can retrieve relevant exercises from the learning resource library in the cloud or local database according to the subject keywords input by the user, such as "mathematics", "physics", or the question type, such as "trigonometric function exercises", and push them to the display device for students to learn.

[0004] However, the voice assistant will recommend the same proportion of learning content for multiple subjects and cannot dynamically adjust the proportion of learning content for different subjects according to the multi-subject score information of students. For example, if a student has a lower mathematics score and a higher physics score, if the voice assistant pushes exercises according to the principle of evenly distributing exercises for different subjects, it cannot preferentially allocate more learning resources to the weak subject. Summary of the Invention

[0005] This application provides a display device and a learning content retrieval method to solve the problem that the display device cannot dynamically adjust the subject learning content.

[0006] In a first aspect, some embodiments of this application provide a display device, including:

[0007] A display, configured to display a user interface;

[0008] A memory, configured to store a retrieval model, where the retrieval model is used to retrieve learning content in a learning resource library;

[0009] A controller, configured to:

[0010] In response to a voice command for retrieving learning content, obtain first score information and learning type information of the user input including at least two learning subjects;

[0011] Calculate a score ratio according to the first score information of the learning subject and the full score of the learning subject;

[0012] Calculate the learning content recommendation ratio according to the score ratio of the learning subject, and the learning content recommendation ratio is inversely proportional to the score ratio;

[0013] Obtain the target learning content corresponding to the learning type information output by the retrieval model according to the learning content recommendation ratio;

[0014] Display the target learning content on the user interface.

[0015] The above technical solutions have the following beneficial effects and advantages: By responding to the voice command, obtaining the first score information and learning type information input by the user, and calculating the score ratio according to the first score information and the full score, so as to adjust the learning content recommendation ratio according to the score ratio, reduce the learning content of the learning subject with a relatively high score ratio, and increase the learning content of the learning subject with a relatively low score ratio, which can improve the user's practice of learning weak subjects.

[0016] In some embodiments, the controller executes the step of displaying the target learning content on the user interface, and is specifically configured as:

[0017] Obtain the learning planning period input by the user;

[0018] According to the learning content recommendation ratio, divide the learning planning period into subject learning periods according to the learning subjects;

[0019] When the current time is within the subject learning period, display the target learning content of the learning subject corresponding to the subject learning period on the user interface.

[0020] The above technical solutions have the following beneficial effects and advantages: By obtaining the learning planning period input by the user, the learning planning period can be divided according to different subjects, so that the user can obtain the learning content of different learning subjects during different subject learning periods, improving the rationality of the learning plan.

[0021] In some embodiments, when the learning subjects corresponding to two adjacent subject learning periods are different, the controller is further configured to:

[0022] At the end of the current subject learning period, cancel the display of the target learning content corresponding to the current subject learning period on the user interface;

[0023] Display the target learning content of the next subject learning period on the user interface.

[0024] The above technical solution has the following beneficial effects and advantages: When the learning subjects corresponding to two adjacent learning periods are different, when the current learning period ends, the learning content corresponding to the current learning period can be withdrawn from display, and the target learning content of the next learning period can be displayed on the user interface, so that the user can learn the learning content of multiple subjects.

[0025] In some embodiments, when the current learning period has not ended, the controller performs the step of withdrawing the display of the target learning content corresponding to the current learning period on the user interface, and is further configured to:

[0026] Record the answering duration and answering progress according to the user's answering operation on the user interface;

[0027] When the answering progress is equal to the target answering progress and the answering duration is less than the duration of the learning period of the subject, withdraw the display of the target learning content corresponding to the current learning period on the user interface.

[0028] The above technical solution has the following beneficial effects and advantages: If the user finishes answering in advance when the current learning stage of the subject has not ended, therefore, the learning period of the subject can be ended in advance through the answering duration and answering progress, improving learning efficiency.

[0029] In some embodiments, the controller is further configured to:

[0030] Respond to the exit instruction input by the user to exit the target learning content, and record the exit time point;

[0031] Calculate the learning duration according to the exit time point and the start time point of the learning period of the subject;

[0032] When the learning duration is less than the total duration of the learning period of the subject, calculate the duration ratio of the remaining duration to the total duration of the learning period of the subject;

[0033] Increase the recommended proportion of the learning content of the next learning period according to the duration ratio.

[0034] The above technical solution has the following beneficial effects and advantages: The user can actively exit the interface corresponding to the target learning content. Therefore, the display device can respond to the exit instruction input by the user, record the exit time point, and calculate the learning duration. If the learning duration is less than the total duration of the learning stage of the subject, the recommended proportion of the learning content of the next learning period is increased according to the remaining duration.

[0035] In some embodiments, the controller is further configured to:

[0036] Obtain the second score information input by the user according to the learning subject, where the second score information is the score information input after the first score information;

[0037] Update the score ratio according to the second score information and the full score of the learning subject;

[0038] Update the learning content ratio according to the updated score ratio;

[0039] Update the target learning content through the retrieval model according to the updated learning content ratio and the learning type information.

[0040] The above technical solutions have the following beneficial effects and advantages: The user can upload new score information at any time to update the score ratio according to the new score information, thereby adjusting the learning content ratio and updating the target learning content, realizing the dynamic adjustment of the learning content of different learning subjects.

[0041] In some embodiments, the controller executes the step of obtaining the target learning content corresponding to the learning type information output by the retrieval model according to the recommended ratio of the learning content, and is specifically configured as:

[0042] Set a score ratio threshold;

[0043] When the score ratio is less than the score ratio threshold, determine the first retrieval range of the learning subject in the learning resource library according to the initial difficulty of the learning content;

[0044] Output the target learning content corresponding to the learning type information through the retrieval model within the first retrieval range according to the recommended ratio of the learning content.

[0045] The above technical solutions have the following beneficial effects and advantages: When the score ratio of the user's learning subject is low, the first search range can be determined in the learning resource library according to the initial difficulty of the learning content to obtain the target learning content suitable for the user's difficulty, improving the adaptability of the user's learning.

[0046] In some embodiments, when the score ratio is greater than or equal to the score ratio threshold, the controller is further configured to:

[0047] Determine the second retrieval range of the learning subject in the learning resource library according to the target difficulty of the learning content, where the target difficulty is higher than the initial difficulty;

[0048] Output the target learning content corresponding to the learning type information through the retrieval model within the second retrieval range according to the recommended ratio of the learning content.

[0049] The above technical solutions have the following beneficial effects and advantages: when the score ratio of the user's learning subject is relatively high, higher-difficulty target learning content can be retrieved from the learning media library to improve the user's learning adaptability to high-difficulty learning content.

[0050] In some embodiments, the controller performs the step of determining a first retrieval range of the learning subject in the learning resource library according to the initial difficulty of the learning content, and is further configured to

[0051] Retrieve historical wrong-question content from the learning resource library;

[0052] Generate a first retrieval range based on the learning content retrieved according to the initial difficulty and the historical wrong-question content.

[0053] The above technical solutions have the following beneficial effects and advantages: when the score ratio of the user's learning subject is relatively low, the historical wrong-question content and the learning content retrieved according to the initial difficulty can also be used to generate a first retrieval range, so as to improve the user's review learning of wrong questions, enable the user to gradually master the wrong-question content, and improve the comprehensiveness of learning.

[0054] In a second aspect, some embodiments of the present application provide a learning content retrieval method, which is applied to the display device described in the first aspect. The method includes:

[0055] In response to a voice command for retrieving learning content, obtain first score information and learning type information of at least two learning subjects input by the user;

[0056] Calculate a score ratio according to the first score information of the learning subject and the full score of the learning subject;

[0057] Calculate a learning content recommendation ratio according to the score ratio of the learning subject. The learning content recommendation ratio is in an inverse proportional relationship with the score ratio;

[0058] Obtain target learning content corresponding to the learning type information output by the retrieval model according to the learning content recommendation ratio;

[0059] Display the target learning content on the user interface.

[0060] As can be seen from the above technical solutions, the present application provides a display device and a learning content retrieval method. By responding to a voice command for retrieving learning content, the first score information and learning type information of at least two learning subjects input by the user are obtained. The score ratio is calculated according to the first score information and the full score, the learning content recommendation ratio is calculated according to the score ratio, the retrieval model outputs the target learning content corresponding to the learning type information according to the learning content recommendation ratio, and the target learning content is displayed on the user interface. By calculating the score ratio, the present application dynamically adjusts the learning content recommendation ratio, makes the data volume of the target learning content correspond to the learning content recommendation ratio, dynamically adjusts the learning amount according to the user's score information, and improves the learning rationality of the user for different learning subjects. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0062] Figure 1 Schematic diagram of the operation scenario between the display device and the control device provided in some embodiments of the present application;

[0063] Figure 2 Schematic diagram of the hardware configuration of the display device provided in some embodiments of the present application;

[0064] Figure 3 Schematic diagram of the software configuration of the display device provided in some embodiments of the present application;

[0065] Figure 4 Flowchart of the display device executing learning content retrieval provided in some embodiments of the present application;

[0066] Figure 5 Timing diagram of the display device executing learning content retrieval provided in some embodiments of the present application;

[0067] Figure 6 Flowchart of the display device parsing to obtain learning type information and first score information in some embodiments of the present application;

[0068] Figure 7 Flowchart of the display device calculating the learning content recommendation ratio provided in some embodiments of the present application;

[0069] Figure 8 Flowchart of the display device retrieving the target learning content provided in some embodiments of the present application;

[0070] Figure 9 Flowchart of a display device provided in some embodiments of the present application for retrieving content according to a recommended ratio based on learning content;

[0071] Figure 10 Schematic diagram of a learning interface of a display device provided in some embodiments of the present application;

[0072] Figure 11 Flowchart of a display device provided in some embodiments of the present application for dividing learning time periods by subject;

[0073] Figure 12 Flowchart of a display device provided in some embodiments of the present application for completing answering in advance;

[0074] Figure 13 Flowchart of a display device provided in some embodiments of the present application for a user to actively exit learning in advance;

[0075] Figure 14 Flowchart of a display device provided in some embodiments of the present application for adjusting the recommended ratio according to the updated score. Detailed implementation manners

[0076] The embodiments will be described in detail below, and the examples are shown in the accompanying drawings. When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following embodiments do not represent all implementation manners consistent with the present application. They are only examples of systems and methods consistent with some aspects of the present application detailed in the claims.

[0077] It should be noted that the brief description of the terms in the present application is only for facilitating the understanding of the following described implementation manners, rather than intending to limit the implementation manners of the present application. Unless otherwise specified, these terms should be understood in their ordinary and common meanings.

[0078] The terms "first", "second", "third", etc. in the specification, claims and the above-mentioned drawings of the present application are used to distinguish similar or like objects or entities, and do not necessarily mean to limit a specific order or sequence, unless otherwise noted. It should be understood that such terms can be interchanged under appropriate circumstances.

[0079] The terms "comprising" and "having" and any variations thereof are intended to cover but not be exclusive of inclusion. For example, a product or device comprising a series of components does not necessarily have to be limited to all the components clearly listed, but may include other components not clearly listed or inherent to these products or devices.

[0080] The term "module" refers to any known or later-developed hardware, software, firmware, artificial intelligence, fuzzy logic, or a combination of hardware and / or software code that can perform functions related to that element.

[0081] In the embodiments of the present application, the display device 200 generally refers to a device with the ability to display images and process data. For example, the display device 200 includes, but is not limited to, smart TVs, mobile terminals, computers, monitors, advertising screens, wearable devices, virtual reality devices, augmented reality devices, etc.

[0082] Figure 1 It is a schematic diagram of the operation scenario between the display device and the control device provided in some embodiments of the present application. As Figure 1 shown, the user can operate the display device 200 through touch operations, the mobile terminal 300, and the control device 100. Among them, the control device 100 is used to receive the operation instructions input by the user and convert the operation instructions into control instructions that the display device 200 can recognize and respond to. For example, the control device 100 can be a remote control, a stylus, a handle, etc.

[0083] The mobile terminal 300 can be used as a control device to perform human-computer interaction between the user and the display device 200. The mobile terminal 300 can also be used as a communication device to establish a communication connection with the display device 200 for data interaction. In some embodiments, software applications can be installed on the mobile terminal 300 and the display device 200, and connection communication can be achieved through network communication protocols to achieve the purpose of one-to-one control operations and data communication. It is also possible to transmit the audio and video content displayed on the mobile terminal 300 to the display device 200 to achieve the synchronous display function.

[0084] In some embodiments, the mobile terminal 300 or other electronic devices can also simulate the functions of the control device 100 by running application programs that control the display device 200.

[0085] As Figure 1 also shown, the display device 200 also communicates with the server 400 for data communication through various communication methods. The display device 200 is allowed to communicate and connect through a local area network (LAN), a wireless local area network (WLAN), and other networks.

[0086] The display device 200 can provide a broadcast reception TV function, and can also additionally provide a smart network TV function with computer support functions, including but not limited to, network TV, smart TV, Internet Protocol TV (IPTV), etc.

[0087] Figure 2 For some embodiments of the present application Figure 1 The hardware configuration block diagram of the display device 200 in

[0088] In some embodiments, the display device 200 may include at least one of a tuner-demodulator 210, a communication device 220, a detector 230, a device interface 240, a controller 250, a display 260, an audio output device 270, a memory, a power supply, and a user input interface.

[0089] In some embodiments, the detector 230 is used to collect signals of the external environment or for external interaction. For example, the detector 230 includes a light receiver, a sensor for collecting the ambient light intensity; alternatively, the detector 230 includes an image collector, such as a camera, which can be used to collect external environmental scenes, user attributes, or user interaction gestures. Or, the detector 230 includes a sound collector, such as a microphone, etc., for receiving external sounds.

[0090] In some embodiments, the display 260 includes a display function component for presenting a picture and a driving component for driving image display. The display 260 is used to receive an image signal output from the controller 250 for display. For example, the display 260 can be used to display video content, image content, components of a menu manipulation interface, and a user manipulation UI interface, etc.

[0091] In some embodiments, the communication device 220 is a component for communicating with external devices or a server 400 according to various communication protocol types. The display device 200 may be provided with a plurality of communication devices 220 according to different supported communication methods. For example, when the display device 200 supports wireless network communication, the display device 200 may be provided with a communication device 220 including a WiFi function. When the display device 200 supports Bluetooth connection communication, the display device 200 needs to be provided with a communication device 220 including a Bluetooth function.

[0092] The communication device 220 can enable the display device 200 to communicate with external devices or the server 400 in a wired or wireless connection manner. Among them, the wired connection can connect the display device 200 with an external device through components such as a data cable and an interface. The wireless connection can connect the display device 200 with an external device through a wireless signal or a wireless network. The display device 200 can directly establish a connection relationship with an external device or indirectly establish a connection relationship through a gateway, a router, a connection device, etc.

[0093] In some embodiments, the controller 250 may include at least one of a central processing unit, a video processor, an audio processor, a graphics processor, and a power processor, and first to n interfaces for input / output. The controller 250 controls the operation of the display device and responds to user operations through various software control programs stored in the memory. The controller 250 controls the overall operation of the display device 200.

[0094] In some embodiments, the controller 250 and the tuner demodulator 210 may be located in different separate devices, that is, the tuner demodulator 210 may also be in an external device of the main device where the controller 250 is located, such as an external set-top box, etc.

[0095] In some embodiments, the user may input a user command in the graphical user interface (GUI) displayed on the display 260, and then the user input interface receives the user input command through the graphical user interface (GUI).

[0096] In some embodiments, the audio output device 270 may be the built-in speaker of the display device 200, or may be an external audio output device connected to the display device 200. Among them, for the external audio output device connected to the display device 200, the display device 200 may also be provided with an external audio output terminal, and the audio output device may be connected to the display device 200 through the external audio output terminal to output the sound of the display device 200.

[0097] In some embodiments, the user input interface 280 can be used to receive instructions from the user input.

[0098] In order to perform user interaction, in some embodiments, the display device 200 may run an operating system. The operating system is a computer program for managing and controlling the hardware resources and software resources in the display device 200. The operating system can control the display device to provide a user interface. For example, the operating system can directly control the display device to provide a user interface, or can provide a user interface by running an application program. The operating system also allows the user to interact with the display device 200.

[0099] It should be noted that the operating system may be a native operating system based on a specific operating platform, or a third-party operating system deeply customized based on a specific operating platform, or an independent operating system developed specifically for the display device.

[0100] The operating system can be divided into different modules or levels according to the functions implemented. For example, as Figure 3 shown, in some embodiments, the system is divided into four layers, from top to bottom are the application layer (abbreviation "application layer"), the application framework layer (abbreviation "framework layer"), the system library layer, and the kernel layer.

[0101] In some embodiments, the application layer is used to provide services and interfaces for applications, so that the display device 200 can run applications and interact with users based on the applications. At least one application can run in the application layer. These applications can be window programs, system setting programs, clock programs, etc. that come with the operating system; or they can be applications developed by third-party developers. In specific implementations, the application packages in the application layer are not limited to the above examples.

[0102] The framework layer provides application programming interfaces (APIs) and programming frameworks for applications. The application framework layer includes some predefined functions. The application framework layer is equivalent to a processing center that determines the actions of the applications in the application layer. Applications can access the resources in the system and obtain system services during execution through the API interfaces.

[0103] As Figure 3 shown, Figure 3 FIG. is a schematic diagram of the software configuration of the display device provided by some embodiments of the present application. In some embodiments, the system of the display device 200 can be divided into three layers, from top to bottom are the application layer, the middleware layer, and the hardware layer.

[0104] The application layer mainly includes applications on the TV and an application framework. Among them, the applications are mainly applications developed based on the browser, such as HTML5 APPs; and native applications (Native APPs);

[0105] The application framework is a complete program model that has all the basic functions required by standard application software, such as file access, data exchange, etc., and the usage interfaces (toolbars, status bars, menus, dialog boxes) of these functions.

[0106] Native applications (Native APPs) can support online or offline, message push, or local resource access.

[0107] The middleware layer includes various middleware such as TV protocols, multimedia protocols, and system components. The middleware can use the basic services (functions) provided by the system software to connect various parts of the application system on the network or different applications, and can achieve the purpose of resource sharing and function sharing.

[0108] The hardware layer mainly includes the HAL interface, hardware, and drivers. Among them, the HAL interface is the unified interface for all TV chips to connect, and the specific logic is implemented by each chip. The drivers mainly include: audio driver, display driver, Bluetooth driver, camera driver, WIFI driver, USB driver, HDMI driver, sensor drivers (such as fingerprint sensors, temperature sensors, pressure sensors, etc.), and power supply driver, etc.

[0109] It should be noted that the above examples are only simple divisions of the operating system functions, and do not limit the specific operating system form of the display device 200 in the embodiments of the present application. According to factors such as the functions of the display device and the type of operating system, the number of levels and the specific level types included in the operating system can be in other forms.

[0110] In some embodiments, the display device 200 can integrate a voice assistant function. The voice assistant function enables the display device 200 to respond to user instructions through voice interaction. The user controls various operations of the display device 200 through voice instructions. For example, the user controls the display device 200 to start an application, adjust settings, or perform other various functions through voice instructions. In addition, the user can also use voice instructions to query various information, such as weather forecasts, news, or traffic conditions, etc.

[0111] The voice assistant function of the display device 200 also allows the user to call specific functions, such as playing media content. Among them, the media content can include various media types of content such as music, video, or radio. The display device 200 can also set reminders, alarms, or schedules in response to voice instructions input by the user, so that the display device 200 can remind the user at a specific time, reducing the manual operation between the user and the display device 200, and improving the convenience of the user operating the display device 200.

[0112] The voice assistant function can also be applied in the field of education, enabling the display device 200 to retrieve learning resources by responding to voice instructions, such as question banks, exercise solutions, or knowledge point explanations, etc. The display device 200 can understand the subject keywords input by the user through the voice assistant function, such as "mathematics", "physics", etc., or the question types, such as "trigonometric function exercises", "political exercises", etc., and retrieve relevant exercises from the learning resource library in the cloud or local database. After the retrieval is completed, these exercises will be pushed to the display device for students to study and practice, so as to simplify the process of retrieving learning resources and improve the learning efficiency of the user.

[0113] However, the voice assistant distributes learning content evenly across multiple disciplines and cannot dynamically adjust the proportion of learning content for different disciplines based on the user's multi-subject performance information. For example, if the user has a lower math score and a higher physics score, and the voice assistant pushes exercises according to the principle of evenly distributing exercises for different subjects, there is no targeted increase in learning content for the user's relatively weak math subject. For the physics subject that the user has a relatively good grasp of, even if a large amount of learning resources are allocated, there will be no significant improvement. Therefore, since the voice assistant function cannot dynamically adjust the recommended proportion of learning content based on the user's performance information, it will result in the inability to preferentially allocate more learning resources to weak disciplines.

[0114] Based on the above problems, some embodiments of the present application provide a display device 200, including a display 260 configured to display a user interface, a memory configured to store a retrieval model for retrieving learning content from a learning resource library, and a controller 250 configured to execute a learning content retrieval method. Figure 4 It is a flowchart of the display device provided by the embodiments of the present application for performing learning content retrieval. Figure 5 It is a timing diagram of the display device provided by the embodiments of the present application for performing learning content retrieval. Refer to Figure 4 and Figure 5 The method includes the following:

[0115] S100: In response to a voice command for retrieving learning content, obtain first performance information and learning type information input by the user, including at least two learning subjects.

[0116] The display device 200 can receive a voice command input by the user and perform semantic parsing on the voice data corresponding to the voice command, so as to parse out the first performance information and learning type information from the voice command. Figure 6 It is a flowchart of the display device provided by the embodiments of the present application for performing voice command parsing. As Figure 6 shown, the user can input first performance information for at least two learning subjects. For example, "math score is 90 points, English score is 120 points." After receiving the voice command, the display device 200 can perform semantic parsing on the voice command to obtain the learning subjects for which the user wants to retrieve learning content, and further parse the performance information corresponding to the learning subjects, that is, the obtained first performance information is "learning subject 1 - math, score 90 points, learning subject 2 - English, score 120 points."

[0117] It should be noted that the user can input for all learning subjects or some learning subjects. This embodiment only takes some learning subjects as an example for illustration. The user can also input all the first performance information of all learning subjects into the display device 200. This embodiment does not make specific restrictions on the number of learning subjects.

[0118] In some embodiments, the display device 200 can also classify basic subjects and optional subjects. For example, the optional subjects can include liberal arts subjects and science subjects, etc. The display device 200 can combine the basic subjects with liberal arts subjects and science subjects to generate corresponding subject set options. For example, the first subject set option includes basic subjects and liberal arts subjects, and the second subject set option includes basic subjects and science subjects. The display device 200 can provide the subject set options to the user to simplify the process of the user selecting subjects.

[0119] The learning type information is the type of learning content that the user wants the display device 200 to output corresponding to the learning subject, and can include video courses, exercise sets, knowledge point summaries, or textbook content, etc. The user can select the corresponding learning type information according to their own needs and input it into the display device 200 through a voice command. The display device 200 can query the learning content of the corresponding learning subject according to the learning type information input by the user. As Figure 6 shown, the content input by the user includes "retrieve exercise set", and the display device 200 can perform semantic parsing on the content corresponding to "retrieve exercise set" to obtain the learning type information as "exercise set".

[0120] S200: Calculate the score ratio according to the first score information of the learning subject and the full score of the learning subject.

[0121] After obtaining the first score information, the display device 200 can calculate the score ratio of the user for the learning subject, so as to determine the user's learning ability and knowledge mastery of the learning subject.

[0122] In some embodiments, for different grades, the full score of the learning subject may also be different. For example, for users in grade A, the full score of the learning subject is 100 points, and for users in grade B, the full score of the learning subject is 150 points. For this reason, the display device 200 can display grade inquiry information on the user interface to prompt the user to input target grade information according to the grade inquiry information, so as to determine the full score of the learning subject according to the target grade information feedback by the user.

[0123] As Figure 7 shown, the display device 200 can obtain the full score of the learning subject. Taking the full scores of learning subject 1 - mathematics and learning subject 2 - English as 150 points as an example, the score ratio of learning subject 1 is 90 / 150 = 60%, and the score ratio of learning subject 2 is 120 / 150 = 80%.

[0124] S300: Calculate the learning content recommendation ratio according to the score ratio of the learning subject, and the learning content recommendation ratio is in an inverse proportional relationship with the score ratio.

[0125] From the score ratio, it can be seen that the user's knowledge mastery of learning subject 2 - English is better than that of learning subject 1 - Mathematics, indicating that the user's relatively weak learning subject is Mathematics, and the relatively good learning subject is English. Therefore, when the display device 200 performs learning content retrieval, the learning content of the English subject can be relatively reduced, and the learning content of the Mathematics subject can be appropriately increased to improve the user's practice of the weak subject.

[0126] To this end, the display device 200 can calculate the learning content recommendation ratio according to the score ratio of each learning subject. Among them, the learning content recommendation ratio is inversely proportional to the score ratio, that is, the lower the score ratio, the worse the user's knowledge mastery of the learning subject, so it is necessary to increase the data volume of the learning content for this learning subject. The higher the score ratio, the better the user's knowledge mastery of the learning subject, so the data volume of the learning content for this learning subject can be appropriately reduced to increase the user's practice of other learning subjects and improve the rationality of learning resource allocation.

[0127] In some embodiments, continue to refer to Figure 7 , the display device 200 calculates the learning content recommendation ratio according to the score ratio of each learning subject. The display device 200 can calculate the learning content recommendation ratio through the score ratio of 60% of learning subject 1 and the score ratio of 80% of learning subject 2, that is, the ratio of the score ratio of learning subject 1 to the score ratio of learning subject 2 is 4:3.

[0128] S400: Obtain the target learning content corresponding to the learning type information output by the retrieval model according to the learning content recommendation ratio.

[0129] The display device 200 can call the retrieval model from the memory to retrieve the target learning content corresponding to the learning type information in the learning resource library according to the learning content recommendation ratio by the retrieval model. Among them, the learning resource library can be deployed in a local database or in a cloud database. When the learning resource library is deployed in the cloud database, the display device 200 needs to communicate with the cloud server to retrieve the learning content in the learning resource library in the cloud database. To this end, as Figure 8 shown, the display device 200 may further include a communication device 220, and the communication device 220 is configured to establish a communication connection with the server 400 for communication retrieval.

[0130] In some embodiments, the display device 200 may also calculate the amount of learning data to be retrieved for each learning subject according to the learning content recommendation ratio, so as to retrieve the learning content according to the amount of learning data. The display device 200 may obtain the total amount of learning data input by the user, and the total amount of learning data is the sum of the learning data amounts of the learning contents of each learning subject. The display device 200 may calculate the learning data amount corresponding to each learning subject in combination with the learning content recommendation ratio.

[0131] For the convenience of calculation and explanation, as Figure 9 shown, in this application, taking the learning information type as exercises and the total amount of data as 35 as an example for illustrative purposes. The display device 200 may calculate the learning data amount of learning subject 1 as 20 and the learning data amount of learning subject 2 as 15 according to the learning content recommendation ratio of 4:3. That is, for learning subject 1 with a relatively low score ratio, the display device 200 may retrieve 20 exercises of learning subject 1, and for learning subject 2 with a relatively high score ratio, the display device 200 may retrieve 15 exercises of learning subject 2.

[0132] After calculating the learning data amount of each learning subject, the display device 200 may execute a corresponding retrieval process in the learning resource library according to the learning data amount through the retrieval model. For the convenience of improving the retrieval efficiency, the learning resource library in this embodiment may classify the learning content for different learning subjects. For example, classify the learning content of learning subject 1 to obtain the first learning content set, and classify the learning content of learning subject 2 to obtain the second learning content set. During the process of the display device 200 executing the retrieval through the retrieval model, it may find the corresponding learning content set in the learning resource library according to the name of the learning subject, so as to quickly narrow the retrieval scope for the learning subject and improve the learning efficiency.

[0133] In some embodiments, the display device 200 may also input all the learning subjects of the learning content to be retrieved into the learning resource library at the same time to execute a multi-line parallel retrieval process. For example, input learning subject 1 and learning subject 2 into the learning resource library at the same time, so as to execute the learning content retrieval according to the learning data amount of 20 of learning subject 1 in the first learning content set through the retrieval model to obtain the target learning content of learning subject 1 output by the retrieval model. At the same time, execute the learning content retrieval according to the learning data amount of 15 of learning subject 2 in the second learning content set through the retrieval model to obtain the target learning content of learning subject 2 output by the retrieval model, thereby reducing the retrieval time.

[0134] S500: Display the target learning content on the user interface.

[0135] After obtaining the target learning content, the display device 200 can generate a learning screen according to the target learning content and display the learning screen in the user interface. For example, Figure 10 As shown, the learning screen may include a learning area and a note area. For example, the learning area may display the retrieved target learning content for the user to view, and the user can fill in the answer information in the note area.

[0136] The learning screen can be divided into different areas according to different types of learning information. For example, when the target learning content is a video course, the learning area can display the corresponding picture of the video course, and the answer area can be used for the user to record notes according to the learning content of the video course.

[0137] As can be seen from the above technical solutions, the display device 200 provided in this application obtains the first score information and learning type information input by the user by responding to a voice command, calculates the score ratio according to the first score information and the full score, and thus adjusts the learning content recommendation ratio according to the score ratio, reducing the learning content of the learning subject with a relatively high score ratio and increasing the learning content of the learning subject with a relatively low score ratio. By dynamically adjusting the learning content and practicing the learning of weak subjects, the utilization rate of learning resources is improved.

[0138] In some embodiments, the display device 200 can also obtain the learning planning period input by the user, so as to provide the target learning content to the user during the convenient period of the user. The learning planning period can be input according to different time units. For example, it can be in units of 30 minutes or 1 hour, etc. The learning planning period can be a long period, such as 9:00 - 12:00 on Wednesday morning, or multiple long periods, such as 9:00 - 12:00 on Wednesday morning and 15:00 - 17:00 on Wednesday afternoon. It can also be multiple short periods, such as 9:00 - 10:00 on Wednesday morning, 13:00 - 14:00, and 16:00 - 17:00 on Wednesday afternoon, etc., so as to facilitate the user to flexibly adjust the learning time.

[0139] The display device 200 can divide the learning planning period into multiple subject learning periods according to the learning content recommendation ratio for each learning subject, and each subject learning period corresponds to the target learning content of a learning subject. As Figure 11 shown, taking 9:00 - 12:00 in the morning as the learning planning period as an example, when the learning content recommendation ratio is 2:1, the period from 9:00 to 11:00 in the morning can be set as the subject learning period for learning subject 1, and the period from 11:00 to 12:00 in the morning can be set as the subject learning period for learning subject 2. The display device 200 can monitor the current time in real time. When the current time is within the subject learning period, the display device 200 can display the target learning content of the learning subject corresponding to the subject learning period in the user interface.

[0140] In some embodiments, when the display device 200 is within a preset time before the subject learning period at the current time, a prompt message can be displayed on the user interface to prompt the user that the subject learning period is about to start. The display device 200 can respond to a feedback instruction input by the user based on the prompt message. If the feedback instruction is a confirmation instruction, when the current time reaches the subject learning period, the target learning content of the corresponding learning subject is displayed on the user interface. If the feedback instruction is a cancellation instruction, the target learning content of the learning subject corresponding to the subject learning period is postponed to the next subject learning period, and the subsequent subject learning periods are postponed in turn.

[0141] In some embodiments, when the learning subjects corresponding to two adjacent subject learning periods are different, at the end of the current subject learning period, the target learning content corresponding to the current subject learning period is withdrawn from display on the user interface, and the target learning content of the next subject learning period is displayed on the user interface. For example, from 9:00 to 11:00 in the morning is the subject learning period for learning subject 1, and the period from 11:00 to 12:00 in the morning is the subject learning period for learning subject 2. When the current time reaches 11:00, that is, at the end of the subject learning period for learning subject 1, the next subject learning period is for learning subject 2. The display device 200 can withdraw the display of the target learning content of learning subject 1 on the user interface and display the target learning content of learning subject 2 on the user interface to prompt the user that the subject learning period for learning subject 1 has ended and the subject learning period for learning subject 2 is about to start.

[0142] In some embodiments, the display device 200 can obtain the end time point of the subject learning period, and when the difference between the current time and the end time point reaches a preset duration, a prompt mark indicating that the subject learning period is about to end is displayed on the user interface to prompt that the current subject learning period is about to end, so as to facilitate the user to reasonably plan the learning time during the subject learning period and improve the learning efficiency.

[0143] In some embodiments, before the current subject learning period ends, the user may complete the answering of the target learning content in advance, thus ending the subject learning period in advance. Therefore, as Figure 12As shown, the display device 200 can record the user's answering operations in the learning screen during the subject learning period, and record the answering duration and answering progress according to the answering operations. The display device 200 can set a target answering progress. For example, the progress of completing all the target learning content corresponding to the subject learning period is set as the target answering progress. When the user's answering progress is equal to the target answering progress and the answering duration is less than the duration of the subject learning period, it means that the user has completed answering all the target learning content in advance during the subject learning period. At this time, the display device 200 can cancel the display of the target learning content corresponding to the current subject learning period on the user interface to complete the learning of the target learning content and end the subject learning period.

[0144] In some embodiments, when the display device 200 detects that the user's answering progress is equal to the target answering progress, it can also correct the user's answering content according to the answer information corresponding to the target learning content, and mark the correct content and the wrong content in the answering area. After completing the correction, the display device 200 can generate historical wrong question content according to the wrong content, and upload the historical wrong question content to the learning resource library through the communication device 220 and save it as a wrong question set.

[0145] In some embodiments, when the user quickly completes answering all the target learning content but answers all of them wrong, the subject learning period will also end in advance. For this reason, the display device 200 can generate an answering correct rate according to the correction of the answering content. When the answering correct rate is less than the preset correct rate threshold, the display device 200 can retrieve another batch of target learning content different from the current target learning content according to the learning content recommendation ratio and learning type information to prompt the user to continue answering, so as to improve the user's answering correct rate for the target learning content. After the display device 200 retrieves the target learning content again, in order to provide the user with the answering time for the retrieved target learning content, the duration of the subject learning period can be appropriately increased according to the target learning content.

[0146] In some embodiments, the user can actively input an exit instruction for exiting the target learning content to the display device 200, and the display device 200 can respond to the exit instruction and end the current subject learning period in advance. However, since the user has not completed the learning of the target learning content on time, it is necessary to perform compensation for this learning subject by adjusting the learning content recommendation ratio. As Figure 13 shown, the display device 200 can respond to the exit instruction, record the exit time point, and calculate the learning duration according to the exit time point and the start point of the target learning period. The display device 200 can calculate the remaining duration of the subject learning period according to the learning duration, calculate the duration ratio of the remaining duration to the total duration of the subject learning period, and increase the learning content recommendation ratio of the next subject learning period according to the duration ratio to perform learning compensation for this learning subject.

[0147] In some embodiments, when the display device 200 detects that the user ends the current subject learning period in advance, it can also compensate the next subject learning period of the learning subject according to the duration ratio. For example, when the subject learning period is from 9:00 to 11:00 and the total duration is 2 hours, and the user exits the subject learning period at 10:00 after 1 hour of learning. The display device 200 can calculate the user's learning duration as 1 hour based on the exit time point 10:00 and the starting point 9:00 of the subject learning period, and the remaining period is from 10:00 to 11:00 with the remaining duration also being 1 hour. Since the user only learns for 1 hour in the current subject learning period, it is necessary to compensate the next subject learning period of the learning subject. That is, the next subject learning period can be from 8:00 to 11:00, or from 9:00 to 12:00. The display device 200 can also divide the remaining duration into multiple duration segments and evenly distribute them to multiple subject learning periods of the learning subject. For example, divide the remaining duration into 30 minutes and add 30 minutes to the next two subject learning periods of the learning subject respectively.

[0148] In some embodiments, the display device 200 can also obtain second score information input by the user according to the learning subject. The second score information is the score information input after the first score information. The change situation of the learning subject's score can be obtained through the comparison of the first score information and the second score information. As Figure 14 shown, the display device 200 can update the score ratio of the learning subject according to the second score information and the full score of the learning subject. For example, for learning subject 1, the first score information is 90 points and the second score information is 120 points, indicating that the user's score has increased by 30 points in the two exams before and after learning. Since the user's second score information has increased by 30 points compared to the first score information, the corresponding score ratio of the learning subject will also change. The display device 200 can calculate the updated score ratio according to the second score information and the full score, that is, 120 / 150 = 80%. If the second score information of the user's learning subject 2 is the same as the first score information, that is, the score ratio remains unchanged at 80%, at this time, according to the updated score ratio of learning subject 1, the learning content recommendation ratio can be updated, that is, the learning content recommendation ratio between learning subject 1 and learning subject 2 is 1:1. The display device 200 can update the target learning content according to the updated learning content recommendation ratio and the learning type information through the retrieval model. For example, the display device 200 recalculates the amount of learning data to be retrieved for each learning subject according to the updated learning content recommendation ratio. Based on the foregoing example, in this embodiment, taking the total data volume of the target learning content as 35, the display device 200 can calculate the learning data volume of learning subject 1 as 17 and the learning data volume of learning subject 2 as 17 according to the learning content recommendation ratio of 1:1.

[0149] When the total data volume is 35, according to the learning content recommendation ratio of 1:1, the target learning content cannot be completely allocated. Therefore, the display device 200 can also compensate for the allocation of the target learning content of one of the learning subjects according to the total data volume. For example, retrieve the target learning content for learning subject 1 according to a data volume of 18 to consolidate the knowledge of learning subject 1, or retrieve the target learning content for learning subject 2 according to a data volume of 18 to consolidate the knowledge of learning subject 2.

[0150] In some embodiments, when the second performance information of a learning subject is less than the first performance information, the proportion of the target learning content of this learning subject can be increased. For example, for learning subject 2, the first performance information is 120 points and the second performance information is 100 points, indicating that the user's learning subject 2 has dropped by 20 points. The display device 200 can update the score ratio of learning subject 2 according to the second performance information, that is, 100 / 150 = 66.6%. At this time, the updated learning content recommendation ratio of learning subject 1 and learning subject 2 is 66.6%:80%.

[0151] In some embodiments, when the display device 200 updates the learning content recommendation ratio according to the second performance information, it can also dynamically adjust the subject learning time periods of different learning subjects according to the updated learning content recommendation ratio to adjust the learning time of different learning subjects according to the user's performance fluctuations.

[0152] In the above scenario, when the user inputs the second performance information to the display device 200 during the subject learning time period, if the learning subject in the second performance information is the same as the learning subject corresponding to the current subject learning time period and the learning content recommendation ratio changes, then when the display device 200 dynamically adjusts the subject learning time period, it will affect the duration of the user in the current subject learning time period. For example, when the subject learning time period is shortened from 1 hour to 30 minutes according to the learning content recommendation ratio, but the user is in the learning of the current subject learning time period. At this time, if the duration of the subject learning time period is directly adjusted, it will cause the user to end the learning prematurely. Therefore, when the second performance information is received, if the learning subject in the second performance information is the same as the learning subject corresponding to the current subject learning time period and the learning content recommendation ratio changes, the display device 200 does not adjust the current subject learning time period.

[0153] In another embodiment, the display device 200 can also directly adjust the duration of the subject learning time period when the user is in the learning of the current subject learning time period, so as to start learning according to the updated learning plan time period.

[0154] In some embodiments, when the first learning score of a learning subject is a full score, it indicates that the user has a relatively high ability to master the knowledge of the learning subject, and it may not be necessary to execute a learning plan for this learning subject. Instead, a learning plan can be carried out for the relatively weak learning subjects.

[0155] In another embodiment, when the score ratio is relatively high, the display device 200 can also provide the user with target learning content of higher difficulty. To this end, the display device 200 can classify the retrieval scope according to the score ratio. For the convenience of classification, the display device 200 can set a score ratio threshold. When the score ratio of a learning subject is less than the score ratio threshold, it indicates that the user has a relatively low degree of mastery of the knowledge of this learning subject. The first retrieval scope of the learning subject can be determined in the learning resource library according to the initial difficulty of the learning content. The display device 200 can output, through the retrieval model within the first retrieval scope, target content corresponding to the learning type information according to the recommended ratio of the learning content, so as to provide the user with relatively basic target learning content to adapt to the difficulty of the learning subject.

[0156] In some embodiments, the first retrieval scope can also include historical wrong-question content. When the score ratio of a learning subject is less than the score ratio threshold, the display device 200 can retrieve the historical wrong-question content from the learning resource library and generate the first retrieval scope based on the learning content corresponding to the initial difficulty in the learning resource library and the historical wrong-question content. When the display device 200 retrieves the target learning content within the first retrieval scope, it can simultaneously retrieve the historical wrong-question content, so as to provide the user with the learning content that the user has answered wrongly, enabling the user to consolidate the wrong-question learning content and improve the user's mastery of the historical wrong-question content.

[0157] When the score ratio of a learning subject is greater than the score ratio threshold, it indicates that the user has a relatively high degree of mastery of the knowledge of this learning subject. The second retrieval scope of the learning subject can be determined in the learning resource library according to the target difficulty of the learning content. Among them, the target difficulty can include multiple difficulty levels. The display device 200 can set the target difficulty in response to a difficulty setting instruction input by the user. Since the user has a relatively high degree of mastery of the knowledge of this learning subject, the target learning content with the initial difficulty has little effect on the user's learning progress. Therefore, the target difficulty should be higher than the initial difficulty. The display device 200 can output, through the retrieval model within the second retrieval scope, target content corresponding to the learning type information, so as to improve the user's mastery of the high-difficulty learning content.

[0158] In some embodiments, if the score ratio of a learning subject is greater than the score ratio threshold, and all the target learning content recommended to the user is high-difficulty exercises, it may lead to an increase in the user's answering error rate. Therefore, the display device 200 can adjust the ratio of the target learning content with the target difficulty to the target learning content with the initial difficulty in combination with the learning data volume of the learning subject. For example, according to the learning data volume, half of the learning content is set as exercises with the target difficulty, and the other half of the learning content is set as exercises with the initial difficulty, so as to improve the user's mastery ability of exercises with different difficulties by adjusting the difficulty and data volume.

[0159] Some embodiments of the present application also provide a learning content retrieval method, which is applied to the display device 200. To facilitate the execution of the method, the display device 200 should at least include a display 260 configured to display a user interface, a memory configured to store a retrieval model for retrieving learning content in a learning resource library, and a controller 250. The method includes:

[0160] S100: In response to a voice command for retrieving learning content, obtain first score information and learning type information of at least two learning subjects input by the user;

[0161] S200: Calculate a score ratio according to the first score information of the learning subject and the full score of the learning subject;

[0162] S300: Calculate a learning content recommendation ratio according to the score ratio of the learning subject, and the learning content recommendation ratio is inversely proportional to the score ratio;

[0163] S400: Obtain target learning content corresponding to the learning type information output by the retrieval model according to the learning content recommendation ratio;

[0164] S500: Display the target learning content on the user interface.

[0165] As can be seen from the above technical solutions, the present application provides a display device and a learning content retrieval method. By responding to a voice command for retrieving learning content, obtaining first score information and learning type information of at least two learning subjects input by the user, calculating a score ratio according to the first score information and the full score, calculating a learning content recommendation ratio according to the score ratio, obtaining target learning content corresponding to the learning type information output by the retrieval model according to the learning content recommendation ratio, and displaying the target learning content on the user interface. The present application dynamically adjusts the learning content recommendation ratio by calculating the score ratio, makes the data volume of the target learning content correspond to the learning content recommendation ratio, and dynamically adjusts the learning amount according to the user's score information, so as to improve the rationality of the user's learning for different learning subjects.

[0166] In the present specification, for the same or similar parts among the various embodiments, reference may be made to each other, and details thereof will not be repeated here.

[0167] Those skilled in the art can clearly understand that the technologies in the embodiments of the present invention can be implemented by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solutions in the embodiments of the present invention, in essence, or the parts that contribute to the prior art can be embodied in the form of a software product. This computer software product can be stored in a storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods in the various embodiments or some parts of the embodiments of the present invention.

[0168] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the various embodiments of the present application.

[0169] For the sake of convenience of explanation, the above description has been made in conjunction with specific embodiments. However, the above exemplary discussion is not intended to be exhaustive or to limit the embodiments to the specific forms disclosed above. According to the above teachings, various modifications and variations can be obtained. The selection and description of the above embodiments are for the purpose of better explaining the principles and practical applications, so that those skilled in the art can better use the embodiments and various different variations of the embodiments suitable for specific uses.

Claims

1. A display device, characterized in that, Comprising: A display configured to display a user interface; A memory configured to store a retrieval model for retrieving learning content in a learning resource library; A controller configured to: In response to a voice instruction for retrieving learning content, obtain first score information and learning type information input by the user, including at least two learning subjects; Calculate a score ratio based on the first score information of the learning subject and the full score of the learning subject; Calculate a learning content recommendation ratio based on the score ratio of the learning subject, where the learning content recommendation ratio is inversely proportional to the score ratio; Obtain the target learning content corresponding to the learning type information output by the retrieval model according to the learning content recommendation ratio; Display the target learning content on the user interface.

2. The display device according to claim 1, wherein The step of the controller executing to display the target learning content on the user interface is specifically configured to: Obtain a learning plan period input by the user; According to the learning content recommendation ratio, divide the learning plan period into subject learning periods according to the learning subjects; When the current time is within the subject learning period, display the target learning content of the learning subject corresponding to the subject learning period on the user interface.

3. The display device according to claim 2, wherein When the learning subjects corresponding to two adjacent subject learning periods are different, the controller is further configured to: At the end of the current subject learning period, cancel the display of the target learning content corresponding to the current subject learning period on the user interface; Display the target learning content of the next subject learning period on the user interface.

4. The display device according to claim 3, characterized in that, When the current subject learning period has not ended, the step of the controller executing to cancel the display of the target learning content corresponding to the current subject learning period on the user interface is further configured to: Record the answering duration and answering progress according to the user's answering operation on the user interface; When the answering progress is equal to the target answering progress and the answering duration is less than the duration of the subject learning period, cancel the display of the target learning content corresponding to the current subject learning period on the user interface.

5. The display device according to claim 3, characterized in that, The controller is further configured to: In response to an exit instruction input by the user to exit the target learning content, record the exit time point; Calculate the learning duration based on the exit time point and the start time point of the subject learning period; When the learning duration is less than the total duration of the subject learning period, calculate the ratio of the remaining duration to the total duration of the subject learning period; According to the duration ratio, increase the learning content recommendation ratio of the next subject learning period.

6. The display device according to claim 1, wherein The controller is further configured to: Obtain second score information input by the user according to the learning subject, where the second score information is the score information input after the first score information; Update the score ratio according to the second score information and the full score of the learning subject; Update the learning content ratio according to the updated score ratio; Update the target learning content through the retrieval model according to the updated learning content ratio and the learning type information.

7. The display device according to claim 1, characterized in that The controller executes the step of obtaining the target learning content corresponding to the learning type information output by the retrieval model according to the recommended proportion of the learning content, and is specifically configured as follows: Set a score proportion threshold; When the score proportion is less than the score proportion threshold, determine the first retrieval range of the learning subject in the learning resource library according to the initial difficulty of the learning content; Through the retrieval model within the first retrieval range, output the target learning content corresponding to the learning type information according to the recommended proportion of the learning content.

8. The display device according to claim 7, wherein When the score proportion is greater than or equal to the score proportion threshold, the controller is further configured as follows: Determine the second retrieval range of the learning subject in the learning resource library according to the target difficulty of the learning content, and the target difficulty is higher than the initial difficulty; Through the retrieval model within the second retrieval range, output the target learning content corresponding to the learning type information according to the recommended proportion of the learning content.

9. The display device according to claim 7, wherein The controller executes the step of determining the first retrieval range of the learning subject in the learning resource library according to the initial difficulty of the learning content, and is further configured as Retrieve the historical wrong question content from the learning resource library; Generate the first retrieval range according to the learning content retrieved according to the initial difficulty and the historical wrong question content.

10. A learning content retrieval method, characterized in that, Applied to a display device, the display device includes a display configured to display a user interface, and a memory configured to store a retrieval model, and the retrieval model is used to retrieve learning content in a learning resource library; the method includes: In response to a voice command for retrieving learning content, obtain first score information and learning type information of at least two learning subjects input by the user; Calculate the score proportion according to the first score information of the learning subject and the full score of the learning subject; Calculate the recommended proportion of the learning content according to the score proportion of the learning subject, and the recommended proportion of the learning content is in an inverse proportional relationship with the score proportion; Obtain the target learning content corresponding to the learning type information output by the retrieval model according to the recommended proportion of the learning content; Display the target learning content on the user interface.

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