Electronic equipment control method and device, electronic equipment and storage medium

Abstract

The invention provides a control method of electronic equipment, which is characterized by comprising the following steps of: controlling the electronic equipment to pop up an authorization request interface to a user, and acquiring authorization of the user on portrait acquisition and equipment interconnection; after user authorization is obtained, target vocabularies matched with user learning requirements are screened, and the target vocabularies are added to a preset user vocabulary library of the electronic equipment; when a picture book story knowledge card of the electronic equipment loads target picture book data in a partition manner, calling the updated user vocabulary library, comparing text contents of the target picture book data with vocabularies of the user vocabulary library, and judging whether key vocabularies falling into the user vocabulary library exist or not; and if the key vocabularies exist, when the electronic equipment outputs picture book story fragments containing the key vocabularies, the key vocabularies are highlighted in a display interface of the electronic equipment, so that the electronic equipment adapts to the actual learning condition of a user, and the flexibility and intelligence of the electronic equipment are improved.

Description

Technical Field

[0001] This application relates to the field of artificial intelligence technology, and in particular to a control method, apparatus, electronic device, and storage medium for an electronic device. Background Technology

[0002] As a smart educational device, the picture book learning machine is widely used in children's and teenagers' learning scenarios due to its convenient image recognition and picture book content display functions. Among them, the picture book story knowledge card section is one of the core functional modules of the picture book learning machine. Its main function is to present the picture book content in a card format to help users understand and learn the picture book knowledge.

[0003] However, the content display mechanism of existing picture book story knowledge card sections on learning machines exhibits a fixed characteristic. The presentation method typically only displays the image information of the picture book story, completely omitting any text information. This prevents users from accessing the text content of the picture book through this module, hindering literacy and language learning. Furthermore, some presentation methods simultaneously display the picture book image information and all text information, failing to adequately consider the actual vocabulary levels and personalized learning needs of different users. Summary of the Invention

[0004] In view of this, this application provides a control method for an electronic device, which provides a precise method for displaying text information, adapts to the user's actual learning situation, enhances the flexibility and intelligence of the electronic device, and effectively improves the user's learning effect during the use of the electronic device.

[0005] In a first aspect, this application provides a control method for an electronic device, the method comprising:

[0006] Control the electronic device to display an authorization request interface to the user and obtain the user's authorization for image collection and device interconnection;

[0007] After obtaining user authorization, target words that match the user's learning needs are selected and added to the user's preset vocabulary library on the electronic device to update the user vocabulary library. The target words include Chinese words and English words.

[0008] When the picture book story knowledge card section of the electronic device loads the target picture book data, the updated user vocabulary database is called, and the text content of the target picture book data is compared with the words in the user vocabulary database to determine whether there are any keywords that fall into the user vocabulary database.

[0009] If the keywords exist, then when the electronic device outputs a picture book story segment containing the keywords, the keywords will be highlighted on the display interface of the electronic device.

[0010] Optionally, the step of filtering target words that match the user's learning needs and adding the target words to the user's preset vocabulary database on the electronic device includes:

[0011] Obtain a user profile that includes the user's registered school location and current education level;

[0012] Based on the user profile, the primary and secondary school vocabulary database is queried to obtain the set of Chinese and English vocabulary that should be learned according to the user's school registration region and current education stage;

[0013] The user's learning progress is determined based on the system date of the electronic device, and the first category of vocabulary is selected from the set of Chinese and English vocabulary based on the learning progress;

[0014] Add the first category of words to the preset user vocabulary library of the electronic device.

[0015] Optionally, the step of filtering target words that match the user's learning needs and adding the target words to the user's preset vocabulary database on the electronic device further includes:

[0016] Establish a communication connection with the user-specified learning device;

[0017] Interact with the learning device to obtain the Chinese and English vocabulary learned by the user within a preset historical period as the second category of vocabulary;

[0018] Add the second category of words to the electronic device's preset user vocabulary library.

[0019] Optionally, when the electronic device outputs a picture book story excerpt containing the keywords, highlighting the keywords on the display interface of the electronic device includes:

[0020] The display interface shows images of excerpts from the picture book story, while highlighting the keywords on top of the images.

[0021] Optionally, after highlighting the keywords in the display interface of the electronic device, the method further includes:

[0022] If a user clicks on the keyword, the system will redirect to the knowledge card section corresponding to the language type of the keyword and enter the corresponding knowledge card section interaction process.

[0023] Optionally, comparing the text content of the target picture book data with the vocabulary in the user vocabulary database includes:

[0024] The comparison is performed by combining string matching and semantic association matching. The semantic association matching is used to identify derivative words or synonyms in the text content that have similar meanings to words in the user's vocabulary.

[0025] Optionally, determining the user's learning progress based on the electronic device's system date includes:

[0026] The current teaching week is determined based on the standard teaching plan corresponding to the student registration region and the system date.

[0027] The preset vocabulary range corresponding to the teaching week is used as the basis for judging the learning progress.

[0028] Secondly, this application provides a control device for an electronic device, the control device for the electronic device comprising:

[0029] The authorization acquisition module is used to control electronic devices to display an authorization request interface to the user and obtain the user's authorization for image collection and device interconnection;

[0030] The vocabulary management module is used to filter target words that match the user's learning needs after obtaining user authorization, and add the target words to the user vocabulary library preset by the electronic device to update the user vocabulary library. The target words include Chinese words and English words.

[0031] The content comparison module is used to call the updated user vocabulary database when the picture book story knowledge card partition of the electronic device loads the target picture book data, compare the text content of the target picture book data with the words in the user vocabulary database, and determine whether there are any keywords that fall into the user vocabulary database.

[0032] An interactive display module is used to highlight the keywords in the display interface of the electronic device when the electronic device outputs a picture book story fragment containing the keywords, if the keywords exist.

[0033] Thirdly, this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps in the control method of the electronic device provided in the embodiments of the present invention.

[0034] Fourthly, this application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps in the control method of the electronic device provided in the embodiments of the present invention.

[0035] This application uses user profiles and interconnected device data to filter target vocabulary, constructing a dynamically updated, proprietary vocabulary database. This changes the fixed display mode of picture book text on existing devices, enabling the learning machine to accurately match picture book vocabulary to users' core learning needs and adapt to differences in vocabulary levels among users. The comparison mechanism between the picture book text and the user's vocabulary database accurately locates and highlights key words, avoiding interference from irrelevant information and helping users quickly focus on core learning content during picture book reading. Simultaneously, the highlighted key words are presented synchronously with the picture book images, helping users enhance comprehension and memory. Through the deep integration of picture book reading scenarios and vocabulary learning, the learning machine effectively improves its intelligence and practicality, and significantly enhances its relevance and adaptability to user learning. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0037] Figure 1 This is a schematic diagram of the structure of the learning machine provided in the embodiments of this application;

[0038] Figure 2 This is a schematic diagram of the authorization request interface of the learning machine provided in this application embodiment;

[0039] Figure 3 This is a schematic diagram illustrating the comparison between the target picture book text and the keywords in the user's vocabulary database, provided in an embodiment of this application.

[0040] Figure 4 This is a schematic diagram of the picture book display interface of the learning machine provided in this application embodiment;

[0041] Figure 5 This is a schematic diagram illustrating the user vocabulary database update provided in an embodiment of this application;

[0042] Figure 6 This is a schematic diagram of a user clicking on keywords on the learning machine's picture book interface, provided in an embodiment of this application.

[0043] Figure 7 This is a schematic diagram of the knowledge card function interface of the learning machine provided in this application embodiment;

[0044] Figure 8 This is a schematic flowchart of the control method for the electronic device provided in the embodiments of this application;

[0045] Figure 9This is a schematic flowchart of a control method for an electronic device provided in another embodiment of this application;

[0046] Figure 10 This is a schematic flowchart of a control method for an electronic device provided in another embodiment of this application;

[0047] Figure 11 This is a schematic flowchart of a control method for an electronic device provided in another embodiment of this application;

[0048] Figure 12 This is a schematic diagram of the control device for the electronic device provided in the embodiments of this application;

[0049] Figure 13 This is a schematic diagram of the electronic device provided in the embodiments of this application. Detailed Implementation

[0050] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0051] The terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0052] In this document, references to "embodiment" or "implementation" mean that a particular feature, structure, or characteristic described in connection with an embodiment or implementation may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0053] Please see Figure 1 , Figure 2 , Figure 3 , Figure 4 and Figure 8 , Figure 1 This is a schematic diagram of the structure of the learning machine provided in the embodiments of this application. Figure 2This is a schematic diagram of the authorization request interface of the learning machine provided in this application embodiment. Figure 3 This is a schematic diagram illustrating the comparison between the target picture book text and the keywords in the user's vocabulary database, provided in an embodiment of this application. Figure 4 This is a schematic diagram of the picture book display interface of the learning machine provided in this application embodiment. Figure 8 This is a schematic flowchart of a control method for an electronic device provided in an embodiment of this application. The control method for the electronic device includes the following steps:

[0054] S101. Control the electronic device to display an authorization request interface to the user and obtain the user's authorization for image collection and device interconnection.

[0055] The aforementioned electronic device can be understood as an intelligent terminal integrating data acquisition, interactive control, and knowledge service functions. In this embodiment, the electronic device can be a picture book learning machine 100. The hardware of the picture book learning machine 100 includes at least an interactive module for receiving user operations, a main control module for data processing, and a display module for interface display. The software of the picture book learning machine 100 integrates a user interaction system, a knowledge card management unit, and a data acquisition and analysis engine, and the picture book learning machine 100 has a picture book story knowledge card partitioning function module.

[0056] The aforementioned authorization request interface can be understood as the interactive interface presented to the user by the Learning Machine 100 through its display screen. The interface clearly informs the user of the types of information to be collected, including user profile information, connected device data, and the purpose of the information. The user completes the authorization operation by clicking virtual buttons such as "Agree" and "Authorize." The electronic device will not perform any information collection actions without authorization. Considering that the users of the Learning Machine 100 may be young students, preferably, the authorization request can be simultaneously pushed to the associated parental control terminal. The Learning Machine 100 will only start the collection process after the parent confirms authorization, avoiding privacy risks caused by accidental operation by young users.

[0057] The aforementioned authorization for profile collection and device interconnection can be understood as a dual authorization granted by the user based on a clear understanding of the intended use of the information. Profile collection authorization allows the learning machine 100 to acquire and store profile data such as the user's educational stage and school registration location. Device interconnection authorization allows the learning machine 100 to establish communication connections and exchange data with external devices such as learning machines.

[0058] S102. After obtaining user authorization, target words that match the user's learning needs are selected and added to the user vocabulary library preset by the electronic device to update the user vocabulary library. The target words include Chinese words and English words.

[0059] The aforementioned target vocabulary can be understood as Chinese and English words that are highly adapted to the user's current learning needs. The selection criteria include: vocabulary required by the regional teaching syllabus based on user profiles, and vocabulary recently learned by the user based on data from connected devices. The two types of vocabulary together constitute a target vocabulary set that fits the user's actual abilities.

[0060] The aforementioned user vocabulary database can be understood as a dedicated data storage unit preset by the Learning Machine 100, possessing data addition, update, query, and comparison functions. The updated user vocabulary database contains target vocabulary obtained with user authorization and supports dynamic updates as the user's learning progress changes, ensuring that the vocabulary database always remains synchronized with the user's learning needs.

[0061] S103. When the picture book story knowledge card partition of the electronic device loads the target picture book data, the updated user vocabulary library is called, and the text content of the target picture book data is compared with the vocabulary of the user vocabulary library to determine whether there are any keywords that fall into the user vocabulary library.

[0062] The aforementioned picture book story knowledge card sections correspond to the functional presentation of the picture book story knowledge card module of the learning machine 100. Preferably, the picture book story knowledge card module has the capabilities of picture book data parsing, picture book data generation, content display, and interactive response. It can break down the picture book content into independent knowledge cards according to story segments and present them through a combination of images, text, and voice playback, making it convenient for users to read and learn segment by segment.

[0063] The aforementioned target picture book data includes, but is not limited to, picture book resources generated by the learning machine 100 according to user instructions through an artificial intelligence model, or picture book resources obtained by recognizing images taken by the user, or picture book resources imported through local retrieval or cloud download.

[0064] Optionally, the data format presented in the picture book includes, but is not limited to, at least one of image data, text data, and audio data, wherein image data corresponds to displaying the picture book images, text data corresponds to displaying the picture book text, and audio data corresponds to playing and outputting the picture book text. The image data, text data, and audio data can be correlated with each other to ensure that the image, corresponding text, and corresponding audio text of a certain story segment can be loaded and output synchronously.

[0065] S104. If the keywords exist, when the electronic device outputs a picture book story fragment containing the keywords, the keywords are highlighted in the display interface of the electronic device.

[0066] Optionally, the keywords can be understood as words that fall into the user's vocabulary after the text content of the target picture book data is compared with the user's vocabulary. The criteria for judgment are exact match or core semantic match. The exact match can be understood as the text words being completely consistent with the vocabulary in the vocabulary. The core semantic match can be understood as the text words being derivatives or synonyms of the vocabulary in the vocabulary. For example, "happy" in the vocabulary corresponds to "joyful" in the text.

[0067] Optionally, the highlighting can be understood as the presentation method by which the learning machine 100 enhances the visual recognition of key words through a specific display strategy, including but not limited to using red bold font for Chinese words, using blue highlighted background for English words, adding dotted borders to the outside of words, and flashing prompts for words. The style of the highlighting can be customized through the settings module of the learning machine 100.

[0068] In summary, this implementation method uses user profiles and interconnected device data to filter target vocabulary, constructing a dynamically updated exclusive vocabulary library. This changes the fixed display mode of picture book text on existing devices, enabling the Picture Learning Machine 100 to accurately match picture book vocabulary with users' core learning needs and adapt to differences in vocabulary levels among users. The comparison mechanism between picture book text and the user's vocabulary library can accurately locate and highlight key words, avoiding interference from irrelevant information and helping users quickly focus on core learning content during picture book reading. Simultaneously, the highlighted key words are presented synchronously with the picture book images, helping users strengthen comprehension and memory. Through the deep integration of picture book reading scenarios and vocabulary learning, the Picture Learning Machine 100 effectively improves the flexibility and intelligence of its information display, enhances the targeting and adaptability to user learning, thereby improving user learning outcomes and pathways, and also enhances the interactivity and knowledge content of the picture book knowledge card sections of the Picture Learning Machine 100.

[0069] Please see Figure 5 and Figure 9 , Figure 5 This is a schematic diagram illustrating the user vocabulary database update provided in an embodiment of this application. Figure 9 This is a schematic flowchart of a control method for an electronic device provided in another embodiment of this application. The step of filtering target words that match the user's learning needs and adding the target words to the electronic device's preset user vocabulary database includes:

[0070] S1021. Obtain a user profile that includes the user's registered school district and current education level.

[0071] Optionally, the user profile containing the user's registered school district and current educational stage can be understood as data collected and stored by the Learning Machine 100 after obtaining explicit authorization from the user. Specifically, it is represented by a combination of regional and educational level information, such as fifth grade in Shenzhen, Guangdong, or second grade in Hangzhou, Zhejiang. This user profile requires active confirmation from the user to take effect and can be modified and updated by the user at any time in the Learning Machine 100's settings center to ensure that the data is consistent with the user's actual situation.

[0072] S1022. Based on the user profile, query the primary and secondary school vocabulary database to obtain a set of Chinese and English vocabulary that should be learned according to the user's school registration region and current education stage.

[0073] Optionally, the primary and secondary school vocabulary database can be understood as a structured vocabulary resource database pre-stored locally by the Learning Machine 100 or accessed in real time via the cloud. Its core feature is dual classification by geographical dimension and educational stage dimension. The geographical dimension covers the different teaching version requirements of all provinces, autonomous regions, and municipalities directly under the central government. The vocabulary in the database also includes related information such as Chinese and English definitions, parts of speech, and applicable scenarios, and it will be updated synchronously with the teaching syllabus released by the education departments of the corresponding regions.

[0074] Optionally, the set of Chinese and English vocabulary adapted to the user's registered school region and current educational stage can be understood as a basic vocabulary pool extracted by the Paixueji100 from the primary and secondary school vocabulary database based on a dual dimension of user profile. For example, for a user profile of a second-grade student in Shenzhen, Guangdong, the system will automatically locate the vocabulary of the lower grades of primary school English in Guangdong Province and the vocabulary required for the second grade of primary school Chinese in Guangzhou, and integrate them to form a dedicated basic vocabulary set. This set can exclude high-difficulty words that are beyond the user's current learning scope and words that do not meet local teaching requirements.

[0075] S1023. Determine the user's learning progress based on the system date of the electronic device, and select the first category of vocabulary from the set of Chinese and English vocabulary based on the learning progress.

[0076] Optionally, the system date of the electronic device can be understood as the core temporal basis for determining the user's learning progress. Its specific application logic is to match the progress with the standard semester teaching plan for the user's current educational stage. The standard semester teaching plan is pre-stored in the learning machine 100, containing the number of teaching weeks per semester for each grade level, the core teaching content for each week, and vocabulary learning objectives. For example, if the current system date is September 20th, and the corresponding semester plan for third grade is the fourth week of school, the system can directly match the vocabulary learning scope for that week, using this as a quantitative standard for learning progress.

[0077] Optionally, the first category of vocabulary selected from the English and Chinese vocabulary set based on learning progress can be understood as the core vocabulary that the user should master and consolidate at the current learning stage, and it is also the basic content that constitutes the user's vocabulary database. Its selection rules include progress matching priority and difficulty gradient adaptation. Progress matching priority means that only the required vocabulary within the corresponding teaching weeks is retained. Difficulty gradient adaptation means that within the progress range, high-frequency vocabulary and basic core vocabulary for the exams at this educational stage are prioritized, while overly difficult or obscure extended vocabulary is excluded, ensuring that the first category of vocabulary highly matches the user's learning focus.

[0078] S1024. Add the first type of vocabulary to the preset user vocabulary database of the electronic device.

[0079] In this implementation, precise positioning is achieved based on user profiles, ensuring that vocabulary selection is relevant to the user's regional teaching background and actual grade level. Furthermore, the structured classification of the primary and secondary school vocabulary database provides resource support for accurate extraction, avoiding the blind selection of vocabulary. The combination of system dates and teaching plans enables dynamic progress matching, allowing vocabulary selection to be adjusted in real time as the semester progresses, ensuring that the vocabulary added to the user's vocabulary database is the content the user currently needs to master most. Compared to the undifferentiated and fixed vocabulary display method in existing technologies, this implementation avoids the problem of vocabulary inapplicability due to regional teaching differences through user profiles, and avoids the problem of vocabulary being too advanced or too lagging due to different learning progress through system date matching. Ultimately, the constructed user vocabulary database is personalized and adaptable, laying a solid foundation for the accurate identification and highlighting of key words in subsequent picture book texts, ensuring that the Learning Machine 100 better meets the user's actual learning needs.

[0080] Please see Figure 10 , Figure 10 This is a schematic flowchart of a control method for an electronic device provided in another embodiment of this application. The step of filtering target words that match the user's learning needs and adding the target words to the electronic device's preset user vocabulary database further includes:

[0081] S1025. Establish a communication connection with the learning device specified by the user.

[0082] Optionally, the user-specified learning device can be understood as a terminal device actively selected and confirmed by the user through the interactive interface of the Learning Machine 100 for synchronizing learning data, including but not limited to dedicated learning machines, smart learning tablets, educational mobile phones, and other devices with subject learning recording functions. The specification process requires the user to manually select the target device in the device interconnection module of the Learning Machine 100 to ensure the security and relevance of data interaction.

[0083] Optionally, establishing a communication connection with the learning device can be understood as the learning device 100 establishing a data transmission link with the designated learning device through a preset communication method after obtaining user authorization for interconnection. Supported communication methods include Bluetooth, Wi-Fi Direct, and dedicated educational data transmission protocols. During the connection establishment process, identity verification is performed through device verification codes, Bluetooth pairing codes, etc., to ensure that data is transmitted only through a secure link confirmed by the user, preventing the leakage of learning data.

[0084] S1026. Interact with the learning device to obtain the Chinese and English vocabulary learned by the user within a preset historical period as the second category of vocabulary.

[0085] Optionally, the preset historical time period can be understood as a time range pre-configured in the learning machine 100 or user-defined for filtering recently learned vocabulary. Common configurations include the last 7 days, the last 15 days, the last month, and the last semester. The preset historical time period can be adjusted through the vocabulary synchronization setting module of the learning machine 100. For example, lower-grade users can set a shorter time period to focus on recent key points, while higher-grade users can set a longer time period to cover unit learning content, improving the flexibility of vocabulary filtering.

[0086] Optionally, the Chinese and English vocabulary learned by the user within a preset historical period can be understood as vocabulary recorded in the learning device that the user interacts with during the learning process of Chinese and English subjects, including but not limited to vocabulary from dictation tasks completed by the user, new words marked during text learning, and frequently misspelled words involved in exercise corrections. These words can directly reflect the user's real-time learning trajectory and are the core basis for determining what the user needs to consolidate and apply.

[0087] Optionally, the second category of vocabulary can be understood as a set of words extracted from the learning device that are strongly correlated with the user's recent learning behavior, complementing the first category of vocabulary. The first category of vocabulary ensures the foundational aspects to be learned, while the second category supplements the immediate relevance of what has already been learned, together forming a complete target vocabulary system that combines foundational and immediate learning. For example, a third-grade user's first category of vocabulary might include the vocabulary from Unit 2 of the textbook, while the second category might include the unit's frequently misspelled words that they have practiced on the learning device in the past 7 days, ensuring that the vocabulary database simultaneously covers both the required mastery and the actual areas of weakness.

[0088] S1027. Add the second type of vocabulary to the preset user vocabulary database of the electronic device.

[0089] In this embodiment, a micro-filtering method that obtains actual vocabulary learned within a preset historical period by connecting to a user-specified learning device complements a macro-filtering method based on a regional teaching syllabus. This allows the user's vocabulary database to cover both standardized content to be learned and personalized content that has already been learned and needs to be reinforced. This solves the problem of disconnection from the user's real-time learning status caused by relying solely on syllabus filtering, and extends vocabulary adaptation from standardized requirements to personalized needs. As a result, it better matches the user's actual learning progress and effectively improves the intelligence of the learning machine 100 and the user experience.

[0090] Please refer to it again. Figure 4 The step of highlighting the keywords in the display interface of the electronic device when the electronic device outputs a picture book story excerpt containing the keywords includes:

[0091] The display interface shows images of excerpts from the picture book story, while highlighting the keywords on top of the images.

[0092] Optionally, the display interface of the electronic device can be understood as the core interactive component of the learning machine 100 for outputting picture book content, including but not limited to a touch screen 110, which has high-definition image display and touch response functions.

[0093] Optionally, the images of the picture book story fragments can be understood as visual content corresponding to the currently output text fragments containing keywords. Their sources include native image resources from the target picture book data or adapted images intelligently generated by the learning machine 100 based on the text content and through an artificial intelligence model. The image content is highly matched to the text fragment; for example, if the text fragment is "golden rice fields undulate in the wind," the corresponding image presents a scene of a bountiful rice harvest, providing visual context support for the user's understanding of the meaning of the words.

[0094] Optionally, highlighting keywords on top of the image can be understood as the Learning Machine 100 employing a visual differentiation strategy, overlaying keywords onto the picture book image, which neither obscures the core content of the image nor fails to quickly attract the user's attention. In one possible embodiment, the specific implementation includes, but is not limited to, using "red bold Song typeface" for Chinese keywords and "blue highlighted gradient Arial font" for English keywords. The keyword position is fixed in the center below the image, or intelligently adapted to the blank area of ​​the image to avoid overlapping with figures or core scenery. Furthermore, dynamic effects can be added in some scenarios, such as a fade-in animation when keywords are loaded or a slight flickering prompt when the keyword is displayed.

[0095] In one possible implementation, when a second-grade elementary school user encounters the word "season" in a picture book, the display interface simultaneously presents images of the four seasons and highlights "season." Users can quickly associate the meaning of "season" through the images, and then complete the learning by combining the display of the word itself, thus achieving simultaneous understanding of context and memorization of vocabulary.

[0096] In this embodiment, the picture book images provide a contextual carrier for keywords, allowing users to intuitively understand word meanings and enhancing memory. Furthermore, the visually differentiated highlighting method ensures that keywords are clearly distinguishable against the image background, avoiding the problem of keywords being buried in the traditional mode that simultaneously displays images and full text. The display scheme provided in this embodiment complements the personalized user vocabulary database, highlighting keywords that are tailored to the user's learning needs. The combination of images and vocabulary lowers the user's comprehension threshold and avoids the confusion and burden caused by redundant vocabulary display, thereby enhancing the teaching aid value of the Picture Book Function of the Learning Machine 100 and improving the user experience.

[0097] Please see Figure 6 and Figure 7 , Figure 6 This is a schematic diagram illustrating the user clicking on keywords on the learning machine's picture book interface, as provided in this application embodiment. Figure 7 This is a schematic diagram of the knowledge card function interface of the learning machine provided in this application embodiment. After highlighting the keywords on the display interface of the electronic device, the method further includes:

[0098] If a user clicks on the keyword, the system will redirect to the knowledge card section corresponding to the language type of the keyword and enter the corresponding knowledge card section interaction process.

[0099] Optionally, the click operation on the keyword can be understood as a valid interactive action performed by the user on the highlighted keyword through the touch screen 110 of the learning machine 100. The touch detection module built into the learning machine 100 will determine the validity of the operation, exclude accidental touches and swiping operations, and ensure that subsequent processes are triggered only when the user has a clear intention.

[0100] Optionally, the language type of the keywords can be understood as the classification result determined by the learning machine 100 through vocabulary feature recognition. The specific determination rules include: if the vocabulary contains Chinese characters, pinyin and Chinese punctuation marks, it is determined to be of Chinese type; if the vocabulary contains English letters, English punctuation marks and International Phonetic Alphabet, it is determined to be of English type; for mixed Chinese and English words, such as "APP application", the core semantic carrier of the vocabulary is used as the determination basis. For example, if the above example is determined to be of Chinese type, it will jump to the Chinese character card section.

[0101] Optionally, the knowledge card sections corresponding to language types can be understood as specialized vocabulary learning modules built into the PaiXueJi100, including but not limited to sections for Chinese character knowledge cards, word knowledge cards, example sentence knowledge cards, and idiom knowledge cards. For example, the Chinese character knowledge card section can include core content such as the stroke order, radical structure, pronunciation and tone, word formation and sentence construction, and comparison of similar-looking characters. The word knowledge card section can include specialized information such as phonetic symbols, parts of speech, word roots and affixes, common collocations, scenario example sentences, and synonym differentiation, and the content is consistent with the teaching syllabus of the user's region.

[0102] Optionally, the knowledge card partitioning interaction process can be understood as a standardized learning path after the user enters a specific partition. After startup, the learning machine 100 will first synchronize the core vocabulary information in the form of voice broadcast, and then display the structured knowledge content. The user can also return to the picture book reading interface by using the return button to achieve convenient switching of learning scenarios.

[0103] In one possible embodiment, when a user sees the highlighted word "delicious" in a picture book and clicks on it, the device instantly jumps to the word knowledge card section, simultaneously broadcasts the pronunciation of the English word, and displays the English word "delicious" and its Chinese translation on the screen. This allows the user to achieve an efficient learning mode where they can discover and solve problems while reading, effectively enhancing the intelligence and teaching assistance value of the PaiXueMachine100.

[0104] Preferably, the front of the learning machine 100 is equipped with a dedicated Artificial Intelligence (AI) physical button. This physical button bears an "AI" label and allows for further extension of the learning machine 100's picture book knowledge card section application. In one possible embodiment, the user loads image content through the picture book story knowledge card section of the learning machine 100: "Students under the osmanthus tree on campus," with the text "Autumn has arrived, the osmanthus is so fragrant, a cool breeze blows, and the students greet each other with smiles." The learning machine 100 calls the user's vocabulary database, matches the keyword "osmanthus" through string and semantic association comparison, and highlights "osmanthus" in bold in the blank area below the picture book image according to preset rules. The user focuses on the word "osmanthus" and clicks on the keyword "osmanthus" to enter the application interface for that keyword. At this time, the extended function can be triggered through the "AI" physical button. For example, when a user long-presses the "AI" physical button on the application interface of the keyword, the learning machine 100 can trigger the preset text-to-image model to generate a cartoon image about "osmanthus".

[0105] In another possible embodiment, the user loads English text content, including "Peter is my good friend, we often play on the playground," through the picture book story knowledge card section of the learning machine 100. The learning machine 100 matches the keyword "friend" and highlights it. The user focuses on the word "friend" and clicks on it to enter the application interface for that keyword. At this time, extended functions can be triggered through the "AI" physical button. For example, when the user clicks or briefly presses the "AI" physical button, the voice broadcast module of the learning machine 100 is triggered to read the keyword aloud. When the user long-presses the "AI" physical button, the learning machine 100's preset scenario dialogue generation function is triggered, generating a simple dialogue suitable for the student's educational stage based on the keyword "friend," such as "A: Who is your good friend? B: Peter is my good friend. A: What do you do with Peter? B: We often play games together." The dialogue text is displayed in a left-right split column on the display interface.

[0106] In this embodiment, the "AI" physical button of the learning machine 100 provides a clear interaction entry point in the form of a physical button. Combined with differentiated operation logic for short and long presses, it solves the problems of long function triggering paths and accidental touches by younger users in pure touch interaction. After clicking on a keyword to enter the application interface, users can quickly trigger the target function with a single short or long press without complex touch operations. For example, the voice reading of the English word "friend" and the text-to-image generation of the Chinese word "osmanthus" are particularly suitable for elementary school students with weaker operational abilities, lowering the operational threshold in the learning process and expanding the teaching value of the picture book knowledge card function of the learning machine 100.

[0107] In this embodiment, the validity detection of the click operation can avoid accidental touches interfering with the reading experience and ensure the accuracy of interaction triggering. The accurate determination of the language type provides a clear basis for card navigation, avoiding logical errors caused by mismatches between vocabulary types and sections. Furthermore, the specialized knowledge card sections provide users with systematic learning content, solving the problem of fragmented vocabulary explanations in picture book scenarios, thereby further improving the learning effect and experience of users using the Paixueji 100 device.

[0108] Optionally, the comparison of the text content of the target picture book data with the words in the user vocabulary includes: performing the comparison by combining string matching and semantic association matching, where the semantic association matching is used to identify derivative words or synonyms with similar meanings to the words in the user vocabulary in the text content.

[0109] Optionally, the string matching can be understood as the character-level precise comparison of the target picture book text content and the words in the user vocabulary by the learning machine 100. Its core logic is to verify the consistency of the character sequences of the two word by word or letter by letter. For example, if "高兴" is stored in the user vocabulary, the word "高兴" in the picture book text will be directly matched and recognized. If "happy" is stored, the exactly same "happy" in the text will be accurately captured. This matching method has the characteristics of fast response speed and high accuracy, and is the basic guarantee for vocabulary recognition.

[0110] Further optionally, the semantic association matching can be understood as a meaning-level association recognition mechanism supplemented on the basis of string matching. Its core is to capture words in the picture book text that have similar meanings to the words in the user vocabulary but different characters. Its implementation depends on the semantic association database built into the learning machine 100. The semantic association database pre-stores the corresponding relationships of synonyms and derivative words of Chinese and English words, such as the association between "高兴" and "开心", and the association between "run" and "running", etc., and will be dynamically updated according to language usage habits and teaching requirements.

[0111] Optionally, the derivative word can be understood as a word formed by extending the core word in the user vocabulary through word formation methods. In the Chinese scenario, it includes adding prefixes or suffixes to the word root. In the English scenario, it includes verb tense changes, singular and plural nouns, and comparative adjectives, etc. These words are closely semantically associated with the core word and are content that needs to be mastered synchronously during the user's learning process.

[0112] Optionally, the synonym can be understood as a word that has the same or similar meaning as the word in the user vocabulary but different expression forms. In the Chinese scenario, such as "美丽" and "漂亮", "迅速" and "快捷". In the English scenario, such as "look" and "see". These words appear frequently in picture books. If only string matching is used, they will be missed, resulting in users missing the opportunity to consolidate.

[0113] In a possible embodiment, for example, when the user has just learned "太阳 (sun)" and encounters "阳光 (sunshine)" in the picture book, the system can identify and highlight these words through semantic association matching, helping the user understand the derivative usage of the words in the context, effectively improving the user's learning effect, and fully reflecting the intelligence and teaching pertinence of the learning machine 100.

[0114] In this implementation, string matching ensures accurate and complete identification of core vocabulary in the user's vocabulary, avoiding potential misjudgments due to semantic matching. Furthermore, semantic association matching serves as a supplementary layer, extending the identification of derived words and synonyms. It simultaneously captures core words with identical characters and synonyms and derived words with similar meanings, resolving the issue of missed identification of synonyms with different forms or derivative variations in single matching. This helps users understand the diverse expressions of vocabulary within the context of picture books. By simultaneously highlighting and identifying the core words and related vocabulary that users need to master, the picture book learning scenario not only covers basic words but also extends to related extended words, helping users build a complete vocabulary network and enhancing the depth and professionalism of the PaiXueShi100 assisted teaching.

[0115] Please see Figure 11 , Figure 11 This is a schematic flowchart of a control method for an electronic device provided in another embodiment of this application. The step of determining the user's learning progress based on the system date of the electronic device includes:

[0116] S102a. Determine the current teaching week based on the standard teaching plan corresponding to the student registration region and the system date.

[0117] Optionally, the standard teaching plan corresponding to the school registration area can be understood as an official teaching guidance document issued by the local education administration department, which is pre-stored by the learning machine 100 or synchronized in real time via the cloud, and is structured and categorized by educational stage, subject, and semester. For example, the "Teaching Plan for Grade 2 Chinese Language (Ministry-compiled Edition) in Shenzhen, Guangdong" clearly includes the start date of the semester, the total number of teaching weeks, the core teaching themes of each teaching week, and the corresponding vocabulary learning objectives, and will also indicate the progress adjustment rules for special periods such as statutory holidays and mid-term and final exam reviews.

[0118] Optionally, the system date can be understood as the current precise date recorded by the built-in clock module of the learning machine 100, providing a timing reference for calculating teaching weeks. The learning machine 100 will periodically calibrate the system date through network time synchronization to avoid deviations in progress judgment caused by clock errors and ensure the accuracy of date data.

[0119] In one possible embodiment, determining the current teaching week based on the standard teaching plan and the system date includes the following steps: extracting the semester start date from the standard teaching plan; calculating the difference in natural days between the system date and the start date; converting the week into a 7-day week, and combining this with the rule that the first day of school is the start of week 1, determining that the current week is week 3; and applying the special time period rules in the teaching plan, if the period includes the Mid-Autumn Festival holiday, then deducting the holiday days and correcting it to week 2 during the week calculation, ensuring that the week number perfectly matches the actual teaching progress.

[0120] S102b: The preset vocabulary range corresponding to the teaching week is used as the basis for judging the learning progress.

[0121] Optionally, the preset vocabulary range corresponding to the teaching week can be understood as the core vocabulary set of the subject teaching within that week, extracted from the standard teaching plan. For example, the theme of the third teaching week of the second grade in Shenzhen primary school is "Autumn Scenery" in Chinese, and the corresponding preset vocabulary range includes "autumn, golden yellow, rice paddies, harvest," etc.; the theme of English is "Initial Understanding of Seasons," and the corresponding preset vocabulary range includes "autumn, yellow, leaf," etc.

[0122] In this implementation, the official standard teaching plan of the school's registration region is used as the core basis, replacing vague general progress judgments. This ensures that the learning progress is synchronized with the local teaching syllabus and semester schedule, avoiding issues of vocabulary being advanced or lagging behind, and guaranteeing the regional adaptability and teaching compliance of vocabulary selection. Simultaneously, teaching weeks are calculated using the system date and the start date of the semester, transforming the abstract learning progress into specific, quantifiable weekly indicators, which are then mapped to a clearly defined preset vocabulary range. This addresses the problem of a broad vocabulary range and a lack of focus. Furthermore, the system date updates dynamically over time, and the teaching weeks and corresponding vocabulary ranges iterate synchronously, dynamically adapting to the teaching pace and maintaining the timeliness of the user's vocabulary database.

[0123] Please see Figure 12 , Figure 12 This is a schematic diagram of a control device for an electronic device provided in an embodiment of this application. The control device for the electronic device includes:

[0124] The authorization acquisition module 201 is used to control the electronic device to pop up an authorization request interface for the user and obtain the user's authorization for image collection and device interconnection;

[0125] The vocabulary management module 202 is used to filter target words that match the user's learning needs after obtaining user authorization, and add the target words to the user vocabulary library preset by the electronic device to update the user vocabulary library. The target words include Chinese words and English words.

[0126] The content comparison module 203 is used to call the updated user vocabulary database when the picture book story knowledge card partition of the electronic device loads the target picture book data, compare the text content of the target picture book data with the words in the user vocabulary database, and determine whether there are any keywords that fall into the user vocabulary database.

[0127] The interactive display module 204 is used to highlight the keywords in the display interface of the electronic device when the electronic device outputs a picture book story fragment containing the keywords, if the keywords exist.

[0128] Optionally, the vocabulary management module 202 is further configured to: obtain a user profile including the user's school registration region and current education stage; query the primary and secondary school vocabulary database based on the user profile to obtain a set of Chinese and English vocabulary that should be learned according to the user's school registration region and current education stage; determine the user's learning progress according to the system date of the electronic device, and filter out a first category of vocabulary from the set of Chinese and English vocabulary based on the learning progress; and add the first category of vocabulary to the user vocabulary database preset by the electronic device.

[0129] Optionally, the vocabulary management module 202 is further configured to: establish a communication connection with a learning device specified by the user; interact with the learning device to obtain Chinese and English vocabulary learned by the user within a preset historical period as a second category of vocabulary; and add the second category of vocabulary to the user's preset vocabulary database of the electronic device.

[0130] Optionally, when the electronic device outputs a picture book story excerpt containing the keywords, highlighting the keywords on the display interface of the electronic device includes:

[0131] The display interface shows images of excerpts from the picture book story, while highlighting the keywords on top of the images.

[0132] Optionally, the interactive display module 204 is further configured to: if a user clicks on the keyword, jump to the knowledge card section corresponding to the language type of the keyword, and enter the corresponding knowledge card section interaction process.

[0133] Optionally, the content comparison module 203 is further configured to: perform comparison by combining string matching and semantic association matching, wherein the semantic association matching is used to identify derivative words or synonyms in the text content that have similar meanings to words in the user vocabulary database.

[0134] Optionally, the vocabulary management module 202 is further configured to: determine the current teaching week based on the standard teaching plan corresponding to the student registration area and the system date; and use the preset vocabulary range corresponding to the teaching week as the basis for judging the learning progress.

[0135] Please see Figure 13 , Figure 13 This is a schematic diagram of an electronic device provided in an embodiment of this application. The electronic device includes: a memory 302, a processor 301, and a computer program stored in the memory 302 and executable on the processor 301. When the processor 301 executes the computer program, it implements the steps in the control method of the electronic device provided in this embodiment of the invention.

[0136] Specifically, the electronic device can be the learning machine 100 itself, or a server that is communicatively connected to the learning machine 100. When the electronic device is the learning machine 100, its hardware structure also includes peripheral components such as a touch screen, speaker, microphone, physical buttons, and camera, used to realize functions such as interaction, voice acquisition, and image display.

[0137] When processor 301 runs the computer program for the control method of the electronic device stored in memory 302, it specifically performs the following steps:

[0138] Control the electronic device to display an authorization request interface to the user and obtain the user's authorization for image collection and device interconnection;

[0139] After obtaining user authorization, target words that match the user's learning needs are selected and added to the user's preset vocabulary library on the electronic device to update the user vocabulary library. The target words include Chinese words and English words.

[0140] When the picture book story knowledge card section of the electronic device loads the target picture book data, the updated user vocabulary database is called, and the text content of the target picture book data is compared with the words in the user vocabulary database to determine whether there are any keywords that fall into the user vocabulary database.

[0141] If the keywords exist, then when the electronic device outputs a picture book story segment containing the keywords, the keywords will be highlighted on the display interface of the electronic device.

[0142] Optionally, the process executed by processor 301 to filter target words that match the user's learning needs and add the target words to the preset user vocabulary library of the electronic device includes: obtaining a user profile containing the user's school registration region and current education stage; querying a primary and secondary school vocabulary library based on the user profile to obtain a set of Chinese and English words that should be learned according to the user's school registration region and current education stage; determining the user's learning progress according to the system date of the electronic device, and filtering out a first category of words from the set of Chinese and English words based on the learning progress; and adding the first category of words to the preset user vocabulary library of the electronic device.

[0143] Optionally, the process of processor 301 filtering target words that match the user's learning needs and adding the target words to the preset user vocabulary library of the electronic device further includes: establishing a communication connection with the learning device specified by the user; interacting with the learning device to obtain the Chinese and English words learned by the user in a preset historical period as a second type of vocabulary; and adding the second type of vocabulary to the preset user vocabulary library of the electronic device.

[0144] Optionally, when the electronic device outputs a picture book story fragment containing the keyword, the processor 301 performs the step of highlighting the keyword in the display interface of the electronic device, which includes: displaying an image of the picture book story fragment in the display interface, and highlighting the keyword on the basis of the image.

[0145] Optionally, after the keyword is highlighted in the display interface of the electronic device, the method executed by the processor 301 further includes: if a user click operation on the keyword is detected, then according to the language type of the keyword, jump to the knowledge card section corresponding to the language type, and enter the corresponding knowledge card section interaction process.

[0146] Optionally, the process of processor 301 comparing the text content of the target picture book data with the vocabulary of the user vocabulary database includes: performing the comparison using a combination of string matching and semantic association matching, wherein the semantic association matching is used to identify derivative words or synonyms in the text content that have similar meanings to the vocabulary in the user vocabulary database.

[0147] Optionally, the step of determining the user's learning progress based on the system date of the electronic device, executed by the processor 301, includes: determining the current teaching week based on the standard teaching plan corresponding to the student registration region and the system date; and using the preset vocabulary range corresponding to the teaching week as the basis for judging the learning progress.

[0148] Optionally, this application also provides a computer-readable storage medium storing a computer program, which, when executed by processor 301, implements the steps in the control method of the electronic device provided in the embodiments of the present invention.

[0149] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0150] In this application, the terms "embodiment" and "implementation" mean that a specific feature, structure, or characteristic described in connection with an embodiment can be included in at least one embodiment of this application. The appearance of these phrases in various locations throughout the specification does not necessarily refer to the same embodiment, nor are they independent or alternative embodiments mutually exclusive with other embodiments. Those skilled in the art will understand, explicitly and implicitly, that the embodiments described in this application can be combined with other embodiments. Furthermore, it should be understood that the features, structures, or characteristics described in the various embodiments of this application can be arbitrarily combined to form another embodiment that does not depart from the spirit and scope of the technical solution of this application, provided there is no contradiction between them.

[0151] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application and are not intended to limit it. Although this application has been described in detail with reference to the above preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions to the technical solutions of this application should not depart from the spirit and scope of the technical solutions of this application.

Claims

1. A control method for an electronic device, characterized in that, The method includes: Control the electronic device to display an authorization request interface to the user and obtain the user's authorization for image collection and device interconnection; After obtaining user authorization, target words that match the user's learning needs are selected and added to the user's preset vocabulary library on the electronic device to update the user vocabulary library. The target words include Chinese words and English words. When the picture book story knowledge card section of the electronic device loads the target picture book data, the updated user vocabulary database is called, and the text content of the target picture book data is compared with the words in the user vocabulary database to determine whether there are any keywords that fall into the user vocabulary database. If the keywords exist, then when the electronic device outputs a picture book story segment containing the keywords, the keywords will be highlighted on the display interface of the electronic device.

2. The control method for an electronic device as described in claim 1, characterized in that, The process of filtering target words that match the user's learning needs and adding these target words to the electronic device's preset user vocabulary database includes: Obtain a user profile that includes the user's registered school location and current education level; Based on the user profile, the primary and secondary school vocabulary database is queried to obtain the set of Chinese and English vocabulary that should be learned according to the user's school registration region and current education stage; The user's learning progress is determined based on the system date of the electronic device, and the first category of vocabulary is selected from the set of Chinese and English vocabulary based on the learning progress; Add the first category of words to the preset user vocabulary library of the electronic device.

3. The control method for an electronic device as described in claim 1, characterized in that, The process of filtering target words that match the user's learning needs and adding the target words to the preset user vocabulary database of the electronic device also includes: Establish a communication connection with the user-specified learning device; Interact with the learning device to obtain the Chinese and English vocabulary learned by the user within a preset historical period as the second category of vocabulary; Add the second category of words to the electronic device's preset user vocabulary library.

4. The control method for an electronic device as described in claim 1, characterized in that, When the electronic device outputs a picture book story excerpt containing the keywords, highlighting the keywords on the display interface of the electronic device includes: The display interface shows images of excerpts from the picture book story, while highlighting the keywords on top of the images.

5. The control method for an electronic device as described in claim 1, characterized in that, After highlighting the keywords in the display interface of the electronic device, the method further includes: If a user clicks on the keyword, the system will redirect to the knowledge card section corresponding to the language type of the keyword and enter the corresponding knowledge card section interaction process.

6. The control method for an electronic device as described in claim 1, characterized in that, The step of comparing the text content of the target picture book data with the vocabulary in the user vocabulary database includes: The comparison is performed by combining string matching and semantic association matching. The semantic association matching is used to identify derivative words or synonyms in the text content that have similar meanings to words in the user's vocabulary.

7. The control method for an electronic device as described in claim 2, characterized in that, Determining the user's learning progress based on the electronic device's system date includes: The current teaching week is determined based on the standard teaching plan corresponding to the student registration region and the system date. The preset vocabulary range corresponding to the teaching week is used as the basis for judging the learning progress.

8. A control device for an electronic device, characterized in that, The control device for the electronic device includes: The authorization acquisition module is used to control electronic devices to display an authorization request interface to the user and obtain the user's authorization for image collection and device interconnection; The vocabulary management module is used to filter target words that match the user's learning needs after obtaining user authorization, and add the target words to the user vocabulary library preset by the electronic device to update the user vocabulary library. The target words include Chinese words and English words. The content comparison module is used to call the updated user vocabulary database when the picture book story knowledge card partition of the electronic device loads the target picture book data, compare the text content of the target picture book data with the words in the user vocabulary database, and determine whether there are any keywords that fall into the user vocabulary database. An interactive display module is used to highlight the keywords in the display interface of the electronic device when the electronic device outputs a picture book story fragment containing the keywords, if the keywords exist.

9. An electronic device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of the control method for an electronic device as claimed in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the control method for an electronic device as described in any one of claims 1 to 7.

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