An English word auxiliary learning method beneficial to left and right brain intercommunication

Abstract

The application discloses an English word auxiliary learning method beneficial to left and right brain intercommunication, relates to the technical field of English learning, and comprises the following steps: step S1, constructing an image database, generating an image database containing multiple images matched with English word expressions by using a multimodal large model; step S2, matching images with words, filling English words in positions corresponding to pictures; step S3, manual auditing, and deleting inappropriate pictures; step S4, personalized selection, when a user learns an English word for the first time, a group of pictures matched with the English word are displayed to the user; and step S5, review. Compared with a traditional English word learning method, the method has better memory effect and higher school efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of English learning, and more particularly to an English word auxiliary learning method that facilitates communication between the left and right brains. Background Art

[0002] In brain science research, the left brain is more inclined to verbal memory and sequential memory, processing and storing language-related memories such as words, phrases and rules. The right brain is better at image memory and can store non-verbal, visual or spatial information, such as faces, places, musical melodies, etc.

[0003] So when learning English, the existing English learning assistance apps on the market generally push four pictures when learning English words, but only one of the four pictures contains content related to the meaning of the English word. This will cause the user's left brain to need a lot of thinking and memorization when learning, which will cause the left brain to be overused, and ultimately lead to poor connectivity between the user's left and right brains, and low overall learning efficiency.

[0004] Therefore, it is necessary to propose an English word auxiliary learning method that is conducive to the communication between the left and right brains to solve the above problems. Summary of the Invention

[0005] The purpose of the present invention is to solve the problem of poor connectivity between the left and right brains when learning English words.

[0006] In order to achieve the above-mentioned purpose, the present invention specifically adopts the following technical solutions:

[0007] An English word learning method that facilitates communication between the left and right brains includes the following steps:

[0008] Step S1: Build an image database, using a large multimodal model to generate a database containing multiple images that match the English word expressions, where at least three images are generated for each English word;

[0009] Step S2: Matching images and words: Using a large multimodal model, automatically match English words with images in the database and fill in the corresponding positions of the images with English words;

[0010] Step S3: Manual review, delete inappropriate pictures, and retain at least three pictures corresponding to each English word to ensure that the pictures are suitable for viewing;

[0011] Step S4: Personalized selection: When a user first learns an English word, a group of pictures matching the English word is shown to the user, with each group consisting of at least three pictures, for the user to select the one that is easiest for him or her to understand;

[0012] Step S5: Review. In the review phase, one English word corresponds to one picture. The picture is the picture selected by the user in step S4.

[0013] Furthermore, the expression fit mainly includes the following aspects: theme, details, cultural context, emotional color, visual expression, context, cognition, clarity, diversity and image quality.

[0014] Furthermore, the step S1 of generating a large number of images that match the English word expressions includes the following steps:

[0015] Step S11: input an English word, and generate an instruction that matches the expression of the English word through the multimodal large model;

[0016] Step S12: According to the instruction, an image that matches the English word expression is generated through the multimodal large model.

[0017] Furthermore, in step S3, when the number of pictures corresponding to the English word manually reviewed is less than three, steps S1-S3 are repeated to generate an image that fits the expression of the English word again.

[0018] Compared with the prior art, the present invention has the following beneficial effects:

[0019] 1. The present invention, when learning English words for the first time, shows the user at least three pictures that match the word expression, allowing the user to directly associate the word with the picture, thereby abandoning the excessive thinking of the left brain in selecting the correct picture from the original four pictures. Compared with the traditional English word learning method, this method has better memory effect and higher learning efficiency.

[0020] 2. The present invention can fully connect pictures with English words by generating pictures that match the expressions. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A schematic diagram of a framework for embedding the learning method of the present invention into an app;

[0022] Figure 2 A set of pictures that match the mountain bike expression in this invention;

[0023] Figure 3 This is a set of pictures that match the hike expression in this invention. DETAILED DESCRIPTION

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0025] See also Figure 1-Figure 3 , an English word auxiliary learning method that is conducive to the communication between the left and right brains, comprising the following steps:

[0026] Step S1: Build an image database. Use a large multimodal model to generate a database containing multiple images that match the English word expressions. At least three images are generated for each English word to ensure that meaningful connections can be established with most words.

[0027] Step S2: Matching images and words: Using a large multimodal model, automatically match English words with images in the database and fill in the corresponding positions of the images with English words;

[0028] Step S3: Manual review, delete inappropriate pictures, and retain at least three pictures corresponding to each English word to ensure that the pictures are suitable for viewing;

[0029] Step S4: Personalized selection. When a user first learns an English word, a group of pictures matching the word is shown to the user. Each group consists of at least three pictures that are consistent with the theme and context of the word. This means that any picture the user chooses is correct. The main purpose is to allow the user to choose the one that is easiest for them to understand, so that their left and right brains can connect quickly. The process of selecting pictures in the app is completed by a simple click in the user interface;

[0030] Step S5, review. In the review phase, one English word corresponds to one picture. The picture is the picture selected by the user in step S4. The picture is pushed first as a visual prompt for reviewing the English word, allowing the user to associate the English word and help consolidate memory. The word can also be pushed first, and the user's right brain can associate the picture related to the word to let the user recall the meaning of the word.

[0031] In this embodiment, when learning English words for the first time, by showing the user at least three pictures that match the word expression, the user can directly associate the word with the picture, thereby abandoning the excessive thinking of the left brain to choose the correct picture from the original four pictures. Compared with the traditional English word learning method, this method has better memory effect and higher learning efficiency.

[0032] Specifically, the expression fit mainly includes the following aspects: theme, details, cultural context, emotional color, visual expression, context, cognition, clarity, diversity and image quality;

[0033] The subject matter needs to be consistent, i.e. the subject matter of the image should be directly related to the concept or entity represented by the English word, for example, the word "apple" should be accompanied by a picture of an apple, not a picture of a car.

[0034] Accuracy of details: The details in the image should accurately reflect the meaning of the word. For example, the image of "red apple" should show a red apple, not green or other colors.

[0035] Cultural context: Certain words may have symbolic meanings or specific visual representations across cultures. Images should take these cultural differences into account to ensure they remain understandable across different cultural contexts.

[0036] Emotion: If the word has an emotional connotation, the image should also convey a similar emotion. For example, an image of the word “happy” should convey a cheerful vibe.

[0037] Visual expression: Does the image vividly and intuitively demonstrate the meaning of the word? For example, for an abstract concept like "freedom," the image should express this concept through symbolic imagery.

[0038] Contextual Applicability: Words can have different meanings in different contexts. Images should take into account how the words are used in specific contexts to ensure they are appropriate.

[0039] Cognitive Match: The image should match most people’s cognitive and mental representation of the word. For example, when most people think of “cat,” they think of a domestic cat, not a large wild cat.

[0040] Clarity and quality: Images should be clear enough to show visible details and avoid blurriness, which helps convey the meaning of the words accurately.

[0041] Diversity: Images should avoid stereotypes and showcase diversity to ensure learners from different backgrounds can find resonance.

[0042] Specifically, step S1 of generating a large number of images that match the English word expressions includes the following steps:

[0043] Step S11: Input an English word and generate instructions that match the English word expression using a multimodal large model. The instructions must also avoid duplication with copyrighted images to reduce the risk of future infringement. This step is generated using existing large models, such as GPT and Wenxin Yiyan.

[0044] Step S12: According to the instruction, an image that matches the English word expression is generated through the multimodal large model. The multimodal large model in this step uses AIGC to generate the image.

[0045] Specifically, in step S3, when the number of pictures corresponding to the English word manually reviewed is less than three, steps S1-S3 are repeated to generate an image that fits the expression of the English word again.

[0046] The above logic can be embedded in the app and used as a reference when learning English. Figure 1 As shown, when the app pushes words, it can push them according to this framework. By using a large multimodal model, a large number of pictures that fit the expression of English words can be quickly generated. During manual review, inappropriate pictures will be discarded to ensure the quality of the pictures. On the one hand, the impact of pictures on users can be utilized to allow users to directly derive the meaning of the word from the picture. On the other hand, when users encounter the word, they can also quickly associate it with the picture, and then connect the meaning of the word through the picture, thereby achieving the effect of quickly memorizing the word.

[0047] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. The scope of patent protection of the present invention shall be based on the claims. Any equivalent structural changes made using the description and drawings of the present invention should also be included in the scope of protection of the present invention.

Claims

1. An English word learning method that facilitates communication between the left and right brains, characterized in that: The following steps are involved: Step S1: Build an image database, using a large multimodal model to generate a database containing multiple images that match the English word expressions, where at least three images are generated for each English word; Step S2: Matching images and words: Using a large multimodal model, automatically match English words with images in the database and fill in the corresponding positions of the images with English words; Step S3: Manual review, delete inappropriate pictures, and retain at least three pictures corresponding to each English word; Step S4: Personalized selection: When a user first learns an English word, a group of pictures matching the English word is shown to the user, with each group consisting of at least three pictures, for the user to select one; Step S5: Review. In the review phase, one English word corresponds to one picture. The picture is the picture selected by the user in step S4.

2. The English word learning method according to claim 1, which is conducive to the communication between the left and right brains, is characterized by: The expression fit mainly includes the following aspects: theme, details, cultural context, emotional color, visual expression, context, cognition, clarity, diversity and image quality.

3. The English word learning method according to claim 1, which is conducive to the communication between the left and right brains, is characterized by: The step S1 of generating a large number of images that match the English word expressions includes the following steps: Step S11: input an English word, and generate an instruction that matches the expression of the English word through the multimodal large model; Step S12: According to the instruction, an image that matches the English word expression is generated through the multimodal large model.

4. The English word learning method according to claim 1, which is conducive to the communication between the left and right brains, is characterized by: In step S3, when the number of pictures corresponding to the English word manually reviewed is less than three, steps S1-S3 are repeated to generate an image that fits the expression of the English word again.

Images