English word formation training method and system based on double closed-loop interaction and readable storage medium
Through the dual closed-loop interaction English word formation training method, English words are divided into prefixes, roots and suffixes, and forward and reverse training is performed using building block forms and operation control modules, which solves the problems of insufficient interactivity and feedback delay in traditional English word formation teaching, improves learning interest and word formation ability, and realizes efficient English word formation training.
Patent Information
- Application Number
- CN202510661946.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-22
- Publication Date
- 2025-08-29
AI Technical Summary
The teaching of traditional English word formation method lacks interactivity, does not consider the cognitive characteristics of primary school students, the feedback mechanism is delayed, and the learning effect cannot be verified instantly. In addition, the existing e-learning system morphemes require complete input and feedback, which violates the principle of real-time reinforcement learning, and is difficult to display the relationship between morphemes, and does not solve the problem of difficulty in identifying boundary of word formation elements.
The English word formation training method is adopted with dual closed-loop interaction. By splitting English words into prefixes, roots and suffixes, presenting them in the form of building blocks and conducting forward and reverse closed-loop training through operation and control modules. Combining visual animation and root interpretation panels, tactile recognition of morphemes boundaries and progressive disassembly feedback are achieved.
It significantly improves users' learning interest and participation, and comprehensively improves users' word formation ability through forward and reverse closed-loop training, lowers the learning threshold, and allows beginners to easily master complex word formation rules, improving learning efficiency and effect.
Smart Images
Figure CN120564487A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of English learning and training, and more particularly to an English word formation training method, system and readable storage medium based on double closed-loop interaction. Background Art
[0002] Language is made up of a large number of words, so words are the foundation of language. Most of the energy in learning a foreign language will be spent on learning words. How to learn the most words in the shortest time is the key to improving learning efficiency.
[0003] Traditional word formation teaching adopts a one-way "display-memorize" model, lacks interactivity, and is mainly designed for middle school students. It does not take into account the cognitive characteristics of elementary school students. The feedback mechanism is delayed and learning effects cannot be verified immediately.
[0004] At the same time, the existing morpheme decomposition tools of e-learning systems require complete input before feedback, which violates the principle of immediate reinforcement learning, lacks dynamic visual expression, makes it difficult to display the relationship between morpheme combinations, and does not solve the problem of difficulty in identifying the boundaries of word-forming elements (such as prefix / root overlap).
[0005] Therefore, how to provide an English word formation training method, system and readable storage medium based on double closed-loop interaction is a problem that those skilled in the art urgently need to solve. Summary of the Invention
[0006] In view of this, the present invention provides an English word formation training method, system and readable storage medium based on dual closed-loop interaction, which realizes tactile recognition of morpheme boundaries, establishes a closed-loop verification mechanism for positive and negative cognitive paths and a progressive disassembly feedback mechanism, reduces the cognitive load of learning, and improves the efficiency of English training.
[0007] In order to achieve the above object, the present invention provides the following technical solutions:
[0008] An English word formation training method based on double closed-loop interaction, comprising:
[0009] Split the characters of an English word into a prefix part, a root part, and a suffix part, and store the linear linked list L(n) = {w, p, r, s}, where w represents the foreign word, p represents the prefix, r represents the root part, and s represents the suffix. The characters of each part are presented in the form of building blocks for forward closed-loop training and reverse closed-loop training;
[0010] The forward closed-loop training is achieved by operating the control module to combine the prefix part and trigger the clickable state and explanation panel of the root part;
[0011] By hiding the preset characters of English words and prompting users to assemble the prefix part, users complete the combination of the prefix part by dragging characters. If the combination is successful, the prefix and the remaining characters are combined to form a complete word, realizing reverse closed-loop training.
[0012] Furthermore, the forward closed-loop training is achieved by combining the prefix part by operating the manipulation module and triggering the clickable state and explanation panel of the root part, including:
[0013] S110: According to the course content, sequentially extract the index n=x and obtain the English word L(x).w from the linear linked list L(n)={w,p,r,s}, where w represents the English word, p represents the prefix part, r represents the root part, and s represents the suffix part;
[0014] S120: Generate a temporary linked list M = {c1, c2, c3, c4...} based on the content of L(x).w, where c(n) represents each character of the English word w, and each character c(n) is displayed to the user in the form of a building block;
[0015] S130: Operate the top block of the control module to generate a temporary linked list N = {d1, d2, d3}. When the temporary linked list N is equal to L(x).p, the prefix L(x).p is displayed in a floating layer, and the root L(x).r is in a clickable state.
[0016] S140: Click the root word L(x).r to trigger the root word explanation panel.
[0017] Furthermore, in S130, the process of operating the control module to push the building block includes:
[0018] Use the touch screen or mouse to operate the control module and arrange the building blocks in the order of English words to form a temporary linked list N;
[0019] When the temporary linked list N matches L(x).p, the floating display of the prefix part L(x).p is automatically triggered, and the clickable state of the root word L(x).r is activated.
[0020] Furthermore, in S140, the root explanation panel includes:
[0021] The translation, etymology, meaning and usage of the root word are presented, and visual animations are used to show how the root word is used in different English words.
[0022] Furthermore, the method hides the preset characters of the English word and prompts the user to assemble the prefix part. The user drags the characters to complete the combination of the prefix part. If the combination is successful, the prefix and the remaining characters are combined to form a complete word, thereby realizing reverse closed-loop training, including:
[0023] S210: Sequentially extract the index n=x according to the course content and obtain the foreign language word L(x).w from the linear linked list L(n)={w,p,r,s};
[0024] S220: Generate a temporary linked list M = {c1, c2, c3, c4...} based on the content of L(x).w, where c(n) represents each character of the foreign word w. Each character c(n) appears on the screen in the form of a building block, and the corresponding preset character is hidden according to the course content;
[0025] S230: Generate a temporary linked list N = {d1, d2, d3...} based on the content of the prefix part L(x).p;
[0026] S240: Clicking on the blank prefix area triggers the floating display of the letter platter and highlights d(n), where d(n) represents each character of the prefix p;
[0027] S250: Drag characters d(n) to form a combination. When the combination order is consistent with the temporary linked list N, that is, when the temporary linked list N is equal to L(x).p, the prefix L(x).p is displayed in a floating layer and forms a complete word with other characters in the temporary linked list M.
[0028] Furthermore, in S220, the process of hiding the key characters includes:
[0029] According to the content of L(x).p, the corresponding character c(n) is automatically hidden, and a blank area is displayed on the screen to prompt the characters that need to be filled.
[0030] Furthermore, in S250, the process of dragging the character d(n) to form a combination includes:
[0031] Drag the character d(n) by touching the screen or using the mouse and place it in the blank prefix area to form a combination;
[0032] When the combination order is consistent with the temporary linked list N, that is, when the temporary linked list N is equal to L(x).p, the floating display of the prefix L(x).p is automatically triggered, and a complete word is formed with other characters in the temporary linked list M.
[0033] An English word formation training system based on double closed-loop interaction, comprising:
[0034] Thesaurus module: Splits the characters of English words into prefix, root and suffix parts, and stores them in a linear linked list L(n) = {w, p, r, s}, where w represents the foreign word, p represents the prefix, r represents the root, and s represents the suffix;
[0035] User interface module: used to present the characters of each part in the form of building blocks;
[0036] Forward training module: used to perform forward closed-loop training, including: operating the manipulation module to combine the prefix part, triggering the clickable state of the root part and the explanation panel, thereby achieving the forward closed-loop training;
[0037] Reverse training module: used to perform reverse closed-loop training, including: hiding the preset characters of English words and prompting the user to assemble the prefix part. The user completes the combination of the prefix part by dragging the characters. If the combination is successful, the prefix and the remaining characters are combined to form a complete word to achieve reverse closed-loop training.
[0038] A computer storage medium stores a computer program, which, when executed by a processor, implements the steps of an English word formation training method based on double closed-loop interaction.
[0039] As can be seen from the above technical solutions, compared with the existing technology, the present invention provides an English word formation training method, system and readable storage medium based on dual closed-loop interaction, which can significantly improve the user's learning effect and experience, and is particularly suitable for digital language teaching scenarios in the K-12 stage. The specific beneficial effects are as follows:
[0040] (1) Through interactive designs such as building blocks, control modules, and letter platter, word formation learning is transformed into a gamified experience, significantly improving users’ learning interest and participation. Users can master word formation rules in a more relaxed and interesting way by operating the control module to push blocks or drag the letter platter.
[0041] (2) Through forward closed-loop and reverse closed-loop training, users can not only see the decomposition of words, but also dynamically construct words through interactive operations (such as spelling prefixes and clicking on root words). The visual animation and word meaning explanation in the root explanation panel further deepen the user's understanding and memory of word formation rules.
[0042] (3) Through forward closed-loop training (combining prefixes and activating root explanations) and reverse closed-loop training (hiding key characters and prompting users to combine them), a complementary learning model is implemented. Forward training helps users understand word formation logic, while reverse training strengthens users' memory and application of word formation rules. The combination of the two can comprehensively improve users' word formation ability.
[0043] (4) Through gamified interactive design and step-by-step guidance (such as highlighted prompts on the letter platter), the threshold for learning word formation is lowered, and even beginners can easily get started and gradually master the complex word formation rules. BRIEF DESCRIPTION OF THE DRAWINGS
[0044] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.
[0045] Figure 1 Schematic diagram of the method flow of the present invention;
[0046] Figure 2 A schematic diagram of the vocabulary provided by the present invention and the structure of foreign language words in the vocabulary;
[0047] Figure 3 Schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION
[0048] 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.
[0049] Example 1:
[0050] See also Figure 1 The embodiment of the present invention discloses an English word formation training method based on double closed-loop interaction, comprising:
[0051] Split the characters of an English word into a prefix part, a root part, and a suffix part, and store the linear linked list L(n) = {w, p, r, s}, where w represents the foreign word, p represents the prefix, r represents the root part, and s represents the suffix. The characters of each part are presented in the form of building blocks for forward closed-loop training and reverse closed-loop training;
[0052] The forward closed-loop training is achieved by operating the control module to combine the prefix part and trigger the clickable state and explanation panel of the root part;
[0053] By hiding the preset characters of English words and prompting users to assemble the prefix part, users complete the combination of the prefix part by dragging characters. If the combination is successful, the prefix and the remaining characters are combined to form a complete word, realizing reverse closed-loop training.
[0054] In a specific embodiment, the forward closed-loop training is achieved by operating the manipulation module to combine the prefix part and trigger the clickable state and explanation panel of the root part, including completing the forward closed-loop through an interactive word formation reinforcement training method.
[0055] For details, see Figure 2 The forward closed-loop training includes a vocabulary and foreign words in the vocabulary, including a linear linked list L(n) = {w, p, r, s}, (w represents a foreign word, p represents a prefix, r represents a root, and s represents a suffix)
[0056] The specific steps include:
[0057] S110: sequentially extract the index n=x according to the course, and obtain the foreign language word L(x).w from the linear linked list;
[0058] S120: Generate a temporary linked list M = {c1, c2, c3, c4...} (c(n) represents each character of the foreign word w) based on the content of L(x).w, and display each character c(n) to the user in the form of a building block;
[0059] S130: The user operates the top block of the control module to generate a temporary linked list N = {d1, d2, d3}. If and only if the temporary linked list N is equal to L(x).p, the user's challenge is successful, the prefix L(x).p is displayed in a floating layer, and the root L(x).r is in a clickable state.
[0060] S140: The user clicks on the root word L(x).r, triggering a root word explanation panel including word meaning and visual animation.
[0061] In a specific embodiment, in S140, the root word interpretation panel includes:
[0062] The translation, etymology, meaning and usage of the root word are presented, and visual animations are used to show how the root word is used in different English words.
[0063] In a specific embodiment, the method hides the preset characters of the English word and prompts the user to assemble the prefix part. The user completes the combination of the prefix part by dragging the characters. If the combination is successful, the prefix and the remaining characters are combined to form a complete word, thereby realizing reverse closed-loop training, including completing the reverse closed-loop through another interactive word formation intensive training method.
[0064] For details, see Figure 2 , reverse closed-loop training includes a vocabulary and foreign language words in the vocabulary, including a linear linked list L(n) = {w, p, r, s}, (w represents a foreign language word, p represents a prefix, r represents a root, and s represents a suffix)
[0065] The specific steps include:
[0066] S210: According to the course, sequentially extract the index n=x and obtain the foreign language word L(x).w from the linear linked list. S220: Based on the content of L(x).w, generate a temporary linked list M={c1,c2,c3,c4...} (c(n) represents each character of the foreign language word w). Each character c(n) appears on the screen in the form of a building block, and according to the course design, hide key characters. For example, when assessing prefixes, hide the corresponding character c(n) according to the content of L(x).p.
[0067] S230: Generate a temporary linked list N = {d1, d2, d3...} (d(n) represents each character of the prefix p) based on the content of L(x).p
[0068] S240 The user clicks on the blank prefix area, triggering the floating display of the letter platter, and highlighting d(n) S250: The user drags the characters d(n) to form a combination. When the combination order is consistent with the temporary linked list N, that is, when and only when the temporary linked list N is equal to L(x).p, the user's challenge is successful, and the prefix L(x).p is displayed in a floating layer, forming a complete word with other characters in the temporary linked list M, and giving the user success reward feedback.
[0069] In a specific embodiment, in S220, the process of hiding the key characters includes:
[0070] According to the content of L(x).p, the corresponding character c(n) is automatically hidden, and a blank area is displayed on the screen to prompt the characters that need to be filled.
[0071] In a specific embodiment, in S250, the process of dragging the character d(n) to form a combination includes:
[0072] Drag the character d(n) by touching the screen or using the mouse and place it in the blank prefix area to form a combination;
[0073] When the combination order is consistent with the temporary linked list N, that is, when the temporary linked list N is equal to L(x).p, the floating display of the prefix L(x).p is automatically triggered, and a complete word is formed with other characters in the temporary linked list M.
[0074] Specifically, the forward closed-loop training of the present invention helps users understand word formation patterns by combining prefixes and activating root explanations. The reverse closed-loop training of the present invention strengthens users' memory and application of prefixes by hiding key characters and prompting users to combine prefixes. Interactive elements such as building blocks, control modules, and letter assemblies enhance user interest and engagement in learning. Visual animations, audio prompts, and reward mechanisms enhance the user's learning experience and sense of accomplishment.
[0075] See also Figure 3 , an English word formation training system based on double closed-loop interaction, including:
[0076] Thesaurus module: Splits the characters of English words into prefix, root and suffix parts, and stores them in a linear linked list L(n) = {w, p, r, s}, where w represents the foreign word, p represents the prefix, r represents the root, and s represents the suffix;
[0077] User interface module: used to present the characters of each part in the form of building blocks;
[0078] Forward training module: used to perform forward closed-loop training, including: operating the manipulation module to combine the prefix part, triggering the clickable state of the root part and the explanation panel, thereby achieving the forward closed-loop training;
[0079] Reverse training module: used to perform reverse closed-loop training, including: hiding the preset characters of English words and prompting the user to assemble the prefix part. The user completes the combination of the prefix part by dragging the characters. If the combination is successful, the prefix and the remaining characters are combined to form a complete word to achieve reverse closed-loop training.
[0080] A computer storage medium stores a computer program, which, when executed by a processor, implements the steps of an English word formation training method based on double closed-loop interaction.
[0081] Example 2:
[0082] The user is learning the English word "preheat," which has the prefix "un-," the root "happy," and the suffix "-ness." This embodiment uses a positive closed-loop training method to help the user master the word-building rules of this word. The positive closed-loop training process is as follows:
[0083] S110: According to the course content, extract the index n=x from the linear linked list L(n)={w,p,r,s} to obtain the foreign language word L(x).w=“unhappiness”.
[0084] Among them, L(x).p = "un-", L(x).r = "happy", and L(x).s = "-ness".
[0085] S120: Based on the content of L(x).w = "unhappiness", generate a temporary linked list M = {c1, c2, c3, c4, ...}, where c1 = 'u', c2 = 'n', c3 = 'h', c4 = 'a', c5 = 'p', c6 = 'p', c7 = 'i', c8 = 'n', c9 = 'e', c10 = 's', c11 = 's'.
[0086] Each character c(n) is displayed on the screen in the form of a building block.
[0087] S130: The user operates the control module to push the blocks and tries to combine the prefix “un-”.
[0088] The user selects the characters 'u' and 'n' in sequence, and generates a temporary linked list N = {d1, d2}, where d1 = 'u' and d2 = 'n'.
[0089] The system determines whether the temporary linked list N is equal to L(x).p="un-".
[0090] Since N=“un” matches L(x).p, the user’s challenge is successful, the prefix “un-” is displayed in a floating layer, and the root word “happy” is in a clickable state.
[0091] S140: The user clicks the root word "happy", triggering a root word explanation panel.
[0092] The panel displays the root word "happy"'s meaning (joyful) and a visual animation (eg, a smiling face animation).
[0093] Users further understand the meaning of root words and their role in words through animations and explanations.
[0094] Example 3:
[0095] The user is learning the English word "disagree". The prefix of the word is "dis-" and the root is "agree". This embodiment uses a reverse closed-loop training method to help the user master the word-forming rules of the word. The forward closed-loop training process is as follows:
[0096] S210: Based on the course content, the system extracts the index n=x from the linear linked list L(n)={w,p,r,s} and obtains the foreign language word L(x).w=“disagree”.
[0097] Among them, L(x).p="dis-", L(x).r="agree", L(x).s=" (no suffix).
[0098] S220: According to the content of L(x).w = "disagree", a temporary linked list M = {c1, c2, c3, c4, ...} is generated, where c1 = 'd', c2 = 'i', c3 = 's', c4 = 'a', c5 = 'g', c6 = 'r', c7 = 'e', c8 = 'e'.
[0099] Each character c(n) is displayed on the screen in the form of a building block, and the characters c1 = 'd', c2 = 'i', c3 = 's' corresponding to the prefix "dis-" are hidden according to the course design.
[0100] S230: According to the content of L(x).p=“dis-”, a temporary linked list N={d1, d2, d3} is generated, where d1='d', d2='i', and d3='s'.
[0101] S240: The user clicks on the blank prefix area (i.e., the first three blank blocks) to trigger the floating display of the letter platter.
[0102] The alphabetic platter contains all possible characters, and d(n)='d', 'i', 's' are highlighted.
[0103] S250: The user drags the characters 'd', 'i', and 's' from the letter palette and places them in the blank prefix area in sequence.
[0104] The combination formed by the user is "dis", and the system determines whether the combination is consistent with the temporary linked list N="dis".
[0105] Since the combination is correct, the user's challenge is successful, the prefix "dis-" is displayed in a floating layer, and forms the complete word "disagree" with the other characters "agree" in the temporary linked list M.
[0106] Automatically play success animations (e.g., fireworks effects) and give users reward feedback (e.g., points rewards).
[0107] Example 3:
[0108] An English word formation training method based on double closed-loop interaction, comprising:
[0109] Split the characters of an English word into a prefix part, a root part, and a suffix part, and store the linear linked list L(n) = {w, p, r, s}, where w represents the foreign word, p represents the prefix, r represents the root part, and s represents the suffix. The characters of each part are presented in the form of building blocks for forward closed-loop training and reverse closed-loop training;
[0110] The forward closed-loop training is achieved by operating the control module to combine the prefix part and trigger the clickable state and explanation panel of the root part;
[0111] By hiding the preset characters of English words and prompting users to assemble the prefix part, users complete the combination of the prefix part by dragging characters. If the combination is successful, the prefix and the remaining characters are combined to form a complete word, realizing reverse closed-loop training.
[0112] In a specific embodiment, the forward closed-loop training is achieved by operating the manipulation module to combine the prefix part and trigger the clickable state and explanation panel of the root part, including completing the forward closed-loop through an interactive word formation reinforcement training method.
[0113] For details, see Figure 2 The forward closed-loop training includes a vocabulary and foreign words in the vocabulary, including a linear linked list L(n) = {w, p, r, s}, (w represents a foreign word, p represents a prefix, r represents a root, and s represents a suffix)
[0114] The specific steps include:
[0115] S110: Based on the prime number sequence P(n) (e.g., P(1)=2, P(2)=3, P(3)=5...), the corresponding index n=P(x) is extracted as the learning vocabulary sequence to ensure that each training node is non-periodic and unique in time and content, effectively avoiding incorrect reinforcement learning caused by memory inertia. Get the foreign language word L(P(x)).w from the linear linked list
[0116] S120: Based on the content of L(P(x)).w, a temporary linked list M={c1, c2, c3, c4...} (c(n) represents each character of the foreign word w) is generated, and each character c(n) is displayed to the user in the form of a building block
[0117] S130: The user operates the top block of the control module to generate a temporary linked list N = {d1, d2, d3}. If and only if the temporary linked list N is equal to L(P(x)).p, the user's challenge is successful, the prefix L(P(x)).p is displayed in a floating layer, and the root L(x).r is in a clickable state.
[0118] S140: The user clicks on the root word L(x).r, triggering a root word explanation panel including word meaning and visual animation.
[0119] Add nonlinear indexing rules that are not easy to guess or remember.
[0120] Introducing prime numbers as the basis for content sampling can improve the uniqueness of combinations and the difficulty of content enhancement.
[0121] A personalized sequence can be created corresponding to the learner ID (for example: P(ID+Day)).
[0122] Specifically, only when the number of prefix blocks n that are successfully spliced satisfies the prime exponential relationship, such as 2^k, 3^k (for example, the number of blocks is 4=22, 8=23, 9=3 2 etc.), the root word L(x).r can be triggered to become clickable. ”
[0123] Introducing a prime number exponential mechanism to add challenge and sophisticated logic to the forward training game.
[0124] Encourage users to not only spell words but also use logical arrangement strategies.
[0125] Specifically, a combination is considered correct only when the sum of the ASCII characters corresponding to the prefix L(x).p modulo the prime number P(k) ≡ the preset value. For example, if the prefix is pre, its ASCII sum is 112+114+101=327. The combination is considered correct only when 327 mod 7=5 is the target value.
[0126] Strengthen security verification, not just relying on literal character matching.
[0127] Give the game more logical and mathematical challenges.
[0128] It can also be used as a means to prevent cheating in learning progress (preventing memory card type cheating).
[0129] It can be further used as a basis for grading vocabulary difficulty levels (for example, the higher the index, the more difficult the word).
[0130] Specifically, to prevent memory interference caused by repetitive learning, the system will use prime number spacing (such as the difference between the nth prime number and the n+1th prime number) as the basis for setting the time interval between training words.
[0131] Utilize the unpredictability of prime number spacing to form a distributed memory reinforcement rhythm.
[0132] Can be used as a scheduling method in AI course scheduling models (combined with spaced repetition)
[0133] In a specific embodiment, in S130, the process of operating the control module to push the building block includes:
[0134] Use the touch screen or mouse to operate the control module and arrange the building blocks in the order of English words to form a temporary linked list N;
[0135] When the temporary linked list N matches L(x).p, the floating display of the prefix part L(x).p is automatically triggered, and the clickable state of the root word L(x).r is activated.
[0136] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. Reference can be made to the common and similar parts between the various embodiments. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the method description.
[0137] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not limited to the embodiments shown herein but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. An English word formation training method based on double closed-loop interaction, characterized in that: include: Split the characters of an English word into a prefix part, a root part, and a suffix part, and store the linear linked list L(n) = {w, p, r, s}, where w represents the foreign word, p represents the prefix, r represents the root part, and s represents the suffix. The characters of each part are presented in the form of building blocks for forward closed-loop training and reverse closed-loop training; The forward closed-loop training is achieved by operating the control module to combine the prefix part and trigger the clickable state and explanation panel of the root part; By hiding the preset characters of English words and prompting users to assemble the prefix part, users complete the combination of the prefix part by dragging characters. If the combination is successful, the prefix and the remaining characters are combined to form a complete word, realizing reverse closed-loop training.
2. The English word formation training method based on double closed-loop interaction according to claim 1 is characterized in that: The operation of the manipulation module to combine the prefix part and trigger the clickable state of the root part and the explanation panel to achieve the positive closed-loop training includes: S110: According to the course content, sequentially extract the index n=x and obtain the English word L(x).w from the linear linked list L(n)={w,p,r,s}, where w represents the English word, p represents the prefix part, r represents the root part, and s represents the suffix part; S120: Generate a temporary linked list M = {c1, c2, c3, c4...} based on the content of L(x).w, where c(n) represents each character of the English word w, and each character c(n) is displayed to the user in the form of a building block; S130: Operate the top block of the control module to generate a temporary linked list N = {d1, d2, d3}. When the temporary linked list N is equal to L(x).p, the prefix L(x).p is displayed in a floating layer, and the root L(x).r is in a clickable state. S140: Click the root word L(x).r to trigger the root word explanation panel.
3. The English word formation training method based on double closed-loop interaction according to claim 2 is characterized in that: In S130, the process of operating the control module to push the building block includes: Use the touch screen or mouse to operate the control module and arrange the building blocks in the order of English words to form a temporary linked list N; When the temporary linked list N matches L(x).p, the floating display of the prefix part L(x).p is automatically triggered, and the clickable state of the root word L(x).r is activated.
4. The English word formation training method based on double closed-loop interaction according to claim 2 is characterized in that: In S140, the root explanation panel includes: The translation, etymology, meaning and usage of the root word are presented, and visual animations are used to show how the root word is used in different English words.
5. The English word formation training method based on double closed-loop interaction according to claim 1 is characterized in that: The method hides the preset characters of an English word and prompts the user to assemble the prefix part. The user drags the characters to complete the combination of the prefix part. If the combination is successful, the prefix and the remaining characters are combined to form a complete word, thereby achieving reverse closed-loop training, including: S210: Sequentially extract the index n=x according to the course content and obtain the foreign language word L(x).w from the linear linked list L(n)={w,p,r,s}; S220: Generate a temporary linked list M = {c1, c2, c3, c4...} based on the content of L(x).w, where c(n) represents each character of the foreign word w. Each character c(n) appears on the screen in the form of a building block, and the corresponding preset character is hidden according to the course content; S230: Generate a temporary linked list N = {d1, d2, d3...} based on the content of the prefix part L(x).p; S240: Clicking on the blank prefix area triggers the floating display of the letter platter and highlights d(n), where d(n) represents each character of the prefix p; S250: Drag characters d(n) to form a combination. When the combination order is consistent with the temporary linked list N, that is, when the temporary linked list N is equal to L(x).p, the prefix L(x).p is displayed in a floating layer and forms a complete word with other characters in the temporary linked list M.
6. The English word formation training method based on double closed-loop interaction according to claim 1 is characterized in that: In S220, the process of hiding the key characters includes: According to the content of L(x).p, the corresponding character c(n) is automatically hidden, and a blank area is displayed on the screen to prompt the characters that need to be filled.
7. The English word formation training method based on double closed-loop interaction according to claim 1 is characterized in that: In S250, the process of dragging the character d(n) to form a combination includes: Drag the character d(n) by touching the screen or using the mouse and place it in the blank prefix area to form a combination; When the combination order is consistent with the temporary linked list N, that is, when the temporary linked list N is equal to L(x).p, the floating display of the prefix L(x).p is automatically triggered, and a complete word is formed with other characters in the temporary linked list M.
8. An English word formation training system based on double closed-loop interaction, characterized in that: include: Thesaurus module: Splits the characters of English words into prefix, root and suffix parts, and stores them in a linear linked list L(n) = {w, p, r, s}, where w represents the foreign word, p represents the prefix, r represents the root, and s represents the suffix; User interface module: used to present the characters of each part in the form of building blocks; Forward training module: used to perform forward closed-loop training, including: operating the manipulation module to combine the prefix part, triggering the clickable state of the root part and the explanation panel, thereby achieving the forward closed-loop training; Reverse training module: used to perform reverse closed-loop training, including: hiding the preset characters of English words and prompting the user to assemble the prefix part. The user completes the combination of the prefix part by dragging the characters. If the combination is successful, the prefix and the remaining characters are combined to form a complete word to achieve reverse closed-loop training.
9. A computer storage medium, characterized in that The computer storage medium stores a computer program, which, when executed by a processor, implements the steps of an English word formation training method based on double closed-loop interaction as described in any one of claims 1 to 7.