Method and system for reading and memorizing English words based on virtual reality scene

Abstract

The present invention discloses an English word recitation and memorization method and system based on a virtual reality scene, and relates to the field of intelligent learning technology. The method comprises: collecting the current student's nth follow-up voice information of a target English word in a virtual environment; obtaining the current student's nth follow-up similarity of the target English word according to the nth follow-up voice information of the target English word; calculating the current student's nth follow-up score of the target English word according to the nth follow-up similarity of the target English word; calculating and obtaining the current student's consolidation interval time of the target English word according to the current student's nth follow-up score of the target English word; when the consolidation interval time arrives, providing the target English word to the current student for follow-up. The present invention can reasonably formulate the review time according to the student's current mastery of English words, and has a high degree of intelligence.

Description

Technical Field

[0001] The present invention relates to the field of intelligent learning technology, and in particular to a method and system for reciting and memorizing English words based on a virtual reality scene. Background Art

[0002] When learning English, English words are the first thing to solve. Words are the basis of sentences and articles. It is recommended to recite English words, because when reciting, the eyes see for input, the brain reacts, the mouth reads for output, the ears hear, and then enters the brain to verify whether it is correct or wrong. This process is a complete learning closed loop, and you cannot be distracted, because distraction will definitely make mistakes. Therefore, reciting is very important, it helps learners develop concentration, enhance learning ability, and improve learning efficiency.

[0003] Traditional English word recitation and memorization methods mainly adopt manual methods, such as morning reading, where students gather together to recite, and teachers supervise and check, and remind students when they make mistakes in recitation, or students recite on their own, and there is a problem that when recitation errors occur, they cannot be corrected in time. With the development of computer technology, word recitation devices / systems have emerged. Generally, an English word database is established in advance, and then each English word is provided to students in a set order (for example, in alphabetical order), or further according to a pre-set recitation review cycle, at the end of each time period, the words recited in the previous cycle are re-provided to students for review. At the same time, these word recitation devices / systems can score the words recited by students and show them to students, so as to correct students' recitation errors in time.

[0004] However, during the recitation process, students have different levels of memory and mastery of different words. Asking students to review words of different mastery levels in the same recitation review cycle is not conducive to the scientific management of study time and words. Summary of the invention

[0005] The present invention provides an English word recitation and memorization method based on a virtual reality scene, which is used to solve the problem that the existing English word recitation and memorization method is not intelligent enough and cannot evaluate the degree of mastery of each English word by students and provide review suggestions for each English word. The present invention provides an English word recitation and memorization method and system based on a virtual reality scene, which can intelligently evaluate the current mastery of English words by students and provide a reasonable word consolidation review time, effectively improving the learning efficiency of students.

[0006] In a first aspect, the present invention provides an intelligent English word memorization and recitation management method, comprising the following steps:

[0007] Collect the current student's nth voice information of following the target English word in the virtual environment;

[0008] According to the n-th follow-up voice information of the target English word, obtaining the n-th follow-up similarity of the current student to the target English word;

[0009] Calculating a score for the current student's n-th follow-up reading of the target English word according to the similarity of the current student's n-th follow-up reading of the target English word;

[0010] Calculate and obtain the consolidation interval time of the target English word by the current student according to the score of the current student's nth reading of the target English word;

[0011] When the consolidation interval arrives, provide the target English words to the current students for them to read along.

[0012] In an optional embodiment, the calculating the score of the current student's n-th follow-up reading of the target English word according to the similarity of the current student's n-th follow-up reading of the target English word includes:

[0013] The following first formula is used to calculate the score of the current student's nth follow-up reading of the target English word:

[0014]

[0015] In the first formula, F n is the score of the current student's nth follow-up reading of the target English word, e is the base of the natural logarithm, S i is the similarity of the current student's reading of the target English word for the i-th time, i = 1, 2, ..., n; s n is the similarity of the current student’s nth reading of the target English word, s n-1 is the similarity of the current student’s reading of the target English word for the n-1th time, s i+1 It is the similarity of the current student’s reading of the target English word for the i+1th time.

[0016] In an optional embodiment, according to the current student's nth reading score of the target English word, calculating and obtaining the consolidation interval time of the current student for the target English word includes:

[0017] The consolidation interval time of the current student for the target English word is calculated according to the following second formula:

[0018]

[0019] In the second formula, T n+1 is the consolidation interval of the target English words for the current students, F n-1 Indicates the score of the current student's n-1th follow-up reading of the target English word, sinh -1() is the inverse hyperbolic sine function, cosh -1 () is the inverse hyperbolic cosine function, and ln() is the logarithmic function with the constant e as the base.

[0020] In an optional embodiment, after calculating the current student's score for following the target English word according to the nth similarity of following the target English word, the method further includes:

[0021] Compare the score of the current student's nth follow-up reading of the target English word with the score of the current student's n-1th follow-up reading of the target English word;

[0022] If the score of the current student's nth follow-up reading of the target English word is greater than the score of the current student's n-1th follow-up reading of the target English word, the first prompt information is displayed to the current student;

[0023] If the score of the current student's nth follow-up reading of the target English word is not greater than the score of the current student's n-1th follow-up reading of the target English word, the reduction value of the current student's follow-up reading of the target English word is calculated according to the third formula, and the second prompt information is displayed to the current student;

[0024] Wherein, the third formula is:

[0025]

[0026] In the third formula, G n is the decrease in the current students’ reading of the target English word, s n-2 It is the similarity of the current student’s n-2th reading of the target English word.

[0027] In an optional embodiment, the first prompt information at least includes: the current student's nth follow-up score for the target English word, and preset affirmative prompt information.

[0028] In an optional embodiment, the second prompt information includes at least: the current student's nth follow-up score for the target English word, the current student's follow-up score for the target English word, and preset encouraging prompt information.

[0029] In a second aspect, the present invention provides an English word reading and memorizing system based on a virtual reality scene, comprising:

[0030] The collection module is used to collect the nth voice information of the target English word followed by the current student in the virtual environment;

[0031] A similarity acquisition module, used for acquiring the similarity of the current student's nth follow-up reading of the target English word according to the nth follow-up reading voice information of the target English word;

[0032] A scoring module, used for calculating a score for the current student's n-th follow-up reading of the target English word according to the similarity of the current student's n-th follow-up reading of the target English word;

[0033] A consolidation interval time calculation module is used to calculate and obtain the consolidation interval time of the current student for the target English word according to the current student's nth follow-up score for the target English word;

[0034] Provides a module for providing target English words to current students for follow-up reading when the consolidation interval arrives.

[0035] In an optional embodiment, the scoring module is specifically used to calculate the score of the current student's nth follow-up reading of the target English word according to the following first formula:

[0036]

[0037] In the first formula, F n is the score of the current student's nth follow-up reading of the target English word, e is the base of the natural logarithm, S i is the similarity of the current student's reading of the target English word for the i-th time, i = 1, 2, ..., n; s n is the similarity of the current student’s nth reading of the target English word, s n-1 is the similarity of the current student’s reading of the target English word for the n-1th time, s i+1 It is the similarity of the current student’s reading of the target English word for the i+1th time.

[0038] In an optional embodiment, the consolidation interval time calculation module is specifically used to calculate and obtain the consolidation interval time of the current student for the target English word according to the following second formula:

[0039]

[0040] In the second formula, T n+1 is the consolidation interval of the target English words for the current students, F n-1 Indicates the score of the current student's n-1th follow-up reading of the target English word, sinh -1 () is the inverse hyperbolic sine function, cosh -1 () is the inverse hyperbolic cosine function, and ln() is the logarithmic function with the constant e as the base.

[0041] In an optional embodiment, the system further comprises:

[0042] A comparison module is used to compare the score of the current student's nth follow-up reading of the target English word with the score of the current student's n-1th follow-up reading of the target English word;

[0043] A display module, for displaying first prompt information to the current student when the comparison module compares that the current student's n-th follow-up score for the target English word is greater than the n-1-th follow-up score for the target English word; and for calculating the reduction value of the current student's follow-up score for the target English word according to a third formula when the comparison module compares that the current student's n-th follow-up score for the target English word is not greater than the n-1-th follow-up score for the target English word, and displaying second prompt information to the current student;

[0044] Wherein, the third formula is:

[0045]

[0046] In the third formula, G n is the decrease in the current students’ reading of the target English word, s n-2 It is the similarity of the current student’s n-2th reading of the target English word.

[0047] The English word recitation and memorization method and system based on virtual reality scene provided by the present invention first calculates the current student's follow-up score for the target English word according to the similarity of the student's follow-up reading of the target English word, then calculates and obtains the consolidation interval time of the current student for the target English word according to the follow-up reading score, and finally provides the target English word to the current student for follow-up reading when the consolidation interval time arrives. The present invention can intelligently calculate the student's current mastery score of the English word, and formulate a reasonable consolidation interval time for the next review of the word, which can effectively improve the student's learning efficiency.

[0048] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0049] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0051] Figure 1 It is a flow chart of a method for reciting and memorizing English words based on a virtual reality scene in an embodiment of the present invention;

[0052] Figure 2 is a method flow chart after step S103;

[0053] Figure 3 A structural diagram of a first embodiment of an English word reading and memorizing system based on a virtual reality scene provided by an embodiment of the present invention;

[0054] Figure 4 This is a structural diagram of Example 2 of an English word reading and memorizing system based on a virtual reality scene provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0056] Figure 1 FIG. 1 is a flow chart of a method for reciting and memorizing English words based on a virtual reality scene in an embodiment of the present invention. Figure 1 As shown, the method includes the following steps S101-S105:

[0057] S101: Collecting the nth voice information of the current student following the target English word in the virtual environment.

[0058] In this embodiment, the voice information of each English word read by the student in the virtual reality scene is collected in real time, so as to facilitate subsequent intelligent analysis and determine the degree of mastery of the English words by the students.

[0059] S102: According to the n-th follow-up speech information of the target English word, obtain the n-th follow-up similarity of the current student to the target English word.

[0060] In this embodiment, if the current student's reading similarity to the target English word is higher, it indicates that the current student's pronunciation of the target English word is more accurate and the degree of mastery is better.

[0061] S103: Calculate the score of the current student's n-th follow-up reading of the target English word according to the similarity of the current student's n-th follow-up reading of the target English word.

[0062] Preferably, the score of the current student's nth follow-up reading of the target English word is calculated according to the following first formula:

[0063]

[0064] In the first formula, F n is the score of the current student's nth follow-up reading of the target English word. The higher the score, the more accurate the current student's pronunciation of the target English word. e is the base of the natural logarithm, with a value of 2.71. S i is the similarity of the current student's reading of the target English word for the i-th time, i = 1, 2, ..., n; sn is the similarity of the current student’s nth reading of the target English word, s n-1 is the similarity of the current student’s reading of the target English word for the n-1th time, s i+1 It is the similarity of the current student’s reading of the target English word for the i+1th time.

[0065] S104: Calculate and obtain the consolidation interval time of the target English word for the current student according to the nth follow-up score of the current student for the target English word.

[0066] Preferably, the consolidation interval time of the current student for the target English word is calculated and obtained according to the following second formula:

[0067]

[0068] In the second formula, T n+1 is the consolidation interval of the target English words for the current students, F n-1 Indicates the score of the current student's n-1th follow-up reading of the target English word, sinh -1 () is the inverse hyperbolic sine function, cosh -1 () is the inverse hyperbolic cosine function, and ln() is the logarithmic function with the constant e as the base.

[0069] In this embodiment, according to the second formula and the Ebbinghaus forgetting curve, when F n >F n-1 When After one hour, the system will provide the target English word to the same student again, asking the student to repeat the reading, which can help the student deepen his reading skills and memory of the target English word. n ≤F n-1 When After an hour, the system will provide the target English word to the same student again, asking the student to repeat the words and deepen the student's reading skills and memory of the target English words.

[0070] S105: When the consolidation interval time arrives, provide the current student with the target English words for follow-up reading.

[0071] In this embodiment, the English word review time is obtained according to the current mastery level of the target English word by the student, so as to facilitate the student to better master the target English word.

[0072] like Figure 2 As shown, after step S103, the following steps S201-S203 may also be included:

[0073] S201: Determine whether the score of the current student's nth follow-up reading of the target English word is greater than the score of the current student's n-1th follow-up reading of the target English word; if so, execute step S202; otherwise, execute step S203.

[0074] S202: Display the first prompt information to the current student.

[0075] In this embodiment, when F n Greater than F n-1 , it indicates that the student’s pronunciation of the target English word has improved. The system will display the score for following along and give corresponding praise to encourage the student to continue learning.

[0076] S203: Calculate the reduction value of the current student's follow-up reading of the target English word according to the third formula, and display the second prompt information to the current student.

[0077] Preferably, the third formula is:

[0078]

[0079] In the third formula, G n is the decrease in the current students’ reading of the target English word, s n-2 It is the similarity of the current student’s n-2th reading of the target English word.

[0080] In this embodiment, when F n Less than or equal to F n-1 , indicating that the student's current mastery of the pronunciation of the target English word is deteriorating. The system will prompt that the student needs to continue to work hard and display the score of the follow-up reading and the decrease compared with the previous follow-up reading score. n , in order to remind the current students that there are problems in their mastery of the pronunciation of the target English words, which will help the current students improve their mastery of the target English words as quickly as possible.

[0081] The method for reciting and memorizing English words based on a virtual reality scene provided by an embodiment of the present invention first calculates the current student's follow-up score for the target English word based on the similarity of the student's follow-up reading of the target English word, then calculates and obtains the consolidation interval time of the current student for the target English word based on the follow-up score, and finally provides the target English word to the current student for follow-up reading when the consolidation interval time arrives; at the same time, the follow-up score is also displayed to the student, so that the student knows his or her mastery of the English word. The present invention can push relevant memory exercises to recite the target English word to the student at the best consolidation memory time according to the student's current mastery of the English word and the characteristics of memory, so as to help the student consolidate the memory, better master the word recitation skills, and effectively improve the student's learning efficiency. The follow-up reading system has a high degree of intelligence.

[0082] Corresponding to the method for reciting and memorizing English words based on a virtual reality scene provided by an embodiment of the present invention, an embodiment of the present invention also provides a system for reciting and memorizing English words based on a virtual reality scene, such as Figure 3 The system comprises:

[0083] The acquisition module 1 is used to acquire the voice information of the current student's nth follow-up reading of the target English word in the virtual environment.

[0084] The similarity acquisition module 2 is used to acquire the similarity of the current student's n-th follow-up reading of the target English word based on the n-th follow-up reading voice information of the target English word.

[0085] The scoring module 3 is used to calculate the score of the current student's nth follow-up reading of the target English word according to the similarity of the current student's nth follow-up reading of the target English word. Preferably, the scoring module 3 is specifically used to calculate the score of the current student's nth follow-up reading of the target English word according to the first formula above.

[0086] The consolidation interval time calculation module 4 is used to calculate the consolidation interval time of the current student for the target English word according to the current student's nth follow-up score for the target English word. Preferably, the consolidation interval time calculation module 4 is specifically used to calculate the consolidation interval time of the current student for the target English word according to the second formula.

[0087] Module 5 is provided for providing target English words to the current student for follow-up reading when the consolidation interval time arrives.

[0088] Figure 4 This is a structural diagram of Embodiment 2 of the English word reading and memorizing system based on a virtual reality scene provided by the present invention. Figure 4 This embodiment is based on the structure of the aforementioned embodiment 1 of the English word reading and memorizing system based on the virtual reality scene. Further, the English word reading and memorizing system based on the virtual reality scene also includes:

[0089] A comparison module 6 is used to compare the score of the current student's nth follow-up reading of the target English word with the score of the current student's n-1th follow-up reading of the target English word;

[0090] Display module 7 is used to display the first prompt information to the current student if the current student's n-th follow-up score for the target English word is greater than the n-1-th follow-up score for the target English word; if the current student's n-th follow-up score for the target English word is not greater than the n-1-th follow-up score for the target English word, calculate the current student's follow-up reduction value for the target English word according to the third formula above, and display the second prompt information to the current student.

[0091] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.

[0092] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0093] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0094] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0095] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for reciting and memorizing English words based on a virtual reality scene, characterized in that: The following steps are involved: Collect the current student's nth voice information of following the target English word in the virtual environment; According to the n-th follow-up voice information of the target English word, obtaining the n-th follow-up similarity of the current student to the target English word; Calculating a score for the current student's n-th follow-up reading of the target English word according to the similarity of the current student's n-th follow-up reading of the target English word; Calculate and obtain the consolidation interval time of the target English word by the current student according to the score of the current student's nth reading of the target English word; When the consolidation interval arrives, provide the target English words to the current students for them to read aloud; The step of calculating the score of the current student's n-th follow-up reading of the target English word according to the similarity of the current student's n-th follow-up reading of the target English word comprises: The following first formula is used to calculate the score of the current student's nth follow-up reading of the target English word: In the first formula, F n is the score of the current student's nth follow-up reading of the target English word, e is the base of the natural logarithm, S i is the similarity of the current student's reading of the target English word for the i-th time, i = 1, 2, ..., n; s n is the similarity of the current student’s nth reading of the target English word, s n-1 is the similarity of the current student’s reading of the target English word for the n-1th time, s i+1 is the similarity of the current student's reading of the target English word for the i+1th time; Wherein, after calculating the current student's score for following the target English word according to the similarity of following the target English word for the nth time, the method further includes: Compare the score of the current student's nth follow-up reading of the target English word with the score of the current student's n-1th follow-up reading of the target English word; If the score of the current student's nth follow-up reading of the target English word is greater than the score of the current student's n-1th follow-up reading of the target English word, the first prompt information is displayed to the current student; If the score of the current student's nth follow-up reading of the target English word is not greater than the score of the current student's n-1th follow-up reading of the target English word, the reduction value of the current student's follow-up reading of the target English word is calculated according to the third formula, and the second prompt information is displayed to the current student; Wherein, the third formula is: In the third formula, G n is the decrease in the current students’ reading of the target English word, s n-2 It is the similarity of the current student’s n-2th reading of the target English word.

2. The method for reciting and memorizing English words based on a virtual reality scene as claimed in claim 1, characterized in that: According to the nth reading score of the current student for the target English word, the consolidation interval time of the current student for the target English word is calculated, including: The consolidation interval time of the current student for the target English word is calculated according to the following second formula: In the second formula, T n+1 is the consolidation interval of the target English words for the current students, F n-1 Indicates the score of the current student's n-1th follow-up reading of the target English word, sinh -1 () is the inverse hyperbolic sine function, cosh -1 () is the inverse hyperbolic cosine function, and ln() is the logarithmic function with the constant e as the base.

3. The method for reciting and memorizing English words based on a virtual reality scene as claimed in claim 1, characterized in that: The first prompt information at least includes: the current student's nth follow-up score for the target English word, and preset affirmative prompt information.

4. The method for reciting and memorizing English words based on a virtual reality scene as claimed in claim 3, characterized in that: The second prompt information at least includes: the score of the current student's nth follow-up reading of the target English word, the reduction value of the current student's follow-up reading of the target English word and preset encouraging prompt information.

5. The English word reading and memorizing system based on virtual reality scene is characterized by: include: The collection module is used to collect the nth voice information of the target English word followed by the current student in the virtual environment; A similarity acquisition module, used for acquiring the similarity of the current student's nth follow-up reading of the target English word according to the nth follow-up reading voice information of the target English word; A scoring module, used for calculating a score for the current student's n-th follow-up reading of the target English word according to the similarity of the current student's n-th follow-up reading of the target English word; A consolidation interval time calculation module is used to calculate and obtain the consolidation interval time of the current student for the target English word according to the current student's nth follow-up score for the target English word; Provide a module to provide target English words to current students for follow-up reading when the consolidation interval arrives; The scoring module is specifically used to calculate the score of the current student's nth follow-up reading of the target English word according to the following first formula: In the first formula, F n is the score of the current student's nth follow-up reading of the target English word, e is the base of the natural logarithm, S i is the similarity of the current student's reading of the target English word for the i-th time, i = 1, 2, ..., n; s n is the similarity of the current student’s nth reading of the target English word, s n-1 is the similarity of the current student’s reading of the target English word for the n-1th time, s i+1 is the similarity of the current student's reading of the target English word for the i+1th time; The system also includes: A comparison module is used to compare the score of the current student's nth follow-up reading of the target English word with the score of the current student's n-1th follow-up reading of the target English word; A display module, for displaying first prompt information to the current student when the comparison module compares that the current student's n-th follow-up score for the target English word is greater than the n-1-th follow-up score for the target English word; and for calculating the reduction value of the current student's follow-up score for the target English word according to a third formula when the comparison module compares that the current student's n-th follow-up score for the target English word is not greater than the n-1-th follow-up score for the target English word, and displaying second prompt information to the current student; Wherein, the third formula is: In the third formula, G n is the decrease in the current students’ reading of the target English word, s n-2 It is the similarity of the current student’s n-2th reading of the target English word.

6. The English word reading and memorizing system based on virtual reality scene as claimed in claim 5, characterized in that: The consolidation interval time calculation module is specifically used to calculate and obtain the consolidation interval time of the current student for the target English word according to the following second formula: In the second formula, T n+1 is the consolidation interval of the target English words for the current students, F n-1 Indicates the score of the current student's n-1th follow-up reading of the target English word, sinh -1 () is the inverse hyperbolic sine function, cosh -1 () is the inverse hyperbolic cosine function, and ln() is the logarithmic function with the constant e as the base.

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