CN109597808B - Word sorting method and learning method according to word difficulty - Google Patents
Word sorting method and learning method according to word difficulty Download PDFInfo
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- CN109597808B CN109597808B CN201811264508.7A CN201811264508A CN109597808B CN 109597808 B CN109597808 B CN 109597808B CN 201811264508 A CN201811264508 A CN 201811264508A CN 109597808 B CN109597808 B CN 109597808B
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Abstract
The invention discloses a word sorting method according to word difficulty, which comprises the following steps: s10, establishing a word database, storing a certain amount of words into the word database, sampling M words in the data of the word database, and averagely dividing the M words into K groups; s20, providing words of the word database data to a user for learning in a grouping mode, recording the learning feedback condition of the user, and providing the option of 'forgetting' for the user to feed back in the learning process; s30, defining a word difficulty coefficient bmdif = n/m of a word; and S40, calculating the word difficulty coefficient bmdif value of each word according to the definition of the word difficulty coefficient bmdif, and sequencing the words according to the size of the bmdif value in a sequence from small to large. The invention can help the user to better plan the learning plan and the review plan according to the difficulty of the words, thereby effectively improving the learning efficiency of the user.
Description
Technical Field
The invention relates to a word sorting method, in particular to a word sorting method and a learning method according to word difficulty.
Background
Learning any language, the vocabulary is an important measure of how well a person can learn that language. Taking English learning as an example, many Chinese students spend 16 years from primary school to college graduation, and the amount of words mastered is only about 6,000 (six-grade college English).
In order to learn and memorize thousands of words, a user usually needs to make a corresponding learning and reviewing plan, for example, to learn and memorize words better, words with a certain word quantity are grouped and memorized in groups, during the grouping and memorizing process, the previously memorized grouped words are reviewed so as to avoid forgetting, and then the learning and reviewing are performed alternately.
At present, no perfect word difficulty statistical mode exists in the market, review cycles and review time cannot be arranged in a targeted mode according to words with different difficulties, so that a user is likely to spend much energy on reviewing simple words and words with difficulty in reviewing, time and energy needed by the user for learning and memorizing are large, and the effect is not satisfactory.
Disclosure of Invention
In order to overcome the defects and problems in the prior art, the invention provides a word sorting method according to word difficulty and a learning method using the word sorting method, so as to help a user to better plan a learning plan and a review plan, thereby effectively improving the learning efficiency and the learning effect of the user.
The invention is realized by the following technical scheme: a method of word ranking according to word difficulty, the method of word ranking comprising:
s10, establishing a word database, storing a certain amount of words into the word database, sampling M words in the data of the word database, wherein M = K N, N is a positive integer, averagely dividing the M words into K groups, and each group has N words; wherein K is a positive integer of 10-100; m is a positive integer of 5000-50000;
s20, providing words of the word database data to a user for learning in a grouping mode, recording the learning feedback condition of the user, and providing the option of 'forgetting' for the user to feed back in the learning process;
s30, defining a word difficulty coefficient bmdif = n/m of a word, wherein m refers to the number of people just reaching X days when a certain word is learned; and n is the number of people who feed back the "forgotten" in X days among the m people, wherein X is a positive integer of 2 to 10.
S40, calculating word difficulty coefficient bmdif values of all words according to the definition of the word difficulty coefficients bmdif, sequencing the words according to the bmdif values in a sequence from small to large, and sequencing the words with larger m in the front if the bmdif values of two or more words are equal.
Further, the word sorting method further comprises:
s50, after the M words are sorted according to the method in the step S40, the M words are sequentially and averagely divided into K groups, the difficulty levels corresponding to the first group of words to the K group of words are sequentially the first level difficulty level to the K level difficulty level, and if the numerical value of the word bmdif is zero, the corresponding word is directly divided into the highest level difficulty level. Wherein, the higher the difficulty level is, the greater the learning difficulty is represented.
In the present invention, K =10, M =16000, and X =2 are preferable.
The invention also provides a learning method convenient for a user to learn words, which comprises the following steps:
after dividing the words in the word database into K-level difficulty levels by using the word sorting method, sequentially extracting the words according to the difficulty levels for the user to perform learning test, or extracting the words with corresponding difficulty levels according to the requirements of the user for the user to perform learning test, and after finishing the learning test, storing the learning test records of each user.
When corresponding words are added or introduced into the word database as required, the added or introduced words are divided into corresponding difficulty grades according to the word sorting method and then are tested by a user.
Preferably, the learning test record of each user is stored in a memory behavior database, and the memory behavior database is used for feeding back the learning test condition of each user in each learning test process.
Preferably, in the learning process, besides the option of "forgetting" is provided for the user to feed back, the two options of "recognizing" and "blurring" are provided for the user to learn and test, so that the user can select the corresponding option for each word to label according to the learning condition of the user in the learning and testing process.
Compared with the prior art, the invention has the following beneficial effects: according to the word learning method and the word learning device, the word is defined by the difficulty coefficient, then the word is ranked according to the difficulty coefficient, the word is ranked by the difficulty level, and the word is ranked by the ranking mode and then provided for the user to learn, so that the user can learn the word easily and difficultly, or the user can better arrange the word review time according to the word difficulty, and therefore the learning efficiency of the user for learning the word is effectively improved; in the learning test process of providing the words for the user, the user can mark the words correspondingly according to the self condition, so that the user can review the words which are memorized and fuzzy or forgotten effectively in the learning test process, and the learning effect of the user is greatly improved.
Drawings
Fig. 1 is a flow chart of a word sorting method according to an embodiment of the present invention.
Detailed Description
To facilitate understanding of those skilled in the art, the present invention is described in further detail below with reference to the accompanying drawings and specific embodiments.
As shown in fig. 1, a word sorting method according to word difficulty includes:
s10, establishing a word database, storing a certain amount of words into the word database, sampling M words in the data of the word database, wherein M = K N, N is a positive integer, averagely dividing the M words into K groups, and each group has N words;
s20, providing words of the word database data to a user for learning in a grouping mode, recording the learning feedback condition of the user, and providing the option of 'forgetting' for the user to feed back in the learning process;
and S30, defining a word difficulty coefficient bmdif = n/m of the word, wherein m refers to the number of people learning a certain word for just X days, and n refers to the number of people feeding back 'forgetting' in all the people for X days (namely m people). In the invention, X is a positive integer of 2 to 10, and the specific numerical value can be selected according to actual needs, and in the embodiment of the invention, X =2 is preferred.
S40, calculating word difficulty coefficient bmdif values of all words according to the definition of the word difficulty coefficients bmdif, sequencing the words according to the bmdif values in a sequence from small to large, and sequencing the words with larger m in the front if the bmdif values of two or more words are equal;
s50, after the M words are sorted according to the method in the step S40, the M words are sequentially and averagely divided into K groups, the difficulty levels corresponding to the first group of words to the K group of words are sequentially the first level difficulty level to the K level difficulty level, and if the numerical value of the word bmdif is zero, the corresponding word is directly divided into the highest level difficulty level. Higher difficulty ratings represent greater difficulty in learning.
In a preferred embodiment, K is a positive integer of 10 to 100, and M is a positive integer of 5000 to 50000. Preferably, K is 10 and M is 16000; in this embodiment, 16000 common words are sampled from the word database data, and 16000 sampled words are averagely divided into 10 groups, so that each group of words has 1600 words; in addition, after the 16000 words are sorted according to the method described in step S40, the difficulty levels of the words from the first group to the tenth group are the first difficulty level to the tenth difficulty level in sequence. Of course, the specific values of M and K can be selected according to actual needs.
For better understanding, X =2 is taken as an example to illustrate a specific embodiment: m is the total number of users of a word which are learned for two days, wherein the two days can be two continuous days or discontinuous days, and the system arrangement is carried out. For example, the king learns the word of the applet one week ago, the king is arranged to learn today, and after the king is learned, the next day of the learning time of the user, the king is counted by the user into the m value of the word of the applet; as another example, xiaoming learned yesterday and reviewed today again, which is also a part of m. If another user has learned an applet more than 2 times, or less than 2 times, it is not counted in the m value.
And n is the number of a word that is continuously fed back 2 times in m people. For example, suppose that minuscule learns the word applet, yesterday first learns, feeds back "forget", and today is scheduled to review again (which is inevitable when first learning forgets, and second day learns again), and review also chooses "forget". It is obvious that today, the word applet has been learned and only twice, and both times are "forgotten". The decimal is counted into the n value of the applet. If another user has learned an applet more than 2 times, or less than 2 times, it is not counted in the n value.
N = 0 for a word represents that no user has just learned 2 times and all are selecting "forget". Meaning that this statistic has no data, while bmdif must equal 0.
Analysis of n/m shows that, in the case of the same number of learners (equal m value), the smaller the n value of the word, and the smaller the number of people who "forget" twice in succession, the lower the difficulty of the word. Another corollary is that when the n/m values of two words are equal, words with a high number of learners (m is larger), are relatively simpler. That is, if the values of n/m are the same, the greater m the lower the difficulty level, and the greater m the lower the difficulty level when ranking the difficulty levels.
The difficulty level is described here with a specific example of a word with 8000 learners with the highest number of learners: the 8000 words with the most learning people can calculate the value bmdif = n/m for each word, after the value bmdif = n/m is calculated, the 8000 words are arranged in the order from small to large according to the value of the value, if the n/m values of the two words are the same and the m is large, the 8000 words are averagely divided into 10 groups after the arrangement, the words in each group correspond to the first-level difficulty level, namely, the 1 st to 800 th words are divided into the first-level difficulty level, the 801 th to 1600 th words are divided into the second-level difficulty level, and the like.
When the bmdif = n/m value is calculated, the bmdif value is accurate to 4 bits after the decimal point in the embodiment, the following group of 9 values, 0.0055,0.0127 \ 8230, 0.1524, are calculated according to actual data, and the minimum and maximum values of 0 and 1 are added, so that an 11-step difficulty coefficient can be formed; from this, it can be calculated that the bmdif value range of the first gear difficulty rating is (0.0055, 0.0127), the bmdif value range of the second gear difficulty rating is (0.0127, 0.0217] \8230, and so on, and the tenth gear difficulty rating is (0.1524, 1] or 0 (note that bmdif = 0 in this embodiment belongs to a special case, and the word bmdif = 0 is divided into the tenth gear difficulty rating).
The embodiment of the invention also provides a learning method convenient for a user to learn words, which comprises the following steps:
after dividing the words in the word database into K-level difficulty levels by using the word sorting method, sequentially extracting the words according to the difficulty levels for the user to perform learning test, or extracting the words with corresponding difficulty levels according to the requirements of the user for the user to perform learning test, and after finishing the learning test, storing the learning test records of each user.
When corresponding words are added or imported into the word database according to needs, the added or imported words are divided into corresponding difficulty levels according to the word sorting method and then are tested by the user.
As a preferred embodiment, the learning test record of each user is stored in a memory behavior database, and the memory behavior database is used for feeding back the learning test condition of each user in each learning test process; in the learning process, besides the option of 'forgetting' is provided for the feedback of the user, the two options of 'knowing' and 'fuzzing' are provided for the learning test of the user, so that the user can select the corresponding option for each word to label the word according to the learning condition of the user in the learning test process.
Compared with the prior art, the invention has the following beneficial effects: according to the word learning method and the word learning device, the word is defined by the difficulty coefficient, then the word is ranked according to the difficulty coefficient, the word is ranked by the difficulty level, and the word is ranked by the ranking mode and then provided for the user to learn, so that the user can learn the word easily and difficultly, or the user can better arrange the word review time according to the word difficulty, and therefore the learning efficiency of the user for learning the word is effectively improved; in the learning test process of providing the words for the user, the user can correspondingly label the words according to the self condition, so that the user can effectively review the words which are memorized and fuzzy or forgotten in the learning test process, and the learning effect of the user is greatly improved.
The above embodiments are preferred implementations of the present invention, and are not intended to limit the present invention, and any obvious alternative is within the scope of the present invention without departing from the inventive concept thereof.
Claims (6)
1. A method for word ranking based on word difficulty, the method comprising:
s10, establishing a word database, storing a certain amount of words into the word database, sampling M words in the data of the word database, wherein M = K N, N is a positive integer, averagely dividing the M words into K groups, and each group has N words;
s20, providing words of the word database data to a user for learning in a grouping mode, recording the learning feedback condition of the user, and providing a 'forgetting' option for the user to feed back in the learning process;
s30, defining a word difficulty coefficient bmdif = n/m of a word, wherein m refers to the number of people just reaching X days when a certain word is learned; n is the number of people who feed back the forgetting in X days in the m people; wherein X is a positive integer of 2-10;
s40, calculating word difficulty coefficient bmdif numerical values of the words according to the definition of the word difficulty coefficients bmdif, sequencing the words according to the bmdif numerical values in a descending order, and sequencing the words with larger m in a forward order if the bmdif numerical values of two or more words are equal;
s50, after the M words are sequenced according to the method in the step S40, the M words are sequentially and averagely divided into K groups, the difficulty levels corresponding to the first group of words to the K group of words are sequentially the first level difficulty level to the K level difficulty level, if the numerical value of the word bmdif is zero, the corresponding word is directly divided into the highest level difficulty level, wherein n = 0 of the word represents that no user just learns X days and selects 'forgetting'.
2. The method of word ordering according to claim 1, wherein: k is a positive integer of 10-100; and M is a positive integer of 5000-50000.
3. The word sorting method according to claim 1, wherein: k is a positive integer of 10-100; and M is a positive integer of 5000-50000.
4. The learning method according to claim 3, characterized in that the learning method further comprises:
when corresponding words are added or imported into the word database as required, the added or imported words are divided into corresponding difficulty grades according to the word sorting method of claim 1 and then are tested by a user.
5. The learning method according to claim 3, characterized in that: the learning test records of each user are stored in a memory behavior database, and the memory behavior database is used for feeding back the learning test condition of each user in each learning test process.
6. The learning method according to claim 3, characterized in that: in the learning process, besides the option of 'forgetting' is provided for the feedback of the user, the two options of 'knowing' and 'fuzzing' are provided for the learning test of the user, so that the user can select the corresponding option for each word to label the word according to the learning condition of the user in the learning test process.
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| CN111861374B (en) * | 2020-06-19 | 2024-02-13 | 北京国音红杉树教育科技有限公司 | Foreign language review mechanism and device |
| CN111861812B (en) * | 2020-06-19 | 2024-01-16 | 北京国音红杉树教育科技有限公司 | Word memory strength calculation method and device for word listening mode |
| CN113742459B (en) * | 2021-11-05 | 2022-03-04 | 北京世纪好未来教育科技有限公司 | Vocabulary display method and device, electronic equipment and storage medium |
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