CN107590129B - Vocabulary testing method capable of checking result at any time, testing system and mobile testing terminal thereof - Google Patents

Vocabulary testing method capable of checking result at any time, testing system and mobile testing terminal thereof Download PDF

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CN107590129B
CN107590129B CN201710875496.0A CN201710875496A CN107590129B CN 107590129 B CN107590129 B CN 107590129B CN 201710875496 A CN201710875496 A CN 201710875496A CN 107590129 B CN107590129 B CN 107590129B
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曹译珑
岳校
谭锦钿
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Qingyuan Momo Education Technology Co ltd
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Abstract

The invention relates to a vocabulary quantity testing method capable of checking results at any time, a testing system and a mobile testing terminal thereof.A vocabulary in a database is sequenced and partitioned, a vocabulary quantity is extracted from each partition for a tester to test, a temporary vocabulary quantity is obtained according to the testing result of the tester, a testing area is re-determined in the positive and negative amplification of the testing result of the previous round after one round is finished, the interval is divided into intervals which are one more than the interval of the previous round, then a vocabulary quantity is extracted from each partition for the tester to test, and the test is continued according to the rule until the vocabulary quantity of each interval is 40 after the division, so that the final testing result is obtained. The invention is characterized in that the tester can check the result at any time after finishing the test at any time, and the higher the accuracy along with the increase of the tested vocabulary, the more convenient the vocabulary of the tester is obtained.

Description

Vocabulary testing method capable of checking result at any time, testing system and mobile testing terminal thereof
Technical Field
The invention relates to the technical field of computers, in particular to a vocabulary quantity testing method capable of checking results at any time, a testing system and a mobile testing terminal thereof.
Background
Currently, a computer tool is needed to assist in learning a language, for example, the language level of a learner is evaluated through a computer, so that the learner can conveniently master the learning progress of the learner, and the learner can reasonably arrange a learning task; the learner can also be helped to discover the micro-progress by checking the degree of learning to ride at any time, and the learner is encouraged. However, in the prior art, the level test of the learner on the learning language is very complex, which is particularly characterized in that the test takes a long time (for example, a set of assessment test paper needs to be completely made, and the assessment questions are difficult and time and energy are wasted), the test result is not easy to be given in real time, the test is often unwilling to be carried out by the learner due to too long time consumption, and the test method is not practical; the existing test scheme is usually combined with various types of test questions (such as blank filling, options, reading comprehension and the like), and the learning degree of a learner is seemingly examined in many aspects, but the existing test scheme is too troublesome in practice, and basically no one is willing to develop the time-consuming and labor-consuming evaluation mode only for knowing the current learning level of the learner. Some self-help suggested test schemes are provided, namely, evaluation is only carried out through option questions, but the evaluation needs to be carried out through a whole set of evaluation program to obtain an accurate evaluation result, the accurate evaluation result cannot be abandoned halfway, and if the evaluation program exits halfway, the result has no reference value; in addition, the evaluation result obtained after the evaluation is finished is only a relatively accurate evaluation result, the evaluation result cannot be further accurately evaluated, and if an evaluator makes a mistake, the evaluation result can be influenced absolutely, so that the evaluation mode is very limited.
Disclosure of Invention
In order to overcome the defects in the prior art, the vocabulary quantity test becomes simpler and more convenient, and the requirements of different testers can be met, the invention designs the vocabulary quantity test method capable of checking the result at any time, the test system and the mobile test terminal thereof, the test result can be obtained no matter how many words are tested by the testers, and the obtained vocabulary quantity result is more accurate along with the increase of the number of tested words.
One of the schemes adopted for realizing the purpose of the invention is as follows: a lexical quantity testing method capable of viewing results at any time, which is suitable for being executed by computer equipment and comprises the following steps:
the vocabularies in the computer database are sequentially sequenced, and the total number of the vocabularies is W0Sequentially labeling natural number sequence numbers to form a number set [1, W ] for each vocabulary0];
Sequentially outputting the vocabulary samples, providing an option set containing at least 1 positive item for each sample, and collecting selection data of at least the positive items;
sequentially outputting the vocabulary samples in the following mode:
1) sample output round 1, set of numbers [1, W ]0]Mean division into S1Set of individual intervals, S1More than or equal to 3, randomly extracting 1 vocabulary with corresponding numbers from each interval set in sequence as sample output, and collecting positive item selection data N in the first round1Calculate vocabulary of round 1
Figure BDA0001418024520000021
2) The nth sample is output, n is more than or equal to 2, and a new number set [ (1-k) × W is formedn-1,(1+k)*Wn-1]K is more than or equal to 10% and less than or equal to 50%, and the new number set is divided into SnSet of individual intervals, Sn=Sn-1+1, sequentially and randomly extracting 1 vocabulary with corresponding numbers from each interval set in sequence as sample output, and collecting the positive item selection data N of the nth roundnCalculate the vocabulary of the nth round
Figure BDA0001418024520000022
Wherein Wn-1Vocabulary for the n-1 th round;
looking at the current vocabulary of every positive item data collected, the positive item data not collected at the current turn is counted as zero.
Preferably, when the vocabulary samples are output in any round, if the vocabulary samples which are output previously are contained in a certain interval set in the round, skipping the interval set to output the samples of the next interval set; if the positive item data before the sample which has been output before is 1, the positive item selection data of the skipped interval set is accumulated as 1 into the positive item data of the current round; if the positive item data before the sample that has been output before is 0, then the positive item selection data for the skipped interval set is 0, and the positive item data for the current round is not accumulated.
Preferably, if a plurality of word samples which have been output before are included in a certain interval set, wherein b samples with 1 positive item data before are present, and c samples with 0 positive item data are present, the positive item data of the interval set is taken as the positive item data of the interval set
Figure BDA0001418024520000023
And accumulating the positive data of the current wheel.
Preferably, the current vocabulary of each positive item of data collected is calculated in real time, and the vocabulary result is displayed on the screen in an active display mode or a passive display mode after receiving a display request.
Preferably, the set of options further comprises a negative term and/or a fuzzy term.
The second scheme adopted for achieving the purpose of the invention is as follows: a vocabulary testing system for ready viewing of results, adapted to operate with a computer device, the system comprising:
sorting to form an number set module: the vocabularies in the computer database are sequentially sequenced, and the total number of the vocabularies is W0Sequentially labeling natural number sequence numbers to form a number set [1, W ] for each vocabulary0];
A collection feedback module: calling an output module to output vocabulary samples in sequence, providing an option set at least comprising 1 positive item for each sample, and collecting selection data of at least the positive items;
the vocabulary samples are sequentially output according to the following output modules:
1) sample output round 1, set of numbers [1, W ]0]Mean division into S1Set of individual intervals, S1More than or equal to 3, randomly extracting 1 vocabulary with corresponding numbers from each interval set in sequence as sample output, and collecting positive item selection data N in the first round1Calculate vocabulary of round 1
Figure BDA0001418024520000031
2) The nth sample is output, n is more than or equal to 2, and a new number set [ (1-k) × W is formedn-1,(1+k)*Wn-1]K is more than or equal to 10% and less than or equal to 50%, and the new number set is divided into SnSet of individual intervals, Sn=Sn-1+1, sequentially and randomly extracting 1 vocabulary with corresponding numbers from each interval set in sequence as sample output, and collecting the positive item selection data N of the nth roundnCalculate the vocabulary of the nth round
Figure BDA0001418024520000032
Wherein Wn-1Vocabulary for the n-1 th round;
a compensation module: looking at the current vocabulary of every positive item data collected, the positive item data not collected at the current turn is counted as zero.
Preferably, in the output module, when the vocabulary samples are output in any round, if the vocabulary samples which are output in the previous round are included in a certain interval set, the interval set is skipped to output the samples of the next interval set; if the positive item data before the sample which has been output before is 1, the positive item selection data of the skipped interval set is accumulated as 1 into the positive item data of the current round; if the positive item data before the sample that has been output before is 0, then the positive item selection data for the skipped interval set is 0, and the positive item data for the current round is not accumulated.
Preferably, in the output module, if a certain interval set contains a plurality of word samples that have been output previously, where b samples having previous positive item data of 1 and c samples having positive item data of 0 are included, the positive item data of the interval set is regarded as the positive item data of the interval set
Figure BDA0001418024520000033
And accumulating the positive data of the current wheel.
Preferably, the system further comprises a real-time settlement module: the current vocabulary of any positive item data is calculated in real time, and the result of the vocabulary is displayed on a screen in a mode of active display or passive display after receiving a display request.
The third scheme adopted for realizing the purpose of the invention is as follows: a vocabulary mobile test terminal for ready viewing of results, comprising a processor for executing instructions and a memory device for storing a plurality of instructions, characterized in that the terminal is adapted to be loaded and executed by the processor:
the vocabularies in the computer database are sequentially sequenced, and the total number of the vocabularies is W0Sequentially labeling natural number sequence numbers to form a number set [1, W ] for each vocabulary0];
Sequentially outputting the vocabulary samples, providing an option set containing at least 1 positive item for each sample, and collecting selection data of at least the positive items;
sequentially outputting the vocabulary samples in the following mode:
1) sample output round 1, set of numbers [1, W ]0]Averagely divided into 3 interval sets, and randomly extracting 1 corresponding interval set from each interval set in sequenceNumbered vocabulary is output as a sample, positive item selection data N of the first round is collected1Calculate vocabulary of round 1
Figure BDA0001418024520000041
2) The nth sample is output, n is more than or equal to 2, and a new number set [0.7W ] is formedn-1,1.3Wn-1]Averagely dividing the new number set into N +2 interval sets, randomly extracting 1 vocabulary with corresponding numbers from each interval set in sequence as sample output, and collecting the positive item selection data N of the nth roundnCalculate the vocabulary of the nth round
Figure BDA0001418024520000042
Wherein Wn-1Vocabulary for the n-1 th round;
looking at the current vocabulary of every positive item data collected, the positive item data not collected at the current turn is counted as zero.
The fourth scheme adopted for realizing the purpose of the invention is as follows: a lexical quantity testing method for viewing results at any time, comprising a processor for executing instructions and a storage device for storing a plurality of instructions, wherein the testing method is adapted to be loaded and executed by the processor:
1) sorting: will be the total vocabulary W in the database0Sorting according to word cognition degree and marking sequence number [1, W0];
2) Partitioning: averagely dividing the vocabulary in the database into 3 intervals;
3) sampling: randomly choose a word from each interval and provide 5 word interpretation options on the display: 1 correct option, 3 interference options and 1 unrecognized option for the tester to select;
4) collecting and judging: collecting option information selected by a tester, and judging the right and wrong of answers selected by the tester;
5) and (3) calculating: according to the correctness of the result, obtaining the temporary vocabulary W of the tester1=W0Correct vocabulary/tested vocabulary;
6) forming a new region: form a new vocabulary region [0.7W ]1,1.3W1];
7) Partitioning: new vocabulary region [0.7W ]1,1.3W1]Dividing into 4 intervals;
8) sampling: randomly selecting a word from each interval for the tester to test and provide, and providing 5 word explanation options on the display screen: 1 correct option, 3 interference options and 1 unrecognized option for the tester to select;
9) collecting and judging: collecting information fed back by a tester, and judging whether the tester selects an answer or not;
10) and (3) calculating: after the test is finished, according to the feedback information, obtaining the temporary vocabulary amount W2 of the tester as 0.7W1+0.6W1, and obtaining the correct vocabulary number/tested vocabulary number;
11) forming a new region: form a new vocabulary region [0.7W ]2,1.3W2];
Performing the steps 7) to 11) in multiple rounds of circulation, wherein the vocabulary quantity area formed in the next round is in the range of plus or minus 30% of the temporary vocabulary quantity in the previous round, and the vocabulary quantity area in the next round is divided into more sections than the vocabulary quantity area in the previous round until the vocabulary quantity area is divided into W0The final vocabulary is obtained in 40 intervals;
after n times of tests, a vocabulary result Wn is obtained at this time, a new vocabulary region [0.7Wn,1.3Wn ] is formed in the range of plus or minus 30% of Wn in the next time, the [0.7Wn,1.3Wn ] is divided into n +2 regions, a word is extracted from each region for a tester to test, and if the tester finishes the test, the final test result W is: 0.7Wn +0.6Wn correct vocabulary number/tested vocabulary number;
if the tester ends in the first round of testing, the final vocabulary algorithm of the calculation result is: (W)0/3) recognized vocabulary number/tested vocabulary number; if the test result of the tester in the first round is all wrong, the test result is in [1, W ]0/3]The interval is divided into 3 intervals again, and a word is randomly extracted from each interval for a tester to test; if the tester ends the test halfway, the final vocabulary of the tester is: (W)0/9)Recognized vocabulary number/tested vocabulary number.
Preferably, the tester does not select the correct answer and is deemed to not recognize the word.
Preferably, at the end of a certain round of testing, the temporary vocabulary is the final vocabulary.
The invention has the beneficial effects that: according to the vocabulary quantity testing method capable of viewing results at any time, the testing system and the mobile testing terminal, words are randomly distributed for a tester to test through a partitioning method, the vocabulary quantity result of the tester can be obtained no matter how many words are tested by the tester, the obtained vocabulary quantity result is more accurate along with the more tested words, and the defect that the testing result can be obtained only by completing the testing of all words is effectively overcome.
Detailed Description
The present invention will be further described with reference to the following embodiments.
Example 1
A lexical quantity testing method capable of viewing results at any time, which is suitable for being executed by computer equipment and comprises the following steps:
the vocabularies in the computer database are sequentially sequenced, and the total number of the vocabularies is W0Sequentially labeling natural number sequence numbers to form a number set [1, W ] for each vocabulary0];
Sequentially outputting the vocabulary samples, providing an option set containing at least 1 positive item for each sample, and collecting selection data of at least the positive items;
sequentially outputting the vocabulary samples in the following mode:
1) sample output round 1, set of numbers [1, W ]0]Mean division into S1Set of individual intervals, S1More than or equal to 3, randomly extracting 1 vocabulary with corresponding numbers from each interval set in sequence as sample output, and collecting positive item selection data N in the first round1Calculate vocabulary of round 1
Figure BDA0001418024520000051
At the same time, S1Theoretically with W0Is related to the size of, but S1And most preferably less than 8.
2) The nth sample is output, n is more than or equal to 2, and a new number set [ (1-k) × W is formedn-1,(1+k)*Wn-1]K is more than or equal to 10% and less than or equal to 50%, and the new number set is divided into SnSet of individual intervals, Sn=Sn-1+1, sequentially and randomly extracting 1 vocabulary with corresponding numbers from each interval set in sequence as sample output, and collecting the positive item selection data N of the nth roundnCalculate the vocabulary of the nth round
Figure BDA0001418024520000061
Wherein Wn-1Vocabulary for the n-1 th round;
looking at the current vocabulary of every positive item data collected, the positive item data not collected at the current turn is counted as zero.
When any round of output vocabulary samples, if a certain interval set in the round contains the vocabulary samples which are output previously, skipping the interval set to output samples of the next interval set; if the positive item data before the sample which has been output before is 1, the positive item selection data of the skipped interval set is accumulated as 1 into the positive item data of the current round; if the positive item data before the sample that has been output before is 0, then the positive item selection data for the skipped interval set is 0, and the positive item data for the current round is not accumulated.
If a certain interval set contains a plurality of word samples which are output previously, wherein b samples with the prior positive item data of 1 exist, and c samples with the positive item data of 0 exist, the positive item data of the interval set is taken as the positive item data of the interval set
Figure BDA0001418024520000062
And accumulating the positive data of the current wheel.
The current vocabulary of any positive item data is calculated in real time, and the result of the vocabulary is displayed on a screen in a mode of active display or passive display after receiving a display request.
According to the above method, let S1Make k equal to 30% for 3, and make each roundAnd (4) partitioning links, wherein the number of the protected words in each interval set is not less than 40, or the number is approximate.
Example 2
A lexical quantity testing method capable of viewing results at any time, which is suitable for being executed by computer equipment and comprises the following steps:
the vocabularies in the computer database are sequentially sequenced, and the total number of the vocabularies is W0Sequentially labeling natural number sequence numbers to form a number set [1, W ] for each vocabulary0];
Sequentially outputting the vocabulary samples, providing an option set containing at least 1 positive item for each sample, and collecting selection data of at least the positive items;
sequentially outputting the vocabulary samples in the following mode:
1) sample output round 1, set of numbers [1, W ]0]Mean division into S1Set of individual intervals, S1More than or equal to 3, randomly extracting 1 vocabulary with corresponding numbers from each interval set in sequence as sample output, and collecting positive item selection data N in the first round1Calculate vocabulary of round 1
Figure BDA0001418024520000063
At the same time, S1Theoretically with W0Is related to the size of, but S1And most preferably less than 8.
2) The nth sample is output, n is more than or equal to 2, and a new number set [ (1-k) × W is formedn-1,(1+k)*Wn-1]K is more than or equal to 10% and less than or equal to 50%, and the new number set is divided into SnSet of individual intervals, Sn=Sn-1+1, sequentially and randomly extracting 1 vocabulary with corresponding numbers from each interval set in sequence as sample output, and collecting the positive item selection data N of the nth roundnCalculate the vocabulary of the nth round
Figure BDA0001418024520000071
Wherein Wn-1Vocabulary for the n-1 th round;
looking at the current vocabulary of every positive item data collected, the positive item data not collected at the current turn is counted as zero.
When any round of output vocabulary samples, if a certain interval set in the round contains the vocabulary samples which are output previously, skipping the interval set to output samples of the next interval set; if the positive item data before the sample which has been output before is 1, the positive item selection data of the skipped interval set is accumulated as 1 into the positive item data of the current round; if the positive item data before the sample that has been output before is 0, then the positive item selection data for the skipped interval set is 0, and the positive item data for the current round is not accumulated.
If a certain interval set contains a plurality of word samples which are output previously, wherein b samples with the prior positive item data of 1 exist, and c samples with the positive item data of 0 exist, the positive item data of the interval set is taken as the positive item data of the interval set
Figure BDA0001418024520000072
And accumulating the positive data of the current wheel.
The current vocabulary of any positive item data is calculated in real time, and the result of the vocabulary is displayed on a screen in a mode of active display or passive display after receiving a display request.
According to the above method, let S1And 4, making k equal to 20%, and ensuring that the number of words protected by each interval set is not less than 30 or approximate number in each round of partition link.
Example 3
A lexical quantity testing method capable of viewing results at any time, which is suitable for being executed by computer equipment and comprises the following steps:
the vocabularies in the computer database are sequentially sequenced, and the total number of the vocabularies is W0Sequentially labeling natural number sequence numbers to form a number set [1, W ] for each vocabulary0];
Sequentially outputting the vocabulary samples, providing an option set containing at least 1 positive item for each sample, and collecting selection data of at least the positive items;
sequentially outputting the vocabulary samples in the following mode:
1) the output of the 1 st round of samples,will number set [1, W0]Mean division into S1Set of individual intervals, S1More than or equal to 3, randomly extracting 1 vocabulary with corresponding numbers from each interval set in sequence as sample output, and collecting positive item selection data N in the first round1Calculate vocabulary of round 1
Figure BDA0001418024520000073
At the same time, S1Theoretically with W0Is related to the size of, but S1And most preferably less than 8.
2) The nth sample is output, n is more than or equal to 2, and a new number set [ (1-k) × W is formedn-1,(1+k)*Wn-1]K is more than or equal to 10% and less than or equal to 50%, and the new number set is divided into SnSet of individual intervals, Sn=Sn-1+1, sequentially and randomly extracting 1 vocabulary with corresponding numbers from each interval set in sequence as sample output, and collecting the positive item selection data N of the nth roundnCalculate the vocabulary of the nth round
Figure BDA0001418024520000081
Wherein Wn-1Vocabulary for the n-1 th round;
looking at the current vocabulary of every positive item data collected, the positive item data not collected at the current turn is counted as zero.
When any round of output vocabulary samples, if a certain interval set in the round contains the vocabulary samples which are output previously, skipping the interval set to output samples of the next interval set; if the positive item data before the sample which has been output before is 1, the positive item selection data of the skipped interval set is accumulated as 1 into the positive item data of the current round; if the positive item data before the sample that has been output before is 0, then the positive item selection data for the skipped interval set is 0, and the positive item data for the current round is not accumulated.
If a certain interval set contains a plurality of word samples which are output previously, wherein b samples with the prior positive item data of 1 exist, and c samples with the positive item data of 0 exist, the positive item data of the interval set is taken as the positive item data of the interval set
Figure BDA0001418024520000082
And accumulating the positive data of the current wheel.
The current vocabulary of any positive item data is calculated in real time, and the result of the vocabulary is displayed on a screen in a mode of active display or passive display after receiving a display request.
According to the above method, let S1And 5, making k equal to 40%, and ensuring that the number of words protected by each interval set is not less than 35 or approximate number in each round of partition link.
Example 4
A lexical quantity testing method capable of viewing results at any time, which is suitable for being executed by computer equipment and comprises the following steps:
the vocabularies in the computer database are sequentially sequenced, and the total number of the vocabularies is W0Sequentially labeling natural number sequence numbers to form a number set [1, W ] for each vocabulary0];
Sequentially outputting the vocabulary samples, providing an option set containing at least 1 positive item for each sample, and collecting selection data of at least the positive items;
sequentially outputting the vocabulary samples in the following mode:
1) sample output round 1, set of numbers [1, W ]0]Averagely divided into 3 interval sets, 1 vocabulary with corresponding numbers is sequentially and randomly extracted from each interval set in sequence to be used as sample output, and positive item selection data N of the first round are collected1Calculate vocabulary of round 1
Figure BDA0001418024520000083
2) The nth sample is output, n is more than or equal to 2, and a new number set [0.7W ] is formedn-1,1.3Wn-1]Averagely dividing the new number set into N +2 interval sets, randomly extracting 1 vocabulary with corresponding numbers from each interval set in sequence as sample output, and collecting the positive item selection data N of the nth roundnCalculate the vocabulary of the nth round
Figure BDA0001418024520000091
Wherein Wn-1Vocabulary for the n-1 th round;
looking at the current vocabulary of every positive item data collected, the positive item data not collected at the current turn is counted as zero.
The vocabularies in the computer database are sequentially sequenced according to the cognitive degree or the word use frequency or the vocabulary length, for example, the teaching sequence of the vocabularies can be sequenced according to a textbook published by a relevant government department, namely the cognitive degree sequencing.
When any round of output vocabulary samples, if a certain interval set in the round contains the vocabulary samples which are output previously, skipping the interval set to output samples of the next interval set; if the positive item data before the sample which has been output before is 1, the positive item selection data of the skipped interval set is accumulated as 1 into the positive item data of the current round; if the positive item data before the sample that has been output before is 0, then the positive item selection data for the skipped interval set is 0, and the positive item data for the current round is not accumulated.
If a certain interval set contains a plurality of word samples which are output previously, wherein b samples with the prior positive item data of 1 exist, and c samples with the positive item data of 0 exist, the positive item data of the interval set is taken as the positive item data of the interval set
Figure BDA0001418024520000092
And accumulating the positive data of the current wheel.
The current vocabulary of any positive item data is calculated in real time, and the result of the vocabulary is displayed on a screen in a mode of active display or passive display after receiving a display request.
The set of options further includes a negative term and/or a fuzzy term.
According to the above method, if the tester finishes the test in the 1 st round of test and checks the test result, the vocabulary is
Figure BDA0001418024520000093
Wherein W1Is a vocabulary structure, N1Data selected for positive terms, W0Is the total vocabulary.
If the tester finishes the test after the 1 st round and checks the test result, the vocabulary is
Figure BDA0001418024520000094
Figure BDA0001418024520000095
Wherein Wn-1Is the vocabulary of round n-1.
Example 5
A vocabulary testing system for ready viewing of results, adapted to operate with a computer device, the system comprising:
sorting to form an number set module: the vocabularies in the computer database are sequentially sequenced, and the total number of the vocabularies is W0Sequentially labeling natural number sequence numbers to form a number set [1, W ] for each vocabulary0];
A collection feedback module: calling an output module to output vocabulary samples in sequence, providing an option set at least comprising 1 positive item for each sample, and collecting selection data of at least the positive items;
the vocabulary samples are sequentially output according to the following output modules:
1) sample output round 1, set of numbers [1, W ]0]Averagely divided into 3 interval sets, 1 vocabulary with corresponding numbers is sequentially and randomly extracted from each interval set in sequence to be used as sample output, and positive item selection data N of the first round are collected1Calculate vocabulary of round 1
Figure BDA0001418024520000101
2) The nth sample is output, n is more than or equal to 2, and a new number set [0.7W ] is formedn-1,1.3Wn-1]Averagely dividing the new number set into n +2 interval sets, and randomly extracting 1 vocabulary with corresponding numbers from each interval set in sequence as a sampleOutputting and collecting positive item selection data N of the nth roundnCalculate the vocabulary of the nth round
Figure BDA0001418024520000102
Wherein Wn-1Vocabulary for the n-1 th round;
a compensation module: looking at the current vocabulary of every positive item data collected, the positive item data not collected at the current turn is counted as zero.
In the output module, when any round of output vocabulary samples, if a certain interval set contains the vocabulary samples which are output previously, skipping the interval set to output samples of the next interval set; if the positive item data before the sample which has been output before is 1, the positive item selection data of the skipped interval set is accumulated as 1 into the positive item data of the current round; if the positive item data before the sample that has been output before is 0, then the positive item selection data for the skipped interval set is 0, and the positive item data for the current round is not accumulated.
In the output module, if a certain interval set contains a plurality of word samples which are output previously, wherein b samples with the prior positive item data of 1 exist, and c samples with the positive item data of 0 exist, the positive item data of the interval set is taken as the positive item data of the interval set
Figure BDA0001418024520000103
And accumulating the positive data of the current wheel.
The system also comprises a real-time settlement module: the current vocabulary of any positive item data is calculated in real time, and the result of the vocabulary is displayed on a screen in a mode of active display or passive display after receiving a display request.
Example 6
A vocabulary mobile test terminal for ready viewing of results, comprising a processor for executing instructions and a memory device for storing a plurality of instructions, characterized in that the terminal is adapted to be loaded and executed by the processor:
the vocabulary in the computer database is sequenced in sequence, and the total number of the vocabulary isAn amount of W0Sequentially labeling natural number sequence numbers to form a number set [1, W ] for each vocabulary0];
Sequentially outputting the vocabulary samples, providing an option set containing at least 1 positive item for each sample, and collecting selection data of at least the positive items;
sequentially outputting the vocabulary samples in the following mode:
1) sample output round 1, set of numbers [1, W ]0]Averagely divided into 3 interval sets, 1 vocabulary with corresponding numbers is sequentially and randomly extracted from each interval set in sequence to be used as sample output, and positive item selection data N of the first round are collected1Calculate vocabulary of round 1
Figure BDA0001418024520000111
2) The nth sample is output, n is more than or equal to 2, and a new number set [0.7W ] is formedn-1,1.3Wn-1]Averagely dividing the new number set into N +2 interval sets, randomly extracting 1 vocabulary with corresponding numbers from each interval set in sequence as sample output, and collecting the positive item selection data N of the nth roundnCalculate the vocabulary of the nth round
Figure BDA0001418024520000112
Wherein Wn-1Vocabulary for the n-1 th round;
looking at the current vocabulary of every positive item data collected, the positive item data not collected at the current turn is counted as zero.
Example 7
A lexical quantity testing method for viewing results at any time, comprising a processor for executing instructions and a storage device for storing a plurality of instructions, wherein the testing method is adapted to be loaded and executed by the processor:
1) sorting: will be the total vocabulary W in the database0Sorting according to word cognition degree and marking sequence number [1, W0];
2) Partitioning: averagely dividing the vocabulary in the database into 3 intervals;
3) sampling: randomly choose a word from each interval and provide 5 word interpretation options on the display: 1 correct option, 3 interference options and 1 unrecognized option for the tester to select;
4) collecting and judging: collecting option information selected by a tester, and judging the right and wrong of answers selected by the tester;
5) and (3) calculating: according to the correctness of the result, obtaining the temporary vocabulary W of the tester1=W0Correct vocabulary/tested vocabulary;
6) forming a new region: form a new vocabulary region [0.7W ]1,1.3W1];
7) Partitioning: new vocabulary region [0.7W ]1,1.3W1]Dividing into 4 intervals;
8) sampling: randomly selecting a word from each interval for the tester to test and provide, and providing 5 word explanation options on the display screen: 1 correct option, 3 interference options and 1 unrecognized option for the tester to select;
9) collecting and judging: collecting information fed back by a tester, and judging whether the tester selects an answer or not;
10) and (3) calculating: after the test is finished, according to the feedback information, obtaining the temporary vocabulary amount W2 of the tester as 0.7W1+0.6W1, and obtaining the correct vocabulary number/tested vocabulary number;
11) forming a new region: form a new vocabulary region [0.7W ]2,1.3W2];
Performing the steps 7) to 11) in multiple rounds of circulation, wherein the vocabulary quantity area formed in the next round is in the range of plus or minus 30% of the temporary vocabulary quantity in the previous round, and the vocabulary quantity area in the next round is divided into more sections than the vocabulary quantity area in the previous round until the vocabulary quantity area is divided into W0The final vocabulary is obtained in 40 intervals;
after n times of tests, a vocabulary result Wn is obtained at this time, a new vocabulary region [0.7Wn,1.3Wn ] is formed in the range of plus or minus 30% of Wn in the next time, the [0.7Wn,1.3Wn ] is divided into n +2 regions, a word is extracted from each region for a tester to test, and if the tester finishes the test, the final test result W is: 0.7Wn +0.6Wn correct vocabulary number/tested vocabulary number;
if the tester ends in the first round of testing, the final vocabulary algorithm of the calculation result is: (W)0/3) recognized vocabulary number/tested vocabulary number; if the test result of the tester in the first round is all wrong, the test result is in [1, W ]0/3]The interval is divided into 3 intervals again, and a word is randomly extracted from each interval for a tester to test; if the tester ends the test halfway, the final vocabulary of the tester is: (W)0/9) recognized vocabulary number/tested vocabulary number.
Preferably, the tester does not select the correct answer and is deemed to not recognize the word.
Preferably, at the end of a certain round of testing, the temporary vocabulary is the final vocabulary.
Example 8
According to a test example of embodiment 1, assuming that the total number of english words in the computer database is 12000, the words are sequentially ordered according to the teaching order of the textbook, and numbers [1,12000] are given, each corresponding to a respective word.
The first round of division divides the words into 3 areas with 1,4000]、[4001,8000]、[8001,12000]Respectively randomly selecting 1 vocabulary from each region, sequentially presenting the vocabulary to a display screen for a tester to select, wherein the given options include knowledge, unconcerned knowledge and fuzzy knowledge; if the tester chooses "know", i.e. positive, the other options are negative; assuming that the tester provides 3 words for the first round, the first 2 choices of recognition and the last 1 choice of recognition, assuming the 3 words are A1, B1, C1, the positive selection data N of the first round is collected1Count the vocabulary amount test results of round 1 ═ 2
Figure BDA0001418024520000121
If the tester finishes the test at this moment, the result is output and presented to the tester; and if the tester continues to test, carrying out the next round of partition test according to the test result of the first round.
Second round division according to the first round W18000 was expanded to form a new set of numbers [0.7 x 8000,1.3 x 8000 ]]=[5600,10400](rounding if fractional) the new number set is divided equally into 4 regions [5600,6800 ]]、[6801,8000]、[8001,9200]、[9201,10400]Respectively randomly selecting 1 vocabulary from each region and sequentially presenting the vocabulary to the screen for the tester to select, wherein 4 vocabularies are provided in the round, and B1 is assumed to be in the interval [6801,8000 ]]If the four words are A2, B2(B1), C2 and D2, because B1 is in the second interval, the interval is skipped to directly output C2 for the tester to test during the test, and because B1 is selected as the knowledge by the tester in the first round, the positive item data of the second interval is marked as 1 in the round; assuming that the tester selects unconcerned A2 and C2 and selects fuzzy recognition D2, the collected positive data N of the round2Calculate the 2 nd round test result as 1 (i.e. only the second interval is positive and the other 3 intervals are negative)
Figure BDA0001418024520000131
Figure BDA0001418024520000132
If the tester finishes the test at this moment, the result is output and presented to the tester; and if the tester continues to test, carrying out the next round of partition test according to the test result of the second round.
The third round is divided into zones according to the second round W2As a result of 6800, a new set of numbers [0.7 × 6800,1.3 × 6800 ] was formed by expanding 6800]=[4760,8840]The new number set is divided into 5 zones on average, i.e. [4760,5576 ]]、[5577,6392]、[6393,7208]、[7209,8024]、[8025,8840]Respectively randomly selecting 1 vocabulary from each region and sequentially presenting the vocabulary on a screen for a tester to select, wherein 5 vocabularies are provided in the round, and A2 is assumed to be in the interval [5577,6392 ]]B1 and C2 are both in the interval [7209,8024 ]]Then the 5 words are A3, B3(A2), C3, D3(B1 and C2), E3; in round 1B 1 was marked as cognitive, while in round 2A 2 and C2 were marked as not cognitive, assuming the tester selected cognitive for A3, cognitive for C3 and no test for E3, i.e., the tester here did not testIf the test is stopped, the positive data of the round is obtained
Figure BDA0001418024520000133
Since no positive data for E3 was collected, the positive data for E3 was noted as zero, and the 3 rd round test result was calculated as
Figure BDA0001418024520000134
Figure BDA0001418024520000135
At this time, the result is output as 7616 to be presented to the tester; if the tester continues the test, E3 is again presented to mark the tester.
The test results of the third round are calculated again according to the principle of example 1, and the next round of partition testing is continued according to the test results of the third round until the tester stops again or when the number of intervals of the round reaches (12000/40) ═ 300.
Example 9
A vocabulary testing method capable of viewing results at any time is suitable for being executed in computing equipment, and comprises the following specific steps:
1) sorting: sorting total vocabulary 9000 in the database, and marking serial numbers [1, 9000 ];
2) partitioning: averagely dividing the vocabulary in the database into 3 intervals which are respectively [1,3000], [3001,6000] and [6001,9000 ];
3) sampling: randomly choose a word from each interval and provide 5 word interpretation options on the display: 1 correct option, 3 interference options and 1 unrecognized option for the tester to select;
4) collecting and judging: collecting the knowledge and the non-knowledge information fed back by the tester, wherein the test result of the tester is 2 correct and 1 error;
5) and (3) calculating: according to the correctness of the result, obtaining the temporary vocabulary W of the tester1=9000×2/3=6000;
6) Forming a new region: forming a new vocabulary region [0.7 × 6000,1.3 × 6000], namely [4200,7800 ];
7) partitioning: dividing the new vocabulary region [4200,7800] into 4 intervals, namely [4200,5100], [5101,6000], [6001,6900], [6901,7800 ];
8) sampling: randomly choose a word from each interval and provide 5 word interpretation options on the display: 1 correct option, 3 interference options and 1 unrecognized option for the tester to select;
9) collecting and judging: collecting information fed back by a tester, and judging whether the tester selects an answer or not;
10) and (3) calculating: after the test is finished, if the test result is that 3 are recognized and 1 is not recognized according to the feedback information, the temporary vocabulary amount W2 of the tester is 4200+ (7800 and 4200) multiplied by 3/4 is 6900;
11) forming a new region: forming a new vocabulary region [4830,8970 ];
……
the vocabulary volume area formed in the next round is the range of plus or minus 30% of the temporary vocabulary volume in the previous round, and the vocabulary volume area in the next round is divided into one more interval than the vocabulary volume area in the previous round until the vocabulary volume area is divided into [9000/40], namely 225 intervals, so as to obtain the final vocabulary volume;
after m times of tests, a vocabulary result Wm is obtained at the moment, a new vocabulary area [0.7Wm,1.3Wm ] is formed in the range of plus or minus 30% of Wm in the next time, 0.7Wm,1.3Wm ] is divided into m +1 areas, a word is extracted from each area for a tester to test, and if the tester finishes the test, the final test result W is [0.7Wm + (1.3Wm-0.7Wm) × the number of vocabularies with correct results/the number of vocabularies to be tested ];
if the tester ended in the first round of testing, the result of the calculation was (9000/3 # recognized vocabulary/tested vocabulary); if the first round of test results of the tester are all errors, the tester subdivides 3 intervals in the interval [1, 9000/3], namely [1,1000], [1001,2000], [2001,3000], and randomly extracts a word from each interval for the tester to test; if the tester ends the test halfway, the vocabulary of the tester is (9000/9 # recognized vocabulary/tested vocabulary).
And if one sampling interval has a plurality of word samples, the number of recognized words in the interval is calculated according to the recognition and the unknown proportion of the words in the sampling interval. The tester, without selecting the correct answer, is deemed to not recognize the word. And when a certain round of test is finished, the temporary vocabulary is the final vocabulary.
Through the steps, a temporary vocabulary result can be obtained through each round of testing, when a tester finishes the round of testing, the temporary vocabulary result is the final vocabulary result, and the accuracy rate of the obtained vocabulary result is higher along with the increase of the number of tested words.
In various embodiments of the invention: the vocabulary quantity testing method and the testing system thereof and the mobile testing terminal which can check the result at any time are respectively provided, words are randomly distributed for a tester to test through a partitioning method, the vocabulary quantity result of the tester can be obtained no matter how many words are tested by the tester, and the obtained vocabulary quantity result is more accurate along with the more words tested, so that the defect that the testing result can be obtained only by completing the testing of all words is effectively avoided.
Variations and modifications to the above-described embodiments may occur to those skilled in the art, which fall within the scope and spirit of the above description. Therefore, the present invention is not limited to the specific embodiments disclosed and described above, and some modifications and variations of the present invention should fall within the scope of the claims of the present invention. Furthermore, although specific terms are employed herein, they are used in a generic and descriptive sense only and not for purposes of limitation.

Claims (9)

1. A lexical quantity testing method capable of viewing results at any time, which is suitable for being executed by a computer device, the method comprising:
the vocabularies in the computer database are sequentially sequenced, and the total number of the vocabularies is W0Sequentially marking natural number sequence numbers on all the vocabularies to form a number set[1,W0];
Sequentially outputting the vocabulary samples, providing an option set containing at least 1 positive item for each sample, and collecting selection data of at least the positive items;
sequentially outputting the vocabulary samples in the following mode:
1) sample output round 1, set of numbers [1, W ]0]Mean division into S1Set of individual intervals, S1More than or equal to 3, randomly extracting 1 vocabulary with corresponding numbers from each interval set in sequence as sample output, and collecting positive item selection data N in the first round1Calculate vocabulary of round 1
Figure FDA0002852950460000011
2) The nth sample is output, n is more than or equal to 2, and a new number set [ (1-k) × W is formedn-1,(1+k)*Wn-1]K is more than or equal to 10% and less than or equal to 50%, and the new number set is divided into SnSet of individual intervals, Sn=Sn-1+1, sequentially and randomly extracting 1 vocabulary with corresponding numbers from each interval set in sequence as sample output, and collecting the positive item selection data N of the nth roundnCalculate the vocabulary of the nth round
Figure FDA0002852950460000012
Wherein Wn-1Vocabulary for the n-1 th round;
looking at the current vocabulary of every positive item data collected, the positive item data not collected at the current turn is counted as zero.
2. The testing method of claim 1, wherein when outputting the vocabulary samples in any round, if the vocabulary samples that have been output before are included in a certain interval set in the round, the interval set is skipped to output the samples of the next interval set; if the positive item data before the sample which has been output before is 1, the positive item selection data of the skipped interval set is accumulated as 1 into the positive item data of the current round; if the positive item data before the sample that has been output before is 0, then the positive item selection data for the skipped interval set is 0, and the positive item data for the current round is not accumulated.
3. The test method according to claim 2, wherein if a certain interval set contains a plurality of previously outputted word samples, wherein b samples having positive item data of 1 before and c samples having positive item data of 0 before, the positive item data of the interval set is regarded as the positive item data
Figure FDA0002852950460000013
And accumulating the positive data of the current wheel.
4. The test method according to claim 1, wherein the current vocabulary of each positive item of data collected is calculated in real time, and the result of the vocabulary is displayed on the screen in an active display mode or in a passive display mode after receiving a display request.
5. A vocabulary testing system for ready viewing of results, adapted to operate with a computer device, the system comprising:
sorting to form an number set module: the vocabularies in the computer database are sequentially sequenced, and the total number of the vocabularies is W0Sequentially labeling natural number sequence numbers to form a number set [1, W ] for each vocabulary0];
A collection feedback module: calling an output module to output vocabulary samples in sequence, providing an option set at least comprising 1 positive item for each sample, and collecting selection data of at least the positive items;
the vocabulary samples are sequentially output according to the following output modules:
1) sample output round 1, set of numbers [1, W ]0]Mean division into S1Set of individual intervals, S1More than or equal to 3, randomly extracting 1 vocabulary with corresponding numbers from each interval set in sequence as sample output, and collecting positive item selection data N in the first round1Calculate vocabulary of round 1
Figure FDA0002852950460000021
2) The nth sample is output, n is more than or equal to 2, and a new number set [ (1-k) × W is formedn-1,(1+k)*Wn-1]K is more than or equal to 10% and less than or equal to 50%, and the new number set is divided into SnSet of individual intervals, Sn=Sn-1+1, sequentially and randomly extracting 1 vocabulary with corresponding numbers from each interval set in sequence as sample output, and collecting the positive item selection data N of the nth roundnCalculate the vocabulary of the nth round
Figure FDA0002852950460000022
Wherein Wn-1Vocabulary for the n-1 th round;
a compensation module: looking at the current vocabulary of every positive item data collected, the positive item data not collected at the current turn is counted as zero.
6. The system according to claim 5, wherein in the output module, when outputting the vocabulary samples in any round, if the vocabulary samples which have been output previously are included in a certain interval set in the round, the interval set is skipped to output the samples of the next interval set; if the positive item data before the sample which has been output before is 1, the positive item selection data of the skipped interval set is accumulated as 1 into the positive item data of the current round; if the positive item data before the sample that has been output before is 0, then the positive item selection data for the skipped interval set is 0, and the positive item data for the current round is not accumulated.
7. The test system according to claim 6, wherein in the output module, if a certain interval set contains a plurality of previously output word samples, wherein b samples with positive item data of 1 before and c samples with positive item data of 0 before, the positive item data of the interval set is taken as the positive item data of the interval set
Figure FDA0002852950460000023
And accumulating the positive data of the current wheel.
8. The test system of claim 5, further comprising a real-time settlement module: the current vocabulary of any positive item data is calculated in real time, and the result of the vocabulary is displayed on a screen in a mode of active display or passive display after receiving a display request.
9. A vocabulary mobile test terminal for ready viewing of results, comprising a processor for executing instructions and a memory device for storing a plurality of instructions, characterized in that the terminal is adapted to be loaded and executed by the processor:
the vocabularies in the computer database are sequentially sequenced, and the total number of the vocabularies is W0Sequentially labeling natural number sequence numbers to form a number set [1, W ] for each vocabulary0];
Sequentially outputting the vocabulary samples, providing an option set containing at least 1 positive item for each sample, and collecting selection data of at least the positive items;
sequentially outputting the vocabulary samples in the following mode:
1) sample output round 1, set of numbers [1, W ]0]Averagely divided into 3 interval sets, 1 vocabulary with corresponding numbers is sequentially and randomly extracted from each interval set in sequence to be used as sample output, and positive item selection data N of the first round are collected1Calculate vocabulary of round 1
Figure FDA0002852950460000031
2) The nth sample is output, n is more than or equal to 2, and a new number set [0.7W ] is formedn-1,1.3Wn-1]Averagely dividing the new number set into N +2 interval sets, randomly extracting 1 vocabulary with corresponding numbers from each interval set in sequence as sample output, and collecting the positive item selection data N of the nth roundnCalculate the vocabulary of the nth round
Figure FDA0002852950460000032
Wherein Wn-1Vocabulary for the n-1 th round;
looking at the current vocabulary of every positive item data collected, the positive item data not collected at the current turn is counted as zero.
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