KR20120019318A

KR20120019318A - System and method for test of vocabulary size

Info

Publication number: KR20120019318A
Application number: KR1020100082668A
Authority: KR
Inventors: 강기철
Original assignee: (주)컴퍼스미디어
Priority date: 2010-08-25
Filing date: 2010-08-25
Publication date: 2012-03-06

Abstract

PURPOSE: A system and method for testing vocabulary are provided to support customized learning for a level to a learner through a vocabulary level given. CONSTITUTION: A system(100) for testing vocabulary comprises a word data managing unit(120), a question creation unit(125), a data providing unit(115), a data receiving unit(110), an answer scoring unit(130), a vocabulary level output unit(135), and a member data managing system(140). The word data managing unit subdivides the M number of a word with the manipulation of an operator terminal into the M number of a level group of N and stores and extracts the L number of the word by level group. The question creation unit creates question data extracted by word. The data providing unit offers the question data created to a learner terminal. The data receiving unit receives answer data for the question data from the learner terminal. The answer scoring unit marks the answer data received and calculates the number of a correct answer. The vocabulary level output unit determines the vocabulary level of a learner based on the number of the correct answer calculated. The member data managing unit matches a determined vocabulary level with the data of the learner and stores.

Description

System and Method for test of vocabulary size}

The present invention relates to a vocabulary test system and method, and more particularly to a new method of vocabulary test system and method that can test the vocabulary level of learners online to support the level of learning for English learners.

In learning English, the learner's 'vocabulary size', or 'vocabulary size', is a key factor in understanding the basic structure of English usage, understanding sentence structure and context, and the natural language of language.

This vocabulary varies among students in the same grade, depending on the amount of learning. Therefore, as the learner's vocabulary is high and low, the level of English learning to be provided to the learner should also vary. In other words, it can be called effective English learning only when the customized education corresponding to the vocabulary of the learner is made.

However, schools and academies use the same textbooks to teach students with the same content. In this case, students with weak vocabulary are difficult to digest the textbook and the contents of the lecture, and students with very high vocabulary become too easy and boring. It may be.

Of course, there are some courses that are divided into beginner, intermediate and advanced classes according to students' level. When classifying students for such level-level lectures, it was common to measure the level based on test scores or 1: 1 interview with a native speaker.

However, this primitive method has a limitation in measuring and measuring learner's vocabulary. In other words, even if students are taken together in the intermediate class, the intermediate class may be difficult for students who are just out of the beginner level, and the intermediate class may be easily felt for students who are slightly below the advanced level.

In other words, it is necessary to accurately measure the vocabulary level of students to support learning according to the level so that efficient English learning can be achieved.

In recent years, due to the development of information and communication technology, it also supports English learning through the Internet or mobile. Therefore, learners can be educated through various materials in various environments. However, even in such an internet or mobile environment, since they do not accurately understand the vocabulary level of learners and provide educational materials, effective English learning is not achieved.

The present invention has been made to solve the problems of the prior art as described above, to provide a vocabulary test system and method that can accurately measure the vocabulary level of learners online to support learners according to the level. Its purpose is to.

According to the present invention, a vocabulary test method for achieving the above object is a vocabulary test method for testing a learner's vocabulary level, (a) storing the M words divided into N level groups; (B) extracting L words for each level group; (C) generating the extracted problem information for each word; (D) providing the generated problem information to a learner terminal; (E) receiving answer information on the questionnaire from the learner terminal; And (f) determining the vocabulary level of the learner based on the K, and providing the determined vocabulary level to the learner when the number of correct answers K is calculated by scoring the answer information.

Here, in step (f), the learner's vocabulary level may be determined as a value calculated by dividing the value obtained by multiplying the K and M by the value multiplied by the N and L.

In addition, in step (f), the learner's vocabulary level may be determined as a value calculated by rounding a decimal point from a value obtained by dividing K by L.

In addition, in the step (a), the M words arranged by difficulty level may be divided into N levels and divided into N level groups including the same number of words.

In the step (d), when the problem information is provided to the learner terminal, the word extracted from the problem information for the word extracted from the lowest level group (1 level group) to the highest level group (N level group). It is preferable to sequentially provide problem information about.

In addition, in the step (c), the problem information is generated as the first type, the second type and the third type according to the low and high of the level group containing the extracted word, the problem information of the first type And presenting the extracted word and selecting an image and a native language corresponding to the presented word, and the problem information of the second type is a form of presenting the extracted word and selecting a native language corresponding to the presented word. The problem information of the third type may be in the form of presenting the extracted word and selecting another word corresponding to the suggested word.

The method may further include (g) storing the determined vocabulary level by matching the learner's member information with the determined vocabulary level, and the vocabulary level matched with the member information is recommended to the learner. References can be made when providing textbooks, recommended content and learning materials.

On the other hand, the vocabulary test system according to the present invention for achieving the above object, is a vocabulary test system for testing the vocabulary level of the learner, the M words are divided into N level groups by the operation of the operator terminal and stored in the storage medium A word information operation unit extracting L words for each level group from the storage medium; A problem generation unit generating the extracted problem information for each word; An information provider for providing the generated problem information to a learner terminal; An information receiver configured to receive answer information about the problem information from the learner terminal; An answer scoring unit that scores the received answer information and calculates the number of correct answers K; A lexical level calculator configured to determine a lexical level of the learner based on the calculated number of correct answers K; And a member information manager that matches the determined vocabulary level with member information of the learner and stores the same.

According to the vocabulary test system and method according to the present invention has the following effects.

First, learner vocabulary can be accurately measured by providing a problem by processing words extracted from all level groups, receiving an answer, and measuring the vocabulary level. For example, a vocabulary-level learner who knows 5,100 words does not know all of the lower-level words and does not know all of the higher-level words. Therefore, in view of this, the present invention extracts the same number of words from all the level groups, checks whether they are recognized, and comprehensively scores them to give a vocabulary level. Therefore, the vocabulary level of the corresponding learner can be determined more precisely and accurately. There is a number.

In addition, since various types of problem information are generated and provided according to the difficulty of words, even learners of low age group or low vocabulary level can be considered in the vocabulary test. For example, a child with a low level of Korean will have a chance to test their vocabulary. Therefore, by providing problem information that includes an option including an image, it is possible to provide an opportunity for children with weak Korean language to be tested. In addition, the problem information about the words extracted from the high level group can increase the level of choice, thereby inducing the learners to comprehensively understand and learn the word usage.

On the other hand, by subdividing the vocabulary of the learner accurately measured and stored by matching the determined vocabulary level with the member information, it is possible to support customized learning for the level of the learner later.

For example, learners can recommend textbooks and content that are appropriate for their learning.

As another example, the vocabulary level appropriate to the learner's vocabulary level can be continuously learned to improve the vocabulary level. For example, a vocabulary-level learner who knows 5,100 words does not know all of the words below it. Therefore, there is a workbook that can learn the words of the last level (500 words in the 10-level group). Intervals are provided through various media (online, e-mail, smartphones, tablet PCs, etc.) at intervals, and when a certain level is reached, a higher level vocabulary level (e.g. a vocabulary level of 5,800 words is known) is upgraded. It can give you a chance to challenge.

As another example, a word list may be provided by extracting a word to be learned by a learner from a text. That is, in the prior art, a learner found a word that is not known in a fingerprint, made a vocabulary by hand by referring to a dictionary, and performed learning to improve vocabulary. However, if the vocabulary level of the learner is determined according to the present invention, the word that the learner should study from a specific fingerprint is extracted (for example, if the learner of the vocabulary level that knows 5,100 words, extracts the words included in the level group of 11 or more levels) To print the vocabulary. Therefore, learners can spend their time writing vocabulary and focus on learning to improve their vocabulary.

1 is a view for explaining a vocabulary test system according to an embodiment of the present invention.
FIG. 2 is a diagram for explaining the structure of the word information D / B shown in FIG.
3 is a view for explaining a vocabulary test method according to an embodiment of the present invention.
4 is a diagram for explaining an example in which the first type of problem information is output;
Fig. 5 is a diagram for explaining an example in which the second type of problem information is output.
Fig. 6 is a diagram for explaining an example in which the third type of problem information is output.
7 is a diagram for explaining an example of using a vocabulary test result.
8 is a view for explaining another example of using the vocabulary test results.

Hereinafter, with reference to the accompanying drawings, preferred embodiments of the present invention will be described. However, some components irrelevant to the gist of the present invention will be omitted or compressed, but the omitted elements are not necessarily required in the present invention, and may be combined and used by those skilled in the art. Can be.

In addition, each component, server, and system described below are not necessarily composed of independent components or servers that perform their respective functions. It may be shared.

1 is a view for explaining a vocabulary test system 100 according to an embodiment of the present invention.

Here, the vocabulary test system 100 may be a system for operating an online foreign language education site that supports a learner's foreign language online or may be a system associated with the system. In FIG. It shows the bay.

In addition, the learner terminal 160 used by a learner who accesses the vocabulary test system 100 and performs a test may include a computer capable of using a wired / wireless internet network or a mobile communication network, a mobile communication terminal including a smartphone, an iPad, or the like. It can be a tablet-type PC.

In addition, the operator terminal 155 accesses the vocabulary test system 100 through an internal network or a wired or wireless communication network to give a level to word information, update word information, or input learning materials to be provided to the learner terminal 160. Or a terminal that can be edited.

As shown in FIG. 1, the lexical test system 100 includes an interface unit 105, an information receiving unit 110, an information providing unit 115, a word information operating unit 120, a problem generating unit 125, and an answer. It includes a scoring unit 130, a vocabulary level calculation unit 135 and a member information operation unit 140.

The interface unit 105 is provided to connect a communication channel to transmit and receive information with the operator terminal 155 or the learner terminal 160 through a communication network such as a wired / wireless internet network or a mobile communication network.

The information receiving unit 110 receives information for classifying words from the operator terminal 155 in connection with the interface unit 105, receives word information input for updating, or provides the information to the learner terminal 160. Prepare to receive the input learning material, or to receive the member information input for membership registration from the learner terminal 160, to receive the vocabulary test request information for the vocabulary test, or to receive the answer information about the problem information do.

The information providing unit 115 is provided to provide a user interface to the operator terminal 155 and the learner terminal 160 in association with the interface unit 105. In addition, the information providing unit 115 is provided to provide the learning material to the learner terminal 160, provide problem information for the vocabulary test, or provide vocabulary level information determined according to the vocabulary test.

The word information operation unit 120 stores word information in the word information D / B 145 storing words to be used as learning materials or for vocabulary test or extracts words from the word information D / B 145. Is prepared for. For example, the word information operating unit 120 stores word information input (or edited) through the operator terminal 155 in the word information D / B 145 which is a storage medium. In addition, the word information operating unit 120 extracts words stored in the word information D / B 145 for the vocabulary test.

The structure of the word information D / B 145 in which words to be used as learning materials or used for a vocabulary test is described with reference to the example of FIG. 2.

Prior to the description, the vocabulary test system 100 according to an embodiment of the present invention is a system capable of testing vocabulary for a foreign language, and for convenience of explanation, the foreign language described below will be described using 'English' as an example. In this case, it is assumed that the mother tongue used by the learner is Korean.

That is, M words are stored in the word information D / B 145 as shown in FIG. In addition, each word is stored by matching the parts-by-speech meaning and the parts-by-speech synonym. Each word is given a level. In addition, although not shown in the figure, the synonyms matched and stored in each word are also given the level of the synonyms. For example, if a school and organization are matched and stored as a noun synonym of institute, which is a seven-level word, three levels are given to a school, and nine levels are given to an organization. The problem information may be generated by referring to the synonym when generating the problem information below. In this case, the option is to include a low level synonym among various synonyms.

According to the implementation policy of the lexical test, M words may be divided into N levels. In this embodiment, it is assumed that 15,000 words are divided into 30 levels. In other words, 15,000 words are sorted by difficulty level, divided into 30 levels, one level is assigned to 500 words belonging to the lowest difficulty level, and two levels are assigned to 500 words following it, and classified into a total of 30 level groups. do. The level classification of words may be classified by the operation of the operator terminal 155.

Here, when the vocabulary test is performed, the word information operation unit 120 extracts L words for each level group from 15,000 words for generating problem information for testing. For example, the word information operation unit 120 may extract 150 words, each of which is five at random for each level group.

The problem generating unit 125 processes the words extracted by the word information operating unit 120 to generate test information for the test. In this case, the problem information generation unit may generate a plurality of types of problem information corresponding to the level group including the extracted words. That is, in order to consider learners of low age group or low vocabulary level, when the word extracted from the low level group is generated to generate a problem, an option including an image or a native language is provided.

For example, when generating the problem information from the words extracted from the first and second level groups, the problem generator 125 presents the extracted words and selects the image corresponding to the presented words (English words) and the mother tongue (Korean) together as a choice. Provide first type problem information in a form of selecting a specific option. An example of the first type problem information generated as described above is provided to the learner terminal 160 and is shown in FIG. 4. In other words, by providing the image and the mother tongue as an option in the problem information of the first type, even young children with weak mother tongue level can participate in the test. In addition, even a self-test with a weak native language level enables accurate lexical level measurement. To this end, among the words stored in the word information D / B 145, the words included in the first and second level groups are preferably matched and stored with the image information representing the word. Of course, words included in all level groups and image information representing the word may be matched and stored.

In addition, when generating problem information using the words (English words) extracted from the 3rd and 4th level groups, the problem generator 125 presents the extracted words and selects a mother language (Korean) corresponding to the suggested words. Problem information can be generated. An example of the second type problem information generated as described above is provided to the learner terminal 160 and is shown in FIG. 5.

In addition, when generating the problem information from the word (English word) extracted from the group of five or more levels, the problem generating unit 125 presents the extracted word and selects another word (ie, a synonym) corresponding to the suggested word. You can create type problem information. An example of the third type problem information generated as described above is provided to the learner terminal 160 and output is shown in FIG. 6. That is, when the word institute is extracted at level 7, and the third type of problem information is generated using the same, the problem is to select an English word having a meaning similar to that of the institute from the choices. If is a word that is difficult for the learner to solve, it is not easy to solve the problem. Therefore, it is desirable to include words within 1 to 4 levels if possible. Therefore, the three-level school, which is a synonym that is stored in the choice among the choices included in the choice, and the three-level school among the nine-level organization, is provided as the correct answer choice. It is to provide a wrong answer option that is not included in.

The problem generating unit 125 generated as described above is provided to the learner terminal 160 in association with the information providing unit 115. In this case, the learner terminal 160 may be provided sequentially from the problem information about the words extracted from the lowest level group to the problem information about the words extracted from the highest level group. That is, first type problem information about five words extracted from the first level group is provided first, and then first type problem information about five words extracted from the second level group is provided. In the manner in which the second type problem information extracted from the 4th level group is provided, all the problem information about the words extracted from the 30th level group is provided.

The answer scoring unit 130 receives and scores the answer when the learner selects the answer to the problem information provided to the learner terminal 160. A total of 150 questions are sequentially provided to the learner terminal 160 in order of level, and answer information will also be sequentially selected. In this case, the answer scoring unit 130 may immediately score an answer each time the answer information is received. However, scoring may be performed after all 150 answer information have been received. The answer scoring unit 130 calculates the number of correct answers K when the answer scoring is completed.

The vocabulary level calculator 135 determines the learner's vocabulary level based on the number of correct answers calculated by the answer scoring unit 130. The determination of the lexical level is determined by the number of correct answers K and the number L of words extracted from each level group. For example, suppose that 15,000 words are divided into 30 level groups, 5 words are extracted for each level group, and a total of 150 questions are provided to the learner terminal 160, of which 51 questions are matched by the learner. lets do it. That is, when M = 15,000, N = 30, L = 5, and K = 51.

In this case, the vocabulary level of the learner may be determined as a value calculated by dividing a value obtained by multiplying K and M by a value multiplied by N and L. That is, (KxM) / (NxL) = (51x15,000) / (30x5) = 5,100. The calculated value of 5,100 means that the learner knows 5,100 words out of a total of 15,000 words. The reason for determining the learner's vocabulary level is because 150 questions corresponding to 1/100 of the total 15,000 words were submitted, so the value obtained by multiplying the number (K) by 100 is called the learner's vocabulary level. will be. It does not take into account the case where the learner does not match one problem (K = 0).

On the other hand, depending on the implementation, the vocabulary level of the learner may be expressed as a level. That is, it may indicate which level among the total 30 levels the learner's vocabulary level corresponds to. In this case, the lexical level of the learner may be determined as a value calculated by rounding the decimal point up from K divided by L. That is, if the decimal point is increased from 51/5 = 10.2, the learner's vocabulary level is determined to be 11 out of 30 levels. If the learner solves all 150 questions, 150/5 = 30 will be the highest level, 30 levels, and if one student solves one problem, 1/5 = 0.2 will be the lowest level 1 level. Even in this case, it is not considered if the learner fails to meet one problem.

To compare the two cases that determine the learner's vocabulary level with each other, if the vocabulary level knows 1 to 500 words correspond to level 1, if the vocabulary level knows 501 to 1000 words correspond to level 2. A vocabulary level of 14,501 to 15,000 words is equivalent to level 30.

The problem provided to the learners here is that of words extracted evenly across 30 level groups. This is to measure the learner's vocabulary level more accurately.

In other words, one example of the conventional test method is to present a problem generated based on the vocabulary found in the second textbook to test the vocabulary of the second-year middle school students. If you set it to 30% or less, you would give it a low vocabulary level. However, second-year junior high school students do not know all the words of elementary and junior high school, and not all of them are high school or university courses. Therefore, it is not a proper vocabulary test to use only the words included in some level groups or to increase the weight to provide problem information.

Therefore, in the present invention, since the problem is presented based on the words extracted from the same number in all level groups and the lexical level (level) is determined based on this, the determined lexical level (level) is as close as possible to the level of the learner. will be. In other words, even if you do not know the low-level words in the early, if you know the high-level words in the second half, considering this, the vocabulary level (level) is high.

When the learner inputs information for membership through the learner terminal 160, the member information operation unit 140 stores the information in the member information D / B 150 to build the member information. In addition, the member information management unit 140 stores the vocabulary level (or level) of the learner determined by the vocabulary level calculating unit 135 in accordance with the learner's member information, so that the learning material is adjusted according to the vocabulary level (level) of the future learner. To be provided.

In addition, the vocabulary test system 100, when the vocabulary level (level) of the learner is determined in the vocabulary level calculation unit 135, the learning material recommendation unit for recommending the learning material or content suitable for the learner ( It may also include a).

In addition, the vocabulary test system 100 may further include a learning paper generation unit (not shown) for generating and providing a learning paper for learning a vocabulary at a predetermined interval to a learner whose vocabulary level (level) is determined.

Configurations of the vocabulary test system 100 described above will be more apparent by the description of the vocabulary test method described below.

Hereinafter, a vocabulary test method according to an embodiment of the present invention will be described with reference to FIG. 3. In other words, the learner accesses the vocabulary test system 100 shown in FIG. 1 through the learner terminal 160 to perform the vocabulary test process, thereby explaining a process of determining the vocabulary level.

Prior to the description, the vocabulary test system 100 shown in FIG. 1 will be referred to as 'system 100' for convenience. In addition, it is assumed that 15,000 words are divided into 30 levels and stored in the word information D / B 145 linked to the system 100.

First, the learner accesses the system 100 through the learner terminal 160 and requests a vocabulary test <S305>. For example, the learner may request a vocabulary test by accessing an online English education site operated by the system 100 using a computer or an internet function of a mobile communication terminal. In this case, the learner may already be a member of the online education site, but even non-members can take the online vocabulary test. Learners can also take vocabulary tests by accessing a portal site or a separate independent site. Learners can also take vocabulary tests by running applications that can run vocabulary tests on smartphones or tablet PCs.

When the learner requests the test by transmitting the vocabulary test request information through the learner terminal 160, the system 100 starts a process for the vocabulary test. That is, the system 100 extracts a word for problem generation from the word information D / B 145 which is a storage medium storing words. For example, the system 100 extracts a total of 150 words, 5 for each level group, from 15,000 words divided into 30 level groups.

Thereafter, the system 100 generates extracted word-specific problem information <S315>. That is, a total of 150 problem information is generated, 5 for each level group. At this time, the system 100 generates a plurality of types of problem information corresponding to the level group including the extracted words.

For example, when the system 100 generates the problem information for each word extracted from the first and second level groups, as shown in the example of the problem information output from the learner terminal 160 shown in FIG. The first type of problem information in the form of presenting a ball, providing an image and a native language (Korean) corresponding to the proposed word, and selecting a specific option (ie, selecting a ball of 2). Create Including images in your options can provide testing opportunities for young children with low native language.

In addition, when the system 100 generates ten word-specific problem information extracted from three-level and four-level groups, as shown in the example of FIG. 5, the system 100 presents the extracted word and responds to the presented word. Second type problem information in a form of selecting a native language (Korean) (ie, selecting a school of 1) is generated. That is, the higher the level group from which the word is extracted, the higher the level of the choice.

In addition, when the system 100 generates the problem information for each of the 130 words extracted from a group of five levels or more, as shown in the example of FIG. 6, the system 100 presents the extracted institute and corresponds to the presented word. Generates third type problem information in a form of selecting another word (ie, a synonym) (ie, selecting a school of 1). In other words, the problem information about the words extracted from the high level group provides a higher level of choice so that the answer can be selected only if the understanding of the word is high. This has the effect of inducing learning to refer to the synonyms and the like in vocabulary learning.

In the third type problem information generation, if the meaning of words to be included in the selection is a word that is difficult for the learner to grasp, it is not easy to solve the problem. Therefore, it is preferable that the words included in the first to fourth level groups be included in the selection. That is, the word institute is extracted and presented at the 7th level, and a problem is generated to select an English word having a meaning similar to that of the institute. The third level of the nine-level organization is provided as the correct answer option, and the word that is not included in the institute's synonym among the 2000 words included in the first to fourth level is provided as the incorrect answer option.

Thereafter, the system 100 provides the generated problem information to the learner terminal 160 (S320). In this case, the problem information provided to the learner terminal 160 is preferably provided with problem information made of words extracted from a low level group. That is, first type problem information about five words extracted from the first level group is provided first, and then first type problem information about five words extracted from the second level group is provided. The second type problem information extracted and generated in the fourth level group is provided, and the third type problem information extracted and generated in the group after the fifth level is sequentially provided.

Meanwhile, the problem information generated by the system 100 may be generated in various ways, but the example illustrated in FIGS. 4 to 6 shows that the problem information is provided in the form of a flash.

When problem information is sequentially provided and the problem information is output to the learner terminal 160 as illustrated in FIGS. 4 to 6, the learner selects the answer information by selecting options 1, 2, and 3 corresponding to the suggested word. It transmits to the system 100 <S325>, and the system 100 receives the answer information and scores the answer <S330>.

In this case, when the system 100 provides problem information to the learner terminal 160, a time limit for solving the problem may be set. In addition, the information may further include information that guides how to solve the problem and sound effect information.

In addition, a total of 150 problem information is provided to the learner terminal 160 in order of level, and the learner solves the problem sequentially and the answer information will also be sequentially transmitted to the system 100, in which the system 100 answers The answer may be scored immediately each time information is received, but scoring may be performed after all 150 answer information has been received. If the answer is scored every time the answer information is received, the student may indicate whether the answer is correct or not, such as a sound effect or OX. But wrong answers should not give learners the opportunity to reselect.

When the system 100 scores all the answers for 150 question information, the student calculates the correct number K of correct answers (S335). The correct number K is a natural number between 0 and 150, inclusive. It is assumed that none of these cases can be solved by the learner.

Thereafter, the system 100 determines a vocabulary level based on the number of correct answers and provides it to the learner terminal 160 (S340).

The lexical level determination in the system 100 is determined by the number of correct answers K and the number L of words extracted for each level. That is, 15,000 words (M = 15,000) are divided into 30 level groups (N = 30), 5 words are extracted for each level group (L = 5), and a total of 150 questions are learned by the learner terminal 160. Suppose that the problem is provided by the learner, which is 51 (K = 51).

In this case, the vocabulary level of the learner may be determined as a value calculated by dividing a value obtained by multiplying K and M by a value multiplied by N and L. That is, (K × M) / (N × L) = (51 × 15,000) / (30 × 5) = 5,100. The calculated value of 5,100 means that the learner knows 5,100 words out of a total of 15,000 words.

On the other hand, depending on the implementation, the vocabulary level of the learner may be expressed as a level. That is, it may indicate which level among the total 30 levels the learner's vocabulary level corresponds to. In this case, the lexical level of the learner may be determined as a value calculated by rounding the decimal point up from K divided by L. That is, if the decimal point is increased from 51/5 = 10.2, the learner's vocabulary level is determined to be 11 out of 30 levels.

In other words, the vocabulary level of the learner is calculated through the result of suggesting and solving the problem of the words evenly extracted from all 30 levels. This is why learners' vocabulary is measured accurately.

In other words, in the conventional test method, students who are estimated to be at level 9 through preliminary investigation are presented with a problem based on the vocabulary included in level 9. In the case of the lower level would be considered. However, a 9th level learner does not know all the words of levels 1 to 8, and a 10th to 30th level words does not mean that they do not all know. Therefore, it is not a proper vocabulary test to use only the words included in some levels or to increase the weight to provide problem information.

Therefore, in the present invention, since the problem is presented based on the words extracted in the same number in all level groups and the lexical level is determined based on this, the determined lexical level is as close as possible to the level of the learner. In other words, even if you don't know the low level words in the early stages, if you know the high level words in the late stages, you can calculate the vocabulary level by considering them so that the learner can be given the correct vocabulary level (or level).

In addition, the determined vocabulary level of the learner may be output to the learner terminal 160 immediately after the vocabulary test process so that the learner can check. It is advisable to provide this determined vocabulary level immediately to nonmembers who only want to know what their vocabulary level is.

Alternatively, a graph or guide information representing the determined vocabulary level of the learner and a recommendation textbook information and recommended content information suitable for learning at the vocabulary level may be prepared and provided to the learner's e-mail. Of course, this may further include collecting the learner's email address before (or after) the learner's test process.

Here, the report provided to the learner may be reprocessed into a numerical or graph so that the learner's vocabulary level is compared with other reliable tests. For example, if the test determines that the learner knows 7,000 words out of 15,000 words. In the TOEIC test, which requires 3,200 words, 2,480 words can be converted into a known level.

Of course, the number of words required for the test such as TOEIC and TOEFL is different, and the difficulty of the words required for each test is also different. Therefore, when providing the converted level for other exams, the ratio of how many words you know among 15,000 is not simply provided, but the difficulty of the questions asked during the test, It is desirable to provide a result obtained by considering the difficulty or the total number and difficulty of words required for each test.

Or, if you are a student who has already enrolled or a learner who has performed the registration process for a test, the determined learner's vocabulary level is matched with the member information and stored <S345> so that the learner can check his or her vocabulary level anytime. You can do that. In this case, it is desirable to provide a report containing not only the vocabulary level of the learner but also recommendation textbook information or recommended content information which is good for learning at the vocabulary level.

In addition, the vocabulary level matched with the member information can be provided to support future learners according to the level, and after a certain amount of learning, the vocabulary level (or level) determined by the promotion test can be upgraded. .

In the above description, the process of sequentially providing all 150 questions extracted from each of the 15,000 words by 5 for each level group and calculating the vocabulary level through the correct number is described. It can also be implemented to yield lexical levels.

For example, when the correct answer rate of the learner falls below a certain level, problem information is stopped and the learner's vocabulary level is determined. That is, 150 questions extracted from each of the 15,000 words for each level group are sequentially provided, starting with a problem corresponding to the words extracted from the low level group, and receiving the answer information, and scoring is performed immediately. At this time, when more than 80% of the problems corresponding to the words extracted from a certain level group is wrong, the question is stopped and the vocabulary level is determined.

For example, for the problem information generated by the words extracted from the 1 level group and the 10 level group, the learner always corrected 2 or more of the 5 problems for each level group, and the 5 problems generated from the words extracted from the 11 level group Assuming that the information is set to 1, the system 100 ends the test without providing the problem information later, and determines the learner's vocabulary level as the previous level. In other words, the learner's vocabulary level is determined to be a vocabulary level (level 10) of 5,000 words among 15,000 words.

This is to solve the student's problem solving. In other words, learners who know 5,000 words (level 10) will be less likely to match even if they solve a problem with a higher difficulty word, and learners who need to keep checking the difficult problems afterwards will feel bored. Therefore, if you provide a problem of low difficulty, but if the correct answer rate falls below a certain percentage, the problem is automatically stopped by providing a problem to determine the vocabulary level can reduce the test grievances of learners.

As another example, the learner may directly terminate the test process. In other words, the learner will provide the answer information by sequentially checking the problem of low difficulty, but if the learner checks the problem information corresponding to the difficulty level of his or her vocabulary level, the student will feel that the problem is difficult. Therefore, when such a situation arrives, the learner may select a specific button to end the test process, and the system 100 may determine and provide the vocabulary level of the learner through answer information received until the end of the test.

Hereinafter, an application example for supporting learning using the determined vocabulary level will be described.

FIG. 7 is a view for explaining an example of supporting learning by using a vocabulary test result determined through the process of FIG. 3.

That is, the system 100 generates a workbook according to the vocabulary level of the learner so that the learner can steadily improve the vocabulary, and provides the learner terminal 160 to the learner terminal 160 for a certain period of time.

For example, a daily vocabulary form in which a learner can improve vocabulary is provided. In this case, it is preferable that the vocabulary included in the workbook is extracted from a level group having one or two levels below the level group corresponding to the vocabulary level (level) given to the learner. That is, even a learner of 11 levels (a vocabulary level that knows 5,100 words) does not know all the words of 1 to 10 levels. Therefore, it is to provide a learning paper for improving the vocabulary by extracting words of the 1 to 10 levels, because the words of the lower level may be too easy for the 11 levels of learners, the words extracted from the previous level 10 and 9 level group To create a study paper and provide it.

The workbook for improving the vocabulary may be provided on a daily, weekly or monthly basis.

In addition, the study paper may be provided when the learner accesses a site providing a service and logs in, may be provided in an e-mail form, or may be provided through an application of a smartphone or a tablet PC.

On the other hand, after the learning sheet is provided so that the learner fills a certain amount of learning, the vocabulary level (or level) can be upgraded through an upgrade test.

For example, the learner is provided to the learner every day, and when the weekend comes, the learner who completes the vocabulary learning through the workbook selects the end-learning check button <S710>.

Thereafter, the system 100 generates individual test questions based on the vocabulary included in the workbook provided to the learner, and provides the test results to the learner terminal 160. The individual test problem may also be problem information in the form shown in FIGS. 4 to 6.

When the learner checks the individual test problem output from the learner terminal 160 and selects the answer information and transmits the answer information to the system 100 (S720), the system 100 receives the answer information and scores the answer, and schedules Check if the level is above <S725>.

For example, if the system 100 provided the learner with 500 words included in the 10th level from Monday to Friday in the form of a workbook of 100 words each day, the system 100 randomly 100 of the 500 words of the 10th level in the individual test question. Create and provide individual test questions for each word. After that, the system 100 checks whether a certain level, that is, 90 or more answers have been matched through the grading, and in the case of failing to match 90 or more, the process of providing a study paper without accepting the promotion test is provided. Repeat to improve your vocabulary.

On the other hand, when the learner has matched a certain test problem more than a certain level, that is, more than 90 <S730>, the system 100 guides the vocabulary test for promotion to the learner terminal 160 (S735). In other words, since it was confirmed that the amount of learning was steadily filled by providing the work sheet, it is intended to support learners at a higher level and to instill a sense of achievement and motivation to learners by increasing the vocabulary level.

If the learner requests a vocabulary test for promotion <S740>, the system 100 proceeds to a vocabulary test for promotion <S745>. The vocabulary test process for promotion may also be performed by performing the test process illustrated in FIG. 3.

However, for a more flexible upgrade test, the problem information provided to learners during the upgrade test is based on words that were incorrectly answered during the initial test and words that were incorrectly answered during the individual test after learning through the worksheet. It is desirable that the problem be created.

8 is a diagram for explaining another example of using the vocabulary test result. That is, an example of generating and providing a vocabulary learning vocabulary customized to a learner whose vocabulary level (level) is determined through the process of FIG. 3 is illustrated.

First, the learner terminal 160 accesses the system 100, logs in, inputs or selects a text, and requests to generate a word book (S805). That is, the learner can input the fingerprint by copying the fingerprint in the form of text confirmed on the Internet and pasting it into the input window provided by the system 100. Alternatively, the system 100 performs a function of providing a learner with various contents for teaching English. Thus, the learner learns vocabulary from a fingerprint included in specific content while the learner learns English through the contents provided by the system 100. Sometimes you want to print a vocabulary. In this case, the learner may request generation of a word book through an interface provided by the content provided by the system 100.

Here, the content provided by the system 100 may be online content associated with a textbook (book type) that the learner has been learning offline. That is, the learner accesses the system 100 for learning the necessary vocabulary while learning the textbook in the form of a book, and requests the generation of the word book by finding the contents of the online textbook.

When the wordbook is requested to be generated from the learner, the system 100 checks the vocabulary level (level) through the member information of the logged-in learner.

Thereafter, the system 100 extracts a word corresponding to a learner's vocabulary level (level) or more among words included in the fingerprint input or selected by the learner, and generates the wordbook by organizing the extracted words. The generated wordbook can be output in A4 paper, and the information contained in the wordbook is preferably information that is arranged by matching English words and their meanings.

Here, learners are likely to be aware of words that fall below the vocabulary level. That is, learners of the lexical level (level 11) who know 5,100 words are more likely to know 5,000 words included in the corresponding level 1 to 10 level groups. Thus, the vocabulary that is created should be a vocabulary for learning words, that is, a list of unknown words. Therefore, it is preferable that the word extracted from the fingerprint is a word (word included in the 11th level group to the 30th level group) corresponding to the learner's lexical level (level) or more.

Thereafter, the system 100 provides the generated wordbook to the learner terminal 160 to process the output <S820>.

Preferred embodiments of the present invention described above are disclosed for the purpose of illustration, and those skilled in the art will be able to make various modifications, changes and additions within the spirit and scope of the present invention. And additions should be considered to be within the scope of the claims of the present invention.

100: Vocabulary Test System
105: interface unit
110: information receiving unit
115: information provider
120: word information operation unit
125: problem generator
130: scoring system
135: lexical level calculator
140: Member Information Management Department
145: word information D / B
150: Member Information D / B
155: operator terminal
160: learner terminal

Claims

A vocabulary test method that tests a student's vocabulary level.
(A) dividing and storing M words into N level groups;
(B) extracting L words for each level group;
(C) generating the extracted problem information for each word;
(D) providing the generated problem information to a learner terminal;
(E) receiving answer information on the questionnaire from the learner terminal; And
And (f) determining the lexical level of the learner based on the K and providing the determined lexical level to the learner when the number of correct answers K is calculated by scoring the answer information. Testing method.

The method of claim 1,
In the step (f), the vocabulary level of the learner is determined by a value calculated by dividing the value multiplied by the K and M divided by the value multiplied by the N and L.

The method of claim 1,
In the step (f), the lexical level of the learner is determined by a value calculated by rounding the decimal point from the value of K divided by L.

The method of claim 1,
In the step (a), dividing the M words arranged by difficulty into N equal parts and dividing the N words into N level groups including the same number of words.

The method of claim 1,
In the step (d), when providing the problem information to the learner terminal, the problem information for the words extracted from the lowest level group (1 level group) to the words extracted from the highest level group (N level group) Vocabulary test method characterized in that to provide problem information sequentially.

The method of claim 5,
In the step (c), the problem information is generated in the first type, the second type and the third type according to the low and high of the level group containing the extracted word,
The problem information of the first type is a form of presenting the extracted word and selecting an image and a native language corresponding to the suggested word,
The second type of problem information is a form of presenting the extracted word and selecting a native language corresponding to the suggested word,
The third type of problem information is a form of presenting the extracted word and selecting another word corresponding to the suggested word.

The method of claim 1,
(G) if the lexical level of the learner is determined, matching and storing the determined lexical level with member information of the learner;
The vocabulary level matched with the member information is stored in the vocabulary test method, characterized in that the reference is provided when providing a recommendation textbooks, recommended content and learning materials.

Is a vocabulary test system that tests the vocabulary level of learners,
A word information operation unit which divides M words into N level groups by an operation of an operator terminal and stores the M words in a storage medium, and extracts L words for each level group from the storage medium;
A problem generation unit generating the extracted problem information for each word;
An information provider for providing the generated problem information to a learner terminal;
An information receiver configured to receive answer information about the problem information from the learner terminal;
An answer scoring unit that scores the received answer information and calculates the number of correct answers K;
A lexical level calculator configured to determine a lexical level of the learner based on the calculated number of correct answers K; And
And a member information manager configured to store the determined lexical level in correspondence with the learner's member information.