KR102200563B1 - Method for measuring general language ability using parent report, device and computer readable medium for performing the method - Google Patents

Abstract

A language evaluation method using parental-reported evaluation data according to an embodiment of the present invention outputs question information for evaluating the language ability of a measurement target for each predetermined area, receives evaluation data, and receives evaluation data according to the evaluation data. The current language ability of the measurement target is measured based on the score for each area calculated based on the score information, and the future language ability of the measurement target may be predicted based on the scores for at least two areas of the plurality of areas.

Description

Language evaluation method using parental report-type evaluation data, device and recording medium for performing this {METHOD FOR MEASURING GENERAL LANGUAGE ABILITY USING PARENT REPORT, DEVICE AND COMPUTER READABLE MEDIUM FOR PERFORMING THE METHOD}

The present invention relates to a language evaluation method using parental-reported evaluation data, an apparatus for performing the same, and a recording medium, and more particularly, a method using parental-reported evaluation data for reliably measuring the language ability of a measurement object by a simple method. It relates to a language evaluation method, an apparatus for performing the same, and a recording medium.

The parental questionnaire is an effective test tool in that parents can examine the overall language development ability by providing a wide range of background information on the child's language ability (Rosenbaum & Simon, 2016).

A number of previous studies have suggested that the information provided by parents may be subjective opinions, but accurately report the child's language ability, and that only the parent report can assess the level of language development of the child. The reliability was verified (Bennetts et al., 2016; Bzoch et al., 2003; Han et al., 2002; Kim et al., 2003; Machado et al., 2014; Pae & Kwak, 2011).

In particular, in Hong (2014)'s study, information on children's language development provided by parents is the best tool to grasp a child's current language ability, and in Rescorla and Achenbach (2001), a parent-reported questionnaire was used for 2 years old. It has been reported that it can predict the vocabulary and word combination ability of children with language development retardation in Korea.

Therefore, as a tool for screening children with language development retardation, a questionnaire reported by parents or teachers has been standardized and used in educational and clinical settings (Boniffaci et al., 2016).

However, in the prior art, the parent's analog method is predominantly based on the questionnaire, and when the child's language ability is measured only by the parent's subjective evaluation, the measurement result is distorted due to incorrect evaluation, thereby ensuring the reliability of the measurement result. There is a limit that it cannot be done.

Korean Patent Publication No. 10-2014-0105112 Korean Patent Publication No. 2002-0092084

One aspect of the present invention is a language evaluation method using parental-reported evaluation data for reliably evaluating the language ability of an infant, which is difficult to measure by a normal method due to the lack of language development, and a device for performing the same And a recording medium.

The technical problem of the present invention is not limited to the technical problem mentioned above, and other technical problems that are not mentioned will be clearly understood by those skilled in the art from the following description.

In the language evaluation method using parental-reported evaluation data according to an embodiment of the present invention, question information for evaluating the language ability of a measurement object is output for each predetermined area, and evaluation data for the measurement object is received, and the The evaluation data is converted into score information corresponding to the question information, and the current language ability of the measurement target is measured based on the score for each area calculated based on the score information, and an area for at least two areas among a plurality of areas The future language ability of the measurement target is predicted based on the star score.

The area is a first area consisting of question information for evaluating milestones for initial language development and physical development of the measurement target, and a first area consisting of question information for comparing the current language ability of the measurement target with other groups of the same age group. It may include a second area, a third area including question information for evaluating the behavior pattern and preferred activity of the measurement subject, and a fourth area including question information for evaluating the family history related to language development of the measurement subject.

Predicting the future language ability of the measurement object may include a score for each first area for the first area, a score for each second area for the second area, a score for each third area for the third area, and the second area. It may be to predict the future language ability of the measurement target based on at least two scores for each of the fourth areas for the 4 areas.

Predicting the future language ability of the measurement object may be predicting the future language ability of the measurement object based on a result of comparing the ratio of the score for each second area and the score for each third area with a predetermined reference section. have.

Predicting the future language ability of the measurement target may be different from the score for each region of the second region, the score for each region of the third region, and the score for each fourth region based on the calculated score for each first region. It may include setting weights.

The setting of the different weights is, when it is determined that the score information of the question information for the stepping period among the plurality of question information included in the first region is lower than the score information of the question information for the first word period, the second The weight set for each area score may be set higher than the weight set for the third area score.

The setting of the different weights means that when the score for each first area is less than a preset threshold, the weight set for the score for each fourth area is greater than the weight set for the score for each second area and the score for each third area. It can be set high.

To predict the future language ability of the measurement target, the scores for each area are extracted according to the size of the score among the scores for each area, and the sum of the extracted scores for each area and the sum of the scores for all areas are calculated. It may be to predict the future language ability of the measurement target according to a result of comparison with a predetermined reference section.

In addition, in the computer-readable recording medium according to an embodiment of the present invention, a computer program for performing a language evaluation method using parental report-type evaluation data according to the present invention may be recorded.

In addition, a language evaluation device using parental-reported evaluation data according to an embodiment of the present invention includes a question information output unit for outputting question information for each predetermined area for evaluating the language ability of a measurement object, and A score information conversion unit that receives evaluation data and converts the evaluation data into score information corresponding to the question information, and measures the current language ability of the measurement target based on scores for each area calculated based on the score information And a prediction unit that predicts the future language ability of the measurement target based on scores for at least two of the sub and the plurality of regions.

According to one aspect of the present invention described above, it is possible to predict the current language ability of the measurement object and the future language ability based on the current language ability level based on response information input from a third party related to the measurement object. Even if a young infant, which is difficult to directly evaluate, is set as a measurement target, it can provide highly reliable evaluation results.

1 is a block diagram showing a schematic configuration of a language evaluation apparatus using parental-reported evaluation data according to an embodiment of the present invention.
2 is a chart showing an example of a result of measuring language ability by age.
Is a flow chart showing a schematic flow of a language evaluation method using parental-reported evaluation data according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE INVENTION The detailed description of the present invention described below refers to the accompanying drawings, which illustrate specific embodiments in which the present invention may be practiced. These embodiments are described in detail sufficient to enable a person skilled in the art to practice the present invention. It is to be understood that the various embodiments of the present invention are different from each other but need not be mutually exclusive. For example, specific shapes, structures, and characteristics described herein may be implemented in other embodiments without departing from the spirit and scope of the present invention in relation to one embodiment. In addition, it is to be understood that the location or arrangement of individual components within each disclosed embodiment may be changed without departing from the spirit and scope of the present invention. Accordingly, the detailed description to be described below is not intended to be taken in a limiting sense, and the scope of the present invention, if properly described, is limited only by the appended claims, along with all scopes equivalent to those claimed by the claims. Like reference numerals in the drawings refer to the same or similar functions over several aspects.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the drawings.

1 is a block diagram showing a schematic configuration of a language evaluation device (hereinafter referred to as a language evaluation device 1) using parental-reported evaluation data according to an embodiment of the present invention.

The language evaluation apparatus 1 according to the present invention outputs question information for evaluating the language ability of a measurement object (especially a child), and is based on response information input from a third party (eg, a parent of the child) related to the measurement object. Thus, it is possible to predict the future language ability based on the current language ability of the measurement target and the level of the current language ability.

In particular, in order to improve the reliability of the measurement result, the language evaluation apparatus 1 according to the present invention assigns different weights to subjectively created evaluation data (response information), and based on the evaluation data for specific question information. The importance of question information that is related or not related to the question information can be changed in real time.

Specifically, the language evaluation apparatus 1 according to an embodiment of the present invention includes a question information output unit 100, a score information conversion unit 200, a measurement unit 300, and a prediction unit 400.

At this time, the language evaluation device 1 according to the present invention may be a mobile or fixed device. The device 1 may be in the form of a server or an engine, and may be a device, an apparatus, a terminal, a user equipment (UE), a mobile station (MS), or a wireless device ( wireless device), handheld device, etc.

In addition, the language evaluation apparatus 1 may be implemented by more components than the components illustrated in FIG. 1, and may be implemented by fewer components. Alternatively, in the language evaluation device 1, at least two of the question information output unit 100, the score information conversion unit 200, the measurement unit 300, and the prediction unit 400 are integrated into one component. One component may perform complex functions. Hereinafter, the above-described components will be described in detail.

The question information output unit 100 may output question information for evaluating the language ability of the measurement target.

Here, the question information may be defined as a question for obtaining information on a result of observing the measurement object by a user closely related to the measurement object, for example, the parent of the measurement object. For example, the question information may be generated in a form such as'When did your child start walking?','Does your child read books or do you like your parents to read?'

That is, the question information output from the question information output unit 100 according to the present invention is not a question directly answered by the measurement target (for example, a child), but a language for the measurement target from a third party who frequently observes the measurement target. It can be created in the form of a question to collect information about ability development. Therefore, the language evaluation apparatus 1 according to the present invention can provide a highly reliable evaluation result even if a young infant, which is difficult to directly evaluate in a clinical field, is set as a measurement target.

The question information output unit 100 may store a plurality of question information in advance, and the plurality of question information may be grouped by area and stored in a classified state. Specifically, the question information output unit 100 may classify the question information into any one of a first area, a second area, a third area, and a fourth area.

The first area may be an area composed of question information for evaluating milestones for initial language development and physical development of the object to be measured. For example, the first area may consist of a total of 4 question information, and question information for measuring the past ability of the object to be measured from multiple angles, such as a stepping period, a first word utterance period, and a combination period of two words may be included. .

According to dynamic system theory (Kamm et al., 1990) among the various theories to explain child development, motor function, language development, and cognitive ability depend only on the maturity of the central nervous system (CNS). Therefore, they did not develop independently, and it was reported that physical development and language ability were closely related to each other. In addition, in other previous studies examining the relationship between motor function and language ability, motor skills are related to the movement of the motor organs involved in speech production before the first word is calculated, and children can interact with others. It is said that new motor skills can be acquired through opportunities (Darrah et al., 2003; Iverson, 2010). Also, in the present invention, question information for examining the relationship between physical development and language ability may be output based on the results of previous studies that a child with language development retardation is slower to walk than a normal child.

In this way, the question information output unit 100 may divide and manage question information for measuring the past ability of the measurement object from various angles, such as an initial physical development period, a first word utterance period, and a two word combination period, into the first area. have.

The second area may be an area composed of question information for comparing the current language ability of the measurement target with other groups of the same age group. Specifically, the second area may be composed of question information for inquiring about the satisfaction of parents with the child's current language level, such as expression ability, articulation ability, communication ability, and sentence composition ability of the object to be measured.

That is, if the first area is composed of question information about past developments of the measurement target, the second area may be composed of question information for evaluating the current ability of the measurement target. If the child is an older preschooler or a lower grade elementary school child, it may be difficult for parents to recall the child's past language level after a long period of time, so the second area focuses on the current language level, not the child's past language ability. It can be composed of question information that can score parents' subjective feelings about the current language level, including tailored questions.

At this time, it is not easy for parents to have specialized knowledge in each field of language because they do not receive specialized training, such as to evaluate language ability, unlike experts such as speech therapists. Therefore, the question information output unit 100 does not include detailed questions for evaluating the level of each language area in the current language level area, but instead roughly compares the language level of peers and children, so that parents frequently Question information inducing to report the language ability of the observed child may be generated as question information in the second area.

For example, the second area is'How accurately does your child express his or her intention compared to other children of his age?','How much is your child's pronunciation compared to other children's pronunciation accuracy? It can be composed of question information such as'Do you pronounce it correctly?'

The third area may be an area composed of question information for evaluating the behavior pattern and preferred activity of the measurement target. Specifically, the third area is composed of question information that can assess the child's cognitive ability and learning ability, such as reading preference, reading/writing ability, preferred physical activity, learning efficiency, preferred activity pattern, and propensity for communication. I can. For example, the third area could be'Does your child like to read or an adult reads?','Does your child use actions instead of words?' It is composed of question information such as, etc., and information on behavior patterns and preferred activities of the object to be measured can be obtained through evaluation data of parents.

When a therapist or researcher directly evaluates a child, it helps parents understand the child by providing insightful information about areas that cannot be immediately identified in the field. The main purpose is to obtain information about children's language development through parental reports, but the results of a study showing that children with language development retardation show different patterns from ordinary children in other non-verbal areas (Chun & Yim, 2017; Leonard, 1998). ; As Yang et al., 2015; Yim et al., 2015, 2016b) have been continuously reported, questions are included to check whether there is any specificity in non-verbal factors compared to ordinary children. Paradis and researchers (2010) reported that the difference in scores between general and language development retardation groups in the'question on children's behavior patterns' was statistically significant, and the group at risk of language development delay may have cognitive difficulties, which may increase language skills. It was argued that it was a sign that could be measured. Accordingly, the question information output unit 100 outputs the question information on the behavior pattern of the child in the third area in addition to the question information for evaluating the language ability, so that the language evaluation apparatus 1 according to the present invention Factors that can affect language development in terms of cognitive-behavioral development can be considered.

Finally, the fourth area may be an area composed of question information for evaluating a family history related to language development of the measurement target. The fourth area may be composed of question information for acquiring information on the family history related to language development of the object to be measured, such as a family member's educational level, learning and language development family history.

Bishop and his team (1995) reviewed the genetic factors of language development retardation in twins and found that genetic factors and parents' educational background are very important factors that cause language development retardation. In a study conducted by Lewis and his team (1989), children with delayed phonological development showed phonological development delay in their siblings, and the rate of appearance of phonological development delay within these siblings was statistically significantly higher than that of ordinary children and their siblings. I did. In addition, Tomblin et al. (1997) reported that parents of children with language development retardation had lower educational training and higher rates of reporting language and learning disabilities than parents of ordinary children.

In order to reflect these research results, the question information output unit 100 provides question information about the parents' academic ability and the language development of the measurement target when evaluating the language of the measurement target, such as'Did all family members graduate from high school?' Question information on whether there is a related family history can be generated and classified into the fourth area.

In this way, the question information output unit 100 includes a first area composed of question information for evaluating milestones for initial language development and physical development of the target to be measured, and the current language ability of the target to be measured. A second area consisting of question information for comparison with the group, a third area consisting of question information for evaluating the behavior patterns and preferred activities of the object to be measured, and question information for evaluating the family history related to language development of the object to be measured. It can be managed by dividing it into any one of 4 areas. Thereafter, when the process of measuring the language ability of the object to be measured is started, the question information output unit 100 may output the question information in the order of a predetermined output order, for example, a first area-a second area-a third area-a fourth area. .

The score information conversion unit 200 may receive evaluation data input from a third party (hereinafter, referred to as a user) related to the measurement target with respect to the output question information, and convert it into score information for the corresponding question information.

The score information conversion unit 200 according to the present invention may convert the abstract feeling of a parent about child language development for each question information into objective data, different from the conventional questionnaire method.

As an example, the score information conversion unit 200 presents four options such as'very yes','that is','normal', and'no' for each question information to the user, and is selected from the user. Any one option can be converted into score information. That is, the score information conversion unit 200 may generate three points of score information for the question information when receiving evaluation data in which the user selects an option of'very yes' for specific question information. Conversely, when the score information conversion unit 200 receives evaluation data that the user selects the option of'no' for specific question information, the score information for the question information may be generated as 0 points.

As another example, the score information conversion unit 200 may analyze voices constituting the evaluation data and convert the result into score information.

Specifically, instead of providing a predetermined option, the score information conversion unit 200 may receive evaluation data for question information from a user in the form of voice data. The score information conversion unit 200 may estimate the meaning of the speech data using a pre-learned artificial neural network, and convert the abstract evaluation data into an objective score between 0 and 3 according to the meaning of the estimated speech data. .

In this way, the score information conversion unit 200 may calculate a score for each area for each area whenever it is confirmed that evaluation data for all question information included in any one area has been received. For example, when it is confirmed that the evaluation data for each of the question information included in the first area has been received in a predetermined order, the score information conversion unit 200 converts the received evaluation data into score information, and By summing it, a score for each first region (a score for each first region) may be calculated. In this way, the score information conversion unit 200 may calculate a score for each second area for the second area, a score for each third area for the third area, and a score for each fourth area for the fourth area. .

Meanwhile, the score information conversion unit 200 may give different weights to scores for each area. Details related to this will be described later.

The measurement unit 300 may measure the current language ability of the measurement target based on the score for each area calculated for each area. In this regard, it will be described with reference to FIG. 2.

2 is a chart showing an example of a result of measuring language ability by age.

As illustrated, the measurement unit 300 may store a statistical result of measuring language ability by age as reference data.

For example, it can be seen that the second-year-old group earned an average of 10.61 points (standard deviation 3.25 points) in the second field, which is the current language development ability, and the 5-year-old group scored 14.31 points (standard deviation 2.13 points), which were improved. You can see that you get it. Also, the measurement unit 300 may pre-store reference data for scores for each area for the normal group NL and the language development retardation group LD.

Accordingly, the measurement unit 300 may relatively estimate the language ability of the measurement target for the same age group by comparing the scores for each area of the measurement target generated by the score information conversion unit 200 with reference data.

In the drawing, the results of measuring language ability according to the language evaluation method using the parent-reported evaluation data according to the present invention to be described later for the 2-year-old group and the 5-year-old group are shown, but are not limited thereto. Further statistical data for age groups may be included.

The prediction unit 400 may predict the future language ability of the measurement target by using the calculated score for each area.

Specifically, the prediction unit 400 calculates the ratio of the score for each second area and the score for each third area among the calculated scores for each area, and compares the calculated result value with a predetermined reference period. Predict your future language skills. For example, if the prediction unit 400 determines that the ratio of the score for each second area and the score for each third area for the second generation measurement target is included in the first reference section having a value between 0 and 1, the future At the time point (eg, 3 years old), predictive information can be generated that will reach a level similar to the average language ability of the same age group. On the other hand, if it is determined that the ratio of the score for each second area and the score for each third area is included in the second reference section having a value between 1 and 2, the prediction unit 400 is Even if you have a person, you can generate predictive information that a lower language ability than the same age group will be expected in the future.

However, the above-described evaluation result is only an example for convenience of explanation, and it goes without saying that the evaluation result may be changed to other results depending on the age of the measurement target and the evaluation environment.

Meanwhile, in the process of predicting future language ability performed by the prediction unit 400, the above-described score information conversion unit 200 may assign different weights to scores for each area.

Specifically, the score information conversion unit 200 is based on the score for each first area calculated after all of the question information included in the first area is output, the score for each area of the second area and the score for each area of the third area. And different weights may be set for scores for each of the fourth areas.

For example, if the score information conversion unit 200 determines that the score information of the question information for the stepping period among the plurality of question information included in the first area is lower than the score information of the question information for the first word period, the The weight set for the score for each second area may be set higher than the weight set for the score for each third area.

That is, if it is determined that the step of the measurement object is later than the time when the first word was uttered, the score information conversion unit 200 may determine that the measurement object has developed a physical ability rather than a language ability in the past. At this time, the score information conversion unit 200 includes score information of the second area, that is, the score for each second area and the current body for measuring the current language ability so that the current language ability and physical ability can be evaluated in connection with the past developmental level. Different weights may be assigned to scores for each third area measuring ability.

As another example, when the score for each first area is less than a preset threshold, the score information conversion unit 200 increases the weight set for the score for each fourth area than the score for each second area and the score for each third area. Can be set.

In this case, the prediction unit 400 extracts the scores for each of the two areas with the highest score among the scores for each of the plurality of areas, and determines the ratio of the sum of the extracted scores for each area and the scores for all areas in a predetermined reference section. According to the result of comparing with, it is possible to predict the future language ability of the measurement target.

Accordingly, the prediction unit 400 may reliably predict the future language ability of the measurement target.

3 is a flowchart illustrating a schematic flow of a language evaluation method using parental-reported evaluation data according to an embodiment of the present invention.

The language evaluation method using the parental-reported evaluation data according to the present invention to be described later may be performed by the language evaluation apparatus 1 according to the present invention. To this end, in the language evaluation apparatus 1 according to the present invention, an application (software) for performing each step of configuring a language evaluation method using parental report-type evaluation data to be described later may be installed in advance. For example, on the user's smartphone, a platform for a language evaluation method using parental reporting evaluation data according to the present invention may be pre-installed in the form of an application, and the user may execute an application installed on the smartphone and use the present invention. Various services provided by the virtual reality-based disaster evacuation education method can be provided.

The language evaluation apparatus 1 may output question information for evaluating the language ability of the measurement target for each predetermined area (31).

The language evaluation device 1 stores a plurality of question information in an initial milestone area (a first area), a current language level area (a second area), a behavior pattern and a preferred activity area (a third area), and a family history related to language development. It is classified as (4th area), and when measurement starts, question information classified as the first area may be sequentially output.

The language evaluation apparatus 1 may receive evaluation data for each question information and convert the award evaluation data into score information corresponding to the question information (32). The language evaluation apparatus 1 may calculate score information for each area using score information generated for each question information. In addition, the language evaluation apparatus 1 may calculate the total score by summing all score information for each area.

The language evaluation apparatus 1 may measure the current language ability of the measurement target based on the calculated score for each area (33). At the same time, the language evaluation apparatus 1 may predict the future language ability of the measurement target based on scores for at least two of the plurality of areas for each area (34). Since detailed information on the measurement of the current language ability and the prediction of the future language ability has been described above with reference to FIGS. 1 and 2, a repeated description will be omitted.

Such a technique for providing a language evaluation method using parental report-type evaluation data may be implemented as an application or implemented in the form of program instructions that can be executed through various computer components and recorded in a computer-readable recording medium. The computer-readable recording medium may include program instructions, data files, data structures, etc. alone or in combination.

The program instructions recorded in the computer-readable recording medium may be specially designed and constructed for the present invention, and may be known and usable to those skilled in the computer software field.

Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical recording media such as CD-ROMs and DVDs, and magnetic-optical media such as floptical disks. media), and a hardware device specially configured to store and execute program instructions such as ROM, RAM, flash memory, and the like.

Examples of the program instructions include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device may be configured to operate as one or more software modules to perform processing according to the present invention, and vice versa.

Although the above has been described with reference to embodiments, those skilled in the art will understand that various modifications and changes can be made to the present invention without departing from the spirit and scope of the present invention described in the following claims. I will be able to.

Although the above has been described with reference to embodiments, those skilled in the art will understand that various modifications and changes can be made to the present invention without departing from the spirit and scope of the present invention described in the following claims. I will be able to.

100: question information output unit
200: score information conversion unit
300: measurement unit
400: prediction unit

Claims (10)

The question information for evaluating the language ability of the object to be measured is output by predetermined area through the question information output unit,
The score information conversion unit receives evaluation data for the measurement object and converts the evaluation data into score information corresponding to the question information,
The measurement unit measures the current language ability of the measurement target based on the score for each area calculated based on the score information,
The prediction unit predicts the future language ability of the measurement target based on the scores for at least two of the plurality of areas for each area,
In the question information output unit, a plurality of question information is classified into a first area, a second area, a third area, and a fourth area, and stored in a grouped state for each area,
Each area in which the question information is grouped,
A first area consisting of question information for evaluating milestones for initial language development and physical development of the measurement target, a second area consisting of question information for comparing the current language ability of the measurement target with other groups in the same age group, the A third area consisting of question information for evaluating the behavior pattern and preferred activity of the measurement object and a fourth area consisting of question information for evaluating the family history related to language development of the measurement object,
In the prediction unit, predicting the future language ability of the measurement object,
At least two of a first area-specific score for the first area, a second area-specific score for the second area, a third area-specific score for the third area, and a fourth area-specific score for the fourth area Predicts the future language ability of the measurement target based on the scores for each area,
In the prediction unit, predicting the future language ability of the measurement object,
And setting different weights to the scores for each region of the second region, the scores for each region of the third region, and the score for each fourth region based on the calculated first region scores,
In the prediction unit, predicting the future language ability of the measurement object,
Predicting the future language ability of the measurement target according to which section of the plurality of reference sections each set for each age group of the measurement target is the ratio of the score for each second area and the score for each third area,
Language evaluation method using parent-reported evaluation data.
delete delete delete delete The method of claim 1, wherein setting the different weights,
When it is determined that the score information of the question information for the stepping period among the plurality of question information included in the first region is lower than the score information of the question information for the first word period, the weight set for the score for each second region is 3 Language evaluation method using parental-reported evaluation data to set higher than the weight set in the score for each area.
The method of claim 1, wherein setting the different weights,
When the first area-specific score is less than a preset threshold, the weight set for the fourth area-specific score is set higher than the weight set for the second area-specific score and the third area-specific score. Language evaluation method using evaluation data.
The method of claim 1, wherein predicting the future language ability of the measurement object,
The measurement is based on the result of extracting the scores for each area according to the size of the score among the scores for each area, and comparing the sum of the extracted scores for each area and the sum of the scores for all areas with a predetermined reference period. Language evaluation method using parental-reported evaluation data to predict the subject's future language ability.
A computer-readable recording medium having a computer program recorded thereon for performing a language evaluation method using the parental-reported evaluation data according to any one of claims 1, 6 to 8.
A question information output unit for outputting question information for each predetermined area for evaluating the language ability of the measurement target;
A score information conversion unit for receiving evaluation data for the measurement object and converting the evaluation data into score information corresponding to the question information;
A measuring unit measuring the current language ability of the measurement target based on the score for each area calculated based on the score information; And
A prediction unit for predicting the future language ability of the measurement target based on scores for at least two of the plurality of areas,
In the question information output unit, a plurality of question information is classified into a first area, a second area, a third area, and a fourth area, and stored in a grouped state for each area,
Each area in which the question information is grouped,
A first area consisting of question information for evaluating milestones for initial language development and physical development of the measurement target, a second area consisting of question information for comparing the current language ability of the measurement target with other groups of the same age group, the A third area consisting of question information for evaluating the behavior pattern and preferred activity of the measurement object and a fourth area consisting of question information for evaluating the family history related to language development of the measurement object,
The prediction unit,
At least two of a first area-specific score for the first area, a second area-specific score for the second area, a third area-specific score for the third area, and a fourth area-specific score for the fourth area Predict the future language ability of the measurement target based on the scores for each area,
Different weights are set for each region score of the second region, the region score of the third region, and the fourth region score based on the calculated first region score,
Predicting the future language ability of the measurement target according to which section of the plurality of reference sections each set for each age group of the measurement target, the ratio of the score for each second area and the score for each third area,
Language evaluation device using parental reporting evaluation data.

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