KR102305395B1 - Cloud-based Thinking Action Pattern Assessment System - Google Patents

Abstract

A smart device-based cloud-based Thinking Action Pattern Assessment (TAPAA) system is disclosed. The cloud-based brain thinking behavior pattern assessment (TAPAA) system includes a user terminal of an expert for the brain thinking behavior pattern assessment (TAPAA); And connected to the user terminal through wired or wireless, the evaluation items (raw items) of a set of items for brain thinking behavior pattern analysis are evaluated by a natural language processing algorithm including a morpheme analysis program and a sentence classification program (raw items) Sentences are classified by analyzing their morphemes, and similar duplicate items in which words with high cosine similarity are selected are automatically created and verified by an expert system. to evaluate the reliability indicating whether similar replicated items are equivalent to the evaluation items (original questions) of the item set according to Includes a brain thinking behavior pattern assessment (TAPAA) system that stores,
We built a cloud and smart device-based brain thinking behavior pattern evaluation platform (TAPAA), developed an artificial intelligence automatic question creation algorithm and verification technology optimized for brain thinking behavior pattern analysis, and provided a customized learning behavior type evaluation model.

Description

Cloud-based Thinking Action Pattern Assessment System

The present invention relates to a cloud-based Thinking Action Pattern Assessment (TAPAA) system, and more particularly, to build a cloud and smart device-based brain thinking behavior pattern assessment (TAPAA) platform, It includes an evaluation item DB (item bank) for pattern analysis, natural language processing unit, similar item generation unit, expert system, evaluation and data receiving unit, and reliability evaluation unit, and intelligent item automatic generation algorithm and verification technology optimized for brain thinking behavior pattern analysis It relates to a smart device-based cloud-based brain thinking behavior pattern evaluation system that develops and provides a customized behavior type evaluation model.

Recently, as the development of technology and industry is accelerated due to the 4th industrial revolution, human psychological/psychological problems such as human loneliness and depression, discord with family, and anxiety in relationships between bosses and employees and their surroundings are deepening. As a result of this, serious social problems such as bullying, violence, suicide, and do not ask crimes occur among adolescents, and the importance of individual psychological counseling and analysis tools is being emphasized. In particular, a tool for continuous and periodic self-diagnosis and counseling, not a one-time diagnosis, and a history information management and content matching service using it are needed.

* Promotion background and necessity

(1) Characteristics of industry

The convergence industry using the human brain is a 'brain decade' declared in the United States in the 1990s, and the European Union's '10-year brain research plan' announced in 1991. It has been developed by designating it as the nation's future main industry, such as the declaration of 'the century of

In addition, as the convergence of health, education, and media fields spread in the 2000s, a new type of market is being created throughout the industry.

In the case of Indonesia, the government, universities, and companies are producing various online education platforms for the education of students and employees. The project was launched with the goal of improving the academic achievement ability of students in underprivileged areas through online education.

Current teaching and assessment methods exacerbate learning disabilities such as ADD (Attention Deficit Disorder), ADHD (Attention Deficit Hyperactivity Disorder), dyslexia and emotional handicap.

In brain science, there is a need for a method to classify individuals' brain thinking types and provide an optimal improvement direction for each type of brain thinking.

The brain thinking type characteristic evaluation technology has characteristics as a user cognitive technology before providing additional services or services that are applied to the expansion of online education and brain-related convergence industries in each country.

(2) Growth potential of the industry

The brain training market has recently attracted attention as the results of brain research are beginning to be utilized in the education and health industries. The size of the global brain training market, published in Global Cognitive Assessment and Training Market 2017-2021, Research and Marketsdp, was about $ 2 billion in 2016, and is expected to reach $ 8.1 billion in 2020 with a rapid growth of 48% per year. The domestic brain training market is estimated at 68 billion won in 2016, and is expected to grow at an annual rate of 5.74% to 85 billion won in 2020. The demand, growth potential and attractiveness of the brain training market are expected to be substantial.

Among the global markets, the Indonesian online education market, which the proposal agency is focusing on, ranked 8th in the world as of 2017. The average annual growth rate of the market is 25%, and based on that growth rate, it is estimated to have reached USD 12.2 billion (USD) in 2017. Considering that the global online education market grew 7.9% in one year in 2016, Indonesia's growth rate is very high.

Overseas, since the 1920s, European psychologists have been using self-report (evaluation) personality type tests by analyzing human behavior and thinking patterns, brain dominance areas, and the like.

Currently, there are evaluation models such as MBTI, DISC, and Egogram, which have similar characteristics in relation to the brain type test at home and abroad. Also, psychological analysis test tools such as Holland test and multiple intelligence test are mainly used for psychology.

A self-report (evaluation) type personality type test is performed by identifying individual brain characteristics, analyzing human behavior and thinking types, and brain dominance areas, and through this, elementary, middle and high school education, career selection, career exploration, social life and company The number of users and institutions is steadily increasing for job analysis and job assignment of

1 is a diagram showing the brain thinking behavior pattern evaluation TAPAA model results and INDP-A model results.

(1) Retention-based evaluation model (source technology model)

ο TAPAA (Thinking Action Pattern Analysis Assessment) is a brain thinking type assessment that evaluates the four thinking characteristics of the brain and identifies the evaluator's brain strengths and weaknesses through learning thinking types, occupational aptitude, and school It is an evaluation model developed to be used in various fields such as adaptation problems, interpersonal relationships, parent-child relationships, and corporate personnel management.

ο INDP-A (Individual Neurological Dominance Profile-Advanced) is an evaluation method that determines whether the right or left side of the eye, ear, hand, or foot is dominantly used to process learning information. It is used to determine the learning acquisition and comprehension of

ο The number of evaluations is limited due to the limitations of the evaluation items of the host institution.

Due to the characteristics of the (TAPAA)+(INDP-A) evaluation paper, which consists of 32 adolescents and 55 adults, if a subject performs one evaluation, the problem can be memorized (carry-over response), which reduces the reliability of the evaluation. occurs

·This has a negative impact on the reliability of the evaluation once a year for evaluation subjects, and also affects the service business that stores and manages changes in brain characteristics.

·In order to overcome this problem, it was attempted to develop similar items through equalization of each evaluation item on the (TAPAA)+(INDP-A) evaluation sheet, but cost-effectiveness, resources, and sustainability problems arise.

A report on the 'artificial intelligence system market' released by market research firm IDC predicts that the cognitive computing and artificial intelligence system market will grow rapidly at a CAGR of 55.1% from 2016 to 2020 and expand to $47 billion.

(2) Competitive products and competitors

ㅇ Overseas trends: Since the 1920s, European psychologists have been devising and using self-report (evaluation) personality type tests by analyzing human behavior and thinking patterns and brain dominance areas.

Figure 2 shows the Myers-Briggs Type Indicator (MBTI) developed by Catherine Briggs and her daughter Isabel Myers, and the DISC personality type test based on the unique behavioral model of Dr. William Mouston Marston, a professor of psychology at Columbia University in the United States. (Dominance, Influence, Steadiness, Conscientiousness), the Enneagram that classifies people's feelings, thoughts, and behaviors into 9 types, and the Egogram for personality analysis markers devised by American psychologist Jhon M. Dusay.

ㅇ Trends in Korea: A number of models have been introduced in Korea, and the majority of tests are MMPI tests or psychological tests centered on mental health medicine and clinical practice. A representative example is the Korean guidance evaluation system.

3 is a diagram showing the guidance evaluation system, MMPI development process.

The guidance pro service system uses the test result DB to order and send test papers -> online inspection order -> print real-time results.

MMPI development process produces AX (Adult Experimental) preliminary test paper (550 questions) -> Addition of questions (704 questions) -> Standardization -> MPPI-2 release (1989): 567 questions -> Revision of test manual (2001) ) and was implemented.

However, the professional use of the (TAPAA)+(INDP-A) evaluation paper is excessively high in the Thinking Behavior Analysis Assessment (TAPAA) and the Individual Neurological Dominance Type Assessment (INDP-A), and the (TAPAA) )+(INDP-A) When developing the items on the evaluation paper, the problem of hiring global experts occurs, and the time and cost limitations due to the unsustainable limited item development method and verification, and the (TAPAA)+(INDP-A) evaluation A sustainable R&D methodology is needed to ensure the reliability of the company.

In addition, domestic and foreign companies that evaluate types of brain thinking include Korea Guidance and MSC Consulting Group, but they provide services such as natural language processing technology, similar item generation technology, and reliability evaluation program in the actual evaluation system. There is no place yet.

Patent Registration No. 10-0966609 (Registration date: June 21, 2010), "Method for determining neurological dominance type and method for neurological diagnosis and prescription using the same", Hyungbae Park

The purpose of the present invention to solve the above problems is to build a cloud and smart device-based Thinking Action Pattern Assessment (TAPAA) platform, an evaluation question DB (item bank) for brain thinking behavior pattern analysis, It includes a natural language processing unit, a similar item generation unit, an expert system, an evaluation and data receiving unit, and a reliability evaluation unit. , provides a cloud-based Brain Thinking Behavior Pattern Assessment (TAPAA) system.

In order to achieve the object of the present invention, a cloud-based brain thinking behavior pattern assessment (TAPAA) system, a user terminal of an expert for the brain thinking behavior pattern assessment (TAPAA); And it is connected to the user terminal through a wired/wireless communication network, and evaluates the evaluation items (raw items) of the item set on the evaluation sheet for brain thinking behavior pattern analysis by a natural language processing algorithm including a morpheme analysis program and a sentence classification program ( Sentences are classified by analyzing the morphemes of raw items), and similar duplicate items in which words with high cosine similarity are selected are automatically created and approved/discarded by the expert system. According to the alpha (Cronbach α) correlation coefficient analysis, the reliability indicating whether the similar replicated item is equivalent to the evaluation item (original item) of the item set is evaluated, and the similarity of the Cronbach alpha correlation coefficient of 0.7 or more or 0.8 or more is evaluated by the item reliability evaluation program. Includes the Brain Thinking Behavior Pattern Assessment (TAPAA) system that selects duplicated questions as final duplicated questions and stores them in the question DB (item bank).

The brain thinking behavior pattern assessment (TAPAA) system is

Question DB (item bank) in which the evaluation questions (raw questions) of the question set for brain thinking behavior pattern analysis included in the assessment sheet for analyzing the four brain thinking characteristics of the right forebrain, right hindbrain, left forebrain, and left hindbrain are stored );

a natural language processing unit for classifying sentences by analyzing morphemes of each evaluation item (original item) by the natural language processing algorithm including the morpheme analysis program and the sentence classification program;

Using the morpheme analysis provided from the natural language processing unit, the evaluation questions (original questions) in which the sentences are classified, and the morpheme learning program are used to analyze the item syntax and select a plurality of words with high cosine similarity to automatically generate similar duplicated items. wealth;

The user terminal of the expert determines whether a plurality of words having a large cosine similarity provided from the similar item generating unit are eligible (similarity eligible/disqualified, or correct/wrong) of a similar duplicate item selected to be approved or discarded, or 5 an expert system to which point scale weights are input and for storing similar duplicated questions approved by the expert's user terminal in a storage;

an evaluation and data receiving unit for storing similar duplicated questions approved by the expert's user terminal provided from the expert system; and

According to the Cronbach α correlation coefficient analysis of the pedagogical theory by the item reliability evaluation program, the reliability indicating whether the similarly replicated item is equivalent to the evaluation item (original item) of the item set is evaluated, and by the item reliability evaluation program and a reliability evaluation unit that selects similar replicated questions greater than or equal to a specific value of the Cronbach's alpha correlation coefficient as final replicated questions and stores them in the question DB (item bank).

The smart device-based cloud-based Thinking Action Pattern Assessment (TAPAA) system of the present invention includes an evaluation item DB (item bank) for brain thinking behavior pattern analysis, a natural language processing unit, a similar item generating unit, an expert system, It includes an evaluation and data reception unit, and a reliability evaluation unit, builds a cloud and smart device-based brain thinking and behavior pattern evaluation (TAPAA) platform, and develops an artificial intelligence automatic question generation algorithm and verification technology optimized for brain thinking and behavior pattern analysis. , a customized behavioral type evaluation model was provided.

We built a cloud and smart device-based brain thinking and behavior pattern evaluation platform, developed an intelligent question creation algorithm and verification technology optimized for brain thinking and behavior pattern analysis, and identified brain characteristics through brain thinking and behavior pattern evaluation and analysis. , collects learning effects and brain type-related information for members who will receive learning by using a learning program customized for each brain type according to brain thinking and behavior patterns, and identifies the member's cognitive strengths and weaknesses based on the collected information provides a customized brain learning program for members, evaluates the four brain thinking characteristics of the right forebrain, right hindbrain, left forebrain, and left hindbrain, through which the brain strengths and weaknesses of the evaluator are identified It has come to be used in various fields such as type, job aptitude, job selection, career search, school adjustment problems, interpersonal relationships in social life, parent-child relationship, company personnel management, and job assignment.

The cloud-based brain thinking behavior pattern assessment (TAPAA) system is expected to develop a new learning content industry based on brain thinking types and neural dominance. In terms of the utilization of the labor force, it is possible to increase labor efficiency by identifying aptitudes and relocating tasks.

The cloud-based Brain Thinking Behavior Pattern Assessment (TAPAA) system measures the social costs caused by inconsistency and lack of understanding in human relationships such as brain type, work, education method, boss’s employee relationship, parental relationship, friend relationship, and male-female relationship. helps to reduce

The cloud-based Brain Thinking Behavior Pattern Assessment (TAPAA) system can be applied to brain health-related services in the future as it can manage one's own history and physical health by building a multiple-time brain type assessment system rather than a one-time one. It is possible to provide a variety of additional services using types (the kindergarten children's content market under the domestic local education support office, elementary, middle and high school brain thinking behavior type analysis evaluation test execution, university student evaluation, marriage information company, corporate personnel management, job assignment, etc.) have.

The cloud-based Brain Thinking Behavior Pattern Assessment (TAPAA) system plans to pioneer overseas markets by providing customized behavioral type assessment models (TAPAA-K, TAPAA-I) to Korea and Indonesia.

In domestic and foreign markets, Indonesia maintains a high economic growth rate, has the world's fourth largest population, and is particularly favorable to accepting Korea's education and evaluation model due to Korea's national development history and the influence of the Korean Wave. Due to cultural and religious differences, it is necessary to precisely adjust the analysis items and result content, and realistically, evaluation methodologies other than paper and PC-centered are required because the land is wide and the PC penetration rate is low.

1 is a diagram showing the brain thinking behavior pattern evaluation TAPAA model results and INDP-A model results.
Figure 2 shows the Myers-Briggs Type Indicator (MBTI) developed by Catherine Briggs and her daughter Isabel Myers, and the DISC personality type test based on the unique behavioral model of Dr. William Mouston Marston, a professor of psychology at Columbia University in the United States. (Dominance, Influence, Steadiness, Conscientiousness), the Enneagram that classifies people's feelings, thoughts, and behaviors into 9 types, and the Egogram for personality analysis markers devised by American psychologist Jhon M. Dusay.
3 is a diagram showing the guidance evaluation system, MMPI development process.
4 is a diagram showing a rule-based development method and an AI-based development method for brain thinking and behavior pattern evaluation questions.
5 is a diagram illustrating a method in which a conventional middleware device collects and stores data.
6 is a diagram illustrating a method in which the middleware collects and stores data.
7 is a TAPAA (Thinking Action Pattern Analysis Assessment) model of the right forebrain, right hindbrain, left forebrain, and left hindbrain.
8 and 9 are diagrams illustrating the configuration of a cloud-based Thinking Action Pattern Assessment (TAPAA) system according to the present invention.
FIG. 10 is a diagram showing the configuration of function definitions of item syntax/morpheme analysis (natural language processing unit) and automatic generation of similar items (similar item generation unit), item syntax analysis, and automatic generation of similar items.
11 is a diagram illustrating the function definition of the item reliability evaluation program and the configuration of the web-based expert review system/reliability evaluation program.
12 is a photograph showing examples of promotion of elementary, middle and high schools, universities, and public institutions.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

The smart device-based cloud-based Thinking Action Pattern Assessment (TAPAA) system is an evaluation question DB (item bank) for brain thinking and behavior pattern analysis, a natural language processing unit, a similar question generator, an expert system, and evaluation and data. It includes a receiving unit and a reliability evaluation unit, and has built a cloud and smart device-based brain thinking behavior pattern evaluation (TAPAA) system. It provides a type evaluation model.

4 is a diagram showing a rule-based development method and an AI-based development method for brain thinking and behavior pattern evaluation questions.

In a situation where multiple examiners conduct brain thinking and behavior pattern evaluation through web, app, and mobile, and in particular, in a situation where group evaluation occurs at the same time in schools or institutions, the evaluation result data is stored, managed, and analyzed in the brain thinking behavior pattern evaluation system. The system operates and provides a data transmission/reception and database storage processing device using a middleware device for efficiently collecting and processing brain thinking behavior pattern evaluation data.

A middleware device for efficient brain thinking behavior pattern evaluation data collection and an efficient data collection method of the middleware device, as the data is transmitted from the data transmission device to the socket, the middleware device clustering queue including a plurality of queues selecting a specific queue and allocating it to the socket; storing, by the middleware device, the data transmitted to the socket in the specific queue; observing, by the middleware device, whether a queue in an idle state exists in the plurality of queues included in the clustering queue; and storing, by the middleware device, data stored in a specific queue in an idle state in a database according to an observation result,

Through this, by selecting a specific queue among a plurality of queues included in the clustering queue and allocating it to the socket, the time required for temporarily storing the data transmitted to the socket in the queue is shortened, and the total time required for data collection and storage is saved. do.

5 is a diagram illustrating a method in which a conventional middleware device collects and stores data. The client device 1 that collects and transmits various types of information transmits data to the middleware device 2 , and the middleware device 2 stores and stores the collected data in the database 3 .

At this time, the client device 1 includes a plurality of clients 1-1, 1-2, ..., 1-n, and each client 1-1, 1-2, ..., 1-n ) transmits data to the sockets 2-1, 2-2, ..., 2-n of the corresponding middleware device 2 . The middleware device 2 cannot store data transmitted to the sockets 2-1, 2-2, ..., 2-n at once in the database 3, so it is difficult to efficiently store each data.

6 is a diagram illustrating a method in which the middleware collects and stores data, and as data is transmitted from the data transmission device to the socket, the middleware device selects a specific queue from a clustering queue including a plurality of queues and allocates it to the socket ; storing, by the middleware device, data transmitted to the socket in a specific queue; Observing, by the middleware device, whether a queue in an idle state exists in a plurality of queues included in the clustering queue; and storing, by the middleware device, data stored in a specific queue in an idle state in a database according to an observation result.

The brain thinking behavior pattern evaluation system of the present invention uses a middleware that collects brain thinking behavior pattern evaluation data, and stores the data collected from the data transmitting terminal in the evaluation question DB (question bank database). In general, on a heterogeneous network, middleware is system software in charge of communication between a client and a server or system software that connects a computer and a client of a computer, and in general, middleware is a system software that transfers a procedure of a specific application to another application. It can be shared between heterogeneous networks by calling it from a program or by distributing an application's object, and messages and data can be passed and exchanged between distributed applications.

7 is a TAPAA (Thinking Action Pattern Analysis Assessment) model of the right forebrain, right hindbrain, left forebrain, and left hindbrain.

TAPAA (Thinking Action Pattern Analysis Assessment) evaluates the four brain thinking characteristics of the brain including the right forebrain, right hindbrain, left forebrain, and left hindbrain, and through this, evaluates the brain strengths and weaknesses of the evaluator. It is an evaluation model developed to be used in various fields such as learning thinking type, job aptitude, school adaptation problem, interpersonal relationship, parent-child relationship, corporate personnel management, and job assignment.

The right forebrain represents intuition, imagination, curiosity, crisis - the tendency to change. The right hindbrain represents emotion, humane, encouraging, friendly - harmony, emotional disposition.

The left forebrain represents logic, objective, competitive, prioritizing, and organization-independent tendencies. The left hindbrain shows progressive, orderly, consistent, responsible, disposition-principle disposition.

8 and 9 are diagrams illustrating the configuration of a cloud-based Thinking Action Pattern Assessment (TAPAA) system according to the present invention.

The cloud-based brain thinking behavior pattern evaluation (TAPAA) system of the present invention is

Expert's user terminal 200 for brain thinking behavior pattern evaluation (TAPAA); and

It is connected to the user terminal 200 through a wired/wireless communication network, and a natural language processing algorithm (paragraph/sentence) including a morpheme analysis program and a sentence classification program for the evaluation items (raw items) of the item set on the evaluation paper for brain thinking behavior pattern analysis. Analyze the morphemes of the evaluation items (original items) by dividing the words by morpheme analysis of text segments-> lexical/syntax/semantic analysis linked to the dictionary-> similarity analysis) to classify sentences/words, and cosine Similar duplicate items with high similarity selected are automatically created and approved/rejected by the expert system, and similar duplicate items are identified according to the Cronbach α correlation coefficient analysis of pedagogical theory by the item reliability evaluation program. Reliability indicating whether it is equivalent to the evaluation item (original item) of the item set is evaluated, and a similar duplicate item with a Cronbach α correlation coefficient of 0.7 or higher or 0.8 or higher is selected as the final duplicate item by the item reliability evaluation program. Includes a brain thinking behavior pattern evaluation (TAPAA) system 100 that is stored in DB (question bank),

The brain thinking behavior pattern assessment (TAPAA) system 100 is

Question DB (item bank) in which the evaluation questions (raw questions) of the question set for brain thinking behavior pattern analysis included in the assessment sheet for analyzing the four brain thinking characteristics of the right forebrain, right hindbrain, left forebrain, and left hindbrain are stored ) (101);

a natural language processing unit 102 for classifying sentences by analyzing morphemes of each evaluation item (original item) by the natural language processing algorithm including the morpheme analysis program and the sentence classification program;

Using the morpheme analysis provided from the natural language processing unit 102 and the evaluation items (original items) in which the sentences are classified and the morpheme learning program, the item syntax analysis and the selection of a plurality of words with high cosine similarity to automatically generate similar duplicate items a similar item generating unit 103;

The expert user terminal 200 determines whether or not the similarity duplicated question in which a plurality of words with a large cosine similarity provided from the similar item generating unit 103 are selected (similarity eligible/non-qualified, or correct/wrong) is approved or discarded. an expert system 104 for storing similar duplicate items that are determined or input with a 5-point scale weight and approved by the expert's user terminal;

an evaluation and data receiving unit 107 for storing similar duplicate items approved by the user terminal 200 of the expert provided from the expert system 104; and

According to the Cronbach α correlation coefficient analysis of the pedagogical theory by the item reliability evaluation program, the reliability indicating whether the similarly replicated item is equivalent to the evaluation item (original item) of the item set is evaluated, and by the item reliability evaluation program and a reliability evaluation unit 108 that selects similar replicated questions greater than or equal to a specific value of the Cronbach alpha correlation coefficient as final replicated questions and stores them in the question DB (item bank).

The user terminal 200 uses any one of a PC, a smart phone, and a tablet PC.

The wired/wireless communication network uses any one of IP network, LTE 4G/5G, and Wi-Fi wireless LAN network.

The cloud-based brain thinking behavior pattern evaluation (TAPAA) system 100 is

A set of questions for analyzing brain thinking behavior patterns included in the evaluation sheet (TBPT evaluation sheet, INDP-A evaluation sheet) for analyzing the four brain thinking characteristics of the brain having the right forebrain, right hindbrain, left forebrain, and left hindbrain an item DB (item bank) 101 in which evaluation items (original items) are stored;

A natural language processing unit that classifies sentences by analyzing the morphemes of each evaluation item (original item) by a natural language processing algorithm including a morpheme analysis program (Korean NLP in Python, using Cohesion tokenizer) and a sentence classification program (using Google Word2Vec methodology) (102);

Using a morpheme analysis provided from the natural language processing unit 102 and an evaluation question (original question) in which sentences are classified, and a morpheme learning program, item syntax analysis and selecting a plurality of words with a large cosine similarity to automatically generate similar duplicated questions a similar item generating unit 103;

The expert user terminal 200 decides to approve or discard the eligibility (similarity eligible/disqualified, or correct/wrong) of the similar duplicated question in which a plurality of words with high cosine similarity provided from the similar item generating unit 103 are selected. or an expert system 104 in which a 5-point scale weight is input, and the expert system 104 stores similar duplicate questions approved by the expert's user terminal 200 as a storage;

an evaluation and data receiving unit 107 for storing similar duplicate items approved by the user terminal 200 of the expert provided from the expert system 104; and

According to the Cronbach α correlation coefficient analysis of the pedagogical theory by the item reliability evaluation program, the reliability indicating whether the similarly replicated item is equivalent to the evaluation item (original item) of the item set is evaluated, and by the item reliability evaluation program and a reliability evaluation unit 108 that selects similar replicated questions with a Cronbach alpha correlation coefficient or more (0.7 or more or 0.8 or more) as final replicated questions and stores them in the question DB (item bank).

The evaluation sheet uses a TBPT (TBP Test) evaluation sheet (adults/adolescents) and INDP-A (Individual Neurological Dominance Profile-A) evaluation sheet.

In the natural language processing unit 102, the morpheme analysis program uses Korean NLP in Python and Cohesion tokenizer, and the sentence classification program uses the Google Word2Vec methodology.

The reliability evaluation unit 108 stores the similarly replicated questions and final replicated questions with a Cronbach's alpha correlation coefficient of 0.7 or more or 0.8 or more in the question DB (item bank).

For the generated item set, 50 words with high cosine similarity are selected based on keyword-centered cosine similarity, and based on this, a set of items with high similarity to each raw item is generated. Among 53 original items x 50 similarity items, three sets of items with the highest expert weight are detected.

The expert system 104 provides as performance indicators the number and pass rate of the similarly duplicated questions (eg, 100) automatically generated by the similar item generating unit as qualified as a result of the expert examination.

The stability of the evaluation provides the stability of the customized SBT/CBT system (check the number of failures during the exam, the recovery rate, etc.).

Referring to Table 1, the items are items that have been final evaluated by experts,

The final item reliability of the items (items) whose final evaluation has been completed is the test-retest reliability of the same subject evaluated using the automatically generated similar duplicate items and the results of the evaluation using the TBPT raw items, and is calculated as follows.

Cronbach Alpha = (number of items * mean of correlation coefficient) / ( 1 + [(number of items -1) * mean of correlation coefficient])

If the population is less than 50, the isotype test reliability is used.

The test taker's reliability is evaluated by the test taker by comparing the analysis results evaluated by the test taker with the existing questions and the newly created duplicate questions, and the reliability (satisfaction) is evaluated by the user.

Table 1 shows performance indicator goals and measurement methods.

[goal]

ο Development of cloud-based brain thinking and behavior type analysis and evaluation system

ο Parsing of items and automatic generation of similar items

ο A set of available duplicated questions derived through expert review of brain thinking behavior type analysis and evaluation by an expert system

ο Question (question set) Reliability evaluation program and final commercialization application duplicate question set

[Features of Brain Thinking Behavior Pattern Analysis and Evaluation System]

ο Item parsing and automatic generation of similar items

- Morphological analysis program (Korean NLP in Python, using Cohesion tokenizer)

- Sentence classification program (using Google Word2Vec methodology)

- Program for learning raw items and morphemes

- Ability to select 50-100 words with high cosine similarity

- Delivery function to the item verification program including the selected word

ο Expert system (user terminal-brain thinking behavior type analysis expert review)

- Web-based expert question review function

- 5-point scale weight input function for approved/rejected and approved duplicate questions

- Forwarding function to expert-approved duplicate question storage (evaluation and data receiving unit)

ο Item (Item Set) Reliability Assessment Program

- Selected item set definition (Allocation) function

- Reliability analysis function (Cronbach alpha correlation coefficient analysis based on data from at least 50 people who selected the same item)

* Measurement of parallel-form reliability when it is impossible to secure a population of 50 or more

- Save the question (item set) with Cronbach's alpha correlation coefficient of 0.7 or more (or 0.8 or more) in the question DB (item bank)

10 and Table 2 are diagrams showing function definitions of item syntax/morpheme analysis (natural language processing unit) and automatic generation of similar items (similar item generation unit), and configuration of item syntax analysis and automatic generation of similar items.

The question DB (item bank) 101 provides TBPT (Teaching by Principles (TBP), TBP Test) adult questions, TBPT adolescent questions, and INDP (Individual Neurological Dominance Profile) questions.

The natural language processing unit 102 includes an item syntax/morpheme analysis (NLP), and a context analyzer for classifying characters,

The similar item generating unit 103 includes a context generator for generating similar words/items and selecting 50-100 words with a large cosine similarity based on keywords,

The expert system (expert review system) 104 includes a verification manager,

The expert's user terminal decides to approve or discard the eligibility (similarity eligible/disqualified, or correct/wrong) of the similarly duplicated question in which a plurality of words with a large cosine similarity provided from the similar item generating unit are selected, or to the expert Similar duplicate items approved by the company are transferred to the repository.

Table 3 shows the question list, question view, and question review functions of the web-based expert system.

11 and Table 4 are diagrams showing the function definition of the item reliability evaluation program and the configuration of the web-based expert system/reliability evaluation program reviewed by experts.

(3) Marketing/Sales Goals and Plans

① B2B2C business promotion strategy

ο Differentiated TAPAA marketing to customers such as franchise institutions and schools that have experience using HBTS models, etc.

ο By utilizing the prototype developed through the start-up leading university project, an empirical history is formed in Korea and Indonesia, and the results derived from this R&D project are used to enter the market in earnest in the second quarter of 2020

ο Strengthening overseas marketing and product competitiveness

- TAPAA marketing to customers such as government agencies and schools

- Promote locally optimized service compared to the previous inconvenient foreign evaluation through Indonesian language pack application and localization (questions, examples, explanations)

ο Information gathering activity plan for overseas market entry

- Analysis of the market (customers) with similar experience and information collection

- Collecting information on overseas markets through the Small and Medium Business Support Center’s export capacity strengthening project

- Participate in overseas exhibitions such as KOTRA, Small and Medium Business Corporation, and actively utilize supporting organizations to collect relevant information in the overseas market and participate in exhibitions to discover overseas buyers and conclude contracts

Table 5 is the analysis information of the market (customers) with similar experience

Table 6 shows the SWOT analysis of this product.

Strength (S) Weakness (W) -Sustainable development environment based on artificial intelligence
grafting
-Expansion of additional services based on various questions (history management, etc.)
-Securing high scalability and availability by applying the latest evaluation technologies such as UBT/CBT
- Absence of long-term business history such as BTSA and HBTS
- Small R&D resources Opportunity (O) risk (T) - The government's active fostering policy
- High possibility of establishing itself as a core field of the 4th industrial revolution through BT/IT convergence
- High possibility of commercialization of linked services following the expansion of universal welfare policy
- Rapidly changing market environment
- Competition in scale with job aptitude models/rules in similar markets

(4) Commercialization promotion strategy and future plans

(A) Target customers and markets of commercialized products/technology

ο A brain science-based evaluation platform that enables continuous evaluation and management from children/adolescents to adults and the elderly

ο Long-term follow-up of personal evaluation history

ο The world's first brain thinking and behavior pattern evaluation platform targeting Indonesia

ο Globalization possible immediately after commercialization

ο A thought and behavior pattern evaluation platform that can respond to multiple devices such as PCs, mobile devices (smartphones), and tablet PCs

ο Web/app/mobile evaluation possible without time and space constraints

ο SaaS-based B2B cloud service (convenient evaluation system operation and settlement, independent DB management possible)

ο License-based B2B business promotion possible

ο Brain thinking and behavior pattern evaluation platform equipped with various products from free version to advanced medical evaluation

ο Since we have a variety of item sets, we can develop a variety of item sets by combining them.

ο Maximize direct inflow of B2C customers by developing promotional products for customer influx, such as free fortune-telling and free personality type analysis applications, and provide paid marketing supplementary products to B2B customers

ο A platform that can offer alternatives after evaluation using additional products

ο Immediate sales and added value can be increased by developing various combined products for each specialized field such as HRD, marriage brokerage market, and K12

12 is a photograph showing examples of promotion of elementary, middle and high schools, universities, and public institutions.

[Domestic Business Promotion Strategy]

ο Hold seminars and operate educational programs for companies related to brain learning clinics.

- The Brain Learning Clinic, Suinjae Brain Science, Thunderum, Brain Leader Network, Balance Brain Network, Oriental Clinic Network, etc.

ο Opening of a training course for the 1st~6th class of lecturers at the Learning Clinic affiliated with the Seoul Metropolitan Office of Education

- After operating a brain function-related association (tentatively called Korea Dyslexia Association) with advisory members, open a private qualification course for brain function counseling (level 1~3 course)

- Operation of brain-related online education and training program (in consultation with Korea Teacher Training Institute)

- Conducting educational seminars for national education offices or government-affiliated organizations

- Sales of evaluation programs through branch recruitment for brain science experts

- Education of sales experts for schools and institutions (using existing sales book for brain thinking behavior type evaluation program)

- Sales through partnerships with consulting companies for companies

ο Expansion of overseas marketing through government-affiliated organizations (KOTRA, Small and Medium Business Administration, etc.) and official service after pilot project

[effect]

ο Increasing demand for new learning methods by identifying brain thinking types in the learning market

ο Using customized learning programs for each brain type, collect learning effects and brain type-related information for members who will receive learning, identify cognitive strengths and weaknesses of members based on the collected information, provide additional services, and The market demand for a brain-tailored learning program is derived

ο Increase labor efficiency by identifying aptitudes and relocating tasks in terms of job selection and job analysis

ο Expected to develop a new learning content industry based on brain thinking types and neural dominance

ο Reduce social costs caused by mismatches in brain types, tasks, educational methods, human relationships, and lack of understanding

ο By establishing a multiple-time brain type evaluation system rather than a one-time, it is possible to manage one's own history and physical health, so that the system can be applied to brain health-related services in the future and various additional services using brain types can be provided. Yes (Kindergarten children content market under the Korean Regional Office of Education, Elementary, Middle and High School Brain Thinking Behavior Analysis Evaluation Test, University Student Evaluation, Marriage Information Company, Corporate Personnel Management, Job Placement, etc.)

Embodiments according to the present invention may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable recording medium. The computer-readable recording medium may include program instructions, data files, and data structures alone or in combination. Computer-readable recording media include storage, hard disks, magnetic media such as floppy disks and magnetic tapes, optical recording media such as CD-ROMs and DVDs, and magnetic media such as floppy disks. - A hardware device specially configured to store and execute program instructions in magneto-optical media, and storage media including ROM, RAM, and flash memory may be included. Examples of program instructions may include those generated by a compiler and not only machine language code but also high-level language code that can be executed by a computer using an interpreter. The hardware device may be configured to operate as one or more software modules to perform the operations of the present invention.

As described above, the method of the present invention is implemented as a program and can be read using computer software in a form that can be read on a recording medium (CD-ROM, RAM, ROM, memory card, hard disk, magneto-optical disk, storage device, etc.). ) can be stored in

Although described with reference to the preferred embodiment of the present invention, those of ordinary skill in the art can variously modify or modify the present invention within the scope without departing from the spirit and scope of the present invention described in the claims below. It will be understood that this can be done.

100: Brain thinking behavior pattern analysis and evaluation system
101: question bank 102: natural language processing unit
103: pseudo-question generating unit 104: expert system
107: evaluation and data receiving unit 108: reliability evaluation unit
200: user terminal

Claims (9)

Expert user terminal for Brain Thinking Behavior Pattern Assessment (TAPAA); and
It is connected to the user terminal through a wired/wireless communication network, and the evaluation items (raw items) of the item set for brain thinking behavior pattern analysis are evaluated by a natural language processing algorithm including a morpheme analysis program and a sentence classification program. The morphemes of the items) are analyzed to classify the sentences, and the similar duplicated items in which words with high cosine similarity are selected are automatically created to be approved/discarded by the expert system. (Cronbach α) Evaluates the reliability indicating whether the similarly replicated item is equivalent to the evaluation item (original question) of the item set according to the correlation coefficient analysis Includes the Brain Thinking Behavior Pattern Assessment (TAPAA) system, which selects the questions as final duplicated questions and stores them in the question DB (item bank),
The brain thinking behavior pattern assessment (TAPAA) system is
Question DB (item bank) in which the evaluation questions (raw questions) of the question set for brain thinking behavior pattern analysis included in the assessment sheet for analyzing the four brain thinking characteristics of the right forebrain, right hindbrain, left forebrain, and left hindbrain are stored );
a natural language processing unit for classifying sentences by analyzing morphemes of each evaluation item (original item) by the natural language processing algorithm including the morpheme analysis program and the sentence classification program;
Using the morpheme analysis provided from the natural language processing unit, the evaluation questions (original questions) in which the sentences are classified, and the morpheme learning program are used to analyze the item syntax and select a plurality of words with high cosine similarity to automatically generate similar duplicated items. wealth;
The user terminal of the expert determines whether a plurality of words with a large cosine similarity provided from the similar item generating unit are eligible (equivalent to similarity/disqualified, or correct/wrong) of a similar duplicate item selected to be approved or discarded, or 5 an expert system to which point scale weights are input and for storing similar duplicate questions approved by the expert's user terminal in a storage;
an evaluation and data receiving unit for storing similar duplicate items approved by the user terminal of the expert provided from the expert system; and
According to the Cronbach α correlation coefficient analysis of the pedagogical theory by the item reliability evaluation program, the reliability indicating whether the similarly replicated item is equivalent to the evaluation item (original item) of the item set is evaluated, and by the item reliability evaluation program A cloud-based brain thinking behavior pattern evaluation system including a reliability evaluation unit that selects similar replicated questions with a Cronbach alpha correlation coefficient or higher as the final replicated questions and stores them in the question DB (item bank). According to claim 1,
The user terminal is
A cloud-based brain thinking behavior pattern evaluation system using any one of PC, smartphone, and tablet PC. According to claim 1,
The above question DB (item bank) is a cloud-based brain that provides TBPT (Teaching by Principles (TBP), TBP Test) adult questions, TBPT adolescent questions, and INDP (Individual Neurological Dominance Profile) questions. Thinking behavior pattern evaluation system. According to claim 1,
The evaluation sheet is a cloud-based brain thinking behavior pattern evaluation system using the TBPT (TBP Test) evaluation sheet (adults/adolescents) and INDP-A (Individual Neurological Dominance Profile-A) evaluation sheet. According to claim 1,
The morpheme analysis program uses Korean NLP in Python, Cohesion tokenizer, and the sentence classification program uses Google Word2Vec methodology, a cloud-based brain thinking behavior pattern evaluation system. According to claim 1,
The reliability evaluation unit is a Cronbach alpha correlation coefficient of 0.7 or more or 0.8 or more similar replicated questions are selected as final replicated questions and stored in the question DB (item bank), a cloud-based brain thinking behavior pattern evaluation system. According to claim 1,
The natural language processing unit includes an item syntax/morpheme analysis (NLP) and a context analyzer for classifying characters,
The similar item generating unit includes a context generator for generating similar words/items and selecting 50-100 words with a large cosine similarity centered on keywords,
The expert system includes a verification manager as an expert review system,
The expert's user terminal decides to approve or discard the eligibility (similarity eligible/disqualified, or correct/wrong) of the similarly duplicated question in which a plurality of words with a large cosine similarity provided from the similar item generating unit are selected, or to the expert A cloud-based brain thinking behavior pattern evaluation system that stores similar duplicated questions approved by the company in the storage. According to claim 1,
The reliability evaluation unit
The items are those that have been final evaluated by experts,
As the final item reliability of the items (items) whose final evaluation has been completed, the reliability of the test-retest of the same subject evaluated using the automatically generated similar duplicate items and the results of the evaluation using the TBPT raw items is
Cronbach Alpha a = (number of items * average correlation coefficient) / ( 1 + [(number of items -1) * average correlation coefficient]), a cloud-based brain thinking behavior pattern evaluation system. According to claim 1,
The Brain Thinking Behavior Pattern Assessment (TAPAA)
The four brain thinking characteristics of the right forebrain, right hindbrain, left forebrain, and left hindbrain are evaluated, and through this, the evaluator's brain strengths and weaknesses are identified, learning thinking type, occupational aptitude, school adaptation problems or interpersonal relationships, and parents and children. It is an evaluation model developed to be used in various fields such as relationships, corporate personnel management, and job assignment.
The right forebrain represents intuition, imagination, curiosity, crisis-change tendency, and the right hindbrain shows emotion, human, encouraging, friendly-harmony, emotional inclination,
The left forebrain represents logic, objective, competition, priority, and organization-independent tendencies, and the left hindbrain shows progressive, orderly, consistent, responsible, disposition-principled, cloud-based brain thinking and behavior patterns. evaluation system.

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