KR100597465B1 - System of fixing department and method thereof - Google Patents

Abstract

The departmental selection system according to the present invention includes a subject preference database 110; Department fitness database 120; Work environment preference database 130; Series preference database 140; forms the basis of the query for the subject through the four types of database, the specific database (110, 120, 130) through a certain number of population recruited by each major to obtain a number and again by each department A standard comparison database 160 normalized to a sheet; A questionnaire evaluation module 210 for displaying the questionnaires of the four types of databases 110, 120, 130, and 140 to a subject to obtain a numerical value for each questionnaire; A pair-to-bridge module 230 for obtaining a comparison value for each questionnaire in a pair-to-bridge format for a questionnaire for the series preference database 140; A numerical comparison calculation module 220 for generating a final numerical value for each questionnaire of the subject by comparing the numerical value of the subject obtained for each questionnaire from the databases 110, 120, and 130 with the questionnaire value of each sheet of the standard comparison database 160; A priority processing module 240 for extracting a predetermined number of priority departments for each of the four final figures of the subjects obtained through the modules 220 and 230; And a department selection module 250 that finally selects a subject suitable for the subject based on the numerical value of each priority department according to the four types of databases 110, 120, 130, and 140.

Description

Department-based selection system and its method {SYSTEM OF FIXING DEPARTMENT AND METHOD THEREOF}

1 is a block diagram showing a schematic configuration of a department-based selection system according to the present invention.

2 is a flowchart illustrating a schematic procedure of a department-based selection method according to the present invention.

3 is a block diagram showing a schematic configuration of four types of inspection databases according to the present invention;

Figure 4 is an exemplary view showing a process of the subject preference test through the subject preference database in the questionnaire evaluation module according to the present invention.

Figure 5 is an exemplary view showing a description of the priority department of the subject preference test through the subject preference database in the priority processing module according to the present invention.

Figure 6 is an exemplary view showing a process of series preference checking through a series preference database in the pair contrast bridge module according to the present invention.

7 is an exemplary view showing the description and consistency of the priority department of the subject preference test through the subject preference database according to the present invention.

8 is an exemplary view showing a description of the priority department of the department suitability check through the department suitability database in the priority processing module according to the present invention.

9 is an exemplary view showing a description of the priority department of the work environment preference test through the work environment preference database in the priority processing module according to the present invention.

10 is an exemplary view showing a final priority department of the test according to four types of database in the department selection module according to the present invention.

11 is an exemplary view showing a description display state of the final priority department derived from the department selection module according to the present invention.

<Explanation of symbols for the main parts of the drawings>

110: subject preference database 210: survey evaluation module

120: Department fitness database 220: Numerical comparison calculation module

130: work environment preference database 230: pair contrast module

140: series preference database 240: priority processing module

150: tester database 250: department selection module

160: standard comparison database 260: consistency check module

170: expert group database

The present invention relates to a system for selecting a department-based system, and more specifically, to normalize a database tested based on graduate students majoring in each department, and regenerating a standard database for each department according to the characteristics of each department. This standard database is analyzed and compared with the test results of middle and high school students, and the system and method for pursuing more accurate and reliable department selection and career guidance.

Since Korea is particularly a society where education is important, the educational enthusiasm of parents is overestimated in any country in the world, and the reality of such educational overstrains has the side effect that it promotes many regional deviations or educational almightyism.

Therefore, while the Ministry of Education intends to announce and implement improvement measures to overcome this, the current atmosphere of education and the priority recognition of educational background will be maintained in the future. Because of this lack of reality, current and future middle and high school students are required to select prospective colleges based on their teaching ability or ability, and the first step in determining their lifelong career is appropriate to their characteristics. Decisions are the most important situation.

   In fact, it is not unusual to prioritize college decisions based on the will of the parents or their own ability without considering the subjects that do not fit their own characteristics. In this case, it causes social side effects that are concentrated on transfer or notification. It can cause side effects that have a significant adverse effect. Therefore, in order to overcome these problems, various institutions and companies are currently developing and implementing a testing system for determining the subjects and departments of secondary students, and the questions themselves are not guaranteed to be abstract or concrete. For example, if you prefer to answer the question 'Good Korean,' you will be tested offline or online through too general and fragmented questions of Korean literature and expectations. Rather, it only results in confusion between students and parents.

It is difficult for secondary students to be sure that their choices are the right choices for test questions from various organizations because they do not have experience in college and society, and how these interests and abilities are used after actual university graduation. This is difficult to estimate because existing test evaluation systems do not take this reality into account and only derive results for simple questions.

In order to solve this same problem, Korean Patent No. 334138 "career diagnosis system" is based on the six types of the theory of occupational personality theory (RIASEC theory) of 120 means of database the personality of the code, and Means of creating an OMR card by searching general environment, job preferences, academic achievements, etc. in order to grasp the objective occupational environment and subjective occupational characteristics of the examinee by the database; The three scores are ranked in the order of the highest scores, summed and compared, and a means for deriving the subcodes according to the score order, and a sheet corresponding to the code among the files of 120 professional personality types stored in the database. Provides information to call to select a job that is appropriate for the individual's occupational characteristics The features you ', is said to have initiated an effect that can solve the problem, allowing a more accurate and reliable career.

According to the above system, it is possible to derive the same result as the expert diagnosed based on the professional personality theory, but the opinion of the student in the department is not reflected, and the past is simply excluded while changing the reality. There is a problem in that the result can be derived from the theory, and in addition to the detailed question and diagnosis, other general career decision logic is that the overall evaluation process grades the question by simply grading it and simply calculating the result. However, there is a disadvantage that it is difficult to obtain a special difference from the existing system because it does not deviate significantly from the process.

The present invention has been devised to overcome the problems of the above technology, and the types of tests are classified into four specialized test categories: subject preference test, departmental suitability test, occupational environment preference test, and series preference test. Standardize the standardized test by making a database of relevant questions, but not simply selecting the subjects by deriving only the results of the subjects that can be obtained through these questions. The objective is to produce more realistic and reliable department selection results by regenerating the comparison database and processing the results of the subjects in combination.

Another object of the present invention is that the results of each subject derived from the subject is similar to the results of other subjects, so that it may be difficult to pursue more accurate subject selection, resulting in the results of the students' standard database and the subject's results By reducing the margin of error by multiplying, it is possible to prevent the problem of different departments being calculated at the same time.

Another object of the present invention is the subject preference, departmental suitability, work environment preference of the QFD (Quality Function Developement) method, and the preference preference test is analyzed by applying the Analytic Hierarchy Process (AHP) method, It is to conduct precise academic analysis.

In order to achieve the above object, the department-based selection system according to the present invention includes a subject preference database 110 classified into four kinds of small groups, which becomes a basis for a question for a subject, and which contains a questionnaire asking a subject's subject preference. A departmental fitness database 120 which includes a questionnaire asking each of three kinds of inclinations by specializing in the subject's learning environment, basic knowledge, and academic characteristics; A job environment preference database 130 including a questionnaire asking about job preference characteristics of subjects by forming six job groups; A series preference database 140 including a questionnaire asking a subject about characteristics of a series field to which a department belongs; In the four databases (110, 120, 130, 140) through the subject preference database 110, department fitness database 120, work environment preference database 130 to obtain a numerical value through a predetermined number of population recruited for each major A standard comparison database 160 normalized to each department and processed and sorted by sheets; A questionnaire evaluation module 210 for displaying the questionnaires of the four types of databases 110, 120, 130, and 140 in time series to a subject to obtain a numerical value for each questionnaire; A pair-to-bridge module 230 for displaying a questionnaire for the series preference database 140 to a subject in a pair-to-bridge format to obtain a comparison value for each questionnaire; The number of subjects obtained for each question from the subject preference database 110, the department suitability database 120, and the work environment preference database 130 is compared with the questionnaire values of each sheet of the standard comparison database 160, and the weights of the subjects are compared. Numerical comparison calculation module 220 for generating the final numerical value for each questionnaire of the subject; A priority processing module 240 for extracting a predetermined number of priority departments for each of the four types of final values of the subjects obtained through the numerical comparison calculation module 220 and the pair comparison module 230; And a department selection module 250 that finally selects a subject suitable for the subject by summing and averaging the numerical values for each of the priorities according to the four types of databases 110, 120, 130, and 140.

In addition, the method of selecting a department in accordance with the present invention includes a database of a plurality of questionnaires for a subject preference test, a departmental suitability test, a work environment preference test, and a series preference test. Determining the first step; A second step of generating a standard comparison database by normalizing numerical values obtained by performing a subject preference test, a departmental fitness test, and a job environment preference test among the four types of tests through a predetermined number of graduate students for each major; A third step of performing four types of tests on the subjects to obtain numerical values for each questionnaire of the subjects; Among the four types of tests, the subjects 'test scores and the graduate students' scores for the subject preference test, the departmental fitness test, and the work environment preference test were compared. The fourth step; A fifth step of deriving the final number of subjects and extracting a certain number of priorities by assigning predetermined weights to the numerical values obtained through pairwise comparison of each questionnaire through the AHP method in the series preference test among the four types of tests ; And a sixth step of selecting a final subject by summing and comparing four final values of the test subjects obtained in steps 4 and 5.

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

The departmental selection system according to the present invention first classifies each category in a manner of grouping each question selected according to empirical or well-known educational theory into subject preference, department jointness, work environment preference, and serial preference, and database them. do. Of the four databases (110, 120, 130, 140) that gathered these questions, the databases (110, 120, 130) on subject preferences, academic affinity, and work environment preferences allow the subject to derive numbers for each questionnaire after testing. Is a 7-point scale, i.e. not at all (1 point), very (almost) no (2 points), little (slightly) no (3 points), moderate (4 points), little (slightly) yes (5 Points), very (almost) yes (6 points), and totally yes (7 points) are derived for each question. Of course, the idea according to the present invention can be variously quantified in such a way that weighting or differential scores can be applied regardless of the seven-point scale.

The sequence preference will be described later, but the sequence characteristics may be derived by a method called an analytic hierarchy process (AHP) rather than the numerical derivation method.

The three types of databases (110, 120, 130) among the databases on which the numbers, etc., can be derived, are first derived from the number of questions for graduate students who have realistic majors with appropriate numbers for the population. Next, when ranking, the degree of correspondence for each major according to each question is derived. The standard comparison database 160 is generated by normalizing the degree of conformity.

Subsequently, the subject examines the questions contained in the three types of databases 110, 120, and 130 to derive the preference for each question as a numerical value, and totally compares the standard comparison database 160 generated by each department to process the results. For each questionnaire, the degree of conformity of all departments is derived as a score, and thus the final department and series are selected.

Disclosing the specific configuration and method of the department selection system according to the present invention based on these basic characteristics as follows.

1 is a block diagram schematically showing the overall configuration of the department selection system according to the present invention, Figure 2 is a flow chart showing a schematic procedure of the department selection method according to the present invention.

Referring to FIG. 1, the system according to the present invention includes a subject preference database 110, a department suitability database 120, a work environment preference database 130, a series preference database 140, and a database including the questionnaire for each characteristic. Based on the subject preference database (110), the department suitability database (120), and the work environment preference database (130) among 110, 120, 130, and 140, the survey was conducted based on the actual major / department population, specifically graduate students, The tester database 150 that calculates the standard, the standard comparison database 160 that has undergone normalization through the tester database 150, and then extracts realistic and reliable information, and the surveys included in each database of the subjects. Survey evaluation module 210 to perform, the subject's calculated through the survey Numerical comparison calculation module 220 for calculating the subject's own regeneration final value for each questionnaire by comparing the numerical value with the numerical values configured for each department of the standard comparison database 160, and the series preference database 140 among the four types of databases. Based on this, the subjects received the highest values through the pair-wise bridge module 230, which extracts the numbers to obtain the major goals and relative preferences of each college, and the values derived through these four databases 110, 120, 130, and 140. Priority processing module 240 for selecting a predetermined number, for example, five departments according to each test, consistency check module 260 for checking whether the results are consistent by comparing four tests, and the four databases. After conducting a questionnaire survey on the experts of each major who went to (110,120,130,140), the comparative data specialized for each major was added. Shipping to the department group selection module 250 that selects the final department series by comparing and analyzing the expert group database 170 and the numerical values for all engineering departments derived from the four databases 110, 120, 130, and 140 with the expert group database 170. consist of.

3 is a block diagram showing a schematic configuration of four types of databases according to the present invention.

Referring to each of the four types of databases (110, 120, 130, 140), first, the subject preference database (110) is for subjects' subject preference test, which subjects do you like and dislike during high school (Graduate) or present (subject) It is a collection that contains a questionnaire to perform the function to inform the departments and departments in which the contents of the well-favored and favorite subjects are very helpful.

The questionnaire structure of the subject preference database 110 is as follows.

1) It consists of questions covering the entire middle school and up to the first year of high school (grade 10), and 2) includes the subjects of language, mathematics, foreign language and inquiry, social exploration, and science. 3) Inquiry areas are composed of curriculum items that can make a significant difference in preference for subjects based on major elective subjects, and 4) Measures of practical and practical students' preferences such as practical subjects of computer and arts and physical arts. In addition, it is possible to conduct self-report surveys on achievements (gender criteria) as well as subject preferences, and measure individual student responses by combining preferences and achievements.

The questionnaire constructed on this basis is composed of the following Tables 1 and 2 in detail.

The number and content of the specific questionnaire that constitutes the 'subject preference' test in the subject preference database. number                          Questionnaire One I like studying Korean subjects. 2 I like to study English subjects. 3 I like to study second foreign language subjects. 4 I like to study Chinese subjects. 5 I like to study moral subjects. 6 I like to study history (national history) . 7 I like to study world history in social studies. (Time, space and humans, the dawn and ancient civilization of civilization, the expansion and east-west exchange of the Asian world, the feudal society of Europe, the maturity of Asian society, the growth and expansion of modern European society, the modern development of the Asian world, imperialism and world war Development of the world after the war) 8 I like to study Korean geography in social studies. (Understanding of the land, the natural environment of the country, the function of life zone formation, the formation and change of life zone, life of various regions, national unification and tasks and efforts, interdependence between regions) 9 I like to study world geography in social studies. (World and geography, countries close to us, early industrialized countries, countries energized for regional development, countries undergoing change after the collapse of socialism, world challenges) 10 I like studying law and the social part of social studies. (Ideology and rights and duties of law, personal life and law, social life and law, national life and law, development and task of legal life) 11 I like to study the political part of social studies. (Citizen life and politics, political process and participation, democratic politics in our country, international society and politics, political development) 12 I like to study economics in social studies. (Understanding economic life and solving economic problems, market and economic activities, rational choice of economic actors, national economic activities and economic fluctuations, global markets and future prospects of the Korean economy) 13 I like to study social and cultural aspects of social studies. (Exploration of social and cultural phenomena, individual and social structure, community life and community, understanding of human and cultural phenomena, modern society and social problems, prospects and responses to future societies) 14 I like to study math subjects. 15 I like to study the physical part of science. (Power and energy, electricity and magnetism, waves and particles, atoms and nuclei) 16 I like studying chemistry in science. (Substances, chemistry and humans, state and solution of matters, structure of matters, chemical reactions) 17 I like to study the biological part of science. (Characteristic of life phenomena, nutrients and digestion, circulation, respiration, stimulation and reaction, reproduction and development, heredity, life sciences and human life, cellular characteristics, metabolism, continuity of life, biodiversity and environment, biology and human future) 18 I like to study earth science part of science subjects. (One Earth, Living Earth, Mysterious Universe, Earth's Matter and Tectonic Fluctuations, Atmospheric Motion and Circulation, Ocean and Sea Water Circulation, Celestial and Universe, Geological Survey and Geology of Our Country) 19 I like to study the technology part of technology / home. (Understanding of industry, life skills, energy and transportation skills, construction skills) 20 I like to study the family part of technology / home. (Meal management, meal manners, family life design, family life practice, marriage and parenting, family life and housing) 21 I like the theory part of PE . 22 I like the practical part of physical education . 23 I like the theory part of music subjects . 24 I like to sing during my practice in music. 25 I like playing musical instruments during my practice of music. 26 I like the theory part of art . 27 I like drawing during my practice in art subjects (live, watercolor, still life, crayon, print) 28 I like to make arts in practice (sculpture, sculpture, craft). 29 She likes to design while practicing art. (Design, Design) 30 I like to study the following subjects in computer science . (Computer operating system, word processor, Excel, PowerPoint, computer communication) 31 I also like to study advanced computer functions . (Programming using computer language, hardware disassembly and assembly, data processing, etc.)

The number and content of specific surveys that make up the 'Academic Achievement' test in the subject preference database. number                         Questionnaire One Please indicate the average grade of Korean language subjects you have in your whole school. 2 What is your average grade in English subjects in all schools? 3 Please indicate the average grade of your second foreign language based on the whole school. 4 What is your average grade for Chinese language courses based on the whole school? 5 What is your average grade for moral subjects in all schools? 6 Please indicate the average grade of your history (national history) based on the whole school. 7 What is your average grade in social studies based on the whole school? 8 What is your average grade in mathematics as a whole? 9 What is your average grade in science? 10 What is your average grade for technical / family subjects based on the school level? 11 What is your average grade for physical education in all schools? 12 Please indicate the average of your grades in music. 13 What is your average grade in art subjects based on the whole school? 14 Please indicate the average of your grades in computer classes based on the whole school.

* The answer to the questionnaire is answered by multiple choice, with actual grade (grade 15) to grade 7, and the higher the score, the better the grade.

Each questionnaire of Table 1, 2, and 2 is specific but exemplary, and can be added, modified, or replaced according to the situation or the flow of time.

The department suitability database 120 according to the present invention is composed of a questionnaire for telling what departments and departments are most suitable for themselves in consideration of intellectual, social, and personal skills and literacy required when studying a major in college. have.

Each questionnaire constituting the departmental fitness database 120 is divided into three sub-items, specifically, 1) basic knowledge (judgement criteria: ability required to perform the course study), 2) learning environment (judgment). Criteria: subdivision and physical characteristics of the department), 3) academic characteristics (judgment criteria: the overall character of the discipline studied in the department).

The questionnaire constructed on this basis consists of the following Tables 3 to 5 in detail.

The number and content of the specific questionnaire for the 'basic knowledge' test in the department's fitness database. number Questionnaire 5 It is good to study numbers frequently and calculate them. 7 Rather than thinking for a long time and trying to understand, it is better to study quickly and make decisions quickly. 11 It is good to study because you need to be able to speak well to understand others and to accept your opinions. 14 It is good to teach others what I know. 18 While studying at the university, I want to do volunteer work to help the disabled and the elderly living in shelters. 20 It is good to be able to study well if you have new and original ideas that others cannot think of well. 23 As you study, you can tolerate the process of seeing the blood of living animals. 26 Rather than accepting facts as they are, it is better to point out problems and study logically right and wrong. 29 As you study, it's a good idea to talk about your ideas with others. 30 When studying, it is good to be able to make good use of meticulous and meticulous personality. 31 Not only do you need to understand when you study, but you can also study well if you need to memorize the contents correctly.

The number and content of specific surveys that make up the 'learning environment' test in the department's fitness database. number Questionnaire One When studying in college, it is often good to use physical strength. 4 When you study at university, it is good to have plenty of opportunities to present in front of you in class. 8 It is good to be able to experience what you have learned through hands-on practice. 9 It is good to study while experimenting with tools or machines in the laboratory. 13 Books are mainly in English, so it is good to study in English because English reading ability is an important part. 17 It is good to use a lot of computer when studying at university. 19 To learn how the machine works, it is good to touch, assemble and disassemble the small parts of the machine. 21 Rather than thinking alone and making decisions, it is better to gather ideas and help each other. 22 As you study, it's longer than your scheduled time, so you can put up with what you need to do during the night. 24 It is good to study that you need to go to frequent shows or exhibitions. 25 Instead of just sitting and reading a book, it's good to be active, like running and walking.

The number and content of the specific questionnaire that makes the 'characteristic' test in the department's fitness database number Questionnaire 2 It's good to be interested in what's happening or happening in society to help you study at university. 3 It is better to do practical studies that are closely related to real life than to theoretical studies in college. 6 It's good to learn how to build and run a company and make money. 10 It is better to look at, interpret, and study tables or graphs than to study with a written explanation. 12 It is better to read books on philosophy, religion, history, and literature than practical content. 15 It is easier to understand that the text of the book uses letters and symbols than is described in writing alone. 16 It is good to be interested in the natural phenomena around us and study them in detail. 27 I want to study other people's actions and minds. 28 It's a good idea to make something new or change the shape, shape, etc. to express what you think. 32 I have no objection to the cultures and customs of other countries and have fun studying them. 33 It is good not only to use a computer but also to make a program using computer language.

Each questionnaire of Tables 3 to 5 is also specific but exemplary, and can be added, modified, or replaced according to the situation or the flow of time.

Occupational environment suitability database 130 according to the present invention is a questionnaire that tells what departments and departments that can study to obtain a job of the desired condition in consideration of jobs that can have after graduating from college Is an aggregate

The composition of the questionnaire constituting the occupational environment suitability database 130 lists all the occupational environments corresponding to each occupation, and then, by type, is a collection of parts that are not redundantly and without omissions. It consists of a questionnaire made according to the principle. (Reference: Ministry of Labor's Vocational Psychological Test, Korea Vocational Information System 2005 Future Job World)

Occupation classifications based on this basis are detailed in Table 6 below.

Specific classification that makes up 'job type' in the work environment preference database Job Type Work environment / personality Related Jobs Professional Type P A career-oriented type with special knowledge and skills to gain stability and personal achievement Lawyer, Doctor, Patent Attorney, Management Consultant, Accountant, Financial Consultant Corporate Type E A type of competitive mind holder who values an active work environment and personal achievement Marketer, Human Resources / Treasurer Bureaucratic Type Br Type that prefers a stable work environment and a formal work schedule. Civil servants, teachers, public officials Self Employed Type B Type that wants a self-directed work environment and values interpersonal relationships Private businessman, insurance agent, sales expert Scholar Type S A type that emphasizes stability and internal development in career choices. Prefer consistent and consistent work Professor, Researcher Overseas Type G An international and open mind that values communication and personal achievement International lawyer, Overseas business related work, International organization worker, Corporate overseas business person

The occupation type is given a weight (very matched [9], matched [3], slightly matched [1]) according to the degree of consistency of the environment. The detailed questionnaire is as follows.

Specific survey contents that constitute the work environment preference database number question P E Br B S G One Those who graduate from our department receive a higher salary than those from other departments. ● △ ○ △ 2 After graduating from our department, we have jobs that allow us to have a lot of free time. ● ○ 3 Graduates of our department usually work long at a job. △ ● ○ 4 Many of our departments have jobs in which the work is clear and does not change often. ● ○ △ ○ 5 Many of our departments are engaged in jobs that tend to be concentrated at specific times, rather than constantly occurring. ○ ● ○ 6 After graduating from our department, we have a lot of jobs that do not change every few months and continue the same work. ○ ○ 7 After graduating from our department, we have a lot of expertise so that we can go free to work freelance without belonging to the organization. ● △ ○ 8 Our families have many jobs all day, mainly in the same place. △ △ ● ● 9 After graduating from our department, we often have to live in rural areas, not in big cities. ○ ● ○ 10 People from my department have a lot of business trips abroad. ○ △ ● 11 When we graduate from our department, we meet a lot of people involved in our work and have a job △ ● △ ○ 12 After graduating from our department, I have a lot of jobs that I keep in contact with strangers because of my work. ○ ● ● 13 After graduating from our department, there are many jobs with irregular commuting hours and irregular working hours. ○ ● △ 14 When we graduate from our department, we often work in a vibrant and fast-paced work environment. ○ ● △ ● 15 After graduating from our department, we work a lot in an environment where work is evaluated rather than interpersonal relationships. ● △ ● 16 Many of our students often prepare or acquire certifications with the same level of difficulty as notice. ● ● 17 After graduating from our department, we have a job where the members of the organization compete with each other more than other jobs. △ ● ○ 18 After graduating from our department, I have a lot of jobs in contact with or working with foreigners. △ ○ ● 19 After graduating from our department, we have many jobs that work in a relatively free atmosphere. ○ ● △ ○ 20 After graduating from our department, we have a lot of jobs that work mainly in comfortable attire rather than formal. ○ ○ ○ 21 Our departments have many jobs that do physically dangerous things compared to other departments. △ ○ 22 After graduating from our department, we have a lot of jobs that happen at irregular and unexpected times. ○ △ ● ○ 23 After graduating from our department, we have a lot of jobs with relatively high stress at work. ● ○ ○ ○ 24 After graduating from our department, we have many jobs that look nice and attractive to others. ● ○ △ ○ 25 After graduating from our department, we enter many places where we have many rights and responsibilities. ● ○ ○ 26 After graduating from our department, we have a lot of jobs to work with the know-how accumulated for a long time. ● ○ ● 27 After graduating from our department, cooperation and teamwork with other colleagues do many important things. ● ○ 28 After graduating from our department, we often have jobs outside of our company. ○ ● ○ 29 It is more advantageous for our department to graduate from undergraduate to graduate school. (The treatment of bachelor's and master's and doctorate differs a lot from other lessons) ○ △ ● 30 In our department, it is advantageous to go abroad to study abroad. ○ △ ● ● 31 After graduating from our department, we have many jobs that require new knowledge every day. ○ ● ● △ 32 After graduating from our department, we have a lot of jobs to come up with new and creative ideas. ○ △ ○ 33 After graduating from our department, we often have jobs that use machines or tools (except computers). △ △ △ 34 After graduating from our department, using a computer has many jobs. △ ○ ○ 35 When we graduate from our department, we often give presentations in front of people. △ △ △ △

 [● = very match ○ = match △ = little match]

Each questionnaire of Table 7 is also specific but exemplary, and can be added, modified, or replaced according to the situation or the passage of time.

The series preference database 140 according to the present invention is a collection of questionnaires that indicate what series can be studied most desired by considering contents and learning objectives of each major of the university.

In other words, the vocabulary and questions are reconstructed to make it easier for young people to understand based on the academic goals and the main contents of the college.

There are 10 divisions of colleges, and the detailed questionnaire of each college is as follows.

1. Humanities

1) It is not an applied science that produces the specialized and special knowledge necessary for real life, but it is not just a study of specialized knowledge, but a study that cultivates and transmits the universal truth and values of 'life', '앎' and 'ham'. want to learn.

2) I would like to study the basic cultural thoughts of human beings and the phenomena that accompany them by developing critical thinking ability and insight through history, society, and culture through general inquiry and extensive cultural knowledge.

3) I want to recognize the cultural diversity and universality of the world by studying a wide range of knowledge, and also study in depth the laws and concreteness of human history development.

2. Society

4) I would like to learn basic research on various aspects of human life such as politics, economy, society, and culture, and develop basic skills to diagnose and prescribe the problems of human society.

5) I would like to devote myself to researching unemployment, poverty, social insurance, welfare for the disabled, elderly welfare, children's welfare, family welfare, industrial welfare, mental health, medical services, etc. and to find ways to promote the well-being of our society.

6) I would like to solve various social problems in our society by developing in-depth understanding, sharp analysis, and careful judgment.

3. Law

7) Through systematic education of law and neighboring social sciences, basic professional education necessary for the legal profession can be provided to contribute to the development of the state, especially the establishment of the rule of law, in various fields of society such as legal, political, academic, and business. I want to study.

8) I want to be an intellectual with extraordinary passion for social justice, cold intelligence, logical judgment, and rational thinking.

9) Existential values are identified in justice, which shines through the overcoming of the 20th century injustice and the formation of communities living together in the 21st century. In this way, the inhabited world wants to be a talented person who strives for justice to live and breathe anywhere.

4. Sangsang

10) I would like to learn various problem-solving skills to develop strong leadership to cope with the rapidly changing economic and business environment.

11) I would like to be a talented person with a strong sense of corporate ethics so that I can fully fulfill the social responsibilities of the company and acquire the knowledge that the 21C Advanced Information Society should have.

12) In today's rapidly globalized world, I would like to work with international sense and creativity, systematically and scientifically analyze social and corporate phenomena, and suggest creative alternatives.

5. Life Science

13) I would like to study the essence of home and life culture industry such as food, food, food, textile / fashion, children and elderly industries.

14) I would like to study to be a professional in each field as much of the traditional functions of a general family (family) are highly industrialized.

15) As a comprehensive science that researches and practices the interaction between human beings as a social being, neighboring environment and resources, I would like to study to improve the quality of human life, maintain / develop the human environment, and promote human development.

6. Natural Science

16) I would like to explore the principles of the material world from the origin of the universe and matter to life phenomena in a scientific way.

17) I would like to study with endless curiosity and passion for natural phenomena towards human prosperity and abundant future.

18) I would like to cultivate the ability to actively cope with the development of modern science and technology by understanding the contents and methods of natural science, rather than living in advanced science age.

7. Engineering

19) I want to study to become a technology leader of an industry that will be in charge of introducing new technologies and improving productivity in preparation for the advanced brain industry era.

20) I hope to become a competent person who will contribute to the improvement of human life and the construction of a welfare society by developing the ability of creation and application and equipping them with accurate judgment and practical ability.

21) I would like to study to improve the productivity of the entire industry and to develop the society by studying profound theories and practical application methods of advanced science and technology and fostering engineering thinking and field adaptability.

8. Medicine

22) I would like to learn about theories and applications of each stage of research, development, production, preparation and clinical application of medicines for the prevention, diagnosis and treatment of human diseases and related medicines and contribute to the improvement of public health.

23) I would like to play a pivotal role in all aspects of pharmaceuticals, including research in fine chemistry and advanced life sciences.

24) I want to serve the society with an international perspective and active attitude to understand and solve domestic and foreign health problems.

9. Teacher

25) I would like to study the ability to comprehensively understand and criticize educational phenomena from an educational perspective, and to develop creative critical thinking and information literacy to proactively cope with educational changes in the future society.

26) I think it is important to convey all the knowledge and culture accumulated in previous history to future generations, and I want to do the noble work of creating new knowledge and culture by developing the infinite possibilities of human beings.

27) I want to be an educational leader who can take charge of various forms of professional education in a highly complex modern society.

10. Arts and Physical Education

28. Emotional education is important for healthy living and social development, and aims to promote mutual harmony and enrichment and happiness of mental life. Therefore, I would like to receive systematic education for diversifying growth / cultivation of human emotion.

29) I would like to cultivate the skills required in modern society by acquiring theories and practical skills on activities that pursue the convenience and beauty of human life.

30) I would like to promote professionalism with an understanding of all fields of art covering the East and the West, and play a role as a worker in the commercial / artistic creative field that has artistic literacy and knowledge.

The tester database 150 according to the present invention includes three databases among the four databases 110, 120, 130, and 140 consisting of the above-described questionnaires, that is, the subject preference database 110, the department suitability database 120, and the work environment preference. On the basis of the database 130, a questionnaire is conducted based on actual graduate students to calculate a numerical value for each questionnaire within a major category of each major, and relates to a sheet-processed database.

The generation of the tester database 150 and the numerical processing method of the numerical comparison calculation module 220 to be described later are made by an advanced mathematical technique called quality function development (QFD). Briefly describing the quality function deployment method, it is a method designed to clearly define the customer's needs defined through the design / operation supporting the production management system and the product design process. Product Planning), Convert Technical Needs to Part Characteristics (Product Design), Process Characteristics for Part Characteristics, Define Steps and Parameters (Process Planning), and Set Control Methods for Process Characteristics (Process-Control Planning) It is often used to design information systems and organizational structures.

The tester database 150 can be derived by applying such a QFD method. Specifically, each department is a graduate student who is studying at a graduate school of major universities such as Seoul National University, Yonsei University, and Korea University. More than 400 people are asked about the questionnaire of the three databases 110, 120, and 130 for each major and department.

The reason for the selection of sample groups, especially graduate students and above, is that students from major universities with relatively strong willingness to choose their majors have better academic achievement than other university students, so they can trust the meaning of sample groups. This is to establish a standard that can be directly and more practical to current secondary and secondary school students because it has a chance, and furthermore, the commonly known vocational department selection theory is not just a theory but a realistic academic selection standard. Of course, it is not limited to the above-exemplified colleges, but it is also preferable to expand the selected colleges and to expand the number of students who respond to the questionnaire to make it more universal and reliable.

When the questionnaire is conducted through the graduate students of each major group, which is the sample group, the number evaluated by each student in each questionnaire may be calculated as the above-mentioned seven-point scale.

Specifically, in the subject preference test through the subject preference database 110, preference and non-preferred preferences are displayed for each questionnaire based on the 7-point scale, and the achievement is based on actual grades (classification of 15 grades) to 7-point scale. Enter virtually changed to 7th grade based on (Lower, Lower, Lower, Middle, Middle, Upper, Lower, Upper). The numerical value of the indicated preferences is compared with the response of graduate students in each major to derive the most appropriate department and series.

In the departmental fitness test through the departmental fitness database (120), the appropriateness characteristics of each department are derived from the questionnaire scored by graduate students in each department, and the three subdomains of basic knowledge, learning environment, and academic characteristics are derived. Specific characteristics are derived.

In the work environment test through the work environment preference database 130, a predetermined weight is assigned to the answer checked by the graduate student, and a result value is derived accordingly.

In other words, the reactions of graduate students in each major can be summarized as follows. Preference (work environment database) is derived. If the derived numbers are ranked by each department, the degree of correspondence for each major can be derived according to each questionnaire of subject preference, department suitability, and environmental preference, and the tester is a collection of data including the four test results. Database 150.

The standard comparison database 160 according to the present invention is to secure the reliability of the tester database 150, and is normalized to offset the difference between the major and the low major of the overall response of the tester database 150. It means the database that is finally used through the process. 'Normalization' can be interpreted in various ways in the IT field, but the meaning of normalization in the present invention is a series of calculations that yield a general and average number of students in each department in order to reduce the error of the numerical value caused by the extreme answer. Means a course and a set of weights to prevent a differentiation from other majors due to the simple addition of the score according to the answer by means of a predetermined weight, for example, the work environment preference test database 130 According to the graduate student's score, the sum of the values multiplied by the predetermined weight is calculated, and the weighted value is obtained by using a known method, for example, the AHP method. It is by calculating the unique rank for the occupation type by calculating the result. .

The questionnaire evaluation module 210 according to the present invention is a subject of actual secondary school students who are subjects of the department selection examination sequentially for each questionnaire in time series according to a program set in an online web site supported by the system according to the present invention. It checks the whole questionnaire by scoring it. The questionnaire evaluation module 210 may be applied to all the department selection tests according to the four databases or may be configured to be separated into a pair contrast bridge module 230 for the inspection of the system preference database 140.

Due to the questionnaire evaluation function according to the questionnaire evaluation module 210, the subject prepares the basis for deriving his own preference as a numerical value.

 Numerical comparison calculation module 220 according to the present invention has a unique characteristic of the subject by comparing the numerical value derived by the subject to answer each question and the numerical value of graduate students configured by each department of the standard comparison database 160 It is responsible for regenerating numbers. Specifically, the comparative processing method for regenerating the numerical value having the unique characteristics of the subject is a process of multiplying the numerical value of the graduate student on the standard comparison database 160 for the numerical value of the subject and the corresponding questionnaire, and additionally assigns a predetermined weight to each questionnaire. This is achieved in such a way as to.

For example, explaining the process of multiplying the number of graduate students in the standard comparison database 160 with the number of subjects, 'The Korean language course helps me study my major.' Korean students and students responded 7 points ('completely') and 2 students responded to electronic engineering ('almost not') and the test subjects' preference for Korean language subjects If the score was 5 (the answer is 'somewhat'), the student's fitness score for the Korean language course was 5 * 7 = 35 points and the fitness score for the electronics course was 5 * 2 = 10 points. Multiplying the graduate student's response (the value derived from the answer) and the student's response (the value derived from the answer), the correspondence of the entire department for each questionnaire is derived and displayed as the final value unique to the subject.

The reason for multiplying the graduate student's derived number with the derived student's derived value instead of directly using the derived value of the subject is to calculate a new regeneration value. Since it is difficult to select priorities or errors may occur during the selection of the departments to be pursued, these initial subjects' derivation figures can be multiplied by comparing them with those of graduate students. In addition to reducing, to calculate a more accurate preference.

In addition, the departmental fitness test may support supplementary explanations for the questionnaire with the lowest number of derived values, which means that the supplementary explanation provides more detailed complementary information as the subject improves understanding and receives the lower level. The graduate student of the department with the lowest number required to ask the subject had specific background and requirements for the two questions compared to the two highest scores in the sub-items such as basic knowledge, learning environment, and academic characteristics. Give supplementary explanations. This supplementary description may be included in the final major selection result and may be displayed.

In addition, in the work environment preference test, it is possible to derive the numerical value of the subject and the graduate student by using the Delphi Hierarchy Process (DHP) method, which can reflect objective aspects and sufficient opinions of experts in determining priorities over AHP. Do. In addition, in the occupational environment preference test, a weight that is set by the subject is pre-set, a value obtained by multiplying the numerical value and the weighted value, and then normalized to prepare a basis for calculating the rank for the occupation type. It may be.

Until now, the configuration and processing method of module for subject selection of subjects applying QFD method was described. In contrast, the system preference test according to the system preference database 140 is performed through an analytic hierarchy process (AHP). The system according to the present invention provides a pair-to-pair bridge module 230 for this process.

The pair contrast module 230 according to the present invention supports the time series of exposure of each questionnaire to the subject in the same manner as the questionnaire evaluation module, but provides a specific exposure so that each questionnaire can be compared to 1: 1. By providing a method, the subject performs a function of deriving relative preferences such as major goals of each college.

Hierarchical Analysis (AHP) is a way of capturing the knowledge, experience, and intuition of evaluators through pairwise comparison between the elements that make up the hierarchical structure of decision making. And make the form of hierarchy and then pair-wise compare the elements that make up the hierarchy one-to-one.The result of the comparison is to calculate the weights of the elements by the eigenvector method of linear algebra. Multiplying the weighted factors from the upper layer to the lower layer yields the final weight of the decision-making alternative, and it is a series of methods to make a decision.

Based on the hierarchical analysis method (AHP), the pairwise comparison module 230 according to the present invention displays each questionnaire to the subject in a pairwise comparison format such as humanities vs. society, humanities vs. humanities, engineering vs. engineering to obtain an answer. Next, the relative preferences are predicted through the derived values. Specifically, it measures how much each college is preferred or not compared to other classes according to the high and low values. For example, if the questionnaire on the left side of the questionnaire display shows 'I like watching soccer games' and the questionnaire on the right side says 'I like watching basketball games' To quantify this, "1- Left is very good, 2- Left is generally good, 3- Left is slightly better, 4- Similar, 5- Right is slightly better, 6- Right is generally Is good, 7-right is very good ”so that the subject can choose one of the answers.

Based on the four different databases, the number obtained by the function of each module is selected, for example, a number of the highest scores for each test, for example, five departments, which is the priority processing module 240. This is achieved by the function of.

In other words, the priority processing module 240 according to the present invention classifies the score for each department by sheeting the numerical values for the tests obtained according to the four databases 110, 120, 130, and 140 for each department. Then, this sheeted data is sorted from high rank to low rank for each department to provide a function of extracting a certain number of the highest numbers, that is, five departments in order according to the high number. .

The priority processing module 240 displays the results of each test based on four databases, along with graphs and additional explanations for each test, and each of the higher departments (the most suitable subjects) and the lower departments (the most unsuitable subjects). It also has a function to give a detailed explanation for each.

Here, the system according to the present invention additionally provides a consistency check module 260, the consistency check module 260 is located at the height of the error range according to the degree of error of the priority department obtained through each of the four types of tests. Therefore, it divides A level into E level into 5 levels and provides the function to check whether it is consistent.

That is, for example, if the Department of Literature prefers the Department of Korean Language and Literature to the Department, and if the Department of Physics is the Priority to the Department of Fitness, it is predicted that the student did not answer the question in good faith. This is to catch the error, which first checks whether there is a difference in the series, and if a different series is derived for each result, the error is evaluated as severe. However, when derived from different departments (e.g., different from Korean and English departments), the degree of error is considered to be insignificant. With this information, you can be confident or in control of your career If there is so far not give advice.

Finally, the department selection module 250 according to the present invention compares all the values derived from these four databases 110, 120, 130, and 140, evaluates the relative importance according to the four types of tests, and then applies a preset weight. As a result, the calculated result is taken as the final value, and finally the subject and the class of the subject are selected.

In order to apply the weights, the department selection module 250 first performs a comparison with the answer values of each questionnaire through the expert group database 170. The expert group database 170 forms a celebrity for each major or an expert for each major as a pool of talents, and the figures are obtained by surveying the personnel of these groups through the four databases 110, 120, 130, and 140. Refers to the data to be compared and normalized. In other words, it can be understood as an extension of the standard comparison database 160 obtained for graduate students for each major described above.

The department selection module 250 compares the values of the four different types of tests with those of the questionnaire of the expert group database 170 and normalizes them. Compared with the three test results, the final result is selected by correcting the results that show unreliable numbers and averaging them through the addition of each value.

The department selection module 250 may also provide additional explanations for each department's priorities for the final department selection, which may be displayed in a graphic or graph form so that the subject can easily recognize the subject.

As described so far, the structure and operation of the departmental selection system and method thereof according to the present invention have been expressed in the above description and the drawings, but this is merely described by way of example, and the spirit of the present invention is not limited to the above description and the drawings. Of course, various changes and modifications are possible without departing from the spirit of the present invention.

As described above, according to the departmental selection system and method thereof according to the present invention, the graduated students and experts in each department are first tested to generate normalized standard comparison data, and then, By combining the test results of the test subjects, a more realistic and reliable subject selection result can be obtained.

In addition, the QFD or AHP method can be applied to the department selection examination system to draw conclusions of more scientific and systematic department selection, and also to reveal the inconsistent test results of the subjects and to have the accuracy of the results.

Lastly, subjects can be classified and analyzed in each sub-sector by subdividing the disposition tendency of subjects, which can have the effect of obtaining practical and practical results.

Claims (8)

As a departmental selection system, A subject preference database (110), which is classified into four kinds of small groups and serves as a basis for a question about the subject, and which contains a questionnaire asking the subject's subject preference; A departmental fitness database 120 which includes a questionnaire asking each of three kinds of inclinations by specializing in the subject's learning environment, basic knowledge, and academic characteristics; A job environment preference database 130 including a questionnaire asking about job preference characteristics of subjects by forming six job groups; A series preference database 140 including a questionnaire asking a subject about characteristics of a series field to which a department belongs; In the four databases (110, 120, 130, 140) through the subject preference database 110, department suitability database 120, occupational environment preference database 130 to obtain a numerical value through a certain number of populations recruited for each major and again A standard comparison database 160 for sheet processing and sorting normalized by departments; A questionnaire evaluation module 210 for displaying the questionnaires of the four types of databases 110, 120, 130, and 140 in time series to a subject to obtain a numerical value for each questionnaire; A pair-to-bridge module 230 for displaying a questionnaire for the series preference database 140 to a subject in a pair-to-bridge format to obtain a comparison value for each questionnaire; The number of subjects obtained for each question from the subject preference database 110, the department suitability database 120, and the work environment preference database 130 is compared with the questionnaire values of each sheet of the standard comparison database 160, and the weights of the subjects are compared. Numerical comparison calculation module 220 for generating the final numerical value for each questionnaire of the subject; A priority processing module 240 for extracting a predetermined number of priority departments for each of the four types of final values of the subjects obtained through the numerical comparison calculation module 220 and the pair comparison module 230; The department selection module 250 for selecting the appropriate department for the subject finally by processing and averaging the numerical values for the respective priority departments according to the four types of databases 110, 120, 130, and 140. The department calculating module 250 further includes an expert group database 150 that averages the number of the results of the questionnaire survey through the four databases 110, 120, 130, and 140 by grouping a predetermined number of experts for each major, The department sequence selection system, characterized in that the weight is given by comparing the number of subjects according to the four priority departments with the expert group database (150). delete The method of claim 1, Consistency check module that compares the four departments having a predetermined number obtained through the priority processing module 240, extracts a relative error degree, evaluates and displays the degree of consistency as 5 grades according to the error degree. (260); the department-based selection system further comprising. As a departmental selection method, A first step of databaseing a plurality of questionnaires for a subject preference test, a departmental suitability test, a work environment preference test, and a series preference test, and determining a predetermined number to be obtained according to an answer to each questionnaire; A second step of generating a standard comparison database by normalizing numerical values obtained by performing a subject preference test, a departmental fitness test, and a job environment preference test among the four types of tests through a predetermined number of graduate students for each major; A third step of performing four types of tests on the subjects to obtain numerical values for each questionnaire of the subjects; Among the four types of tests, the subjects' preferences, the subject's suitability test, and the occupational environment's preference test were compared with those of the graduate students.Then, the weights were assigned to each subject in the QFD (Quality Function Developement) method. A fourth step of deriving a final value; Among the four types of tests, the final value of the subject is derived by assigning predetermined weights to the values obtained through the pairwise comparison of each questionnaire through the Analytic Hierarchy Process (AHP) method in the series preference test. A fifth step of extracting; And a sixth step of selecting final departments by summing and comparing four final values of the test subjects obtained in the above steps 4 and 5, wherein the department is selected. The method of claim 4, wherein Normalizing the numerical value obtained by the graduate student in the second step is to offset the difference between the major value is high and low-valued major according to the questionnaire, department selection method. The method of claim 4, wherein And multiplying the numerical values of the graduate students for each major and the numerical values of the subjects in order to derive the final numerical value of the subjects in the fourth step. The method of claim 4, wherein In the fourth step, a predetermined number of priority subjects of the subject derived through the departmental fitness test are displayed to the subject in comparison with the predetermined number of subjects with the lowest number of subjects. And providing complementary data to the subject as compared to the two surveys with the highest scores for the test. The method of claim 4, wherein In the fourth step, the occupational preference preference test gives a predetermined weight to the numerical value selected by the subject, adds a value multiplied by the numerical value and weights, and then normalizes to derive a priority for the occupation type. How to select a department.

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