• Journal of Digital Convergence
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• v.14 no.7
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• pp.167-174
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• 2016

The university and college turn into the field of job readiness to get a good job and students build a lot of job specification than others and are constantly studying for employment. Then since employment, some people are fortunate to keep the job for lifetime, but for many people work in the workplace did not meet his aptitude with patience and some people move for work several times without perseverance. One of the reasons for job dissatisfaction is that the job does not fit his aptitude. Meantime many organizations conducted the aptitude(Psychology) test. There are limits, however, to find a suitable job. This study was presented as a model of a platform that is a rational and scientific alternative to search course and job. This model is to better understand the individual characteristics using Big data and artificial intelligence, offers several jobs to meet the characteristics among the various professions selectively and supports to select and design an appropriate job based on the field experience, consulting and mentoring.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.6
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• pp.3609-3615
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• 2014

This study examined the difference in the item characteristics in multiple-choice aptitude tests focusing on the response position, response length and question types. A university aptitude test consisting of 80 questions was used for this study. The subjects were 3120 senior high school students from 80 schools nation-wide (liberal arts-1650, natural sciences-1467 patients). The results suggest that item prediction is higher for numbers 2 and 3 (located in the middle) than numbers 1 and 4. The item discrimination was higher for pick-the-'wrong'-items than pick-the-'right'-items. In addition, longer choices are preferred. The suggestions for future research are provided based on these findings.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.9
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• pp.82-92
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• 2019

The purpose of this study was to analyze the relationship and degree of agreement between the six types of Geometry Psychological Assessment (GEOPIA) and four functions of the Myers-Briggs Type Indicator (MBTI) personality test, and to investigate the appropriate level of vocational aptitude commonly recommended by each tool. A total of 377 adult men and women from Korea, aged between 19 and 70 years, were tested using GEOPIA and the MBTI. Cronbach's alpha was calculated to verify the validity and reliability of the measuring tools, and the mean and standard deviation of each variable were calculated. Also, a cross-sectional analysis was conducted to examine the relationship between GEOPIA and the MBTI. The results showed that Round/Triangle (RT) types, Round/Box (RB) types, Triangle/Box (TB) types and Box/Curve (BC) types among the GEOPIA personality types are highly related to MBTI's Sensing/Thinking (ST) types. GEOPIA RC types were related to Intuition/Feeling (NF) and Sensing/Feeling (SF) types, and TC types were highly related to Intuition/Thinking (NT) types. Based on the common characteristics of the two tests, the findings suggest appropriate levels of vocational aptitude. Through this research, it was confirmed that GEOPIA (a Korean psychology and personality test) can be used in counseling, coaching, and education, and above all, is a reliable tool for vocational psychological assessment to search for career aptitude.

• International journal of advanced smart convergence
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• v.11 no.2
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• pp.38-43
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• 2022

In this study, there are many difficulties in defining and judging creative people because there is no systematic analysis method using accurate standards or numerical values. Analyze and judge whether In the previous study, A study on the application of rule success cases through machine learning algorithm extraction, a case study was conducted to help verify or confirm the psychological personality test and aptitude test. We proposed a solution to a research problem in psychology using machine learning algorithms, Data Mining's Cross Industry Standard Process for Data Mining, and CRISP-DM, which were used in previous studies. After that, this study proposes a solution that helps to judge creative people by applying the feature selection algorithm. In this study, the accuracy was found by using seven feature selection algorithms, and by selecting the feature group classified by the feature selection algorithms, and the result of deriving the classification result with the highest feature obtained through the support vector machine algorithm was obtained.

• Journal of Korean Public Health Nursing
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• v.11 no.2
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• pp.180-193
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• 1997

This study was designed to set up more developed curriculum in Nursing department of a junior college. The sample for the study were fifteen curriculums of fifteen selected junior colleges in Seoul and Kyunggi area. The credits and hours of each curriculum were analyzed into means and compared with the one of the example college. The data were categorized into seven sections; cultural subject, basic medical science, major subjects such as Nursing, Fundamental Nursing, electives, teaching and non-teaching subjects, and clinical practice. The data were analyzed by means of descriptive statistics. The results of the study were as follows; 1. Credit hours of Cultural subjects of each college ranges from $5.8\%\;to\;25.7\%$ of the total graduate credit hours; most commonaly lectured subjects are English 05 colleges), Korean (11 colleges), psychology (10 colleges), and computer (10 colleges). 2. In the case of the example college, Anatomy and Psychology were jointed as one subject, Basic Nursing Science, and some more study in depth should be made to develop more of this type of conjunction among related subjects on basic medical science. 3. As for the mendatory subjects of the example college, subjects on Adult Nursing was fourteen credits (14 hours), which was higher than the average 12.9 hours of other colleges compared. 4. Credit hours of Basic Nursing Laboratory were eight to ten credits (12-18 hours), which was higher than actual class hours. As more and more hospitals test clinical aptitude when recruiting nurses, more emphasis should be paid to the clinical practice. 5. Among fifteen sample curriculums six to twelve electives were offered with twelve to twenty-three credits. Most commonly opened subjects were Physical Examination (5), Nursing English (14). and Geriatrics Nursing (13). Nursing English are considered to be more important in the view of clinical practice. and Oriental Nursing, Nursing Information and Health Insurance Management should be considered as specialized subjects. 6. Teaching and Non-teaching subjects In case of the example school. Clinical Emergency Medicine, Introduction to Emergency Medicine were offered for these non-teaching class students so they could prepare for the qualification examination. 7. Clinical Practice The average credit hours for clinical practice of the sample college were 20.9 credit hours $(66.5\%)$ and the example school offered twenty credit hours which was slightly lower than the other forteen.