• Title/Summary/Keyword: learning center

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A study on the Evaluation of Reading Ability for the Literature Reading of Korean College Students: the Freshmen of A University (우리나라 대학생들의 문헌 독해능력 평가 연구 - A대학 1학년생을 대상으로 -)

  • Lee, Jong-Moon
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.21 no.3
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    • pp.17-27
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    • 2010
  • This study aimed to identify the problems of college students in reading the literature and on the basis of the identified problems, to suggest the approaches to solve the problems. To this end, time required for reading passages, reading patterns, understanding, memory and reading habits and attitudes were analyzed with the freshmen in A university. In accordance with the analysis results, 58% of subjects was good and 42% was not sufficient on the basis of the averages in Scholastic Aptitude Test. Second, 77% of subjects had the good patterns but 23% showed certain problems in reading patterns. Third, 69% and 67% of subjects illustrated good results in the analysis on understanding and memory, respectively. However, 31% and 33% were evaluated as being on the general level or requiring efforts in the analysis on understanding and memory, respectively. Next, according to the analysis on reading habits and attitudes, 77% had no problems but 23% required improvement. For solving the problems identified through the analysis, it is recommended to develop the scientific and standardized evaluation tools for evaluating the reading ability of college students. Second, it is necessary to evaluate the reading ability, habit and attitude during the screening process for admission or after admission. Finally, it is required to operate the Fundamental Academic Ability Learning Center(tentative name) to improve the ability of students who show the insufficient results in evaluation.

Screeening of Natural Plant Resources with Acetylcholine esterase inhibitory activity and Effect on Scopolamine-induced Memory Impairment (천연식물자원으로부터 Acetylcholine esterase 저해 활성 탐색 및 인지기능에 미치는 영향)

  • Choi, Jang Won;Won, Mu-Ho;Joo, Han-Seung
    • Journal of agriculture & life science
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    • v.45 no.6
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    • pp.213-226
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    • 2011
  • This study was performed to investigate the effect of essential oils and ethanolic extracts of approximately 650 plant species on acetylcholine esterase (AChE) enzyme activity using Ellman's colorimetric method in 96-well microplates. The results showed that the ethanolic extracts from twig of Sophora subprostrata, twig of Phellodendron amurense, seed of Corylopsis coreana, and essential oil (EO) from Citrus paradisi, Cupressus sempervirens, Ocimum basilicum, Pinus sylvestris and Rosmarinus officinalis inhibited more than 80% of AChE activity. Among these, EO from Pinus sylvestris, C. sempervirens and C paradisi exhibited higher values of AChE inhibitory activity, which were 75, 84 and 99% at a concentration of 50 ug/ml, respectively. Finally, EO from C paradisi (grapefruit, GEO) showed the highest inhibitory activity towards AChE, which showed 91% of inhibition at a concentration of 20 ug/ml. We also examined the anti-dementia effects of GEO in mouse by passive avoidance test and Morris water maze test. The model mouse (male, ICR) of dementia (negative control) was induced by administration of scopolamine (1 mg/kg body weight). The latency time of sample group administrated with GEO (100 mg/kg, p.o.) increased significantly as compared with negative control on passive avoidance test. There were significant recovery from the scopolamine-induced deficits on learning and memory in water maze test through daily administrations with GEO (100 mg/kg, p.o.). From these results, we conclude that GEO treatment might enhance the cognitive function, suggesting that the EO of C. paradis may be a potential candidate for improvement of perceptive ability and dementia.

A Comparative Study on Institutional Influence Factors of Firm's Motivation of Participating and Investing in Apprenticeship in Germany and Korea (기업의 도제훈련 참여 및 투자 동기의 제도적 영향요인: 독일-한국 비교 연구)

  • LEE, Hanbyul
    • Korean Journal of Comparative Education
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    • v.27 no.1
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    • pp.247-284
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    • 2017
  • The purpose of this study is to analyze firm's motivation of participating and investing in apprenticeship in Germany and Korea, and to investigate institutional factors influencing firm's motivation. By comparing institutional factors of the two countries, it aims to drawing out policy implications for improving Korean apprenticeship. The main method for data collection was comprehensive literature review on international organizations, each countries' government and research institutes' policy materials, statistical data, research outputs and media resources related to each countries' apprenticeship. Considering whether firm's motivation for participating and investing in apprenticeship is production-oriented or investment-oriented, Germany is more inclined to investment motivation with firm's covering net cost during apprenticeship period. On the other hand, Korea is more inclined toward production orientation with firm's expectation of gaining net profit during the training period. Why is firm's training motivation different in these two countries? The author tried to find the reason from the difference of institutional factors of the countries by dividing institutional factors into 4 categories: context(tripartite relations, legal framework), input (flexibility of the system, government incentive), process(training contents, training duration, quality assurance), and output(completion/retention rate, apprentice's productivity). The key implication from the comparative analysis of institutional factors is that it is necessary to enforce companies to have "accountability" on the minimum critical elements, but also to ensure them to have "autonomy" on the rest of the elements.

The Impact of the Youth's Positive Psychological Capital to Reemployment Attitudes (20대 청년들의 긍정심리자본이 재취업 태도에 미치는 영향)

  • Choi, Young-Joon;Park, Geum-Ju
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.10
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    • pp.40-46
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    • 2019
  • The purpose of this study is to investigate the effect of positive psychological capital on re-employment attitudes of youth in their 20s dealing with an unemployment rate of more than 10%. The effect of positive psychological capital on attitudes for re-employment was analyzed by domain, and is based on variables of positive psychological capital composed of self-efficacy, hope, resilience, and optimism. As a result, hope (3.64) was the highest on the scale; however, resilience (at 3.37) was the lowest. In the analysis of positive psychological capital, the university graduate group (3.89) was the highest. But, the high school graduate group (3.25) was the lowest. In the results for re-employment attitude based on education level, the university graduate group (4.93) was the highest, but the high school graduate group (3.80) was lowest. The main variables influencing re-employment attitude were (in order): hope, optimism, self-efficacy, and resilience. These factors have an explanatory power for the four variables of around 25%. Overall, young adults (in their 20s) have higher levels of positive psychological capital because they have a higher education level. Also, higher educated re-employed applicants have higher positive psychological capital and attitudes for re-employment, compared to the other groups.

A Study on the Build of Equipment Predictive Maintenance Solutions Based on On-device Edge Computer

  • Lee, Yong-Hwan;Suh, Jin-Hyung
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.4
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    • pp.165-172
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    • 2020
  • In this paper we propose an uses on-device-based edge computing technology and big data analysis methods through the use of on-device-based edge computing technology and analysis of big data, which are distributed computing paradigms that introduce computations and storage devices where necessary to solve problems such as transmission delays that occur when data is transmitted to central centers and processed in current general smart factories. However, even if edge computing-based technology is applied in practice, the increase in devices on the network edge will result in large amounts of data being transferred to the data center, resulting in the network band reaching its limits, which, despite the improvement of network technology, does not guarantee acceptable transfer speeds and response times, which are critical requirements for many applications. It provides the basis for developing into an AI-based facility prediction conservation analysis tool that can apply deep learning suitable for big data in the future by supporting intelligent facility management that can support productivity growth through research that can be applied to the field of facility preservation and smart factory industry with integrated hardware technology that can accommodate these requirements and factory management and control technology.

Classification Modeling for Predicting Medical Subjects using Patients' Subjective Symptom Text (환자의 주관적 증상 텍스트에 대한 진료과목 분류 모델 구축)

  • Lee, Seohee;Kang, Juyoung
    • The Journal of Bigdata
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    • v.6 no.1
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    • pp.51-62
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    • 2021
  • In the field of medical artificial intelligence, there have been a lot of researches on disease prediction and classification algorithms that can help doctors judge, but relatively less interested in artificial intelligence that can help medical consumers acquire and judge information. The fact that more than 150,000 questions have been asked about which hospital to go over the past year in NAVER portal will be a testament to the need to provide medical information suitable for medical consumers. Therefore, in this study, we wanted to establish a classification model that classifies 8 medical subjects for symptom text directly described by patients which was collected from NAVER portal to help consumers choose appropriate medical subjects for their symptoms. In order to ensure the validity of the data involving patients' subject matter, we conducted similarity measurements between objective symptom text (typical symptoms by medical subjects organized by the Seoul Emergency Medical Information Center) and subjective symptoms (NAVER data). Similarity measurements demonstrated that if the two texts were symptoms of the same medical subject, they had relatively higher similarity than symptomatic texts from different medical subjects. Following the above procedure, the classification model was constructed using a ridge regression model for subjective symptom text that obtained validity, resulting in an accuracy of 0.73.

Development of a method for urban flooding detection using unstructured data and deep learing (비정형 데이터와 딥러닝을 활용한 내수침수 탐지기술 개발)

  • Lee, Haneul;Kim, Hung Soo;Kim, Soojun;Kim, Donghyun;Kim, Jongsung
    • Journal of Korea Water Resources Association
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    • v.54 no.12
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    • pp.1233-1242
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    • 2021
  • In this study, a model was developed to determine whether flooding occurred using image data, which is unstructured data. CNN-based VGG16 and VGG19 were used to develop the flood classification model. In order to develop a model, images of flooded and non-flooded images were collected using web crawling method. Since the data collected using the web crawling method contains noise data, data irrelevant to this study was primarily deleted, and secondly, the image size was changed to 224×224 for model application. In addition, image augmentation was performed by changing the angle of the image for diversity of image. Finally, learning was performed using 2,500 images of flooding and 2,500 images of non-flooding. As a result of model evaluation, the average classification performance of the model was found to be 97%. In the future, if the model developed through the results of this study is mounted on the CCTV control center system, it is judged that the respons against flood damage can be done quickly.

Research on Development of a Customized Nursery School for Nurses (간호사를 위한 맞춤보육어린이집의 개발에 관한 연구)

  • Kang, Ki-Seon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.3
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    • pp.407-416
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    • 2019
  • This study is about a Customized Nursery School where working women can support work - life balance and a reduction in retirement or turnover. The research method is to identify the current status of Customized Nursery services and to recognize the recognition and need of the operation of Customized Nursery School. The importance of securing skilled nurses and preventing them from changing their jobs for the health and safety of people cannot be emphasized enough. A Customized Nursery School must be opened to reduce the retirement or change of jobs of working women nurses and to provide care for continuous work in three shifts from 365days to support the balance between the working mother and family. It is considered that nurses will put their children in relief when using retired nurses who have the ability to work 24hour rotation in a Customized Nursery School and when a Customized Nursery School be ran suited for the condition and demand of working women nurses, it is expected to reduce retirement and the change of jobs, also to give positive effect on marrige and family planning which would make improvement in low birthrate. To activate the Customized Nursery School, Creating a secure learning environment and qualification of educators great effort should be put. A program curriculum based on 'basic life and habits' should be the center of education. Continuous management and effort will need to be placed in continuous development of educators.

An Analysis of Program Types for School Reading Education Included in the 100 Excellent Curriculum by Multiple Intelligences (다중지능을 활용한 100대 교육과정의 학교 독서교육 프로그램 유형 분석)

  • Lee, Kyeong-Hwa;Song, Gi-Ho
    • Journal of Korean Library and Information Science Society
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    • v.50 no.1
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    • pp.85-103
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    • 2019
  • This study aims to analyze the direction of the reading education programs based on the 2015 revised curriculum and to seek the plans for the school library and the teacher librarian to be able to contribute them. For this purpose, the types of school-based reading education programs in the report of 100 excellent school curriculum in 2016, which was first applied by the amended curriculum were analyzed through multiple intelligences. Upon the analysis results, the reading education programs in the schools showed to be operated with interpersonal Intelligence. Community-aligned reading was the most frequently operated in the primary schools while student reading club activities were the most common in the middle and high schools. In case of reading education program related to linguistic intelligence, the most commonly operated ways were reading books, writing with literatures, and writing book report, in primary, middle, and high schools, respectively. In case of reading education program related to spatial intelligence, media production type showed the most commonly operated in all types of schools. However, there was no reading program related to naturalist intelligence. Based on these analysis results, the plans to contribute the activation of reading education programs by school libraries under the 2015 amended curriculum were suggested in the aspects of development of connection programs with teachers, students and parents as the center of education community, installation and operation of maker spaces and enhancement of program management and inquiry-based learning competency of teacher librarians.

Analysis of Creative Personality and Intrinsic Motivation of Information Gifted Students Applying Curriculum Based on Computing Thinking (컴퓨팅사고력을 고려한 교육과정을 적용한 정보영재들의 창의적 성격과 내적동기 분석)

  • Chung, Jong-In
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.8
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    • pp.139-148
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    • 2019
  • Fostering science-gifted individuals are very important for the future of the nation, and it is especially important to cultivate information-gifted individuals in the age of the fourth industry. There is no standardized curriculum for each gifted education center of the University. Therefore, in this study, we analyzed how effective the curriculum developed on the basis of computing thinking is to affect the characteristics of the information-gifted individuals. The curriculum developed on the components of computing thinking was applied to the information-gifted students of K University. In order to verify the effectiveness of the curriculum, we developed a creative personality test and an intrinsic motivation test, and conducted tests before and after the training. We compared pre-post test results by t-test with R program. The creative personality test consisted of 36 items with 6 factors: risk-taking, self - acceptance, curiosity, humor, dominance, and autonomy. The intrinsic motivation test consisted of 20 items with 5 items: curiosity and interest oriented tendency, challenging learning task preference orientation, independent judgment dependency propensity, independent mastery propensity, and internal criterion propensity. The effect of the curriculum on the creative personality of the experimental group was significant (0.009, 0.05). The significance level of the intrinsic motivation was 0.056 and was not significant at the 0.05 level of significance.