• Title/Summary/Keyword: The period of Korean learning

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The Effect of Problem-Based Learning on Student's Creativity in Middle School Science Class (중학교 과학수업에서 문제중심학습이 창의력에 미치는 효과)

  • Oh, Hee-Jin;Kim, Sang-Dal;Lee, Yong-Seob
    • Journal of the Korean earth science society
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    • v.26 no.1
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    • pp.1-8
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    • 2005
  • The purpose of this study is to identify the effect of Problem-Based Learning on Student's Creativity Ability in Middle School Science Class. The experimental group had Problem-Based Learning classes for six weeks and control group had traditional inquiry instruction for the same period. The results of this study presents that Problem-Based Learning is significantly effective for the improvement of creative skills test and creative tendencies. And PBL group student's had positive thinking for PBL. It's not easy to generalize these results because of many different variables. but the results suggests that teachers should make an effort to improve student's creativity applying Problem-Based Learning. And it's necessary to develop many kinds of problems and teacher's instruction method to enrich creativity in the process of Problem-Based Learning.

The Study of Convergence on Lexical Complexity, Syntax Complexity, and Correlation among Language Variables (한국어 학습자의 어휘복잡성, 구문복잡성 및 언어능력 변인들 간의 상관에 관한 융합 연구)

  • Kyung, Lee-MI;Noh, Byungho;Kang, Anyoung
    • Journal of the Korea Convergence Society
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    • v.8 no.4
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    • pp.219-229
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    • 2017
  • The study was conducted to find out lexical complexity and syntactic complexity for Korean learners by telling stories to see pictures. The results were as follows. First, there was no meaningful difference according to nationality. Second, we checked the differences on lexical complexity and syntactic complexity according to Korean studying period, only number of difference words showed meaningful difference among lexical complexity sub variables, but there was no difference among syntactic complexity sub variables. Third, we also checked correlation among staying period of Korea, Korean studying period, and other language related variables. It showed meaningful correlation staying period in Korea and other language related variable except Korean studying period and TTR. The directions for teaching Korean learners were suggested on the point of converge view according to results.

A Study on the Effect of Gifted Students' Self-efficacy, Achievement Motivation and Academic Achievement for Mathematics Prerequisite Learning -Focused on the Science Education Institute for the Gifted, University- (수학 선행학습이 학생들의 자기효능감, 성취동기 및 학업성취도에 미치는 영향 - 대학 영재교육원 학생들을 중심으로 -)

  • Han, Jiseon;Park, Hyungbin;Lee, Heonsoo
    • Journal of the Korean School Mathematics Society
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    • v.16 no.1
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    • pp.87-112
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    • 2013
  • Gifted education, receiving private tutoring and prerequisite learning, is emerging as a remarkable phenomenon currently in Korea. Hence, we need to find out that whether prerequisite math learning influences academic achievement in any aspect after they enter the center. In this paper, we investigate the effect of mathematics prerequisite learning of gifted students focused on the their self-efficacy, achievement motivation and academic achievement. As a result, the period of mathematics prerequisite learning did not influence academic achievement of gifted students. However, the correlation between self-efficacy and achievement motivation was positive.

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Effects of weight bearing training on symmetrical weight supporting rate (체중부하 훈련이 대칭적 체중지지율에 미치는 효과)

  • Park, Joong-Suk;Lee, Suk-Min
    • Journal of Korean Physical Therapy Science
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    • v.9 no.1
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    • pp.53-59
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    • 2002
  • This study is research for effect of the involved lower limb weight bearing training on symmetrical weight supporting rate improvement by practicing involved lower limb weight bearing training of three weeks period to improve standing equilibrium problem with asymmetric weight supporting rate of hemiplegia. In result of the study, it has shown that P-value incase of involved supporting rate is lower than level of significance $\alpha$<.05 and mean improvement rate of experienced group is higher in comparison with controlled group and experienced group. In changing quantity of involved maximum supporting rate, P-value is .26 and higher than level of significance $\alpha$<.05, and so it did not show significant difference statistically. But in case of experienced group between pre and post-test, involved side supporting rate and involved side maximum supporting rate showed significant improvement in all. In comparison of relative characteristic training effect difference, it was shown that train-learning effect on case of 40-60 years old, hemorrhagic patient and standard body bun of patient is valuable, which showed significant improvement in case of paralytic side and disease period, it did not show significant difference on excercise learning effect in two above cases. In the above result, we can say that continuous weight bearing training on the involved lower limb for three weeks period help improve the involved side supporting rate of hemiplegia. Accordingly, the weight bearing training on the involved lower limb is training method that patient can easily train with simple guidance of therapists, without being special expensive equipment. Furthermore it can be helpful to establish home therapeutic plan for hemiplegia through education of a patron.

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A Study on Pagoda Image Search Using Artificial Intelligence (AI) Technology for Restoration of Cultural Properties

  • Lee, ByongKwon;Kim, Soo Kyun;Kim, Seokhun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.6
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    • pp.2086-2097
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    • 2021
  • The current cultural assets are being restored depending on the opinions of experts (craftsmen). We intend to introduce digitalized artificial intelligence techniques, excluding the personal opinions of experts on reconstruction of such cultural properties. The first step toward restoring digitized cultural properties is separation. The restoration of cultural properties should be reorganized based on recorded documents, period historical backgrounds and regional characteristics. The cultural properties in the form of photographs or images should be collected by separating the background. In addition, when restoring cultural properties most of them depend a lot on the tendency of the restoring person workers. As a result, it often occurs when there is a problem in the accuracy and reliability of restoration of cultural properties. In this study, we propose a search method for learning stored digital cultural assets using AI technology. Pagoda was selected for restoration of Cultural Properties. Pagoda data collection was collected through the Internet and various historical records. The pagoda data was classified by period and region, and grouped into similar buildings. The collected data was learned by applying the well-known CNN algorithm for artificial intelligence learning. The pagoda search used Yolo Marker to mark the tower shape. The tower was used a total of about 100-10,000 pagoda data. In conclusion, it was confirmed that the probability of searching for a tower differs according to the number of pagoda pictures and the number of learning iterations. Finally, it was confirmed that the number of 500 towers and the epochs in training of 8000 times were good. If the test result exceeds 8,000 times, it becomes overfitting. All so, I found a phenomenon that the recognition rate drops when the enemy repeatedly learns more than 8,000 times. As a result of this study, it is believed that it will be helpful in data gathering to increase the accuracy of tower restoration.

No Adverse Outcomes of Video-Assisted Thoracoscopic Surgery Resection of cT2 Non-Small Cell Lung Cancer during the Learning Curve Period

  • Bilgi, Zeynep;Batirel, Hasan Fevzi;Yildizeli, Bedrettin;Bostanci, Korkut;Lacin, Tunc;Yuksel, Mustafa
    • Journal of Chest Surgery
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    • v.50 no.4
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    • pp.275-280
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    • 2017
  • Background: Video-assisted thoracoscopic surgery (VATS) anatomic lung resections are gradually becoming the standard surgical approach in early-stage non-small cell lung cancer (NSCLC). The technique is being applied in cases of larger tumors depending on the experience of the surgical team. The objective of this study was to compare early surgical and survival outcomes in patients undergoing anatomic pulmonary resections using VATS and thoracotomy techniques for clinical T2 NSCLC during the adaptation period of the surgical team to the VATS approach. Methods: The data of all patients who underwent anatomic pulmonary resection for NSCLC using VATS and open techniques since April 2012 were recorded to create a prospective lung cancer database. Clinical T2 NSCLC patients who underwent VATS anatomic lung resection were identified and compared with cT2 patients who underwent open resection. Results: Between April 2012 and August 2014, 269 anatomical resections for NSCLC were performed (80 VATS and 189 thoracotomy). Thirty-four VATS patients who had clinical T2 disease were identified and stage-matched to thoracotomy patients. The average tumor diameter was comparable ($34.2{\pm}11.1{\times}29.8{\pm}10.1mm$ vs. $32.3{\pm}9.8{\times}32.5{\pm}12.2mm$, p=0.4). Major complications were higher in the thoracotomy group (n=0 vs. n=5, p=0.053). There was no 30-day mortality, and the 2-year survival rate was 91% for VATS and 82% for thoracotomy patients (p=0.4). Conclusion: VATS anatomic resections in clinical T2 NSCLC tumors are safe and have perioperative and pathologic outcomes similar to those of thoracotomy, while remaining within the learning curve.

The Effect of Cooperative Learning on the Scientific Preferences of Middle School Girls (협동학습이 여중생들의 과학 선호도에 미치는 효과)

  • Cho, Kyu-Seong;Lee, Koang-Ho;Yang, Su-Mi
    • 한국지구과학회:학술대회논문집
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    • 2005.02a
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    • pp.193-200
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    • 2005
  • I conducted a pretest on the students' preference before I incorporated Cooperative learning in five classes of second grade students, at a girl's middle school which is located in Gimje city. After ten weeks of Cooperative school work, the students took a post test with the same questions as the pretest. The result of this method greatly impacted on the change of students' scientific preference. It means that the students showed their positive awareness of and the participation in the science class in comparison with the classes before they were taught this new style of education. However it is difficult to distinguish the differences of their scientific attitude on the recognition about the scientists and the habit which they think scientifically. This resulted from a short period of ten weeks of learning which is not sufficient to carry out the study strategy effectively. Surveys of the students on Cooperative learning indicates that the middle level students prefer this method unlike the higher or lower level. I am convinced that they can learn from the students of higher level and are able to help the lower level with the interaction through Cooperative learning.

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Development of a Building Construction Blended Learning Curriculum Based on Team-Based Learning (팀기반학습을 중심으로 한 건축시공학 블렌디드러닝 교육과정 개발)

  • Kim, Jae-Yeob
    • Journal of the Korea Institute of Building Construction
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    • v.22 no.3
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    • pp.327-336
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    • 2022
  • Due to the COVID-19 pandemic, the ratio of online education in domestic universities has rapidly increased. This research has developed a curriculum that can be blended with online education-especaally for building construction. The realities of building construction education provided by domestic universities during the COVID-19 pandemic were analyzed. It was revealed that approximately 66.1% of the education was provided online, while approximately 33.9% of the education was provided in the form of face-to-face lectures. It was thus found that the ratio of online education had rapidly increased. We developed a blended learning curriculum of building construction subjects. The curriculum focused on weekly education procedures and the contents of education for each 15-week period. The curriculum proposed by this research could be applied flexibly according to the education goals of the instructor and the learning capabilities of the students.

An Analysis of English Listening Items on the TOEFL (TOEFL의 듣기문항 분석을 통한 한국대학생 듣기 학습효과)

  • Cha, Kyung-Whan;Yoo, Yoon-Hee
    • Speech Sciences
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    • v.7 no.2
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    • pp.157-175
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    • 2000
  • The aim of this paper was to diagnose Korean college students' listening skills on the TOEFL. The researchers identified which section, among the TOEFL listening Part A, B, and C, is most easily teachable/ improvable during the period of a semester. First, the result of this research shows that Korean students tend to have lower scores in Part A than Part B or Part C. The results indicate that the short informal conversation doesn't give sufficient clues to students, and they don't have enough time to infer the answer. Second, the results revealed that. students showed the lowest progress in Part B after they studied TOEFL listening items and essential idioms for the listening section for 13 weeks. Because students didn't have much experience learning the informal conversation as opposed to the formal one in English, it is harder to achieve an improved grade in Part B, which consists of the informal conversation. But after a semester-long listening course, the average score on TOEFL listening sections increased.

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Probability distribution predicted performance improvement in noisy label (라벨 노이즈 환경에서 확률분포 예측 성능 향상 방법)

  • Roh, Jun-ho;Woo, Seung-beom;Hwang, Won-jun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.607-610
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    • 2021
  • When learning a model in supervised learning, input data and the label of the data are required. However, labeling is high cost task and if automated, there is no guarantee that the label will always be correct. In the case of supervised learning in such a noisy labels environment, the accuracy of the model increases at the initial stage of learning, but decrease significantly after a certain period of time. There are various methods to solve the noisy label problem. But in most cases, the probability predicted by the model is used as the pseudo label. So, we proposed a method to predict the true label more quickly by refining the probabilities predicted by the model. Result of experiments on the same environment and dataset, it was confirmed that the performance improved and converged faster. Through this, it can be applied to methods that use the probability distribution predicted by the model among existing studies. And it is possible to reduce the time required for learning because it can converge faster in the same environment.

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