• Title/Summary/Keyword: prediction skills

Search Result 74, Processing Time 0.035 seconds

A study of an effective teaching of listening comprehension (영어 청해력 향상을 위한 효율적인 학습 지도 방안)

  • Park, Chan-Shik
    • English Language & Literature Teaching
    • /
    • no.1
    • /
    • pp.69-108
    • /
    • 1995
  • Listening comprehension can be defined as a process of an integrative, positive and creative activity through which listeners get the message of speakers' production using linguistic or non-linguistic redundancy as well as linguistic or non-linguistic knowledge. Compared with reading comprehension, it has many difficulties especially for foreigners. while it can be transferred to the other skills: speaking, reading, writing. With this said, listening comprehension can be taught effectively using the following teaching strategies. First. systematic and intensive instruction of segmental phonemes, suprasegmental phonemes and sound changes must be given to remove the difficulties of listening comprehension concerned with the identification of sounds. Second, vocabulary drill through various games and other activities is absolutely needed until words can be unconsciously recognized. Without this, comprehension is almost impossible. Third, instruction of sentence structures is thought to be essential considering grammar is supplementary to listening comprehension and reading comprehension for academic purpose. So grammar translation drills, mechanical drills, meaningful drills and communicative drills should be performed in succession with common or frequently used structures. Fourth, listening activities for overall comprehension should teach how to receive overall meaning of intended messages intact. Linguists and literatures have listed some specific activities as follows: Total Physical Response, dictation, role playing, singing songs, selective listening, picture recognition, list activities, completion, prediction, true or false choice, multiple choice, seeking of specific information, summarizing, problem-solving and decision-making, recognization of relationships between speakers, recognition of mood, attitude and behavior of speakers.

  • PDF

Prediction Model on Mental Health Status in Middle-aged Women of an Urban Area (일 도시 지역 중년 여성의 정신건강상태 예측모형)

  • Lee Pyong Sook;Sohn Jung Nam;Lee Yong Mi;Kang Hyun Cheol
    • Journal of Korean Academy of Nursing
    • /
    • v.35 no.2
    • /
    • pp.239-251
    • /
    • 2005
  • Purpose: This study was designed to construct a structural model for explaining mental health status in middle - aged women. Methods: The data was collected by self - reported questionnaires from 206 middle - aged women in Seoul. Data analysis was done with the SAS pc program for descriptive statistics and a PC - LISREL Program for finding the best fit model which assumes causal relationships among variables. Results: The overall fit of the hypothetical model to the data was good, but paths and variables of the model were modified by considering theoretical implications and statistical significances of parameter estimates. Thus it was modified by excluding 3 paths, The modified model showed was good fit to the data($x^2=177.55$, p=.00), GFI=0.908, AGFI=0.860, RMR=0.013, NFI=0.972, NNFI=0.982). Perceived stress, anger expression method, and self -esteem were found to have direct effects on mental health status in middle - aged women. These predictive variables of mental health status explained $66.6\%$ of the model. Conclusion: Programs to enhance mental health status in middle - aged women should include stress management skill, anger expression skill, and self -esteem enhancement skills to be effective.

Prediction of a winner in PGA tournament using neural network (신경망을 이용한 우승자 예측모형)

  • Min, Dae-Kee;Hyun, Moo-Sung
    • Journal of the Korean Data and Information Science Society
    • /
    • v.20 no.6
    • /
    • pp.1119-1127
    • /
    • 2009
  • In PGA golf, total prize money and average score are good response variable related to golf skills such as driving distance, green in regulation and putts per green in regulation. But it's not easy to predict the winner of coming tournament. Thus I applied Neural Networks which has pretty good advantages for non-linear complex modeling to binary data. In neural network architectures, I applied NRBF and MLP architecture model for binary data which represent who had a win or not.

  • PDF

A Study on the Safety and Improvement of Small Theatres in Korea (소규모 공연장 안전실태 및 개선방안에 대한 연구)

  • Park, Yong Gyu;Kim, Dong Kyun;Park, Jin Kyu;Kim, Kyung Hoon
    • Journal of the Korean Society of Safety
    • /
    • v.29 no.6
    • /
    • pp.22-27
    • /
    • 2014
  • The market of performance arts industry such as concert, musical and opera etc is now expanding in Korea. However, the inadequate safety management in theatres often causes some accidents. The guarantee of safety in theatres is very important since the accidents in theaters can lead to many casualties and serious property damages. In particular, the small theatres which have no obligation of safety inspection by law are very vulnerable to safety mattes. This study has done the research into the improvement of safety in small theaters through the inspection and analysis of their safety status. For the purpose, this study has inspected and analyzed the safety status of small theaters over 120 in the field of theater management and operation, fire protection, electrical facilities, ceiling structure and etc. Moreover, this study had investigated the law and technical standards related to theatre safety. This study shows that the essentials to make sure of the safety in small theaters are (1) the education to improve the sense of security of people who work in theaters (2) the training to strengthen the operating skills of the facilities in theaters (3) the cooperation and support of the related organization such as technical research center, central and local government.

A basic Study on the Space in the Mixed Wooden Construction -Focused on Japanese Architects' Consciousness and the Analysis of the Space- (목조혼합구조의 공간에 관한 기초적연구 -일본 건축가의 의식 및 건축물의 공간적 분석을 중심으로-)

  • 이승훈
    • Korean Institute of Interior Design Journal
    • /
    • no.15
    • /
    • pp.79-85
    • /
    • 1998
  • Woods have been the familiar constructional materials because they were well suited to natural environments of Korea in terms of history regionalism and nationality. Since the modernization of Korea the wooden structure have mostly disappeared because of constructional costs regulations and convenience. But wooden constructions will reappear because of a prediction of wood demand and supply various choices for life circumstances and various investigations. There are many such cases. Among them Japan became an interesting object of investigation. New wooden constructional structures with new materials and modern skills may be observed in Japan. The purpose of this study is to trace architects' consciousness and to analyze constructions with the combination of wooden and other materials in Japan. Thus we explore a possibility to construct a new wooden structure which is suitable in modern Korea. The results were as follows: First the consciousness of Japanese architects' mixed wooden construction corresponds to the close relations between society and environment. Second the space of a structure with mixed wooden constructions in present Japan is chosen as the best way to consider functions and environments according to the form of need space scale and quality. Third the structure wooden constructional structure is a part of roof open space. in this case woods are represented and composed of japanese traditional wooden structure with new technique. Forth a mixed wooden construction has been used through a merit of each material by mixed of different materials as well as beauty of form.

  • PDF

Factors Affecting In-Patient Satisfaction of Oriental Hospital (한방병원입원환자의 환자만족도에 영향을 미치는 요인)

  • 박용억
    • Korean Journal of Health Education and Promotion
    • /
    • v.14 no.1
    • /
    • pp.97-113
    • /
    • 1997
  • It is very important to estimate the patients satisfaction level with medical services, to classify the objectvies according to the patients characteristics and sub-satisfaction factors. The purpose of this study is to determine the factors affecting satisfaction in oriental hospital. The 549 patients' hospitalized in five oriental hospital in Taegu city and one oriental hospital in Kyungbuk province were selected for this study. The results summarized are as follows. l. The general characteristics of 549 objectvies were included gender, age, education, occupation, income level, length of stay, health status of hospitalized, and expectation for medical care. 2. Patients characteristics affecting patients total satisfaction, as for age(b=0.05), health status of patients(b=-0.052), and expectation for medical care(b=0.117) were significant, while gender, education, job, income level, and length of stay were not. As the factors according to patients satisfaction, accessibility(b=0.09l), doctor's kindness(b=0.357), staff kindness(b=0.137), nurse's skills(b=0.111), hospital facilities(b=0.211), and medical fee(b=-0.160) were significant. In total patients' satisfaction, Doctor's kindness was the most significant of prediction variables. In general the factors affecting In-patient satisfaction of oriental hospital was highly associated with doctor's kindness.

  • PDF

Investigating Factors Contributing to Inadequate Facility Safety Inspections and Diagnosis Services: A Machine Learning Approach (머신러닝 기반 시설물 안전 점검·진단용역 부실 판정 요인에 대한 연구)

  • Junyong Park;Chie Hoon Song
    • Journal of the Korean Society of Industry Convergence
    • /
    • v.27 no.4_2
    • /
    • pp.897-908
    • /
    • 2024
  • Evaluating the adequacy of facility safety inspection and diagnosis services performed by private enterprises is a time-consuming and administratively complex process. This study aims to analyze the determinants that could influence the rating of these safety inspection and diagnosis services using data analytics approach. Through a comparative analysis of several machine learning algorithms suitable for multi-class classification, we selected the model with the best performance (Random Forest) and identified the main determinants using the permutation importance technique. Among the variables examined, "contract value," "days of service performed" and "adherence to fair market value" were found to be strongly correlated with the rating assessments. Furthermore, we discovered that the skills and expertise of service performing personnel significantly impacted the rating. The results of this study can contribute to the enhancement of the current post-evaluation administrative processes and offer valuable insights into rating assessments by incorporating previously unexplored variables pertaining to both service providers and the services itself.

Evaluation of Long-Term Seasonal Predictability of Heatwave over South Korea Using PNU CGCM-WRF Chain (PNU CGCM-WRF Chain을 이용한 남한 지역 폭염 장기 계절 예측성 평가)

  • Kim, Young-Hyun;Kim, Eung-Sup;Choi, Myeong-Ju;Shim, Kyo-Moon;Ahn, Joong-Bae
    • Atmosphere
    • /
    • v.29 no.5
    • /
    • pp.671-687
    • /
    • 2019
  • This study evaluates the long-term seasonal predictability of summer (June, July and August) heatwaves over South Korea using 30-year (1989~2018) Hindcast data of the Pusan National University Coupled General Circulation Model (PNU CGCM)-Weather Research and Forecasting (WRF) chain. Heatwave indices such as Number of Heatwave days (HWD), Heatwave Intensity (HWI) and Heatwave Warning (HWW) are used to explore the long-term seasonal predictability of heatwaves. The prediction skills for HWD, HWI, and HWW are evaluated in terms of the Temporal Correlation Coefficient (TCC), Root Mean Square Error (RMSE) and Skill Scores such as Heidke Skill Score (HSS) and Hit Rate (HR). The spatial distributions of daily maximum temperature simulated by WRF are similar overall to those simulated by NCEP-R2 and PNU CGCM. The WRF tends to underestimate the daily maximum temperature than observation because the lateral boundary condition of WRF is PNU CGCM. According to TCC, RMSE and Skill Score, the predictability of daily maximum temperature is higher in the predictions that start from the February and April initial condition. However, the PNU CGCM-WRF chain tends to overestimate HWD, HWI and HWW compared to observations. The TCCs for heatwave indices range from 0.02 to 0.31. The RMSE, HR and HSS values are in the range of 7.73 to 8.73, 0.01 to 0.09 and 0.34 to 0.39, respectively. In general, the prediction skill of the PNU CGCM-WRF chain for heatwave indices is highest in the predictions that start from the February and April initial condition and is lower in the predictions that start from January and March. According to TCC, RMSE and Skill Score, the predictability is more influenced by lead time than by the effects of topography and/or terrain feature because both HSS and HR varies in different leads over the whole region of South Korea.

An Analysis of Teacher Librarians' Educational Role Embedded in Inquiry Tasks of Elementary Social Studies Textbooks: based on the 4th·5th·6th Grade in the Second Term (초등학교 「사회」 교과서 탐구 과제에 포함된 사서교사의 교육적 역할 분석 - 초등학교 4·5·6학년 2학기 사회교과를 중심으로 -)

  • Yu, Jong-Youl;Song, Gi-Ho
    • Journal of the Korean Society for Library and Information Science
    • /
    • v.51 no.1
    • /
    • pp.29-47
    • /
    • 2017
  • The purpose of this study is to compare and analyze the inquiry tasks included in the elementary social studies with school library based instruction (SLBI) focused on the information literacy process and select teacher librarians' educational role under learning for social studies. For this purpose, national elementary curriculum of $4^{th}$, $5^{th}$ and $6^{th}$ social studies in the second term are analyzed. As results of analysis, the $4^{th}$ and $5^{th}$ students who take part in solving the inquiry tasks could compare and analyze illustrations, photographs and texts in their text books individually and present the results with speaking. The $6^{th}$ students could deal with their tasks using their experience, idea or information found from other resources and express the outcome orally according to the content of inquiry tasks. Therefore, teacher librarians could teach information literacy skills such as comparison, contrast, combination, distinction between opinions and facts, or prediction and inference of conclusion to the $4^{th}$ and $5^{th}$ elementary student. Teacher librarians can also participate in whole information literacy instruction for the $6^{th}$ students from building the solution strategies of tasks, collecting and using materials to completing and evaluating the results under the long term collaboration with the classroom teachers.

Time Series Analysis of the Subsurface Oceanic Data and Prediction of the Sea Surface Temperature in the Tropical Pacific (적도 태평양 아표층 자료의 시계열 분석 및 표층 수온 예측)

  • Chang You-Soon;Lee Da-Un;Youn Yong-Hoon;Seo Jang-Won
    • Journal of the Korean earth science society
    • /
    • v.26 no.7
    • /
    • pp.706-713
    • /
    • 2005
  • Subsurface oceanic data (Z20; Depth of $20^{\circ}C$ isotherm and WWV; Warm Water Volume) from the tropical Pacific Ocean from 1980 to 2004 were utilized to examine upper ocean variations in relation to E1 Nino. Time series analysis using EOF, composite, and cross-correlation methods indicated that there are significant time delays between subsurface oceanic parameters and the Nino3.4 SST. It implied that Z20 and WWV would be more reliable predictors of El Nino events. Based on analyzed results, we also constructed neural network model to predict the Nino3.4 SST from 1996 to 2004. The forecasting skills for the model using WWV were statistically higher than that using the trade wind except for short range forecasting less than 3 months. This model greatly predicted SST than any other previous statistical model, especially at lead times of 5 to 8 months.