• Title/Summary/Keyword: statistical problem-solving

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A Study on the Leadership Style and Development of Agricultural Organization in Korea (농민조직의 리더십 유형과 개발에 관한 연구)

  • Kim, Sung-Soo;Choi, Min-Ho;Cheong, Ji-Woong
    • Journal of Agricultural Extension & Community Development
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    • v.4 no.1
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    • pp.73-89
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    • 1997
  • The purpose of this study was to investigate the leadership style and development of agricultural organization in Korea. Specific objectives of the study were to : 1) identify the leadership style of agricultural organization though literature review, 2) survey the members' opinions about their leadership style, 3) examine the leader's self-estimation of their leadership style, 4) identify the desirable leadership style items of the leaders and members, 5) suggest effective way to the development of leadership style. The study was carried out through literature review and questionnaire survey. Total of 715 farmers were surveyed to collect data, and 501 responded. The statistical techniques applied on the data are frequency, percentile, analysis of variance, multiple regression utilizing the SPSS/WIN, and the statistical significance was tested at .05 level. The major findings of the study were: 1) the leaders motivation and problem solving abilities of agricultural organizations were not enough to satisfy the members, 2) members believed the leaders make somewhat arbitrary decisions, 3) the leaders of the organizations had difficulties to coordinate the different opinions of the members, and 4) the leaders of the organizations felt the need of skills and information on leadership style and development of agricultural organization. For improvement of leadership for agricultural organization, this study suggests; 1) the more education programs should be made and practiced to make their leadership special, 2) all members should make much efforts to have channels for rational communication, 3) the leaders have to give members well-polished incentives for active participation, 4) more governmental support should be given to empower those organizations, and 5) the agricultural organizations, universities and government must establish a strong coordinating system to realize above suggestions.

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The Effect of Software Education on Middle School Students' Computational Thinking (소프트웨어 교육이 중학생의 컴퓨팅 사고력에 미치는 효과)

  • Lee, Jeongmin;Ko, Eunji
    • The Journal of the Korea Contents Association
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    • v.18 no.12
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    • pp.238-250
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    • 2018
  • The 2015 revised curriculum includes 'informatics' course including the process of building software aiming at cultivating creative and convergent ability. This study analyzes the competencies pursued in the revised curriculum and defines computational thinking as the main competency. The subjects of the study were the first grade of a middle school in the first semester of the 2018 school year. Of the 95 collected data, 83 data were used for analysis and the significance was confirmed by the paired t-test. Also, computational concept, computational practice and computational perspectives were confirmed through artifact-based interviews. As a result of statistical analysis, critical thinking, creativity, algorithmic thinking, and problem-solving significantly increased among sub-variables of computational thinking. Statistical results and interview results were analyzed to provide implications for design and implementation of software education in 'informatics' course.

A comparative study on the external & internal structure of mathematics curriculum between Korea and Japan : Focusing on the aspects of recent revisions (한·일 수학과 교육과정의 외·내적 체재 비교 분석 : 직전 교육과정과의 변화를 중심으로)

  • Kwon, Oh Nam;Lee, Kyungwon;Lee, Ahran;Han, Chaereen
    • The Mathematical Education
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    • v.58 no.2
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    • pp.187-223
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    • 2019
  • This study aims to investigate the aspects of revision in the external and internal structure of curriculum and documentation in Korea and Japan and to propose the direction and task to enhance the current framework of the national curriculum. Japan has been selected for comparison in that it explicitly prepared social changes such as the dramatic evolution of artificial intelligence and population aging in its new curriculum. Therefore, various aspects of revision were analyzed the 2009 & 2015 revised mathematics curriculum of Korea and the 2008 & 2017 mathematics curriculum of Japan respectively in the elementary, middle, and high school grade bands. Then, the differences between the two countries were identified through comparison. First, the structure of the mathematics curriculum in Japan was connected with the general guidelines more tightly than Korea, and the external structure of the mathematics curriculum stayed consistently after the revision. Second, contrary to Korea, which pursued the appropriateness and reduction of mathematical content, Japanese mathematics curriculum has been pursuing detailed contents both quantitatively and qualitatively. Lastly, Japan emphasized statistical problem-solving ability. Based on this, we suggested considering of consistency in the structure curriculum documentation, detailing contents of the curriculum, and strengthening of statistical education.

A Statistical Assessment of Increasing Tidal Mixing Effects on Water Quality in the Shiwha Coastal Reservoir (시화호 해수유통량 증대에 따른 통계학적 수질 영향 분석)

  • Lee, Bum-Yeon;Lee, Chang-Hee
    • Journal of Korean Society on Water Environment
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    • v.37 no.6
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    • pp.425-432
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    • 2021
  • A tidal power plant (TPP) has been in operation since the end of 2011 to improve the water quality of Shihwa Coastal Reservoir (SCR). Tidal mixing rate increased 5.6 times after the TPP operation so that in this study, its effects on water quality was assessed through statistical analysis of long-term water quality monitoring data. It was found that the increased tidal mixing contributed to solving the hypoxia problem in the bottom water by preventing the summer stratification. The analysis also showed that the increased tidal mixing had different effects depending on the relative concentration difference for each water quality substances between the SCR and the outside of SCR. The average concentrations of some substances (chemical oxygen demand, total phosphorus, chlorophyll-a) with higher concentrations than the outside of SCR decreased due to the dilution effect, but the other substances (total nitrogen, dissolved inorganic nitrogen, dissolved inorganic phosphorus) with lower concentrations compared to the outside ones increased on the contrary. Factor analysis also showed a consistent result that the first factor accounting for the water quality was changed from the organic-related substances to the nutrient-related substances after the increased tidal mixing. These results imply that the focus of future water quality management needs shifting from the organic substances to the nutrients, particularly dissolved inorganic nutrients. Considering the effect of inflow seawater on the nutrients, the management area should be extended to cover not only SCR but also a certain area outside of SCR.

Machine-Learning Based Biomedical Term Recognition (기계학습에 기반한 생의학분야 전문용어의 자동인식)

  • Oh Jong-Hoon;Choi Key-Sun
    • Journal of KIISE:Software and Applications
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    • v.33 no.8
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    • pp.718-729
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    • 2006
  • There has been increasing interest in automatic term recognition (ATR), which recognizes technical terms for given domain specific texts. ATR is composed of 'term extraction', which extracts candidates of technical terms and 'term selection' which decides whether terms in a term list derived from 'term extraction' are technical terms or not. 'term selection' is a process to rank a term list depending on features of technical term and to find the boundary between technical term and general term. The previous works just use statistical features of terms for 'term selection'. However, there are limitations on effectively selecting technical terms among a term list using the statistical feature. The objective of this paper is to find effective features for 'term selection' by considering various aspects of technical terms. In order to solve the ranking problem, we derive various features of technical terms and combine the features using machine-learning algorithms. For solving the boundary finding problem, we define it as a binary classification problem which classifies a term in a term list into technical term and general term. Experiments show that our method records 78-86% precision and 87%-90% recall in boundary finding, and 89%-92% 11-point precision in ranking. Moreover, our method shows higher performance than the previous work's about 26% in maximum.

Changes in Statistical Knowledge and Experience of Data-driven Decision-making of Pre-service Teachers who Participated in Data Analysis Projects (데이터 분석 프로젝트 참여한 예비 교사의 통계적 지식에 대한 변화와 데이터 기반 의사 결정의 경험)

  • Suh, Heejoo;Han, Sunyoung
    • Communications of Mathematical Education
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    • v.35 no.2
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    • pp.153-172
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    • 2021
  • Various competencies such as critical thinking, systems thinking, problem solving competence, communication skill, and data literacy are likely to be required in the 4th industrial revolution. The competency regarding data literacy is one of those competencies. To nurture citizens who will live in the future, it is timely to consider research on teacher education for supporting teachers' development of statistical thinking as well as statistical knowledge. Therefore, in this study we developed and implemented a data analysis project for pre-service teachers to understand their changes in statistical knowledge in addition to their experiences of data-driven decision making process that required them utilizing their statistical thinking. We used a mixed method (i.e., sequential explanatory design) research to analyze the quantitative and qualitative data collected. The findings indicated that pre-service teachers have low knowledge level of their understanding on the relationship between population means and sample means, and estimation of the population mean and its interpretation. When it comes to the data-driven decision making process, we found that the pre-service teachers' experiences varied even when they worked as a small group for the project. We end this paper by presenting implications of the study for the fields of teacher education and statistics education.

Study on Teachers' Understanding on Generating Random Number in Monte Carlo Simulation (몬테카를로 시뮬레이션의 난수 생성에 관한 교사들의 이해에 관한 연구)

  • Heo, Nam Gu;Kang, Hyangim
    • School Mathematics
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    • v.17 no.2
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    • pp.241-255
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    • 2015
  • The purpose of this study is to analyze teachers' understanding on generating random number in Monte Carlo simulation and to provide educational implications in school practice. The results showed that the 70% of the teachers selected wrong ideas from three types for random-number as strategies for problem solving a probability problem and also they make some errors to justify their opinion. The first kind of the errors was that the probability of a point or boundary was equal to the value of the probability density function in the continuous probability distribution. The second kind of the errors was that the teachers failed to recognize that the sample space has been changed by conditional probability. The third kind of the errors was that when two random variables X, Y are independence of each other, then only, joint probability distribution is satisfied $P(X=x,\;Y=y)=p(X=x){\times}P(Y=y{\mid}X=x)$.

Solutions for Design Creativity Barriers (디자인 창의성 저해요소의 해결방안)

  • Kim, Dong-Ha
    • The Journal of the Korea Contents Association
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    • v.20 no.11
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    • pp.15-27
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    • 2020
  • In the design process that focuses on problem solving, in general, two or three barriers to design creativity appear at the same time and are linked to increase difficulty. Because the design problem always arises in unusual, unique, weird, and difficult to define, it is not possible to extract the correct answer through the formula and the answer is always plural. This study aims to present solutions and prove their effectiveness as a follow-up study that seeks to overcome the representative obstacles to design creativity discussed in the previous study. To this end, a qualitative study was conducted to find solutions to the obstacles suggested in the previous study and to devise key solutions(creativity development cards). At the same time, a quantitative research methodology using experiments and statistical analysis was adopted. After grasping the core characteristics of an object using the creativity development card, it was able to approach the creative solution by utilizing the reductive analysis of the original such as transformation of the core characteristics, reconsideration of essential problems and intentional differentiation. As a result, it was confirmed that the proposed solutions were effective not only as a method of overcoming the barriers to design creativity, but also in improving creativity.

A Case Study on the Level of Communication of Dental Hygiene Students after Completing a PBL-Based Dental Communication Curriculum (PBL기반의 치과의료커뮤니케이션 교육과정을 통한 일부 치위생학과 학생들의 치위생 의사소통 역량수준 평가에 대한 사례연구)

  • Choi, Yong-Keum
    • Journal of Korean Dental Hygiene Science
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    • v.4 no.1
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    • pp.65-77
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    • 2021
  • Background: The purpose of the present study was to evaluate changes in the communication capabilities of dental hygiene students after completing a problem based learning (PBL) dental communication curriculum. With this information, we intend to gather the basic data necessary to stress the need for and value of an education in communication regarding dental hygiene. Methods: PBL-based education was provided to a total of 49 third-year dental hygiene students who took the dental communication class taught by the Department of Dental Hygiene at S University during the 2nd semester of 2020. The relevant self-evaluation was modified, based on the aim of the present study, to refer to three basic key competencies related to the communication capabilities of dental hygienists. An assessment of dental communication competency was conducted by analyzing the changes in self-evaluations before and after completing the course, for each question, using a paired t-test. The statistical significance level was set at p < 0.05. Results: Analysis of core competencies before and after PBL-based dental communication education indicated that all competencies were significantly improved after education (p < 0.01). Conclusion: Dental hygiene students' dental communication skills increased significantly after completing PBL-based dental communication education. Therefore, a PBL-based dental communication curriculum is effective in improving dental communication skills for dental hygiene students.

Analysis of Belief Types in Mathematics Teachers and their Students by Latent Class Analysis (잠재집단분석(LCA)에 의한 수학교사와 학생들의 신념유형 분석)

  • Kang, Sung Kwon;Hong, Jin-Kon
    • Communications of Mathematical Education
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    • v.34 no.1
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    • pp.17-39
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    • 2020
  • The purpose of this study is to analyze the mathematical beliefs of students and teachers by Latent Class Analysis(LCA). This study surveyed 60 teachers about beliefs of 'nature of mathematics', 'mathematic teaching', 'mathematical ability' and also asked 1850 students about beliefs of 'school mathematics', 'mathematic problem solving', 'mathematic learning' and 'mathematical self-concept'. Also, this study classified each student and teacher into a class that are in a similar response, analyzed the belief systems and built a profile of the classes. As a result, teachers were classified into three types of belief classes about 'nature of mathematics' and two types of belief classes about 'teaching mathematics' and 'mathematical ability' respectively. Also, students were classfied into three types of belief classes about 'self concept' and two types of classes about 'School Mathematics', 'Mathematics Problem Solving' and 'Mathematics Learning' respectively. This study classified the mathematics belief systems in which students were categorized into 9 categories and teachers into 7 categories by LCA. The belief categories analyzed through these inductive observations were found to have statistical validity. The latent class analysis(LCA) used in this study is a new way of inductively categorizing the mathematical beliefs of teachers and students. The belief analysis method(LCA) used in this study may be the basis for statistically analyzing the relationship between teachers' and students' beliefs.