• Title/Summary/Keyword: data science curriculum

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A Study on the Curricular Satisfactions and Curriculum Improvements of the Students majoring in Clinical Pathology

  • Kim, Jung-Hyun;Park, Jung-Yeon;Yang, Byoung-Seon
    • Korean Journal of Clinical Laboratory Science
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    • v.44 no.4
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    • pp.239-244
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    • 2012
  • This study aims to analysis the curriculum problems and its improvements and to investigate curricula satisfaction among the students majoring in Clinical Pathology. A college used as a population, and 80 effective survey data were collected by sampling the graduates who carried out the clinical field training in third grade year. For statistical analysis of the collected data, the Stata(version 12.0) statistical package was used for frequency analysis, pearson correlations test and multiple regression analysis. The results of the analysis were as follows; First, the result showed that the synthetical theory curriculum has an positive effect on curricula satisfaction. Second, it was found that extension of both the clinical field training and laboratory and practice education have an significant influence direction of positiveness on curricula satisfaction. Third, as the problems of curriculum, the students selected shortage of english subjects connected with the job. We must intensify additional subjects (english ability) for job as the improvement of curriculum. Accordingly, academic, industrial circles and students are supposed to jointly seek for the plan for the enhancement of clinical field training satisfaction.

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A Survey on Science Field Study for Elementary School Science in 7th Korean School Curriculum (제7차 교육과정기의 초등 과학교과 현장학습 실태조사)

  • Kim, Eun-Jin;Lim, Chae-Seong
    • Journal of Korean Elementary Science Education
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    • v.22 no.2
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    • pp.173-180
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    • 2003
  • The purpose of this study was to investigate about current status of science field study in elementary schools. A total of 72 elementary teachers in Busan and Gyungnam districts were involved and the data from questionnaire was gathered. The questionnaire was comprised two parts: items on general level include the epistemological aspect and actual condition and items on concrete level according to chapters of elementary school science curriculum. The major findings are as follows: 1. Many teachers cognize the requirement of science field study in 7th Korean elementary school science curriculum is larger than 6th one. But they respond the actual number of science field study in 7th curriculum is nearly equal to 6th. 2. In analysis to grades, the actual number of field study decrease as grade is high. 3. In the science content aspects, the requirement of field study is the largest on biology domain and earth science domain. 4. Many teachers have pointed out “the difficulty of administration for field study” and “inappropriated surrounding of their school” as the problems of science field study in elementary school.

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Curriculum of Basic Data Science Practices for Non-majors (비전공자 대상 기초 데이터과학 실습 커리큘럼)

  • Hur, Kyeong
    • Journal of Practical Engineering Education
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    • v.12 no.2
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    • pp.265-273
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    • 2020
  • In this paper, to design a basic data science practice curriculum as a liberal arts subject for non-majors, we proposed an educational method using an Excel(spreadsheet) data analysis tool. Tools for data collection, data processing, and data analysis include Excel, R, Python, and Structured Query Language (SQL). When it comes to practicing data science, R, Python and SQL need to understand programming languages and data structures together. On the other hand, the Excel tool is a data analysis tool familiar to the general public, and it does not have the burden of learning a programming language. And if you practice basic data science practice with Excel, you have the advantage of being able to concentrate on acquiring data science content. In this paper, a basic data science practice curriculum for one semester and weekly Excel practice contents were proposed. And, to demonstrate the substance of the educational content, examples of Linear Regression Analysis were presented using Excel data analysis tools.

The Comparative Study of Questioning Type on the Grade 3 and 4 Science Textbook in Elementary School between the 2009 Curriculum and the Revised 2015 Curriculum (2009와 2015 개정 교육과정의 초등학교 3, 4학년 과학 교과서 발문유형 비교 연구)

  • Kim, Ju-A;Kim, Yong-Gwon
    • Journal of the Korean Society of Earth Science Education
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    • v.11 no.2
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    • pp.116-124
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    • 2018
  • The purpose of this study is to provide basic data that can be appropriately used for teaching and learning activities by comparing questions presented in the 2009 curriculum elementary science textbooks and questions presented in the elementary science textbooks of the 2015 revised curriculum, I would like to suggest some implications that may help. Therefore, questioning types of elementary science textbooks in 2009 curriculum and 2015 revised curriculum were compared and analyzed. First, in the present curriculum, it is necessary to increase the percentage of applied question as it aims to cultivate creative and convergent talent. Second, the increase in the percentage of open-ended questions that provide an opportunity for learners to think freely is a desirable change. Finally, it is necessary to increase importance of the question that can be applied to content learned and can be thought of as diffusive and evaluative.

An Analysis of the Relationship between Biology-related Contents Presented in Science and Other Subject Matter Areas in the Elementary School Curriculum (초등 교육과정에서 과학과의 생물 영역과 타 교과의 내용 연계성에 대한 분석)

  • Park, Jae-Keun;Kang, Ho-Kam;Kim, Yong-Jin
    • Journal of Korean Elementary Science Education
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    • v.26 no.1
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    • pp.63-75
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    • 2007
  • This study investigated how the contents of biology domains that were dealt with in the 7th national elementary-school science curriculum were in turn dealt with in the other subject matter areas. Through this, it was hoped that the place and identity of biology as a subject could be more clearly established and defined and additionally, more basic data for developing the new national science curriculum could be acquired at the same time. Subject matter areas that overlapped with biology in the 7th national elementary-school curriculum were practical arts, social studies and physical education. The structure and composition of specific components that were dealt with by these subject matter areas were very different from those of science, and the analysis showed that they failed to correspond across grades. Moreover, topics such as 'natural calamities and the environment' and 'human reproduction' that were dealt with by other subject matter areas, but not in science must be included for developing the new national science curriculum. Accordingly, when it comes to composing the contents of each subject matter area during creation of the new national curriculum, the relevant experts in related subject matter areas should be mobilized to conduct in-depth analysis of the following areas: viability, the most appropriate level of difficulty, and appropriateness of any hierarchy of relative importance between subjects. Additionally, efforts to reflect any improvements in the way the new national curriculum is developed which come about through this research are needed.

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A Case Study of the Curriculum of Data Science for Elementary School Teachers (초등교사 대상의 기초 데이터 과학 교육의 사례 연구)

  • Jo, Junghee
    • Journal of The Korean Association of Information Education
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    • v.25 no.6
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    • pp.899-906
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    • 2021
  • Data science is a discipline comprised of the academic fields of statistics, computer science, information technology, and domain knowledge. It analyzes data and derives meaningful results using complex technologies. Data science, along with artificial intelligence, is a core technology of the 4th industrial revolution; consequently, universities and companies worldwide are actively developing programs to develop data scientists who require high levels of expertise. In line with this undertaking, the field of elementary education has recognized the importance of data science education and so various studies have been conducted to develop curricula designed to help students understand how to use data. This paper proposes a curriculum for the purpose of educating elementary school teachers who are mostly non-majors in the computer field about data science. Satisfaction analysis was conducted based on questionnaires collected from students to analyze the effectiveness of the data science education proposed in this paper.

Comparison of Instructional Objectives of the 2007 Revised Elementary Science Curriculum with 7th Elementary Curriculum based on Bloom's Revised Taxonomy (Bloom의 신교육 목표 분류학에 기초한 초등학교 3, 4학년 과학과 7차 교육과정과 2007 개정 과학과 교육과정의 목표체계 비교)

  • Wee, Soo-Meen;Kim, Bo-Kyoung;Cho, Hyun-Jun;Sohn, Jung-Joo;Oh, Chang-Ho
    • Journal of Korean Elementary Science Education
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    • v.30 no.1
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    • pp.10-21
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    • 2011
  • The purposes of this study were to classify the objectives in elementary science for the 2007 revised national curriculum in accordance with Bloom's Revised Taxonomy of Educational Objectives, and to compare the classified data of 2007 revised curriculum with 7th national curriculum from a view of creative objectives. For the purpose, the frame and manuel was developed to classify the objectives. In this study, elementary science instructional objectives of third- to forth-grade level were classified through the frame. The finding of this study revealed that the objectives, stated in elementary science for the 2007 revised national curriculum, are biased to the 'conceptional knowledge', 'factual knowledge' and the 'understand' cognitive process dimension. And the remaining dimension of the Bloom's revised taxonomy is very scanty. Comparing with 7th national curriculum, the 2007 revised national curriculum's objectives system has not conspicuous improvement in creativity area. It was suggested to improve present objectives system, because of give learners more experience to opportunity about creativity.

An Examination of the Course Syllabi related to Data Science at the ALA-accredited Library and Information Science Programs (데이터사이언스 관련 교과목의 강의 계획서 분석: ALA의 인가를 받은 문헌정보학 프로그램을 중심으로)

  • Park, Hyoungjoo
    • Journal of the Korean Society for information Management
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    • v.39 no.1
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    • pp.119-143
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    • 2022
  • This preliminary study examined the status of data science-related course syllabi in the American Library Association (ALA) accredited Library and Information Science (LIS) programs. The purpose of this study was to explore LIS course syllabi related to data science, such as course title, course description, learning outcomes, and weekly topics. LIS programs offer various topics in data science such as the introduction to data science, data mining, database, data analysis, data visualization, data curation and management, machine learning, metadata, and computer programming. This study contributes to helping instructors develop or revise course materials to improve course competencies related to data science in the ALA-accredited LIS programs.

Comparison with the 6th and 7th Science Curricular for Inquiry Skill Elements in the Elementary and Secondary School (초.중.고등학교 탐구 기능 요소에 대한 6차와 7차 과학 교육 과정의 비교)

  • Ha, So-Hyun;Kwack, Dae-Oh;Sung, Min-Wung
    • Journal of The Korean Association For Science Education
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    • v.21 no.1
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    • pp.102-113
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    • 2001
  • In order to compare with the 6th and 7th science curricular for the inquiry skill elements in the elementary and secondary school, we divided skill domains into five classes which were process skill, step skill for inquiry instruction, inquiry activity skill, manipulative skill and breeding-farming skill. And then we investigated the kinds and frequencies for the inquiry skill elements of the 6th and 7th curricular in the elementary and secondary school. The results were as follows: 1. The total kinds of inquiry skill element showed 17 kinds in the 6th curriculum and 23 kinds in the 7th. Therefore, the 7th curriculum was higher 1.4 times than the 6th curriculum in the kinds of skill elements. 2. The total frequencies for the inquiry skill elements of the 6th curriculum were 408 and those of the 7th were 729. Therefore, the 7th curriculum was about 1.8 times as many as the 6th. 3. In the kinds of inquiry skill elements according to the school levels, the course of the elementary school showed 14 kinds in the 6th curriculum and 18 kinds in the 7th. The course of middle school showed 7 kinds in 6th and 16 kinds in 7th. The integrated science course of high school was 10 kinds in the 6th and 10 kinds in the 7th. The skill elements in four science curricular of the high school course showed total 11 kinds in the 6th and 21 kinds in the 7th. And then the kinds of inquiry skill elements of the 7th curriculum in the middle and high school course showed about 2 times as many as the 6th curriculum. In the school level, the increase of skill elements showed the highest in the middle school course, and then in the high school course. 4. The total skill elements from the elementary school to the high school in the 6th science curriculum showed 17 kinds and in the order from the highest to the lowest rates, such as experimenting 20%, observing 15%, interpreting and analyzing data 13%, investigating 9%, measuring 7%, drawing a conclusion and assessment 7%, discussion 6%, communicating 5%, classifying 4%, recognizing problems and formulating hypothesis 4%, predicting 3%, designing and carrying out an experiment 3%, collecting and treating data 2%, manipulating skill 1%, modeling 0.5%, breeding and farming 0.3% and inferring 0.2%. 5. The total skill elements from the elementary school to the high school in the 7th curriculum appeared 23 kinds and in the order from the highest to the lowest rates, such as drawing a conclusion and assessment 31%, investigating 14%, collecting and treating data 8%, observing 7%, experimenting 7%, recognizing problems and formulating hypothesis 6%, interpreting and analyzing data 4%, measuring 3%, discussion 3%, manipulating skill 3%, modeling 3%, classifying 2%, project 2%, educational visits 1%, controlling variables 1%, predicting 1%, inferring 1%, operational definition 1%, communicating 1%, designing and carrying out an experiment 0.3%, breeding and farming 0.3%, applicating a number 0.2% and relating with time and space 0.2%. In the conclusion, the 7th curriculum was added 6 kinds of skill elements to the 6th curriculum, such as operational definition, applicating a number, relating with time and space, controlling variables, educational visits and project.

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A Comparative Study on Statistics Education Between Korea and USA

  • Kim, Sang-Lyong
    • Journal of the Korean Data and Information Science Society
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    • v.17 no.4
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    • pp.1107-1117
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    • 2006
  • In this thesis, we conduct a comprehensive analysis of the current situation and the inherent problems found in modern statistics education in Korea. We investigate the American probability and statistics curriculum currently used in Wisconsin and discuss the overall state of statistics education in The United States. Through comparison of both the Korean and Wisconsin model, we explore the future direction of statistical education.

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