• Title/Summary/Keyword: data science education

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The Errors of Forecast Educational Statistics on Korean National Center for Education Statistics & Information

  • Kim, Jong-Tae
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.1
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    • pp.141-148
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    • 2007
  • Recently, Korean national center for education statistics & information exhibits the results of forecast educational statistics from 2007 to 2021 year. The purpose of this paper is to suggest the errors and problems on the results of forecast educational statistics and the distribution of the number of students.

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Analysis of Educational Services Distribution: The Case of Kazakhstan

  • KIREYEVA, Anel A.;SABDENALIYEV, Bakhtiyar;DOSZHAN, Raigul;KREDINA, Anna A.;YERMEKBAYEVA, Dinara
    • Journal of Distribution Science
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    • v.20 no.11
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    • pp.19-31
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    • 2022
  • Purpose: This research aims to analyze the educational potential and students' satisfaction with the quality of education services distribution in Kazakhstani universities. The conceptual review shows that very few studies on regional development have been able to determine the level of satisfaction with the quality of educational services depending on the university's location. Research design, data, and methodology: The research methodology is divided into two approaches descriptive analysis and qualitative data analysis. The current educational situation and the distribution of educational services in the largest Kazakh universities were studied based on the proposed approaches' use. Statistical data are taken for indicators of educational potential for 2010-2020 from the Bureau of National Statistics. The primary data were collected based on a survey for 2021-2022 in five regions of Kazakhstan. Results: The results showed that there is a gender gap between men and women and regional disparities between the regions of Kazakhstan in the coverage of higher education. The results of the sociological survey revealed that the quality of educational services depends on the territorial location of the university. Conclusions: Based on the results of the assessment of educational potential and educational services, policy recommendations and further research in this area were proposed.

Students' Views of Science

  • Park, Hyun-Ju
    • Journal of The Korean Association For Science Education
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    • v.24 no.1
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    • pp.121-128
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    • 2004
  • This study was to investigate high students' conceptions of acids and bases, and their views on learning science. Multiple sources of data were collected over six months with a participation of sit tenth graders and their science teacher. The transcripts of interviews and other data were examined with an eye toward students' conceptions of acids and bases, and their views of learning science. Students' views of science are displayed the representative pattern. Each pattern is represented with an episode. Students' views of learning have been found to reflect the transmissive models of science educational practice. Students accept passive and difficult-to-modify views of the learner roles that they should play in the science classroom. Students identified science classes as conservative places, despite the introduction of science literacy as a goal of Korean science education since 1980. Behaviorism remains the major influence in their expectation, design, and practice in school science. Moreover, 'transmission' remains the persistent and dominant classroom cultural dynamic for both teaching and learning of science.

Development of SW Education Program for Data-Driven Problem Solving Using Micro:bit (마이크로비트를 활용한 데이터 기반 문제해결 SW교육 프로그램 개발)

  • Kim, JBongChul;Yu, HeaJin;Oh, SeungTak;Kim, JongHoon
    • Journal of The Korean Association of Information Education
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    • v.25 no.5
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    • pp.713-721
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    • 2021
  • As the Ministry of Education has introduced AI education in earnest in the 2022 revised curriculum, there is growing sympathy for the need for data-related education along with AI education. In order to develop the competence to understand and utilize artificial intelligence properly, the understanding and utilization competence of data must be based on it. In this study, a data-driven problem solving SW education program using microbit was developed by synthesizing the results of demand analysis and previous research analysis. The data-driven problem solving education program was developed with educational elements that can be applied to elementary school students among the contents of data science. Through the program developed in this study, education that combines various topics and subjects can be linked based on real-life data. Furthermore, based on an understanding of data, it will lay the foundation for a more substantial AI education program.

Analysis of the State of Science Teaching Anxiety of Elementary Teachers for the Scientifically Gifted according to Their Personal Variables (교사변인에 따른 초등과학 영재교사의 일반학급과 영재학급에서의 과학교수불안 분석)

  • Kim, Sang-Il;Yeo, Sang-Ihn
    • Journal of Korean Elementary Science Education
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    • v.33 no.1
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    • pp.95-104
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    • 2014
  • The purpose of this study is to analyze the state of science teaching anxiety of elementary teachers for the scientifically gifted according to their personal variables such as gender, career in education and gifted education, training course for gifted education, participation in meeting related to gifted education. The subjects in this study were 64 elementary school teachers who were in charge of science gifted education. The instrument to assess their science teaching anxiety was Westerback's S-STAI, modified in this study to be suitable for science gifted education. The collected data were analyzed by the statistical package SPSS. The findings of the study were as follows: The teachers for gifted felt more teaching anxiety in gifted classes than in normal classes on the whole. There were statistically significant differences in their personal variables such as gender, career in education experience, experience of taking gifted education training courses, and participation in meeting related to gifted education. Implications related to reduce the gifted education teachers' teaching anxiety were discussed in depth.

Development of the Liberal Arts Course for Informatics, Mathematics, and Science Convergence Education using No Code Data Analysis Tool (노 코드 데이터 분석 도구를 활용한 정보·수학·과학 융합교육 교양 강좌 개발)

  • Soyul Yi;Youngjun Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.447-448
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    • 2023
  • 본 연구에서는 비전공자들을 위한 디지털 교육을 위하여 노 코드 프로그램을 활용한 정보, 수학, 과학 융합교육 교양 강좌를 개발하였다. 노 코드 프로그램으로는 오렌지3 데이터 마이닝을 선정하였는데, 이는 데이터 분석, 시각화, 머신러닝 모델의 활용이 용이하다는 강점을 가지고 있다. 또한, 산업환경 변화에 대비하는 핵심 교과인 과학, 수학, 정보의 중요성과 데이터 분석과의 밀접성을 고려하여 교육 내용을 융합할 수 있도록 선정하였다. 개발된 교육 프로그램은 8인이 전문가 검토 결과 내용 타당도가 확보되었음을 확인할 수 있었다. 추후 연구에서는 이 강좌를 대학의 학부생에게 적용하여 그 효과성을 확인해 보고자 한다.

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Constructivist Science Education and the Map of Students' Physics Misconceptions (구성주의적 과학교육과 학생의 물리 오개념 지도)

  • 송진웅
    • The Mathematical Education
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    • v.42 no.2
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    • pp.87-109
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    • 2003
  • This paper aims to review the overall development of constructivist approaches in science education research from two different perspectives, that is a summary of the past development in science education in general and a report of the outline of a recent research project on students' physics misconceptions in particular. In the summary of the past development of constructivist science education the introduction of constructivism as well as its psychological and philosophical backgrounds are briefly reported. Then main findings of the researches of constructivist approach are discussed in terms of the features of students' misconceptions, of the ways of effective conceptual change, of the implications toward school science education, and of the criticisms given to the constructivist approach. In the report of a recent development in addition to its background necessity and implications, the research structure and the format of the data analysis of the study on the map of students' physics misconceptions are presented. It is particularly emphasized that the practical informations and suggestions for actual teaching of school science, such as the database(DB) of students' misconceptions and teaching guides, are of most practical and effective values in order to maximize the advantage of the constructivist approach to science education.

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Qualitative Research on Communication Education of Dental Hygienist by Focus Group Interview (포커스 그룹을 이용한 치과위생사 커뮤니케이션 교육에 관한 질적연구)

  • Choi, Jin-Sun;Ma, Deuk-Sang;Jung, Se-Hwan;Park, Deok-Young
    • Journal of dental hygiene science
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    • v.18 no.2
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    • pp.113-123
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    • 2018
  • The purpose of this study to review clinicians and educators on required communication education factors of dental hygienists using qualitative research by focus group interview. The participants were dentists, dental hygienists and professors. A questionnaire was developed on communication education to collect data. The collated data derived concepts related to communication education. After transferring the data, were analyzed by open coding and axial coding using computer-aided qualitative data analysis software. Focus group emphasized that higher education on communication should be preceded before they are put into the clinical field. However, the dental hygienist emphasized experiential education in the clinical field, the professor emphasized additional education for continuity of communication education even after graduation. Besides, focus group emphasized role play, and the professor required that the standardization of the dental communication training courses objectives and role play modules and the education environment infrastructure should be established to implement communication education efficiently. The categories of communication education stated in the focus group were time and method for the dental communication training courses, dental communication training courses standardization and educational environment, of evaluation of communication competency, of perception of the dental communication training courses. This study identified the communication education development to conform with the needs of the clinical field strengthen and cultivate communication competency dental hygienists based on factors of communication education emphasized in focus groups.

Dynamics-Based Location Prediction and Neural Network Fine-Tuning for Task Offloading in Vehicular Networks

  • Yuanguang Wu;Lusheng Wang;Caihong Kai;Min Peng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.12
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    • pp.3416-3435
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    • 2023
  • Task offloading in vehicular networks is hot topic in the development of autonomous driving. In these scenarios, due to the role of vehicles and pedestrians, task characteristics are changing constantly. The classical deep learning algorithm always uses a pre-trained neural network to optimize task offloading, which leads to system performance degradation. Therefore, this paper proposes a neural network fine-tuning task offloading algorithm, combining with location prediction for pedestrians and vehicles by the Payne model of fluid dynamics and the car-following model, respectively. After the locations are predicted, characteristics of tasks can be obtained and the neural network will be fine-tuned. Finally, the proposed algorithm continuously predicts task characteristics and fine-tunes a neural network to maintain high system performance and meet low delay requirements. From the simulation results, compared with other algorithms, the proposed algorithm still guarantees a lower task offloading delay, especially when congestion occurs.

Analysis on Fitness of Contents Selected for Data Structure Education in Elementary School Curriculum (초등교육과정에서 자료구조 교육을 위한 내용 선정의 적합성 조사 분석)

  • Mun, Seong-Yun;Shin, Soo-Bum
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.2
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    • pp.311-320
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    • 2020
  • This study conducted a comparative analysis on domestic and foreign computer science curriculum, in order to introduce the data structure education as a core foundation of computer science. The findings show that the scope and level of data structure contents included in elementary school software education are poorer than those in U.S.A and England. To resolve such a problem, it selected some data structure education factors and a Delphi survey about the importance of contents and the fitness of education periods were administered to experts. Although they responded that 'text information', 'array', 'stack' and 'queue' for linear structures', and 'tree' for non-linear structures are important, their opinions were different in education periods by its factors. The generalization of the findings may be limited, given that the analysis was based on the survey of some experts, but this study has an implication, in that it provides important information for improving elementary school software curriculum for the introduction of data structures.