• 제목/요약/키워드: data science education

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A Study on Artificial Intelligence Education Design for Business Major Students

  • PARK, So-Hyun;SUH, Eung-Kyo
    • 산경연구논집
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    • 제12권8호
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    • pp.21-32
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    • 2021
  • Purpose: With the advent of the era of the 4th industrial revolution, called a new technological revolution, the necessity of fostering future talents equipped with AI utilization capabilities is emerging. However, there is a lack of research on AI education design and competency-based education curriculum as education for business major. The purpose of this study is to design AI education to cultivate competency-oriented AI literacy for business major in universities. Research design, data and methodology: For the design of AI basic education in business major, three expert Delphi surveys were conducted, and a demand analysis and specialization strategy were established, and the reliability of the derived design contents was verified by reflecting the results. Results: As a result, the main competencies for cultivating AI literacy were data literacy, AI understanding and utilization, and the main detailed areas derived from this were data structure understanding and processing, visualization, web scraping, web crawling, public data utilization, and concept of machine learning and application. Conclusions: The educational design content derived through this study is expected to help establish the direction of competency-centered AI education in the future and increase the necessity and value of AI education by utilizing it based on the major field.

인공잡음원의 공간분포와 MT자료의 상관관계 (Correlation between the distribution of cultural noise source and MT data)

  • 이춘기;이희순;권병두
    • 한국지구물리탐사학회:학술대회논문집
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    • 한국지구물리탐사학회 2005년도 공동학술대회 논문집
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    • pp.209-214
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    • 2005
  • 자기지전류 탐사의 적용에 있어 인공잡음의 영향은 탐사의 승패를 좌우하는 매우 중요한 요소이며 인공잡음의 영향을 최소화할 수 있는 탐사의 설계와 자료처리가 요구되고 있다. 본 연구에서는 수치공간자료들에서 추정되는 인공잡음의 영향과 실제 탐사 자료 간의 상관관계를 살펴봄으로써 자기지전류 탐사에 있어 공간자료의 활용가능성을 고찰하였다. 60Hz 조화파 대역에서는 건물과 도로가 주요한 인공잡음원이며 잡음원의 분포와 자기장의 파워가 서로 상관관계를 가짐을 확인하였다. 'Dead band'로 불리는 0.05-0.5Hz 대역에서는 매우 강한 분극을 가지는 신호가 광범위하게 관찰되고 있으며 이는 탐사지역에 인접한 거대도시의 영향으로 추정된다.

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지질 연구 자료의 관리와 활용을 위한 데이터베이스 구축: 암석, 광물의 분류와 3D 모델을 중심으로 (Establishing A Database for the Management and Utilization of Geological Research Data: Focusing on the Classification of Rocks and Minerals and 3D Models)

  • 고보균;이창욱;박성재;이기영
    • 한국지구과학회지
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    • 제41권2호
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    • pp.137-146
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    • 2020
  • 국내에는 독자적으로 연구가 수행되어 개인적으로 보관 중인 지질 연구 자료가 다량 존재하는데, 이 자료에 대한 접근성이 떨어지기 때문에 다른 연구자들과의 공유가 용이하지 않다. 이런 자료에 대한 메타데이터를 체계적으로 구축하고 총괄적으로 관리하여 이 자료를 필요로 하는 연구자들이 효과적으로 연구를 수행할 수 있는 기회를 제공하는 것이 이 연구의 목적이다. 국내에서 연구된 약 1000여개의 지질 시료(900여개의 암석과 화석 시료, 100여개의 박편 시료)를 수집하였고, 각 시료의 고화질 사진, 분류, 시료명, 보유기관, 산지, 좌표, 특징 등에 대한 메타데이터를 구축하였다. 암석과 화석 시료 100개에 대해 추가적으로 3D 모델링을 수행하였다. 이 연구를 통해 유실되거나 방치되는 중요한 지질 자료에 대한 연구자들의 접근성이 높아지고 자료의 공유가 가능해진다. 따라서 연구자들은 반복적인 연구 자료 수집 작업으로 인한 시간과 비용의 낭비를 줄일 수 있고, 효율적인 연구를 수행하여 경쟁력을 갖춘 연구 결과를 획득할 수 있다. 또한 이미 확보된 시료에 대한 무분별한 반복 채집으로 인해 중요한, 그리고 피해에 취약한 자료가 훼손되는 것을 방지할 수 있다. 향후 전국의 대학과 연구기관에서 보관중인 다양한 암석과 박편 시료에 대한 메타데이터를 추가로 구축하면 자료의 식별 및 진전된 연구가 가능하고, 더불어 전문적인 광물학 및 암석학의 기초 지식에 대한 비교와 분석을 기대할 수 있다.

초등 초임교사의 과학의 본성에 대한 신념과 과학 교수-학습 활동과의 관련성 (Investigation of the Relationships between Beginning Elementary Teachers' Beliefs about the Nature of Science, and Science Leaching and Learning Context)

  • 양일호;한기갑;최현동;오창호;조현준
    • 한국초등과학교육학회지:초등과학교육
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    • 제24권4호
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    • pp.399-416
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    • 2005
  • The purpose of this study was to examine the relationship between science teaching practices and beliefs about the nature of science. Defining teachers' beliefs as a broad construct, the researcher tried to examine not only the teachers' understanding about the nature of science, but also the effect and reflection in science teaching practices with regards to the nature of science. Guiding research questions were how the teachers' science teaching practices reflected their beliefs about the nature of science. The methodology of this study was qualitative approach that included interviews, classroom observations, and instructional materials. At an urban area of Korea, five beginning elementary teacher was chosen. The cross-case and grounded theory study design were adopted as data analysis process. The results of data analysis were checked by teachers for internal validity. This study identified the teachers' beliefs about the nature of science suggested by many researchers and revealed that these teachers' beliefs reflected a little in science teaching practices. On the occasion it was reflected, restricted merely within the narrow limits the way to teach the concepts and contents presented in science curriculum. In addition, some of the obstacles that these teachers' beliefs did not reflect the science teaching practices with regards to the nature of science were investigated in this study.

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Conjoint Analysis for the Preferred Subjects of Elementary School Computer Education

  • Hur, Ji-Sun;Pak, Ro-Jin
    • Journal of the Korean Data and Information Science Society
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    • 제18권2호
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    • pp.357-364
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    • 2007
  • This article has tried to identify the preferred subjects of after school computer educations in elementary schools by means of the conjoint analysis. We surveyed the fourth, fifth and sixth grade students from the three schools in Seoul. It has been found that graphic related courses are most preferred, though such courses are taught in public schools. Based on this research, we propose a new curriculum for after school computer education.

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A Note of A Partial Amendment of Probability and Statistics Education Curriculum in Korea

  • Lee, Sang-Bock
    • Journal of the Korean Data and Information Science Society
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    • 제18권4호
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    • pp.1065-1071
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    • 2007
  • A partial amendment of probability and statistics education in Korea has carried out from January, 2007. We have compared between the patial amendment and 7th national mathematics curriculum. Some ideas are proposed to achieve goals of the revision; textbooks of mathematics are well supervised by well-trained statisticians and teachers are periodically trained for the statistical knowledge.

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Using Data Mining Techniques in Building a Model to Determine the Factors Affecting Academic Data for Undergraduate Students

  • Nafie, Faisal Mohammed;Hamed, Abdelmoneim Ali Mohamed
    • International Journal of Computer Science & Network Security
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    • 제21권4호
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    • pp.306-312
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    • 2021
  • The main goal of higher education institutions is to present a high level of quality education to its students. This study uses data mining techniques to extract educational data from cumulative databases and used them to make the right decisions. This paper also aims to find the factors affecting students' academic performance in Majmaah University, KSA, during 2010 - 2017 period. The study utilized a sample of 6,158 students enrolled from two colleges, males and females. The results showed a high percentage of stumbling and dismissed between graduate and regular students where more than 62.5% failed to follow the plan. Only 2% of students scored distinction during their study of all graduated since their grade point average, secondary level, was statistically significant, where p<0.05. Dismissed percentage was higher among males. These results promoted some recommendations in which decision-makers could take them in considerations for better improvement of academic achievements: including of specialized programs to follow-up in regards to stumbling and failure. Utilization of different communication tools are needed to activate academic advisory for dismiss and dropout evaluation.

Verification of the Effectiveness of Artificial Intelligence Education for Cultivating AI Literacy skills in Business major students

  • SoHyun PARK
    • 융합경영연구
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    • 제11권6호
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    • pp.1-8
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    • 2023
  • Purpose: In the era of the Fourth Industrial Revolution, individuals equipped with fundamental understanding and practical skills in artificial intelligence (AI) are essential. This study aimed to validate the effectiveness of AI education for enhancing AI literacy among business major student. Research design, data and methodology: Data for analyzing the effectiveness of the AI Fundamental Education Program for business major students were collected through surveys conducted at the beginning and end of the semester. Structural equation modeling was employed to perform basic statistical analyses regarding gender, grade, and prior software (SW) education duration. To validate the effectiveness of AI education, seven variables - AI interest, AI perception, data analysis/utilization, AI projects, AI literacy, AI self-efficacy, and AI learning persistence - were defined and derived. Results: All seven operationally defined variables showed statistically significant positive changes. The average differences were observed as follows: 0.47 for AI interest, 0.32 for AI perception, 0.37 for data analysis/utilization, 0.27 for AI projects, 0.25 for AI literacy, 0.39 for AI self-efficacy, and 0.41 for AI learning persistence. Statistically, AI interest exhibited the most substantial average difference. Conclusions: Through this study, the applied AI education was confirmed to enhance learners' overall competencies in AI, proving its utility and effectiveness in AI literacy education for business major students. Future research endeavors should build upon these results, focusing on ongoing studies related to AI education programs tailored to learners from diverse academic backgrounds and conducting continuous efficacy evaluations.

Science Educational Interpretation of Exhibit Characteristics

  • Lee, Chang-Zin;Kim, Chan-Jong;Ryu, Chun-Ryeol;Shin, Myeong-Kyeong
    • 한국지구과학회지
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    • 제25권3호
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    • pp.152-159
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    • 2004
  • The purpose of this study was to explore characteristics of natural history museum exhibits from the viewpoint of science education. A total of ninety exhibits for this study were examined in national science museums of Korea and Japan. Exhibits of Tokyo national science museum were again divided into two groups: the old and traditional types, and the new and renovated ones. Even though analyzing data was not undertaken through quantitative statistical process, the interpretation of the data was valid enough to fulfill the purpose of the research. While there were clear changes and differences between the old and the new types of exhibits in Tokyo national science museum, the old part of Tokyo museum was similar to one in Korea. Based on analyzing the new types of Tokyo museum, the current movement in the field of natural history museums of Korea explicitly has toward utilizing more science education concepts and ideas.

Distribution of Knowledge through Online Learning and its Impact on the Intellectual Potential of PhD Students

  • Dana KANGALAKOVA;Aisulu DZHANEGIZOVA;Zaira T. SATPAYEVA;Kuralay NURGALIYEVA;Anel A. KIREYEVA
    • 유통과학연구
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    • 제21권4호
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    • pp.47-56
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    • 2023
  • Purpose: the research aims to analyze the impact of the distribution of knowledge through online learning on the intellectual potential of PhD students and produce recommendations for policy to improve intellectual capacity. During the literature review, it was determined that a large number of studies examined the impact of online learning on the quality of education at different levels. Research design, data and methodology: the research methodology is based on subjective assessment and studying the students' opinions. The basis of the study was a comprehensive analysis of primary data obtained through a sociological survey of PhD students. 324 respondents from humanitarian, medical and natural faculties participated in the survey. Results: the study revealed that online learning helps increase students' intellectual potential. PhD students had a positive attitude towards the transition from traditional education to online learning. It should be noted that, according to the results, the most popular gadgets were laptops and smartphones, which were characterized by high mobility and ease of use. Based on the obtained results, recommendations were developed for the formation of online learning with a focus on increasing students' intellectual potential. Conclusions: based on the results of the assessment of educational and innovative potential, policy recommendations and further research in this area were proposed.