• Title/Summary/Keyword: Information Use Education

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The use of iTokTok in terms of teaching and learning in the 2022 revised curriculum (2022 개정 교육과정의 교수학습 측면에서 아이톡톡의 활용)

  • Eun-Ji Kim;Young-Jun Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.237-238
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    • 2023
  • 2022 개정 교육과정은 미래 사회에 대응하기 위한 역량을 함양하는 것에 중점을 두고 있다. 특히 디지털 대전환에 중점을 두고 지능정보기술 활용과 디지털 학습 환경 구축을 강조하고 있다. 경상남도 교육청에서는 미래교육 환경 구축을 위해 빅데이터-AI 플랫폼 아이톡톡을 개발하여 이에 대응하고 있다. 본 연구에서는 2022 개정 교육과정의 교수학습 측면에서 아이톡톡의 활용을 살펴보았다.

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Design of Intelligent Filter for Telerobotic System

  • Gaponov, Igor;Cho, Byun-Chan;Choi, Seong-Joo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.8 no.2
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    • pp.100-104
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    • 2008
  • In this paper, intelligent filtering methodology for masterarm translation signal is proposed. Fidelity and stability are contradicting factors in teleoperation. Human hand trembling filtering is one of the problems in telemanipulation field. During every operation the hand has a certain vibration that can affect the quality of teleoperation, especially in carrying FPD (Flat Panel for Display), nanomanipuation and other precise tasks. It is very important to study the kinesthetic perception of the human and to optimize the teleoperation system accordingly. To cancel out the influence of human's hand vibration the signal from the masterarm should be filtered. One of the feasible solutions is to use an intelligent filter based on fuzzy logic, which is a very flexible instrument. Applying intelligent filtering methodology, we can use some heuristic methods to solve the filtering problem.

A Better Prediction for Higher Education Performance using the Decision Tree

  • Hilal, Anwar;Zamani, Abu Sarwar;Ahmad, Sultan;Rizwanullah, Mohammad
    • International Journal of Computer Science & Network Security
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    • v.21 no.4
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    • pp.209-213
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    • 2021
  • Data mining is the application of specific algorithms for extracting patterns from data and KDD is the automated or convenient extraction of patterns representing knowledge implicitly stored or captured in large databases, data warehouses, the Web, other massive information repositories or data streams. Data mining can be used for decision making in educational system. But educational institution does not use any knowledge discovery process approach on these data; this knowledge can be used to increase the quality of education. The problem was happening in the educational management system, but to make education system more flexible and discover knowledge from it huge data, we will use data mining techniques to solve problem.

A Case Study of Artificial Intelligence Education for Graduate School of Education (교육 대학원에서의 인공지능 교육 사례)

  • Han, Kyujung
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.401-409
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    • 2021
  • This study is a case study of artificial intelligence education subjects in the graduate school of education. The main educational contents consisted of understanding and practice of machine learning, data analysis, actual artificial intelligence using Entries, artificial intelligence and physical computing. As a result of the survey on the educational effect after the application of the curriculum, it was found that the students preferred the use of the Entry AI block and the use of the Blacksmith board as a physical computing tool as the priority applied to the elementary education field. In addition, the data analysis area is effective in linking math data and graph education. As a physical computing tool, Husky Lens is useful for scalability by using image processing functions for self-driving car maker education. Suggestions for desirable AI education include training courses by level and reinforcement of data collection and analysis education.

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A Study on De-Identification of Metering Data for Smart Grid Personal Security in Cloud Environment

  • Lee, Donghyeok;Park, Namje
    • Journal of Multimedia Information System
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    • v.4 no.4
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    • pp.263-270
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    • 2017
  • Various security threats exist in the smart grid environment due to the fact that information and communication technology are grafted onto an existing power grid. In particular, smart metering data exposes a variety of information such as users' life patterns and devices in use, and thereby serious infringement on personal information may occur. Therefore, we are in a situation where a de-identification algorithm suitable for metering data is required. Hence, this paper proposes a new de-identification method for metering data. The proposed method processes time information and numerical information as de-identification data, respectively, so that pattern information cannot be analyzed by the data. In addition, such a method has an advantage that a query such as a direct range search and aggregation processing in a database can be performed even in a de-identified state for statistical processing and availability.

Development of Seamless N-Screen Services through Multicast Transmission scheme (멀티캐스트 전송을 이용한 Seamless N-스크린 서비스 개발)

  • Hur, Kyeong;Choi, Sang-Gil;Lee, Hye-Jin;Jeon, Hye-Ji;Kim, Jin-Woo;Lee, Seong-Ro
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.04a
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    • pp.234-235
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    • 2015
  • P2P 스트리밍 가능한 OSMU(One Source Multi Use) N-스크린 서비스를 제공하기 위해서는 Seamless 무선 통신이 반드시 요구된다. 본 논문에서는 Seamless N-스크린 서비스를 위한 무선 통신 MAC 구조로서, WiMedia Distributed-MAC 프로토콜을 적용하고, OSMU N-스크린 서비스를 제공하기 위해, 멀티캐스트 전송 기술을 제안하고 성능을 분석하였다.

The Role of IT Usage in Mediating the Relationship between Knowledge Sharing and Academics Performance

  • Naief G Azyabi
    • Asia pacific journal of information systems
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    • v.28 no.3
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    • pp.167-182
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    • 2018
  • The purpose of this study is to investigate the relationship between knowledge sharing and academic performance in the context of quality-assurance related work. It furthermore aims to explore the role of information technology in mediating this relationship. Quantitative method was applied to collect data from the participants using an online-based questionnaire. Convenience sampling technique was used. The responses were collected from 140 participants in a university from Saudi Arabia. The study found a strong positive relationship between knowledge sharing and individual performance. It was also found out that information technology partially mediates the relationship between knowledge sharing and individual performance. The research unearths the significant contribution made by information technology in mediating the relationship between individual-level knowledge sharing and the individual performance. This helps to understand the positive impacts on individual work performance in institutions of higher education that would be derived if individuals use various forms of IT to share knowledge. The focus of the research is the individual performance as the pertinent contribution towards positive outcomes in institutional performance.

Development of Systematic Instructional Materials about "Programming" by Understanding of Game Programs (게임 프로그램 이해를 통한 체계적 "프로그래밍" 교수 자료 개발)

  • Kim, Jong-Hoon;Shin, Jae-Hun
    • Journal of The Korean Association of Information Education
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    • v.5 no.1
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    • pp.133-142
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    • 2001
  • The conception of the computer education should be paid attention to use, as it has meaning of the education using the computer and the education learning the computer. As a notion of the latter, the computer education points at survey of calculation and study which is related programing. Especially study of programing demands various understandings of external fields in programing like operating system and knowledge of hardware with complex courses like coding, compiling, debugging. Existing programming has set importance on mechanical memorizing and using programing grammar so that it has not been suitable for cultivating logical thoughts. So this paper intends to analyze simple game sources coded by C which is based of programing language to develop a fundamental insight.

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A Research on Curriculum Design for Artificial Intelligence Liberal Arts Education by Major Category : Focusing on the Case of D University (전공계열별 인공지능 교양교육을 위한 교육과정 제언 : D대학 교양필수 교과목 사례를 중심으로)

  • Park, So Hyun;Suh, Eung Kyo
    • The Journal of Information Systems
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    • v.30 no.3
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    • pp.177-199
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    • 2021
  • Purpose This study explores the development direction of the artificial intelligence curriculum as a universal education that enhances the ability of college students to flexibly use artificial intelligence these days, where artificial intelligence education is spreading, and the educational components based on this are subdivided according to the characteristics of each major. Design/methodology/approach In order to develop the educational purpose of the subject and the detailed educational curriculum suitable for the subject of education, we first analyzed domestic and foreign prior research related to artificial intelligence liberal arts education. As the main components derived by experts, the basic concept of artificial intelligence converges to literacy to read and write for everyday problem solving, as well as problem-solving ability to manipulate real data and software. Findings The results showed that In the artificial intelligence literacy module, trends and prospects of artificial intelligence and necessary competencies were checked, and cases applied to major fields were examined. In the AI utilization and application part, basic data analysis items and content composition were composed through creative thinking, logical thinking, and intelligence. In order to design the curriculum, a software development language suitable for each major area was first selected, and AI education content areas, elements, and packages were defined and designed for each major area to meet the objectives of the subject.

Importance and Performance Analysis of Pre-service Teachers' Competencies related to the Use of Technology (예비교사 테크놀로지 활용 역량의 중요도와 실행도 분석)

  • Jo, Miheon
    • Journal of The Korean Association of Information Education
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    • v.20 no.6
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    • pp.597-606
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    • 2016
  • By utilizing the TPCK model, this research analyzed the present state of pre-service elementary teachers' competencies related to the use of technology. It also conducted the Importance-Performance Analysis to prioritize remedial issues to improve curriculum related to the use of technology. A survey was conducted to 165 pre-service teachers who are senior students at a University. A questionnaire was used to investigate pre-service teachers' perception on the importance and performance related to Technology Knowledge, Technological Pedagogical Knowledge, Technological Content Knowledge and Technological Pedagogical Content Knowledge. As the result of the t-test, significant differences between importance scores and performance scores were found in all the competencies and 17 sub-competencies. In addition, as the results of the importance-performance analysis, 5 sub-competencies were found to be concentrated for the improvement, and 4 sub-competencies were found to be kept up because of their good work. Also 5 sub-competencies were turned out to have low priority, and 3 sub-competencies were turned out to be possible overkill.