• Title/Summary/Keyword: Continuous learning

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Development of the Content Framework for Elementary Artificial Intelligence Literacy Education (초등학생의 인공지능 소양을 기르기 위한 내용체계 개발)

  • Youngsik Jeong
    • Journal of The Korean Association of Information Education
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    • v.26 no.5
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    • pp.375-384
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    • 2022
  • As artificial intelligence(AI) education becomes essential in elementary schools with the revised 2022 curriculum, it is necessary to develop an AI curriculum for elementary school students. In this study, I developed the AI content framework to cultivate AI literacy of elementary school students. AI education areas were largely divided into AI understanding and AI development, and detailed areas were divided into eight categories: using of AI, impact of AI, AI ethics, recognition of AI, data expression, data exploring, learning of AI, and prediction of AI. In addition, twice expert Delphi surveys were conducted to verify the validity of the subject elements and achievement standards for each area. The final draft was finalized after reflecting expert opinions on the AI education content framework. In order for AI education to be expanded in elementary schools in the future, continuous research is needed, such as developing textbooks and teaching tools according based on the AI framework proposed in this study, securing the lesson hours to apply them to schools, and correcting and supplementing the problems of them.

Conv-LSTM-based Range Modeling and Traffic Congestion Prediction Algorithm for the Efficient Transportation System (효율적인 교통 체계 구축을 위한 Conv-LSTM기반 사거리 모델링 및 교통 체증 예측 알고리즘 연구)

  • Seung-Young Lee;Boo-Won Seo;Seung-Min Park
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.2
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    • pp.321-327
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    • 2023
  • With the development of artificial intelligence, the prediction system has become one of the essential technologies in our lives. Despite the growth of these technologies, traffic congestion at intersections in the 21st century has continued to be a problem. This paper proposes a system that predicts intersection traffic jams using a Convolutional LSTM (Conv-LSTM) algorithm. The proposed system models data obtained by learning traffic information by time zone at the intersection where traffic congestion occurs. Traffic congestion is predicted with traffic volume data recorded over time. Based on the predicted result, the intersection traffic signal is controlled and maintained at a constant traffic volume. Road congestion data was defined using VDS sensors, and each intersection was configured with a Conv-LSTM algorithm-based network system to facilitate traffic.

A Study on the ICT-based Disability Evaluation Applications for Special Needs Education (특수 교육을 위한 ICT 기반의 장애 평가 애플리케이션 연구)

  • Jeong, Jongmun;Jung, Daeyoung;Hwang, Mintae
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.3
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    • pp.889-899
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    • 2017
  • Various efforts and technical development for integrating the ICT technologies to the area of special needs education have been continuing. In this paper we have studied and implemented various ICT-based disability evaluation websites and mobile applications for special needs education and also verified their usefulness from the field test at disability schools. The valuer can access the websites and mobile applications for autistic behavior or learning disability evaluation at the any places and by any devices such as laptop, PC, smartphone and tablet PC. And all the evalation results are stored into and managed at the server database and shared with websites and mobile applications to integrate together easily. From the study about disability evaluation and implementation results we have a confidence that they will be useful to support the seamless evaluation and the continuous monitoring services for the disabled at the special needs education fields.

The Development and Application of a Science Education Program Based on Engineering Design Process for High School Students (고등학생을 위한 공학 설계 기반 과학 교육 프로그램 개발 및 적용)

  • Hwa-Jung Han;Kew-Cheol Shim
    • Journal of The Korean Association For Science Education
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    • v.43 no.3
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    • pp.321-331
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    • 2023
  • This study aimed to develop an engineering design-based science education program for high school students and to investigate its effects on students' science-related attitudes and engineering design abilities. "Creating healthy shoes for maintaining proper posture program" was developed as an activity to come up with creative solutions using the methodology of an engineering design process to solve problems in daily life. The creating healthy shoes for maintaining proper posture program consisted of the following five stages: "defining the problem," "ingathering information related to the problem," "generating the solution," "implementing the best solution," and "evaluating the solution & reflecting." As a result of applying this engineering design-based science education program, it improved the high school students' science-related attitudes and engineering design abilities. Therefore, the program developed in this study has a positive effect on enhancing high school students' science-related attitudes and engineering design abilities. These findings imply that the continuous operation and expansion of activities incorporating an engineering design process in science education are necessary as a teaching and learning strategy for cultivating future science talents.

A Research on the Audio Utilization Method for Generating Movie Genre Metadata (영화 장르 메타데이터 생성을 위한 오디오 활용 방법에 대한 연구)

  • Yong, Sung-Jung;Park, Hyo-Gyeong;You, Yeon-Hwi;Moon, Il-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.284-286
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    • 2021
  • With the continuous development of the Internet and digital, platforms are emerging to store large amounts of media data and provide customized services to individuals through online. Companies that provide these services recommend movies that suit their personal tastes to promote media consumption. Each company is doing a lot of research on various algorithms to recommend media that users prefer. Movies are divided into genres such as action, melodrama, horror, and drama, and the film's audio (music, sound effect, voice) is an important production element that makes up the film. In this research, based on movie trailers, we extract audio for each genre, check the commonalities of audio for each genre, distinguish movie genres through supervised learning of artificial intelligence, and propose a utilization method for generating metadata in the future.

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A Library Service Model Toward Ubiquitous City (U-City 구현을 위한 도서관서비스 모델)

  • Chung, Jun-Min
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.20 no.3
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    • pp.163-169
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    • 2009
  • The concept of library is newly interpreted and designed under the environment of U-City. The basic notion of the library should not changed its kernel nevertheless, the new technologies like ubiquitous computing services are applied to the library, which functions in terms of information services, continuous learning programs and communities of practice(CoP). The library is fit for any technologies or environments as organism. Actually the library has been shown in terms of new information technologies with the changes of the times. It leads to comprehend the library as its appearance not as it is. The libraries including even cities have evolved toward ubiquitous(computing) environment. On the other words, the libraries have sought ubiquitous at the past, now they are still chasing it.

A Study on Object Detection and Warning Model for the Prevention of Right Turn Car Accidents (우회전 차량 사고 예방을 위한 객체 탐지 및 경고 모델 연구)

  • Sang-Joon Cho;Seong-uk Shin;Myeong-Jae Noh
    • Journal of Digital Policy
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    • v.2 no.4
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    • pp.33-39
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    • 2023
  • With a continuous occurrence of right-turn traffic accidents at intersections, there is an increasing demand for measures to address these incidents. In response, a technology has been developed to detect the presence of pedestrians through object detection in CCTV footage at right-turn areas and display warning messages on the screen to alert drivers. The YOLO (You Only Look Once) model, a type of object detection model, was employed to assess the performance of object detection. An algorithm was also devised to address misidentification issues and generate warning messages when pedestrians are detected. The accuracy of recognizing pedestrians or objects and outputting warning messages was measured at approximately 82%, suggesting a potential contribution to preventing right-turn accidents

Membrane-Based Direct Air Capture: A Review (막 기반 직접공기포집: 총설)

  • Seong Baek Yang;Kwang-Seop Im;Km Nikita;Sang Yong Nam
    • Applied Chemistry for Engineering
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    • v.35 no.2
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    • pp.85-95
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    • 2024
  • Direct air capture (DAC) technology plays a crucial role in mitigating climate change. Reports from the International Energy Agency and climate change emphasize its significance, aiming to limit global warming to 1.5 ℃ despite continuous carbon emissions. Despite initial costs, DAC technology demonstrates potential for cost reductions through research and development, operational learning, and economies of scale. Recent advancements in high-permeance polymer membranes indicate the potential of membrane-based DAC technology. However, effective separation of CO2 from ambient air requires membranes with high selectivity and permeability to CO2. Current research is focusing on membrane optimization to enhance CO2 capture efficiency. This study underscores the importance of direct air capture, evolving cost trends, and the pivotal role of membrane development in climate change mitigation efforts. Additionally, this research delved into the theoretical background, conditions, composition, advantages, and disadvantages of permeance and selectivity in membrane-based DAC.

An Exploratory Study on the Effects of Mobile Proptech Application Quality Factors on the User Satisfaction, Intention of Continuous Use, and Words-of-Mouth (모바일 부동산중개 애플리케이션의 품질요인이 사용자 만족, 지속적 사용 및 구전의도에 미치는 영향)

  • Jaeyoung Kim;Horim Kim
    • Information Systems Review
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    • v.22 no.3
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    • pp.15-30
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    • 2020
  • In the real estate industry, the latest changes in the Fourth Industrial Revolution, such as big data analytics, machine learning, and VR (virtual reality), combine to bring about industry change. Proptech is a new term combining properties and technology. This study aims to derive and analyze from a comprehensive perspective the quality factors (systems, services, interfaces, information) for mobile real estate brokerage services that are well known and used in the domestic market. The surveys in this study were conducted online and offline and a total of 161 samples were used for statistical analysis. As a result, all hypotheses were approved to except system quality and service quality. The results show that the domestic proptech companies who are mostly focused on real estate brokerage services, peer-to-peer lending, advertising platforms and apartments need to grow in various fields of proptech business of other countries including Europe, USA and China.

Analysis of research trends in the healthcare field utilizing extended-reality-based converged contents (확장현실 기반 융복합 콘텐츠를 활용한 보건의료 분야의 연구 동향 분석)

  • Ji-Eun Im;Ju-Hee Lee;Soon-Ryun Lim;Won-Jae Lee
    • Journal of Korean society of Dental Hygiene
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    • v.24 no.3
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    • pp.197-208
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    • 2024
  • Objectives: Extended reality technology offers an innovative opportunity to enhance self-directed learning through interactive processes in healthcare education. This study aims to analyze research trends in the application of extended reality technology-based educational content in the field of healthcare. Methods: Through literature search, selection, and exclusion processes based on predefined criteria, we conducted an analysis of domestic healthcare studies employing extended reality technology, ultimately selecting and examining 39 relevant publications. Results: The analysis reveals diverse applications of extended reality across various fields such as medicine, dentistry, and nursing. Positive effects, including increased academic satisfaction, immersion, and interest, are observed, alongside challenges like media usage difficulties and cybersickness. Conclusions: Future research should focus on the development and application of extended reality-based educational content in diverse healthcare curricula, emphasizing both educational approaches and continuous technological advancements.