• Title/Summary/Keyword: ICT 교육과정

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A Study on Information Literacy Evaluation Standard for Cyber Teacher (사이버 가정교사의 정보 활용능력 평가기준에 관한 연구)

  • Kim, Chul;Kim, Jeong-Rang;Park, Sun-Ju;Ma, Dai-Sung;Cheong, Eun-Ah
    • Journal of The Korean Association of Information Education
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    • v.13 no.3
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    • pp.383-391
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    • 2009
  • The goal of cyber teaching is to reduce the cost of private lessons, dissipate the educational disparity amongst regions, make classes apt to the given level of every group of students, make up for systematic defects of the public education, and ultimately strengthen its role. This study intends to analyze the capabilities of cyber teachers and clarify their qualifications, as the whole new e-Learning system is about to take root. In this study, the activities of cyber teachers are analyzed and some standards of applicability of cyber teachers, or the so-called ISSCT, are presented. Firstly, the activities are divided into teaching, counselling, process management, development of professionality. Based upon these four activities, nine tasks have been formed and the structure of 22 sub-tasks has been completed. This is the way the standards of applicability of cyber teachers are established in consideration with their activities. Secondly, the standards of information capability of cyber teachers have 53 elements in total, and the aforementioned ISSCT are presented in relation to the ISST, based upon the standards of information capability of cyber teachers.

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Study for Prediction System of Learning Achievements of Cyber University Students using Deep Learning based on Autoencoder (오토인코더에 기반한 딥러닝을 이용한 사이버대학교 학생의 학업 성취도 예측 분석 시스템 연구)

  • Lee, Hyun-Jin
    • Journal of Digital Contents Society
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    • v.19 no.6
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    • pp.1115-1121
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    • 2018
  • In this paper, we have studied a data analysis method by deep learning to predict learning achievements based on accumulated data in cyber university learning management system. By predicting learner's academic achievement, it can be used as a tool to enhance learner's learning and improve the quality of education. In order to improve the accuracy of prediction of learning achievements, the autoencoder based attendance prediction method is developed to improve the prediction performance and deep learning algorithm with ongoing evaluation metrics and predicted attendance are used to predict the final score. In order to verify the prediction results of the proposed method, the final grade was predicted by using the evaluation factor attendance data of the learning process. The experimental result showed that we can predict the learning achievements in the middle of semester.

Necessity to incorporate XR-based Training Contents Focused on Cable pulling using Winches in the Shipbuilding (윈치를 활용한 케이블 포설을 중심으로 고찰한 XR 기반 훈련 콘텐츠 도입의 필요성)

  • JongMin Lee;JongSeong Kim
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.6
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    • pp.53-62
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    • 2023
  • This paper has suggested the necessity of introducing training contents using XR(Extended reality) technology as a way to lower the high rate of nursing accidents among unskilled technical personnel in domestic shipbuilding industry, focusing on cable pulling using winch. The occurrence rate of nursing accidents in the domestic shipbuilding industry was almost double(197.4%) (2017~2020) when compared with other manufacturing industries. In particular, it is worth noting that more than 31.8% of nursing accidents in the shipbuilding industry occurred among workers whose job experience is no more than 6 months. Most of new workers are seen to have hard time due to several factors such as lack of work information, inexperience, and unfamiliarity with the working environments. This indicates that it is essential to incorporate more effective training method that could help new workers become familiar with technical skills as well as working environments in a short period of time. Currently, education/training at the domestic shipyard is biased toward technical skills such as welding, painting, machine installation, and electrical installation. Contrary, even more important training required to get new workers used to the working environment has remained at a superficial level such as explaining ship building processes using 2D drawings. This may be the reason why it is inevitable to repeat similar training at OJT (On-the-Job Training) even at the leading domestic companies. Domestic shipbuilding industries have been attracting a lot of new workers thanks to recent economic recovery, which is very likely to increase the occurrence of disasters. In this paper, the introduction of training using XR technology was proposed, and as a specific example, the process of pulling cables using winches on ships was implemented as XR-based training content by using Unity. Using the developed content, it demonstrated that new workers can experience the actual work process in advance through simulation in a virtual space, thereby becoming more effective training content that can help new workers become familiar with the work environment.

Implementation Strategy of Global Framework for Climate Service through Global Initiatives in AgroMeteorology for Agriculture and Food Security Sector (선도적 농림기상 국제협력을 통한 농업과 식량안보분야 전지구기후 서비스체계 구축 전략)

  • Lee, Byong-Lyol;Rossi, Federica;Motha, Raymond;Stefanski, Robert
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.15 no.2
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    • pp.109-117
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    • 2013
  • The Global Framework on Climate Services (GFCS) will guide the development of climate services that link science-based climate information and predictions with climate-risk management and adaptation to climate change. GFCS structure is made up of 5 pillars; Observations/Monitoring (OBS), Research/ Modeling/ Prediction (RES), Climate Services Information System (CSIS) and User Interface Platform (UIP) which are all supplemented with Capacity Development (CD). Corresponding to each GFCS pillar, the Commission for Agricultural Meteorology (CAgM) has been proposing "Global Initiatives in AgroMeteorology" (GIAM) in order to facilitate GFCS implementation scheme from the perspective of AgroMeteorology - Global AgroMeteorological Outlook System (GAMOS) for OBS, Global AgroMeteorological Pilot Projects (GAMPP) for RES, Global Federation of AgroMeteorological Society (GFAMS) for UIP/RES, WAMIS next phase for CSIS/UIP, and Global Centers of Research and Excellence in AgroMeteorology (GCREAM) for CD, through which next generation experts will be brought up as virtuous cycle for human resource procurements. The World AgroMeteorological Information Service (WAMIS) is a dedicated web server in which agrometeorological bulletins and advisories from members are placed. CAgM is about to extend its service into a Grid portal to share computer resources, information and human resources with user communities as a part of GFCS. To facilitate ICT resources sharing, a specialized or dedicated Data Center or Production Center (DCPC) of WMO Information System for WAMIS is under implementation by Korea Meteorological Administration. CAgM will provide land surface information to support LDAS (Land Data Assimilation System) of next generation Earth System as an information provider. The International Society for Agricultural Meteorology (INSAM) is an Internet market place for agrometeorologists. In an effort to strengthen INSAM as UIP for research community in AgroMeteorology, it was proposed by CAgM to establish Global Federation of AgroMeteorological Society (GFAMS). CAgM will try to encourage the next generation agrometeorological experts through Global Center of Excellence in Research and Education in AgroMeteorology (GCREAM) including graduate programmes under the framework of GENRI as a governing hub of Global Initiatives in AgroMeteorology (GIAM of CAgM). It would be coordinated under the framework of GENRI as a governing hub for all global initiatives such as GFAMS, GAMPP, GAPON including WAMIS II, primarily targeting on GFCS implementations.