• Title/Summary/Keyword: ICT활용 교육

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The development of Smart Robot Game (스마트 로봇 게임 개발에 관한 연구)

  • Lee, Jun-Suk;Rhee, Dae-Woong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.12
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    • pp.1596-1601
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    • 2019
  • A smart robot game, which is one of the new type expanding the market through coding education classes recently, has a characteristic to manipulate digital games with a smart-phone while using a robot instead of existing games. Under the same rules, the virtual world's game is connected to real world's robot through a smart-phone, and the game is played while exchanging data. This study analyzes smart robot game by dividing them into media features, digital game features, and playful features. In addition, we developed the game based on the board game genre that has the general rules while using the derived development features. As a result, by presenting the case of development of smart robot board game, we would like to propose the points to be considered in the development of smart robot game.

CNN-based Shadow Detection Method using Height map in 3D Virtual City Model (3차원 가상도시 모델에서 높이맵을 이용한 CNN 기반의 그림자 탐지방법)

  • Yoon, Hee Jin;Kim, Ju Wan;Jang, In Sung;Lee, Byung-Dai;Kim, Nam-Gi
    • Journal of Internet Computing and Services
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    • v.20 no.6
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    • pp.55-63
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    • 2019
  • Recently, the use of real-world image data has been increasing to express realistic virtual environments in various application fields such as education, manufacturing, and construction. In particular, with increasing interest in digital twins like smart cities, realistic 3D urban models are being built using real-world images, such as aerial images. However, the captured aerial image includes shadows from the sun, and the 3D city model including the shadows has a problem of distorting and expressing information to the user. Many studies have been conducted to remove the shadow, but it is recognized as a challenging problem that is still difficult to solve. In this paper, we construct a virtual environment dataset including the height map of buildings using 3D spatial information provided by VWorld, and We propose a new shadow detection method using height map and deep learning. According to the experimental results, We can observed that the shadow detection error rate is reduced when using the height map.

Analysis of the scholastic capability of ChatGPT utilizing the Korean College Scholastic Ability Test (대학입시 수능시험을 평가 도구로 적용한 ChatGPT의 학업 능력 분석)

  • WEN HUILIN;Kim Jinhyuk;Han Kyonghee;Kim Shiho
    • Journal of Platform Technology
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    • v.11 no.5
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    • pp.72-83
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    • 2023
  • ChatGPT, commercial launch in late 2022, has shown successful results in various professional exams, including US Bar Exam and the United States Medical Licensing Exam (USMLE), demonstrating its ability to pass qualifying exams in professional domains. However, further experimentation and analysis are required to assess ChatGPT's scholastic capability, such as logical inference and problem-solving skills. This study evaluated ChatGPT's scholastic performance utilizing the Korean College Scholastic Ability Test (KCSAT) subjects, including Korean, English, and Mathematics. The experimental results revealed that ChatGPT achieved a relatively high accuracy rate of 69% in the English exam but relatively lower rates of 34% and 19% in the Korean Language and Mathematics domains, respectively. Through analyzing the results of the Korean language exam, English exams, and TOPIK II, we evaluated ChatGPT's strengths and weaknesses in comprehension and logical inference abilities. Although ChatGPT, as a generative language model, can understand and respond to general Korean, English, and Mathematics problems, it is considered weak in tasks involving higher-level logical inference and complex mathematical problem-solving. This study might provide simple yet accurate and effective evaluation criteria for generative artificial intelligence performance assessment through the analysis of KCSAT scores.

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A Study on AI Adoption Intentions: Focused on Small Businesses (AI의 수용의도에 관한 연구: 중소기업을 중심으로)

  • Chang Woo Kim;Seok Chan Jeong;Sang Lee Cho
    • The Journal of Bigdata
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    • v.9 no.1
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    • pp.169-186
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    • 2024
  • This study aims to analyze the acceptance factors for expanding the adoption of AI by SMEs and draw practical and policy implications. To this, we conducted an empirical analysis of AI acceptance factors among 315 SMEs in various industries such as manufacturing, service, and information and communication sectors located in Korea. Based on the UTAUT, we examined the influence of decision-making reliability, perceived awareness, policy support, education and training, perceived cost, perceived risk, and system complexity, and found that decision-making reliability positively affects performance expectancy and social influence, perceived awareness positively affects performance expectancy and effort expectancy, policy support positively affects social influence and facilitating conditions, and education and training positively affects effort expectancy and facilitating conditions. Perceived cost had a negative effect on social influence and facilitating conditions, and perceived risk had a negative effect on performance expectancy and social influence. System complexity had a negative effect on effort expectancy but no effect on facilitating conditions. These results are expected to be widely utilized as basic research for the diffusion of AI in industry and provide practical and policy implications for promoting the adoption of AI in SMEs.

An Analysis Study on Correlation Between Academic Background and Information Culture Index (학력과 정보문화지수와의 상관관계 분석연구)

  • Bae, Ye-sun;Jun, Woo-chun
    • Journal of Internet Computing and Services
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    • v.17 no.4
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    • pp.127-133
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    • 2016
  • In the present knowledge and information society, every citizen can enjoy benefits of various advanced technologies such as information and communication technology(ICT) and smart technology. Nowadays everybody has to have some level of information literacy and application ability in order to enjoy benefits from various advanced technologies. In additions, knowledge and practice will about information and communication ethics are also required for all. Currently we need some kind of standards to evaluate and model everybody's information literacy and application capability. In this sense, information culture index has been developed to check information literacy and application capability of every citizen for various aspects of daily life. Information culture index consists of three standards, that is, application, awareness, and norm, respectively. Application standard indicates how information contents and skills are generalized for all. In other words, it is concerned with how every citizen can understand information literacy and use information skills in his or her daily life. Awareness standard is concerned with how well everyone can respect and trust others in the current information culture community. Norm standard is concerned with how everyone can use information communication services according to his or her desirable sense of information and communication ethics. The purpose of this paper is to analyze correlation between academic background and three standards of information culture index, that is, application, awareness, and norm. For this purpose, we use 2-year national survey works for information culture. After thorough statistical analysis, we can conclude that, awareness and norm standards do not show a meaningful correlation with academic background while application standard shows a meaningful correlation with academic background, It means that, the higher academic background one has, the higher application standard one can achieve. We expect that our correlation analysis results can be helpful to spread of information education and information culture in the future.

The Development of On-line Self-Test Module using Tracing Method (학습자 트레이싱을 통한 원격 교육용 자가 진단 모듈 개발)

  • Lee, Kyu-Su;Son, Cheol-Su;Park, Hong-Joon;Sim, Hyun;Oh, Jae-Chul
    • The KIPS Transactions:PartA
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    • v.19A no.3
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    • pp.147-154
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    • 2012
  • The higher thinking skills, such as creativity and problem-solving about a given problem, are difficult to assess and diagnose. For an accurate diagnosis of these higher thinking abilities, we need to fully observe learner's problem-solving process or learner's individual reports. However, in an online learning or virtual class environments, evaluation of learner's problem-solving process becomes more difficult to diagnose. The best way to solve this problem is through reporting by tracking learner's actions when he tries to solve a problem. In this study, we developed a module which can evaluate and diagnose student's problem-solving ability by tracking actions in MS-Office suite, which is used by students to solve a given problem. This module performs based on the learner's job history through user tracking. To evaluate the effectiveness of this diagnostic module, we conducted satisfaction survey from students who were preparing the actual MOS exams. As a result, eighty-one (81) of the participants were positive on the effectiveness of the learning system with the use of this module.

Research of Knowledge Worker Productivity Elevation in Knowledge Management Environment : Based on Thought of Peter F. Drucker (지식경영환경에서의 지식근로자 생산성 향상에 관한 연구 : Peter F. Drucker의 사상을 기반으로)

  • Jang, Ki-Jin;Seo, Sang-Cheol
    • The Journal of Society for e-Business Studies
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    • v.13 no.3
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    • pp.153-171
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    • 2008
  • Center of labor power was moved from physical labor to knowledge labor on modern knowledge society comparing with past industrial age, but dramatic result is not appearing in knowledge worker's productivity. "Peter F. Drucker" called "father of modern business management" is essential factor of knowledge labor based on expert, performance, concentration, own administration official, second half of life. And studied about task, reform, autonomy, education, quality, relation of information communication that is knowledge worker's productivity determinant factor. As research result, was expose that relativity is high by performance>concentration>own administration official>expert, second half of life in essential factor of knowledge labor. Specially, all productivity determinants and effect factor were performance by result to knowledge worker. Therefore, knowledge worker can expect formation's target and performance though search and practical use of continuous information are achieved in own field.

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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.

Development of Community-based Digital Health Care (지역사회기반 디지털 헬스케어 발전방향)

  • Han, Jeong-Won
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.12
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    • pp.1826-1831
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    • 2022
  • Rapid Aging Society demands the transformation of medical paradigm of diagnosis and treatment towards prevention and management. This paper explores the norm and development of digital health care, focusing on Busan Metropolitan City. Digital health care which combines new ICT technology and medical technology is predictive, preventive, personalized and participatory; and suggests alternative to solve the problem of demographic changes and increasing social cost of medical welfare. Community Health Center in Busan is unique one based in the minimum community of collecting data from self-leading health management. Digital transformation using basic health data and social information can build preventive care system in the community. Easy access leads community center to test bed of developing new technology, as a living lab. In order to use the newly developed goods and service effectively, user-participatory test is nicessary. Finally community nurse and activists can specify health-welfare converged service through digital transformation empowerment training.

How Does Smart-device Literacy Shape Privacy Concerns: The Moderation of Privacy and the Mediation of Online Social Participation and Information Veracity (스마트기기 활용역량과 프라이버시 우려: 온라인 사회참여 활동과 정보 사실성 판단 능력의 매개효과 및 프라이버시의 조절효과)

  • Hyeon-jeong Kim;Beomsoo Kim
    • Knowledge Management Research
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    • v.24 no.1
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    • pp.51-72
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    • 2023
  • Digital literacy is vital knowledge and ability of an individual in the information society. As the level of digital literacy increases, the interest in privacy protection increases. This change may hinder the use of digital technologies and services. This research examines (1) the mediating effect of online social participation and information veracity on smart device literacy and privacy concerns, and (2) the moderating effect of privacy literacy. Using Korean media panel survey data reported in 2020 and in 2021, this study analyzes the responses of 7,737 people who use smart devices and participate in online activities. SPSS and PROCESS Macro are used to test the research model and hypotheses. In the analysis of 2020 and 2021 survey, this research shows that smart device literacy has major effects on privacy concerns; confirms that the mediating effect of online social participation; moderated meditating effect of privacy literacy. Although information veracity is not significant in 2020, mediating and moderated mediating effects are found in 2021.