• Title/Summary/Keyword: Learning City

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The Impact of Applying Technical Equipment on the Quality of e-Learning at Northern Border University

  • Alenezi, Dr. Ahmed Maajoon
    • International Journal of Computer Science & Network Security
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    • v.22 no.2
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    • pp.261-271
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    • 2022
  • The study aimed to identify the impact of the application of technical equipment for infrastructure to achieve the quality of e-learning for students in the faculties at Northern Border University, in Arar city. The study applied the analytical survey study method. To achieve the study purpose, the researcher prepared a study tool which is a questionnaire to measure the impact o of applying technical instrument for the infrastructure to achieve the quality of e-learning for students. The study sample size reached (218) students from both groups from the university faculties in Arar city. The results of the study revealed a tendency in the study sample's responses to the availability of the majority of the questionnaire criteria significantly. This indicates the positive impact of the application of technical equipment on the infrastructure to achieve the application quality of e-learning at Northern Border University, the study recommended the following: The need to pay attention to measuring the quality of electronic courses every two years in addition to the need to adjust the quality standards of e-content provided through e-learning platforms. Also, there is the gradual application of e-learning at the university in addition to spreading the culture of e-learning quality among all groups of the university community. Also, it is necessary to direct them towards benefiting from the advantages of e-learning that observes quality standards.

A Study on the Analysis of Bus Machine Learning in Changwon City Using VIMS and DTG Data (VIMS와 DTG 데이터를 이용한 창원시 시내버스 머신러닝 분석 연구)

  • Park, Jiyang;Jeong, Jaehwan;Yoon, Jinsu;Kim, Sungchul;Kim, Jiyeon;Lee, Hosang;Ryu, Ikhui;Gwon, Yeongmun
    • Journal of Auto-vehicle Safety Association
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    • v.14 no.1
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    • pp.26-31
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    • 2022
  • Changwon City has the second highest accident rate with 79.6 according to the city bus accident rate. In fact, 250,000 people use the city bus a day in Changwon, The number of accidents is increasing gradually. In addition, a recent fire accident occurred in the engine room of a city bus (CNG) in Changwon, which has gradually expanded the public's anxiety. In the case of business vehicles, the government conducts inspections with a short inspection cycle for the purpose of periodic safety inspections, etc., but it is not in the monitoring stage. In the case of city buses, the operation records are monitored using Digital Tacho Graph (DTG). As such, driving records, methods, etc. are continuously monitored, but inspections are conducted every six months to ascertain the safety and performance of automobiles. It is difficult to identify real-time information on automobile safety. Therefore, in this study, individual automobile management solutions are presented through machine learning techniques of inspection results based on driving records or habits by linking DTG data and Vehicle Inspection Management System (VIMS) data for city buses in Changwon from 2019 to 2020.

A Study on the Improvement of Teaching Mathematics via the Use of the Mathematical History based on the Learning Stages (학습 단계별 수학사 활용 학습을 통한 수학 수업 개선)

  • Lee, Jeong-Jae;Yun, Sang-Hyun;Choo, Shin-Hae;Shim, Soo-Jeong
    • Education of Primary School Mathematics
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    • v.10 no.1 s.19
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    • pp.57-70
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    • 2007
  • This study is aimed at the improvement of the teaching mathematics via the use of the mathematical history based on the learning stages which are understanding the problem, seeking after and solving the problem, application and development, and understanding the homeworks. General questions of this study are as follows according to the purpose of this study: First, we develop materials to use the teaching and learning stages which are understanding the problem, seeking after and solving the problem, application and development, and understanding the homeworks. Second, we search the effective methods for using materials which are developed in this study. Third, we apply materials to the teaching and learning mathematics. To answer the problems, 1 class students of the 4th grade in Gwangju participated in this study. Teaching and learning which uses mathematical history based on the learning stages is performed. The following results were obtained in this research. First, the teaching and learning using materials which is related to mathematical history is effective in improvement of students' mathematical ability. Second, the teaching and learning using material which is related to mathematics history is effective in improvement of students' mathematical attitude. In special, mathematical attitude of students who are involved in learning using materials which is related to mathematical history is more positive than that of general students using traditional teaching methods. Lastly, generalization of newly developed materials should be done to get more development and upgrade.

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A Study on the Regional Learning Program in the lifelong Learning City - Based on an Empirical Case Study of the Geography Exploration Group in Guri, Gyeonggi Province - (평생학습도시의 지역학습 프로그램에 관한 연구 - 경기도 구리시의 지리 탐방대 활동을 중심으로 -)

  • Seo, Jeong-Hoon;Joo, Kyung-Sik
    • Journal of the Korean association of regional geographers
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    • v.16 no.5
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    • pp.572-589
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    • 2010
  • With the advent of lifelong learning society, most of the cities in Korea have been promoting the construction of lifelong learning city. At this point, the purpose of this study is to configure regional learning programs and apply them to the actual world. Important results of this study can be outlined as follows; First, the regional learning programs in the lifelong learning society are desirable to be configurated with the situated learning method focused on the characteristics of learners, instructors and the local contexts. In addition, the active training of regional human resources such as organizing learning circles and SERVICE-LEARNING through the participation of them is effective as a teaching method. Secondly, the consequence through the field excursion calling itself 'the geography exploration group', organized by the researcher and involved with participants together provoked the paradigm shift on their region and the regional identity. Thirdly, the active participation of local experts including geography teachers should be needed for the popularization of geography education. Hence, if we continue to develop the local learning programs tailored to regional traits and apply them to the actual world, geography education will play an important role to build the stable foundation in the lifelong learning society.

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Research Trend on Internet of Things and Smart City Using Keyword Fequency and Centrality Analysis : Focusing on United States, Japan, South Korea (키워드 빈도와 중심성 분석을 이용한 사물인터넷 및 스마트 시티 연구 동향: 미국·일본·한국을 중심으로)

  • Lee, Taekkyeun
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.18 no.3
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    • pp.9-23
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    • 2022
  • This study aims to examine research trends on the Internet of Things and smart city based on papers from the United States, Japan, and Korea. We collected 7113 papers related to the Internet of Things and smart city published from 2016 to 2021 in Elsevier's Scopus. Keyword frequency and centrality analysis were performed based on the abstracts of the collected papers. We found keywords with high frequency of appearance by calculating keyword frequency and identified central research keywords through the centrality analysis by country. As a result of the analysis, research on security, machine learning, and edge computing related to the Internet of Things and smart city were the most central and highly mediating research conducted in each country. As an implication, studies related to deep learning, cybersecurity, and edge computing in Korea have lower degree centrality and betweenness centrality compared to the United States and Japan. To solve the problem it is necessary to combine these studies with various fields. The future research direction is to analyze research trends on the Internet of Things and smart city in various regions such as Europe and China.

The Link between Organizational Learning Capability and Quality Culture for Total Quality Management: A Case Study in Vocational Education

  • Lam Victor MY;Poon Gary KK;Chin KS
    • International Journal of Quality Innovation
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    • v.7 no.1
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    • pp.195-205
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    • 2006
  • Both the total quality management (TQM) and learning organization (LO) appear to be promising approaches for organizational transformation towards a more effective, efficient, and responsive organization in the past. The evolutionary development and theory supports for these two fields are distinct but they appear to have more in common than they have in distinctiveness. However, there is little synergy developed between these two fields both in academic research and industrial applications. It is possibly due to the fact that both the academia and industry are taking a limiting polarized view of TQM and LO and hence not getting the benefits of linking the two. This paper tries to establish a link between the organizational learning capability and the quality culture for TQM implementation based on a case study on the largest vocational education institution, the Vocational Training Council, of Hong Kong. The study reveals that there is a strong positive correlation between organizational learning capability and quality culture. The exploratory explanations for the links between the organizational learning capability constructs and the quality culture constructs are also discussed in this paper. The findings of the study support other literatures that TQM should be embedded in LO and serves as an enabler for organizational learning (OL) in transforming and creating organizations which continuously expand their abilities to change and shape their future.

Digital Twin and Visual Object Tracking using Deep Reinforcement Learning (심층 강화학습을 이용한 디지털트윈 및 시각적 객체 추적)

  • Park, Jin Hyeok;Farkhodov, Khurshedjon;Choi, Piljoo;Lee, Suk-Hwan;Kwon, Ki-Ryong
    • Journal of Korea Multimedia Society
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    • v.25 no.2
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    • pp.145-156
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    • 2022
  • Nowadays, the complexity of object tracking models among hardware applications has become a more in-demand duty to complete in various indeterminable environment tracking situations with multifunctional algorithm skills. In this paper, we propose a virtual city environment using AirSim (Aerial Informatics and Robotics Simulation - AirSim, CityEnvironment) and use the DQN (Deep Q-Learning) model of deep reinforcement learning model in the virtual environment. The proposed object tracking DQN network observes the environment using a deep reinforcement learning model that receives continuous images taken by a virtual environment simulation system as input to control the operation of a virtual drone. The deep reinforcement learning model is pre-trained using various existing continuous image sets. Since the existing various continuous image sets are image data of real environments and objects, it is implemented in 3D to track virtual environments and moving objects in them.

A Study on Nursing Students' Self-leadership and Their Perception of Learning (간호대학생의 셀프리더십과 학습인식)

  • Lee, Mi Ok;Lee, Mi Young;Kim, Se Young
    • The Journal of Korean Academic Society of Nursing Education
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    • v.21 no.3
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    • pp.417-425
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    • 2015
  • Purpose: The purpose of this study was to identify the relationship between self-leadership and the perception of learning in nursing students. Methods: A descriptive research design was used in this study. The participants were 378 nursing students in M city and C city who were surveyed between June 1 and June 30, 2014 using self-report questionnaires. The data was analyzed using SPSS WIN 21.0 Program, which determined frequency, percentage, mean, standard deviation; a One-way ANOVA; a $Scheff{\acute{e}}$ test; a Pearson correlation coefficient; and a Stepwise multiple regression analysis. Results: There were significant positive correlations between nursing students' self-leadership and their perception of learning. In the multiple regression analysis, self-leadership was the most significant predictor in explaining nursing students' perception of learning. Conclusion: Study findings suggest that nursing students' self-leadership is defined as having an important influence on nursing students' perception of learning. In order to strengthen nursing students' self-leadership, there is a need to develop education programs that increase nursing students' self-leadership.

Smart Learning for National Technical Qualifications ARCS Motivation Theory is Interactive, Immersive Learning, Research Influence of Continuous use with Pleasure (국가기술자격증을 위한 스마트러닝 ARCS 동기이론이 상호작용성, 학습몰입, 즐거움을 통해 지속적 사용의도에 미치는 영향 연구)

  • Park, Dong Cheul;Hwang, Chan Gyu;Kwon, Do Soon
    • Information Systems Review
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    • v.17 no.2
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    • pp.101-132
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    • 2015
  • National technical qualifications to enhance an individual's vocational skills, the competitiveness of companies and countries have an important function to improve. Especially 'qualifications' will have a signal function to show objectively measure an individual's ability with the 'Education' The "knowledge necessary for the performance of their duties. Technology will gain knowledge about such assessment or recognition is based on certain criteria and procedures." Learning to qualify are being made through a smart learning a lot. Due to the revolution of the Internet in recent years with the development of information and communication technologies are entering into a knowledge society, the importance of information and knowledge. This contemporary smart learning education system is continuing to rapidly growing in pace with the changing time and space constraints, without teaching and learning is taking place. The purpose of this study is the ARCS motivation theory can determine a representative theory of human motivation factors and basic psychological needs dealing with the human nature of the psychological needs Interactivity and immersive learning, and to validate the empirical causality Affecting the continued use of smart learning through fun. Specifically, attention, relevance, confidence in the ARCS motivation, see their effect on the learning flow through the satisfaction we analyze empirically. Through this national technical qualifications smart learner's learning by supporting the implicit synchronization of students in learning are the degree of continued use. Therefore, to achieve the objectives of national technical qualifications and skills through a smart learning can contribute to the activation of the development and certification of course industry.

Research on Characterizing Urban Color Analysis based on Tourists-Shared Photos and Machine Learning - Focused on Dali City, China - (관광객 공유한 사진 및 머신 러닝을 활용한 도시 색채 특성 분석 연구 - 중국 대리시를 대상으로 -)

  • Yin, Xiaoyan;Jung, Taeyeol
    • Journal of the Korean Institute of Landscape Architecture
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    • v.52 no.2
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    • pp.39-50
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    • 2024
  • Color is an essential visual element that has a significant impact on the formation of a city's image and people's perceptions. Quantitative analysis of color in urban environments is a complex process that has been difficult to implement in the past. However, with recent rapid advances in Machine Learning, it has become possible to analyze city colors using photos shared by tourists. This study selected Dali City, a popular tourist destination in China, as a case study. Photos of Dali City shared by tourists were collected, and a method to measure large-scale city colors was explored by combining machine learning techniques. Specifically, the DeepLabv3+ model was first applied to perform a semantic segmentation of tourist sharing photos based on the ADE20k dataset, thereby separating artificial elements in the photos. Next, the K-means clustering algorithm was used to extract colors from the artificial elements in Dali City, and an adjacency matrix was constructed to analyze the correlations between the dominant colors. The research results indicate that the main color of the artificial elements in Dali City has the highest percentage of orange-grey. Furthermore, gray tones are often used in combination with other colors. The results indicated that local ethnic and Buddhist cultures influence the color characteristics of artificial elements in Dali City. This research provides a new method of color analysis, and the results not only help Dali City to shape an urban color image that meets the expectations of tourists but also provide reference materials for future urban color planning in Dali City.