• 제목/요약/키워드: learning management

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The Effect of Learning Strategy, Learning Attitude, Achievement Motivation on Satisfaction of Online Extracurricular Participants (온라인 비교과 프로그램 참여자의 학습전략, 학습태도, 성취동기가 만족도에 미치는 영향)

  • Park Hyejin;Kwon Youngae
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.1
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    • pp.13-21
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    • 2023
  • This study was conducted with students who participated in an online extracurricular after COVID-19 in order to analyze the effects of college students' learning strategy, learning attitude, and achievement motivation on satisfaction. After participating in the online extracurricular, an online survey was conducted, and responses from 163 students were collected. Based on the collected data, the study results were analyzed. The results of the study are as follows. First, learning strategy was found to have a positive effect on satisfaction. These results can be inferred that positive recognition worked in the process of actually applying the learning strategies acquired through the extracurricular to their own learning. Second, learning attitude had a positive effect on satisfaction. The learner's learning attitude to develop necessary skills through experience and the sense of achievement experienced in the process of participating in the online extracurricular had a positive effect on satisfaction. Third, achievement motivation was found to have a positive effect on satisfaction. It can be inferred that the learner's active behavior by participating in the program acts as a motivation for achievement and affects satisfaction. Finally, through this study, a plan for effectively operating extracurricular in an online environment was presented.

A Study on Automatic Classification of Record Text Using Machine Learning (기계학습을 이용한 기록 텍스트 자동분류 사례 연구)

  • Kim, Hae Chan Sol;An, Dae Jin;Yim, Jin Hee;Rieh, Hae-Young
    • Journal of the Korean Society for information Management
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    • v.34 no.4
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    • pp.321-344
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    • 2017
  • Research on automatic classification of records and documents has been conducted for a long time. Recently, artificial intelligence technology has been developed to combine machine learning and deep learning. In this study, we first looked at the process of automatic classification of documents and learning method of artificial intelligence. We also discussed the necessity of applying artificial intelligence technology to records management using various cases of machine learning, especially supervised methods. And we conducted a test to automatically classify the public records of the Seoul metropolitan government into BRM using ETRI's Exobrain, based on supervised machine learning method. Through this, we have drawn up issues to be considered in each step in records management agencies to automatically classify the records into various classification schemes.

A Study on Problem Development of Management subject for BPBL in a Mongolian University. (몽골 대학에서 BPBL을 위한 관리 교과목 문제 개발 연구)

  • Bayarmaa, Natsagdorj;Lee, Keunsoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.6
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    • pp.683-688
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    • 2018
  • In the 21stcentury, teachers must welcome new technology to ensure the best learning in virtual classrooms, aside from the physical classroom. Google Classroom provides a vital chance to promote blended learning and professional development. The purpose of this study is to specify the procedures in problem design when employing blended problem-based learning (BPBL) and to design problems for learning the contents of the subject. The design of problems is crucial for effective BPBL. The underlying theory of BPBL is that learning is most effectively initiated and facilitated by posing and solving real-life problems that interest the learner, because working on such problems makes learning meaningful and motivates students. Ineffective problem-based learning (PBL) could affect students when acquiring sufficient domain knowledge, activating appropriate prior knowledge, and properly directing their own learning. The procedures for designing good problems are composed of the selection of educational content, figuring out the learner's characteristics, finding problems, setting up roles and situations, and writing down problems. Using these procedures, we designed five integration problems covering the contents of management subjects. Planned management subjects based on BPBL in a Mongolian university focuses on the process of designing problems.

Constructionarium: Turning Theory Into Practice

  • Stevens, Julia
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.1220-1220
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    • 2022
  • Constructionarium Ltd is a not-for-profit organisation which delivers a residential, experiential, immersive learning opportunity to university students from across the built environment education sector. Since 2002, the Constructionarium education model has been available to students in engineering, construction management and architecture at a purpose built, 19-acre multi-disciplinary training facility in Bircham Newton, England simulating real site life and reflecting site processes, practices and health and safety requirements. The unique approach of Constructionarium puts experiential learning and sustainability at the heart of everything. In a week, students develop a practical understanding of the construction process, develop transferable skills, build a team and are exposed to the latest in sustainable technologies. Experiential learning is what differentiates a Constructionarium project from regular field trips or site visits. At Constructionarium the focus is on learning by participation rather than learning through theory or watching a demonstration. The projects cannot be replicated in a classroom or on campus. Using the hands-on construction of scaled down versions of iconic structures from around the world, students learn that it requires the involvement of the whole construction team to successfully complete their project. Skills such as communication, planning, budgeting, time management and decision making are woven into a week-long interrelationship with industry professionals, academic mentors and trades workers. Working together to enhance transferable skills brings the educational environment into the reality of completing an actual construction project handled by the students. Constructionarium has used this transformational learning model to educate thousands of students from all over the United Kingdom, Europe and Asia. Texas A&M University in the United States has sent multiple teams of students from its Department of Construction Science every operational year since 2016.

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The Study on the Implementation Approach of MLOps on Federated Learning System (연합학습시스템에서의 MLOps 구현 방안 연구)

  • Hong, Seung-hoo;Lee, KangYoon
    • Journal of Internet Computing and Services
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    • v.23 no.3
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    • pp.97-110
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    • 2022
  • Federated learning is a learning method capable of performing model learning without transmitting learning data. The IoT or healthcare field is sensitive to information leakage as it deals with users' personal information, so a lot of attention should be paid to system design, but when using federated-learning, data does not move from devices where data is collected. Accordingly, many federated-learning implementations have been developed, but detailed research on system design for the development and operation of systems using federated learning is insufficient. This study shows that measures for the life cycle, code version management, model serving, and device monitoring of federated learning are needed to be applied to actual projects and distributed to IoT devices, and we propose a design for a development environment that complements these points. The system proposed in this paper considered uninterrupted model-serving and includes source code and model version management, device state monitoring, and server-client learning schedule management.

A Study of the Union Reading Contents Management Based Knowledge Creating Processes (지식창조프로세스 기반 통합형 독서콘텐츠 관리)

  • 장우권
    • Journal of Korean Library and Information Science Society
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    • v.34 no.4
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    • pp.179-202
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    • 2003
  • Reading is a typical representative knowledge and information activities. It is a put of the presents man and by itself Read-learning is the cognitive and social activities of the creating platonic world. However, in the education training of students become a visible problems of read-learning too many. To solve the problems have to pull off a systematical plan in read activities. This aims to purpose the model of the union reading contents management as the method for the read activity based on the problems analysis of read-learning activity. It is reading contents management as the model knowledge cresting processes.

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Understanding Technology-Enhanced Construction Project Delivery: perspective from expansive learning and adaptive expertise

  • Sackey, Enoch;Kwadzo, Dzifa A.M.
    • Journal of Construction Engineering and Project Management
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    • v.7 no.3
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    • pp.26-38
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    • 2017
  • The architecture, engineering, and construction (AEC) industry is yet to formulate a holistic strategy to realign the evolving technological infrastructures with organisational ambitions and adaptive knowledge of the workforce. This study attempts to create an understanding of the underlying processes adopted by technology-enhanced construction organisations to disseminate and maintain knowledge within the workforce in order to keep pace with the evolving construction technologies. The study adopted expansive learning and adaptive expertise constructs to help better explain workplace learning support structures for organisational effectiveness in a turbulent situation. The two theories were tailored to empirically evaluate three case study construction organisations that have embarked on technology-enabled organisational changes. The study concluded on the creation of a facilitating workplace learning environment to enable the workforce to adapt into and resolve any inherent contradictions and cognitive ambiguities of the changing organisational conditions. This could ensure that novel and conflicting features of the emerging technologies can be adapted across the myriad multi-functional project activities in order to expand the frontiers of the technological capabilities to address the eminent issues confronting the AEC sector.

The Effect of Supply Chain Management on Stakeholder Engagement: Empirical Evidence from Indonesia

  • DARMASTUTI, Ismi;GHOZALI, Imam;DJASTUTI, Indi
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.4
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    • pp.1013-1020
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    • 2021
  • This study examines the role of dynamic socio-emotional capabilities to increase proactive stakeholder engagement in family businesses. The research sample includes all furniture enterprises scattered in Jepara Regency sub-districts as many as 3,945 companies. The sampling in this research is purposive; as many as 210 respondents, 181 could be used. The sampling unit is the owners and managers, considering that most company owners are also company managers. This study examines how learning and supply chain management in the family business can be integrated to enable a set of resources and capabilities provided by the family to be developed to build closer relationships with stakeholders. The findings showed the importance of a family business's supply chain management perspective in the relationship between dynamic socio-emotional capabilities to mediate organizational learning to proactive stakeholder engagement significantly. Based on this study's results, companies can build dynamic socio-emotional capabilities through organizational learning to increase proactive stakeholder engagement. Dynamic socio-emotional capabilities proved to play a role as a mediator for organizational learning by family companies for proactive stakeholder engagement.

Comparative Analysis of Machine Learning Algorithms for Healthy Management of Collaborative Robots (협동로봇의 건전성 관리를 위한 머신러닝 알고리즘의 비교 분석)

  • Kim, Jae-Eun;Jang, Gil-Sang;Lim, KuK-Hwa
    • Journal of the Korea Safety Management & Science
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    • v.23 no.4
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    • pp.93-104
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    • 2021
  • In this paper, we propose a method for diagnosing overload and working load of collaborative robots through performance analysis of machine learning algorithms. To this end, an experiment was conducted to perform pick & place operation while changing the payload weight of a cooperative robot with a payload capacity of 10 kg. In this experiment, motor torque, position, and speed data generated from the robot controller were collected, and as a result of t-test and f-test, different characteristics were found for each weight based on a payload of 10 kg. In addition, to predict overload and working load from the collected data, machine learning algorithms such as Neural Network, Decision Tree, Random Forest, and Gradient Boosting models were used for experiments. As a result of the experiment, the neural network with more than 99.6% of explanatory power showed the best performance in prediction and classification. The practical contribution of the proposed study is that it suggests a method to collect data required for analysis from the robot without attaching additional sensors to the collaborative robot and the usefulness of a machine learning algorithm for diagnosing robot overload and working load.

How the High-Stakes and College Entrance Exam Affects Students' Perception: Implication on Management Policy in Higher Education

  • BAO, Nguyen Van;CHO, Yooncheong
    • East Asian Journal of Business Economics (EAJBE)
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    • v.10 no.1
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    • pp.83-94
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    • 2022
  • Purpose - Vietnam's education system has undergone numerous changes. One of the significant reforms is the college admissions process which all high school seniors are obliged to go through the High School Graduation Examination (HSGE). Despite its significance, there is lack of research to examine the effects of high-stakes and nationally standardized exams on students' learning experiences. By applying the concept of washback, the purpose of this study is to provide a comprehensive qualitative analysis of students' perceptions and learning experiences when preparing for and taking the HSGE. Research design, data, and methodology - 20 high school seniors were participated in this study. This study utilized a stratified sampling methods and randomly selected participants. Result - This study revealed that the washback effect of the HSGE strongly existed in students' learning experiences. This study also found that there is a negative washback effect of the HSGE on students' learning, particularly for those living in rural areas although Vietnamese schools and communities shared unequal educational and socioeconomic resources. Conclusion - The results of this study would be useful for policymakers to provide better assessment system to enhance students' ability and reduce exam pressure. This study also makes suggestions in regard to bringing more formative types of assessment into the high-stakes and nationally standardized exam.