• Educational Technology International
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• v.14 no.1
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• pp.27-40
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• 2013

Design-Based Research (DBR) focuses on developing key principles of interventions to advance both theory and practicalities of dissemination (Brown, 1992), yet its methodological details have not been quite established. Thus, the purpose of this paper is to address the pragmatics of DBR by sharing the researcher's reflections on conducting a longitudinal DBR project for five years. In an attempt to advance college teaching practices as well as theories related to student plagiarism, the project focused on refining "humble" theories on how and why college students engage in plagiarism to design classroom interventions for promoting academic integrity. Similar to the Integrative Learning Design (ILD) framework proposed by Bannan-Ritland (2003), but conducted in a much simpler and less formal format, this study followed DBR cycles from initial conceptualization to design and enact instructional interventions in authentic contexts while collecting both quantitative and qualitative data from each phase. Finally, the paper addresses some challenges encountered throughout the DBR project as well as the lessons learned from this experience. Like many previous DBR studies whose practical relevance is limited to local context, the findings from this study may not be easily generalized for other contexts.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.9
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• pp.249-261
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• 2022

Globally, COVID-19 has significantly impacted many different organizations and people. From the banks' perspective, this pandemic has affected banks' corporate and retail customers. Also, banks had to adjust to distributed workforce model. This paper analyses the lessons learned from the COVID-19 pandemic, which can be effectively used to rebuild banks' Operational Risk Management capabilities. The present study used the survey research methodology, which includes structured questionnaires completed by senior banking professionals to analyze the learnings from COVID-19 and understand the distributed workforce model and remote working effectiveness. Findings: The Pandemic accelerated the pace of digital transformation. The lockdown imposed due to the pandemic led to employees working remotely, which has been effective because of enhanced digital capabilities. However, enhanced monitoring is required to prevent data-related issues, and action needs to be taken to address challenges faced in having a remote distributed workforce model, like negative impact on on-the-job learning, data-related risks, and employee wellbeing. COVID-19 is an unprecedented event that could not have been predicted in any scenario analysis. This crisis has highlighted various systemic drawbacks that need to be addressed. Banks can apply the lesson learned from this Pandemic to become more robust in the future.

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2009.11a
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• pp.59-60
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• 2009

• Proceedings of the Korean Nuclear Society Conference
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• 2005.10a
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• pp.157-158
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• 2005

• Proceedings of the KOR-KST Conference
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• 1998.09a
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• pp.204-211
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• 1998

This paper reviewed the East Asia financial crisis, how China reacts to its impact, and what lessons should be learned from the crisis.

• Korean Journal of Acupuncture
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• v.39 no.3
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• pp.97-99
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• 2022

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.511-514
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• 2002

Nowadays, domestic construction companies make an effort to share knowledge and experience accumulated while conducting a project. One way of improving knowledge sharing is to develop specifications which are linked to the expert's knowledge and experience based on the specification classification. Therefore, the purpose of this paper is to review the current domestic specification system and develop the specification linked to the construction lessons learned database. It is expected that the proposed specification system will support the decision making process by effectively providing the knowledge and solution.

• Convergence Security Journal
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• v.21 no.2
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• pp.67-79
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• 2021

Lessons Learned(LL) is a military term defined as all activities that promote future development by finding problems and need improvement in education and reality in the field of warfare development. In this paper, we focus on presenting actual examples and applying AI analysis inference techniques to solve revealed problems in promoting LL activities, such as long-term analysis, budget problems, and necessary expertise. AI legal advice services using cognitive computing-related technologies that have already been practical and in use, were judged to be the best examples to solve the problems of LL. This paper presents intelligent LL inference techniques, which utilize AI. To this end, we want to explore theoretical backgrounds such as LL analysis definitions and examples, evolution of AI into Machine Learning, cognitive computing, and apply it to new technologies in the defense sector using the newly proposed L²-OODA ensemble algorithm to contribute to implementing existing power improvement and optimization.

• Research in Mathematical Education
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• v.9 no.3 s.23
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• pp.203-231
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• 2005

Students in East Asia have consistently out-performed their counterparts in the West in recent international studies of mathematics achievement. But some studies also show that East Asian students are more rigid in thought, and lack originality and creativity. While different theories have been proposed to account for these student performances, relatively few research studies have been done on classroom practices, potentially a major variable for explaining student performances. This paper will report on the results of two classroom studies: the TIMSS 1999 Video Study and the Learners' Perspective Study (LPS). Results the quantitative analysis of the TlMSS 1999 Video Study data show that the East Asian classrooms were dominated by teacher talk, and the mathematics content learned was abstract and unrelated to the real life. On the other hand, the characteristics of the instructional practices in Hong Kong as judged by an expert panel are that student learned relatively advanced mathematics content; the components of the lessons were more coherent, and the presentation of the lessons was more fully developed. Hong Kong students seemed to be more engaged in the mathematics lessons, and the. overall quality of the lessons was judged to be high. Results of the analysis of the LPS data also show that the classrooms in the East Asian city of Seoul were in general teacher dominated, but students were usually actively engaged in the mathematics learning. Emphasis on exploration of mathematics and practicing exercises with variation was common. It is argued that the quality teaching in the East Asian classrooms laid a firm foundation in mathematics for students, and that constitutes a necessary condition for the development of students' creativity. In order to fully develop the creativity of East Asian students, they need to be given the right environment and encouragement.

• Human Ecology Research
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• v.62 no.1
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• pp.81-100
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• 2024

This paper presents a case study in which a lesson was designed and applied to enhance preservice home economics teachers' instructional design competence using the metaverse. For 15 weeks from March 6 to June 14, 14 students enrolled on the course 'Multimedia Home Economics Education' for preservice home economics teachers used the metaverse to engage in problem-based learning to solve instructional design problems in home economics classes. In accordance with the ADDIE design model, in the analysis stage, we assessed preservice home economics teachers' level of knowledge of lessons using the metaverse, and their perceptions of the possibility, necessity, and usefulness of using the metaverse in home economics lessons. In the design and development stage, lesson plans, questions for problem-based learning, assessment tools, and teaching and learning materials were developed. The implementation was conducted in parallel with training on understanding multimedia and the metaverse, and instructional design competence was evaluated through pre- and post-testing and reflection journals. The results revealed that the preservice home economics teachers acquired a good understanding of lessons using the metaverse, learned how to design lessons for self-directed learning by applying the metaverse to their home and classroom, and gained confidence in applying it to their teaching practice or in-service work. It is expected that the results of this study will be used as support materials for prospective and current home economics teachers to design home economics lessons using the metaverse, thereby expanding the horizons of home economics education.