• Title/Summary/Keyword: Competition-Based Learning

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A Comparative Study on FDI Attractiveness Index between Korea and the United States (한·미간 FDI 매력도 비교 연구)

  • Byung-Soo Ahn
    • Korea Trade Review
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    • v.46 no.2
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    • pp.141-160
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    • 2021
  • The scale of global FDI has been decreasing since 2016 due to the ongoing US-China trade dispute, the strengthening of FDI inflow screening regulations with concern over strategic technology leaks, and the spread of reshoring trends due to the reinforcement of national preferences. Eventually, the competition to attract FDI between countries is expected to become more intense. Therefore, in order to attract high-quality FDI for Korea that will contribute to the development of the national economy, it is pressing to evaluate and improve the domestic FDI attraction environment. This study aims to analyze which areas of Korea's economic and non-economic environments need improvement for gaining advantage amid the fierce competition to attract FDI between countries, by the relative comparison between Korea and the U.S., and based on the ranking indicated in key FDI attractiveness indices. As a result, improvement is needed in the following areas. First, according to IMD's "World Competitiveness Ranking 2020," Korea was inferior to the US in terms of business efficiency, productivity, finance and business legislation in terms of government efficiency. Second, according to INSEAD's "Global Talent Competitiveness Index 2020," Korea was inferior to the US in terms of internal openness, external openness, employability, lifelong learning, access to growth opportunity, and business and labor landscapes. Third, according to WEF's "Global Competitiveness Index 2019", Korea was inferior to the US in terms of product market, labor market, business dynamism and workforce skills.

Deep learning based teacher candidate acceptance prediction using college credits and activities (딥 러닝 기반 대학 이수학점 및 활동에 의한 교원임용 후보자 경쟁 시험 합격여부 예측)

  • Kim, Geun-Ho;Kim, Eui-Jeong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.8
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    • pp.917-922
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    • 2019
  • The recent increase in preference for teacher jobs has led to a rise in preference for education colleges. Not all students can enter teachers, but they must pass the test called the competitive examination for teacher appointment candidates after graduation. However, due to the declining population, the and employment T.O.s are decreasing every year and the competition rate is rising steeply. Therefore, in order to concentrate on the recruitment exam upon entering the university, the university is becoming a huge academy for the exam, not a place to study and learn. We found a connection between students' overall school life and their use of study groups as well as their grades and whether they passed the competition test for teachers using deep running. The academic activities did not significantly affect the acceptance process, and the accuracy of the prediction of the acceptance rate was generally 70% accurate.

Airline Service Quality Evaluation Based on Customer Review Using Machine Learning Approach and Sentiment Analysis (머신러닝과 감성분석을 활용한 고객 리뷰 기반 항공 서비스 품질 평가)

  • Jeon, Woojin;Lee, Yebin;Geum, Youngjung
    • The Journal of Society for e-Business Studies
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    • v.26 no.4
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    • pp.15-36
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    • 2021
  • The airline industry faces with significant competition due to the rise of technology innovation and diversified customer needs. Therefore, continuous quality management is essential to gain competitive advantages. For this reason, there have been various studies to measure and manage service quality using customer reviews. However, previous studies have focused on measuring customer satisfaction only, neglecting systematic management between customer expectations and perception based on customer reviews. In response, this study suggests a framework to identify relevant criteria for service quality management, measure the importance, and assess the customer perception based on customer reviews. Machine learning techniques, topic models, and sentiment analysis are used for this study. This study can be used as an important strategic tool for evaluating service quality by identifying important factors for airline customer satisfaction while presenting a framework for identifying each airline's current service level.

Capstone Design Projects based on Invention Education

  • Shim, Joon-Hwan
    • Journal of Engineering Education Research
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    • v.15 no.4
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    • pp.31-34
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    • 2012
  • This paper deals with the introduction of capstone design projects based on invention education in Department of Electronics and Communication Engineering, Korea Maritime University. This course is referred to as Creative Engineering Design for spring semester of 4th-year undergraduates. The course focuses on creative thinking and cooperative mind to students by learning engineering design skills, realizing their idea through design project and recognizing practicality of their systems. To improve creative thinking of students, intellectual property (IP) education is very helpful. If engineering students take training program in IP, it will be very beneficial for CEOs to manage intellectual capital in many industries and to ensure competition power in their business. This study suggested that students take interest in connecting their ideas with inventions through invention education reinforcing an invention and a patent exercise. It is expected that this study may help to develop new curriculum of capstone design project including IP education in many universities.

Understanding of Preparation for Later Life among Baby Boomers: Analysis of Essays from "80,000 Hours Design Competition" (베이비부머의 노후 준비에 대한 이해: "8만 시간 디자인 공모전" 에세이 분석)

  • Ki, Yujin;Chung, Kayoun
    • The Journal of the Korea Contents Association
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    • v.14 no.2
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    • pp.283-293
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    • 2014
  • The purpose of this study is to understand baby boomers' perception of and preparation for later life by analyzing essays from 80,000 hours design competition. The researchers were able to access to 62 baby boomers' essays and used thematic analysis. The results showed that the competition enabled participants to re-conceptualize the meaning of preparation for later life. Three characteristics were derived in the participants' designing their future: 1) life focused on themselves, 2) life in which work, relationship, and leisure are balanced, 3) community life which take social responsibility. All the participants stressed health and learning as key factors in preparing for later life. They also showed almost obsessiveness toward their own effort to be diligent in order to achieve their idealistic later life. Based on the findings, practical implications for preparation for later life among baby boomers are discussed.

Development of Evaluation Method for Competition Intelligence of Sport Talented Children (체육영재의 영재성 평가를 위한 도구 개발)

  • Kim, Kwang-Hoi;Kim, Won-Hyun;Kim, Do-Youn
    • Journal of Digital Convergence
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    • v.13 no.10
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    • pp.579-586
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    • 2015
  • Sport talent development center have been operating in order to support sports gifted children of the training in the early finding and selecting potential elementary school students for sports. For this purpose, elementary students in grades 2~6 are selected through basal fitness and physique test. However qualitative assessment of the student was not in progress, but depending on current physique and fitness totally sports talented children were selected. Therefore this study was to develop a tool to determine giftedness based on the observation method to assess the athletic potential of gifted children based on Yoon's competition intelligence(2011). For this purpose of study, sub-factors were extracted through expert consultations. Based on the extracted sub-factors, such as training intelligence, learning ability practical intelligence were extracted for practical intelligence, and finally 16 evaluation questions were proposed to evaluate sports talented children. Proposed questions will be helpful for quality evaluation of sports gifted children, as well as using as a method for discovering sports gifted children.

Search Re-ranking Through Weighted Deep Learning Model (검색 재순위화를 위한 가중치 반영 딥러닝 학습 모델)

  • Gi-Taek An;Woo-Seok Choi;Jun-Yong Park;Jung-Min Park;Kyung-Soon Lee
    • The Transactions of the Korea Information Processing Society
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    • v.13 no.5
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    • pp.221-226
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    • 2024
  • In information retrieval, queries come in various types, ranging from abstract queries to those containing specific keywords, making it a challenging task to accurately produce results according to user demands. Additionally, search systems must handle queries encompassing various elements such as typos, multilingualism, and codes. Reranking is performed through training suitable documents for queries using DeBERTa, a deep learning model that has shown high performance in recent research. To evaluate the effectiveness of the proposed method, experiments were conducted using the test collection of the Product Search Track at the TREC 2023 international information retrieval evaluation competition. In the comparison of NDCG performance measurements regarding the experimental results, the proposed method showed a 10.48% improvement over BM25, a basic information retrieval model, in terms of search through query error handling, provisional relevance feedback-based product title-based query expansion, and reranking according to query types, achieving a score of 0.7810.

A Multi-Resolution Radial Basis Function Network for Self-Organization, Defuzzification, and Inference in Fuzzy Rule-Based Systems

  • Lee, Suk-Han
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1995.10a
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    • pp.124-140
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    • 1995
  • The merit of fuzzy rule based systems stems from their capability of encoding qualitative knowledge of experts into quantitative rules. Recent advancement in automatic tuning or self-organization of fuzzy rules from experimental data further enhances their power, allowing the integration of the top-down encoding of knowledge with the bottom-up learning of rules. In this paper, methods of self-organizing fuzzy rules and of performing defuzzification and inference is presented based on a multi-resolution radial basis function network. The network learns an arbitrary input-output mapping from sample distribution as the union of hyper-ellipsoidal clusters of various locations, sizes and shapes. The hyper-ellipsoidal clusters, representing fuzzy rules, are self-organized based of global competition in such a way as to ensute uniform mapping errors. The cooperative interpolation among the multiple clusters associated with a mapping allows the network to perform a bidirectional many-to-many mapping, representing a particular from of defuzzification. Finally, an inference engine is constructed for the network to search for an optimal chain of rules or situation transitions under the constraint of transition feasibilities imposed by the learned mapping. Applications of the proposed network to skill acquisition are shown.

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The CVC' Adventurous Investments: The Effects of Industrial Characteristics and Investment Experience on CVC Investments (기업벤처캐피탈의 모험적 투자: 미국 기업벤처캐피탈 투자에 미치는 산업특성과 투자경험의 영향 탐색)

  • Kim, Doyoon;Shin, Dongyoub
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.3
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    • pp.1-12
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    • 2021
  • In this paper, we study empirically examined the adventurous investments in corporate venture capital (CVC) firms' investment in the U.S. based corporate venture capital industry. Unlike existing studies focusing CVC firm's characteristics related to parent corporates and regarding CVC firm as a vehicle of corporate venturing, we identified CVC firm as an independent learning agent to adapt to dynamic environment and investigate their exploration and exploitation in investments based on organizational learning theory. Specifically, we investigate the market-environmental factors affecting CVC's adventurous investment in different sector rather than previously done. First, we examined competition intensity in CVC industry might be related to CVC firm's explorative investments. Second, CVC firm's investment experiences might affect as an inertia to invest on unexperienced sector. Finally, we investigated risk preference effect on CVC firm's venturing investments. The empirical data analyzed in the study contained a total of 85 U.S. based CVC firms and their 2,306 investments from 1996 until 2017. After conducting a GEE regression analysis and a Logit regression analysis, we found the significance and direction of our independent and moderating variables strongly supported all of our four hypotheses in a highly robust manner.

The Development of Problem Solving Oriented Java Programming Online Course Contents (문제해결 중심의 자바프로그래밍 온라인 강의 교안 개발)

  • Lee Sang-Gon
    • Journal of Engineering Education Research
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    • v.5 no.2
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    • pp.10-21
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    • 2002
  • In the knowledge based society, the development of creative human resources is one of the core factors for securing a national competition power. Especially in the software industries, the development of human resources who can solve a problem creatively by applying object oriented programming technique which is a update Programming technology is required. In this paper, we designed a lecture plan and produced it into a course contents which could be run on a online learning system. The teaching focuses of the developed course are the development of problem solving ability and object oriented design and programming ability through Java.