• 문화기술의 융합
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• 제8권2호
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• pp.29-35
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• 2022

본 연구는 미용전문대학생들을 대상으로 셀프리더십과 자기효능감이 학습성과에 영향을 미치는 요인을 규명하기 위함이다. 연구대상은 D지역 미용전문대학에 재학 중인 1, 2학년 남·녀 대학생 115명을 대상으로 2021년 11월 22일부터 12월 1일까지 설문조사를 실시하였고, 그 중 100부를 최종적으로 SPSS.WIN 24.0 프로그램을 이용하였다. 첫째, 미용전문대학생의 셀프리더십이 학습성과에 직접적인 영향을 미치는 것으로 검증되었다. 둘째, 미용전문대학생의 학습성과에 영향을 주는 셀프리더십과 자기효능감이 매우 중요한 영향을 미친다는 것으로 조사되었다. 셋째, 미용전문대학생의 자기효능감이 학습성과에 직접적인 영향을 주어서 유의한 영향관계가 있는 것으로 나타났다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권12호
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• pp.3798-3814
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• 2022

Social recommendation algorithm can alleviate data sparsity and cold start problems in recommendation system by integrated social information. Among them, matrix-based decomposition algorithms are the most widely used and studied. Such algorithms use dot product operations to calculate the similarity between users and items, which ignores user's potential preferences, reduces algorithms' recommendation accuracy. This deficiency can be avoided by a metric learning-based social recommendation algorithm, which learns the distance between user embedding vectors and item embedding vectors instead of vector dot-product operations. However, previous works provide no theoretical explanation for its plausibility. Moreover, most works focus on the indirect impact of social friends on user's preferences, ignoring the direct impact on user's rating preferences, which is the influence of user rating preferences. To solve these problems, this study proposes a user bias drift social recommendation algorithm based on metric learning (BDML). The main work of this paper is as follows: (1) the process of introducing metric learning in the social recommendation scenario is introduced in the form of equations, and explained the reason why metric learning can replace the click operation; (2) a new user bias is constructed to simultaneously model the impact of social relationships on user's ratings preferences and user's preferences; Experimental results on two datasets show that the BDML algorithm proposed in this study has better recommendation accuracy compared with other comparison algorithms, and will be able to guarantee the recommendation effect in a more sparse dataset.

• 유통과학연구
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• 제22권4호
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• pp.1-10
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• 2024

Purpose: This study is aimed to introduce the application of phantom approach with structural equation modelling method for online learning. By integrating these innovative methodologies, the research seeks to advance the understanding of how the phantom approach can effectively complement and augment structural equation modeling techniques. Research design, data and methodology: A theoretical framework of Technology Acceptance Model (TAM) was modified and updated. A questionnaire was developed and used to extract information from 189 instructors who used online learning as their primary medium. The Covariance Based Structural Equation Modelling (CBSEM) was applied to test the direct effects and the phantom approach is used to handle the 2 mediators in the model. Results:social influence, perceived usefulness, and perceived ease of use exerted discernible impacts on instructors' intentionsto engage in online learning. These findings illuminate the intricate dynamics influencing instructor behavior within the realm of online education, underscoring the significance of various factors in shaping their intentions. Conclusions: In additions, the perceived usefulness and perceived ease of use had mediated the effect of social influence and instructor intention using phantom approach. Therefore, one can have concluded that this modified model was also confirmed, thereby reinforcing distribution strategies to online learning and overall education presence.

• International Journal of Safety
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• 제1권1호
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• pp.1-6
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• 2002

It is important to control the high accurate position and force to prevent unexpected accidents by a robot manipulator. Direct-drive robots are suitable to the position and force control with high accuracy, but it is difficult to design a controller because of the system's nonlinearity and link-interactions. This paper is concerned with the study of the stabilization force control of direct-drive robots. The proposed algorithm is consists of the feedback controllers and the neural networks. After the completion of learning, the outputs of feedback controllers are nearly equal to zero, and the neural networks play an important role in the control system. Therefore, the optimum adjustment of control parameters is unnecessary. In other words, the proposed algorithm does not need any knowledge of the controlled system in advance. The effectiveness of the proposed algorithm is demonstrated by the experiment on the force control of a parallelogram link-type robot.

• 무역학회지
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• 제44권5호
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• pp.143-159
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• 2019

This study explores the relationship between outward foreign direct investment (FDI) and innovation in 61 industries of Korea between 1999 and 2016. In order to mitigate the endogeneity problem due to potential reverse causality between FDI and innovation, we use the GMM (generalized method of moments). Our results are as follows. First, FDI has a positive effect on innovation. A possible explanation is that through FDI, multinational companies may assimilate host countries' technologies and knowledge by learning, and then recreating new technologies. Furthermore, this positive effect appears greater, as industrial competition becomes fiercer. This result provides empirical evidence that by recreating technology and knowledge learned through FDI with their own intangible assets, such as patents, they may gain a competitive edge over competitors. Second, this study confirms the greater positive effects of FDI in developed countries, as well as countries with higher technology levels. Finally, strategic asset seeking FDI has the greatest positive impact on innovation in Korean industries. In summary, our findings provide empirical evidence that Korean multinationals can learn technology and knowledge of host countries through FDI to secure a competitive edge in the Korean market.

• 실천공학교육논문지
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• 제14권1호
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• pp.1-10
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• 2022

전자공학교육에서 C 프로그래밍 언어 학습은 컴퓨터 프로그래밍을 이해하고, 임베디드 시스템에서 마이크로프로세서 활용 능력을 습득하기 위한 중요한 기초 교육 과정이다. 기초적 문법과 알고리즘 이해에 중점을 두기 위해, 콘솔 창에서 C 표준 라이브러리 함수에 기반한 프로그램을 작성하며 이론과 실습을 병행해 학습하는 것이 일반적인 교육방법이다. 그렇지만, C 언어의 기본 지식을 어느 정도 습득한 후 프로젝트 활동을 하거나 더 심화된 단계로 나아가고자 한다면, 콘솔창에서 C 표준 라이브러리 함수만을 사용하는 것은 C 프로그램으로 표현하거나 제어할 수 있는 대상을 한정시키게 된다. 학습자가 그래픽 또는 멀티미디어 리소스를 쉽게 활용해 교육적 가치를 높이기 위한 목적으로, 본 논문에서는 공개 소스 소프트웨어인 Simple DirectMedia Layer (SDL)을 활용하는 방안을 C 프로그래밍 언어 학습 과정에 적용한 사례를 연구한다. 콘솔 창에서 수행하는 기초적 프로그래밍 교육과정을 마친 후에 적용된 SDL활용 프로그래밍 교육 과정을 소개하고, 설문 조사를 통해 교육적 가치를 평가한다. 그 결과, 응답자의 56% 이상이 응용능력개선, 흥미유발, 전반적 유용성 측면에서 긍정적 의견을 표명했으며, 부정적 의견은 4% 이하였다.

• 대한화학회지
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• 제43권5호
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• pp.552-563
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• 1999

본 연구에서는 중학생들의 과학 교재를 이용한 학습 방법 및 전략을 조사${\cdot}$분석하였다. 검사도구로 Preferred Method of Study(PMOS)를 사용하였고, 임상 면담법을 실시하였다. 본 연구 결과를 요약하면, 학생들이 교과서 새 단원을 통독하는 횟수와 과학 점수간에는 유의미하고 긍정적인 상관관계가 있었으며, 주제의 유형보다는 시험의 유형에 따라 학습 방법 및 전략을 더 쉽게 바꾸는 경향이 있었다. 대부분의 학생들은 교과서를 학습할 때 좀처럼 요약, 도표, 그림 등과 같은 조직적인 도구를 활용하지 않았고, 한 가지의 학습 방법 및 전략을 선호${\cdot}$사용하였다. 또한 극소수의 학생(1%)만이 선행지식을 교과서 안의 새로운 개념과 연결시키려고 의식적인 노력을 기울였다. 그리고 학생들이 과학 교과를 공부할 때 우선적으로 활용하는 자료로 교과서를 선택하지만 직접적인 학습에 있어서는 참고서와 문제집을 신뢰${\cdot}$이용하는 것으로 조사되었다. 그러므로 학습재로서의 교과서 개발과 효과적인 과학 교육을 위하여, 학습자의 학습 방법 및 전략과 인지심리학, 동기심리학 등의 다양한 영역에 대한 구체적이고 직접적인 연구가 선행되어야 하며, 학생들의 인지 수준의 이해를 통한 교수와 더불어 학생들의 학습 양태(learning style), 학습 방법 및 전략(learning method and strategy)을 파악하여 능동적인 의미구성의 장으로서 교과서의 역활을 극대화시켜야 한다. 그리고 교과서 집필의 기초 자료로서 학생들의 교과서 활용 방안에 대한 다양한 관점의 연구 분석이 요구된다.

• 한국학교수학회논문집
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• 제13권4호
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• pp.499-524
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• 2010

본 본문에서는 학생 스스로 활동을 통해 통계적 개념, 자료 분석력, 문제해결력 등을 기를 수 있는 NIE(Newspaper in Education)을 통한 학습을 초등수학 학습지도에 적용하여, NIE를 활용한 학습이 초등학생의 통계 영역 학업성취에 미치는 효과를 살펴보고, 보다 효율적인 초등수학 학습지도 방안을 찾아보고자 한다.

• 대한수학교육학회지:수학교육학연구
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• 제12권1호
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• pp.71-79
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• 2002

Visualization have strong driving force that enables us to recognize abstract mathematics by direct and specific method in school mathematics. Specially, visual thinking helps in effective problem solution via intuition in mathematics education. So, this paper examines the meaning of visualization, the role of visualization in intuitive problem solving process and the methods for enhancement of intuition using visualization in mathematics education. Visualization is an useful tool for illuminating of intuition in mathematics problem solving. It means that visualization makes us understand easily mathematical concepts, principles and rules in students' cognitive structure. And it makes us experience revelation of anticipatory intuition which finds clues and strategy in problem solving. But, we must know that visualization can have side effect in mathematics learning. So, we have to search for the methods of teaching and learning which can increase students' comprehension about mathematics through visualization and minimize side aspect through visualization.

• 한국학교수학회논문집
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• 제2권1호
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• pp.93-104
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• 1999

The subject of this study was the graph of relation of direct inverse proportion, linear function and quadratic function in the 1st, 2nd and 3rd grade of current middle school mathematics curriculum. GSP materials were developed to simplify the principle, trait and characteristics of graphs and make them easier to understand. The overall aim of the materials is to improve the effectiveness of teaching and learning through the utilization of enhanced students' practice. Additionally, the use of the GSP will be useful in the development of mere effective materials. The effectiveness of the GSP materials will be as followings. 1. The step by step approach of GSP materials through computer interaction will enhance students motivation and interest in mathematics. 2. By presenting the subject matter simply and in a variety of ways, difficult concepts can be understood without the use of complex mathematical calculation. 3. The GSP program is different from CAI and other software programs. It should be used only after learning how to input and output data.