• Journal of Information Science Theory and Practice
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• 제10권3호
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• pp.24-39
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• 2022

Online learning is becoming ubiquitous worldwide because of its accessibility anytime and from anywhere. However, it cannot be successfully implemented without understanding constructs that may affect its adoption. Unlike previous literature, this research extends the Unified Theory of Acceptance and Use of Technology with three well-known theories, namely compatibility, online self-efficacy, and knowledge sharing and acquisition to examine online learning adoption. A total of 264 higher education students took part in this research. Partial Least Squares-Structural Equation Modeling was used to evaluate the proposed theoretical model. The findings suggested that performance expectancy and compatibility were significant predictors of behavioral intention, whereas behavioral intention, facilitating conditions, and compatibility had a significant and direct effect on online learning's actual use. The results also showed that knowledge acquisition, knowledge sharing, and online self-efficacy were determinates of performance expectancy. Finally, online self-efficacy was a predictor of effort expectancy. The proposed model achieved a high fit and explained 47.7%, 75.1%, 76.1%, and 71.8% of the variance of effort expectancy, performance expectancy, behavioral intention, and online learning actual use, respectively. This study has many theoretical and practical implications that have been discussed for further research.

• 한국정보시스템학회지:정보시스템연구
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• 제32권4호
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• pp.95-118
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• 2023

Purpose This study employed the Technology Acceptance Model (TAM) to understand students' acceptance of online learning systems. Specifically, this study investigated the factors influencing the behavioral intention of South Korean major university students to use online learning systems for educational purposes in the period when their university life had largely returned to the state it was in before the COVID-19 pandemic. Design/methodology/approach This study examined the impact of four external factors: self-efficacy, personal innovativeness, perceived enjoyment, and system quality, on two TAM constructs: perceived ease of use and perceived usefulness. Additionally, this study explored how perceived ease of use and perceived usefulness affect the behavioral intention to use online learning systems. We conducted an online-based survey using a structured questionnaire. The data collected from the survey were then subjected to Structural Equation Modeling (SEM) analysis to test the study's hypotheses and examine the relationships among the various constructs. Findings The findings reveal that perceived usefulness and ease of use significantly influence students' behavioral intentions to use online learning systems. Furthermore, factors of self-efficacy, perceived enjoyment, and system quality positively affect perceived usefulness and ease of use. Notably, personal innovativeness impacts ease of use but not perceived usefulness.

• 한국학교수학회논문집
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• 제12권3호
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• pp.267-289
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• 2009

학생들은 변수가 등호의 좌변에 있는 일차방정식보다 우변에 있는 일차방정식 문제를 해결하는데 어려움을 겪고 있다. 이러한 어려움을 학생들이 극복할 수 있도록, 기본적인 여러 유형의 일차방정식 문제를 경험할 수 있는 기회를 제공하여야 할 것이다. 그리고 일차방정식의 교수 학습에서 여러 유형의 평가 문항을 구성하여 테스트 한 후에 학생들의 풀이 과정을 면밀히 검토하거나, 개별 면담을 통하여 학생들의 학습상황을 파악하고 이를 토대로 피드백을 통한 오류 교정이 이루어져야 할 필요성이 있다.

• Structural Engineering and Mechanics
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• 제85권3호
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• pp.315-335
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• 2023

Limited studies are available on the mathematical estimates of the compressive strength (CS) of glass fiber-embedded polymer (glass-FRP) compressive elements. The present study has endeavored to estimate the CS of glass-FRP normal strength concrete (NSTC) compression elements (glass-FRP-NSTC) employing two various methodologies; mathematical modeling and artificial neural networks (ANNs). The dataset of 288 glass-FRP-NSTC compression elements was constructed from the various testing investigations available in the literature. Diverse equations for CS of glass-FRP-NSTC compression elements suggested in the previous research studies were evaluated employing the constructed dataset to examine their correctness. A new mathematical equation for the CS of glass-FRP-NSTC compression elements was put forwarded employing the procedures of curve-fitting and general regression in MATLAB. The newly suggested ANN equation was calibrated for various hidden layers and neurons to secure the optimized estimates. The suggested equations reported a good correlation among themselves and presented precise estimates compared with the estimates of the equations available in the literature with R²= 0.769, and R² =0.9702 for the mathematical and ANN equations, respectively. The statistical comparison of diverse factors for the estimates of the projected equations also authenticated their high correctness for apprehending the CS of glass-FRP-NSTC compression elements. A broad parametric examination employing the projected ANN equation was also performed to examine the effect of diverse factors of the glass-FRP-NSTC compression elements.

• 한국정보시스템학회지:정보시스템연구
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• 제18권3호
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• pp.1-25
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• 2009

As many universities introduce e-Learning classes as formal courses, numerous research topics relating to c-Learning such as, defining e-Learning, identifying factors affecting successful e-Learning deployment and examining relationships between the factors in e-Learning classes need to be focused on. However, most researches thai have been undertaken only consider the positive side or right functional dimension. This can result in e-Learning dissemination at universities being overlooked. In accordance with this indispensability, the negative factors, which are potentially inherent in e-Learning learner's perception and affect personnel e-Learning acceptance in university classes need 10 be acknowledged. The purpose of this study was to identify the negative factors affecting personnel e-Learning acceptance and to analyze the interrelation among the factors in this research model. The two independent variables avoidable convenience and reliant convenience, based on pilot test results, and self-efficacy and perceived playfulness, based on the relevant literature, are used to examine the research model. The research problem was tested with data collected from 446 respondents in 12 universities. This study developed and empirically analyzed a model representing the relationship by using the Structural Equation Model. The major findings of this study are, firstly, that the higher reliant convenience is negatively affecting the degree of system use and learner satisfaction, whereas avoidable convenience is only affecting the learner satisfaction. Secondly, the higher self-efficacy and stronger perceived playfulness affects the degree of system use as well as learner satisfaction. Finally, the degree of system use affects the learner satisfaction.

• 기술혁신연구
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• 제12권3호
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• pp.1-24
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• 2004

E-Learning is another way of teaching and learning. E-learning is a networked phenomenon allowing for instant revisions and distribution, and goes beyond training and instruction to the delivery of information and tools to improve performance. The benefits of e-learning are many, including cost-effectiveness, enhanced responsiveness to change, consistency, timely content, flexible accessibility, and providing customer value. The proponents of e-learning stress the importance of using communities of interest to support and enhance the learning process. They also emphasizes that people learn more effectively when they interact and are involved with other people participating in similar endeavors. Although the role of e-learning in higher education has significantly increased, the resistance to new technology by professors and lecturers in university and colleges worldwide remains high. The purpose of this study is to identify the determinants of attitude and planned behavior toward e-learning class in universities. A survey methodology was used to investigate a proposed model of influence, and structural equation modeling was used to analyze the results. The hypothesized model was largely supported by this analysis, and the overall results indicate that attitude toward e-learning systems is mostly influenced by the perceived ease of use as well as the level of perceived usefulness, where both factors are influenced by years of experiences in using cyber system and the technical support level. As in other TAM related research, it can be concluded that the perceived ease of use and perceived usefulness contribute to the future use of e-learning system.

• 방송공학회논문지
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• 제25권2호
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• pp.157-165
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• 2020

본 논문에서는 임베디드 시스템에서의 양자화 기계학습을 수행할 경우 발생하는 양자화 오차를 효과적으로 보상하기 위한 방법론을 제안한다. 경사 도함수(Gradient)를 사용하는 기계학습이나 비선형 신호처리 알고리즘에서 양자화 오차는 경사 도함수의 조기 소산(Early Vanishing Gradient)을 야기하여 전체적인 알고리즘의 성능 하락을 가져온다. 이를 보상하기 위하여 경사 도함수의 최대 성분에 대하여 직교하는 방향의 보상 탐색 벡터를 유도하여 양자화 오차로 인한 성능 하락을 보상하도록 한다. 또한, 기존의 고정 학습률 대신, 내부 순환(Inner Loop) 없는 비선형 최적화 알고리즘에 기반한 적응형 학습률 결정 알고리즘을 제안한다. 실험 결과 제안한 방식의 알고리즘을 로젠블록 함수를 통한 비선형 최적화 문제에 적용할 시 양자화 오차로 인한 성능 하락을 최소화시킬 수 있음을 확인하였다.

• 디지털융복합연구
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• 제15권6호
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• pp.97-105
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• 2017

본 연구에서는 교수의 핵심역량과 대학생의 인지역량 및 생애역량의 구조적 분석을 위해 전국 7개 대학의 대학생 500명을 대상으로 빈도분석, 기술통계분석, 신뢰도 분석, 상관분석과 확인적 요인분석, 구조방정식모형 분석을 실시하였다. 연구결과, 교수의 핵심역량은 대학생의 생애역량에 유의한 영향을 미치는 것을 알 수 있었으며, 교수의 핵심역량은 대학생의 인지역량에 유의한 영향을 미치는 것을 알 수 있었다. 또한 대학생의 인지역량은 생애역량에 유의한 영향을 미치는 것을 알 수 있었으며, 대학생의 인지역량은 교수의 핵심역량과 대학생의 생애역량 사이에서 유의한 매개효과가 있음을 확인할 수 있었다. 이는 교수의 핵심역량이 대학생의 인지역량을 기반으로 생애역량에 더 많은 영향을 준다고 할 수 있다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.196-196
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• 2000

This paper describes a lateral guidance system of an autonomous vehicle, using a neural network model of magneto-resistive sensor and magnetic fields. The model equation was compared with experimental sensing data. We found that the experimental result has a negligible difference from the modeling equation result. We verified that the modeling equation can be used in simulations. As the neural network controller acquires magnetic field values(B$\_$x/, B$\_$y/, B$\_$z/) from the three-axis, the controller outputs a steering angle. The controller uses the back-propagation algorithms of neural network. The learning pattern acquisition was obtained using computer simulation, which is more exact than human driving. The simulation program was developed in order to verify the acquisition of the teaming pattern, teaming itself, and the adequacy of the design controller. The performance of the controller can be verified through simulation. The real autonomous electric vehicle using neural network controller verified good results.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 춘계학술대회
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• pp.216-217
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• 2022

Poisson-Boltzmann은 세포안의 전하의 영향을 기술하는 방정식이며, 생물 등의 분야에서 중요한 역할을 한다. 본 발표에서는 ResNet을 기반으로 한 PBE의 솔루션 예측 방법을 소개 한다. 먼저 FEM을 기반으로 한 방법으로 sample들을 생성한다. 그리고, 세포의 모양과 전하의 위치를 input으로 하고, 전위를 output으로 하는 network를 훈련시킨다.