• Journal of Physiology & Pathology in Korean Medicine
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• v.26 no.3
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• pp.351-359
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• 2012

This study aims to evaluate the student satisfaction of problem-based learning(PBL) in Korean medical curriculum. A questionnaire was given to clinical clerkship students of Pusan National University School of Korean medicine. These items covered overall evaluation of module & learning environment, tutoring, individual learning, group learning and effectiveness for clinical clerkship in PBL. By most of all respondents, PBL was recognized as a more effective learning method. Most respondents were satisfied with the group learning, individual learning and effectiveness for clinical clerkship. However, satisfaction was lower for tutors and module. The results of this study demonstrated that the students had a high level of satisfaction in PBL. It might be concluded that PBL was successfully implemented into the Korean medical curriculum.

• Journal of the Korea Society of Computer and Information
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• v.13 no.1
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• pp.243-251
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• 2008

The cyber classes of an e-Learning system have been considered as one of the important form of education. Especially. some of non-major(liberal arts and science) and major subjects are held in cyber classes. However, there is no or little study of effectiveness and function for the students' position. In this study, we analyzed log files in the e-learning system. and classified login and learning hour patterns of students. who were enrolled in the cyber classes. into hourly pattern in a day, daily pattern in a week, and weekly pattern in a semester. We proposed general ideas to improve effectiveness and function of current e-learning. Over 50% of logins were for less than 30 minutes learning and there is wasteful use of e-learning system resources.

• Journal of the Korea Society of Computer and Information
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• v.12 no.5
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• pp.171-177
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• 2007

The cyber classes of an e-Learning system have been considered as one of the important form of education. However, there is no or little study of effectiveness and function for the students' position. In this study, I analyzed log files in the e-learning system, and classified login and teaming hour patterns of students, who were enrolled in the undergraduate courses of the university, into hourly pattern in a daily pattern in a week, weekly pattern in a semester. I proposed general ideas to improve effectiveness and function of current e-learning. Over 50% of logins were for less than 30minutes learning and there is wasteful use of e-learning system resources.

• Educational Technology International
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• v.7 no.1
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• pp.59-79
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• 2006

The purpose of this study is to measure the impact of motivation on academic achievement and satisfaction of adult learners in an e-Learning environment, and to come up with strategies to improve the effectiveness of e-Learning for adult learners. In order to find answer, devices were developed, tested for validity and reliability, and use for testing variables for 289 adult learners. To measure the impact of achievement motivation on learning in job training, a multiple regression analysis was performed. The analysis results show that achievement motivation has an impact on academic achievement with significance level .001, but does not have an impact on a learner's satisfaction. Further analyses on the subcategories of achievement motivation show that individual-oriented motivation affects achievement with significance level of .001, while social-oriented motivation does not. From this finding, some strategies to boost individual-oriented motivation are suggested to enhance effectiveness of job training in e-Learning environment. Further strategies to boost individual-oriented motivation should be developed by studying various aspects of e-Learning such as learning environments, learning culture, learning modes and methods, and evaluation.

• Asia pacific journal of information systems
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• v.31 no.1
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• pp.43-75
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• 2021

Clearly, the smartphone is increasingly playing a greater role in everyday life, thus providing opportunities to evaluate how well the use of the smartphone meets the requirements of undergraduate students in independent learning outside of a classroom setting. This study used the task-technology fit (TTF) model to explore the effectiveness of smartphone usage to interact with learning materials in independent learning outside of classrooms, the need for smartphone support, and the fit of devices to tasks as well as performance. First, the study used interviews, observation, and survey data to identify what are the most important constructs of smartphones that stimulate students to interact with learning materials in independent learning outside of classrooms. Based on the findings from the exploratory study and Task Technology Fit theory, we postulated the Navigation design, Ergonomic design, Content support, and Capacity as the essential dimension of the smartphone construct. Then, we proposed a research model and empirically tested hypotheses with the structural model analysis. The results reveal a significant positive impact of task and technology on TTF for smartphone usage to interact with learning materials in independent learning outside of classrooms; it also confirmed the TTF and performance have a direct effect on actual use.

• Journal of the Korean School Mathematics Society
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• v.4 no.2
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• pp.93-102
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• 2001

All men′s achievement and behavior is always based on motivation. It has been reported that learning motivation plays an important role to get the achievement of study to approximately 16 ~ 38%. Therefore, a lot of researchers agree that learning motivation must be required for learning achievement. This study focuses on "How behavior induces learning motivation from learners\ulcorner" I adapted "the Attention, Relevance, Confidence, Satisfaction" which is supported by John. M. Keller in the model of ARCS to the course of teaching-learning in order to improve them systematically. The effectiveness and results of adaptation must be considered to solve the math problems.

• Journal of The Korean Association For Science Education
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• v.11 no.1
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• pp.15-24
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• 1991

The purpose of this study was to investigate the effectiveness of Learning Cycle approach to change the concept of density. The results of the study were as follows : 1) Students already had various types of preconception related to density before formal learning. These preconceptions mostly differ from scientific concepts. 2) Male students were much better than female ones in the development of scientific concepts before formal learning. These differences were found statistically significant(P<0.01). 3) The higher the cognitive level of the students, the better the development of scientific concepts. 4) In the change of preconceptions to scientific concepts by treatment, there was significant difference between control group and experimental group at the 0.05 level. It was found that Learning Cycle approaches were more effective than traditional approaches in acquiring the concept of density. 5) It was found that there was no significant difference On the retention level of the concept of density between control group and experimental group.

• Journal of the Korea Institute of Military Science and Technology
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• v.26 no.5
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• pp.392-399
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• 2023

This research paper investigates the effectiveness of using computer graphics(CG) based synthetic data for deep learning in military vehicle detection. In particular, we explore the use of synthetic image generation techniques to train deep neural networks for object detection tasks. Our approach involves the generation of a large dataset of synthetic images of military vehicles, which is then used to train a deep learning model. The resulting model is then evaluated on real-world images to measure its effectiveness. Our experimental results show that synthetic training data alone can achieve effective results in object detection. Our findings demonstrate the potential of CG-based synthetic data for deep learning and suggest its value as a tool for training models in a variety of applications, including military vehicle detection.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.1573-1576
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• 1997

In this paper we present an associative menory network(AMN) controller for learning of robot trajectories. We use AMN controller in order to improve the performance of conventional learning control, e.g. RCL, which had studied by Sadegh et al. Computer simulations show the feasibility and effectiveness of the proposed AMN controller.

• The KIPS Transactions:PartA
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• v.16A no.5
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• pp.395-402
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• 2009

Since 2005, Cyber home learning systems(CHLS) have been run with the purpose of clearing up the regional disparity and reducing the private education cost. At this point, it is necessary to have the analysis on the satisfaction and effectiveness awareness of the CHLS. The goal of this paper is to suggest an evaluation model for satisfaction and pedagogical effectiveness of CHLS and to support the management of satisfaction and effectiveness awareness of the CHLS for the low-income bracket children. Our major contributions can be summarized as follows: First, we present an evaluation model of satisfaction and effectiveness awareness of the CHLS for the low-income bracket children. Second, we survey the satisfaction, effectiveness awareness and improvement facts from the students who divided according to their sex, residence area and classes and compare with suggesting evaluation models. This paper is to find the measurement of the satisfaction and effectiveness awareness of the CHLS for the low-income bracket children. Furthermore, we can use this model as a material to balance the education opportunity, which is the purpose of CHLS, and abolish the education differentials.