• Journal of radiological science and technology
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• v.47 no.5
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• pp.395-401
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• 2024

This study aimed to develop a self-directed modular teaching-learning model curriculum for the safe operation of mobile X-ray equipment with designed an educational system using ultrasonic sensors and line tracer sensors. We conducted with radiological science students and clinical radiological technologists. they improved performance in reducing errors during mobile X-ray equipment operation and increased learning satisfaction after repeated practice. The average error rate of driving its decreased through repeated training, and learning satisfaction was rated as excellent. The modular teaching-learning model with sensor-based evaluation system contributed to enhancing practical skills in operating mobile X-ray equipment. Our results demonstrated the effectiveness of self-directed learning for mobile X-ray equipment operation and serves as foundational material for developing future educational programs.

• Educational Technology International
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• v.11 no.2
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• pp.105-121
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• 2010

Collaborative learning encourages the use of high-level cognitive strategies, critical thinking, and interpersonal relationships. Despite these advantages, most instructors reveal the difficulties of using project-based collaborative learning; a common problem is the failure of the group to work effectively together. Thus, this study attempted to provide practical advice on group composition with self-regulation. In a college course, 31 groups with 129 students were asked to discuss and prepare the final presentation material and present it together as a collaborative work. All students' self-regulation skills were measured at the beginning of the semester, and the collective self-regulation was computed as an average of the individual scores of each group. The results of regression analysis indicate that the group's collective self-regulation shows a highly significant positive effect on group performance and satisfaction, as self-regulation predicts individual academic performance. The results also show that there is a significant positive relationship between students' self-regulation and participation in group work.

• School Mathematics
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• v.6 no.1
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• pp.37-57
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• 2004

The purpose of this study is to review, through case study, how the use of web materials has influence on the improvement of self-oriented Learning in mathematics of primary school. This is one of the ways to improve classroom lectures suggested in the 7th National Standard of Curriculum. To accomplish this, the following three studies were conducted. First, a questionnaire concerning the improvement of self-oriented Learning Skill through the use of the materials on the web was designed and analyzed. Second, the activities of the class using the web materials were recorded and the study activities of the children were observed. Third, the process of writing notes about their study using web materials was analyzed though interviews after teaching and learning. Through these studies, it has been shown how web materials contribute to the improvement of self-oriented Learning Skill.

• Journal of Korea Multimedia Society
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• v.6 no.7
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• pp.1312-1320
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• 2003

In this paper, we consider a multilayer neural network, with a single hidden layer. Error backpropagation learning method used widely in multilayer neural networks has a possibility of local minima due to the inadequate weights and the insufficient number of hidden nodes. So we propose a fuzzy supervised learning algorithm by using self-generation that self-generates hidden nodes by the compound fuzzy single layer perceptron and modified ART1. From the input layer to hidden layer, a modified ART1 is used to produce nodes. And winner take-all method is adopted to the connection weight adaptation, so that a stored pattern for some pattern gets updated. The proposed method has applied to the student identification card images. In simulation results, the proposed method reduces a possibility of local minima and improves learning speed and paralysis than the conventional error backpropagation learning algorithm.

• Korean Journal of Adult Nursing
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• v.22 no.2
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• pp.221-228
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• 2010

Purpose: The purpose of this study is to identify the relationship among clinical competence of diabetic diet education on standardized patients, self-efficacy, communication skill, learning satisfaction, and professional values of nursing students. Methods: The present study was a descriptive research. The participants were 144 junior nursing students in a university. The clinical competence on diabetic diet education was assessed by trained evaluators when nursing students performed diabetic diet education using the standardized patients. The students' self-efficacy, communication skill, professional values, and learning satisfaction were measured by themselves using the questionnaires. Results: The clinical competence on diabetic diet education showed positive correlations with communication skill and learning satisfaction, while the competence was not correlated to self-efficacy and professional values. Conclusion: The results of this study suggest that clinical competence on diabetic diet education may be more related to communication skills and learning satisfaction than self-efficacy and professional values. Promoting communication skills and learning satisfaction using a standardized patient may increase nursing students' competence on diabetic diet education.

• The Journal of Information Systems
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• v.15 no.2
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• pp.49-75
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• 2006

The main purpose of this study is to identify the factors affecting personnel e-Learning acceptance. We used self-efficacy and perceived playfulness as independent variables to extended Technology Acceptance Model in an e-Learning contort. Perceived playfulness is the one of the important personal intrinsic motivational factors which could enlarge the understanding process of technology acceptance in the personal perspective. Questionnaires were collected from 94 respondents who experienced e-Learning systems that L Corporation provided. This study developed and empirically tested a model representing the relationship by using Structural Equation Model among factors which are: perceived usefulness, perceived ease of use, perceived playfulness, self-efficacy and attitudes. Also we measured affective and cognitive attitude because, most psychometric literature explain attitude has two different dimensions which are affective and cognitive. The major findings of the study are summarized as follows. Firstly, the higher the perceived usefulness the more affected the behavioral intention was to use as well as attitude to be positive. Secondly, as much as perceived playfulness more affected the perceived ease of use as well as self-efficacy. Finally, the perceived ease of use and self-efficacy are not significantly affected attitude while they are affected perceived usefulness and perceived playfulness.

• Journal of Information Technology Applications and Management
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• v.22 no.4
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• pp.1-37
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• 2015

Micro small business start-ups are receiving financial and marketing support from government or public authority, but business closure rate is very high and it causes a hugh burden to households and national economy. This study aims to verify the causal relationship between the self-determination characteristic of small business start-ups and entrepreneurial intention through learning orientation and innovation ability. The man's intrinsic motivation of self-determination theory is expected to have an impact on the entrepreneurial intention of small business start-ups. The self-determination theory includes perceived autonomy, perceived competence, perceived relationship as independent variables. This study presented a research model for explaining the entrepreneurial intention of small business start-ups, and collected 260 survey responses from the small business start-ups In order to validate the proposed research model, PLS analysis is performed with valid 246 questionnaires. By PLS technique, the measurement reliability and validity of research variables are tested and the path analysis is conducted to do the hypothesis test. Path analysis shows that perceived autonomy does not significantly affect the learning orientation and innovation ability. On the other hand, perceived competence significantly influences learning orientation and innovation ability. Perceived relationships had significant influence on learning orientation. It is found that the parameters of learning orientation and innovation ability significantly influence the dependent variable of entrepreneurial intention. Based on the results, a policy and strategy for supporting small business start-up are presented.

• Perspectives in Nursing Science
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• v.9 no.2
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• pp.111-118
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• 2012

Purpose: This study investigated the effects of simulation-based nursing education (for the care of congestive heart failure patients) on self-directed learning competency, clinical knowledge and problem-solving ability among nursing students. Methods: A one-group, pre-post design was utilized with 87 nursing students as the subjects. The scenario of simulation-based nursing education was created using a high-fidelity patient stimulator, and consisted of four states ((1) assessment, (2) reviewing laboratory data and administering medications and treatments, (3) managing increased dyspnea and decreased urine output, and (4) handling the "getting better" state). The simulation-based nursing education included orientation, team-based learning, team-based practice, and debriefing. The data were analyzed using descriptive statistics, Pearson's correlation coefficients and paired t-tests. Results: The scores on the factors for self-directed learning competency (t=-2.57, p= .011), clinical knowledge (t=-6.85, p<.001), and problem-solving ability (t=-3.01, p= .003) increased significantly after the education intervention. Conclusion: Simulation-based nursing education is useful in improving self-directed learning competency, clinical knowledge, and problem-solving ability in nursing students.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.3
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• pp.127-133
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• 2019

Most studies of software fault prediction have been about supervised learning models that use only labeled training data. Although supervised learning usually shows high prediction performance, most development groups do not have sufficient labeled data. Unsupervised learning models that use only unlabeled data for training are difficult to build and show poor performance. Semi-supervised learning models that use both labeled data and unlabeled data can solve these problems. Self-training technique requires the fewest assumptions and constraints among semi-supervised techniques. In this paper, we implemented several models using self-training algorithms and evaluated them using Accuracy and AUC. As a result, YATSI showed the best performance.

• Educational Technology International
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• v.22 no.1
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• pp.57-85
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• 2021

The purpose of this study was to identify learners' perception of teaching activities in online classes that were forcibly switched due to COVID-19, and to compare and analyze differences in importance and performance of online teaching activities according to the level of self-directed learning in university students. To address these goals, 31 university students who took courses operated as online classes at university participated in this study, and the collected data were analyzed according to IPA procedures and methods. As a result, for online teaching activities, class attendance check and encouragement, clarity of class objectives, the ability to deliver the content of learning, and the ability of the instructor to deliver lectures were identified as factors to be constantly emphasized. Depending on the level of self-directed learning, there were significant differences between importance and performance in high level learners' interaction strategy with instructor, interaction strategy with learner, and timely provision of instructor's feedback. On the other hand, there was no significant difference between the importance and performance of online teaching activities for learners with a low level of self-directed learning. Based on these research results, several implications for the design of effective online teaching activities in future university education were proposed.