• The Journal of Korean Association of Computer Education
• /
• v.22 no.2
• /
• pp.39-50
• /
• 2019

We designed and applied team project based learning for effective computer programming education and analyzed the effect on learning effect. Throughout simplified traditional theories and practices, teamed up with random lottery, divided role & responsibility, and conducted problem solving projects in a competitive way for a given task. When after completion of the course, we conducted questionnaires on learners in order to grasp the influence factors on the learning effect. As a result of the structural equation model analysis, it was shown that Team Project had a direct effect on the learning effect. The learning effect based on the relationships among the factors derived through exploratory factor analysis. Based on this analysis, we propose a more effective computer programming education way.

• Journal of information and communication convergence engineering
• /
• v.20 no.3
• /
• pp.181-188
• /
• 2022

An intelligent distributed multi-agent system (IDMS) using reinforcement learning (RL) is a challenging and intricate problem in which single or multiple agent(s) aim to achieve their specific goals (sub-goal and final goal), where they move their states in a complex and cluttered environment. The environment provided by the IDMS provides a cumulative optimal reward for each action based on the policy of the learning process. Most actions involve interacting with a given IDMS environment; therefore, it can provide the following elements: a starting agent state, multiple obstacles, agent goals, and a cluttered index. The reward in the environment is also reflected by RL-based agents, in which agents can move randomly or intelligently to reach their respective goals, to improve the agent learning performance. We extend different cases of intelligent multi-agent systems from our previous works: (a) a proposed environment-clutter-based-index for agent sub-goal selection and analysis of its effect, and (b) a newly proposed RL reward scheme based on the environmental clutter-index to identify and analyze the prerequisites and conditions for improving the overall system.

• Journal of The Korean Association For Science Education
• /
• v.15 no.1
• /
• pp.104-115
• /
• 1995

Teachers' conception about the nature of science is considered to be an important factor to improve the students' conceptions of that. It is assumed that teachers' conception of the nature of science may be influenced by their views of learning. The first purpose of this study was to investigate the exploratory relationships between teachers' conceptions about the nature of science and their views of learning. The second one was to compare the their conceptions and views of learning before and after science education lectures during 1 semester. We administered the questionnaires for the nature of science and for constructivist's learning, respectively, consisted of 5 dimensions (relativism-positivism; inductivism- deductivism; decontextualism-contextualism; content-process; instrumentalism-realism) and of 6 aspects (student; learning; instruction; teacher; curriculum; evaluations) were administered to 57 pre-service elementary teachers (female=44; male=13) before and after lectures. In pre-test it was revealed that respondents had not the consistent conceptions about the nature of science. The conception of relativism was more dominant than those of positivism, deductivism than inductivism, decontextualism than contextualism, process than content and instrumentalism than realism. They had more constructivist views in the respect of process of learning than in other respects, that is, students, instruction, teacher, curriculum and evaluation. But no significant correlations between the dimensions of the nature of science and the aspects of the views of learning suggest that constructivst views of learning was not deeply related with their conceptions of the nature of science. In post-test we had similar results with those of the pre-test, but the process-content dimensions of the nature of science was correlated with the constuctivist views of learning. Therefore we concluded that elementary pre-service teachers had the constructivist views of learning which was isolated with their conceptions of the nature of science although they had science educations course. We need to develop the course to make the conceptions of the nature of science relate view of learning.

• Journal of the Korean Data and Information Science Society
• /
• v.24 no.1
• /
• pp.63-72
• /
• 2013

This study it to verify the validity of Korean version of DELES (distance education learning environment survey) and analyze its relationship with learning achievement and distance education satisfaction. The target population of this study is students of K cyber university and a total of 254 cases are used for the analysis. Exploratory and confirmatory factor analysis is applied to verify 6 factors of DELES and structural equation analysis is applied to examine the relationship between distance education learning environment and learning achievement and distance education satisfaction. The study result shows that DELES is composed of six factors such as instructor support, student interaction & collaboration, personal relevance, authentic learning, active learning and student autonomy and its model fits are appropriate. The result of structural equation analysis shows distance education learning environment significantly influences distance education satisfaction directly as well as indirectly mediated by learning achievement. Learning achievement also significantly influences distance education satisfaction. Conclusions and implications are followed.

• Journal of Digital Convergence
• /
• v.15 no.6
• /
• pp.97-105
• /
• 2017

The subjects were 500 college students in 7 provincial areas for the study on the structural relation among professors' core competency, college students' cognitive learning competency and life competencies. The statistical methods of this study were as follows: frequency analysis, descriptive statistic analysis, exploratory factor analysis, reliability analysis, correlation analysis, confirmatory factor analysis, and structure equation model analysis. The results of the study are as follows. First, the lifelong learning educators' college students recognized core competency significantly affects on the college students' life competencies. Second, the lifelong learning educators' core competency significantly affects on the college students' cognitive learning competency. Third, the college students' cognitive learning competency significantly affects on life competencies. Fourth, the college students' cognitive learning competency has a significant mediating effect between the lifelong learning educators' core competency and the college students' life competencies. In other words, the lifelong learning educators' core competency based on the college students' cognitive learning competency has great effect on life competencies.

• The Mathematical Education
• /
• v.48 no.4
• /
• pp.419-442
• /
• 2009

This study was to find the difficulties students faced in their mathematical learning and to identify the instructional dimensions a teacher provided for the students from multi-cultural background. Since the study was focused on the process of students' learning, the qualitative method was chosen through clinical interviews with 2 students in a total of 11 units which played a role of compensating their learning of mathematics as an extra curriculum. The students solved the computational problems relying on formal procedure without understanding of concepts and principles and solved the word problems based on own interpretation of certain words without semantic comprehension out of math sentences. As the instructional dimensions of teaching mathematics, tasks, a tool and classroom norm were found in the activities they performed. For the tasks, situated tasks, challenging tasks, tasks with lack of conditions, and open-ended exploratory tasks were used. As the tool, pictorial representations were very useful to describe their ideas. Finally, as the classroom norm, consider equity for everyone, and cooperate and encourage each other were found.

• International Journal of Quality Innovation
• /
• v.9 no.2
• /
• pp.11-30
• /
• 2008

The purpose of this study is to develop BSC model of social enterprise. Performance analysis tool of BSC have been brought over from the business world, designed and created from the perspectives of profit-based businesses. The BSC is a strategic performance measurement and management tool designed for the private sector acting as a communication/information and learning system, to measure 'where we are now' and 'where to aim for next'. It prescribes a plan for translating 'vision' and 'strategy' into concrete action across four perspectives at different stages, depending on the business. These perspectives are 'financial', 'customer', 'internal processes' and 'learning and growth', each of which is connected by cause-and-effect relationships that reflect the firm's strategy. Social aims of social enterprise are to accomplish desired outcomes which are to employ vulnerable people and to provide social services. The measurement factors of financial perspective are stable funding, efficiency of budgeting, stakeholders' financial supports, and trade profit. The measurement factors of customer perspective are government, social service users, employees, local communities, sup plier, social activity company, and partnership with external organizations. The measurement factors of internal process perspective are organizational culture, organizational structure/management, internal/external communication, quality of products and services, information sharing. The measurement factors of learning and growth perspective are training and development, management participation, knowledge sharing, leadership of CEO and manager, and learning culture.

• The Journal of Korean Academic Society of Nursing Education
• /
• v.25 no.1
• /
• pp.5-16
• /
• 2019

Purpose: This exploratory study aims to identify various factors influencing the level of nursing professionalism among nursing students. Methods: This study surveyed 246 senior nursing students in U city with a structured self-report questionnaire analyzed with SPSS 22.0. Results: The average scores for clinical practice learning environment, self-leadership, clinical practice belonging, and nursing professionalism were 3.16, 3.77, 3.53, and 3.60, respectively. There were significant differences in nursing professionalism according to the subjects' satisfaction with the nursing major and satisfaction with the amount of nursing. The most significant factors affecting nursing professionalism included clinical practice learning environment (${\beta}=.40$, p<.001), self-leadership (${\beta}=.21$, p=.001), and clinical practice belonging (${\beta}=.16$, p=.011). These variables explained 39% of the total variance in nursing professionalism. Conclusion: Clinical practice learning environment, self-leadership, and clinical practice belonging are factors in the nursing professionalism of senior nursing students. Collaborative efforts by universities and clinics are needed to improve the clinical training environment and to produce good nurses. Particularly since few studies have been conducted in Korea on clinical practice belonging, it is meaningful to explore how clinical practice belonging affects nursing professionalism.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.10a
• /
• pp.453-456
• /
• 2022

The role of the power grid is to ensure stable power supply. It is necessary to take various measures to prepare for unstable situations without notice. After identifying the relationship between features through exploratory data analysis using weather data, a machine learning based energy production prediction model is modeled. In this study, the prediction reliability was increased by extracting the features that affect energy production prediction using principal component analysis and then applying it to the machine learning model. By using the proposed model to predict the production energy for a specific period and compare it with the actual production value at that time, the performance of the energy production prediction applying the principal component analysis was confirmed.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.5
• /
• pp.541-552
• /
• 2022

This research examines the effects of organizational learning and network involvement, as well as many contextual factors, on power generation businesses' innovation capability and operational success in Vietnam. This research also aims to attest to the moderating roles of top management support and company age, and firm possession type in the power generation industry. This study applied the exploratory factor analysis (EFA) and PLS-SEM approach for data analysis. In this research, we have tested hypotheses with data collected from 132 top managers and other key personnel from power generation companies in Vietnam. The results also attest to the moderating role of top management support on the two relationships between organizational learning - innovation capability and network involvement - innovation capability. Another important finding is that the company age has a negative impact on operational performance but shows a positive moderating role in the relationship between innovation capability and operational performance. This study highlights the central roles of organizational learning and innovation capability in impacting the organizational performance of power generation companies. These companies play a key role in supporting the development of industries in practice. This research also emphasizes the moderating roles of top management support and company age and possession type in practice.