• Journal of The Korean Association For Science Education
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• v.25 no.7
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• pp.728-735
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• 2005

In this study, relationships between student the cognitive affective characteristics and conceptual understanding from individual computer-assisted instruction were investigated. Tests regarding field dependence-independence, learning strategy, self-regulated ability, visual learning preference, goal orientation, self-efficacy on ability, and computer attitude were administered. After having been taught by means of a CAl program, a conception test on molecular motion was administered. It was found that student conceptual understanding was significantly related to field independence, learning strategy, self-regulated ability among the cognitive characteristics and visual learning preference, goal orientation, self-efficacy on ability among the affective characteristics. Multiple regression analysis of the cognitive characteristics on conceptual understanding found that field dependence-independence was the most significant predictor. Self-regulated ability and a deep learning strategy were also found to have predictive power. Lastly, analysis of the affective characteristics, visual learning preference and self-efficacy on ability exposed them to be significant predictors of student conceptual understanding.

• Journal of Korean Library and Information Science Society
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• v.42 no.2
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• pp.215-236
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• 2011

I studied on the relations of constructivism and school library assisted instruction in this paper. Constructivism is the most important goal of the modern schooling. In constructivism they insist that knowledge is constructed by the learner individually and subjectively. So in constructivism they focus their attention on setting authentic environment of learning for each individual learner. Constructivism was developed into the learner-centered instruction in schooling nowadays. In constructivism the following instructions are very important for achievement its' goal ; problem based learning, project based learning, discussion based learning etc. These instructions are supported commonly by resource based learning. Educational resources are managed in school library totally. School library assisted instruction is the most effective one for resource based learning. And information literacy instruction by teacher librarian relates closely meta cognitive learning of reflections in constructivism. School library assisted instruction is the essential element for the practice of constructivism in schooling.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.9
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• pp.3959-3966
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• 2011

The purpose of this study was to investigate the effect of self-regulated learning ability on English learning achievement. A survey was conducted to the students majoring different fields of study in order to measure their self-regulated learning ability from March 10, 2010 to June 10, 2010. The result indicates a strong correlation between students' English achievement and self-regulated learning factors such as cognitive, affective, and behavior regulation. The results revealed that instructional, and training interventions should be needed to have significant goal-orientation, to maintain motivation, and to have self confidence from On-line and Off-line blended teaching for the successful English learning.

• Educational Technology International
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• v.22 no.2
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• pp.169-197
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• 2021

Learning agility as high potentials is drawing attention as a competency for leading an uncertain future society. The present study aims to determine the factors of learning agility in higher education context for future society. To address this goal, Major factors related to learning agility were derived through literature review and statistically verified. For statistical analysis, the nationwide data were collected from 1,000 undergraduate students in South Korea by National Youth Policy Institute. The participants asked to answer 29 items of learning agility questionnaires (LAQ). The collected data were analyzed by descriptive statistical analysis, exploratory factor analysis, and confirmatory factor analysis. As a result, learning agility items were verified normality and reliability. Learning agility was identified seven factors; challenging mind, learning responsibility, reflecting experience, intellectual curiosity, systemic thinking, change adaptability, and logical thinking. Also, the structural model fit of the seven factors of learning agility was also confirmed to be good. Based on the findings of the present study, empirical, theoretical, and practical contributions were presented, and suggestions for further research were proposed in detail.

• Journal of Industrial Convergence
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• v.21 no.3
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• pp.107-115
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• 2023

This study was conducted to test the effect of flipped learning on academic self-efficacy, achievement goal, cognitive engagement of nursing students. This study used a one group pre-post test design. Participants were 91 students who were taking the health and physical assessment in nursing. The flipped learning was provided for 5 times (10 hours). The data of 91 people who agreed to the study and responded to the pre and post questionnaires were analyzed. Data were collected between September 26 and November 25, 2022. Data were analyzed by frequencies, paired t-test using SPSS WIN 24.0. The results showed that self-efficacy of learning(t=-5.445, p<.001), and cognitive engagement(t=-2.120, p=.035) increased significantly. As a result of the study, it was proved that flipped learning is effective for self-efficacy of learning and cognitive engagement. But it is necessary to conduct repeated studies due to limitations in research design, and to explore ways to utilize various teaching-learning strategies to improve the learning ability and clinical performance of nursing students.

• Journal of the Korean Data and Information Science Society
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• v.14 no.4
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• pp.1083-1090
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• 2003

Web-based learning is currently an active area of research and a considerable number of studies have been conducted on its application in the learning environment. However, in spite of many advances in the research and development of the educational contents, questions about how the environment affects learning remains largely unanswered. In this article, we propose a Web-based learning environment to improve the educational effect. The goal of this article is not to provide a complete system to support Web-based learning but rather to describe some meaningful strategies and fundamental design concepts that utilize information technologies to support teaching and learning.

• Journal of Digital Convergence
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• v.3 no.1
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• pp.27-44
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• 2005

Nowadays, demand for human resource for the e-learning industry is rapidly increasing along with the expansion of e-learning market capacity. However. there are numerous difficulties in expansion and industrialization of e-learning due to insufficient supply of human resources to meet the demand. Therefore, the goal of this study is to present various policy directions that can supplement the supply or e-learning manpower. Overall contents of this study focus on presenting the long-term directions for fostering of human resources for e-learning industry. Among these, role of government policies for fostering of human resources for e-learning industry is being particularly emphasized because e-learning industry is still at its infant stage.

• Journal of National Security and Military Science
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• s.15
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• pp.87-116
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• 2018

This study is a study on applying the teaching-learning theory of education to military school education. For the purpose, the theories of constructivist, cognitive, and behavioral theories of teaching-learning theory are reviewed and applied to military school education. The application of teaching-learning theory to military school education suggested the application of constructivist, cognitive, and behavioral education methods to each core curriculum and OBC curriculum. In addition, Gagne's 9th instructional design model of teaching and learning theory was applied in school education design. Applying the teaching-learning theory of education to military, discussion of situation education is constructivist education method, L&T education is cognitive education method, mastery education is behavioral education method, teaching principle, applicable education method. Based on the teaching-learning theory presented in this study, it is expected that the design of military school education and the application of education method will achieve the goal of more effective military school education.

• International journal of advanced smart convergence
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• v.8 no.2
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• pp.170-182
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• 2019

In this paper, we use scratch to design and develop non-formal learning experiences that are linked with contents of secondary science textbook to educational programs. The goal of this paper is to develop a convenient and interesting program for non-formal learning in a learning environment using various smart device. Theoretical approaches to mobile education, such as smartphones, and smart education support policies continue to lead to various research efforts. Although most of the smart education systems developed for students who have difficulty in academic performance are utilized, they are limited to general students. To solve the problem, the learning environment was implanted by combining the scratch, which is an educational programming that can be easily written. The science education program proposed in this paper shows the result of process of programming using ICT device using scratch programming. In the evaluation stage, we were able to display the creations and evaluate each other, so that we could refine them more by sharing the completed ideas.

• Journal of Information Processing Systems
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• v.17 no.3
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• pp.441-452
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• 2021

Federated learning provides an efficient integrated model for distributed data, allowing the local training of different data. Meanwhile, the goal of multi-task learning is to simultaneously establish models for multiple related tasks, and to obtain the underlying main structure. However, traditional federated multi-task learning models not only have strict requirements for the data distribution, but also demand large amounts of calculation and have slow convergence, which hindered their promotion in many fields. In our work, we apply the rank constraint on weight vectors of the multi-task learning model to adaptively adjust the task's similarity learning, according to the distribution of federal node data. The proposed model has a general framework for solving optimal solutions, which can be used to deal with various data types. Experiments show that our model has achieved the best results in different dataset. Notably, our model can still obtain stable results in datasets with large distribution differences. In addition, compared with traditional federated multi-task learning models, our algorithm is able to converge on a local optimal solution within limited training iterations.