• Journal of The Korean Association For Science Education
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• v.15 no.3
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• pp.284-290
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• 1995

This study examined the effects of the learning cycle model by learner's characteristics such as I.Q., cognitive levels, inquiry skins, cognitive style, activity, reflectiveness. To see the effects of the learning cycle model, nonequivalent control group pretest-posttest multiple treatment designs was used in the study. 99 middle school second-graders(female) were divided into two groups. One group was selected as the experimental group (n=50), the other served at the comparison group(n=49). During the eight-month period, the students in the experimental group were instructed according to the learning cycle model, while the students in the comparison group were instructed according to the traditional instruction methods. Achievement data from science achievement test were analyzed by an ANOVA technique. The results of the study are as follows : 1. Science knowledge achievement. For the lower level students of activity, the learning cycle model is superior to the traditional approaches in science knowledge achievement. 2. Science inquiry skills. For the upper level students of I.Q., cognitive levels, inquiry skills, cognitive style and reflectiveness, the learning cycle model is superior to the traditional approaches in science inquiry skills. 3. Attitudes toward science. For the lower level students of I.Q., cognitive levels, inquiry skills, cognitive style, activity and reflectiveness, the learning cycle model is superior to the traditional approaches in attitudes toward science.

• Journal of The Korean Association For Science Education
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• v.28 no.6
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• pp.527-545
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• 2008

This paper suggested a 4E&E Learning Cycle Model using learning motivation for students in science education. The model has been developed on the basis of motivational and instructional design. The 4E&E Learning Cycle Model has four phases such as engage, explore, explain and expand, and two subsidiary phases such as evaluate, and feedback provided with at each phase. The model has gone a process of instruction with learning effects evaluation and providing feedback in science classroom, which facilitate to increase the effectiveness of learning activities. Especially, the 4E&E Learning Cycle Model using motivational learning strategies makes the learners be attractive to and immersed in instruction. This model has potentials in educating students in science education.

• Journal of The Korean Association For Science Education
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• v.28 no.5
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• pp.409-423
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• 2008

Many researches have reported that it is difficult to solve students' difficulties in learning science with teaching models focused on certain aspects because of various reasons. Recently, in science education research, the integrated perceptive has been to put emphasis on understanding complex situations of real teaching and learning. In this research context, the integrated mental model theory that were considered as a whole factor related to learning has been studied by integrating previous studies that related to students' conceptions and learning in various fields. Thus, it is needed that the teaching model be based on the integrated mental model theory to help students to solve their difficulties. The purpose of this research was to develop a new teaching model based on the integrated mental model theory to address this issue. We reviewed current studies on student difficulties and teaching models. After this, we developed 4M learning cycle teaching model. In this paper, we described the process of developing a new teaching model and discussed how to apply this teaching model to the practices. We also discussed the effects of 4M learning cycle teaching model based on the integrated mental model theory in learning science with its implications.

• Journal of Korean Elementary Science Education
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• v.29 no.4
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• pp.567-575
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• 2010

The purpose of this study is to investigate the effectiveness of academic achievements, science process skill and scientific attitude. The subjects of this study were 68 fourth-grade elementary school students who were 33 students for the 5E learning cycle instruction and 35 students for traditional instruction. The control group was taught with traditional teaching method, while the experimental group was taught 'the change to the volume of material due to heat' unit of 4th grade with the developed learning cycle model. The results were as fellows: First, the learning cycle instruction is more effective for understanding of a concept related to the change to the volume of material due to heat. Second, the learning cycle model seems more effective for the expansion of both scientific inquiry ability and scientific attitude.

• Korean Medical Education Review
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• v.10 no.2
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• pp.19-24
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• 2008

Purpose: The 'learning cycle' proposed by Guilbert in 1981 has been accredited as an effective and useful model for curriculum design. Three components of learning cycle, learning objective, instructional method, and assessment are connected organically and form basic structure of curriculum. In this study, we intend to analyze how the learning cycle and its three components are applied to present medical curriculum and examine the points at issue of the learning cycle in medical education. Also, we try to identify the educational significance of the leaning cycle in medical education. Results: First, concerning the learning objective, it was identified that impractical and abstract expressions are major controversial points. Also, there is a need to make learning objectives covering entire medical curriculum. Second, because of various structural problems, it is hard to practice new and various instructional methods. Third, even though there is a growing need for medical curriculum to develop and utilize more various and detailed assessment and evaluation, it was revealed that only are standardized and traditional assessments mainly used. Conclusion: Synthetically, we have some suggestions as follows. First, it is necessary to specify and actualize the learning objectives. Also, instructional methods and assessments should be diversified. And finally, there is a need to build organic and delicate medical curriculum by applying the learning cycle to medical education more actively.

• Korean Journal of Child Studies
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• v.25 no.3
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• pp.1-14
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• 2004

This study focused on the development and application of learning cycle model for promoting children's creativity and problem solving ability. The learning cycle approach consists of four phases : awareness, exploration, investigation, and concept application. The program consists of 20 scientific activities. A total of 70 children participated the 10 week program to examine the effectiveness of this model. The experimental design included a pretest, treatment, and posttest. Results showed that the experimental group children scored significantly higher on the creativity and problem solving tests in the posttest than the control group children.

• Journal of The Korean Association For Science Education
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• v.16 no.1
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• pp.13-34
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• 1996

The purpose of this study is to develop appropriate science teaching models which can be applied effectively to relevant situations. Five science teaching models; cognitive conflict teaching models, generative teaching model, learning cycle teaching model, hypothesis verification teaching model and discovery teaching model, were identified from the existing models. The teaching models were modified and in primary and secondary students using a nonequivalent pretest-posttest control group design. Major findings of this study were as follows: 1. For teaching science concepts, three teaching models were found more effective; cognitive conflict teaching model, generative teaching model and discovery teaching model. 2. For teaching inquiry skills, two teaching models were found more effective; learning cycle teaching model and hypothesis verification teaching model. 3. For teaching scientific attitudes, two teaching models were found more effective; learning cycle teaching models and discovery teaching model. Each teaching model requires specific learning environment. It is strongly suggested that teachers should select a suitable teaching model carefully after evaluating the learning environment including teacher and student variables, learning objectives and curricular materials.

• Journal of Korean Society for Quality Management
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• v.51 no.4
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• pp.573-588
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• 2023

Purpose: This study presents a research approach that utilizes deep reinforcement learning to construct optimal portfolios based on the business cycle for stocks and other assets. The objective is to develop effective investment strategies that adapt to the varying returns of assets in accordance with the business cycle. Methods: In this study, a diverse set of time series data, including stocks, is collected and utilized to train a deep reinforcement learning model. The proposed approach optimizes asset allocation based on the business cycle, particularly by gathering data for different states such as prosperity, recession, depression, and recovery and constructing portfolios optimized for each phase. Results: Experimental results confirm the effectiveness of the proposed deep reinforcement learning-based approach in constructing optimal portfolios tailored to the business cycle. The utility of optimizing portfolio investment strategies for each phase of the business cycle is demonstrated. Conclusion: This paper contributes to the construction of optimal portfolios based on the business cycle using a deep reinforcement learning approach, providing investors with effective investment strategies that simultaneously seek stability and profitability. As a result, investors can adopt stable and profitable investment strategies that adapt to business cycle volatility.

• Korean Medical Education Review
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• v.11 no.1
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• pp.11-20
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• 2009

The purpose of this study was to introduce the concepts of experiential learning and the Kolb's model, and to review some applications of experiential learning theory in graduate medical education. The published literature on GME and education for general practitioners applying the experiential theory and the Kolb's model was reviewed. Experience learning defined the cyclical learning process which emphasizes the learners' reflective thinking of the learners' concrete experiences and their active participation in continuous learning actives. Kolb includes this 'cycle of learning' as a central principle in his experiential learning theory. This is typically expressed as a four-stage cycle of learning. Kolb's cycle moves through concrete experience(CE), reflective observation(RO), abstract conceptualization(AC) and active experimentation(AE). Components of continuing education of the adult learner were based on autonomy, context of learning, and competence and performance as educational objectives. Some strategies for graduate medical education were reflective thinking, self-directed learning, morning reporting and feedback with peer review, etc. Opportunities for learning from experience in practical life can be made to enhance reflective thinking and performance of practitioners. Strategies to develop reflective practice among physicians should be explored by further research.

• Convergence Security Journal
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• v.24 no.2
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• pp.47-53
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• 2024

The traditional personal information life cycle model, primarily tailored to conventional systems, is inherently unsuitable for comprehending the nuances of personal information flow within artificial intelligence frameworks and for formulating effective protective measures. Therefore, this study endeavors to introduce a personal information life cycle model specifically designed for artificial intelligence (AI). This paper presents a personal information life cycle model suitable for artificial intelligence, which includes the stages of collection, retention, learning, use, and destruction/suspension, along with the re-learning process for destruction/suspension. Subsequently, we compare the performance of these existing models (such aspersonal information impact assessment and the ISMS-P model) with the newly proposed model. This underscores the superiority of our proposed model in comprehensively understanding the personal information flow in AI and establishing robust protective measures.