• The Journal of Korean Academic Society of Nursing Education
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• v.11 no.1
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• pp.98-106
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• 2005

The study to identify the relationship among stress associated with clinical experience, coping strategies and self-esteem in nursing students and to provide basic information which is useful for nursing students' learning experience in clinical setting were surveyed using self-reported questionnaires. The findings were summarized : 1. Senior students showed a higher level of stress than junior students. A higher stress level was observed in the unsatisfied group, compared with the neutral group. By class and clinical schedule, students who followed the 3-week class and 3-week clinical schedule showed a higher level of stress than those who followed the 8-week class and 8-week clinical schedule. 2. Senior students had a higher mean coping strategy score than junior students. And the satisfied group showed higher self-esteem, compared with the neutral and unsatisfied group. 3. There was a positive correlation between stress associated with clinical learning experience and coping strategies. But a negative correlation was seen between stress and self-esteem in nursing students. 4. Nursing students used more coping mechanisms as their stress levels increased but showed low self-esteem. The results suggest the need for developing more effective teaching methods and strategies that could improve students' ability to solve problems and sustain their self-esteem even under a stressful circumstance.

• Journal of English Language & Literature
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• v.54 no.2
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• pp.189-215
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• 2008

This study proposes using children's literature as a means of teaching and learning English as a foreign language and suggests practical strategies on the basis of transactional theory of reading suggested by Rosenblatt (1994, 1995). This study suggests three novels written for children or young adults: On My Honor (1986) by Marion Dane Bauer, The Giver (1993) by Lois Lowry and Hatchet (1987) by Gary Paulsen. These texts were selected because of their diverse topics, easy and comprehensible language, engaging stories, and authentic and rich expressions, making them effective materials for foreign language learners. This paper is organized as follows: First, it reviews research on teaching literature in English education and response-oriented language teaching to provide theoretical background of literature-based language teaching and learning. Second, it provides the background of the texts selected for the study. Third, it develops diverse, practical strategies for instructors who intend to use children's literature in EFL teaching. We expect to guide EFL instructors in adopting children's literature in their English class by connecting theory and practice and by providing diverse methods and strategies, and sample responses by EFL university students.

• Journal of the Korean earth science society
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• v.26 no.3
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• pp.175-182
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• 2005

The purpose of this study was to investigate the effects of STS (Science, Technology and Society) instruction on 5th graders learning motivation and scientific attitudes, using ARCS (Attention, Relevance, Confidence, Satisfaction) strategies. A total of 53 fifth grade students were sampled from an elementary school, and were assigned to the experimental and the control groups. For four weeks, the experimental group was treated with STS instruction using ARCS strategies while the control group was treated with traditional instruction. The result of this study showed that STS instruction using ARCS strategies was more effective in the development of students' learning motivation and scientific attitudes.

• Journal of the Korea Convergence Society
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• v.10 no.10
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• pp.197-205
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• 2019

The purpose of this research was examining the effects of problem-based learning strategies(PBL) on problem solving skill conducted in Korea, using meta-analysis technique. This meta-analysis reviewed the results of 41 studies published between 1998 and 2017 in Korea. The overall weighted mean effect size value was .753 with .064 standard error which was calculated by random effects model. PBL strategies have been found to be more effective in mathematics course (d=.922), art course (d=.916), practical art course (d=.827), E-PBL (d=.791) and middle school level (d=.972). As PBL exhibit a substantial effect on students' problem solving skill, it is recommended that teachers should learn how to implement these strategies in their lesson. PBL is expected to contribute to the improvement of teaching methods as the learning environment changes during the 4th Industrial Revolution.

• Proceedings of the IEEK Conference
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• 2009.05a
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• pp.91-93
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• 2009

In this paper, we present the Q-learning method for adaptive traffic signal control on the basis of In this paper, we present the Q-learning method for adaptive traffic signal control on the basis of multi-agent technology. The structure is composed of sixphase agents and one intersection agent. Wireless communication network provides the possibility of the cooperation of agents. As one kind of reinforcement learning, Q-learning is adopted as the algorithm of the control mechanism, which can acquire optical control strategies from delayed reward; furthermore, we adopt dynamic learning method instead of static method, which is more practical. Simulation result indicates that it is more effective than traditional signal system.

• Korean Journal of Environmental Biology
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• v.26 no.4
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• pp.343-348
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• 2008

The study is to investigate the effects of the constructivist instructional model using ARCS strategies (attention, relevance, confidence, and satisfaction) on the environmental conservation of environment textbooks of middle school. The subjects of this study were applied to 135 students sampled 2nd graders of a middle school in Busan. All students were divided three groups according to teaching strategies. The first experimental group is consisted of students who participated in the traditional teaching program, the second is students who participated in the constructivist teaching program, and the third is students who participated in the constructivist teaching program with ARCS strategies. The pre-conceptions test was administered to examine students' pre-conceptions before the instructions. After the instructions, students' acquisition of scientific conceptions, academic achievement, and learning motivation were also tested. On average, the degrees of academic achievement for the group with ARCS strategies were higher than those of other groups and shown a significant difference among three programs. Thus the constructivist teaching program with ARCS strategies was more effective programs in acquisition of environmental conservation conception and learning motivation than the two other teaching programs.

• The Journal of Information Systems
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• v.27 no.3
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• pp.63-80
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• 2018

Purpose The purpose of this study is to build a machine learning-based customer classification model to promote customer expansion effect of the free sample promotion. Specifically, the proposed model classifies potential target customers who are expected to purchase the products included in the free sample promotion after receiving the free samples. Design/methodology/approach This study proposes to build a customer classification model for determining customers suitable for providing free samples by using various machine learning techniques such as logistic regression, multiple discriminant analysis, case-based reasoning, decision tree, artificial neural network, and support vector machine. To validate the usefulness of the proposed model, we apply it to a real-world free sample-based target marketing case of a Korean major cosmetic retail company. Findings Experimental results show that a machine learning-based customer classification model presents satisfactory accuracy ranging from 70% to 75%. In particular, support vector machine is found to be the most effective machine learning technique for free sample-based target marketing model. Our study sheds a light on customer relationship management strategies using free sample promotions.

• Journal of Fisheries and Marine Sciences Education
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• v.24 no.2
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• pp.272-285
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• 2012

The purpose of this study was to develop the Learning Strategy e-Learning Contents based on the storytelling in university students. The objective of the Learning Strategy e-Learning Contents based on the storytelling was to increase in learning skill which university students will use to keep major learning during their courses. The Learning Strategy e-Learning Contents was based on the results of pre-research on storytelling and learning skill. In order to verify the effectiveness of the Learning Strategy e-Learning Contents based on the storytelling, it was analyzed to validity of contents by five professionals. The results of the study were as follows. The Learning Strategy e-Learning Contents based on the storytelling for increasing in learning skill of university students consisted of 15 sessions which proceeding a per semester: the starting phase(1-2), the execution phase(3-13), and the ending phase(14-15). The subjects were 20 university students who had randomly assigned to an experimental group(10) and a control group(10). Subjects completed a learning skill scale. Data analyses were conducted using ANCOVA. The results of the analyses revealed that subjects of experimental group showed significantly higher scores on learning skill than one of control group. Based on the above results, it is concluded that the Learning Strategy e-Learning Contents based on the storytelling was effective in improving learning skill of university students.

• Smart Structures and Systems
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• v.32 no.1
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• pp.37-47
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• 2023

Indirect determination of pan evaporation (PE) has been highly regarded, due to the advantages of intelligent models employed for this objective. This work pursues improving the reliability of a popular intelligent model, namely multi-layer perceptron (MLP) through surmounting its computational knots. Available climatic data of Fresno weather station (California, USA) is used for this study. In the first step, testing several most common trainers of the MLP revealed the superiority of the Levenberg-Marquardt (LM) algorithm. It, therefore, is considered as the classical training approach. Next, the optimum configurations of two metaheuristic algorithms, namely cuttlefish optimization algorithm (CFOA) and teaching-learning-based optimization (TLBO) are incorporated to optimally train the MLP. In these two models, the LM is replaced with metaheuristic strategies. Overall, the results demonstrated the high competency of the MLP (correlations above 0.997) in the presence of all three strategies. It was also observed that the TLBO enhances the learning and prediction accuracy of the classical MLP (by nearly 7.7% and 9.2%, respectively), while the CFOA performed weaker than LM. Moreover, a comparison between the efficiency of the used metaheuristic optimizers showed that the TLBO is a more time-effective technique for predicting the PE. Hence, it can serve as a promising approach for indirect PE analysis.

• Educational Technology International
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• v.11 no.2
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• pp.43-75
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• 2010

The purpose of this study is to identify patterns of learner behaviors, conflicting and facilitating factors during collaborative work in an online learning community(OLC). This study further seeks to investigate the difference of learner behaviors between high- and low-performing groups, and conflicting and facilitating factors. The online postings from four groups(19 students) in the spring semester(study 1) and six groups(24 students) in the fall semester(study 2) were analyzed. A coding scheme was generated based on constant comparison using the qualitative data analysis tool, NVivo. The analysis identified 7 categories of learner behaviors in both studies. Among the seven categories, information seeking and co-construction were most frequently observed in both studies. One evident difference between the high- and low-performing groups was that the high-performing groups revealed more incidents of learner behaviors in both studies. In addition, six categories of conflicting factors and five categories of facilitating factors were emerged in both studies. The inefficiency of work category was one of the most frequently observed categories in both studies. Interestingly, the high-performing groups showed more incidents of conflicting factors than the low-performing groups. This study revealed two different types of conflicting factors and there is a need for different moderating strategies depending on its type. Based on the results of the study, effective design strategies for an OLC to facilitate active learning were suggested.