• Journal of Korean Elementary Science Education
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• v.20 no.2
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• pp.165-175
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• 2001

The study aimed to examine the effects of cooperative learning in science teaching on scientific knowledge, inquiry ability, and science - related attitudes. This study has carried out LT strategy. The cooperative learning was applied to the experimental group for 8 weeks with worksheets developed for this study, The results were statistically analyzed by SPSS. The results are as follows: Students of cooperative learning made significant progress in scientific knowledge(p<.05), inquiry ability(p<.01), and science - related attitudes(p<.05). The students in the cooperative classes have shown that the cooperative learning was good for causing interest. inducing active participation, and helping students' learning. and students showed strong wish for the continuous cooperative loaming.

• English Language & Literature Teaching
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• v.15 no.4
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• pp.137-156
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• 2009

This case study examines language learners' oral interactive practices and what they learn along with these practices. Language learners who study abroad take on the challenge of living in a foreign place and undergo difficulties in communicating and interacting with people in their new country. These difficulties, caused by cultural differences, are experienced most particularly in their daily interactions. Language learners' trials and efforts to learn English while dealing with a different culture and the difficulties are mainly observed for this paper. The process of learning a second culture is closely related to the process of learning a second language. Oral interactive practices can give the study abroad language learners opportunities to learn their target culture. Therefore, the purpose of this paper is to discuss how participating in interactive practices assists the learners in understanding their target culture while they deal with their difficulties inherent in studying abroad. This study adds weight to the notion that culture is an essential and major factor in learning a language, and that only active participation in interactions can be effective in learning both a language and its culture.

• Korea Journal of Hospital Management
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• v.20 no.2
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• pp.1-14
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• 2015

Purpose : The aim of this article is to describe the nurses' experiential learning mechanism on patient safety. Methods : To analyze nurses' learning experiences on patient safety cases, a focus-group interview method was used. The Kolb's experiential learning model was used as a reference model. Findings : Without deep reflective reasoning about specific experiences, there is no creative or innovative solutions to experiment actively. Nurses are likely to be reluctant learners when there is no systemic support from formal departments which is in charge of patient safety and quality of care. Conclusion : In order to build patient safety culture in hospital, there should be efforts to make nurses as active learners on patient safety as well as to build learning environments in medical units.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.351-352
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• 2023

In order to respond to changes in the industrial environment such as the 4th industrial revolution, university education also needs active educational innovation efforts. This study proposed a construction construction hybrid curriculum that can actively utilize online education in the direction of educational innovation in domestic universities. The hybrid curriculum was based on online learning through lecture videos used in team-based learning. The hybrid curriculum additionally allows learners to choose their learning methods. In a hybrid class, learners can choose the class participation method they want from offline classroom or online real-time. Hybrid classes are considered to strengthen learners' options and take a step forward in learner-centered education.

• Educational Technology International
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• v.9 no.2
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• pp.1-15
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• 2008

One of the challenges that online learners face is feeling of isolation and diminishing desire of maintaining active participation during e-learning. Social presence, that is considered to be a vital factor in e-learning, is recently started to receive a support from the field. Although research indicated a significant role of social presence in both learning process and learning outcome, there is no widely accepted measurement scale of social presence. This study, therefore, developed a new scale to measure social presence based on the existing theories and validated it against 723 participants. Nineteen self-report items with three dimensions, co-presence, influence, and cohesiveness, were identified and validated using Exploratory Factor Analysis (EFA) in a preliminary and a follow-up study.

• Journal of Science Education
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• v.37 no.1
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• pp.117-130
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• 2013

The purpose of this study was to analyze the patterns and features of interaction in teacher interviewing with high school students' small group for biology learning. The interactions in variety between the students and between the students and the teacher were made as the interviews with each small group were repeated to feedback for biology learning. The patterns of interaction were categorized into four types by interactive level of interaction among group members and a teacher: leader representation without interaction among students and the teacher(LR, leader representation), interaction among a part of students and the teacher(PSI, partial students interaction), active interaction among students inside the group, but only interaction between the teacher and the leader student(SAI, students active interaction), and interaction between all of the students and the teacher(teacher-students active interaction). Even though complex patterns of interactions were made among the students at the initial stage of insufficient understanding on the study concept, the simple interaction processes were shown as students had gradually completed the understanding on the concept. It was displayed that the interaction in the small group for biology study provides the opportunity to confirm and understand the concept to the students who were poor at the understanding on the concept, and it can influence positively on the mutual creation of study concept.

• Journal of Engineering Education Research
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• v.13 no.6
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• pp.3-13
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• 2010

The purpose of this study was to investigate between learning styles and communication apprehension of Engineering students. Participants were 405 first-year Engineering cohort. Following were the results: First, 80 percent were classified as Reflective learners, 61 percent were classified as Sensing learners, 73.1 percent were classified as Visual learners, and 66.7 percent were classified as Global learners. Second, the result showed that there was a significant difference in learning style by gender. Most female learners were Reflective, while most male learners were Active. Lastly, the finding revealed that there were significant differences in communication apprehension on Perception and Processing dimension. Sensing students demonstrated higher level of communication apprehension than Intuitive students and Reflective students shown higher level of communication apprehension than Active students. For the program developing Engineering students' communication skills, implications for reducing students' communication apprehension based on the type of learning styles were discussed.

• Journal of Internet of Things and Convergence
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• v.8 no.3
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• pp.69-74
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• 2022

Big data related analysis techniques, the prescriptive analytics methodology improves the performance of passive learning models by ensuring that active learning secures high-quality learning data. Prescriptive analytics is a performance maximizing process by enhancing the machine learning models and optimizing systems through active learning to secure high-quality learning data. It is the best subscription value analysis that constructs the expensive category data efficiently. To expand the value of data by collecting research field, research propensity, and research activity information, customized researcher through prescriptive analysis such as predicting the situation at the time of execution after data pre-processing, deriving viable alternatives, and examining the validity of alternatives according to changes in the situation Provides research information service.

• The Bulletin of The Korean Astronomical Society
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• v.46 no.1
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• pp.42.1-42.1
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• 2021

In this study, we present a visual explanation of a deep learning solar flare forecast model and its relationship to physical parameters of solar active regions (ARs). For this, we use full-disk magnetograms at 00:00 UT from the Solar and Heliospheric Observatory/Michelson Doppler Imager and the Solar Dynamics Observatory/Helioseismic and Magnetic Imager, physical parameters from the Space-weather HMI Active Region Patch (SHARP), and Geostationary Operational Environmental Satellite X-ray flare data. Our deep learning flare forecast model based on the Convolutional Neural Network (CNN) predicts "Yes" or "No" for the daily occurrence of C-, M-, and X-class flares. We interpret the model using two CNN attribution methods (guided backpropagation and Gradient-weighted Class Activation Mapping [Grad-CAM]) that provide quantitative information on explaining the model. We find that our deep learning flare forecasting model is intimately related to AR physical properties that have also been distinguished in previous studies as holding significant predictive ability. Major results of this study are as follows. First, we successfully apply our deep learning models to the forecast of daily solar flare occurrence with TSS = 0.65, without any preprocessing to extract features from data. Second, using the attribution methods, we find that the polarity inversion line is an important feature for the deep learning flare forecasting model. Third, the ARs with high Grad-CAM values produce more flares than those with low Grad-CAM values. Fourth, nine SHARP parameters such as total unsigned vertical current, total unsigned current helicity, total unsigned flux, and total photospheric magnetic free energy density are well correlated with Grad-CAM values.

• Asia Marketing Journal
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• v.6 no.3
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• pp.1-26
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• 2004

The purpose of this study is to conduct a theoretical and empirical study to identify the appropriate organizational culture for the activation of CRM. The contents of this study are consisted of two parts: First, using the organizational learning theory originated in the organizational behavior area this study proposed which culture related factors are indispensable for the activation of CRM. Second, the propositions in the first part were confirmed by analyzing the survey data from the CRM practitioners in Korean companies. Conclusively the results show the follows: First, for the activation of CRM not only the individual learning(including team learning) but also the enterprise-wide sharing of the information is the crucial element. Second, for the activation of the individual learning, the enterprise-wide participation, the active experimental trials based on the empowerment, and the facilitative leadership of top management must be encouraged. Third, for the activation of the information sharing the active communication among the departments and the possession of organizational memory must be realized.