• Journal of East-West Nursing Research
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• v.26 no.2
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• pp.176-184
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• 2020

Purpose: The purpose of this study was to investigate the influence of nursing students' self-reflection and insight, and academic selfefficacy on their clinical reasoning competence. Methods: Data were collected from 147 third- and fourth-year nursing students who had more than 6 months of clinical training experience. Clinical reasoning competence, self-reflection and insight, and academic self-efficacy were measured using self-reported questionnaires. Data analysis was conducted with IBM SPSS 25.0 using one-way ANOVA, independent t-test, Pearson correlation coefficient, and multiple regression analysis. Results: Clinical reasoning competence was positively correlated with self-reflection and insight (r=.24, p=.003) and academic self-efficacy (r=.30, p<.001). Academic self-efficacy (β=.23, p=.011), dissatisfaction with major (β=-.17, p=.034), and 5~8 case studies (β=-.39, p=.027) were identified as factors influencing clinical reasoning competence (adjusted R²=.15). Conclusion: To improve the clinical reasoning competence of nursing students, it is necessary to develop the academic self-efficacy of complex cases and provide critical inquiries, debriefing tailored to clinical reasoning, and sufficient reflection during clinical and simulation practice.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.353-361
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• 2024

Simulation education is a method that allows learners to learn repeatedly in realistic simulated situations. It solves the limitations of clinical practice that lacks direct nursing performance and is useful for acquiring and developing the knowledge, nursing skills, communication skills, learning self-efficacy, and clinical reasoning required for nursing students. The purpose of this study was identify the effects of High fidelity simulation-based education on communication ability, learning self-efficacy and clinical reasoning of nursing students. The subjects were 84 nursing students who were enrolled in the senior who had received simulation training using dysphagia patient care scenario. Data were analyzed using SPSS/WIN 22.0. As a result, There was a statistically significant difference in the communication ability, learning self-efficacy, clinical reasoning. And the mean score of simulation effectiveness is 2.64 points (a perfect score of three). Therefore, In order to improve the communication ability, learning self-efficacy and clinical reasoning of nursing students, it is necessary to develop and apply realistic scenarios that reflect various clinical situations.

• Journal of Educational Research in Mathematics
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• v.11 no.1
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• pp.193-206
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• 2001

This study was designed to develop investigation- and exploration- activities on Euclidean geometry with an exploratory type software, Geometer's Sketchpad, and to gain insights into the geometric reasoning abilities of college students working with the software. A package of Euclidean geometric activities with GSP was developed and four college students worked on the several activities with GSP and their geometric reasoning process were analyzed. Results indicated that GSP helped students solve problems in the several ways: to make conjectures and discover theorems by providing precise construction and measurement; to discover their proofs by providing the visual images and its manipulation; and to make students easily apply "what-if"strategies and expand and deepen their activities. Students' geometric reasoning was highly depended on analytic methods and their abilities with synthetic methods were shown very limited.

• Journal of Korean Elementary Science Education
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• v.20 no.1
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• pp.1-7
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• 2001

The purpose of this study is to examine the learner's variables affecting on scientific thinking and scientific process skills. To study this purpose, through the procedure study, the learner's variables were divided into cognitive variable, ego variable, and affective variable, then the questionaire survey through the reconstruction of standardization instrument was made over 120 elementary school fifth grade student in Seoul, Anyang, and Pajoo. The results of this study were as follows: 1) The learner's variables affecting on scientific thinking were cognitive variable and for female students, also affect affective variable. The subordinated catagories of statistically significant degree of explanation were achievement motivation, cognitive level, and cognitive style and another statistically significant correlation were meta-cognition, self regulated learning, self efficacy, and muliple intelligence. 2) The learner's variables affecting on science process skills were cognitive variable and affective variable. And the subordinated catagories of statistically significant degree of explanation were achievement motivation, and cognitive level. And another statistically significant correlation were meta-cognition, self regulated loaming, self efficacy, multiple intelligence, and attribution.

• Journal of The Korean Association For Science Education
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• v.34 no.2
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• pp.155-163
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• 2014

The present study tries to identify the characteristics of Problem Based Learning (PBL), which affects the development of middle school students' science self-efficacy. Additionally, we have tried to analyze the relationship within those characteristics to demonstrate the processes of science self-efficacy development. In line with this reasoning, we have developed a 20-module, problem-based learning science program and applied this program to 9th grade students (n=17). Two rounds of qualitative interviews have been conducted with each participant after the program, which has been analyzed with the well-documented method by Corbin and Strauss (2007). As a result, three characteristics of problem based learning have been identified to affect the development of science self-efficacy: a) authentic and ill-structured problem sets, b) small group activity, and c) result sharing. Further analysis has revealed that an authentic and ill-structured problem set as a condition precedent of self-efficacy development, while small group activity has worked as an acceleration condition. Lastly, sharing the result works as a transition condition to future interest on science-related activity or choosing science-related majors.

• Journal of The Korean Association of Information Education
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• v.18 no.1
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• pp.111-120
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• 2014

Information and knowledge society in the 21st century computer education is very important. Until now, much research on computer applications in education and training in computer literacy are a lot of self-efficacy scales have been developed. However, the development of students' creativity and reasoning to computer literacy education is more important than education is a computer programming language. And self-efficacy for teaching computer programming language developed measures insufficient. Therefore, in this study, self-efficacy for teaching computer programming language developed scale. This measure is a computer that can be programmed to target elementary school students were investigated. The results of computer programming education for elementary school children who are higher in the self-efficacy. The results of this study are that elementary school students when teaching computer programming that is very reasonable results.

• Journal of The Korean Association For Science Education
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• v.19 no.3
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• pp.471-478
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• 1999

In this study, the relationships among learners' cognitive variables, motivational variables, and conceptual understandings in learning with analogy were investigated. The instruments regarding analogical reasoning ability, field dependence-independence, mental capacity, and logical thinking ability were administered. Some subtests (self-efficacy, expectancy, self-concept of ability, and value) of the Patterns of Adaptive Learning Survey were administered. After students learned with a worksheet that included analogy, a conception test regarding 'stoichiometry that included limiting reagent' was also administered. It was found that learners' conceptual understandings were significantly correlated with the logical thinking ability and the field dependence-independence among the cognitive variables, and the self-efficacy and the self-concept of ability among the motivational variables. The multiple regression analysis of the cognitive variables on conceptual understandings revealed that the logical thinking ability was the most significant predictor. The field dependence-independence also had predictive power. In the analysis of the motivational variables, the self concept of ability was the only significant predictor.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1993.10a
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• pp.461-466
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• 1993

This paper focuses on development and implementation of a performance management algorithm for IEEE802.4 token bus networks to serve large-sale integrated systems. The delivery of time critical messages within delay constraints is an important criterion in the design and management of computer communication networks. In order to achieve this goal, the theory of fuzzy sets has been employed to imitate human's reasoning. The Fuzzy Network Performance Manager(FNPM) is composed of two parts: FNPM1 & FNPM2. FNPM1 is solily intended to satisfy the data latencyfor the highest priority while the other part is trying to satisfy those for the lower priorities. The FNPM requires average data latency, throughput, and token circulation time for its inputs. The efficacy of the FNPM has been evaluated by a series of simulation experiments.

• Herbal Formula Science
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• v.25 no.1
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• pp.29-38
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• 2017

Objectives : The purpose of this study is to infer the prescription effectiveness that have not been recorded in the existing effectiveness and to find out how to classify. Methods : The herbal compositions of bang-yaghabpyeon, the herbal textbooks and contents related to the prescription textbooks' effectiveness were entered into the database using the 'Access 2014 of the MS'. The effectiveness are inferred using query sentences. Results : The prescription effectiveness in the bang-yaghabpyeon were inferred using the herbal classification, herbal effectiveness and herbal effectiveness inferred from prescription textbooks. Conclusions : Each information of herbal effectiveness strength was extracted using the prescription textbooks' effectiveness information. These results were efficient to infer and classify bang-yaghabpyeon prescription effectiveness.

• Journal of Institute of Control, Robotics and Systems
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• v.3 no.2
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• pp.204-213
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• 1997

In this paper, an application of fuzzy-neuron reasoning to the control of an activated sludge plant is presented. The activated sludge process is widely used in modern wastewater treatment plants. The operation control of the activated sludge process, however, is difficult due to the following reasons : 1)The complexity of the wastewater components, 2)the change of the wastewater influent, and 3)the adjustment errors in the control process. Because of these reasons, it is difficult to obtain mathematical model that really reflect the relationship between the variables and parameters in the process of wastewater treatment correctively and effectively. In this paper, the activated sludge process(A.S.P.) is modeled by a new fuzzy-neuron network representing nonlinear characteristics. These fuzzy-neurons have fuzzy rules with complementary membership function. Based on the constructed model, graphic simulator on X-window system as a graphic integrated environment is implemented. The efficacy of the proposed control scheme was evaluated and demonstrated by means of the field test.