• 동서간호학연구지
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• 제26권2호
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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.

• 문화기술의 융합
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• 제10권1호
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• pp.353-361
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• 2024

시뮬레이션 교육은 현장감있는 모의 상황에서 학습자가 반복적으로 학습하도록 하는 방법으로 직접간호 수행이 부족한 임상실습의 한계를 해결하여 간호대학생에게 필요한 의사소통능력, 학습자기효능감, 임상추론역량을 습득하고 개발하는 데 유용하다. 본 연구는 고충실도 시뮬레이터를 활용한 시뮬레이션 교육이 간호대학생의 의사소통능력, 학습자기효능감, 임상추론역량에 미치는 효과와 시뮬레이션 교육 효과성을 확인하기 위해 실시되었다. 연하곤란 대상자 간호 시나리오를 활용한 시뮬레이션 교육에 참여한 일개대학 간호학과 4학년 학생 84명의 자료를 SPSS/WIN 22.0 프로그램을 이용하여 분석하였다. 연구 결과 시뮬레이션 교육 후 의사소통능력, 학습자기효능감, 임상추론역량은 유의하게 증가하였으며, 시뮬레이션 교육 효과성은 2.64점(3점 만점)이었다. 따라서 간호대학생의 의사소통능력, 학습자기효능감, 임상추론역량 증진을 위해서 다양한 임상현장을 반영하여 실재감있는 시나리오의 개발 및 적용이 필요하다.

• 대한수학교육학회지:수학교육학연구
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• 제11권1호
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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.

• 한국초등과학교육학회지:초등과학교육
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• 제20권1호
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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.

• 한국과학교육학회지
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• 제34권2호
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• pp.155-163
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• 2014

본 연구에서는 중학생들의 과학적 자기효능감 발달에 영향을 미치는 문제중심학습의 학습 특성을 추출하고 이들 특성 간의 관계를 분석하여 자기효능감이 형성되는 과정을 제시하고자 하였다. 이를 위해 20개의 모듈로 이루어진 문제중심학습 과학 프로그램을 개발하였으며, 17명의 중학교 3학년 학생들에게 이 프로그램을 처치하였다. 프로그램을 마친 후 2차에 걸친 반구조화된 심층면담을 하였고 면담자료는 Corbin과 Strauss(2007)의 방법으로 분석하였다. 연구 결과, 학습자의 과학적 자기효능감 발달에 영향을 미치는 문제중심학습의 학습 특성은 실제적이고 비구조화된 문제의 제공, 소그룹 협동학습, 결과의 공유이었다. 실제적이고 비구조화적인 문제의 특성은 학습자의 과학적 자기효능감 형성에 선행조건으로 작용하였으며, 소그룹 협동학습은 자기효능감의 형성을 실질적으로 신장시키는 촉진조건으로 작용하였다. 또한 결과의 공유는 형성된 자기효능감을 미래 과학 활동 참여 의지나 과학적 진로의 선택 등으로 발전시키는 전이조건이 됨을 알 수 있었다.

• 정보교육학회논문지
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• 제18권1호
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• pp.111-120
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• 2014

21세기 지식 정보 사회에서 컴퓨터 교육은 매우 중요하다. 지금까지 컴퓨터 활용 교육에 대한 연구는 많이 되어 있고, 컴퓨터 활용교육에 대한 자기 효능감 척도들은 많이 개발 되어 있다. 그러나 학생들의 창의성과 논리력 개발을 위하여 컴퓨터 활용 교육보다 컴퓨터 프로그래밍 언어 교육이 더 중요하다. 그리고 컴퓨터 프로그래밍 언어 교육을 위한 자기 효능감 척도 개발이 미흡하다. 따라서 본 연구에서 컴퓨터 프로그래밍 언어 교육을 위한 자기 효능감 척도를 개발하였다. 본 척도는 컴퓨터 프로그래밍을 할 수 있는 초등학생들을 대상으로 연구하였다. 본 연구 결과 초등학생들을 대상으로 컴퓨터 프로그래밍 교육을 하면 자기 효능감이 높게 나타났다. 본 연구의 결과는 초등학생들을 컴퓨터 프로그래밍 교육을 시키면 매우 타당하다는 결과를 얻었다.

• 한국과학교육학회지
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• 제19권3호
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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.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1993년도 추계학술대회 논문집
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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.

• 대한한의학방제학회지
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• 제25권1호
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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.

• 제어로봇시스템학회논문지
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• 제3권2호
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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.