• Journal of Dental Rehabilitation and Applied Science
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• v.35 no.4
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• pp.220-227
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• 2019

Purpose: The purpose of this study was to compare the degree of tooth preparation abilities of students according to three self-assessment methods. Materials and Methods: forty-eight sophomores in Kyungpook National University College of Dentistry were divided into three experimental groups. Students performed tooth preparation of the left mandibular first molar for full gold crown. They performed self-assessment using the three methods (visual, digital, and putty index self-assessment group), and reperformed tooth preparation. An intraoral scanner was used to scan each tooth model (prepared tooth and unprepared tooth), and data were acquired in standard tessellation language (STL) file format. The STL files of prepared tooth and unprepared tooth were superimposed using the 3-dimensional analysis software (Geomagic control X). And the reduction amount was measured. In the statistical analysis, all values of reduction amount were analyzed with the Wilcoxon signed rank test and Kruskal-Wallis test (α = 0.05). Results: The three self-assessment methods showed statistically significant differences (P < 0.001). The putty index self-assessment group showed the highest reduction in error than the digital self-assessment method. Conclusion: Within limitations of this study, students showed significant differences in improvement of tooth preparation ability according to the three self-evaluation methods.

• International Journal of Advanced Culture Technology
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• v.10 no.2
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• pp.62-68
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• 2022

Evaluation as learning is important for the learner competency test, and the applicable method is studied. Assessment is the role of diagnosing the current learner's status and facilitating learning through appropriate feedback. The system is insufficient to enable process-oriented evaluation in small educational institute. Focusing on becoming familiar with the AI through experience can end up simply learning how to use the tools or just playing with them rather than achieving ultimate goals of AI education. In a previous study, the experience way of AI education with PLAY model was proposed, but the assessment stage is insufficient. In this paper, we propose ELAS (Experiential K-12 AI education Learning Assessment System) for small educational institute. In order to apply the Assessment factor in in this system, the AI-factor is selected by researching the goals of the current SW education and AI education. The proposed system consists of 4 modules as Assessment-factor agent, Self-assessment agent, Question-bank agent and Assessment -analysis agent. Self-assessment learning is a powerful mechanism for improving learning for students. ELAS is extended with the experiential way of AI education model of previous study, and the teacher designs the assessment through the ELAS system. ELAS enables teachers of small institutes to automate analysis and manage data accumulation following their learning purpose. With this, it is possible to adjust the learning difficulty in curriculum design to make better for your purpose.

• Journal of Korean Elementary Science Education
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• v.41 no.1
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• pp.134-149
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• 2022

This study aims to identify the student assessment competency of the three elementary science teachers and investigate strategic measures to improve them. The study progressed as a qualitative case study method. A self-awareness checklist and in-depth interviews were conducted to collect data. The data analysis was reviewed and agreed upon by two process-focused assessment-leading teachers and two elementary science education experts. Consequently, the level of self-awareness of student assessment competency of the three participants was relatively high. However, the scale average of the feedback area was the lowest on average. The student assessment competency of the participants showed different levels and characteristics. Additionally, some inconsistencies between perception and practice were found. Strategic support and education are needed to enhance elementary science teachers' student assessment competency, and the development of self-diagnosis tools should proceed.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.608-611
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• 2003

Performance assessment was introduced to improvement of self-directed learning and method of assessment for differenced learning as the seventh educational curriculum is enforced. Performance assessment is overcoming limitation about problem solving ability and higher thinking abilities assessment that is problem of a written examination and get into the spotlight by way for quality of class and school normalization. But performance assessment has problems about possibilities of assessment fault by appraisal, fairness, reliability, and validity of grading, ambiguity of grading standard, difficulty about objectivity security etc. This study proposes fuzzy performance assessment system to solve problem of the conventional performance assessment. This paper presented an objective and reliable performance assessment method through fuzzy reasoning, design fuzzy membership function and define fuzzy rule analyzing factor that influence in each sacred ground of performance assessment to account principle subject. Also, performance assessment item divides by formation estimation and subject estimation and designed membership function in proposed performance assessment method. Performance assessment result that is worked through fuzzy performance assessment system can pare down burden about appraisal's fault and provide fair and reliable assessment result through grading that have correct standard and consistency to students.

• The Korean Journal of Rehabilitation Nursing
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• v.10 no.1
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• pp.29-36
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• 2007

Purpose: The purpose of this study was to identify the effects of structured information provided on self care knowledge, self care performance, and functional status. Method: The data were collected using self care knowledge and performance assessment tool, and functional status assessment tool from both group hospitalized patients at D hospital in Busan. Results: There was a significant improvement(p=.032) in self care knowledge in experimental group compared to the control group. But there were not improvement in self care performance and functional status in experimental group compared to the control group. But comparing to pretest and posttest in experimental group, There were significant improvement in self care performance (p=.003) and functional status(p=.013). Conclusion: Structured information provided showed increased in the degree of knowledge, self care performance, and functional status. But the effect size of program which had been developed in this study was estimated small, so there is needed to modify this program and to research repeatedly.

• Korean Journal of Ecology and Environment
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• v.50 no.3
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• pp.314-324
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• 2017

In order to consider application and evaluation of value and class of domestic wetland, we investigated 146 wetlands located Gyeongsangnam-do using Rapid Assessment Method (RAM). We utilized Self-Organizing-Map (SOM) to analysis relationship between evaluation index and land coverage ratio surrounding wetland. Among total 8 evaluation index, 'Fish and herptile habitat' and 'Aesthetic value' were higher, most of the wetlands evaluated as 2, 3 grade. Result of SOM analysis, 'vegetation diversity and wild animals habitat' is negatively related to the 'Fish and herptile habitat', because fishs were not prefer habitat excessively occupied by plant. However, high vegetation diversity can be support high score of 'Aesthetic' in wetland. Also, 'Erosion control' and 'Flood storage and control' were closely related, wetlands with high score of 'Erosion control' have high score of 'Flood storage and control'. When applied RAM in domestic wetland, six out of 6 evaluation index induced biased results, the index of RAM need a little change as some new or modify evaluation index. Therefore, we consider to need adjustable, subdivide, and actualization of some evaluation index for application of RAM in domestic wetlands. Consequently, wetland assessment and class using RAM can be utilized as important indicate for conservation and management of wetland, and contributed greatly to maintain biodiversity include to endangered species by preserving remaining wetland.

• Journal of Physiology & Pathology in Korean Medicine
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• v.32 no.1
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• pp.51-61
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• 2018

This study aims to evaluate the student's satisfaction of clinical performance examination(CPX) and self-assessment in Korean medical curriculum. A questionnaire was given to clinical clerkship students of Pusan National University School of Korean medicine in this study. The items in this questionnaire covered overall evaluation of guidelines, module & learning environment, standardized patients, and self-assessment in CPX. Most of all students recognized CPX as a more effective learning method than any other method. Most students were satisfied with the module & learning environment, standardized patients, and self-assessment except the satisfaction for guidelines relationally. The results of this study demonstrated that the students had a high level of satisfaction in CPX. This study shows that CPX has been implemented into the Korean medical curriculum.

• Journal of Industrial Technology
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• v.28 no.B
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• pp.199-207
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• 2008

A linear wind prediction program, WAsP, was employed to predict wind speed at two different sites located in complex terrain in South Korea. The reference data obtained at locations more than 7 kilometers away from the prediction sites were used for prediction. The predictions from the linear model were compared with the measured data at the two prediction sites. Two compensation methods such as a self-prediction error method and a delta ruggedness index (RIX) method were used to improve the wind speed prediction from WAsP and showed a good possibility. The wind speed prediction errors reached within 3.5 % with the self prediction error method, and within 10% with the delta RIX method. The self prediction error method can be used as a compensation method to reduce the wind speed prediction error in WAsP.

• 한국신재생에너지학회:학술대회논문집
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• 2008.10a
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• pp.268-273
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• 2008

A linear wind prediction program, WAsP, was employed to predict wind speed at two different sites located in complex terrain in South Korea. The reference data obtained at locations more than 7 kilometers away from the prediction sites were used for prediction. The predictions from the linear model were compared with the measured data at the two prediction sites. Two compensation methods such as a self-prediction error method and a delta ruggedness index (RIX) method were used to improve the wind speed prediction from WAsP and showed a good possibility. The wind speed prediction errors reached within 3.5 % with the self prediction error method, and within 10% with the delta RIX method. The self prediction error method can be used as a compensation method to reduce the wind speed prediction error in WAsP.

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2018.11a
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• pp.27-28
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• 2018