• Journal of Software Assessment and Valuation
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• v.15 no.1
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• pp.63-70
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• 2019

These days, as Interest in Image recognition with deep learning is increasing, there has been a lot of research in image recognition using deep learning. In this study, we propose a system for classifying rocks through rock images of 18 types of rock(6 types of igneous, 6 types of metamorphic, 6 types of sedimentary rock) which are addressed in the high school curriculum, using CNN model based on Tensorflow, deep learning open source framework. As a result, we developed a classifier to distinguish rocks by learning the images of rocks and confirmed the classification performance of rock classifier. Finally, through the mobile application implemented, students can use the application as a learning tool in classroom or on-site experience.

• Educational Technology International
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• v.23 no.2
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• pp.183-205
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• 2022

Mental status examination is an important stage in the assessment process because it serves as the foundation for establishing nursing diagnosis and intervention. Until now many students still feel difficult to understand the terms in the assessment of mental status. Interactive Mobile Learning in one of the media that is currently being developed. The use of this media will provide more in-depth learning opportunities, and students can practice their skills in carrying out practicals because of the mobility principle possessed by smartphones. The purpose of this study was to develop a smartphone-based app and evaluate the app's effectiveness by measuring nursing students' knowledge of mental status examination. Design: A randomized trial with a pre-and post-test design was conducted at a university in Indonesia. A total of seventy junior nursing students participated in this study. The intervention group received a smartphone-based app, and the control group received one-time lecture-based learning. We offered the experimental group the app and information about how to use it, and we encouraged them to use it. The control group received classroom instruction. Results: The intervention group scored significantly higher than the control group on knowledge score (t = 19.40, p = 0.000) and satisfaction with the learning method (t = 0.640, p = 0.021) Conclusion: These findings suggest that smartphonebased education could be an effective method in nursing education for teaching mental status examinations.

• Journal of The Korean Association of Information Education
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• v.24 no.1
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• pp.117-129
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• 2020

The purpose of this paper is to explore ways to assess computational thinking from a formative perspective and to design a process for assessing programming learning using Python. Therefore, this study explored the computational thinking domain and analyzed research related to assessment design. Also, this study identified the areas of Python programming learning that beginners learn and the areas of computational thinking ability that can be obtained through Python learning. Through this, we designed an assessment method that provides feedback by analyzing syntax corresponding to computational thinking ability. Besides, self-assessment is possible through reflective thinking by using the flow-chart and pseudo-code to express ideas, and peer feedback is designed through code sharing and communication using community.

• Journal of Korean Elementary Science Education
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• v.22 no.2
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• pp.192-199
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• 2003

The Journal of Korean Elementary Science Education has been developed in both quantitative and qualitative aspects during twenty years since first published year 1983. This study was intended to survey the research trend of the journals, which has been published so far. It will give an orientation of science education research and suggestions towards research to improve science education. The 243 articles of the journals, which were published from 1983 to 2002 by Korean Elementary Science Education Society, were classified into 7 categories including science teaching, science learning, assessment in science, science teacher education, science curriculum, educational facilities & materials, and general science education. The results are as follows: 1. The articles published last decade are increased four times compared with the first decade. 2. The half of articles published so far concentrated on science teaching and learning. The articles on educational facilities & materials or general science education are few. 3. During the last decade, the articles on science teacher education, educational facilities & materials, assessment in science, and science learning relatively increased than the first decade. The number of articles on science curriculum was fluctuated every five years. 4. Most of articles were focused on the narrow subject areas. For example, the articles on science teaching, science learning, assessment in science, science teacher education, science curriculum, and educational facilities & materials were largely focused on the teaching strategies, pupils' conception, affective assessment and teaching practice survey, teachers' appreciation about the nature of science or instruction, analysis of science textbooks, development of the experimental materials or the audiovisual aids respectively. 5. The subject areas highlighted so far in science education, for example, inquiry or experimental activities, STS instruction, environmental education, gifted education, instruction with multimedia, problem-solving or reasoning, experimental skill assessment, etc. were not much researched.

• Communications of Mathematical Education
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• v.22 no.2
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• pp.229-252
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• 2008

The purpose of this research was to make fair assessment methods which took into account characteristics of mathematically underachievers. The researchers devised an descriptive tests and interviews and applied them to the mathematics underachievers who could not reveal their achievements in the traditional assessment and then analyzed their cognitive and affective characteristics in the alternative assessments. After selecting three students by the normal assessment made of simple subjective and multiple choice questions, the cognitive and affective characteristics found in the general assessment were reflected to the descriptive tests and interviews. The descriptive tests and interviews are comprised of descriptive narrations and informal interview questions. After the assessment, the teacher and students gave feedbacks one another. All the assessment activities were recorded by a camcorder to analyze cognitive and affective characteristics of the children. Throughout the research, the following conclusions were made. The mathematics underachievers showed the characteristics which didn't appeared in the normal assessment. They showed normal abilities of problem solving and communication In the cognitive area. Also they brought in positive result in most parts in the affective area. However, the student B displayed considerable ability of mathematical thinking that is over the average level of mathematical underachievers. This implies that we can definite the mathematical underachievers differently when we use the detailed and relief assessment method instead of the traditional assessment. On the other hand, one student tended to depend on the teacher and another student overheard what the others talk during the study. This defect should be complemented by the further studies about assessment method for the mathematical underachievers. Also appropriate assessment methods should be made for applying to the various mathematical underachievers. Many studies have been concentrated on the learning for mathematical underachievers but there is little concern about the assessment for the mathematical underachievers. However it is the fundamental way to reduce the number of mathematics underachievers that we construct consistent learning methods and assessments for the mathematical underachievers.

• The Journal of Korean Institute for Practical Engineering Education
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• v.2 no.1
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• pp.17-27
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• 2010

In this study, the assessment and the factor analysis of the self-directed learning readiness for engineering students were conducted. As measurement tool was used the self-directed learning readiness scale of Guglielmino's SDLRS questionnaire in Korean translation. It was surveyed under 519 students of Faculty of Engineering of Korea University of Technology and Education. Responded questionnaires were 496. As a result, seven factors were identified: (1)openness to learning, (2)initiative and inquiring mind, (3)independence and basic learning skills, (4)creativity, (5)accepting responsibility for learning, (6)love of learning, (7)positive orientation of the future. And the scale was confirmed in validity. It was confirmed that the mean value of openness to learning and of love of learning were higher than average, while mean value of independence and basic learning skills, accepting responsibility for learning were lower than average, there was the difference in SDLRS by students' personal backgrounds, but there were statistically significant differences in seven factors.

• School Mathematics
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• v.8 no.3
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• pp.301-326
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• 2006

Teacher's competence in student assessment is an essential ability to mathematics teachers and should be improved qualitatively. This study suggests how college of education should make efforts in educating prospective teachers who will have competence in student assessment. First, $\ulcorner$Assessment of Mathematics Learning$\lrcorner$ must be set as a required subject. Second, the contents of the subject should be consisted to improve the competence of the prospective teachers in student assessment. Therefore, the contents based on the standards of teacher's competence in student assessment are suggested in this paper. Third, teaching methods should be practiced by using exemplary samples of teacher's assessment on students in addition to lecture.

• Earthquakes and Structures
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• v.25 no.6
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• pp.469-479
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• 2023

A probabilistic seismic damage analysis is an essential procedure to identify seismically vulnerable structures, prioritize the seismic retrofit, and ultimately minimize the overall seismic risk. To assess the seismic risk of multiple structures within a region, a large number of nonlinear time-history structural analyses must be conducted and studied. As a result, each assessment requires high computing resources. To overcome this limitation, we explore a deep learning-based metamodel to enable the prediction of the mean and the standard deviation of the seismic damage distribution of track-on steel-plate girder railway bridges in Korea considering the geometric variation. For machine learning training, nonlinear dynamic time-history analyses are performed to generate 800 high-fidelity datasets on the seismic response. Through intensive trial and error, the study is concentrated on developing an optimal machine learning architecture with the pre-identified variables of the physical configuration of the bridge. Additionally, the prediction performance of the proposed method is compared with a previous, well-defined, response surface model. Finally, the statistical testing results indicate that the overall performance of the deep-learning model is improved compared to the response surface model, as its errors are reduced by as much as 61%. In conclusion, the model proposed in this study can be effectively deployed for the seismic fragility and risk assessment of a region with a large number of structures.

• Imaging Science in Dentistry
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• v.46 no.3
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• pp.211-216
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• 2016

Purpose: The use of electronic tools in teaching is growing rapidly in all fields, and there are many options to choose from. We present one such platform, Learning Catalytics$^{TM}$ (LC) (Pearson, New York, NY, USA), which we utilized in our oral and maxillofacial radiology course for second-year dental students. Materials and Methods: The aim of our study was to assess the correlation between students' performance on course exams and self-assessment LC quizzes. The performance of 354 predoctoral dental students from 2 consecutive classes on the course exams and LC quizzes was assessed to identify correlations using the Spearman rank correlation test. The first class was given in-class LC quizzes that were graded for accuracy. The second class was given out-of-class quizzes that were treated as online self-assessment exercises. The grading in the self-assessment exercises was for participation only and not accuracy. All quizzes were scheduled 1-2 weeks before the course examinations. Results: A positive but weak correlation was found between the overall quiz scores and exam scores when the two classes were combined (P<0.0001). A positive but weak correlation was likewise found between students' performance on exams and on in-class LC quizzes (class of 2016) (P<0.0001) as well as on exams and online LC quizzes (class of 2017) (P<0.0001). Conclusion: It is not just the introduction of technological tools that impacts learning, but also their use in enabling an interactive learning environment. The LC platform provides an excellent technological tool for enhancing learning by improving bidirectional communication in a learning environment.

• Journal of the Korean School Mathematics Society
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• v.15 no.1
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• pp.137-154
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• 2012

The purposes of this study are to develop the formative assessment program in geometry area for a 1st-grade class of middle school and to test the effect of this program. This formative assessment program was based on mathematics curriculum for the 1st graders of middle school. In addition, we examined how the 1st graders of middle school understand the geometric concepts by analyzing their response in the pretest and the posttest. This formative assessment program and the results of its analysis would be the useful information for the effective teaching and learning in geometry area for the 1st grades of middle school.