• Journal of Science Education
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• v.42 no.2
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• pp.132-147
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• 2018

The goal of this research is to suggest a theoretical process-centered assessment model based on Learning Progressions of key competencies in the context of STEAM instructions. The "Process-Products Combined Module-type (P2CM) STEAM Assessment Model (P2CM STEAM Assessment Model, hereafter) can be used both as an instructional model and as an assesment model, applicable for various STEAM topics and instructional types. consists of 3 axes. The first X axis stands for 4C competencies that should be emphasized through STEAM instruction. The second Y axis stands for the types and the hierarchy of STEAM instructions. The third Z axis stands for the assessment standards based on LP. We also exemplified an assessment module combined creativity competency with creativity-based instruction based on . Based on the research results, we suggested elaboration of assessment models based on Korean LP research outcomes, development and supply of formative assessment models through field-based in-depth research, modification of formative assessment models with the participation of teacher communities and in-service teachers, and the necessity of further research on assessment models for tracking LP.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.221-228
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• 2013

A number of research studies focus on the efficacy of using such as scenario based learning. However, desirable methods have not been introduced to assess the scenario based learning. This article is to suggest a fuzzy logic based framework for scenario base learning in which more reasonable learning effects are measured. It can be solved uncertain problems of linguistic variables. Also, we suggest three measures of accuracy, comprehensibility and completeness in order to evaluate accurate effects of scenario based learning. This assessment provides the scenario to the learner in which the scenario is presented in an authentic context, and enable the learner to reach an outcome through an adequate sequence and choices. This approach enables the system to present new scenarios and outcomes based on what a user selects. In particular, the application of fuzzy logic in scenario based learning can be easily pursued certain successful path or wrong path all the way through to reach major outcome in real situation.

• Journal of the Korean earth science society
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• v.32 no.5
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• pp.504-513
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• 2011

In this study, we investigated how elementary science teaching has changed with the introduction of the National Assessment of Educational Achievement (NAEA). Teachers are held accountable for student performance as measured by the mandatory nation-wide standards tests to satisfy the needs of accountability and quality assurance systems. In relation to the teaching of science in the elementary school, professionalism meets potential threats with the advent of national test. Through analysis of the classroom teaching and open-ended interviews, we explored the teacher's concerns about the national test and how their science classes have changed to prepare for this test. According to the results, the national test made elementary teachers accountable for the content of their science classes, limits teachers' autonomy in reconstruction of curriculum, and forced teachers to conduct conclusion-centered lessons even in elementary science classes. In addition, teachers argue that the national test precludes the possibility of differentiated education and differentiated assessment. Based on the results, we suggested a new professionalism in this accountability era, so called 'informed professionalism', which refers to the ability of teachers to interpret and implement curriculum and policy mandates at the local, school and classroom level to generate equitable and improved student outcomes through teaching and learning. We also suggested further research on the teacher professionalism in teaching science contents.

• Journal of Engineering Education Research
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• v.19 no.4
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• pp.83-88
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• 2016

In this paper, we surveyed from students and professors of Hanbat National University to examine the current state of running the introductory engineering design and to derive the direction of future improvements of the subject. A total of 783 students from nine departments and 12 professors who are in charge of the introductory engineering design participated in the present questionnaire evaluation. Outcome categories of the interest in their major and the learning of design theory appears relatively lower than other learning outcomes of the introductory engineering design course. Accordingly, it is determined that the theoretical aspects of designing should be emphasized in performing a team project. The design process, writing and presentation ability, teamwork theory are dealt in more than 70% of the departments, but engineering ethics, patent, visualization education had not been addressed in a number of departments due to their department characteristics. While a lesson outcome of the creativity resulted in the largest for the students, most of the professor feel difficult in increasing the creativity. It is urgent to develope of teaching methods in order to promote the creativity in the introductory engineering design course.

• Geomechanics and Engineering
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• v.30 no.2
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• pp.107-121
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• 2022

Coal pillar assessment is of broad importance to underground engineering structure, as the pillar failure can lead to enormous disasters. Because of the highly non-linear correlation between the pillar failure and its influential attributes, conventional forecasting techniques cannot generate accurate outcomes. To approximate the complex behavior of coal pillar, this paper elucidates a new idea to forecast the underground coal pillar stability using combined unsupervised-supervised learning. In order to build a database of the study, a total of 90 patterns of pillar cases were collected from authentic engineering structures. A state-of-the art feature depletion method, t-distribution symmetric neighbor embedding (t-SNE) has been employed to reduce significance of actual data features. Consequently, an unsupervised machine learning technique K-mean clustering was followed to reassign the t-SNE dimensionality reduced data in order to compute the relative class of coal pillar cases. Following that, the reassign dataset was divided into two parts: 70 percent for training dataset and 30 percent for testing dataset, respectively. The accuracy of the predicted data was then examined using support vector classifier (SVC) model performance measures such as precision, recall, and f₁-score. As a result, the proposed model can be employed for properly predicting the pillar failure class in a variety of underground rock engineering projects.

• Geomechanics and Engineering
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• v.31 no.3
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• pp.265-279
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• 2022

Tunnel convergence prediction is essential for the safe construction and design of tunnels. This study proposes five machine learning models of deep neural network (DNN), K-nearest neighbors (KNN), Gaussian process regression (GPR), support vector regression (SVR), and decision trees (DT) to predict the convergence phenomenon during or shortly after the excavation of tunnels. In this respect, a database including 650 datasets (440 for training, 110 for validation, and 100 for test) was gathered from the previously constructed tunnels. In the database, 12 effective parameters on the tunnel convergence and a target of tunnel wall convergence were considered. Both 5-fold and hold-out cross validation methods were used to analyze the predicted outcomes in the ML models. Finally, the DNN method was proposed as the most robust model. Also, to assess each parameter's contribution to the prediction problem, the backward selection method was used. The results showed that the highest and lowest impact parameters for tunnel convergence are tunnel depth and tunnel width, respectively.

• Korean Journal of Comparative Education
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• v.27 no.3
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• pp.101-127
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• 2017

The purpose of this study is to analyze how the debates on learning and learning outcomes in global education agendas have changed and to understand the discourses and issues about learning under the agendas, and finally based on the understanding, to know what is the implication we should take in international education development cooperation in Korea. To do this, this study critically analyzed 1) what is the main features and directions, and 2) the method and limitation in handling learning concept on three major global education forums which are Jomtien global education forum in 1990, Dakar in 2000, and Incheon in 2015. Major finding shows that there are little learning concept discussed in Jomtien and Dakar forums and in SDGs education agenda, learning is vaguely defined and discussed and there are problems of too much focus on learning outcomes itself and absence of study on proper assessment system. Major lessons and implications for international education development cooperation could be stated that postcolonial perspectives and learner centered approaches is required in developing countries's education ecology. And continuous support for sustainable development for learners' capacity should be underlined. We needs to focus on developing software not hardware from the first of educational ODA. Finally, it is needed to embed within pedagogical approaches.

• Journal of the Korea Institute of Building Construction
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• v.24 no.3
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• pp.363-370
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• 2024

The escalating frequency and intensity of natural disasters and extreme weather events due to climate change have caused increasingly severe damage to societal infrastructure and buildings. Government agencies and private companies are actively working to evaluate these damages, but existing technologies and methodologies often fall short of meeting the practical demands for accurate assessment and prediction. This study proposes a novel approach to assess building damage resulting from natural disasters, focusing on typhoons-one of the most devastating natural hazards experienced in the country. The methodology leverages deep learning algorithms to evaluate typhoon-related damage, providing a comprehensive framework for assessment. The framework and outcomes of this research can provide foundational data for the evaluation of natural disaster-induced damage over the entire life cycle of buildings and can be applied in various other industries and research areas for assessing risk of damage.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.2
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• pp.175-186
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• 2014

Dream Start Project purposes to provide equal opportunity for the child in the poverty. This project is conducted the last six years, there are voices of worry for the limit of the project performance. Therefore, this study aims to analyse the effectiveness of project and suggest activation plan of Dream Start from the viewpoint of users. This study use focus group interview to explore needs assessment for development of Dream Start Project. In conclusion, the project provides positive outcomes for children and their parents in terms of psychology, education and health etc. Children have increased their basic learning ability through the learning support. They have improved confidence and positiveness. The vaccine was as effective in health promotion. Dream Start had the effect of raising community consciousness. The relationship between children and their parents were smoothly through parent education. Free learning support has brought the economic effects. This project had the effect of improving welfare consciousness of the parents. This study presents the development plan of the business to reflect the users' assessment.

• Korean Medical Education Review
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• v.20 no.3
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• pp.164-172
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• 2018

The aim of this study is to determine whether the 65 competencies, defined in "the role of Korean doctor, 2014", are suitable for basic medical education phase in Korea. It seeks to analyze the gap among the educational reality and expectation, assessment situation of the competencies above. We also try to define issues of the development, application and assessment phases of competency-based medical education (CBME) at individual medical schools. We designed survey tools based on the Miller's assessment pyramid (knowledge, explanation, demonstration, and performance) for each of the 65 competencies. The survey distributed to 41 medical schools in April 2015 and 38 replies were received (92.7%). Competencies that matched both the educational reality and expectation were numbers 1 (patient care), 33 (social accountability), and 49 (professionalism). However, all the other competencies ranked lower in current status than that of desirable level. 54 out of 65 competencies (83.07%) remained at the knowledge and explanation level when each competence were assessed. In the development, application, and assessment phases of CBME, common issues that medical schools commonly noted were difficulty linking competencies to curriculum preparation and student assessment, the lack of faculty's understanding, difficulty to reach consensus among faculties, and absence of teaching and learning methods and assessment tools that fits CBME. For the successful settle down of CBME, there is a need for efforts to develop the model of graduate outcomes, to share information and experience, and to operate faculty development program by the medical education communities.