• Journal of the Korean earth science society
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• v.23 no.2
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• pp.166-179
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• 2002

This study investigated preservice teachers' perceived constraints in implementing their ideal pedagogies and the influence of the teacher education program on their pedagogical beliefs changes. Unique features that the university-based coursework and field experiences had on preservice teachers' learning to teach were also explored. This preservice teacher education program employs constructivist aspects of teacher education and generates applications of constructivism to the practice of teaching. Major findings include: preservice teachers' having traditional pedagogy as the default, recovery of prior beliefs, constraints on implementing constructivist pedagogy, and being overly confident in themselves as teachers. With the influence of constructivist epistemology, these preservice teachers' pedagogical beliefs evolved and were refined over time as they incorporated various constructivist ideas. The benefits and influences of the M.Ed. program's theoretical coursework and the field experiences on these teachers' learning-to-teach experiences are addressed with rich data. The implications for teacher educators as well as for the instructional practices of preservice teacher education programs are discussed. Recommendations for future research are also presented.

• Journal of the Korean Institute of Educational Facilities
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• v.18 no.5
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• pp.43-50
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• 2011

There are emerging issues to update the educational environment for schools in terms of information and communication technology in order to provide customized programs to students as well as all participants relating to learning and teaching. The past year has been turbulent as the education facilities has changed and new procurement processes such as BTL have emerged. In this study, the feasibility analysis of ICT for the public educational environment is to analyse the current primary schools by means of collecting parent's opinion. In the web-site questionnaires, it was designed with 70 items such as teaching method, class organization, aptitude drill and educational community. As results, the statistical analysis is to propose the list of priority and orientation covering social agenda in the issue of ICT for education, the benefits schools can achieve by smart environment is to have the advanced learning services and solutions that represents parental engagement with identical local aims of interactive interface between their students and qualified teachers at a school. Both the national curriculum as well as the after-school program initiatives from the ministry of education, science and technology may reduce negative effects of private education so that the program has to be carefully developed for balanced education society revitalizing mutual communication within regional learning participants such as students, teachers and educational experts.

• Investigative Magnetic Resonance Imaging
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• v.25 no.3
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• pp.156-163
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• 2021

Recently, neuromelanin and nigrosome imaging techniques have been developed to evaluate the substantia nigra in Parkinson's disease. Previous studies have shown potential benefits of quantitative analysis of neuromelanin and nigrosome images in the substantia nigra, although visual assessments have been performed to evaluate structures in most studies. In this study, we investigate the potential of using deep learning based automatic region segmentation techniques for quantitative analysis of the substantia nigra. The deep convolutional neural network was trained to automatically segment substantia nigra regions on 3D nigrosome and neuromelanin sensitive MR images obtained from 30 subjects. With a 5-fold cross-validation, the mean calculated dice similarity coefficient between manual and deep learning was 0.70 ± 0.11. Although calculated dice similarity coefficients were relatively low due to empirically drawn margins, selected slices were overlapped for more than two slices of all subjects. Our results demonstrate that deep convolutional neural network-based method could provide reliable localization of substantia nigra regions on neuromelanin and nigrosome sensitive MR images.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.6
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• pp.2018-2043
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• 2022

Nowadays, COVID-19 infections are influencing our daily lives which have spread globally. The major symptoms' of COVID-19 are dry cough, sore throat, and fever which in turn to critical complications like multi organs failure, acute respiratory distress syndrome, etc. Therefore, to hinder the spread of COVID-19, a Computerized Doughty Predictor Framework (CDPF) is developed to yield benefits in monitoring the progression of disease from Chest CT images which will reduce the mortality rates significantly. The proposed framework CDPF employs Convolutional Neural Network (CNN) as a feature extractor to extract the features from CT images. Subsequently, the extracted features are fed into the Adaptive Dragonfly Algorithm (ADA) to extract the most significant features which will smoothly drive the diagnosing of the COVID and Non-COVID cases with the support of Doughty Learners (DL). This paper uses the publicly available SARS-CoV-2 and Github COVID CT dataset which contains 2482 and 812 CT images with two class labels COVID⁺ and COVI^-. The performance of CDPF is evaluated against existing state of art approaches, which shows the superiority of CDPF with the diagnosis accuracy of about 99.76%.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.10-16
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• 2023

The ever-increasing amount of data generated by various industries and systems has led to the development of data mining techniques as a means to extract valuable insights and knowledge from such data. The electrical energy industry is no exception, with the large amounts of data generated by SCADA systems. This study focuses on the analysis of historical data recorded in the SCADA database of the Libyan Electricity Company. The database, spanned from January 1st, 2013, to December 31st, 2022, contains records of daily date and hour, energy production, temperature, humidity, wind speed, and energy consumption levels. The data was pre-processed and analyzed using the WEKA tool and the Apriori algorithm, a supervised machine learning technique. The aim of the study was to extract association rules that would assist decision-makers in making informed decisions with greater efficiency and reduced costs. The results obtained from the study were evaluated in terms of accuracy and production time, and the conclusion of the study shows that the results are promising and encouraging for future use in the Libyan Electricity Company. The study highlights the importance of data mining and the benefits of utilizing machine learning technology in decision-making processes.

• The Journal of Korean Association of Computer Education
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• v.22 no.5
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• pp.1-9
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• 2019

A physical computing education is helpful for enhancing learners' computational thinking, creativity, and collaborative problem solving ability and so on. Recently, it is being actively promoted according to the software education policy and the 2015 revised national curriculum in Korea. This study describes a meta-synthesis of research on physical learning education that investigates the extent to which there is evidence of benefits and challenges for physical computing education. 37 articles were identified, and 20 articles met the inclusion criteria. The synthesis resulted in the list of purposes, teaching and learning methods, and physical computing tools, and benefits of physical computing education.

• Journal of the Korean earth science society
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• v.31 no.5
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• pp.500-520
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• 2010

The purposes of this case study were (1) to explore one experienced teacher's views on Earth Systems Education and (2) to describe and document the characteristics of the Earth Systems Education (ESE) curriculum provided by an exemplary middle school science teacher, Dr. J. All the essential pieces of evidence were collected from observations, interviews with the experienced teacher and his eighth grade students, informal conversations, document analysis, and field notes. The $NUD^*IST$ for MS Windows was used for an initial data reduction process and to narrow down the focus of an analysis. All transcriptions and written documents were reviewed carefully and repeatedly to find rich evidence through inductive and content analysis. The findings revealed that ESE provided a conceptual focus and theme for organizing his school curriculum. The curriculum offered opportunities for students to learn relevant local topics and to connect the classroom learning to the real world. The curriculum also played an important role in developing students' value and appreciation of Earth systems and concern for the local environment. His instructional strategies were very compatible with recommendations from a constructivist theory. His major teaching methodology and strategies were hands-on learning, authentic activities-based learning, cooperative learning, project-based learning (e.g., mini-projects), and science field trips. With respect to his views about benefits and difficulties associated with ESE, the most important benefit was that the curriculum provided authentic-based, hands-on activities and made connections between students and everyday life experiences. In addition, he believed that it was not difficult to teach using ESE. However, the lack of time devoted to field trips and a lack of suitable resource materials were obstacles to the implementation of the curriculum. Implications for science education and future research are suggested.

• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.288-297
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• 2017

Online education is a new domain of learning that combines distance learning with the practice of face-to-face instruction utilizing computer-mediated communication. As technology continues to develop and the needs of teachers require better access to higher learning, online graduate degree programs can be a valid alternative. Some institutions in the United States have already offered graduate degrees in music education through the online distance learning. In this study, 8 accredited online graduate degree programs in music education were identified in terms of curriculum requirement, program requirement, and admission requirement. Online programs offer considerable benefits of convenience, while their drawbacks relates to the quality of learning, feelings of weaker interpersonal interaction. More researches need in order for online music programmers to achieve higher standards of instruction and to inform other disciplines in the fields of arts education and the performing arts.

• Journal of the Korean earth science society
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• v.38 no.5
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• pp.357-366
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• 2017

Urban planning and engineering undergraduate students need to understand the earth physical systems and that how human beings interact with the earth systems to planning and engineering urban area. The eco-friendly or geo-friendly design and planning of an urban area is a critical issue not only for economic benefits but more importantly for the sustainable future of urban life. However, little study has been done dealing with the urban engineering students' understanding of the earth as a system and what pedagogical approach is appropriate to improve their understanding of the earth as a system. This study is to investigate the impact of a purposely designed ESS course on urban engineering students' understanding of the earth as a system and their perceptions about the instructional approaches of the course on their learning competency. This study utilized a mixed-methodology with three main data sources: concept maps, student's perception survey about their learning competency, and course contents. Both the survey and concept maps were analyzed quantitatively as well as qualitatively. The result of this study showed that the urban engineering students' experience of team-based research about the topic they chose based on their own interest had a positive impact on their understanding of the earth as a system and their learning competency. The results of this study suggest that structuring and presenting the earth system contents in the context of engineering students' understanding and their future career be effective not only for the improvement of students' content knowledge but also for the enhancement of their learning competency such as creativity and problem-solving skills in everyday life situation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.8
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• pp.5232-5239
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• 2015

The purpose of this study is to examine university student's awareness and utilization plan of Smart Learning of the university education. For this purpose, a needs analysis is performed through a survey of 345 university students. Through the survey, first, students of media devices, including the average daily usage time of four hours at the most common smart devices, the intended use was used SNS, games and entertainment, datebook, and more. Second, the benefits of the smart learning, which students learn to recognize the challenges and reducing the burden most common obstacle was the difficulty in immersion classes. Third, the demand for university education smart learning, the most common opinion about the classroom building. On the basis of the above research findings, the utilization plans are proposed.