• Journal of The Korean Association For Science Education
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• v.43 no.2
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• pp.99-110
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• 2023

In this study, in order to strengthen the AI utilization competency of pre-service secondary science teachers, a project activity in which pre-service teachers directly create an 'AI-based molecular structure customized learning support tool' by using Google's teachable machine was developed and applied. To this end, the program developed for 26 third-grade pre-service teachers enrolled in the Department of Chemistry Education at H University in Chungcheongbuk-do was applied for 14 sessions during extracurricular activities. Then, the perceptions of 'understanding how AI works', 'efficacy of using AI in science classes', and 'plans to utilize AI in science classes' were investigated. As a result of the study, it was found that the program developed in this study was effective in helping pre-service teachers understand the operating principle of AI technology for machine learning at a basic level and learning how to use it. In addition, the program developed in this study was found to be effective in increasing the efficacy of pre-service teachers for the use of AI in science classes. And it was also found that pre-service teachers recognized the aspect of using AI technology as a new teaching·learning strategy and tool that can help students understand science concepts. Accordingly, it was found that the program developed in this study had a positive impact on pre-service teachers' AI utilization competency reinforcement and perception improvement at the basic level. Implications of this were discussed.

• Journal of the Korean earth science society
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• v.21 no.4
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• pp.359-368
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• 2000

The purpose of this study is to develope and apply NIE programs related to sub-chapter 'The Change of Weather and Circulation of Water' in 2nd grade science text book of middle school, and thereby to investigate the effects of NIE approach on science-related attitude and teaming achievement of students, and interaction between treatment methods and students' learning ability. Subjects consisted of 2nd grade students of four classes in a girls middle school located at the southern part of Seoul. Four classes were divided into experimental and control groups by two classes randomly. The experimental groups have been instructed on the related-general concepts for six times and then received seven NIE programs developed by researcher for seven times. The control groups have received the instruction through the conventional teaching method. The NIE learning has been progressed following the steps using in the Iowa Chautaugua Program, e.g. invite, explore, propose explanation and solutions, and take action. NIE programs, e.g. project studying, topic studying and a crossword puzzle have been developed and applied using 'science first' approach of the STS instruction. Twenty questions related to social implications of science and leisure interest in science within seven frameworks of TOSRA have been used in this study as an evaluation instrument of science-related attitude. Learning achievement has been evaluated using an instrument developed by researcher. The results of this study can be summarized as follows. (1) NIE approach was more effective in progressing learning achievement of middle school students than conventional teaching method (p<.01). (2) Experimental groups show statistically significant improvement on science-related attitude than control groups (p<.01). There were no significant interactions between treatment methods and students' learning ability on learning achievement and leisure interest in science. The NIE approach were more effective than the conventional one on social implications of science, especially to low ability students.

• Journal of The Korean Association For Science Education
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• v.30 no.8
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• pp.1002-1016
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• 2010

The purpose of this study is to investigate beginner and experienced Korean science teachers' perceptions about the science teacher preparation courses from which they graduated, and to compare them. The study was conducted as a qualitative study using in-depth interviews. For the study, interview questions were developed by the authors based on the questionnaire of 'The IMPPACT project' that was being conducted in America. The interview tool includes questions about their experience of science subject matter content knowledge, science pedagogical content knowledge, and general pedagogical content knowledge in their preparation courses. For the interview, seven beginning science teachers, less than five years of teaching experience, and five experienced science teachers, more than five years of teaching experience, were sampled from secondary schools in Korea. The research results are as follows: First, most of the beginner and experienced science teachers perceived that the teaching methods in the classes of science subject matter were not good model for teaching science in their secondary school, because they were not diverse enough and entailed mostly knowledge transfer just through lecture without teacher-student interaction. Second, most of the beginner science teachers perceived that they were affected positively by the teaching strategies and evaluation methods in the classes for science pedagogical subject matter and they could apply those strategies and methods in their current science teaching. Lastly, most of the beginner and experienced science teachers perceived that general pedagogical subject matter is important and prerequisite for science teaching in their schools, but the courses that they experienced at their university were not appropriate for their current teaching.

• Journal of Korean Home Economics Education Association
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• v.34 no.1
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• pp.131-149
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• 2022

The purpose of this study is to explore what value home economics education should pursue to be established as an essential subject in the 'with-/post Covid-19 era', and to suggest directions for the development of the future. To this end, first of all, changes in the future society symbolized by the with-/post- Covid-19 era were diagnosed through literature review. Moreover, the 'OECD Education 2030' project and Korea's 'Educational Vision 2045', which identified the purpose of education in response to changes in the future, were considered. Furthermore, the teleology of education of John White, a British educational philosopher, was contemplated. As a result, the purpose of education for the future society is considered to be changing toward the well-being of society and individuals, and efforts such as the development of a well-being subject are being made in various countries for this purpose. While several a number of strategies are possible for the implementation of well-being education in Korea, this study argues that the easiest way is to strengthen home economics education that already exists as a subject. In addition, the main value of home economics education as an essential subject in the with-/post-Covid-19 era is evaluated to lie in the fact that this subject helped society and individuals cultivate diverse competencies necessary to pursue well-being. Finally, this study suggests a conceptual framework necessary to develop a discourse on home economics education as 'happiness and well-being education.' Additionally, a conceptual framework describing the unique thinking and execution process that learners will represent in the course of learning of home economics that implements well-being education is suggested. In the follow-up studies, it is expected that the discourse on well-being education in home economics education will be verified by empirical studies.

• Journal of The Korean Association For Science Education
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• v.34 no.1
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• pp.10-20
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• 2014

This study compares the perceptions of elementary gifted child and science teacher in a science class for the gifted. In order to explore the research problem, students and teachers answered a written semi-structured questionnaire and participated in interviews regarding the gifted science class. The data was collected and analyzed. Science teachers recognized the characteristics of a good science class, especially in terms of educational content and teaching methodology. First, they suggested promoting inquiry skills, presenting a challenging task in atypical topic selection, student-centered curriculum, and controlling the pace of learning to recognize individual differences. Second, in terms of the science class skills and attitudes category, teachers recommended raising mutual satisfaction through vigorous interaction within a permissible atmosphere. Finally, science teachers need to strive for continued professional growth. Gifted children, meanwhile, want to investigate a wide range of topics without time constraints. Additionally, they may have to explore challenging topics further. They prefer to act like scientists in that they enjoy group activities, communication and cooperation. In particular, they want to be evaluated by others in a totally embedded assessment. Gifted children also expect teachers to understand the life circumstances and needs of the students. In addition, they asked for teachers to respect individual experiments and to show them how to safely use new equipment or research methods. As a result, gifted children and science teachers have to recognize the differences of opinion concerning a good science class for the gifted. This study can help formulate strategies to establish quality management of materials in gifted science classes.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.561-571
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• 2016

Purpose: This study reviewed the innovative educational strategies that have been implemented successfully in US baccalaureate nursing education programs to facilitate appropriate attitudes about caring for older adults. Methods: The data were collected through a search of PubMed and CINAHL using the key words, gerontological or geriatric, attitudes about aging or older people, baccalaureate or undergraduate nursing education or curriculum. Results: The successful strategies are categorized as follows: 1) a multidisciplinary approach integrating aging issues and gerontological contents into diverse nursing courses, 2) active participation of community-dwelling healthy older individuals as an educational mentor, 3) use of audiovisual materials to investigate the misconceptions and attitudes about aging, and 4) discussion through critical thinking and self-reflection toward aging. Implications: For the interdisciplinary approach within nursing courses, it is essential to derive the key contents for gerontological nursing applicable to integration into diverse nursing courses. In addition, it is necessary to provide administrative support for implementing innovative strategies and constructing consistent partnerships with the community for active participation of the elderly as a mentor. Lastly, recognizing the significance of educational strategies for enhancing desirable attitudes toward gerontological nursing and supporting the development of educational capability of a faculty are key issues.

• Journal of Intelligence and Information Systems
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• v.26 no.4
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• pp.27-65
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• 2020

Many companies on information and communication technology make public their own developed AI technology, for example, Google's TensorFlow, Facebook's PyTorch, Microsoft's CNTK. By releasing deep learning open source software to the public, the relationship with the developer community and the artificial intelligence (AI) ecosystem can be strengthened, and users can perform experiment, implementation and improvement of it. Accordingly, the field of machine learning is growing rapidly, and developers are using and reproducing various learning algorithms in each field. Although various analysis of open source software has been made, there is a lack of studies to help develop or use deep learning open source software in the industry. This study thus attempts to derive a strategy for adopting the framework through case studies of a deep learning open source framework. Based on the technology-organization-environment (TOE) framework and literature review related to the adoption of open source software, we employed the case study framework that includes technological factors as perceived relative advantage, perceived compatibility, perceived complexity, and perceived trialability, organizational factors as management support and knowledge & expertise, and environmental factors as availability of technology skills and services, and platform long term viability. We conducted a case study analysis of three companies' adoption cases (two cases of success and one case of failure) and revealed that seven out of eight TOE factors and several factors regarding company, team and resource are significant for the adoption of deep learning open source framework. By organizing the case study analysis results, we provided five important success factors for adopting deep learning framework: the knowledge and expertise of developers in the team, hardware (GPU) environment, data enterprise cooperation system, deep learning framework platform, deep learning framework work tool service. In order for an organization to successfully adopt a deep learning open source framework, at the stage of using the framework, first, the hardware (GPU) environment for AI R&D group must support the knowledge and expertise of the developers in the team. Second, it is necessary to support the use of deep learning frameworks by research developers through collecting and managing data inside and outside the company with a data enterprise cooperation system. Third, deep learning research expertise must be supplemented through cooperation with researchers from academic institutions such as universities and research institutes. Satisfying three procedures in the stage of using the deep learning framework, companies will increase the number of deep learning research developers, the ability to use the deep learning framework, and the support of GPU resource. In the proliferation stage of the deep learning framework, fourth, a company makes the deep learning framework platform that improves the research efficiency and effectiveness of the developers, for example, the optimization of the hardware (GPU) environment automatically. Fifth, the deep learning framework tool service team complements the developers' expertise through sharing the information of the external deep learning open source framework community to the in-house community and activating developer retraining and seminars. To implement the identified five success factors, a step-by-step enterprise procedure for adoption of the deep learning framework was proposed: defining the project problem, confirming whether the deep learning methodology is the right method, confirming whether the deep learning framework is the right tool, using the deep learning framework by the enterprise, spreading the framework of the enterprise. The first three steps (i.e. defining the project problem, confirming whether the deep learning methodology is the right method, and confirming whether the deep learning framework is the right tool) are pre-considerations to adopt a deep learning open source framework. After the three pre-considerations steps are clear, next two steps (i.e. using the deep learning framework by the enterprise and spreading the framework of the enterprise) can be processed. In the fourth step, the knowledge and expertise of developers in the team are important in addition to hardware (GPU) environment and data enterprise cooperation system. In final step, five important factors are realized for a successful adoption of the deep learning open source framework. This study provides strategic implications for companies adopting or using deep learning framework according to the needs of each industry and business.