• Journal of Families and Better Life
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• v.22 no.2
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• pp.59-67
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• 2004

As we enter into the 21C, it is important to reassess the knowledge and skills that are necessary for individual consumers and consumer professionals to be able to function efficiently in the rapidly changing society, and also to develop teaching tools fit to enhance the teaming of such knowledge and skills. The Purpose of this study is three-folds: 1) to identify key competencies necessary in the 21C consumer education, especially in higher education institutions, 2) to suggest 'experiential learning' as an ideal pedagogical tool for consumer education in the 21C century, and 3) to provide an example from an undergraduate classroom in the U.S. that applies 'service learning' as a teaching tool in a consumer studies curriculum. Discussions about the potentials for expanding this learning strategy are also provided.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.7 no.4
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• pp.82-95
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• 2008

As society has changed to being more knowledge-based, it is necessary that change of paradigm is incorporated into engineering education and the education goals and the assessment method of educational outcomes is developed to promptly meet the needs of the times. A purpose of this study is to measure learning outcomes in coursework of engineering college every semester, which ultimately provides to validate program outcomes. We looked into teaching-learning style of course in the engineering college and analyzed its grade method and tool. By use of a survey, we derived a reasonable method to measure for the learning outcomes in course and presented tools for course-embedded assessment to measure that learning outcomes had been tied to their objectives. These tools are effective to determine that program outcomes and education goals have been achieved, ultimately. In addition, it will help that instruction builds a loop system for better.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.200-206
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• 2020

Digital storytelling, a 21st century educational tool that combines digital media with storytelling, is considered as a powerful tool to learn foreign languages in an authentic and meaningful way. This study explored cyber university students' perceptions and experiences with a digital storytelling project implemented to enhance their English writing and speaking skills. The results of 9 week-long research indicated that most of the students' attitudes were positive: the digital storytelling project was effective to increase their English skills, learning motivation and interest in learning English. Most students perceived that the process writing approach and videotaping tasks provided them with good opportunities to develop their English writing and speaking skills. Although many students had difficulties selecting a topic and writing a script in the initial stage, they could handle with these challenges with the help of professors' feedback and successfully completed their projects. After completing the project, most students expressed a strong sense of accomplishment. These results suggest that the digital storytelling project effectively met cyber university students' learning needs and facilitate their English learning.

• The Journal of the Korea Contents Association
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• v.11 no.2
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• pp.495-506
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• 2011

Portfolio has recently come to gain more attention from school as an alternative evaluation tool and a self-reflective learning tool for learning. After literature reviews about the case studies on the use of portfolio in higher education including both universities in Korea and abroad, this study attempted, first, to analyze the current e-portfolio system running in Kyung Hee University for the undergraduate students starting from the spring semester, 2010, and then, suggested the ways the system can be more actively utilized among the students, and simultaneously, acquiring more interest and participation from both the faculty members and the school administrators. The data collected from the survey and reflective journals of the students suggested 1) more user-friendly, easy-to-edit version of the system, 2) more diverse modes and functions of the system which, therefore, are able to adjust well to the specific and unique features of subjects or majors of the students, and 3) collaborative learning environments among the students and between the students and the faculty members from which students can share, participate, interact with each other, getting useful feedback from those co-learners and faculty members. Eventually the study aimed to enhance the recognition of the participants about the importance of portfolio as a learning tool for self-reflective learning and authentic evaluation of the students.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10d
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• pp.391-393
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• 2002

최근 가상교육에서 학습 기술의 상호 운용성을 기반으로 한 표준화의 필요성을 인식하고 여러 국제표준기관을 통해서 기반 환경과 컨텐트 명세 및 활용에 대한 표준화 작업이 이루어지고 있다. 이로 인해 e-learning 분야에서는 국제표준을 소개하고 체제적으로 AICC(Aviation Industry CBT Committee), IMS(Instructional Management Systems) Global Learning Consortium, ADL(Advanced Distributed Learning)을 중심으로 진행되어 오고 있다. 특히, 미래의 진보적인 e-learning 환경 개발로, 기능별 5계층으로 구성된 LTSA(Learning Technology Standard Architecture)를 제정하고 이를 통한 개발을 지원하고 있다. 하지만, 이는 시스템 구성요소를 정의한 계층 3의 경우 데이터 흐름 모델로 작성되어 현재 개발 수준과 일치하지 않는 문제점을 가지는 모델로 인정한다. 본 논문에서는 표준 모델링 언어인 UML(Unified Modeling Language)을 통해 모델을 재정의하고, 각 프로세스별 단계를 메타모델로 제시하여 개발과 아키텍처의 이해에 대한 문제점을 해결하고자 한다. 또한, 재정의된 모델을 기반으로 e-learning 지원을 위한 분석, 설계 프로세스를 정의하여 이에 대한 사례를 제시한다. 이는 아키텍처를 기반으로 한 메타모델과 프로세스를 통한 교육영역의 질의 응답 학습 도구인 QALT(Query-Answer Learning Tool)에 적용한다. 모델의 재정의로 아키텍처의 이해성 및 이를 기반으로 하는 교육용 애플리케이션 개발의 용이성의 증대를 기대할 수 있으며, 모델의 재사용성을 보장할 수 있다.

• Journal of Fisheries and Marine Sciences Education
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• v.17 no.2
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• pp.252-259
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• 2005

In this research, as an educational tool in the Refrigeration instruction, a project learning method was applied which enables active hand on practice and encourages a more active participation of students with an increased level of interest in learning. The purpose of this study is to present project learning method as an educational tool that can arouse interest and motivation of students by an active hands-on learning process. This will aid in the enhancement of understanding of educators and students in the project learning method, and assist in development of project learning method that can increase intuitiveness and originality of students. For the purpose of the study, the following questions were asked. First, what is the level of existing knowledge pertaining to Refrigeration Training Program of students? Second, what effect does Refrigeration Training Program conducted via the project approach have on the level of motivation and interest of students? Third, what effect does Refrigeration Training Program conducted via the project approach have on the study habits of students?

• Journal of Educational Research in Mathematics
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• v.8 no.2
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• pp.453-474
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• 1998

This study is focused on the possibility if we can use graphic calculators in teaching and learning school mathematics. This study is consisted with four main chapters. In chapter II, the functions of the graphic calculator EL-9600 produced by Sharp Corporation was analyzed focused on the possibilities if the functions could be used in teaching and learning school mathematics. Calculating of real numbers and complex numbers, solving equations and system of linear equations, calculating of matrices, graphing of several functions including polynomial functions, trigonometric functions, exponential and logarithmic functions, calculation of differential and integrals, arranging of statical data, graphing of statistical data, testing of statistical hypotheses, and other more useful functions were founded. In Chapter III, a mathematics textbook developed by Core-Plus Mathematics Project was analyzed focused on how a graphic calculator was used in teaching and learning mathematics, In the textbook, graphic calculator was used as a tool in understanding mathematical concepts and solving problems. Graphic calculator is not just a tool to do complex computations but a tool used in the processes of doing mathematics, In chapter IV, the 7th mathematics curriculum for korean secondary schools was analyzed to find the contents could be taught by using graphic calculators. Most of the domains, except geometric figure, were found that they could be taught by using graphic calculators, In chapter V, a model of a unit using graphic calculator in teaching 7th mathematics curriculum was developed. In this model, graphic calculator was used as a tool in the processes of understanding mathematical concepts and solving problems. This study suggests the possibilities that we can use graphic calculators effectively in teaching and learning mathematical concepts and problem solving for most domains of secondary school mathematics.

• Journal of Korean Medical Science
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• v.33 no.43
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• pp.239.1-239.12
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• 2018

Background: We described a novel multi-step retinal fundus image reading system for providing high-quality large data for machine learning algorithms, and assessed the grader variability in the large-scale dataset generated with this system. Methods: A 5-step retinal fundus image reading tool was developed that rates image quality, presence of abnormality, findings with location information, diagnoses, and clinical significance. Each image was evaluated by 3 different graders. Agreements among graders for each decision were evaluated. Results: The 234,242 readings of 79,458 images were collected from 55 licensed ophthalmologists during 6 months. The 34,364 images were graded as abnormal by at-least one rater. Of these, all three raters agreed in 46.6% in abnormality, while 69.9% of the images were rated as abnormal by two or more raters. Agreement rate of at-least two raters on a certain finding was 26.7%-65.2%, and complete agreement rate of all-three raters was 5.7%-43.3%. As for diagnoses, agreement of at-least two raters was 35.6%-65.6%, and complete agreement rate was 11.0%-40.0%. Agreement of findings and diagnoses were higher when restricted to images with prior complete agreement on abnormality. Retinal/glaucoma specialists showed higher agreements on findings and diagnoses of their corresponding subspecialties. Conclusion: This novel reading tool for retinal fundus images generated a large-scale dataset with high level of information, which can be utilized in future development of machine learning-based algorithms for automated identification of abnormal conditions and clinical decision supporting system. These results emphasize the importance of addressing grader variability in algorithm developments.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.259-267
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• 2021

Machine translators first appeared in the 1950s and made a leap in translation accuracy by applying the neural translation system in the 2010s. However, it is still having difficulty in translating complex sentences, which made it inconvenient to use machine translators as an English learning tool. Therefore, this study analyzed the usability of a machine translator as an English learning tool through a backtranslation experiment of as phrases. As analysis tools, Google Translator, Naver Papago, and Microsoft Translator, were used since they are representative machine translators using a neural translation system. As a result of the study, findings are: The usability was significantly different according to each as usage when using a machine translator. Accordingly, as usages in sentences were classified into high, ordinary, and low usability. Unlike previous studies, this study has a research contribution in analyzing the machine translator as a direct learning tool and quantifying the usability of the conjunction as.

• International Journal of Advanced Culture Technology
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• v.10 no.3
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• pp.360-370
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• 2022

Demand for machine learning systems continues to grow, and cloud machine learning platforms are widely used to meet this demand. Recently, the performance improvement of the application processor of smartphones has become an opportunity for the machine learning platform to move from the cloud to On-Device AI, and mobile applications equipped with machine learning functions are required. In this paper, machine learning tools for mobile applications are investigated and compared the characteristics of these tools.