• KIISE Transactions on Computing Practices
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• v.21 no.5
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• pp.351-358
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• 2015

As smart phones with built-in sensors are developed, research on recognition using wearable devices is increasing. Existing papers are mostly limited on research to personal activity recognition. In this paper, we propose a method to recognize conceptual group activity. Before doing recognition, we generate new data based on the analysis of the conceptual group activity in a classroom. The study focuses on three activities in the classroom environment: Taking Lesson, Doing Presentation and Discussing. With the proposed algorithm, the recognition rate is over 96%. Using this method in real time will make it easy to automatically analyze the activity and the purpose of the classrooms. Moreover, it can increase the utilization of the classroom through the data analysis. Further research will focus on group activity recognition in other environments and the design of an group activity recognition system.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.75-88
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• 2021

Along with the advent of the Fourth Industrial Revolution, fostering young talents with convergent mind is getting important. Moreover pre-service teachers' ability to design proper convergent classes can be a meaningful issue for high quality future education. This study proposes the role of professors' exquisite feedback is so significant for developing their competence in STEAM education, It analyzed how various theories regarding feedback support them to enhance convergent knowledge with e-learning. They participated in the 5 step group and individual activities for creating STEAM lesson plan and received suitable feedback. Lastly a survey was performed. The researchers did modeling how integrative feedback was applied to the procedure step by step according to the 'Ladder of Inference' theory. This strategic model contributed to elevating the participants' convergent knowledge, competence, achievement and satisfaction.

• The Journal of Korean Academic Society of Nursing Education
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• v.28 no.3
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• pp.223-235
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• 2022

Purpose: This study aimed to explore nursing students' experience with community-linked nursing education programs. Methods: This study utilized a qualitative content analysis. Participants were 55 sophomore nursing students. The community-linked nursing education program was conducted for eight weeks using the Analysis, Design, Development, Implementation, Evolution (ADDIE) model. Data were collected from 55 reflection records and five individual interviews and then analyzed through the three steps of qualitative content analysis, coding, condensing, and categorizing. Results: Twelve categories, 26 subcategories, and six topics emerged. The themes of impression and lesson from the community-linked nursing education programs were "recognizing the importance of professional competence in performing the role of nurse," "recognizing the need for leadership and cooperation in nursing practice," and "increased awareness of the role as a nursing professional for community residents." The themes of the strategies used were "looking at the goal and moving forward," and "aligning differences and working together with team/community members." The theme of strategies for the advancement of community-linked nursing education programs was "establishing a sustainable student-participating community-linked education program." Conclusion: The community-linked nursing education programs made students aware of the necessary competencies as professionals. In particular, they gave them hope for their role as professional nurses in the community. It could also be seen that they developed the ability to engage in team activities for community activities. Community-linked nursing education programs will need to be developed into continuous programs with community residents.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.213-221
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• 2021

With the advent of the 4th industrial revolution, the need for artificial intelligence education has increased. The online learning environment caused by COVID-19 made it possible to use variety of artificial intelligence platforms. In this study, an aritificial intelligence class plan was developed and proposed to achieve the goal of artificial intelligence education using an AI platform. The AI platform used is AI for Oceans, With the theme of creating a program for the environment, designed a 6-hour project class using Novel Engineering-based on STEAM model. Students experience AI for Oceans enough time and learn supervised learning by experience. Based on understanding of supervised learning, students design their own programs for the environment using Entry's AI blocks. In this study, for AI convergence education, this lesson was developed and presented with the goal of acquiring the creative problem solving ability and integrated thinking ability by using the principles of artificial intelligence to solve problems.

• Human Ecology Research
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• v.62 no.2
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• pp.351-368
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• 2024

The objectives of this study were to develop, implement a home economics education teaching-learning plan and assess its effects to enhance global citizenship competencies among upper elementary school students. The ADDIE model was employed for learner needs analysis, instructional design, development and implementation. This was followed by assessments of global citizenship competencies and class satisfaction. Based on an analysis of the core ideas associated with an area of "Living Environment and Sustainable Choice," four practical problems were designed: What actions should I take for the rational management of living resources? What actions should I take to ensure consciousness of the need to respect diversity in daily life? What actions should I take to maintain a safe and healthy living environment? What actions should I take to make sustainable choices? Based on these four practical problems, four lesson topics were developed in accordance with both the voyeur's and the critical perspectives, resulting in a total of 8 sessions. The subsequent delivery of an 8-session class on global citizenship education in home economics yielded significant improvements in the global citizenship competencies (knowledge, skills, attitudes, and willingness to act) of 37 elementary school students immediately after the sessions. The significance of this study lies in its focus on the core ideas of the revised 2022 curriculum, thereby offering directions for the development of global citizenship education within the curriculum.

• Journal of Gifted/Talented Education
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• v.19 no.2
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• pp.353-380
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• 2009

The significant reason for studying computer science lies in the efficient resolution of various problems which can arise in actual life. Consequently, algorithm education is very important in the computer science and plays a great part in helping to enhance the creative ability to solve problems and to improve the programming ability. However, the current algorithm education at an computer science educational institute for the gifted has inadequate systematic quality and is only treated as a part of programming education. From this perspective, this paper carried out following studies in order to design the algorithm education for elementary computer science prodigies. First, the core educational contents was selected by extracting the common elements from existing books related to algorithm education, common study contents on algorithm lesson websites and the study area of ACM's computer algorithm. Second, using the development criteria and selected educational contents, the educational theme for the If weeks load was set. Additionally, the algorithm educational contents were designed for the elementary computer science prodigy based on such theme. Third, the activity site for the use of prodigy educational institute was developed with the background in the educational contents for the elementary computer science prodigy. Fourth, the Delphi analysis technique was used to verify the appropriateness of contents and activity site developed in this paper. It was carried out in 2 separate processes where the first process verified the design of educational contents, and the second process verified the appropriateness of developed activity site.

• Journal of Science Education
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• v.44 no.2
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• pp.240-258
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• 2020

The advances in science technology brought about a new form of learning called flipped-learning: a combination of on-line and off-line learning. A flipped learning is a form of blended learning which has become quite popular, nowadays, in the field of education. Despite the emphasis on the importance of medical humanities in medical education program, there are no effective teaching and learning models to realize the purpose of medical humanities education. This study explores the possibility of flipped-learning to apply medical humanities classes. The class was designed based on the ADDIE model consisting of five stages, analysis - design - development - execution - evaluation. In order to do 'flipped-learning,' the instructor reconstructs the purpose of medical humanities education, instructional purpose and content, and analyzed learner. The contents of the medical humanities class were structured considering the purpose of the introduction to the medical humanities in the medical education program and the competencies that medical personnel should have in the developed health care environment. The instructor produces a video of the lecture and makes it possible to use LMS (Learning Management System) before and after classes, and conducts discussion activities so that learner-learner and learner-teacher interaction could actively occur during the class. The result of applying medical humanities lesson as flipped learning is as follows: First, it can realize the essence of medical humanities education. Second, it contributes to strengthening the competencies of health care provider. Third, flip learning can be used as a new teaching strategy for medical humanities education. The result of this study is expected to suggest new ways of introduction to teaching method in the traditional medical humanities class and contribute to the practice of designing and doing flipped learning of medical humanities class in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.326-337
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• 2020

This study examined the public interest in high school Korean language instruction and the universal design for learning (UDL) using the social big data analysis method. The observations from 10,339 search results led to the conclusion that public interest in UDL was significantly lower than that of high school Korean language instruction. The results of the Big Data Association analysis showed that 17.22% of the terms were found to be related to "curriculum." In addition, a survey was conducted on a total of 330 high school students to examine how their teachers apply UDL in the classroom. High school students perceived computers as the most frequently used technology tool in daily classes (38.79%). Teacher-led lectures (52.12%) were the most frequently observed method of instruction. Compared to the second-year and third-year students, the first-year students appreciated the usage of technology tools and various instruction mediums more frequently (ps<.05). Students were relatively more positive in their response to the query on the provision of multiple means of representation. Consequently, the lesson contents became easier to understand for students with the availability of various study methods and materials. The first-year students were generally more positive towards teachers' incorporation of UDL.

• Journal of The Korean Association For Science Education
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• v.43 no.6
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• pp.563-572
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• 2023

This study aimed to analyze cases of online class design by pre-service science teachers to identify the teaching strategies employed for online classes. For this purpose, the real-time online class lesson plans of 12 pre-service science teachers, who had experienced education utilizing online teaching tools for a semester, were collected and analyzed. The pre-service science teachers considered all the elements that were essential in traditional face-to-face class designs, including prerequisites, statements of learning objectives, stimulating motivation, teaching and learning methods, wrapping up, teacher-student interaction, and assessment. They devised teaching strategies that could overcome the limitations of online teaching and were not feasible in face-to-face classes for each element. Additionally, they were considering new instructional strategies tailored to the online teaching environment, such as creating a conducive environment for using online teaching tools and strategies related to checking the online teaching environment. However, for statements of learning objectives, stimulating motivation, and wrapping up, most of the pre-service science teachers predominantly utilized teaching strategies from traditional face-to-face classes, especially those involving the presentation of visual materials through online tools. Student-centered approaches were rarely implemented in stimulating motivation or wrapping up. These findings imply that one semester of exposure to the utilization of online teaching tools may be insufficient in teacher education. Thus, there is a need for a continuous and expanded educational program on the utilization of online teaching tools as part of pre-service teacher education.

• Journal of Elementary Mathematics Education in Korea
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• v.14 no.2
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• pp.287-314
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• 2010

The algorithm is a chain of mechanical procedures, capable of solving a problem. In modern mathematics educations, the teaching algorithm is performing an important role, even though contracted than in the past. The conspicuous characteristic of current elementary mathematics textbook's manner of manipulating multiplication algorithm is exceeding converge to 'standard algorithm.' But there are many algorithm other than standard algorithm in calculating multiplication, and this diversity is important with respect to didactical dimension. In this thesis, we have reconstructed the experimental learning and teaching plan of multiplication algorithm unit by making the best use of diversity of multiplication algorithm. It's core contents are as follows. Firstly, It handled various modified algorithms in addition to standard algorithm. Secondly, It did not order children to use standard algorithm exclusively, but encouraged children to select algorithm according to his interest. As stated above, we have performed teaching experiment which is ruled by new lesson design and analysed the effects of teaching experiment. Through this study, we obtained the following results and suggestions. Firstly, the experimental learning and teaching plan was effective on understanding of the place-value principle and the distributive law. The experimental group which was learned through various modified algorithm in addition to standard algorithm displayed higher degree of understanding than the control group. Secondly, as for computational ability, the experimental group did not show better achievement than the control group. It's cause is, in my guess, that we taught the children the various modified algorithm and allowed the children to select a algorithm by preference. The experimental group was more interested in diversity of algorithm and it's application itself than correct computation. Thirdly, the lattice method was not adopted in the majority of present mathematics school textbooks, but ranked high in the children's preference. I suggest that the mathematics school textbooks which will be developed henceforth should accept the lattice method.