• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.71-76
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• 2022

The innovative development of the 4th industry and the COVID-19 pandemic caused a great change in the education, eventually requiring elementary, middle and high schools, including kindergartens, to implement artificial intelligence(AI) education. However, since early childhood AI education is conducted in the form of results-oriented and special activities, the need for research on what early childhood AI education is and how to apply it to the Nuri curriculum has been raised. Accordingly, this study defined early childhood AI education through literature research, identified the contents of AI education, and organized and operated it in the Nuri curriculum. As a results, AI education for children should be conducted for the purpose of cultivating digital capabilities based on computing thinking skills, and computers, the Internet, and programs were extracted as sub-elements of child AI education contents. Two approaches were proposed to incorporate this into the Nuri curriculum. The first is to set each of the three AI education contents as a life theme, select sub-factors accordingly, and plan and implement activities suitable for each sub-factors. The second is to develop and operate AI education contents at the level of sub-educational activities in accordance with the life theme of the existing Nuri curriculum. It is hoped that this study will consider the characteristics of early childhood education and be organized in the Nuri curriculum to realize the true meaning of early childhood AI education, and more research on AI play education programs according to the five areas of the Nuri curriculum.

• Korean Journal of Childcare and Education
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• v.14 no.1
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• pp.227-248
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• 2018

Objective: The purpose of this study was to investigate the recognition and qualities of early childhood coding education in childcare center teachers. Methods: 158 childcare center teachers responded to 56 questions on a questionnaire extracted and revised from previous research. Frequency analysis and one-way ANOVA were applied for the data analysis. Results: Many teachers agreed that the software education policy was timely appropriate. Most of them needed the education in order to improve children's creativity and problem solving ability, and answered that it is appropriate to start the education at age 5. Most of them recognized that small group and free choice activities, play activities linked with daily life topics and coding programs by the childcare center teachers were desirable as educational methods. Provision of educational HW/SW environment was a relatively important element for effective implementation of the education. The coding educational qualities perceived by the teachers were not high, and were related to the age of the children they were in charge of and their computer literacy. Conclusion/Implications: The recognition of childcare center teachers was relatively positive, but it is necessary to educate the teachers to improve their recognition and qualities of the education in consideration of teachers' variables.

• Journal of Industrial Convergence
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• v.20 no.5
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• pp.39-59
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• 2022

We analyze the perceptions and requirements of early childhood teachers for artificial intelligence(AI) education to develop an AI education program for 5-year-olds. As for the research methodology, we conducted a survey and an in-depth interview to extract the AI educational elements centering on the analysis stage, the first stage of the ADDIE model. The research result is that first, it is necessary to design a curriculum that combines the contents of early childhood education and AI education to be naturally accepted as AI education for 5-year-olds. Second, an evaluation tool for AI education that can showcase the teacher's reflection should be developed systematically. Third, it is necessary to support a play-centered AI education support and environment for early childhood teachers. Lastly, it is essential to establish a system that can be continuously operated in the field of early childhood education in consideration of AI education in the non-curricular curriculum. It is expected that in the future, a play-oriented AI education program for 5-year-olds will be developed to spread awareness of AI education for infants and present an AI education approach for each age and stage of learners.

• International Journal of Advanced Culture Technology
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• v.7 no.3
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• pp.79-85
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• 2019

This study examined the effects of a robotics curriculum based on "Bee-Bot" on the scientific problem-solving ability on 5-year-old children. A robotics curriculum was also designed to enhance their scientific problem-solving ability. This study examined a 4-week robotics curriculum was conducted 12 times for 4 weeks. For this study, 14 children in kindergarten A in Korea were set up as a treatment group and 18 children in kindergarten B in Korea as a control group. It was found that children in the treatment group who engaged in the robotics curriculum using "Bee-Bot" performed better on scientific problem-solving tests. This finding indicates that an enhanced planning experience using "Bee-Bot" was beneficial for improving young children's scientific problem-solving ability. The implications for designing appropriate curricula using "Bee-Bot" robots for kindergarteners are addressed.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.407-408
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• 2021

본 연구의 목적은 Havruta 학습법 적용을 통해 학습자들 스스로 수업방식을 채택해보고 가지고 있는 지식의 공유를 통해 현장실무 교과과정에 적용하고 개선 방안을 모색하고자 하였다. 연구내용으로 첫째, 논쟁 중심 유형에서는 기술적 가치의 종류를 이해하고 그 중 어떠한 가치가 현장실무에 가장 부합하다고 생각하는지에 관한 논쟁, 둘째, 짝가르치기 유형으로 '아젠다 구축모형'중 '외부주도모형'에 대해 짝에게 가르칠 내용을 사전학습을 통해 학습의 효과를 높임과 동시에 다른 학습에서도 적용, 셋째, 질문중심 유형으로 현장실무 체계에 대한 질문중심수업을 적용하여 학습의 심화도를 높이고 질문에 익숙할 수 있도록 가이드와 유형별 질문 및 목표 제시, 넷째, 문제만들기 유형으로 활용 가능한 문제 예시자료를 통해 수업의 효과성을 학습자 스스로 체감하면서 다른 수업에서도 자발적으로 적용해 볼 수 있도록 하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.423-424
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• 2021

본 연구는 성인학습자를 대상으로 효과적인 비대면 수업방법에 대한 개선점을 모색하여 교수자의 수업역량 향상에 기초자료를 제공하고자 하였다. 이를 위해 PBL(문제중심수업) 교수법을 기초로 4주차 수업을 설계하고 웹엑스(Webex)를 활용한 교수법을 49명의 학생에게 적용하였다. 연구 결과는 다음과 같다. 첫째, 고연령 성인학습자를 대상으로 디지털기기 활용법에 대한 사전 숙지가 필요하며, 둘째, 팀활동을 위한 웹엑스 세션별 수업은 강의실 수업에서 수동적인 학생들의 적극적인 수업참여를 이끌었고, 셋째, PBL(문제중심수업) 수업 방식은 비대면 수업에서도 학생주도의 수업을 이끌어 내고 활발한 상호작용을 통해 학생들의 문제 해결과 실천역량을 향상시킬 수 있었다. 이러한 연구 결과는 성인학습자를 대상으로 한 교수자의 비대면 수업 교수법에 기초적인 자료가 될 것이다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.181-182
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• 2022

본 연구의 목적은 성인학습자 교과과정 '융합형' 교수법을 통해 학습자 특성에 맞는 수업방법을 적용하고 개선방안을 모색하고자 하였다. 본 연구의 교수법을 효율적으로 달성하기 위해 4차에 걸쳐 진행되었다. 1차 '융합형' 교수법 적용 탐색, 2차 교수법 적용 지도법 논의, 3차 교수법 적용 및 보완, 4차 학습자 만족도 조사 및 분석 체계로 이루어졌으며, '융합형' 교수법 적용으로 아동(보육) 관련 교과목, 청소년 관련 교과목 위주의 공통 융합지도(하브루타 교수법, PBL 교수법)가 담당교수 별로 이루어졌다. 연구결과 첫째, '융합형 교수법'의 이론적 근거를 마련하여야 한다. 둘째, 현장연계 교과목 수업에 연계(아동, 청소년) 관련 기관과의 협력이 필요하다. 셋째, 학습자 전체가 참여할 수 있는 (토론회, 공청회) 등 프로그램 개발이 필요하다. 넷째, 다양한 자료, 기술, 기법을 통해 학습자의 동기유발이 필요하다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.185-186
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• 2022

본 연구는 대학의 실시간 비대면 수업에서의 문제중심학습 수업모형 개발과 그 적용가능성 탐색을 목적으로 한다. 이를 위해 선행연구 및 문헌분석을 통해 문제중심학습의 특징 및 수업운영 전략 등에 대하여 고찰하고, 문제중심학습 수업운영 경험자 3인의 인터뷰를 통해 실시간 비대면 수업 상황에서 적용 가능한 수업모형을 개발할 것이다. 이를 문제중심학습 수업 운영 경험이 풍부한 5인의 전문가를 대상으로 수업모형의 적절성과 적용가능성에 대한 평가를 실시하여 실시간 비대면 수업에서 적용 가능한 문제중심학습 수업모형을 개발하고자 한다. 본 연구를 통해 학습자가 실시간 비대면 수업상황에서 주어진 문제 해결을 위해 협력하고 창의적 사고를 하며 주도적으로 학습에 임하게 함으로써 미래사회에 필요한 역량을 개발하는 데 기여할 수 있을 것이라고 기대한다.

• Journal of the Korea Society of Computer and Information
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• v.15 no.10
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• pp.209-220
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• 2010

In this study, a survey was carried out to investigate status of children's computer use and their ability by gender and age. The objects of the survey were kids at a day care center in Gimpo where students of the early childhood education department of K university had practical training for a month. 378 questionnaire were collected excepting those with insincere or inconsistent responses, and among them, According to the results of this study, girls use computers more often than boys for educational purposes such as learning how to read and write Korean language and numbers and foreign languages, and also learning music and arts. On the other hand, boys use computers more often than girls for entertainment like cartoon movies and games. In terms of computer using ability such as understanding instructions, manipulation of functions, drawing pictures, chatting and e-mail, internet shopping, homepage making, girls have higher ability than boys while boys are significantly superior to girls in the ability to play computer games. The analytical results show that application programs of the childhood education is desirable for boys to use for the sake of arousing the interest and for the game and for girls to use at the part of music and arts. According to ages, for 1-2 years children, they needs the AP with a delicate person having the computer knowledge, for 3-4 years children, they need AP with some little help, for 6-7 years, they need the AP to do themselves according to sex and age.

• Journal of information and communication convergence engineering
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• v.20 no.1
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• pp.58-64
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• 2022

Breast ultrasonic reading is critical as a primary screening test for the early diagnosis of breast cancer. However, breast ultrasound examinations show significant differences in diagnosis based on the difference in image quality according to the ultrasonic equipment, experience, and proficiency of the examiner. Accordingly, studies are being actively conducted to analyze the texture characteristics of normal breast tissue, positive tumors, and malignant tumors using breast ultrasonography and to use them for computer-assisted diagnosis. In this study, breast ultrasonography was conducted to select 247 ultrasound images of 71 normal breast tissues, 87 fibroadenomas among benign tumors, and 89 malignant tumors. The selected images were calculated using a statistical method with 21 feature parameters extracted using the gray level co-occurrence matrix algorithm, and classified as normal breast tissue, benign tumor, and malignancy. In addition, we proposed five feature parameters that are available for computer-aided diagnosis of breast cancer classification. The average classification rate for normal breast tissue, benign tumors, and malignant tumors, using this feature parameter, was 82.8%.