• Journal of The Korean Association of Information Education
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• v.26 no.1
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• pp.35-44
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• 2022

Previous studies showed that an improvement in attitude toward a subject affects academic achievement in the subject. The purpose of this study is to confirm that the AI education program causes changes in the AI attitude of gifted children in elementary school, and that the change in attitude leads to a change in literacy. In this study, we conducted an AI education program for gifted children, and analyze the effect of AI education program on the change in AI attitude AI literacy through pre- and post-test. The result of the analysis showed the statistically significant improvement of AI attitudes. In addition, through regression analysis it was found that the change in AI attitude has a statistically significant direct effect on the change in AI literacy. This study has a limitation in that self-evaluation was used to measure AI attitudes and literacy and conducted to a relatively small number of samples. Even though, it was also confirmed that the activities of making an AI programs experienced in real-life can cause changes in AI attitudes and literacy.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.381-383
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• 2023

본 연구는 2016년 이후 2022년까지의 국내 정보영재 관련 연구를 분석하여 이를 통해 향후 정보영재 관련 연구의 방향을 모색하기 위해 시도되었다. 이를 위하여 한국교육학술정보원에서 제공하는 학술지 수록 총 38편의 논문을 대상으로 발행 연도, 연구 대상, 연구 주제, 연구 방법 등을 분석하였다. 그 결과 활발한 정보영재 관련 연구가 필요하고, 연구 주제 측면에서 정보영재 판별과 선발, 교원의 전문성에 관련된 연구가 필요하며, 내용 체계 기준으로 AI, 데이터 관련 연구가 필요함을 알 수 있었다.

• Journal of The Korean Association For Science Education
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• v.43 no.6
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• pp.573-582
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• 2023

This study aimed to explore the potential use of artificial intelligence in science education for gifted students by analyzing the structure of abstracts written by students at a gifted science academy and comparing the performance of various elements extracted using AI. The study involved an analysis of 263 graduation theses from S Science High School over five years (2017-2021), focusing on the frequency and types of background, objectives, methods, results, and discussions included in their abstracts. This was followed by an evaluation of their accuracy using AI classification methods with fine-tuning and prompts. The results revealed that the frequency of elements in the abstracts written by gifted students followed the order of objectives, methods, results, background, and discussions. However, only 57.4% of the abstracts contained all the essential elements, such as objectives, methods, and results. Among these elements, fine-tuned AI classification showed the highest accuracy, with background, objectives, and results demonstrating relatively high performance, while methods and discussions were often inaccurately classified. These findings suggest the need for a more effective use of AI, through providing a better distribution of elements or appropriate datasets for training. Educational implications of these findings were also discussed.

• 전기의세계
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• v.66 no.8
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• pp.26-32
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• 2017

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.167-173
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• 2021

The purpose of this study is to discuss the types of algorithms and data categories in AI education for elementary school students. The study surveyed 11 pre-elementary teachers after providing education and practice on various data, artificial intelligence algorithm, and AI education platform for 15 weeks. The categories of data and algorithms considering the elementary school level, and educational tools were presented, and their suitability was analyzed. Through the questionnaire, it was concluded that it is most suitable for the teacher to select and preprocess data in advance according to the purpose of the class, and the classification and prediction algorithms are suitable for elementary AI education. In addition, it was confirmed that Entry is most suitable as an AI educational tool, and materials that explain mathematical knowledge are needed to educate the concept of learning of AI. This study is meaningful in that it specifically presents the categories of algorithms and data with in AI education for elementary school students, and analyzes the need for related mathematics education and appropriate AI educational tools.

• Proceedings of the Korean Society for the Gifted Conference
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• 2005.11a
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• pp.33-49
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• 2005

Creativity since 1950 has become an increasing appealing component of education. This is especially true in many Asian countries including Singapore. Creativity is a necessary but not a sufficient component ofholistic education. Beginning with creativity for the talented, the gifted, and people with high abilities, creativity has gradually become a phenomenon of every society, and a potential competence of every person. This paper presents my views on the evolving trends of creativity in education and challenges my thoughts on who should be given the opportunity to become creative. Is creativity merely meant for the gifted or for all? Some reflective points with regard to answering this question areelicited with reference to the development of Singapore's education.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1996.11a
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• pp.496-500
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• 1996

An air flow measurement device is proposed. The thermal characteristic of a semiconductor element is adopted as a cooling parameter of thermal convection rate. The difference between forced convection and natural convection of two Zener diodes results enough difference in temperature. Experiment at various air flow conditions shows the measuring capability of the air flow in a duct. This measuring device has some merits, such as a reliability n hard field condition, simple circuit for signal processing, small volume of the element, less air flow resistance, independance of various ai temperature. The experimental result shows that it is an exact and usefull air flow measurement device.

• Journal of Engineering Education Research
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• v.22 no.3
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• pp.11-17
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• 2019

With technology rapidly changing our economic, cultural and social realities, the question of how to educate the generation for the fourth industrial revolution has been a pressing issue. The purpose of this study is to review teachers' perception regarding the educational change in the fourth industrial revolution. For this purpose, we surveyed 420 school teachers and administrators. Most teachers highly understand The Fourth Industrial Revolution and they think AI(Artificial Intelligence) is a core technology. They recognize The Fourth Industrial Revolution is very important and great influence in the education field. For this, they need educational innovation in the education field. Elementary school teacher perceive understanding Elementary school teachers think that understand The Fourth Industrial Revolution and change of curriculum is highly important. And, Secondary school teachers perceive that the change of education system and class is very necessary. Lastly, STEAM education is the most appropriate to prepare for a changing society.

• Journal of the Korea Society for Simulation
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• v.33 no.2
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• pp.27-35
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• 2024

We aimed to shed light on the issue of perpetuating societal disparities by analyzing the impact of inherent biases present in datasets used for training artificial intelligence models on the predictions generated by Artificial Intelligence(AI). Therefore, to examine the influence of data bias on AI models, we constructed an original dataset containing biases related to gender wage gaps and subsequently created a de-identified dataset. Additionally, by utilizing the decision tree algorithm, we compared the outputs of AI models trained on both the original and de-identified datasets, aiming to analyze how data de-identification affects the biases in the results produced by artificial intelligence models. Through this, our goal was to highlight the significant role of data de-identification not only in safeguarding individual privacy but also in addressing biases within the data.

• Proceedings of the KSR Conference
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• 2009.05a
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• pp.406-410
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• 2009

Power facilities of urban rail transit substation is deterioration, and endurance limitation is coming, so urban rail transit facilities should take any necessary measure for maintenance and repair. In this paper proposes online monitoring system using the wireless communications for the urban rail transit. This system is constructed various departments; such as sensor, measurement, data communication, host computer, and power departments. It is designed to collect and save AI (Analog Input) information of the power facilities, and to analyze and display them. As a result, it is possible to prevent from any unexpected power cuts and monitor my abnormalities in real time, and to collect accumulated data for creating a better management system.