• Journal of the Korea Society of Computer and Information
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• v.25 no.6
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• pp.109-117
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• 2020

An edutainment system aims to help learners to recognize problems effectively, grasp and classify important information needed to solve the problems and convey the contents of what they have learned. Edutainment contents can be usefully applied to education and training in the both scientific and industrial areas. Our present work proposes an edutainment system that can be applied to a drug discovery process including virtual screening by using intuitive multi-modal interfaces. In this system, a stereoscopic monitor is used to make three-dimensional (3D) macro-molecular images, with supporting multi-modal interfaces to manipulate 3D models of molecular structures effectively. In this paper, our system can easily solve a docking simulation function, which is one of important virtual drug screening methods, by applying gaming factors. The level-up concept is implemented to realize a bio-game approach, in which the gaming factor depends on number of objects and users. The quality of the proposed system is evaluated with performance comparison in terms of a finishing time of a drug docking process to screen new inhibitors against target proteins of human immunodeficiency virus (HIV) in an e-drug discovery process.

• 한국지구과학회:학술대회논문집
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• 2005.09a
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• pp.269-275
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• 2005

중등 교육의 질을 확보하기 위한 가장 핵심적인 변인은 교사이며 교사의 자질 향상과 전문성 개발은 교육에 있어 중요한 화두이다. 교사의 전문성은 무엇보다도 교사의 가르치는 능력에서 확보되어야 하며 교과 내용 지식의 확보가 이를 위한 첫걸음이라고 할 수 있다. 본 연구에서는 수업과 심층면담에서 드러나는 초임 교사의 내용 지식(knowledge), 실천 행위(practice), 의미 이해 전략(sense-making strategy)을 분석하여 교사의 과학 내용에 대한 전문성을 파악하는 것을 목적으로 한다. 이를 위해 수도권의 중등학교에서 근무하는 여섯 명의 중등 초임 과학교사를 대상으로 각각 두 차례의 수업 관찰과 구조화된 면담, 한 차례의 우선순위 면담을 실시하였으며, 미시건 주립대학의 Knowles팀에서 개발한 분석틀을 사용하여 질적으로 분석하였다. 본 연구의 결과는 다음과 같다. 첫째, 초임 교사들은 그들이 지향하는 교사상에 따라 과학 교수 활동에 대해 다양한 의도를 가지고 있었으며 비전공 교과의 과학 내용 지식에 대해서는 다소 어려움을 표현하고 있었다. 둘째, 연구에 참여한 교사들은 대체로 교과서에 의존하여 교육과정에서 제시한 내용과 교과서에 제시된 지도 방법에 크게 의존하여 수업을 진행하고 있었으며 교과서 수준의 개념을 중심으로 나열하는 방식을 주로 사용하였다. 다만, 교사가 스스로 재구성한 내용을 바탕으로 자신의 내러티브로 이끌어가려는 시도가 드러나기도 하였다. 셋째, 학생들의 내용 이해를 돕기 위하여 중요한 과학적 개념을 강조하고 그러한 개념을 반복하는 전략을 주로 사용하였다. 그러나 일부 초임 교사의 사례에서는 적절한 비유와 예시를 도입하려는 시도가 발견되기도 하였다. 한편, 연구에 참여한 초임 교사들은 모두 전문성 개발을 위한 노력이 필요하다고 인식하였으며 교사 양성 과정에서 교직과 관련하여 실제적인 도움을 줄 수 있는 프로그램 개발의 필요성을 주장하였다.주로 나타났으며 우리나라 교육과정수업에서는 DC-DP DP-AD맥락의 반성적 탐구가 나타났다. 정리활동에서 우리나라 교육과정은 반성적 교육과정보다 자료 맥락의 영역개념을 더 자주 이용하고 다양한 맥락의 반성적 탐구가 나오고 있으며, 이는 우리나라 교육과정의 학습지의 활동이나 문제는 학생들에게 익숙하고, 자료 패턴을 가지고 행동결정으로 연결짓는 활동이 명확히 제시되었기 때문이라고 판단된다. 두 그룹의 상호작용 특징에 따른 반성적 탐구의 성향의 차이는 도입단계에서 그룹의 특징과 상관없이 A-AD, AD-SR맥락의 반성적 탐구가 나왔으며 전개와 정리단계에서는 N그룹에서는 DP와 관련된 의미 있는 반성적 탐구가 나오는 반면 M그룹에서는 이러한 맥락의 반성적 탐구는 아주 드물게 나타나며, GN과 관련된 행동결정이 자주 보이고 있었다. 정리활동시 주로 하는 기록 활동에서 N그룹에서는 다양한 맥락에서 반성적 탐구를 하고 있는 것에 비해 비교 그룹에서는 서로 견제하고 확인하는 상호작용의 특징에서 나타나는 AD-SR맥락의 반성적 탐구가 자주 나타났다. 반성적 탐구 척도 두 그룹을 비교 했을 때 CON 상호작용의 특징이 낮게 나타나는 N그룹이 양적으로 그리고 내용적으로 더 의미 있는 반성적 탐구를 했다용을 지원하는 홈페이지를 만들어 자료 제공 사이트에 대한 메타 자료를 데이터베이스화했으며 이를 통해 학생들이 원하는 실시간 자료를 검색하여 찾을 수 있고 홈페이지를 방분했을 때 이해하기 어려운 그래프나 각 홈페이지가 제공하는 자료들에 대한 처리 방법을 도움말로 제공받을 수 있게 했다. 실시간 자료들을 이용한 학습은 학생들의 학습 의욕과 탐구 능력을 향상시켰으며 컴퓨터 활용 능력과 외국어 자료 활용 능력을 향상 시키는데도 도움을 주었다.지역산업 발전을 위한 기술역량이 강화될 것이다.정 ${\rightarrow}$ 분배 ${\rightarrow}$ 최대다수의 최

• Journal of the Korean Chemical Society
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• v.68 no.3
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• pp.160-175
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• 2024

The purpose of this study is to examine the effects of a Chemistry I class based on an artificial intelligence (AI) classification model. To achieve this, the research investigated the development and application of a class utilizing an AI classification model in Chemistry I classes conducted at D High School in Gyeongbuk during the first semester of 2023. After selecting the curriculum content and AI tools, and determining the curriculum-AI integration education model as well as AI hardware and software, we developed detailed activities for the program and applied them in actual classes. Following the implementation of the classes, it was confirmed that students' self-efficacy improved in three aspects: chemistry concept formation, AI value perception, and AI-based maker competency. Specifically, the chemistry classes based on text and image classification models had a positive impact on students' self-efficacy for chemistry concept formation, enhanced students' perception of AI value and interest, and contributed to improving students' AI and physical computing abilities. These results demonstrate the positive impact of the Chemistry I class based on an AI classification model on students, providing evidence of its utility in educational settings.

• Journal of the Korea Society of Computer and Information
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• v.25 no.9
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• pp.37-44
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• 2020

AI technology has developed in the form of decision support technology in law, patent, finance and national defense and is applied to disease diagnosis and legal judgment. To search real-time information with Deep Learning, Big data Analysis and Deep Learning Algorithm are required. In this paper, we try to predict the entrance rate to high-ranking universities using a Deep Learning model, RNN(Recurrent Neural Network). First, we analyzed the current status of private academies in administrative districts and the number of students by age in administrative districts, and established a socially accepted hypothesis that students residing in areas with a high educational fever have a high rate of enrollment in high-ranking universities. This is to verify based on the data analyzed using the predicted hypothesis and the government's public data. The predictive model uses data from 2015 to 2017 to learn to predict the top enrollment rate, and the trained model predicts the top enrollment rate in 2018. A prediction experiment was performed using RNN, a Deep Learning model, for the high-ranking enrollment rate in the special education zone. In this paper, we define the correlation between the high-ranking enrollment rate by analyzing the household income and the participation rate of private education about the current status of private institutes in regions with high education fever and the effect on the number of students by age.

• Journal of the Korea Society of Computer and Information
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• v.25 no.6
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• pp.171-181
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• 2020

This is an empirical study that analyzes factors affecting the work-family compatibility of female wage workers with underage children. The analysis was conducted with 1,113 women from the 7th wave of the Korean Longitudinal Survey of Women & Families by Korean Women's Development Institute. As for research methods, multiple regression analysis was used in order to analyze the effects of 'social support(home support, maternity protection support, childcare and education services)', 'job characteristics', 'socio-demographic variables' and 'husband characteristics' on 'work-family compatibility and conflict'. As a result, it was analyzed that the husband's support for work life, gender inequality at work and women's educational training were the factors that strengthen work-family compatibility. It was also analyzed that gender inequality, use of childcare and education facility, number of underage children, age of husband, husband's satisfaction with caring support and husband's support for work life were the factors that cause conflict between work and family. Thus, if the policy of strengthening the work-family compatibility is a long-term policy, it appears that it is necessary to supplement and strengthen policies that can reduce conflict factors in the short term. It is hoped that the results of the study will be used as objective and academic data to strengthen the maternity protection and work-family compatibility of female workers with underage children.

• Journal of Science Education
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• v.46 no.1
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• pp.17-29
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• 2022

The purpose of this study is to look qualitatively into how efficiently and reasonably a computer can learn themes related to the Nature of Science (NOS). In this regard, a corpus has been constructed focusing on literature (920 abstracts) related to NOS, and factors of the optimized Word2Vec (CBOW, Skip-gram) were confirmed. According to the four dimensions (Inquiry, Thinking, Knowledge and STS) of NOS, the comparative evaluation on the word-level word embedding was conducted. As a result of the study, according to the previous studies and the pre-evaluation on performance, the CBOW model was determined to be 200 for the dimension, five for the number of threads, ten for the minimum frequency, 100 for the number of repetition and one for the context range. And the Skip-gram model was determined to be 200 for the number of dimension, five for the number of threads, ten for the minimum frequency, 200 for the number of repetition and three for the context range. The Skip-gram had better performance in the dimension of Inquiry in terms of types of words with high similarity by model, which was checked by applying it to the four dimensions of NOS. In the dimensions of Thinking and Knowledge, there was no difference in the embedding performance of both models, but in case of words with high similarity for each model, they are sharing the name of a reciprocal domain so it seems that it is required to apply other models additionally in order to learn properly. It was evaluated that the dimension of STS also had the embedding performance that was not sufficient to look into comprehensive STS elements, while listing words related to solution of problems excessively. It is expected that overall implications on models available for science education and utilization of artificial intelligence could be given by making a computer learn themes related to NOS through this study.

• Journal of the Korea Convergence Society
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• v.11 no.8
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• pp.139-145
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• 2020

Due to the rapid development of computer technology, online learning using ICT technology is already quickly settling in our lives. Music education was conducted mainly in an offline-based environment, but research is being conducted to switch to online because there is no time and space constraint of online education and interactive education led by learners is possible. In this study, we propose design and implement an adaptive learning system to enable adaptive learning online among music education. This system has the following advantages. First, by providing an LMS-based platform, one can solve the social education problem corresponding to economic and geographical factors. Second, both objective learning feedback provided automatically by the online adaptive harmony learning system and teaching feedback. Third, learners can be provided with recommended answers to given harmony exercises. The adaptive online learning system of harmony will lead professors and learners to effectively teach and study.

• Archives of design research
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• v.18 no.2 s.60
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• pp.255-264
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• 2005

The development of personal computers and the Internet led to changes of instructor-student and student-student relationships in design education. New resources of design education with proper materials and tools have to be offered for teaching and learning. The purpose of this research is to develop Basic Graphic Tools(BGTs) on screen that help students to practice the design principles, and to evaluate the BGTs' usability to enhance the credibility of extra tools for online design learning. The BGTs has to be developed to minimize the gap between the online and traditional classroom settings and to maximize the diverse advantage of lecture content driven from technology. Students were given certain design requirements to explore BGTs and a learning guide/performance test after the lecture to evaluate the tools. The test was performed under the e-learning program serviced by C college. This research has presented some encouraging results and raises questions toward future work: how do BGTs impact the feasibility of an online design lecture.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.11
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• pp.6922-6931
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• 2014

The development of modern science and technology and computer engineering breakthroughs in the field of information and communication have brought about many changes in lifestyle. The government announced the goal of educational policy in 2030 to educate people in future society on a future-oriented perspective. Changes in the curriculum along with changes in educational facilities are essential. Therefore, the operation of a classroom should be associated with classroom spatial information. The BIM design based on 3D geometry information was designed. The BIM design can link the design information and non-geometric information of spatial information. This study examined the operation of school facilities based on classroom spatial information with BIM. This study suggests standardization of classroom spatial information based on BIM. The scenarios of BIM ordering and design for departmentalized classrooms management is proposed.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.3
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• pp.110-115
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• 2021

With the era of the 4th Industrial Revolution, education on artificial intelligence is one of the important topics. However, since existing education is aimed at knowledge, it is not suitable for developing the active problem-solving ability and AI utilization ability required by artificial intelligence education. To solve this problem, we proposes PBL-based education method in which learners learn in the process of solving the presented problem. The problem presented to the learner is a completed project. This project consists of three types: a classification model, the training data of the classification model, and the block code to be executed according to the classified result. The project works, but each component is designed to perform a low level of operation. In order to solve this problem, the learners can expect to improve their computational thinking skills by finding problems in the project through testing, finding solutions through discussion, and improving to a higher level of operation.