증강현실과 예술의 융복합 수업모형 개발

피수영,이명숙 한국디지털정책학회 2016 디지털융복합연구 Vol.14 No.5

The Effectiveness of the Flipped Learning using the Smart Device

피수영,도숙진 한국디지털정책학회 2017 디지털융복합연구 Vol.15 No.4

With advances in technology, many researchers have made an effort to find out educational methods with customized instruction. The purpose of the research is to investigate i) if flipped learning is beneficial for the students taking intermediate-level English grammar and writing class compared with the traditional class, ii) if the flipped learning class is advantageous for all the score level students in terms of student achievement and iii) if the students feel motivated with the flipped learning class. T-test was utilized to determine any differences between pretest and posttest in student achievement. The result in terms of the academic achievement revealed that the flipped classroom approach for the low score group was found to be the least effective among others. In the case of flipped learning teaching method, the instructor should develop contents according to the level of learners. The development of customized contents tailored to the level of learners will enhance learners' learning achievement.

커널머신을 이용한 대학의 컴퓨터교육 만족도 분석

피수영,박혜정,류경현,Pi, Su-Young,Park, Hye-Jung,Ryu, Kyung-Hyun 한국데이터정보과학회 2011 한국데이터정보과학회지 Vol.22 No.5

In Information age, the academic liberal art Computer education course set up goals for promoting computer literacy and for developing the ability to cope actively with in Information Society and for improving productivity and competition among nations. In this paper, we analyze on discovering of decisive property and satisfaction index to have a influence on computer education on university students. As a preprocessing method, the proposed method select optimum property using correlation feature selection of machine learning tool based on Java and then we use multiclass least square support vector machine based on statistical learning theory. After applying that compare with multiclass support vector machine and multiclass least square support vector machine, we can see the fact that the proposed method have a excellent result like multiclass support vector machine in analysis of the academic liberal art computer education satisfaction index data. 정보화시대에 대학에서의 교양 컴퓨터교육과정은 컴퓨터에 대한 소양을 쌓고 정보화 사회에 능동적으로 대처할 수 있는 능력을 배양하여 생산성 향상은 물론 국가 간의 경쟁력에서 뒤지지 않게 하는데 목표를 두고 있다. 본 논문에서는 대학생을 대상으로 컴퓨터교육 만족도에 영향을 미치는 결정적인 변인의 발견 및 만족도를 분석한다. 전처리과정으로 자바 기반의 학습 도구인 속성 부분집합의 선택기반을 사용하여 최적의 변인을 선택한 후 통계적 학습이론에 기반을 둔 다중 최소제곱 서포트벡터 기계를 사용하고자 한다. 대학의 교양 컴퓨터교육 만족도 분석을 위하여 새로운 알고리즘을 제시하기 보다는 기존의 다중 서포트벡터기계와 다중 최소제곱 서포트벡터기계를 비교 분석한다. 본 논문의 연구결과는 컴퓨터교육 만족도 자료의 분석에서 다중 최소제곱 서포트벡터기계가 다중 서포트벡터기계와 같이 우수한 성과를 나타내는 것을 확인하였다.

치매예방을 위한 헬스케어 알리미 앱 설계 및 구현

피수영 한국디지털정책학회 2018 디지털융복합연구 Vol.16 No.10

Analysis of client propensity in cyber counseling using bayesian variable selection

피수영 한국지능시스템학회 2006 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.6 No.4

Cyber counseling, one of the most compatible type of consultation for the information society, enables people to reveal their mental agonies and private problems anonymously, since it does not require face-to-face interview between a counsellor and a client. However, there are few cyber counseling centers which provide high quality and trustworthy service, although the number of cyber counseling center has highly increased. Therefore, this paper is intended to enable an appropriate consultation for each client by analyzing client propensity using Bayesian variable selection. Bayesian variable selection is superior to stepwise regression analysis method in finding out a regression model. Stepwise regression analysis method, which has been generally used to analyze individual propensity in linear regression model, is not efficient since it is hard to select a proper model for its own defects. In this paper, based on the case database of current cyber counseling centers in the web, we will analyze clients' propensities using Bayesian variable selection to enable individually target counseling and to activate cyber counseling programs.

SW 코딩교육에서의 학습분석기반 플립러닝의 학습효과

피수영 한국디지털정책학회 2020 디지털융복합연구 Vol.18 No.11

The study aims to examine the effectiveness of flipped learning teaching methods by using learning analytics to enable effective programming learning for non-major students. After designing a flipped learning programming class model applied with the ADDIE model, learning-related data of the lecture support system operated by the school was processed with crawling. By providing data processed with crawling through a dashboard so that the instructor can understand it easily, the instructor can design classes more efficiently and provide individually tailored learning based on this. As a result of analysis based on the learning-related data collected through one semester class, it was found that the department, academic year, attendance, assignment submission, and preliminary/review attendance had an effect on academic achievement. As a result of survey analysis, they responded that the individualized feedback of instructors through learning analysis was very helpful in self-directed learning. It is expected that it will serve as an opportunity for instructors to provide a foundation for enhancing teaching activities. In the future, the contents of social network services related to learners’ learning will be processed with crawling to analyze learners’ learning situations. 본 연구는 비전공자 학생들 대상으로 효과적인 프로그래밍 학습이 가능하도록 학습 분석을 활용한 플립러닝 교수법의 효과성을 살펴보고자 한다. ADDIE모형을 적용한 플립러닝 프로그래밍 수업모형을 설계한 후 본교에서 운영하고 있는 강의지원시스템의 학습관련 자료를 크롤링하였다. 크롤링 자료를 교수자가 쉽게 이해할 수 있도록 대시보드로 제공하여 교수자는 이를 바탕으로 수업을 보다 효율적으로 설계하여 개별 맞춤 학습이 가능하도록 하였다. 한 학기 수업을 통해 수집된 학습관련 데이터를 바탕으로 분석한 결과 학과, 학년, 출결여부, 과제제출 여부, 예/복습 수강여부가 학업성취도에 영향을 미치는 것으로 나타났으며, 설문 분석결과 학습 분석을 통한 교수자의 개별화된 피드백이 자기 주도적 학습에 많은 도움이 되었다고 응답하였다. 본 연구는 학습자의 학습을 촉진시키고 교수자는 교수활동을 개선할 수 있는 기틀을 마련해 주는 계기가 될 것으로 기대한다. 향후 학습자들의 학습과 관련된 소셜네트워크서비스의 내용도 크롤링하여 학습자들의 학습상황을 분석하고자 한다.

IT 융합교육을 위한 비전공자 코딩교육의 발전방안

피수영 한국디지털정책학회 2016 디지털융복합연구 Vol.14 No.10

Development of Global Fishing Application to Build Big Data on Fish Resources

피수영,이정아,양재혁 한국디지털정책학회 2022 디지털융복합연구 Vol.20 No.3

Despite rapidly increasing demand for fishing, there is a lack of studies and information related to fishing, and there is a limit to obtaining the data on the global distribution of fish resources. Since the existing method of investigating fish resource distribution is designed to collect the fish resource information by visiting the investigation area using a throwing net, it is almost impossible to collect nation-wide data, such as streams, rivers, and seas. In addition, the existing method of measuring the length of fish used a tape measure, but in this study, a FishingTAG's smart measure was developed. When recording a picture using a FishingTAG's smart measure, the length of the fish and the environmental data when the fish was caught are automatically collected, and there is no need to carry a tape measure, so the user's convenience can be increased. With the development of a global fishing application using a FishingTAG’s smart measure, first, it is possible to collect fish resource samples in a wide area around the world continuously on a real time basis. Second, it is possible to reduce the enormous cost for collecting fish resource data and to monitor the distribution and expansion of the alien fish species disturbing the ecosystem. Third, by visualizing global fish resource information through the Google Maps, users can obtain the information on fish resources according to their location. Since it provides the fish resource data collected on a real time basis, it is expected to of great help to various studies and the establishment of policies.

말과 행실이 같은 아빠

피수영 샘터사 1995 월간 샘터 Vol.26 No.12

신생아 관리 수가체계의 문제점 및 개선 방안

피수영 한국모자보건학회 1997 한국모자보건학회 학술대회 연제집 Vol.1997 No.1