• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.1044-1047
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• 2010

개인화는 사용자에게 개인의 필요와 목적, 지식, 흥미 또는 상황에 맞는 상품과 서비스 그리고 정보를 제공한다. 개인화 서비스의 과정을 통하여 개인 사용자는 자동적으로 선별된 정보만을 제공받음으로써 정보화 사회의 정보과잉 문제를 완화하고, 시간의 절약을 가져올 수 있다. 본 연구에서는 제주물산업의 주요 분야인 병입수, 기능성 주류 및 음료, 수치료 등에 적용할 수 있는 개인화 기술에 대해 연구하고 제주 맥주를 위한 개인화 시스템을 설계 및 구현하였다. 본 연구의 성과로 제주물산업을 통해 개발되는 다양한 상품과 서비스에 대해 고객 개별적인 맞춤형 서비스를 제공해 줌으로 해서 고객의 만족도를 극대화하고 제주물산업의 상품을 글로벌 브랜딩화하는데 기여할 수 있다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.231-232
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• 2016

본 논문에서는 세라밴드의 장점과 ICT기술을 접목시키고 운동 흥미유발 및 재미추구를 보안한 소도구를 개발하여 소비자 위주의 보급을 제안한다. 기존의 소도구 및 기구의 사용에 있어 소비자의 가격부담을 최소화하고 운동기구의 휴대성을 극대화시킨다. 또한 운동 시 지루함을 느끼지 않도록 개개인에게 맞춤형 운동 정보를 제공 하고 다함께 어울려 할 수 있는 운동 프로그램을 개발하고자 한다. 이 연구를 통해 공간에 제약 없이 어디서든 쉽고 재미있게 운동을 할 수 있고 정확한 정보를 가지고 체계적인 운동을 할 수 있게끔 장려 할 것 이다.

• Journal of the Korea Society of Computer and Information
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• v.20 no.3
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• pp.47-56
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• 2015

Automated detection of interesting web pages could be used in many different application domains. Determining a user's interesting web pages can be performed implicitly by observing the user's behavior. The task of distinguishing interesting web pages belongs to a classification problem, and we choose white box learning methods (fixed effect logit regression and support vector machine) to test empirically. The result indicated that (1) fixed effect logit regression, fixed effect SVMs with both polynomial and radial basis kernels showed higher performance than the linear kernel model, (2) a personalization is a critical issue for improving the performance of a model, (3) when asking a user explicit grading of web pages, the scale could be as simple as yes/no answer, (4) every second the duration in a web page increases, the ratio of the probability to be interesting increased 1.004 times, but the number of scrollbar clicks (p=0.56) and the number of mouse clicks (p=0.36) did not have statistically significant relations with the interest.

• Journal of The Korean Association For Science Education
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• v.33 no.1
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• pp.17-29
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• 2013

High school 'science' in the 2009 revised curriculum in Korea was developed for the purpose of enhancing students' scientific literacy needed for citizenship in a democratic society. For this analysis, 'science' includes a variety of scientific topics from the origin of the universe to the birth of life, and the relationship between technology and modern society. It aims to make students understand the process of scientific inquiry and foster interest and curiosity about science. On the other hand, interest has been studied as a psychological construct to affect academic achievement and career selection of students. In this study, the authors investigated students' interest in high school 'science' in view of the 2009 revised curriculum. To carry this out, a survey tool was developed according to previous research, with 997 high school students' responses analyzed with descriptive statistics and factor analysis. The result showed that the students' interest in high school 'science' in view of the 2009 revised curriculum can be interpreted into three dimensions such as motivation, activity, and topic, which has several sub-dimensions. Students' interest in motivation dimension was higher than in activity or topic dimension, while the average value was slightly higher than the middle value. They showed different distribution of interest by gender and job orientation, especially in activity and topic dimensions. From this study, the authors can infer the multi-dimensional property of students' interest in high school 'Science' and the different distribution of interest by dimensions.

• Journal of Science Education
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• v.33 no.1
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• pp.100-110
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• 2009

This study analyzes the factors influencing interest on scientific subject and its change in Korean youth by using a sample from KEEP(Korea Education and Employment Panel 1-4) data. The results are as follows: First, the interest on scientific subject of Korean youth show quadratic curve. Also, the interrelationship between intercept and slope of subject interest is -.205 but it is not statistically significant Second, analysis of Latent Growth Models shows that self-esteem, academic achievement, school culture/climates and high school tracks are found to be a statistically significant factor on the intercept of subject interest These findings indicate that the interest on scientific subject of the Korean youth show a quadratic curve and various factors such as self-esteem, academic achievement and school culture/climates are much more influential on it.

• The Mathematical Education
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• v.63 no.1
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• pp.19-33
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• 2024

This study investigates longitudinal patterns in middle school students' mathematics interest and achievement using panel data from the 4th to 6th year of the Gyeonggi Education Panel Study. Results from the multivariate growth mixture model confirmed the existence of heterogeneous characteristics in the longitudinal trajectory of students' mathematics interest and achievement. Students were classified into four latent classes: a low-level class with weak interest and achievement, a high-level class with strong interest and achievement, a middlelevel-increasing class where interest and achievement rise with grade, and a middle-level-decreasing class where interest and achievement decline with grade. Each class exhibited distinct patterns in the change of interest and achievement. Moreover, an examination of the correlation between intercepts and slopes in the multivariate growth mixture model reveals a positive association between interest and achievement with respect to their initial values and growth rates. We further explore predictive variables influencing latent class assignment. The results indicated that students' educational ambition and time spent on private education positively affect mathematics interest and achievement, and the influence of prior learning varies based on its intensity. The perceived instruction method significantly impacts latent class assignment: teacher-centered instruction increases the likelihood of belonging to higher-level classes, while learner-centered instruction increases the likelihood of belonging to lower-level classes. This study has significant implications as it presents a new method for analyzing the longitudinal patterns of students' characteristics in mathematics education through the application of the multivariate growth mixture model.

• Proceedings of the Korean Statistical Society Conference
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• 2003.10a
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• pp.167-172
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• 2003

혼합물실험에서 성분의 개수가 많고 성분에 대하여 제한조건이 있는 경우 흥미영역을 도시하는 작업은 성분의 개수가 4개 이상일 때 힘든 작업이 된다. 또한 반응변수가 여러 개인 경우 최적화문제도 까다롭게 된다. 이때, 탐색적 자료분석의 한 도구로서 평행좌표그림을 이용하면 통계자료분석시 많은 도움을 받을 수 있다.

• Journal of Korea Game Society
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• v.6 no.3
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• pp.33-42
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• 2006

This study is aimed to develop adventure-game style learning program for offering different levels curriculum in mathematics and figure areas in elementary schools. The 7th mathematics curriculum introduced different levels curriculum considering learners' ability, aptitude, requirement, interest so that it could improve learners' growth potential and educational efficiency. But in reality, it is quite difficult to increase educational efficiency by conducting individual learning classes according to students' ability due to the big differences among students' levels in addition to high population in each classroom. The purpose of this study is to offer different levels curriculum based on van Hiele theory and develop adventure-game style learning program to increase interests of the learners. This program can improve students' academic achievement by offering differentiated curriculums to learners who need advanced or supplementary learning materials. And it also enhances leaners' spatial-perceptual ability by offering various operating activities in figures learning.

• The Journal of Korean Association of Computer Education
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• v.6 no.4
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• pp.171-180
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• 2003

The recent paradigm of web-based teaching-learning is changing into a direction that analyzes the learning patterns of learners on the basis of learners' ability, aptitude, request, interest, learning history, activity profile, etc. and provides adaptive environment with individual learners The present study analyzed learners' learning patterns using data on learning activities and developed a personalization system that provides learning environment adapted to individual learners. This study customized in three aspects, which are recommendation of learning path, recommendation of interface and recommendation of interaction, through Web mining. The personalization system developed in this study was proved to be effective in improving individual learners' satisfaction with learning in Web-based teaching-learning environment.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10b
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• pp.63-65
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• 2000

웹 개인화 기술의 발달은 많은 업체들이 기존 고객의 유지와 신규 고객의 확보를 위한 수단을 제공하였다. 현재의 개인화 기술은 크게 내용 기반 그리고 협력적 정보 여과 방식에 기반한 기술로 나뉘어질 수 있다. 내용 기반 정보 여과 방식에 기반한 개인화 기술은 멀티미디어 정보로 표현된 대부분의 웹 오브젝트(페이지, 이미지, 동영상, 사운드, 상품 등)에는 적용하기 어렵고, 협력적 정보 여과방식은 Cold Start Problem과 단일 도메인내에서의 개인화 서비스만이 가능하다는 문제점이 있다. 본 논문에서는 협력적 정보 여과 방식과 데이터 마이닝 기술 중의 연관 규칙 생성 방법을 혼합한 웹 개인화 시스템을 제안한다. 다양한 멀티미디어 형태로 표현되는 웹 오브젝트의 내용 분석이 어려우므로, 각각의 오브젝트를 하나의 아이템으로 인식하고 개인화 서비스를 시도하는 협력적 정보 여과 방식을 채택하였다. 협력적 정보 여과의 결과로 발견된 도메인별 유사 사용자의 웹 오브젝트 사용 정보를 연관 규칙 생성 알고리즘에 적용하여 오브젝트간의 연관성을 발견한다. 발견된 오브젝트간의 연관성은 서로 다른 정보 도메인의 오브젝트가 현재 사용자에게 흥미있는 것인가를 예측할 수 있는 자료로서 사용될 수 있다. 협력적 정보 여과 방식에 의해 생성된 오브젝트의 선호도값과 오브젝트 연관성 정보를 비교하여 사용자에게 개인화된 웹 서비스를 제공한다.