• Journal of the Korean Data and Information Science Society
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• v.23 no.1
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• pp.143-150
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• 2012

Based on the student evaluation of teaching from 'A' university where students are graded by relative performance, we conducted a research on the effect of course characteristics in student evaluation of teaching. The results show that the score of student evaluation of teaching seems to be higher for those classes with more proportion of male students, higher grades, and smaller class sizes. From these results, we suggest an evaluation model which can control the effect of grade and sex. Also we illustrate the performance of the evaluation model by using a case study.

• Journal of the Korea Society of Computer and Information
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• v.14 no.9
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• pp.85-94
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• 2009

It is becoming increasingly difficult for learners to find the lectures they are looking for. In turn, the ability to find the particular lecture sought by the learner in an accurate and prompt manner has become an important issue in e-Learning. To deal this issue, in this paper. we present a collaborative approach to provide personalized recommendations of online video lectures. The proposed approach first identifies candidated video lectures that will be of interest to a certain user. Partitioned collaborative filtering is employed as an approach in order to generate neighbor learners and predict learners'preferences for the lectures. Thereafter, Attribute-based filtering is employed to recommend a final list of video lectures that the target user will like the most.

• Journal of the Korean Data and Information Science Society
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• v.24 no.6
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• pp.1285-1296
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• 2013

The fundamental concerns of this paper are to analyze the effects of student course evaluation using subject characteristic and student characteristic variables. We use a 2-level hierarchical linear model since the data structure of subject characteristic and student characteristic variables is multilevel. Four models we consider are as follows; (1) null model, (2) random coefficient model, (3) mean as outcomes model, (4) intercepts and slopes as outcomes model. The results of the analysis were given as follows. First, the result of null model was that subject characteristics effects on course evaluation had much larger than student characteristics. Second, the result of conditional model specifying subject and student level predictors revealed that class size, grade, tenure, mean GPA of the class, native class for level-1, and sex, department category, admission method, mean GPA of the student for level-2 had statistically significant effects on course evaluation. The explained variance was 13% in subject level, 13% in student level.

• Journal of the Korean Data and Information Science Society
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• v.21 no.3
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• pp.513-521
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• 2010

Most of universities have carried out course evaluation to apply the performance appraisal for professor. But, course evaluation depends on characteristics of each class such as class size, type of lecture, evaluator's grade and so on. As the results, such characteristics of each class lead to serious bias which makes lecturers distrust the course evaluation results. Hence, we propose a equating method for the course evaluation by regression analysis which use stepwise variable selection. And we compare proposed method with the other method by Cho et al. (2009) with respect to efficiencies. Also we give the example to which the method is applied.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10a
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• pp.67-71
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• 2006

최근 멀티미디어를 활용한 정보표현능력 함양을 위하여 컴퓨터그래픽 강좌 개설이 증가하고 있으며, 이와 함께 해당 강좌에 대한 선행학습자가 빠르게 증가하고 있다. 하지만, 대부분 강좌는 선행학습 여부를 고려하지 않고 실행되고 있어서, 학습성취도의 저하와 컴퓨터그래픽 전문가 양성에 제약을 받고 있다. 본 논문에서는 선행학습자들의 차별된 학습 욕구를 파악하고, 구성주의 교육공학 이론에 기초하여, 선행학습 경험이 있는 학생들을 위한 강의모형의 특징과 강의교재의 특성을 제안한다.

• 베이커리
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• no.5 s.310
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• pp.140-143
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• 1994

이번호에는 유지 중 마아가린과 쇼트닝의 특성과 가공적성에 대해 알아본다.

• Journal of the korean veterinary medical association
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• v.45 no.9
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• pp.822-828
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• 2009

피부질환에 있어서 직접적 병변부에 적용되는 외용제나 샴푸를 이용한 국소요법은 전신처치와 더불어 중요한 처치법 중의 하나이다. 본 강좌에서는 샴푸요법의 기본 원리와 올바른 적용법과 함께 국소적용 연고제제의 특성과 적용법에 대해 알아보고자 한다.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10d
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• pp.593-596
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• 2007

웹데브(WebDAV)는 분산 저작활동을 지원하기 위한 IETF의 표준 프로토콜로서 원거리 사용자들 간의 비동기적인 저작활동을 지원하며, 웹데브 서버에 등록된 자원에 대하여 속성을 관리하고 접근을 제어할 수 있는 웹데브 메소드와 웹데브 접근제어 프로토콜을 이용하여 웹데브 서버를 다양한 방법으로 확장할 수 있다. 본 논문에서는 웹데브 표준 프로토콜과 접근제어 프로토콜을 이용하여 강좌관리 시스템을 설계한다. 강좌관리 시스템에서 사용되는 웹데브 기반 서버는 Apache 그룹의 Jakarta Slide 서버를 확장하였으며 클라이언트는 KDE 기반의 리눅스에서 동작하도록 설계하였다. 강좌관리 시스템은 HTTP 프로토콜 기반의 응용프로그램으로서 인터넷이 연결되어 있는 어떠한 곳에서라도 사용할 수 있으며 분산저작이 가능한 웹데브 서버의 특성을 살려서 웹상에서 자유로운 자원 교환을 지원한다. 또한 일반적인 강좌관리 시스템에서 사용하는 출석등록, 보고서 제출, 강의 자료 제공 등의 기본 기능을 웹데브 서버가 지원하는 기능을 이용하여 설계하며, 교수와 학생 각자의 역할에 맞는 인터페이스를 제공하여 인터페이스에서 발생할 수 있는 오류를 줄이고 사용자 중심의 인터페이스로 설계하였다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.3
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• pp.193-198
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• 2023

We study a learner-customized lecture recommendation project using deep learning. Recommendation systems can be easily found on the web and apps, and examples using this feature include recommending feature videos by clicking users and advertising items in areas of interest to users on SNS. In this study, the sentence similarity Word2Vec was mainly used to filter twice, and the course was recommended through the Surprise library. With this system, it provides users with the desired classification of course data conveniently and conveniently. Surprise Library is a Python scikit-learn-based library that is conveniently used in recommendation systems. By analyzing the data, the system is implemented at a high speed, and deeper learning is used to implement more precise results through course steps. When a user enters a keyword of interest, similarity between the keyword and the course title is executed, and similarity with the extracted video data and voice text is executed, and the highest ranking video data is recommended through the Surprise Library.

• Journal of the Korea Convergence Society
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• v.10 no.3
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• pp.105-113
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• 2019

This study was conducted with 500 citizens of one metropolitan city to prepare foundational data for the opening of health promotion course of traditional korean medicine. A questionnaire examined participants' general characteristics and their experience with and awareness of oriental treatment and a survey on the need for health promotion course of traditional korean medicine were used as the research tools. Results showed that 56.8% of respondents had an experience with oriental treatment over the last year. Participants who responded that oriental treatment was effective accounted for 72.3%. Respondents selected "subject and contents of class" (59.1%) as the important factor in attending the oriental health promotion course, and cardiovascular disease (23.7%) as the disease they wanted to learn about. They considered "self-health care method for diseases" (69.0%) as what they expected most from the class. The results of this study will be useful when planning health promotion course of traditional korean medicine to satisfy the participants' needs.