• Journal of Korea Society of Industrial Information Systems
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• v.9 no.4
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• pp.47-55
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• 2004

Most questions made for remote examinations on web-based education system use methods of making questions using fixed questions or randomly using item pools or automatically using degree of difficulty. Particularly, automatically selection methods using degree of difficulty is the kernel of a question that objectivity of examination questions by degree of difficulty adjustment based result of examination. This paper is use automatically selection methods for examination on web-based education system. Therefore we present new algorithms of mediateness degree of difficulty as regards education ability of students for adjust the degree of difficulty. We identified this algorithms is more effective as compared with previously algorithms on web-based education system

• Proceedings of the Korean Information Science Society Conference
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• 2006.06b
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• pp.244-246
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• 2006

웹 기반 교육 시스템에서 문제 집합 구성은 주로 고정 출제 방식, 무작위 출제 방식, 난이도에 따른 출제 방식으로 이루어진다. 문제 집합의 구성 시 문제 은행에서 문제 난이도에 대한 객관성을 유지하는 것이 무엇보다 중요하다. 따라서 본 논문에서는 난이도를 재조정하는데 학습자들의 문제 풀이 결과를 반영하는 새로운 난이도 재조정 알고리즘을 제시한다. 본 논문에서 제안하는 학습자 피드백 기반 문제 수준 조절 방법은 개인 시험 결과, 그룹 시험 결과 그리고 개인의 특정 섹션 시험 결과를 함께 고려하여 난이도를 조절한다. 기존 알고리즘과 비교 분석한 결과 문제 난이도의 변화율 측면에서 보다 현실적인 문제 난이도 변화를 확인할 수 있었다.

• Journal of Korea Society of Industrial Information Systems
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• v.9 no.3
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• pp.11-18
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• 2004

It is making researches in questions selection method for examination in web-based education system. Most questions made for these remote examinations use methods of making questions using fixed questions or randomly using item pools or automatically using degree of difficulty. This paper proposes a new examination questions selection algorithm in web-based education system for engineer test. Generally, Engineer test is characterized by adequate examination questions selection for degree of difficulty and equally between all units. Therefore this algorithm selected examination questions equally well as regards degree of difficulty and distribution between all units. This algorithm providers more effective education examination method as compared with previous algorithm.

• The Journal of Korean Association of Computer Education
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• v.22 no.2
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• pp.39-50
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• 2019

We designed and applied team project based learning for effective computer programming education and analyzed the effect on learning effect. Throughout simplified traditional theories and practices, teamed up with random lottery, divided role & responsibility, and conducted problem solving projects in a competitive way for a given task. When after completion of the course, we conducted questionnaires on learners in order to grasp the influence factors on the learning effect. As a result of the structural equation model analysis, it was shown that Team Project had a direct effect on the learning effect. The learning effect based on the relationships among the factors derived through exploratory factor analysis. Based on this analysis, we propose a more effective computer programming education way.

• The KIPS Transactions:PartD
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• v.12D no.3 s.99
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• pp.471-480
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• 2005

Most questions made for remote examinations on web-based education system use methods of making questions using fixed questions or randomly using item pools or automatically using degree of difficulty. Particularly, automatically selection methods using degree of difficulty is the kernel of a question that objectivity of the first degree of difficulty for questions and an effective questions selection using degree of difficulty and mediateness degree of difficulty based result of examination. This paper is use automatically selection methods for examination on web-based education system. Firstly, we present new question selection algorithms as regards degree of difficulty and distribution between all units. Secondly, we present new algorithms of mediateness degree of difficulty as regards education ability of students for adjust the degree of difficulty. We identified this algorithms is more effective as compared with previously algorithms on web-based education system.

• The KIPS Transactions:PartA
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• v.9A no.3
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• pp.301-310
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• 2002

Internet has been applied to the educational field such as data search, lecture by motion picture, realtime examination. Most questions made for these remote examinations use methods of making questions randomly using fixed questions or item pools. The designed system in this paper makes questions without knowing MARK-UP language and after undergoing examinations on Web. Also it readjusts degree of difficulty automatically on the basis of the rate of correct answers. In addition, this enables learners to perform feedback learning after examinations and subsequently learners themselves to adjust their degree of difficulty and undergo reexaminations. The automatic selection system makes it easy to select questions, possible to expect average marks and number of questions made, and to prevent that questions may be made too easy or too hard. For a remote examination, as there are much possibilities of dishonesty such as examination by proxy so different types of problems are made, and problems of the rationality caused from that can be avoided.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.9
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• pp.1539-1550
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• 2001

이 연구는 미국이라는 사회 안에서 민족적 하위문화를 형성하고 있는 재미한국인 가운데 문화 적응도가 의류관련 쇼핑성 향에 미치는 영향을 고찰하고자 수행되었다. 전 미국의 재미한국여성을 대상으로 무작위 표집 방식을 채택하여 1000명을 표집 한 후 설문지가 우편으로 발송되었다. 이 중 115명의 재미한국여성 응답자로부터 얻은 자료를 다중회귀분석과 다변량 회귀분석을 사용하여 분석하였다. 연구결과로서, 응답자의 개인적 특성 중 지리적 위치, 교육수준, 연령, 미국에 도착한 연령 등이 유의한 영 향을 미치는 것으로 나타났다. 또한, 문화 적응도는 의류관련 쇼핑성향에 유의한 영향을 미치고 있음을 확인하였다.

• Journal of The Korean Association For Science Education
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• v.22 no.3
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• pp.595-603
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• 2002

The influences of the characteristics of anomalous data on cognitive conflict and conceptual change in learning density were investigated. The subjects were 416 seventh graders. First, the Group Assessment of Logical Thinking and a preconception test were administered. A questionnaire on the responses to anomalous data was then administered. In the questionnaire, four types of anomalous data varying presentation type (movie/text) and authority level (high/low) were randomly presented. After a computer-assisted instruction on density, a conception test was administered. The results indicated that anomalous data presented in movie type significantly induced more cognitive conflict than that in text type. Students presented with anomalous data of high authority scored higher in the conception test than those of low authority. There were no significant interactions between the characteristics of anomalous data and students' logical thinking ability in the scores of both the cognitive conflict and the conception test.

• Journal of The Korean Association of Information Education
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• v.14 no.2
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• pp.273-283
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• 2010

Emergent process or behaviour can be seen in many places, from any multicellular biological organism to traffic patterns, cities or organizational phenomena in computer simulations. Similarly, the concept of 'Green IT' refers to the way complex systems and patterns arise inevitably among groups due to environmental concerns in real world. Green IT has good possibility to evolve as very chaotic system, in which the number of interactions between components increases geometrically with the number of components, thus potentially allowing for many new types of behaviour to emerge. However, when Green IT system regards as a complexity one, there exits some attractors to derive and control the system. In this context, this paper presents a new model based on type-2 fuzzy logic system to identify and assess the attractors of Green IT system which correspond to Reach-Richness matrix of Green IT.

• Therapeutic Science for Rehabilitation
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• v.10 no.3
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• pp.7-22
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• 2021

Objective : The purpose of this study was to verify the effect of virtual reality interventions (VRIs) on cognitive function in individuals with stroke through a systematic literature review and meta-analysis. Methods : We reviewed randomized controlled trials (RCTs) the last 10 years using academic databases. PubMed, MEDLINE, and CINAHL were used for international studies, and DBpia, KISS, Kyoboscholar, and e-article were used for Korean studies. For the quantitative meta-analysis, subgroups of outcomes were classified into general cognitive function (G-CF), attention and memory (A&M), and executive function (EF). Results : Nine RCTs were analyzed. The total number of participants was 271 (140 in the experimental group). The effect size (Cohen's d) was estimated using a random effects model. The effect sizes of the outcome subgroups of were as follows: small to medium for G-CF (d=0.422; 95% CI: 0.101~0.742; p=0.010), small for A&M (d=0.249; 95% CI: -0.107~0.605; p=0.170), and medium for EF (d=0.666; 95% CI: 0.136~1.195; p=0.014). Conclusion : Considering the various stimuli provided by the virtual environment and the results from available research, virtual reality should be applied to interventions for integrated cognitive functions. In addition, it would be appropriate to be used as an additional intervention to traditional cognitive rehabilitation for stroke.