• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.3
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• pp.361-370
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• 2017

In this paper, correlation analysis was performed between questionnaire and machine learning based aggressive tendency measurements. this study is part of a aggressive driver detection using machine learning and questionnaire. To collect two types tendency from questionnaire and measurements system, we constructed experiments environments and acquired the data from 30 drivers. In experiment, the machine learning based aggressive tendency measurements system was designed using a driver behavior detection model. And the model was constructed using accelerate and brake position data and hidden markov model method through supervised learning. We performed a correlation analysis between two types tendency using Pearson method. The result was represented to high correlation. The results will be utilize for fusing questionnaire and machine learning. Furthermore, It is verified that the machine learning based aggressive tendency is unique to each driver. The aggressive tendency of driver will be utilized as measurements for advanced driver assistance system such as attention assist, driver identification and anti-theft system.

• The Journal of Korean Association of Computer Education
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• v.4 no.2
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• pp.1-11
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• 2001

The computer subject emphasizes practice centered teaching. The materials can be used in such practice teaching play a role as resources improving poor practice teaching environment. Web courseware can be used as teaching-learning materials causing motivation and interest to learners and enabling learning activity meeting students' level and requirement. So, we developed 15 web coursewares as teaching and learning materials for middle school Computer subject in this study. The design forms of web coursewares we developed are different each other. And then, lead teachers to develope teaching and learning materials originally and to apply them to teaching variously. In addition, the practice parts of web coursewares were made of form of sham learning appling procedural simulation skill. It enables individual practice of learners, so we expect improving one to many instruction environment somewhat.

• Journal of KIISE:Software and Applications
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• v.26 no.5
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• pp.674-681
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• 1999

본 연구에서는 MHEG을 기반으로 한 원격 교육/훈련 시스템으 설계한다. 설계하는 시스템은 코스웨어를 제공하고, 비동기모드로 브라우징하여 개별 학습을 지원하던 기존 시스템과는 달리 , 교육적 효과를 높이기 위해 비동기 방식과 동기 방식을 동시에 수용할수 있도록 설계하였다. 특히 동기 방식은 사용자 공동 작업 환경을 위한 세션 관리 모듈을 두어 실시간 화상 강의 응용에서 학습자 및 세션 제어에 대한 연산을 제공함으로써 학습 효율을 향상시킬수 있으며, MHEG 표준을 도입하여 학습자와의 실시간 상호 작용을 충분히 지원함으로써 훈련 시스템에서의 시뮬레이션 지원 능력을 극대화 할수 있도록 하였다.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.3
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• pp.547-552
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• 2019

Recently, the massive growth in the scale of data has been observed as a major issue in the Big Data. Furthermore, the Big Data should be preprocessed for normalization to get a high performance of the Machine learning since the Big Data is also an input of Machine Learning. The performance varies by many factors such as the scope of the columns in a Big Data or the methods of normalization preprocessing. In this paper, the various types of normalization preprocessing methods and the scopes of the Big Data columns will be applied to the SVM(: Support Vector Machine) as a Machine Learning method to get the efficient environment for the normalization preprocessing. The Machine Learning experiment has been programmed in Python and the Jupyter Notebook.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.633-640
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• 2021

This study analyzes the effects of text and image presenting methods in video lectures on students' learning flow, learning satisfaction and learning outcomes. The text presenting methods include forming short sentences of 2 or 3 words or using key words, while image presenting methods include images featuring both detailed and related information as well as images containing only related information. 167 first year students from Xingtai University were selected as experimental participants. Groups of participants were randomly assigned to engage in four types of video. The research results are as follows. First, it was found that learning flow, learning satisfaction and learning outcomes of group presented with video forms of short sentences had higher statistical significance compared to the group experiencing the key word method. Second, learning flow, learning satisfaction and learning outcomes of group presented with video forms of only related information had higher statistical significance compared to the group experiencing the presenting method of both detailed and related information. That is, the mean values of dependent variables for groups of short form text and only related information were highest. In contrast, the mean values of dependent variables for groups of key words and both detailed and related information were the lowest.

• Annual Conference on Human and Language Technology
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• 2019.10a
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• pp.236-238
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• 2019

신경망 기계 번역(Neural Machine Translation)은 주로 지도 학습(Supervised learning)을 이용한 End-to-end 방식의 연구가 이루어지고 있다. 그러나 지도 학습 방법은 데이터가 부족한 경우에는 낮은 성능을 보이기 때문에 BERT와 같은 대량의 단일 언어 데이터로 사전학습(Pre-training)을 한 후에 미세조정(Finetuning)을 하는 Transfer learning 방법이 자연어 처리 분야에서 주로 연구되고 있다. 최근에 발표된 MASS 모델은 언어 생성 작업을 위한 사전학습 방법을 통해 기계 번역과 문서 요약에서 높은 성능을 보였다. 본 논문에서는 영어-한국어 기계 번역 성능 향상을 위해 MASS 모델을 신경망 기계 번역에 적용하였다. 실험 결과 MASS 모델을 이용한 영어-한국어 기계 번역 모델의 성능이 기존 모델들보다 좋은 성능을 보였다.

• Journal of Engineering Education Research
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• v.8 no.4
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• pp.5-19
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• 2005

Computer based teaming system has considerable influence upon teaching technique and teaming efficiency. It is possible to make a learner-oriented teaching in the online learning system. In this case, it can provide easily and immediately learner with various information that relate to class status, for example, attendance, examination score and so on. In the case of conventional off-line education, however, it is inefficient to provide the information of class status for learners compared with on-line system. In this paper, we propose a monitoring system of class status which can provide various information of teaming status for learners, instructors and advisors. It is useful to advise student's course work and job. The main purpose of this system is to prepare a monitoring system of class status on a web based e-class system. It achieves self-monitoring systems which provide a feedback data as a result of class for students.

• The Journal of Korean Association of Computer Education
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• v.9 no.3
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• pp.47-65
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• 2006

For the purpose of analysis, the supporting methods for inquiry process is divided into 3 types; when CSILE supports low-level of basic inquiry process, when CSILE supports high-level of integrated inquiry process and when CSILE supports both low-level and high-level of inquiry process. Strauss and Corbin's(1998) grounded theory was used to analyze inquiry process of learning groups. 48 elementary school students in 6th grade participated in this study. Those participants were assigned into 3 groups and each group consisted of 16 students. Then, participants studied a retarded unit in science subject cooperatively for 4 weeks using CSILE program. Through this extensive experiment, 3 types of inquiry model was revealed.

• Journal of Educational Research in Mathematics
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• v.16 no.4
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• pp.297-312
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• 2006

As research on the instruction method of the concept of irrational numbers, this thesis is theoretically based on the Freudenthal's Mathematising Instruction Theory and a conducted case study in order to find an introduction method of irrational numbers. The purpose of this research is to provide practical information about the instruction method ?f irrational numbers. For this, research questions have been chosen as follows: 1. What is the introducing method of irrational numbers based on the Freudenthal's Mathematising Instruction Theory? 2 What are the Characteristics of the teaming process shown in class using introducing instruction of irrational numbers based on the Freudenthal's Mathematising Instruction? For questions 1 and 2, we conducted literature review and case study respectively For the case study, we, as participant observers, videotaped and transcribed the course of classes, collected data such as reports of students' learning activities, information gathered through interviews, and field notes. The result was analyzed from three viewpoints such as the characteristics of problems, the application of mathematical means, and the development levels of irrational numbers concept.

• The Journal of Korean Association of Computer Education
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• v.7 no.6
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• pp.59-68
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• 2004

Cooperative web-based learning is an teaching strategy in which small teams, each of students with different levels of ability, use a variety of learning activities to improve their understanding of a subject via the web. The objective of this paper is to propose new assessment items for evaluating students fairly in cooperative web-based learning. As a result, improved academic achievement, improved behavior and attendance, and increased self-confidence can be made in cooperative web-based learning due to the fair assessment, In this paper, the environment and instructional strategies for successful learning are firstly examined. In addition, the existing evaluation items in traditional classroom are also analyzed in order to develop new evaluation criteria in the web. Based on these analyzed items, we propose new evaluation items for cooperative web-based learning. In addition, the proposed items related to participant ratio, cooperability, and accountability are analyzed according to team organization styles and instructional models.