• Title/Summary/Keyword: Learning with Media

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Application development guidelines for the students with developmental disability based on universal design for learning(UDL) (보편적 학습설계 관점에서 발달장애 학생을 위한 앱 개발 가이드라인)

  • Han, Dong-Wook;Kang, Min-Chae
    • Journal of Digital Convergence
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    • v.12 no.10
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    • pp.485-491
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    • 2014
  • The aim of this study is to suggest development guidelines of educational smart application for the students with development disability based on Universal Design for Learning(UDL). The basic guideline set were organized by analyzing UDL studies on different media. The totally 35 preliminary guidelines which consist of 14 items of contents presentation, 12 items of education strategy and 9 items of education engagement were settled through review of smart contents expert developer and professors in special education. Based on the preliminary guideline, a survey was conducted to determine effective guidelines among end users which consist of the teachers who educate students with disability, parents with disabled children and professors in special education major. 3 categories and 20 guidelines are presented by analyzing survey result through excluding items whose importance factor were lower than average of importance.

Social Issue Risk Type Classification based on Social Bigdata (소셜 빅데이터 기반 사회적 이슈 리스크 유형 분류)

  • Oh, Hyo-Jung;An, Seung-Kwon;Kim, Yong
    • The Journal of the Korea Contents Association
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    • v.16 no.8
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    • pp.1-9
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    • 2016
  • In accordance with the increased political and social utilization of social media, demands on online trend analysis and monitoring technologies based on social bigdata are also increasing rapidly. In this paper, we define 'risk' as issues which have probability of turn to negative public opinion among big social issues and classify their types in details. To define risk types, we conduct a complete survey on news documents and analyzed characteristics according to issue domains. We also investigate cross-medias analysis to find out how different public media and personalized social media. At the result, we define 58 risk types for 6 domains and developed automatic classification model based on machine learning algorithm. Based on empirical experiments, we prove the possibility of automatic detection for social issue risk in social media.

A Study on Education Application of Digital Concrete Poetry through the Web Interactivity (웹 인터랙티비티를 통한 디지털 구체시의 교육적 활용에 관한 연구)

  • Park, Min-Hee;Kim, Jung-A;Yim, Sung-Yul;Choung, Yu-Jean;Kim, Dong-Ho
    • 한국HCI학회:학술대회논문집
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    • 2008.02b
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    • pp.97-102
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    • 2008
  • In this paper, we propose an educational content which can be applied to the web interactivity. Rapidly growing digital media has been applied to various fields and made people experience multiple media. The development of digital media also influenced education. As a result, the environment of computer-based education was produced based on CD-ROM titles, video, and the web. Active communication with students is impossible using traditional educational methods. However, the students' motive for learning can be enhanced through the digital media. In this paper, we apply concrete poetry which is simple, brief, and focused on visualization to the web environment. It has made people easily and interactively access the web to learn better through participation. We also applied concrete poetry to the web based educational games for self-motivated learning.

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Grounded Theory Approach to the Procedure of International Students' Learning Korean (국제 유학생들의 한국어 학습과정에 대한 근거이론적 연구)

  • KIM, A-Young;KANG, E-Wha;KIM, Dae-Hyun
    • Journal of Fisheries and Marine Sciences Education
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    • v.21 no.4
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    • pp.523-542
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    • 2009
  • The purpose of this study was to figure out the procedure of learning Korean for international students. A research question was set up as follows: What is the procedure of leaning Korean for international students in Korean universities? To achieve the research purpose, this study implemented a method of semi-constructed interviews. Nineteen international students participated in the interview. The collected data for this study included transcripts from each interview. The transcripts of 60 minutes of interviews with all the participants was audio-taped recorded. This study investigated the research question based on the grounded theory. The analysis of open coding, axial-coding, and selective coding was used in the study. Results indicated that international students learned Korean in a daily basis, and then they adapted to academic Korean in their majored fields. Both personality and mother tongue influenced Korean language learning positively and negatively. International students' improvement of Korean was related in studying with Korean mass media such as TV soap dramas, talk shows, and songs. International students think that TOPIK(Test Of Proficiency In Korean) is not much related with their Korean language fluency. In conclusion, the researchers suggested to give more emphasis on academic training courses for Korean language and to improve the TOPIK in general academic Korean.

Detecting Fake News about COVID-19 Infodemic Using Deep Learning and Content Analysis

  • Olga Chernyaeva;Taeho Hong;YongHee Kim;YoungKi Park;Gang Ren;Jisoo Ock
    • Asia pacific journal of information systems
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    • v.32 no.4
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    • pp.945-963
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    • 2022
  • With the widespread use of social media, online social platforms like Twitter have become a place of rapid dissemination of information-both accurate and inaccurate. After the COVID-19 outbreak, the overabundance of fake information and rumours on online social platforms about the COVID-19 pandemic has spread over society as quickly as the virus itself. As a result, fake news poses a significant threat to effective virus response by negatively affecting people's willingness to follow the proper public health guidelines and protocols, which makes it important to identify fake information from online platforms for the public interest. In this research, we introduce an approach to detect fake news using deep learning techniques, which outperform traditional machine learning techniques with a 93.1% accuracy. We then investigate the content differences between real and fake news by applying topic modeling and linguistic analysis. Our results show that topics on Politics and Government services are most common in fake news. In addition, we found that fake news has lower analytic and authenticity scores than real news. With the findings, we discuss important academic and practical implications of the study.

Virtual Domino: Interactive Physics Simulation and Experience

  • Shahab, Qonita M.;Kwon, Yong-Moo;Ko, Hee-Dong
    • 한국HCI학회:학술대회논문집
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    • 2006.02a
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    • pp.954-959
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    • 2006
  • Virtual Reality simulation enables immersive 3D experience of a Virtual Environment. A simulation-based VE can be used to map real world phenomena into virtual experience. This research studies on the use of Newton's physics law to demonstrate the effects of forces upon object's falling movement, and their effects towards other fallible objects. A reconfigurable simulation enables users to reconfigure the parameters of the objects involved in the simulation, so that they can see different effects from the different configurations, such as force magnitude and distance between objects. This concept is suitable for a classroom learning of physics law. Preliminary implementation is done on a PC with a joystick for 4DOF movement. The graphics is implemented by SGI OpenGL Performer. A middleware called NAVERLib that consists of Performer's modules for easy XML-based configuration is used for management of visualization, network and devices connection, and where the engine of this domino simulation is attached.

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SURF based Hair Matching and VR Hair Cutting

  • Sung, Changjo;Park, Kyoungsoo;Chin, Seongah
    • International journal of advanced smart convergence
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    • v.11 no.3
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    • pp.49-55
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    • 2022
  • Hair styling has a significant influence on human social perception. An increasing number of people are learning hair styling and obtaining hair designer licenses. However, it takes a considerable amount of money and time to learn professional hairstyle and beauty techniques for hair styling. Since COVID-19, there has been a growing need for offline and video lectures due to the decline in onsite training opportunities. This study provides a field practice environment in which real hair beauty is performed in a virtual space. Further, the hairstyle that is most similar to the user's hair taken with a webcam or mobile phone is determined through an image matching system using the speeded up robust features (SURF) method. The matching hairstyle was created into a three-dimensional (3D) hair model. The created 3D hair model uses a head-mounted display (HMD) and a controller that enables finger tracking through mapping to reproduce the haircutting scissors' motion while providing a feeling of real hair beauty.

Effects of Scaffolding on Writing Apprehension and Media Literacy in Engineering Freshmen's Synchronous Online Writing Course (공과대학 신입생의 동시적 온라인 글쓰기 수업에서 스캐폴딩이 쓰기 불안과 미디어 리터러시에 미치는 영향)

  • Hwang, Soonhee
    • Journal of Engineering Education Research
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    • v.25 no.1
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    • pp.33-45
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    • 2022
  • This study aims to investigate effects of scaffolding on writing apprehension and media literacy in engineering freshmen's synchronous online writing course, and the relationships between the two variables. 'Scaffolding' is in-time support provided by a teacher/tutor or competent peer that enables students to meaningfully gain skills at problem solving process. Also, it is one of the most frequently mentioned concepts in education as well as one of the more necessary teaching strategies in an online writing course. In this study, provided treatments for the experiment were supportive scaffolding for domain-specific knowledge and reflective scaffolding for meta-cognitive knowledge. Participants were 102 engineering undergraduate students, who were assigned to two experimental groups by scaffolding types. A process-based writing course in online learning environment was conducted for 8 weeks. The writing tasks were given according to writing process. The findings were that, firstly, there were statistically significant writing apprehension's reduction and self-expression's improvement through the scaffolding provided in writing class. Secondly, writing apprehension's reduction and self-expression's improvement were significant in supportive scaffolding group. Thirdly, media literacy predicted writing apprehension. The practical implications of these findings are discussed herein, with particular attention on ways for writing apprehension's reduction as well as media literacy's enhancement.

Student-Perspective Sources of Environmental Learning in South Korea (학생관점에서 접근해 본 한국에서의 환경학습 기회)

  • Bakkensen, Laura A.
    • Journal of the Korean Geographical Society
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    • v.42 no.5
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    • pp.769-787
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    • 2007
  • This study aims to uncover sources of environmental learning from a student perspective using the previously unstudied case of South Korea. literature from other countries credits many sources of learning, including: media, school, personal sources, and non-governmental organizations. This analysis is based on focus group and questionnaire data collected during in-country field work. Results from South Korea are then compared with other studies carried out in the Asia-Pacific and the Western developed world. The results show that, similar to other countries including Australia, China, and India; South Korean students learn about the environment mainly through the media and schools. Television, schools, and domestic internet web pages were found to be some of the most-used sources of environmental information in South Korea, while more personal sources, such as community, family, and friends, were found to play an overall lesser instructive role. When compared internationally, South Korean students often exhibited less trust in the reliability of various sources, especially business, community, and foreign sources of information.

Development of Prediction of Electric Arc Risk using Object Dection Model (객체 탐지 모델을 활용한 전기 아크 위험성 예측 시스템 개발)

  • Lee, Gyu-bin;Kim, Seung-yeon;An, Donghyeok
    • Smart Media Journal
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    • v.9 no.1
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    • pp.38-44
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    • 2020
  • Due to the high dependence on electric energy, electric fires make up a significant portion of fires in Korea. Electric arcs by short circuits or poor contact cause three of four electrical fires. An electric arc is a discharge phenomenon of electrical current between the insulators, which instantaneously produces high temperature. In order to reduce the fire due to electric arc, this study aims to predict the electric arc risk. We collected arc data from the arc detectors and converted into graphs based on temporal arc data. We used machine learning for training converted graph with different number of temporal arc data. To measure the performance of the learning model, we use the test data. In the results, when the number of temporal arc data was 20, the prediction rate was high as 86%.