• Title/Summary/Keyword: multimedia learning

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Implementation of a Web-based Virtual Educational System for Java Language Using Java Web Player (자바 웹플레이어를 이용한 웹기반 자바언어 가상교육시스템의 구현)

  • Kim, Dongsik;Moon, Ilhyun;Choi, Kwansun;Jeon, Changwan;Lee, Sunheum
    • The Journal of Korean Association of Computer Education
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    • v.11 no.1
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    • pp.57-64
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    • 2008
  • This paper presents a web-based virtual educational system for Java language, which consists of a management system named Java Web Player (JWP) and creative multimedia contents for the lectures of Java language. The JWP is a Java application program free from security problems by the Java Web Start technologies that supports an integrated learning environment including three important learning procedures: Java concept learning process, programming practice process and assessment process. On-line voice presentation and its related texts together with moving images are synchronized for efficiently conveying creative contents to learners. Furthermore, a simple and useful compiler is included in the JWP for providing user-friendly language practice environment enabling such as coding, editing, executing, and debugging Java source files on the Web. Finally, simple multiple choices are given suddenly to the learners while they are studying through the JWP and the test results are displayed on the message box. In order to show the validity of the proposed virtual educational system we analysed and assessed the learners' academic performance on the five quizzes for one semester.

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Design and Evaluation of the Program on the Internet for Sexuality Education of Adolescences (사춘기 청소년의 성교육 활성화를 위한 인터넷기반 교수-학습 프로그램의 내용설계 및 평가도구 개발)

  • Kang, Nam-Mi;Kim, Young-Ran;Park, Young-Sook;Sohn, In-Sook;Lee, Sung-Ho
    • Women's Health Nursing
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    • v.8 no.4
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    • pp.595-607
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    • 2002
  • Sexuality education in the period of adolescents need much care and attention. The programs of sexual education through the Internet are excellent resources for adolescents to gain the information related to their sexual health. And systematic program which is necessary for adolescents to manage their sexual health has been rarely found in Korea. The purpose of this study was to offer valuable database for program design and evaluation on sexual education of middle school students through the Internet. Needs assessment for the information of sexual education on the internet among middle school students were carried out. A questionnaire survey was conducted with respondents of 602 middle school students from January to March in 2002. In the sexual counseling center for middle school students, counseling cases through internet were analyzed and evaluated from October, 2001 to September, 2002, We have selected 16 Sexual educational websites in Seoul confirmed Korean Educational Human Resource. Contents which was illustrated in 16 sexual educational websites were analyzed and evaluated by 12 sexual counselors. Design and evaluation of the program on the internet for sexuality education of adolescences was conducted on the basis of this study results by middle school expert teachers, sexual counselors, sexuality education professionals. Data was statistically analyzed using dBSTAT 4.0 for Windows. The extent and phase of the teaching-learning program of the sexuality education on the internet was seen as follows : 1. We evaluated to need for sexuality education on the internet by middle school student. 2. We assessed the properness of sexuality education curriculum on the internet frequently used by middle school students. 3. We designed teaching strategy and learning program for sexuality education of the middle school students. 4. We developed the assessment method for the teaching-learning program of the sexuality education in adolescences on the internet. Middle school students responded that sexual education through Internet is needed in the order of programs related to acquaintances with opposite sex, Sexual culture and ethics, Sexual health, Reproductive health structure and development, Marriage and family, Psychology of Sexuality, Pregnancy and birth. In the internet counseling, cases on the 'reproductive health structure and development' was ranked as the top. In short we have found the most needs as follows; Meaning of the marriage life and having family, Sexes and Love, Human relation, Sexual Culture.We recommend as follows on the basis of this study results: 1. It is necessary for sexuality education program on the internet to specify according to age and target the specific individual needs. 2. Sexual educators have to employ various educational materials such as flash, cartoon, multimedia in order to provide effective sexuality education. 3. Internet based sex education need to be evaluated regularly through reassessment of the effectiveness of sexuality education for content quality and richness.

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Personalized EPG Application using Automatic User Preference Learning Method (사용자 선호도 자동 학습 방법을 이용한 개인용 전자 프로그램 가이드 어플리케이션 개발)

  • Lim Jeongyeon;Jeong Hyun;Kim Munchurl;Kang Sanggil;Kang Kyeongok
    • Journal of Broadcast Engineering
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    • v.9 no.4 s.25
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    • pp.305-321
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    • 2004
  • With the advent of the digital broadcasting, the audiences can access a large number of TV programs and their information through the multiple channels on various media devices. The access to a large number of TV programs can support a user for many chances with which he/she can sort and select the best one of them. However, the information overload on the user inevitably requires much effort with a lot of patience for finding his/her favorite programs. Therefore, it is useful to provide the persona1ized broadcasting service which assists the user to automatically find his/her favorite programs. As the growing requirements of the TV personalization, we introduce our automatic user preference learning algorithm which 1) analyzes a user's usage history on TV program contents: 2) extracts the user's watching pattern depending on a specific time and day and shows our automatic TV program recommendation system using MPEG-7 MDS (Multimedia Description Scheme: ISO/IEC 15938-5) and 3) automatically calculates the user's preference. For our experimental results, we have used TV audiences' watching history with the ages, genders and viewing times obtained from AC Nielson Korea. From our experimental results, we observed that our proposed algorithm of the automatic user preference learning algorithm based on the Bayesian network can effectively learn the user's preferences accordingly during the course of TV watching periods.

IoT data processing techniques based on machine learning optimized for AIoT environments (AIoT 환경에 최적화된 머신러닝 기반의 IoT 데이터 처리 기법)

  • Jeong, Yoon-Su;Kim, Yong-Tae
    • Journal of Industrial Convergence
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    • v.20 no.3
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    • pp.33-40
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    • 2022
  • Recently, IoT-linked services have been used in various environments, and IoT and artificial intelligence technologies are being fused. However, since technologies that process IoT data stably are not fully supported, research is needed for this. In this paper, we propose a processing technique that can optimize IoT data after generating embedded vectors based on machine learning for IoT data. In the proposed technique, for processing efficiency, embedded vectorization is performed based on QR such as index of IoT data, collection location (binary values of X and Y axis coordinates), group index, type, and type. In addition, data generated by various IoT devices are integrated and managed so that load balancing can be performed in the IoT data collection process to asymmetrically link IoT data. The proposed technique processes IoT data to be orthogonalized based on hash so that IoT data can be asymmetrically grouped. In addition, interference between IoT data may be minimized because it is periodically generated and grouped according to IoT data types and characteristics. Future research plans to compare and evaluate proposed techniques in various environments that provide IoT services.

A Case Study on Utilizing Open-Source Software SDL in C Programming Language Learning (C 프로그래밍 언어 학습에 공개 소스 소프트웨어 SDL 활용 사례 연구)

  • Kim, Sung Deuk
    • Journal of Practical Engineering Education
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    • v.14 no.1
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    • pp.1-10
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    • 2022
  • Learning C programming language in electronics education is an important basic education course for understanding computer programming and acquiring the ability to use microprocessors in embedded systems. In order to focus on understanding basic grammar and algorithms, it is a common teaching method to write programs based on C standard library functions in the console window and learn theory and practice in parallel. However, if a student wants to start a project activity or go to a deeper stage after acquiring some basic knowledge of the C language, using only the C standard library function in the console window limits what a student can express or control with the C program. For the purpose of making it easier for a student to use graphics or multimedia resources and increase educational value, this paper studies a case of applying Simple DirectMedia Layer (SDL), an open source software, into the C programming language learning process. The SDL-based programming course applied after completing the basic programming curriculum performed in the console window is introduced, and the educational value is evaluated through a survey. As a result, more than 56% of the respondents expressed positive opinions in terms of improved application ability, stimulating interest, and overall usefulness, and less than 4% of them had negative opinions.

Establishing Design Directions for Nutrition Education Materials for Early Elementary Students in South Korea (초등학교 저학년 영양교육 학습 자료의 디자인 방향 설정에 관한 연구)

  • Park, YuBin;Paik, JinKyung
    • Design Convergence Study
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    • v.14 no.2
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    • pp.1-16
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    • 2015
  • As childhood obesity and nutrition imbalance emerge as social issues in South Korea today, the development of education materials on diets and nutrition has become important and has been attempted in diverse ways. The present study was conducted on early elementary school students with the objective of establishing directions for the design of personalized nutrition education materials that can promote a proper, balanced diet for children through application in daily life of knowledge acquired from self-learning linked to nutrition education that is taking place in their schools. For this purpose, a review of previous theoretical literature on nutrition education for early elementary students was performed. Survey questions were formulated based on the advice of field experts in medicine, education, and design and the survey was conducted among 110 children from 1st and 2nd grade in two elementary schools, one in Seoul and the other in Changwon. The results obtained from the user evaluation suggested that the early elementary school students showed positive reaction to nutrition education, had preference for the type of learning using multimedia-based contents and quiz activities, were willing to learn about calorie-adjusted meals, preferred the Gothic typeface and orange and green colors. Furthermore, they showed positive opinion on the use of numerical surveying method and pictorial style similar to actual appearance in connection with nutrition-related information representation. and preferences regarding learning styles and design elements

Impact of Inner/External Motive of Children with Underachievement in Basic Learning on Academic Failure Tolerance, Depression and Academic Efficacy (기초학습부진아동의 내·외적동기에 따른 학업적 실패내성, 우울, 학업효능감에 미치는 영향)

  • Park, Soon-Gil;Cho, Jeung-Ryeul
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.5
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    • pp.135-142
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    • 2016
  • This study aimed to identify the correlation between internal/external motive, academic failure (emotion, behavior, task preference), depression (depressive emotion, behavioral disorder, loss of interest, self-degradation and physiological symptom), and academic efficacy of elementary school students with underachievement basic learning, and discover the influential variables on internal/external motive, targeting 56 elementary school students with underachievement in third and fifth grade of 10 elementary schools in G metropolitan city. The research conducted T-test to figure out the difference between the children with underachievement by year and carried out theregression analysis to identify the predictors of self-determination motives. First, there was a difference between the third and fifth graders in terms of the external motives. Second, the influential variables for external motives of children with underachievement included depressive emotion, loss of interest and physiological symptom. Therefore, as more third graders with underachievement study under the external motives compared to the fifth graders, it is concluded necessary to adopt a program to reduce the variables for depression that influence the external motives.

A Comparison of Predicting Movie Success between Artificial Neural Network and Decision Tree (기계학습 기반의 영화흥행예측 방법 비교: 인공신경망과 의사결정나무를 중심으로)

  • Kwon, Shin-Hye;Park, Kyung-Woo;Chang, Byeng-Hee
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.4
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    • pp.593-601
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    • 2017
  • In this paper, we constructed the model of production/investment, distribution, and screening by using variables that can be considered at each stage according to the value chain stage of the movie industry. To increase the predictive power of the model, a regression analysis was used to derive meaningful variables. Based on the given variables, we compared the difference in predictive power between the artificial neural network, which is a machine learning analysis method, and the decision tree analysis method. As a result, the accuracy of artificial neural network was higher than that of decision trees when all variables were added in production/ investment model and distribution model. However, decision trees were more accurate when selected variables were applied according to regression analysis results. In the screening model, the accuracy of the artificial neural network was higher than the accuracy of the decision tree regardless of whether the regression analysis result was reflected or not. This paper has an implication which we tried to improve the performance of movie prediction model by using machine learning analysis. In addition, we tried to overcome a limitation of linear approach by reflecting the results of regression analysis to ANN and decision tree model.

Examining the Functions of Attributes of Mobile Applications to Build Brand Community

  • Yi, Kyonghwa;Ruddock, Mullykar;Kim, HJ Maria
    • Journal of Fashion Business
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    • v.19 no.6
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    • pp.82-100
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    • 2015
  • Mobile fashion apps present much opportunity for marketers to engage consumers, however not all apps provide enough functions for their targeted audience. This study aims to determine how mobile fashion apps can be used to build brand community with consumer engagement. Qualitative data on fashion mobile apps were collected from the Apple app store and Android market during the spring and summer of 2015. A total of 110 fashion mobile apps were collected;, 50 apps were identified as apparel brands that either manufacture or sell apparel to consumers, which we categorized as "brand" fashion apps, and the remaining 60 were categorized as "non-brand" fashion apps. The result of the study can be summarized as below. The 60 non-brand fashion apps were grouped into 5 app types: shopping, searching, sharing, organizational, and informational. The main functions are for informational use and shopping needs, since at least half (31 apps) are used for either retrieving information or for shopping. However, in contrast, social networking and location were infrequent and not commonly utilized by these apps. The most common type of non-brand fashion apps available were shopping apps;, many shopping apps enable users to shop from several different websites and save their items into one universal shopping cart so that they only check out once. Most of these apps are informational and help consumers make more informed decisions on purchases;, in addition many offer location services to help consumers find these items in store. While these apps perform several functions, they do not link to social media. The 50 brand apps were grouped into 5 brand types: athletic, casual, fast fashion, luxury, and retailer. These apps were also checked for attributes to determine their functionality. The result shows that the main functions of brand fashion apps are for information (82% of the 50 apps) as well as location searching (72% of 50 apps). Conversely, these apps do not offer any photo sharing, and very few have organizational or community functions. Fashion mobile apps and m-marketing elements: To build brand community, mobile apps can be designed to motivate consumer's engagement with brands. The motivations of fashion mobile apps are useful in developing fashion mobile apps. Entertainment motives can be fulfilled with multimedia attributes, functionality motives are satisfied with organizational and location-based features, information motives with informational service, socialization with community and social network, learning and intellectual stimulation from informational attributes, and trend following through photo sharing. The 8 key attributes of mobile apps can correspond to the 4 m-marketing elements (i.e., Informative content, multimedia, interactions, and product promotions) that are further intertwined with m-branding elements. App Attributes and M-Marketing aim to Build Brand Community;, the eight key attributes can impact on 4 m-branding elements, which further contribute to building brand community by affecting consumers' perceptions of brands preference and advocacy, and their likelihood to be loyal.

Impact of Social Networking Service on the Team Cooperation, Quality of Decision Making and Job Performance (SNS의 사용이 팀의 협력과 의사결정의 질 및 업무성과에 미치는 영향)

  • Kim, Yoon-Mi;Chung, Dong-Seop
    • Journal of Korea Multimedia Society
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    • v.17 no.2
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    • pp.180-190
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    • 2014
  • Social network services are increasingly being used in organizational settings to improve relationships among employees and enhance prospects for information exchange and cooperative work. Social Networking Service(SNS) has deeply penetrated organizational job settings, influencing multiple aspects of employee's life. This study is designed to explore the impact of SNS engagement on the job performance mediated as team cooperation and decision making quality effects. Data were collected from 146 employees who use organizational SNS in there company. Factor analysis and structural equation method are employed. Results from a survey accompanied by the substantial impacts of organizational employee's social networking engagement on social learning processes and outcomes. SNS engagement not only directly influences organizational employee's job performance, but also helps their team cooperation and decision making quality from others and adapt to organizational culture, both of which play prominent roles in improving their job performance.