• Title/Summary/Keyword: personalized academic contents

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The Technique of Reference-based Journal Recommendation Using Information of Digital Journal Subscriptions and Usage Logs (전자 저널 구독 정보 및 웹 이용 로그를 활용한 참고문헌 기반 저널 추천 기법)

  • Lee, Hae-sung;Kim, Soon-young;Kim, Jay-hoon;Kim, Jeong-hwan
    • Journal of Internet Computing and Services
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    • v.17 no.5
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    • pp.75-87
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    • 2016
  • With the exploration of digital academic information, it is certainly required to develop more effective academic contents recommender system in order to accommodate increasing needs for accessing more personalized academic contents. Considering historical usage data, the academic content recommender system recommends personalized academic contents which corresponds with each user's preference. So, the academic content recommender system effectively increases not only the accessibility but also usability of digital academic contents. In this paper, we propose the new journal recommendation technique based on information of journal subscription and web usage logs in order to properly recommend more personalized academic contents. Our proposed recommendation method predicts user's preference with the institution similarity, the journal similarity and journal importance based on citation relationship data of references and finally compose institute-oriented recommendations. Also, we develop a recommender system prototype. Our developed recommender system efficiently collects usage logs from distributed web sites and processes collected data which are proper to be used in proposed recommender technique. We conduct compare performance analysis between existing recommender techniques. Through the performance analysis, we know that our proposed technique is superior to existing recommender methods.

e-Learning System Design and Implementation for Small Sized Cyber Lecturing (소형 사이버강좌를 위한 e-Learning시스템 설계 및 구현 사례)

  • Seo, Chang-Gab;Park, Sung-Kyou
    • Information Systems Review
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    • v.6 no.2
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    • pp.161-179
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    • 2004
  • The purpose of this study is to suggest practical experience to develop small sized e-Learning system. The system is designed to help lecturers can arrange interface, organize contents, submit examinations and assess learner's score with no professional computing skills. The system has three advantages. First, it reduced implementation period through the use of GUI. Second, it is ordered to be personalized to construct format of the whole interface. Third, it has operational convenience which can be implemented on PC based system. These personalized features are enabling Learning on Demand. Also, there is comparatively low cost and high effectiveness on e-Learning implementation which facilitating quick adoption of e-Learning in its lectures.

Study on Activate Methods for Digital Contents Service to Support Academic Courses in e-Learning (e-Learning 강의 지원을 위한 디지털콘텐츠 서비스 활성화 방안연구 - I 대학 교수.학생.도서관서비스를 중심으로 -)

  • Lee, Jong-Won;Go, Chan
    • Journal of Digital Convergence
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    • v.8 no.2
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    • pp.89-102
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    • 2010
  • The present thesis aims to analyze in consideration of recent changes in teaching environment in the universities the commercial digital contents and e-learning courses provided by the libraries, and to propose the ways to encourage university library service needed under the current situation. A survey of professors and students upon the quality of commercial digital contents service provided by the libraries in I University was made to measure its influence upon e-learning courses. The quality of commercial digital contents service provided by libraries was measured through Digital Library Service Quality Index (which will be referred as DL-SQL Model from here), which is used as a model to examine the Digital Library Service, with partial adjustments of 4 levels (information system service, digital books service, customer service quality, and customer community service) and 7 components (search possibility, an exclusive organization and interface, accessibility, digital books, customer support service, personalized service, and customer community). Among the library services in regard to digital contents, "customer service" and "customer community service" were analyzed to have stronger influence upon e-learning teaching and studying than quality-based service for "information system" and "digital books". Consequently, it is concluded that customized information service provided by the library for the professors who teach e-learning courses and their students is more influential to supporting e-learning courses than quantity pushing service through purchasing commercial digital contents, upon which the direction of digital contents policy to provide library services for e-learning courses should be based.

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An Exam Prep App for the Secondary English Teacher Recruitment Exam with Brain-based Memory and Learning Principles (뇌 기억-학습 원리를 적용한 중등영어교사 임용시험 준비용 어플)

  • Lee, Hye-Jin
    • The Journal of the Korea Contents Association
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    • v.21 no.1
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    • pp.311-320
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    • 2021
  • At present, the secondary school teacher employment examination(SSTEE) is the only gateway to become a national and public secondary teacher in Korea, and after the revision from the 2014 academic year, all the questions of the exam have been converted to supply-type test items, requiring more definitive, accurate, and solid answers. Compared to the selection-type test items that measure recognition memory, the supply-type questions, testing recall memory, require constant memorization and retrieval practices to furnish answers; however, there is not enough learning tools available to support the practices. At this juncture, this study invented a mobile app, called ONE PASS, for the SSTEE. By unpacking the functional mechanisms of the brain, the basis of cognitive processing, this ONE PASS app offers a set of tools that feature brain-based learning principles, such as a personalized study planner, motivation measurement scales, mind mapping, brainstorming, and sample questions from previous tests. This study is expected to contribute to the research on the development of learning contents for applications, and at the same time, it hopes to be of some help for candidates in their exam preparation process.

Affecting Factors in Job-seeking Stress among Health Care Related Students (일 지역 보건의료계열 대학생의 취업스트레스 영향요인)

  • Bang, Miran;Sim, Sunsook
    • The Journal of the Korea Contents Association
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    • v.18 no.10
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    • pp.257-266
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    • 2018
  • The purpose of this study is to investigate the relationship between self-esteem, appearance satisfaction, interpersonal relationship, and job-seeking stress in health care related students and to investigate the factors influencing college students' job-seeking stress. A self-report type survey was conducted targeting a total of 184 of college students in a city from June 11 to 15, 2018 were enrolled. The results are as followed; The strongest predictor of job-seeking stress was self-esteem (${\beta}=-.407$, p<.001). Self-esteem, employment impact of appearance, academic grade accounted for 18.5% of job-seeking stress based on multiple regression analysis. In order to reduce the job-seeking stress of health care related students, it is necessary to develop a personalized employment program for each major field and individual that can improve the self-esteem of the individual.

A Case Study on Corporate Character Designs: A focus on Korean and the U.S. Cases (기업 캐릭터 디자인 사례 분석: 한국과 미국의 사례를 중심으로)

  • Jun, Jong Woo;Lee, Jong Yoon
    • The Journal of the Korea Contents Association
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    • v.22 no.2
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    • pp.162-172
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    • 2022
  • Using content analysis, this study explored design differences between Korean and the U.S. corporate characters. Top 100 corporate logs are collected from Korea and the United States. The results showed that Korean characters appear a group of or friends than the ones of the U.S. This result stems from the collective nature of Korea. Korea used more motif of things than the U.S., and Korean personalized characters more often that those of the U.S. Uses of human and animals did not showed statistical differences. In addition, it is found that Korea used blue as main color, and the U.S. used red as main color more often. The number of colors used in character design is not statistically different. These findings could provide academic implications that cultural differences could be adapted to corporate character marketing, and also provide managerial implications.

A Study on Multi-resolution Screen based Conference Broadcasting Technology (멀티 해상도 스크린 기반의 컨퍼런스 중계방송 기술 연구)

  • Kim, Young-ae;Yang, Ji-hee;Park, Goo-man
    • Journal of Broadcast Engineering
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    • v.23 no.2
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    • pp.253-260
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    • 2018
  • Personalized media broadcasting services can produce their own broadcasting contents with a variety of creative themes if they have just a transmission platform and devices that can obtain videos and voices of producers without the existing expensive equipment. In this paper, we develop and implement a new broadcasting system by applying this service framework to events such as seminars or academic conferences. The devices can be installed at each conference rooms and the integrated system transmitted to users. They can watch via their multi-resolution screen, such as smart-phones, laptops, and tablet PCs. It has the advantage of being able to receive real-time streaming and VOD services as well as additional information related to the conference. It is expected to provide convenience by allowing attendees to access the information via their devices, thereby creating an impact on participation and the underlying technology for the future research.

Understanding User Motivations and Behavioral Process in Creating Video UGC: Focus on Theory of Implementation Intentions (Video UGC 제작 동기와 행위 과정에 관한 이해: 구현의도이론 (Theory of Implementation Intentions)의 적용을 중심으로)

  • Kim, Hyung-Jin;Song, Se-Min;Lee, Ho-Geun
    • Asia pacific journal of information systems
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    • v.19 no.4
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    • pp.125-148
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    • 2009
  • UGC(User Generated Contents) is emerging as the center of e-business in the web 2.0 era. The trend reflects changing roles of users in production and consumption of contents on websites and helps us to understand new strategies of websites such as web portals and social network websites. Nowadays, we consume contents created by other non-professional users for both utilitarian (e.g., knowledge) and hedonic values (e.g., fun). Also, contents produced by ourselves (e.g., photo, video) are posted on websites so that our friends, family, and even the public can consume those contents. This means that non-professionals, who used to be passive audience in the past, are now creating contents and share their UGCs with others in the Web. Accessible media, tools, and applications have also reduced difficulty and complexity in the process of creating contents. Realizing that users create plenty of materials which are very interesting to other people, media companies (i.e., web portals and social networking websites) are adjusting their strategies and business models accordingly. Increased demand of UGC may lead to website visits which are the source of benefits from advertising. Therefore, they put more efforts into making their websites open platforms where UGCs can be created and shared among users without technical and methodological difficulties. Many websites have increasingly adopted new technologies such as RSS and openAPI. Some have even changed the structure of web pages so that UGC can be seen several times to more visitors. This mainstream of UGCs on websites indicates that acquiring more UGCs and supporting participating users have become important things to media companies. Although those companies need to understand why general users have shown increasing interest in creating and posting contents and what is important to them in the process of productions, few research results exist in this area to address these issues. Also, behavioral process in creating video UGCs has not been explored enough for the public to fully understand it. With a solid theoretical background (i.e., theory of implementation intentions), parts of our proposed research model mirror the process of user behaviors in creating video contents, which consist of intention to upload, intention to edit, edit, and upload. In addition, in order to explain how those behavioral intentions are developed, we investigated influences of antecedents from three motivational perspectives (i.e., intrinsic, editing software-oriented, and website's network effect-oriented). First, from the intrinsic motivation perspective, we studied the roles of self-expression, enjoyment, and social attention in forming intention to edit with preferred editing software or in forming intention to upload video contents to preferred websites. Second, we explored the roles of editing software for non-professionals to edit video contents, in terms of how it makes production process easier and how it is useful in the process. Finally, from the website characteristic-oriented perspective, we investigated the role of a website's network externality as an antecedent of users' intention to upload to preferred websites. The rationale is that posting UGCs on websites are basically social-oriented behaviors; thus, users prefer a website with the high level of network externality for contents uploading. This study adopted a longitudinal research design; we emailed recipients twice with different questionnaires. Guided by invitation email including a link to web survey page, respondents answered most of questions except edit and upload at the first survey. They were asked to provide information about UGC editing software they mainly used and preferred website to upload edited contents, and then asked to answer related questions. For example, before answering questions regarding network externality, they individually had to declare the name of the website to which they would be willing to upload. At the end of the first survey, we asked if they agreed to participate in the corresponding survey in a month. During twenty days, 333 complete responses were gathered in the first survey. One month later, we emailed those recipients to ask for participation in the second survey. 185 of the 333 recipients (about 56 percentages) answered in the second survey. Personalized questionnaires were provided for them to remind the names of editing software and website that they reported in the first survey. They answered the degree of editing with the software and the degree of uploading video contents to the website for the past one month. To all recipients of the two surveys, exchange tickets for books (about 5,000~10,000 Korean Won) were provided according to the frequency of participations. PLS analysis shows that user behaviors in creating video contents are well explained by the theory of implementation intentions. In fact, intention to upload significantly influences intention to edit in the process of accomplishing the goal behavior, upload. These relationships show the behavioral process that has been unclear in users' creating video contents for uploading and also highlight important roles of editing in the process. Regarding the intrinsic motivations, the results illustrated that users are likely to edit their own video contents in order to express their own intrinsic traits such as thoughts and feelings. Also, their intention to upload contents in preferred website is formed because they want to attract much attention from others through contents reflecting themselves. This result well corresponds to the roles of the website characteristic, namely, network externality. Based on the PLS results, the network effect of a website has significant influence on users' intention to upload to the preferred website. This indicates that users with social attention motivations are likely to upload their video UGCs to a website whose network size is big enough to realize their motivations easily. Finally, regarding editing software characteristic-oriented motivations, making exclusively-provided editing software more user-friendly (i.e., easy of use, usefulness) plays an important role in leading to users' intention to edit. Our research contributes to both academic scholars and professionals. For researchers, our results show that the theory of implementation intentions is well applied to the video UGC context and very useful to explain the relationship between implementation intentions and goal behaviors. With the theory, this study theoretically and empirically confirmed that editing is a different and important behavior from uploading behavior, and we tested the behavioral process of ordinary users in creating video UGCs, focusing on significant motivational factors in each step. In addition, parts of our research model are also rooted in the solid theoretical background such as the technology acceptance model and the theory of network externality to explain the effects of UGC-related motivations. For practitioners, our results suggest that media companies need to restructure their websites so that users' needs for social interaction through UGC (e.g., self-expression, social attention) are well met. Also, we emphasize strategic importance of the network size of websites in leading non-professionals to upload video contents to the websites. Those websites need to find a way to utilize the network effects for acquiring more UGCs. Finally, we suggest that some ways to improve editing software be considered as a way to increase edit behavior which is a very important process leading to UGC uploading.

A Literature Review and Classification of Recommender Systems on Academic Journals (추천시스템관련 학술논문 분석 및 분류)

  • Park, Deuk-Hee;Kim, Hyea-Kyeong;Choi, Il-Young;Kim, Jae-Kyeong
    • Journal of Intelligence and Information Systems
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    • v.17 no.1
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    • pp.139-152
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    • 2011
  • Recommender systems have become an important research field since the emergence of the first paper on collaborative filtering in the mid-1990s. In general, recommender systems are defined as the supporting systems which help users to find information, products, or services (such as books, movies, music, digital products, web sites, and TV programs) by aggregating and analyzing suggestions from other users, which mean reviews from various authorities, and user attributes. However, as academic researches on recommender systems have increased significantly over the last ten years, more researches are required to be applicable in the real world situation. Because research field on recommender systems is still wide and less mature than other research fields. Accordingly, the existing articles on recommender systems need to be reviewed toward the next generation of recommender systems. However, it would be not easy to confine the recommender system researches to specific disciplines, considering the nature of the recommender system researches. So, we reviewed all articles on recommender systems from 37 journals which were published from 2001 to 2010. The 37 journals are selected from top 125 journals of the MIS Journal Rankings. Also, the literature search was based on the descriptors "Recommender system", "Recommendation system", "Personalization system", "Collaborative filtering" and "Contents filtering". The full text of each article was reviewed to eliminate the article that was not actually related to recommender systems. Many of articles were excluded because the articles such as Conference papers, master's and doctoral dissertations, textbook, unpublished working papers, non-English publication papers and news were unfit for our research. We classified articles by year of publication, journals, recommendation fields, and data mining techniques. The recommendation fields and data mining techniques of 187 articles are reviewed and classified into eight recommendation fields (book, document, image, movie, music, shopping, TV program, and others) and eight data mining techniques (association rule, clustering, decision tree, k-nearest neighbor, link analysis, neural network, regression, and other heuristic methods). The results represented in this paper have several significant implications. First, based on previous publication rates, the interest in the recommender system related research will grow significantly in the future. Second, 49 articles are related to movie recommendation whereas image and TV program recommendation are identified in only 6 articles. This result has been caused by the easy use of MovieLens data set. So, it is necessary to prepare data set of other fields. Third, recently social network analysis has been used in the various applications. However studies on recommender systems using social network analysis are deficient. Henceforth, we expect that new recommendation approaches using social network analysis will be developed in the recommender systems. So, it will be an interesting and further research area to evaluate the recommendation system researches using social method analysis. This result provides trend of recommender system researches by examining the published literature, and provides practitioners and researchers with insight and future direction on recommender systems. We hope that this research helps anyone who is interested in recommender systems research to gain insight for future research.