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The affect of Writing Programs on the Writing Strategies of College Students - Focused on the Occupational Therapy Students - (글쓰기 프로그램이 대학생의 글쓰기 전략에 미치는 영향 - 작업치료 전공 학생 중심으로 -)

  • Paik, Young-Rim
    • The Journal of Korean society of community based occupational therapy
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    • v.8 no.1
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    • pp.45-54
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    • 2018
  • Objective : It is one of the most important job tasks to write to occupational therapist, so I want to apply the writing program to the students who use mobile language as the main communication and to investigate the effect. Methods : This study was conducted with 7 freshman students for a total of 10 sessions, once a week, for 2 hours at a time. In addition, after reading the recommended books, I made a total of two manuscripts with the book report and then carried out the supplementary instruction. Changes in the writing program were made using self - questionnaires and changes in the writing of the manuscripts were confirmed by the number of times. Results : As a result of the self-questionnaire, the participants considered the logical aspect of the writing and the consistency of the writing after participating in the writing program, and after the writing, the grammatical aspect was reviewed and the sentence was revised. In addition, the number of secondary corrections was reduced by an average of 7 times more than the number of primary corrections. Conclusion : In order to create a document which is one of the important tasks for occupational therapist, systematic education will be needed to create a more logical and grammatical error-free article.

The SMC Model: Identification of Artistically Gifted Students from Low Income Families (사회적 배려대상 예술영재 판별모형 개발)

  • Lee, Seon-Young
    • Journal of Gifted/Talented Education
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    • v.22 no.1
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    • pp.87-115
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    • 2012
  • This study is about the development of an identification model for artistically gifted students from low income and/or multi-cultural families. Given that parental support at early ages is crucial for talent development, students from low income families are often dismissed in recognizing their artistic giftedness. Based on a comprehensive literature review and consultations with experts in art, the SMC model was developed to identify disadvantaged gifted students in the areas of music, visual arts, and ballet. The model consists of three steps of identification, such as review of documents and teacher recommendations, evaluations of artistic giftedness, and a summative evaluation, and involves multiple criteria for identifying giftedness in both domain general and domain specific arts. SMC is promising in discovering many unrecognized disadvantaged children of artistic potential, thereby using various quantitative and qualitative measures. Yet, issues of validity and reliability of SMC need to be substantiated by subsequent theoretical and empirical studies.

Web Mining Using Fuzzy Integration of Multiple Structure Adaptive Self-Organizing Maps (다중 구조적응 자기구성지도의 퍼지결합을 이용한 웹 마이닝)

  • 김경중;조성배
    • Journal of KIISE:Software and Applications
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    • v.31 no.1
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    • pp.61-70
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    • 2004
  • It is difficult to find an appropriate web site because exponentially growing web contains millions of web documents. Personalization of web search can be realized by recommending proper web sites using user profile but more efficient method is needed for estimating preference because user's evaluation on web contents presents many aspects of his characteristics. As user profile has a property of non-linearity, estimation by classifier is needed and combination of classifiers is necessary to anticipate diverse properties. Structure adaptive self-organizing map (SASOM) that is suitable for Pattern classification and visualization is an enhanced model of SOM and might be useful for web mining. Fuzzy integral is a combination method using classifiers' relevance that is defined subjectively. In this paper, estimation of user profile is conducted by using ensemble of SASOM's teamed independently based on fuzzy integral and evaluated by Syskill & Webert UCI benchmark data. Experimental results show that the proposed method performs better than previous naive Bayes classifier as well as voting of SASOM's.

Development of a Data Structure for Human Library Services (휴먼 라이브러리 서비스를 위한 데이터 구조 개발)

  • Han, Seunghee;Lee, Hyewon
    • The Journal of the Korea Contents Association
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    • v.18 no.9
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    • pp.569-583
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    • 2018
  • In this study, we suggested a data structure for the management of human libraries based on the analysis of the significant components for systematically managing and operating the human library service. At first, we proposed the components of human library metadata set which are 'Human Resource', 'Human Resource', 'Librarian', 'Volunteer', and 'User'. And this study verified the meta concepts of metadata set such as 'Human Library', 'Human Book' and 'User', developed the metadata set for human library using the meta concepts. To check the validity of the metadata set and to improve its usability, we created and published a XML document including the metadata structure and link between the meta concepts. In conclusion, this study provided the possibility that the library could develop the service recommended human book to user through user profile.

A Study on Personalized Search System Based on Subject Classification (주제분류 기반의 개인화 검색시스템에 관한 연구)

  • Kim, Kwang-Young;Kwak, Seung-Jin
    • Journal of the Korean Society for Library and Information Science
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    • v.45 no.4
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    • pp.77-102
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    • 2011
  • The purpose of this study is to design, implement and evaluate a personalized search system using gathered information on users to provide more accurate search results. For this purpose, a hybrid-based user profile is constructed by using subject classification. In order to evaluate the performance of the proposed system, experts directly measured and evaluated MRR, MAP and usability by using the Korean journal articles of science and technology DB. Its performance was better than the general search system in the area of "Computer Science" and "Library and Information Science". Especially better results were shown when tested on ambiguous keywords. Evaluation through in-depth interviews proved that the proposed personalized search system was more efficient in looking up and obtaining information. In addition, the proposed personalized search system provided a variety of recommendation systems which proved helpful in navigating for new information. High user satisfaction ratings on the proposed personalized search system were another proof of its usefulness. In this study, we were able to prove through expert evaluation that the proposed personalized search system was more efficient in information retrieval.

Improvement of the Semantic Information Retrieval using Ontology and Spearman Correlation Coefficients (온톨로지 기술과 스피어만 상관계수를 적용한 시맨틱 정보 검색 향상)

  • Lee, Byungwook
    • Journal of Digital Convergence
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    • v.11 no.11
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    • pp.351-357
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    • 2013
  • Information retrieval by query keywords have some mismatching problems to fit user's requirement for the retrieved documents due to the varieties of users. These problems are originated from the different situations and characteristics of user's requirement. Also, it has a problem that general correlation coefficients did not display the information relations. In this thesis, it is to suggest knowledge retrieval system to verify feasibility of personnel selection procedure and results supporting selection rules after construction of personnel selection ontologies and rules composed of various concept and knowledge based on the semantic web technology. In the suggested system, it is to clear disadvantages of limited information retrieval providing the suitable information to satisfy user's different situations and characteristics using Spearman's coefficients. Experimental results by this semantic-based information retrieval show 90.3% of accuracy and 71.8% of recall compared with legacy keyword information retrieval.

An Adaptive Web Surfing System for Supporting Autonomous Navigation (자동항해를 지원하는 적응형 웹 서핑 시스템)

  • 국형준
    • Journal of KIISE:Software and Applications
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    • v.31 no.4
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    • pp.439-446
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    • 2004
  • To design a user-adaptive web surfing system, we nay take the approach to divide the whole process into three phases; collecting user data, processing the data to construct and improve the user profile, and adapting to the user by applying the user profile. We have designed three software agents. Each privately works in each phase and they collaboratively support adaptive web surfing. They are IIA(Interactive Interface Agent), UPA(User Profile Agent), and ANA(Autonomous Navigation Agent). IIA provides the user interface, which collects data and performs mechanical navigation support. UPA processes the collected user data to build and update the user profile while user is web-surfing. ANA provides an autonomous navigation mode in which it automatically recommends web pages that are selected based on the user profile. The proposed approach and design method, through extensions and refinements, may be used to build a practical adaptive web surfing system.

On-Device Gender Prediction Framework Based on the Development of Discriminative Word and Emoticon Sets (특징적 단어 및 이모티콘 집합을 활용한 모바일 기기 내 성별 예측 프레임워크)

  • Kim, Solee;Choi, Yerim;Kim, Yoonjung;Park, Kyuyon;Park, Jonghun
    • KIISE Transactions on Computing Practices
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    • v.21 no.11
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    • pp.733-738
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    • 2015
  • User demographic information is necessary in order to improve the quality of personalized services such as recommendation systems. Mobile data, especially text data, is known to be effective for prediction of user demographic information. However, mobile text data has privacy issues so that its utilization is limited. In this regard, we introduce an on-device gender prediction framework utilizing mobile text data while minimizing the privacy issue. Discriminative word and emoticon sets of each gender are constructed from web documents written by authors of each gender. After gender prediction is performed by comparing discriminative word and emoticon sets with a user's mobile text data, an ensemble method that combines two prediction results draws a final result. From experiments conducted on real-world mobile text data, the proposed on-device framework shows promising results for gender prediction.

Development of an open source-based APT attack prevention Chrome extension (오픈소스 기반 APT 공격 예방 Chrome extension 개발)

  • Kim, Heeeun;Shon, Taeshik;Kim, Duwon;Han, Gwangseok;Seong, JiHoon
    • Journal of Platform Technology
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    • v.9 no.3
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    • pp.3-17
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    • 2021
  • Advanced persistent threat (APT) attacks are attacks aimed at a particular entity as a set of latent and persistent computer hacking processes. These APT attacks are usually carried out through various methods, including spam mail and disguised banner advertising. The same name is also used for files, since most of them are distributed via spam mail disguised as invoices, shipment documents, and purchase orders. In addition, such Infostealer attacks were the most frequently discovered malicious code in the first week of February 2021. CDR is a 'Content Disarm & Reconstruction' technology that can prevent the risk of malware infection by removing potential security threats from files and recombining them into safe files. Gartner, a global IT advisory organization, recommends CDR as a solution to attacks in the form of attachments. There is a program using CDR techniques released as open source is called 'Dangerzone'. The program supports the extension of most document files, but does not support the extension of HWP files that are widely used in Korea. In addition, Gmail blocks malicious URLs first, but it does not block malicious URLs in mail systems such as Naver and Daum, so malicious URLs can be easily distributed. Based on this problem, we developed a 'Dangerzone' program that supports the HWP extension to prevent APT attacks, and a Chrome extension that performs URL checking in Naver and Daum mail and blocking banner ads.

A Study on The Improvement for Professor Research Achievement Evaluation Applying a Case Study of Foreign Universities (외국대학 사례 조사를 통한 교수 연구업적평가 개선방안에 관한 연구)

  • Ji Hei Kang;Jongwook Lee;Yong Hwan Kim;Younghee Noh
    • Journal of Korean Library and Information Science Society
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    • v.53 no.4
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    • pp.211-232
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    • 2022
  • Research performance evaluation has been based heavily on quantitative criteria. Various limitations however were revealed and the demand for excellence in research quality was growing and the importance of qualitative evaluation factors was increasing as well. The study investigates and introduces cases for improving research evaluation that have appeared around the world since 2010. To extract qualitative factors that can be introduced in research achievement evaluation in Korea this study investigated and organized the performance evaluation cases of foreign universities and proposed the introduction of the evaluation method in Korea. Qualitative evaluation factors were extracted by analyzing achievement evaluation documents evaluation procedures and evaluation standards of top 10 universities around the world. As a results this study proposes the use of various performance evaluation documents mulch-faceted evaluation and multi-level performance evaluation process and various qualitative performance evaluation standards. In traditional bibliometrics, while the degree of citation was measured when generating research evaluation indicators, future indicators may reflect recommendation scores as indicators, or include industrial connectivity and utilization in education / industry. It is hoped that the performance evaluation method will be balanced through this paper and ultimately the professor's research achievement evaluation will be a process that can help individuals grow into excellent researchers and develop the research environment.