• Title/Summary/Keyword: Collaborative activity

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Analysis of the Effect of Collaborative Problem-Solving Based Science Class on Students' Character Competency in the Elementary School Science 'Dissolution and Solution' Unit (초등학교 과학 '용해와 용액' 단원에서 협력적 문제해결에 기반한 수업이 학생들의 인성역량에 미치는 영향 분석)

  • Jiaeng, Park;Jihun, Park;Jeonghee, Nam
    • Journal of the Korean Chemical Society
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    • v.66 no.6
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    • pp.509-520
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    • 2022
  • This study investigated the impact of elementary school science classes based on collaborative problem-solving on the character competency of students. For this purpose, students from 2 classes in 5th grade at an elementary school in a metropolitan city were targeted, and elementary science classes based on collaborative problem-solving were developed and applied to the 5 topics selected from the 'dissolution and solution' unit in the elementary science curriculum. In order to investigate the effect of science class based on collaborative problem-solving on the character competency of students, results of the character competence test before and after the class, reflective writing activity sheets filled out by the students in the experimental group, and questionnaires regarding their changes in character competency after the class were analyzed. The results showed that elementary science classes based on collaborative problem-solving were effective in cultivating the character competence of elementary school students.

Designing a Library Collaborative Instruction Using the Archives of the National Debt Redemption Movement: Focusing on the Korean History Subject in High School (국채보상운동 기록물을 활용한 도서관협력수업 설계: 고등학교 한국사 교과를 중심으로)

  • Miae Song;Ji-won Lee
    • Journal of Korean Society of Archives and Records Management
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    • v.23 no.4
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    • pp.47-71
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    • 2023
  • Korea is a record powerhouse nation with the largest number of Memory of the World in the Asia-Pacific; however, active utilization of archives for future generations has been lacking. Therefore, this study sought to enhance interest in archives and utilize them directly in school lessons. The Korean National Debt Redemption Movement's archives, which were selected as a Memory of the World, were used in the school lessons, and based on them, a library collaborative instruction design was developed. A library collaborative instruction is a collaboration between the high school Korean history subject and the library information literacy instruction, designed in three sessions. Through the literature research-based design, a library collaborative instruction plan, teaching and learning plan, and activity sheets were derived. Implementing this designed library collaborative instruction is expected to stimulate interest in the Memory of the World, linking curriculum and archives at schools and significantly expanding the users of the archives into teachers and students.

A study on the facial palsy patients' use of Western-Korean collaborative treatment: Using Health Insurance Review & Assessment Service-National Patients Sample (얼굴마비 환자의 의·한의 협진 의료이용 연구: 건강보험심사평가원 환자표본 데이터를 이용)

  • Park, Hyo Sung;Uhm, Tae Woong;Kim, Nam Kwen
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.1
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    • pp.75-86
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    • 2017
  • The facial palsy is one of the most common illness in Western-Korean collaborative treatment (hereinafter "collaborative treatment"). The purpose of this study is to analyze facial palsy patients'collaborative treatment use patterns. By analysing the 2014 National Health Insurance Review and Assessment Patient Sample Data (NPS 2014) with the episode of care unit, we have found the following results. First, the collaborative treatment is preferred by patients over 50 years old and female. Second, western medicine mainly focuses on diagnosis and medical examination while korean medicine and collaborative treatment focus more on treatment activity. Third, western medicine showed the shortest treatment period, followed by korean medicine and collaborative treatment. However, the cost of medical treatment per day is highest in western medicine. The analysis of the use patterns of collaborative treatment shown in the study is expected to provide a direction for the development of clinical practice guidelines and the establishment of medical policies in the future.

A Study of an Instructional Design Strategy for Improving the Collaborative Teaching Between School Librarians and Subject Teachers in Library-Assisted Instruction (도서관 활용수업에서 사서교사와 교과교사의 협동수업 향상을 위한 교수설계 전략에 대한 연구)

  • Song, Gi-Ho
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.21 no.2
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    • pp.111-127
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    • 2010
  • This study aims for developing an instructional design strategy to improve collaborative teaching between teacher librarians and subject teachers in library-assisted instruction. Collaborative teaching is an important management activity enhancing teaching role of teacher librarians in their school community. But in the actual condition the level of the library-assisted instruction as its practical strategy is cooperation and subject teachers are leading teaching and learning except for selecting resources. Because library-assisted instruction is resource-based learning, the procedural knowledge of information literacy curricula and topics of subject specific curricula should be designed as a whole. Also, there must be possibilities of reducing trial and error and expanding successes. From these sides, the collaborative design strategy for library-assisted instruction can be planned like 'statement of learning situation-co designing-co teaching-co evaluating'.

Learning Presence Factors Affecting Learning Outcomes in Facebook-based Collaborative Learning Environments (페이스북 기반 협력학습 성과를 예측하는 학습실재감 요인 규명)

  • Lee, Jeongmin;Oh, Seungeun
    • Journal of The Korean Association of Information Education
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    • v.17 no.3
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    • pp.305-316
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    • 2013
  • Despite the potential implications of Facebook use, there is a distinct lack of empirically derived theory for designing learning environment. This may be because Facebook is a social tool and there has been limited opportunity for exploratory research regarding Facebook based learning. Therefore, the purpose of this study is to investigate learning presence factors affecting learning outcomes in Facebook-based collaborative learning. Forty two college students participated in the Facebook-based collaborative learning activity, and the data from thirty nine were used for step-wise multiple regression analysis. In addition focus group interview was conducted to examine learning presence of Facebook-based collaborative learning. The results reported that cognitive presence predicted significantly learning outcomes, however, social and emotional presence did not predict learning outcomes. The implication of this study and future research were discussed in this research.

A Recommender System Model Combining Collaborative filtering and SOM Neural Networks (협동적 필터링과 SOM 신경망을 결합한 추천시스템 모델)

  • Lee, Mi-Hee;Woo, Young-Tae
    • Journal of Korea Multimedia Society
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    • v.11 no.9
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    • pp.1213-1226
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    • 2008
  • A recommender system supports people in making recommendations finding a set of people who are likely to provide good recommendations for a given person, or deriving recommendations from implicit behavior such as browsing activity, buying patterns, and time on task. We proposed new recommender system which combined SOM(Self-Organizing Map) neural networks with the Collaborative filtering which most recommender systems hat applied First, we segmented user groups according to demographic characteristics and then we trained the SOM with people's preferences as ito inputs. Finally we applied the classic collaborative filtering to the clustering with similarity in which an recommendation seeker belonged to, and therefore we didn't have to apply the collaborative filtering to the whose data set. Experiments were run for EachMovies data set. The results indicated that the predictive accuracy was increased in terms of MAE(Mean-Absolute-Error).

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Purification and Identification of a Novel Antifungal Protein Secreted by Penicillium citrinum from the Southwest Indian Ocean

  • Wen, Chao;Guo, Wenbin;Chen, Xinhua
    • Journal of Microbiology and Biotechnology
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    • v.24 no.10
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    • pp.1337-1345
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    • 2014
  • A novel antifungal protein produced by the fungal strain Penicillium citrinum W1, which was isolated from a Southwest Indian Ocean sediment sample, was purified and characterized. The culture supernatant of P. citrinum W1 inhibited the mycelial growth of some plant pathogenic fungi. After saturation of P. citrinum W1 culture supernatants with ammonium sulfate and ion-exchange chromatography, an antifungal protein (PcPAF) was purified. The N-terminal amino acid sequence analysis showed that PcPAF might be an unknown antifungal protein. PcPAF displayed antifungal activity against Trichoderma viride, Fusarium oxysporum, Paecilomyces variotii, and Alternaria longipes at minimum inhibitory concentrations of 1.52, 6.08, 3.04, and $6.08{\mu}g/disc$, respectively. PcPAF possessed high thermostability and had a certain extent of protease and metal ion resistance. The results suggested that PcPAF may represent a novel antifungal protein with potential application in controlling plant pathogenic fungal infection.

Development of an online robot programming education system based on Web 2.0 (웹2.0 기반의 온라인 로봇 프로그래밍 교육시스템 개발)

  • Sung, Young-Hoon;Ha, Seok-Wun
    • Journal of The Korean Association of Information Education
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    • v.14 no.1
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    • pp.13-23
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    • 2010
  • In recent creativity becomes a new request in the knowledge and information age. Robot programming education is an effective teaching method for improvement of creativity. Existing robot programming tools includes text-based or GUI-based development environment. Most of programming tools provide a simple tutorial system without interactive activity for beginners. In this paper, we propose an online robot programming education system based on web2.0, which embedded collaborative code creating tool, interactive tutorial chat and video conference tool to support collaborative code creating via web 2.0. Knowledge sharing tool allows users to share their collaborative source code. Besides, it makes users gained the experience and knowledge of program designing efficiently.

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A Prospective Extension Through an Analysis of the Existing Movie Recommendation Systems and Their Challenges (기존 영화 추천시스템의 문헌 고찰을 통한 유용한 확장 방안)

  • Cho Nwe Zin, Latt;Muhammad, Firdaus;Mariz, Aguilar;Kyung-Hyune, Rhee
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.1
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    • pp.25-40
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    • 2023
  • Recommendation systems are frequently used by users to generate intelligent automatic decisions. In the study of movie recommendation system, the existing approach uses largely collaboration and content-based filtering techniques. Collaborative filtering considers user similarity, while content-based filtering focuses on the activity of a single user. Also, mixed filtering approaches that combine collaborative filtering and content-based filtering are being used to compensate for each other's limitations. Recently, several AI-based similarity techniques have been used to find similarities between users to provide better recommendation services. This paper aims to provide the prospective expansion by deriving possible solutions through the analysis of various existing movie recommendation systems and their challenges.

Survey for Movie Recommendation System: Challenge and Problem Solution (영화 추천 시스템을 위한 연구: 한계점 및 해결 방법)

  • Latt, Cho Nwe Zin;Aguilar, Mariz;Firdaus, Muhammad;Kang, Sung-Won;Rhee, Kyung-Hyune
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.05a
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    • pp.594-597
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    • 2022
  • Recommendation systems are a prominent approach for users to make informed automated judgments. In terms of movie recommendation systems, there are two methods used; Collaborative filtering, which is based on user similarities; and Content-based filtering which takes into account specific user's activity. However, there are still issues with these two existing methods, and to address those, a combination of collaborative and content-based filtering is employed to produce a more effective system. In addition, various similarity methodologies are used to identify parallels among users. This paper focuses on a survey of the various tactics and methods to find solutions based on the problems of the current recommendation system.