• Title/Summary/Keyword: Brainstorming

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A Study on the Necessary Factors to Establish for Public Institutions Big Data System (공공기관 빅데이터 시스템 구축 시 고려해야 할 측정항목에 관한 연구)

  • Lee, Gwang-Su;Kwon, Jungin
    • Journal of Digital Convergence
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    • v.19 no.10
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    • pp.143-149
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    • 2021
  • As the need to establish a big data system for rapid provision of big data and efficient management of resources has emerged due to rapid entry into the hyper-connected intelligence information society, public institutions are pushing to establish a big data system. Therefore, this study analyzed and combined the success factors of big data-related studies and the specific aspects of big data in public institutions based on the measurement of environmental factors for establishing an integrated information system for higher education institutions. In addition, 19 measurement items reflecting big data characteristics were derived from big data experts using brainstorming and Delphi methods, and a plan to successfully apply them to public institutions that want to build big data systems was proposed. We hope that this research results will be used as a foundation for the successful establishment of big data systems in public institutions.

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.

Local community case management service and regional case management council performance analysis through concept mapping (Concept mapping을 통한 지역사회 사례관리서비스와 지역사례관리협의체 성과 분석)

  • Jang, Yu Mi
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.4
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    • pp.37-44
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    • 2022
  • The purpose of this study is to investigate how the local community case management council perceives the expected outcome of the council and case management service by participating actors in order to establish the identity and direction of the activities of the council through concept mapping. A total of 12 practitioners from participating organizations freely expressed and shared their opinions about the case management service performance with the local community case management council in a brainstorming manner, producing a total of 42 statements. Through concept mapping, participants were empowered in the decision-making process, and their opinions were not alienated, but were accepted and rationally handled. It can be said that it is important to provide an opportunity for the participants to discuss on an equal footing in the decision-making process. Through this, it can be seen that the agreement between the case management council and the case management service was quickly reached, and the direction for subsequent activities was clearly set.

The Relationship between Formative and Summative Assessments Using the Mosoteach App in College EFL Classes in China (Mosoteach 앱을 이용한 중국 대학 EFL 수업 형성평가와 총괄평가와의 관계)

  • Liu, Dianping;Kim, Yang-Hee
    • Journal of Digital Convergence
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    • v.19 no.8
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    • pp.275-283
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    • 2021
  • This study was intended to help improve assessment in college EFL classes by examining the relationship between formative assessment (FA) and summative assessment (SA). Participants for the study were 75 undergraduates, taking an eight-week optional college English course at a four-year college in China. FA data were collected in the final course of the course by a self-reporting survey using the online training platform Mosoteach. To achieve the finding, the relationship between FA scores and SA scores (final exam and performance scores) was analyzed in SPSS by means of Pearson correlation analyses. Significant positive correlations were found between FA and SA scores overall. In addition, students' performance on chapter tests, online discussions, brainstorming, quick-responses, assignments and the number of thumbs-up clicks by teachers were significantly correlated with SA scores. The results suggested that FA administered through the Mosoteach app could improve students' academic performance, thus providing an empirical basis for improving educational assessment. Based on these findings, implications for assessment in EFL classes were described.

Developing User Persona Based on the Factors of Visitor Recreation Activities in Hongneung Experimental Forest

  • Jang, Youn-Sun;Yoo, Rhee-Hwa;Lee, Jeong-Hee
    • Journal of People, Plants, and Environment
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    • v.22 no.5
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    • pp.525-539
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    • 2019
  • Much research has been conducted on user behavior by taking surveys and interviews to plan the green space effectively. However, there is a limitation in understanding detailed user characteristics such as personalities and values. This study applied the Persona-based Scenario Method (PSM) to Hongneung Experimental Forest to understand the detailed needs and behaviors of the users in the forest recreation area. The PSM is a user experience modeling technique, which tries to understand the users by describing the type of users as real people. This study 1) extracts the factors of visitor recreation activities in Hongneung Experimental Forest based on the results of the survey, 2) develops user personas based on the results of survey and comes up with activity factors, and 3) designs user scenarios. As a result of applying the PSM, 64 factors of visitor activities were derived from the observation survey in 14 sites of Hongneung Experimental Forest and 25 key factors of visitor activities were chosen through observer's brainstorming. Second, three types of personas were developed considering the key factors and the results of user characteristics with quantitative and qualitative analysis. Lastly, context scenarios were designed by applying the key factors of visitor recreation activities to the persona model. We identified the design problems of the space and design requirements through the scenarios. This study has significance in that it takes an approach from the user perspective and was applied to the forest recreation area, which was mainly used in product design. The developed personas could be used for deriving design elements and setting the direction for planning considering detailed needs, behaviors and characteristics of users.

Research on Components for Developing a Reading Competency Diagnostic Tool for Children and Adolescents with Disabilities (장애 아동·청소년 독서역량 진단도구 개발을 위한 구성요인 연구)

  • Soo-Kyoung Kim;Seongsook Choi;Jurng Hyun Whang;Sungune Yoon
    • Journal of Korean Library and Information Science Society
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    • v.54 no.3
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    • pp.129-163
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    • 2023
  • The purpose of this study is to identify reading competency and its components according to the concept of reading competency in order to strengthen the reading competency of children and adolescents with disabilities, develop diagnostic questions, and provide basic data for the development of a reading competency diagnostic tool for children and adolescents with disabilities, Research methods include literature research, brainstorming, delphi survey, and preliminary research. As a result of the study, the components of the reading competency diagnostic tool are broadly divided into 2 areas (affective domain, environmental domain), 4 categories (reading motivation, reading attitude, human environment, and physical environment), and a total of 13 components in each of the 4 categories (Reading interest, reading value, reading recognition, reading expectations, reading habits, reading efficacy, reading immersion, reading anxiety (avoidance), home/family, school/teacher, peers, reading environment, media environment) and the corresponding questions. was developed. Based on these results, a direction for developing a reading competency diagnostic tool for children and adolescents with disabilities was presented.

Brainstorming using TextRank algorithms and Artificial Intelligence (TextRank 알고리즘 및 인공지능을 활용한 브레인스토밍)

  • Sang-Yeong Lee;Chang-Min Yoo;Gi-Beom Hong;Jun-Hyuk Oh;Il-young Moon
    • Journal of Practical Engineering Education
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    • v.15 no.2
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    • pp.509-517
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    • 2023
  • The reactive web service provides a related word recommendation system using the TextRank algorithm and a word-based idea generation service selected by the user. In the related word recommendation system, the method of weighting each word using the TextRank algorithm and the probability output method using SoftMax are discussed. The idea generation service discusses the idea generation method and the artificial intelligence reinforce-learning method using mini-GPT. The reactive web discusses the linkage process between React, Spring Boot, and Flask, and describes the overall operation method. When the user enters the desired topic, it provides the associated word. The user constructs a mind map by selecting a related word or adding a desired word. When a user selects a word to combine from a constructed mind-map, it provides newly generated ideas and related patents. This web service can share generated ideas with other users, and improves artificial intelligence by receiving user feedback as a horoscope.

Enabling Factors Affecting Knowledge Transfer and Business Process of Community Enterprise Groups in Thailand

  • Nawapon Kaewsuwan;Ruthaychonnee Sittichai;Jirachaya Jeawkok
    • Journal of Information Science Theory and Practice
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    • v.12 no.1
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    • pp.1-20
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    • 2024
  • This research aims to study and confirm enabling factors affecting the knowledge transfer and business process of community enterprise groups in Pattani province, Thailand. Key informants were community enterprise entrepreneurs; 30 people were selected purposively with criteria. This study used a mixed-methods approach and conducted semi-structured interviews to collect data. Qualitative data were analyzed using content analysis and classification, while quantitative data were analyzed using descriptive statistics with frequency, percentage, mean, and standard deviation. Moreover, inferential statistics chi-square value, Phi Cramer's V, and multiple regression analysis with the R program for statistical computing were employed to analyze the relationship between the variables, test the research hypothesis, and create forecasting equations. The research results revealed that the overview of enabling factors had a very high relationship (Cramer's V=0.965). Regarding community enterprise, it was found that enabling factors related to the knowledge transfer and business process consisted of four factors: regulations and administrative guidelines, business plan, reinforcement, and brainstorming. Reinforcement was the factor with the highest degree of correlation (Cramer's V=0.873) and predictor of influence on the knowledge transfer and business process (R2=0.670, p<0.05). This study's findings can lead to the developing of guidelines for promoting community enterprises properly and timely. These guidelines are expected to be used to develop knowledge about business models for community enterprises, which will help to improve their competency and competitiveness.

A study on the weighting of influence factors for tunnel collapse risk analysis (터널 붕괴 위험도 분석을 위한 영향인자 가중치 산정에 관한 연구)

  • Jeong-Heum Kim
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.26 no.4
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    • pp.315-326
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    • 2024
  • In this study, the Delphi method and AHP (analytic hierarchy process) were used to evaluate tunnel collapse risk from a comprehensive and multifaceted perspective. Influence factors were established through literature reviews, previous studies, and brainstorming sessions with expert groups, resulting in the construction of five main classification systems. A panel of 21 experts was formed, and three rounds of Delphi surveys were conducted to prevent errors and biases in the expert judgment process, thereby enhancing reliability. Ultimately, 14 influence factors were identified through CVR (content validity ratio) and COV (coefficient of variation) analyses of the experts' responses. Subsequently, the AHP method was applied to assess the relative importance of each influence factor and calculate the final composite weights. The timing of support and reinforcement had the highest priority, followed by groundwater inflow, joint conditions, support pattern levels, and auxiliary methods. These findings help identify the key factors affecting tunnel collapse risk and provide a foundation for developing strategies to improve tunnel safety.

The Causes Analysis for the Number of Patients Waiting in General X-ray Room (Focus on Utilization of Quality Improvement (QI)) (일반촬영실의 환자대기건수에 대한 원인별 분석 - QI 활용을 중심으로 -)

  • Dong, Kyung-Rae;Chung, Woon-Kwan;Kim, Chang-Bok;Park, Yong-Soon;Kim, Ho-Sung;Im, In-Chul;Lee, Chang-Lae;Shin, Gyoo-Seul
    • Journal of radiological science and technology
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    • v.31 no.4
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    • pp.337-346
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    • 2008
  • A questionaire survey was conducted for patients who had been examined at the Department of Radiology to investigate the items that need to be improved. Brainstorming was also conducted by team members to suggest the tactics that can efficiently perform the QI activity by selecting the most frequently answered topics for the reduction of waiting time of x-ray examination. From September 2006 to November 2007, number of patients before and after conducting QI was compared for 3 months by each category differentiated by types of detailed causes. A patient case was set as one shooting for one patient. After conducting QI, the waiting cases before conducting QI were evaluated for the method of improvement for 3 month through the QI team discussion and conducted by following the improvement method for the next 1 month and the waiting cases were measured and the difference before and after the QI activity was compared in percentage. 1. When patient waiting cases were compared before and after conducting QI activity against the causes of repetition, it resulted in 3.9% of reduction effect. 2. When patient waiting cases were compared before and after conducting QI activity against the causes for the lack of guiding, it resulted in 1.1% of reduction effect. 3. When patient waiting cases were compared before and after conducting QI activity against the causes of miss-inputting prescription, it resulted in 1.1% of reduction effect. 4. When patient waiting cases were compared before and after conducting QI activity against the causes for emergency patients, patients with acute pain and discomfort patients, it resulted in 12.0% of reduction effect. 5. When patient waiting cases were compared before and after conducting QI activity against the causes for shooting overlapping of outpatients and hospitalized patients, it resulted in 4.7% of reduction effect. There are many factors to reduce the patient waiting cases in radiography. The first step is for radiology department to find these factors through QI, to improve them, which is the reason why the QI team is organized to perform the QI activities.

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