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      • KCI등재후보

        Developing a World Geography Gamification Lesson Plan with Digital Tools

        조수지,변지원 한국유통과학회 2024 4차산업연구 Vol.4 No.1

        Purpose: The purpose of this study is to develop a geography class teaching and learning guide that enables learners to realistically explore the characteristics of the world's climate and geographical environment using digital tools. Research design, data and methodology: We review previous research on classes using goal-based scenario learning models, gamification, and digital tools, and explore tools that can be applied to world geography classes. Based on the exploration results, a goal-based scenario learning module is designed and a strategy for promoting educational gamification is established based on the ADDIE instructional design model. Results: The study comprises four sessions. Sessions 1-3 involve performance evaluations using a goal-based scenario learning module. Learners create game characters reflecting geographical characteristics, present results, and proceed with 3D modeling. In Session 4, a gamification class using Google Sites on the CoSpaces metaverse platform will be conducted. Conclusions: The study introduces a goal-based scenario learning model and a gamification class using digital tools to empower learners in exploring geographical diversity and its impact on lifestyles. Utilizing an accessible online platform, the study provides practical measures for integrating digital tools into geography education, addressing the current importance of digital technology in teaching.

      • KCI등재

        재무분야 감성사전 구축을 위한 자동화된 감성학습 알고리즘 개발

        조수지,이기광,양철원 한국산업경영시스템학회 2023 한국산업경영시스템학회지 Vol.46 No.1

        Recently, many studies are being conducted to extract emotion from text and verify its information power in the field of finance, along with the recent development of big data analysis technology. A number of prior studies use pre-defined sentiment dictionaries or machine learning methods to extract sentiment from the financial documents. However, both methods have the disadvantage of being labor-intensive and subjective because it requires a manual sentiment learning process. In this study, we developed a financial sentiment dictionary that automatically extracts sentiment from the body text of analyst reports by using modified Bayes rule and verified the performance of the model through a binary classification model which predicts actual stock price movements. As a result of the prediction, it was found that the proposed financial dictionary from this research has about 4% better predictive power for actual stock price movements than the representative Loughran and McDonald’s (2011) financial dictionary. The sentiment extraction method proposed in this study enables efficient and objective judgment because it automatically learns the sentiment of words using both the change in target price and the cumulative abnormal returns. In addition, the dictionary can be easily updated by re-calculating conditional probabilities. The results of this study are expected to be readily expandable and applicable not only to analyst reports, but also to financial field texts such as performance reports, IR reports, press articles, and social media.

      • KCI등재

        유튜브 주식채널의 감성을 활용한 코스피 수익률 등락 예측

        조수지,양철원,이기광 한국산업경영시스템학회 2023 한국산업경영시스템학회지 Vol.46 No.2

        Recently in Korea, YouTube stock channels increased rapidly due to the high social interest in the stock market during the COVID-19 period. Accordingly, the role of new media channels such as YouTube is attracting attention in the process of generating and disseminating market information. Nevertheless, prior studies on the market forecasting power of YouTube stock channels remain insignificant. In this study, the market forecasting power of the information from the YouTube stock channel was examined and compared with traditional news media. To measure information from each YouTube stock channel and news media, positive and negative opinions were extracted. As a result of the analysis, opinion in channels operated by media outlets were found to be leading indicators of KOSPI market returns among YouTube stock channels. The prediction accuracy by using logistic regression model show 74%. On the other hand, Sampro TV, a popular YouTube stock channel, and the traditional news media simply reported the market situation of the day or instead showed a tendency to lag behind the market. This study is differentiated from previous studies in that it verified the market predictive power of the information provided by the YouTube stock channel, which has recently shown a growing trend in Korea. In the future, the results of advanced analysis can be confirmed by expanding the research results for individual stocks.

      • KCI등재

        스테로이드제 중단 이후 반동 현상이 발생한 아토피 피부염의 치험 2례

        조수지,김철윤,하우람,권강,Jo, Su-Ji,Kim, Chul-Yun,Ha, U-ram,Kwon, Kang 대한한방안이비인후피부과학회 2021 한방안이비인후피부과학회지 Vol.34 No.1

        Objectives : Steroids are often administered to atopic patients as hormone preparations, often causing side effects. This study is intended to present the possibility of Korean medicine treatment for patients who have had side effects due to steroids in atopic dermatitis by relieving side effects and improving symptoms through Korean medicine such as Hwangryounhaedok-tang and Siryeong-tang. Methods : 2 patients who had atopic dermatitis and rebound phenomenon after steroids treatment were treated by herbal medicine, herbal acupuncture, acupuncture and external preparations. Photographs of the lesions, SCORAD(Scoring atopic dermatitis) index were used to evaluate the changes in symptoms. Results : The SCORAD index of the first patient improved from 55.6 to 24.3 in 4 months. The SCORAD index of the second patient improved from 44.7 to 21.3 in 3 months. Conclusions : In the situation where symptoms of atopic dermatitis patients due to steroid rebound phenomenon have worsened, Korean medicine treatments played a important role in alleviating symptoms and improving SCORAD index scores.

      • KCI등재

        글로벌 금융시대 한국 주식시장의 애널리스트 허딩 행태에 따른 텍스트 정보력 연구

        조수지 한국통상정보학회 2023 통상정보연구 Vol.25 No.2

        금융시장의 글로벌 통합으로 실시간에 가깝게 투자정보가 확산되고 있는 현 시점에서 국내·외 투자 활성화를 위해서는 자본시장에서 정보불균형에 대한 해소가 필수적이다. 애널리스트는 자본시장과 투자자 사이 정보불균형을 해소함으로써 시장 효율성을 높이는 역할을 수행한다. 그러나 애널리스트의 무리행동, 즉 허딩 행태는 정보의 질을 약화시켜 금융시장의 비효율성을 초래할 수 있다. 본 연구에서는 최근 빅데이터 분석 기술의 발달로 인해 텍스트와 같은 비정형 자료의 활용도가 높아지고 있음에 주목하여, 애널리스트 허딩 행태에 따른 정보력에 보고서 본문의 텍스트가 미치는 영향을 검증하였다. 이를 위하여 애널리스트 보고서 본문에 나타난 긍정 및 부정 감성을 최대 2-gram 단위 단어로 추출하고 재무 분야에서 널리 사용되는 감성 사전인 Loughran과 McDonald(2011)의 긍·부정어 리스트와 병합하였다. 분석 결과 애널리스트가 컨센서스에서 벗어난 ‘소신’ 의견을 제시하는 경우 보고서 본문의 감성이 ‘동조’ 의견에 비하여 극단적으로 나타났다. 또한, 긍정 감성이 애널리스트 허딩 행태에 따른 보고서 정보력을 약화함을 확인하였다. 본 연구결과를 통해 국내·외 투자자 간 정보비대칭 문제를 완화할 수 있을 것으로 기대된다. 본 연구에서 사용한 감성 추출 방법은 뉴스, 소셜 미디어, 또는 기업공시 보고서 등 다른 종류의 텍스트에 쉽게 확장·적용이 가능할 것으로 사료된다.

      • KCI등재

        외상신념과 이차적 외상 스트레스의 관계에서 침투적 반추의 매개효과

        조수지,하정희 학습자중심교과교육학회 2023 학습자중심교과교육연구 Vol.23 No.1

        Objectives The purpose of this study was to examine the relationship between traumatic beliefs, invasive rumination, and secondary traumatic stress in adults who experienced indirect trauma, and to verify the mediating effect of invasive rumination in the relationship between traumatic beliefs and secondary traumatic stress. Methods In order to verify the research hypothesis, a questionnaire survey was conducted on a total of 354 people. Among them, 33 copies were excluded and analyzed based on 321 copies. The scales used were the Trauma and Attachment Belief Scale (TABS), the Korean Event Related Rumination Inventory (ERRI), and the Invasive Rumin Scale, the Secondary Traumatic Stress Scale (KSTSS). Based on the collected data, it was analyzed through SPSS 21.O and PROCESS macro 3.4 program. The results of this study are as follows. Results First, as a result of examining the demographic variables of this study, most people (20.2%) experienced ‘accidents and injuries (traffic accidents, industrial accidents, fires, explosions, etc.)’ as indirect trauma, and ‘Most people answered (35.2%) because they felt sorry for their family or neighbors. In addition to trauma survivors, this is significant in that it helps in the treatment and counseling strategies of family and acquaintances exposed indirectly. Second, this study was targeted at general adults considering that indirect trauma studies targeting general adults were insufficient, including domestic studies, because prior work on the subject of indirect trauma was mainly targeted at practitioners related to trauma. Is meaningful in that respect. Third, it is significant in that the study results provide information about the main symptoms and the effects of secondary trauma stress in a counseling scene with a client who has experienced indirect trauma and suggests that it is a cognitive direction. Conclusions Based on the above results, we can examine the characteristics of adults who experienced indirect trauma and the main variables affecting secondary trauma stress, and posttraumatic stress disorder (PTSD), which can occur in trauma survivors, indirectly injuries trauma. It was found that even those who experienced it could occur with secondary traumatic stress. Finally, limitations were discussed for further study. 목적 본 연구에서는 일반 성인의 외상신념과 이차적 외상 스트레스의 관계에서 침투적 반추의 매개효과를 분석하였다. 이를 통해간접외상 또한, 외상 후 스트레스(PTSD)와 비슷한 맥락으로 외상성 스트레스에 도달하는 과정을 매개효과를 검증하는 것으로써밝혀내고자 하였다. 방법 이를 위하여 간접외상을 경험한 성인 321명을 대상으로 자기보고식 설문지를 통해 간접외상의 주요 종류와 원인을 수집 및통계내었으며, Pearson 상관분석을 통해 외상신념, 이차적 외상 스트레스, 침투적 반추와의 관계를 분석하였다. 마지막으로PROCESS macro를 통해 외상신념과 이차적 외상 스트레스의 관계에서 침투적 반추의 부분 매개효과를 분석하였다. 결과 가장 많은 이들이 응답한 간접외상의 종류는 ‘사고 및 상해’였고, 주요 원인은 ‘가족 혹은 주변인을 향해 안쓰러운 마음이 들어서’ 라고 응답하였다. 연구 결과에서는 세 변인 간의 관계에서 모두 유의미한 정적상관을 보였으며, 외상신념과 이차적 외상 스트레스의관계에서 침투적 반추가 부분 매개 효과 역할을 하여 본 연구 초기 모형과 일치하였다. 이는 이차적 외상 스트레스에 도달하는 과정을부분 매개효과로 검증한 것으로 본 연구 목적을 달성하였다고 보여진다. 결론 본 연구 결과를 통해 외상신념이 이차적 외상 스트레스의 활성화 및 유지를 돕는다는 점과 외상신념에서 인지도식의 불일치를침투적 반추가 부분 매개한다는 점을 밝혀 선행연구들과 맥락을 같이하였다. 또한 이는 외상 후 스트레스 장애(PTSD)뿐만이 아니라간접외상을 경험한 대상에게도 침투적 반추를 매개로 이차적 외상 스트레스에 이를 것이라는 선행 연구들을 지지하였다.

      • KCI등재

        재해기상 언론기사 빅데이터를 활용한 피해정보 자동 분류기 개발

        조수지,이기광 한국산업경영시스템학회 2023 한국산업경영시스템학회지 Vol.46 No.3

        Recently, the importance of impact-based forecasting has increased along with the socio-economic impact of severe weather have emerged. As news articles contain unconstructed information closely related to the people’s life, this study developed and evaluated a binary classification algorithm about snowfall damage information by using media articles text mining. We collected news articles during 2009 to 2021 which containing ‘heavy snow’ in its body context and labelled whether each article correspond to specific damage fields such as car accident. To develop a classifier, we proposed a probability-based classifier based on the ratio of the two conditional probabilities, which is defined as I/O Ratio in this study. During the construction process, we also adopted the n-gram approach to consider contextual meaning of each keyword. The accuracy of the classifier was 75%, supporting the possibility of application of news big data to the impact-based forecasting. We expect the performance of the classifier will be improve in the further research as the various training data is accumulated. The result of this study can be readily expanded by applying the same methodology to other disasters in the future. Furthermore, the result of this study can reduce social and economic damage of high impact weather by supporting the establishment of an integrated meteorological decision support system.

      • KCI등재

        Monitoring of Pyrethroid Resistance Allele Frequency in the Common Bed Bug (Cimex lectularius) in the Republic of Korea

        조수지,Heung Chul Kim,Sung Tae CHONG,Terry A. Klein,권덕호,Si Hyeock Lee,김주현 대한기생충학ㆍ열대의학회 2020 The Korean Journal of Parasitology Vol.58 No.1

        Two-point mutations (V419L and L925I) on the voltage-sensitive sodium channel of bed bugs (Cimex lectularius) are known to confer pyrethroid resistance. To determine the status of pyrethroid resistance in bed bugs in Korea, resistance allele frequencies of bed bug strains collected from several US military installations in Korea and Mokpo, Jeollanam-do, from 2009-2019 were monitored using a quantitative sequencing. Most bed bugs were determined to have both of the point mutations except a few specimens, collected in 2009, 2012 and 2014, having only a single point mutation (L925I). No susceptible allele was observed in any of the bed bugs examined, suggesting that pyrethroid resistance in bed bug populations in Korea has reached a serious level. Large scale monitoring is required to increase our knowledge on the distribution and prevalence of pyrethroid resistance in bed bug populations in Korea. Based on present study, it is urgent to restrict the use of pyrethroids and to introduce effective alternative insecticides. A nation-wide monitoring program to determine the pyrethroid resistance level in bed bugs and to select alternative insecticides should be implemented.

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