• Title/Summary/Keyword: Learning Interest

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Current Status and Tasks of Faculty Development Programs for Medical Education in Korea (국내 의학교육 교수개발 프로그램 현황과 과제)

  • Kwi Hwa Park;Kyung Hye Park
    • Korean Medical Education Review
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    • v.25 no.1
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    • pp.17-34
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    • 2023
  • This study aimed to investigate the current status of faculty development (FD) programs operated by medical colleges and institutions in Korea, and to suggest future-oriented directions for FD. A survey was conducted targeting medical colleges and medical education institutions that operate FD programs. We investigated the reasons for selecting topics, program themes, program operation methods, longitudinal program status, program improvement and quality control methods, the evaluation of the program effects, the outcomes and problems of the programs, and opinions on the latest trends. Twenty-nine out of 40 medical colleges and three out of six institutions responded. Topics were selected based on an analysis of medical education trends and the educational environment in both groups. The most common program themes were assessments in medical colleges, and teaching/learning and curriculum themes in institutions. FD was perceived to induce professors' and administrators' interest in medical education and improve the quality of medical education. The most common program method was workshops. Three medical colleges and one institution had longitudinal programs. Participant surveys constituted the most common method of evaluating programs' effects. Difficulties in publicizing programs and inducing voluntary participation were the most common problems in both groups. New attempts for FD were perceived as the role of external institutions. Based on the results, it is necessary to develop a framework and quality improvement indications for FD programs in the future, and FD programs are expected to be developed through new initiatives, such as longitudinal programs and those focusing on the community of practice.

Development of Dog Name Recommendation System for the Image Abstraction (이미지 추상화 기법을 이용한 반려견 이름 추천 시스템 개발)

  • Jae-Heon Lee;Ye-Rin Jeong;Mi-Kyeong Moon;Seung-Min Park
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.2
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    • pp.313-320
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    • 2023
  • The cumulative registration status of dogs is from 1.07 million in 2016 to 2.32 million in 2020. Animal registration is increasing by more than 10% every year, and accordingly, a name must be decided when registering a dog. We want to give a name that fits the characteristics of a dog's appearance, but there are many difficulties in naming it. This paper explains the development of a system for recognizing dog images and recommends dog names based on similar objects or food. This system extracts similarities with dogs' images through models that learn images of various objects and foods, and recommends dog names based on similarities. In addition, by recommending additional related words based on the image data of the result value, it was possible to provide users with various options, increase convenience, and increase interest and fun. Through this system, it is expected that users will be able to solve their concerns about naming their dogs, check names that suit their dogs comfortably, and give them various options through various recommended names to increase satisfaction.

Spatio-Temporal Projection of Invasion Using Machine Learning Algorithm-MaxEnt

  • Singye Lhamo;Ugyen Thinley;Ugyen Dorji
    • Journal of Forest and Environmental Science
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    • v.39 no.2
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    • pp.105-117
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    • 2023
  • Climate change and invasive alien plant species (IAPs) are having a significant impact on mountain ecosystems. The combination of climate change and socio-economic development is exacerbating the invasion of IAPs, which are a major threat to biodiversity loss and ecosystem functioning. Species distribution modelling has become an important tool in predicting the invasion or suitability probability under climate change based on occurrence data and environmental variables. MaxEnt modelling was applied to predict the current suitable distribution of most noxious weed A. adenophora (Spreng) R. King and H. Robinson and analysed the changes in distribution with the use of current (year 2000) environmental variables and future (year 2050) climatic scenarios consisting of 3 representative concentration pathways (RCP 2.6, RCP 4.5 and RCP 8.5) in Bhutan. Species occurrence data was collected from the region of interest along the road side using GPS handset. The model performance of both current and future climatic scenario was moderate in performance with mean temperature of wettest quarter being the most important variable that contributed in model fit. The study shows that current climatic condition favours the A. adenophora for its invasion and RCP 2.6 climatic scenario would promote aggression of invasion as compared to RCP 4.5 and RCP 8.5 climatic scenarios. This can lead to characterization of the species as preferring moderate change in climatic conditions to be invasive, while extreme conditions can inhibit its invasiveness. This study can serve as reference point for the conservation and management strategies in control of this species and further research.

Speed Prediction and Analysis of Nearby Road Causality Using Explainable Deep Graph Neural Network (설명 가능 그래프 심층 인공신경망 기반 속도 예측 및 인근 도로 영향력 분석 기법)

  • Kim, Yoo Jin;Yoon, Young
    • Journal of the Korea Convergence Society
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    • v.13 no.1
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    • pp.51-62
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    • 2022
  • AI-based speed prediction studies have been conducted quite actively. However, while the importance of explainable AI is emerging, the study of interpreting and reasoning the AI-based speed predictions has not been carried out much. Therefore, in this paper, 'Explainable Deep Graph Neural Network (GNN)' is devised to analyze the speed prediction and assess the nearby road influence for reasoning the critical contributions to a given road situation. The model's output was explained by comparing the differences in output before and after masking the input values of the GNN model. Using TOPIS traffic speed data, we applied our GNN models for the major congested roads in Seoul. We verified our approach through a traffic flow simulation by adjusting the most influential nearby roads' speed and observing the congestion's relief on the road of interest accordingly. This is meaningful in that our approach can be applied to the transportation network and traffic flow can be improved by controlling specific nearby roads based on the inference results.

Information Needs and Information Seeking Behaviors of Students in the Science School for Gifted (과학영재학교 학생들의 정보요구 및 정보이용행태에 관한 연구)

  • Haein Park;Jee Yeon Lee
    • Journal of the Korean Society for information Management
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    • v.40 no.2
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    • pp.33-57
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    • 2023
  • This study aims to analyze students' information needs and information-seeking behavior at science schools for gifted through in-depth interviews. The research design was conducted based on previous studies. Through in-depth interviews, this study examined ten students from six out of eight science schools for the gifted in Korea for information needs and overall information-seeking behavior. The results showed the information needs of students at science schools for gifted in the areas of curricular and extracurricular activities as well as the information-seeking behavior in teaching, learning, and research activities, which were the main topics of interest to students based on the ISP model. Based on these results, we identified the preferred information sources in the information-seeking process and discussed the peculiarities and implications of students' information-seeking behavior. The research is meaningful as it can be used as a basis for further research on the science school for gifted library and as a resource for providing services for students with deep interests and talents in science subject areas.

A Study on Mentoring for University Librarians: Case Study of P University Library (대학도서관 사서의 멘토링에 관한 연구 - P대학교 도서관을 중심으로 -)

  • Lee, Cheol-Chan
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.19 no.2
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    • pp.187-198
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    • 2008
  • If mentoring is performed in university libraries for mentors, the senior librarians with much experience and mentees, the juniors with less or no experience, how would they respond to it and what would be the mentoring they wish to do? This study aims to find those out by analyzing data. For this, it referred to literature and conducted a survey with the subject of the librarians at the P university library. As a result, they showed relatively higher intentions to participate in mentoring. Their highest interest topics were their job related advice or consultation. For the mentor-mentee matching, they wished to have such relationship from the board organized in the library, or mentees wanted to select. They chose work ability as the most important requirement for their partners involved in the mentoring. They responded that the best mentor-mentee matching would be 1:1 and less than a year would be appropriate for the mentoring period. As shown above, most of the librarians showed intentions to participate in mentoring for their professional development and self-learning opportunity; therefore, university libraries should publicize librarians' mentoring actively and develop various programs for it.

A Study on Exploring Direction for Future Education for the Common Good Based on Big Data (빅데이터 기반 공동선 증진을 위한 미래교육 방향성 탐색 연구)

  • Kim, Byung-Man;Kim, Jung-In;Lee, Young-Woo;Lee, Kang-Hoon
    • Journal of Convergence for Information Technology
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    • v.12 no.2
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    • pp.37-46
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    • 2022
  • The purpose of this study is to provide basic data onto preparing soft landing plan of future education policy by exploring direction of future education for the common good using big data and keyword network analysis. Based on the big data provided by Textom, data was collected under the keyword 'future education + common Good' and then keyword network analysis was performed. As a result of the research, it was found that 'common good', 'social', 'KAIST future warning', 'measures', 'research', 'future education', 'politics' were common keywords in the social awareness of future education for the common good. The results of this study suggest that the social awareness of future education for the common good is related to factors related to human, physical environment, social response, academic interest, education policy, education plan, and related variables, It was closely related. Based on these results, we suggested implications for the support for the preparation of a soft landing plan of future education for the common good.

Research on the Educational Effect and Satisfaction of Cooking Activities for Children (아동 요리활동의 교육적 효과 및 만족도 조사)

  • Park, Hee-Na;Jeong, Hee-Sun;Joo, Na-Mi
    • Journal of the Korean Society of Food Culture
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    • v.23 no.4
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    • pp.455-461
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    • 2008
  • The purpose of this study was to investigate the actual conditions, satisfaction towards, and effects of children's cooking activity programs held at children's cooking schools, which have recently been gaining interest as an effective integrated educational method. Also, based on the results, the study provides information on good teaching-learning methods, which can be applied to kindergarten and elementary schools. The results of the evaluation showed that 84.1% of the respondents were satisfied with the educational aspects of the programs. People were most satisfied with the teachers' "teaching ability", and were least satisfied with "the educational fees". The satisfaction scores for the children's cooking programs were higher when they were performed in a school class environment as compared to a cultural center environment, and children who had participated for more than 12 months were more satisfied than those who had only participated 1 to 3 months. Quantitatively, of the 24 measured evaluation categories grouped into 6 fields that measured the effects of participation in the cooking programs, the greatest effects were found on the children's self-confidence and sense of achievement in the social emotion field, and the lowest effect was found on their writing ability in the language field. In addition, scores were higher when the cooking activities were performed in a private cooking school environment as compared to a cultural center environment. Scores were also higher when the educational program lasted 7 to 9 months as compared to only 1 to 3 months.

Topic-oriented Liberal English Class Plan for Foreign Learners at University (대학생 외국인 학습자를 위한 주제 중심의 교양 영어 수업방안)

  • Kim Hye-Jeong
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.111-117
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    • 2023
  • The aim of this study is to present a practical teaching plan for liberal arts English classes that target foreign students. Foreign learners who do not have Korean language proficiency at the university level may struggle to understand the contents of liberal arts classes conducted by Korean language professors. In this study, six topics were selected (K-culture, Online game, Harry Potter, Disney, Marvel, DC) and topic-centered participatory class activities using various media were developed. A questionnaire was conducted to analyze learners' attitudes toward and perceptions regarding topic-oriented classes. It showed that learners' satisfaction with topic-based classes was high (75%), and the reasons for this high level of satisfaction were the instructors' caring attitudes, the comfortable class atmosphere, and the fun learners had in class. Learners also reported high satisfaction with various participatory class activities (81.9%), citing the learning benefits, their increased interest and motivation, and the efficiency of participatory classes. As globalization continues to increase the number of foreign students in South Korea, the need to develop realistic class plans and various class activities that are suitable for them is becoming more and more urgent.

Trends in Patents for Numerical Analysis-Based Financial Instruments Valuation Systems (수치해석 기반 금융상품 가치평가 시스템 특허 동향)

  • Moonseong Kim
    • Journal of Internet Computing and Services
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    • v.24 no.6
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    • pp.41-47
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    • 2023
  • Financial instruments valuation continues to evolve due to various technological changes. Recently, there has been increased interest in valuation using machine learning and artificial intelligence, enabling the financial market to swiftly adapt to changes. This technological advancement caters to the demand for real-time data processing and facilitates accurate and effective valuation, considering the diverse nature of the financial market. Numerical analysis techniques serve as crucial decision-making tools among financial institutions and investors, acknowledged as essential for performance prediction and risk management in investments. This paper analyzes Korean patent trends of numerical analysis-based financial systems, considering the diverse shifts in the financial market and asset data to provide accurate predictions. This study could shed light on the advancement of financial technology and serves as a gauge for technological standards within the financial market.