• Title/Summary/Keyword: learning outcomes

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A Case Study on the Operation of Career-Related Elective Subject in the High School Establishing and Using the Laboratory Facilities for Home Economics (가정실습실 공간 구축과 활용을 통한 진로 연계형 고등학교 선택 과목 운영 사례 연구)

  • Ko, Jae Yun;Kim, Eun Jeung
    • Journal of Korean Home Economics Education Association
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    • v.32 no.4
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    • pp.53-65
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    • 2020
  • This study aimed to suggest measures expand career-related elective subjects in the high schools through a case of establishing and utilizing a learning space for hands-on home economics classroom activities. Upon the trend reviews of elective subjects in the high school and literature reviews on the educational outcomes from home economics classrooms, a case of career-related elective subject by establishment of learning space related to home economics was proposed in two high schools in Seoul. The results are as follows: First, the trend in 2020 showed that selecting a home economics course as a career-related subject depends on school situations. The results of the survey at schools show that the utilization rate of hands-on learning space for home economics was high with high preference among students, but schools implicitly guided students to select courses that are related to preparation for university entrance. Second, reductions of class hours and decreased likelihood to offer courses in home economics in general high schools would influence the recruitment of teachers, which may ultimately result in a threat to the subject. However, through career-related activities, students may develop positive perception of the subject of home economics and consequently select the subject. Therefore, it is necessary to open and promote multiple elective courses related to home economics for the survival of subject of home economics.

Determination of Survival of Gastric Cancer Patients With Distant Lymph Node Metastasis Using Prealbumin Level and Prothrombin Time: Contour Plots Based on Random Survival Forest Algorithm on High-Dimensionality Clinical and Laboratory Datasets

  • Zhang, Cheng;Xie, Minmin;Zhang, Yi;Zhang, Xiaopeng;Feng, Chong;Wu, Zhijun;Feng, Ying;Yang, Yahui;Xu, Hui;Ma, Tai
    • Journal of Gastric Cancer
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    • v.22 no.2
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    • pp.120-134
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    • 2022
  • Purpose: This study aimed to identify prognostic factors for patients with distant lymph node-involved gastric cancer (GC) using a machine learning algorithm, a method that offers considerable advantages and new prospects for high-dimensional biomedical data exploration. Materials and Methods: This study employed 79 features of clinical pathology, laboratory tests, and therapeutic details from 289 GC patients whose distant lymphadenopathy was presented as the first episode of recurrence or metastasis. Outcomes were measured as any-cause death events and survival months after distant lymph node metastasis. A prediction model was built based on possible outcome predictors using a random survival forest algorithm and confirmed by 5×5 nested cross-validation. The effects of single variables were interpreted using partial dependence plots. A contour plot was used to visually represent survival prediction based on 2 predictive features. Results: The median survival time of patients with GC with distant nodal metastasis was 9.2 months. The optimal model incorporated the prealbumin level and the prothrombin time (PT), and yielded a prediction error of 0.353. The inclusion of other variables resulted in poorer model performance. Patients with higher serum prealbumin levels or shorter PTs had a significantly better prognosis. The predicted one-year survival rate was stratified and illustrated as a contour plot based on the combined effect the prealbumin level and the PT. Conclusions: Machine learning is useful for identifying the important determinants of cancer survival using high-dimensional datasets. The prealbumin level and the PT on distant lymph node metastasis are the 2 most crucial factors in predicting the subsequent survival time of advanced GC.

Information Literacy Instructions in the Context of IB Extended Essay: Focusing on the application of I-LEARN Model (IB 확장 에세이 맥락에서의 정보활용교육 - I-LEARN 모형 적용을 중심으로 -)

  • Chung, Jin Soo
    • Journal of the Korean Society for Library and Information Science
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    • v.56 no.1
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    • pp.201-220
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    • 2022
  • This study suggests a theoretical model of information literacy instructions in the context of the Extended Essay included in IB(International Baccalaureate) Diploma Program Core. The study particularly analyzed I-LEARN model as a model to teach and learn with information for inquiry-based learning since the model was developed for the purpose of learning with information. Some school districts in Korea adapted IB programs to address the need for better education. Findings indicate the followings. First, students can achieve deep understanding by applying a model of information literacy instructions that provides scaffolding. Second, the expected roles of school librarians in information literacy instructions for Extended Essay are process specialists, teachers, and instructional partners. Third, I-LEARN model is appropriate as a framework to teach information literacy skills for inquiry needed for Extended Essay. Fourth, I-LEARN assessment rubric is useful in assessing the process and outcomes of students' information seeking and use. Implications include that school librarians should develop themselves as experts in information literacy instructions for inquiry-based learning such as Extended Essay, and that Korean schools recognize the crucial role of school librarians in teaching information literacy skills for inquiry-based learinng.

Detection and Grading of Compost Heap Using UAV and Deep Learning (UAV와 딥러닝을 활용한 야적퇴비 탐지 및 관리등급 산정)

  • Miso Park;Heung-Min Kim;Youngmin Kim;Suho Bak;Tak-Young Kim;Seon Woong Jang
    • Korean Journal of Remote Sensing
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    • v.40 no.1
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    • pp.33-43
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    • 2024
  • This research assessed the applicability of the You Only Look Once (YOLO)v8 and DeepLabv3+ models for the effective detection of compost heaps, identified as a significant source of non-point source pollution. Utilizing high-resolution imagery acquired through Unmanned Aerial Vehicles(UAVs), the study conducted a comprehensive comparison and analysis of the quantitative and qualitative performances. In the quantitative evaluation, the YOLOv8 model demonstrated superior performance across various metrics, particularly in its ability to accurately distinguish the presence or absence of covers on compost heaps. These outcomes imply that the YOLOv8 model is highly effective in the precise detection and classification of compost heaps, thereby providing a novel approach for assessing the management grades of compost heaps and contributing to non-point source pollution management. This study suggests that utilizing UAVs and deep learning technologies for detecting and managing compost heaps can address the constraints linked to traditional field survey methods, thereby facilitating the establishment of accurate and effective non-point source pollution management strategies, and contributing to the safeguarding of aquatic environments.

Study of the Application of VQA Deep Learning Technology to the Operation and Management of Urban Parks - Analysis of SNS Images - (도시공원 운영 및 관리를 위한 VQA 딥러닝 기술 활용 연구 - SNS 이미지 분석을 중심으로 -)

  • Lee, Da-Yeon;Park, Seo-Eun;Lee, Jae Ho
    • Journal of the Korean Institute of Landscape Architecture
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    • v.51 no.5
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    • pp.44-56
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    • 2023
  • This research explores the enhancement of park operation and management by analyzing the changing demands of park users. While traditional methods depended on surveys, there has been a recent shift towards utilizing social media data to understand park usage trends. Notably, most research has focused on text data from social media, overlooking the valuable insights from image data. Addressing this gap, our study introduces a novel method of assessing park usage using social media image data and then applies it to actual city park evaluations. A unique image analysis tool, built on Visual Question Answering (VQA) deep learning technology, was developed. This tool revealed specific city park details such as user demographics, behaviors, and locations. Our findings highlight three main points: (1) The VQA-based image analysis tool's validity was proven by matching its results with traditional text analysis outcomes. (2) VQA deep learning technology offers insights like gender, age, and usage time, which aren't accessible from text analysis alone. (3) Using VQA, we derived operational and management strategies for city parks. In conclusion, our VQA-based method offers significant methodological advancements for future park usage studies.

A Study on the Development of Mathematical-Informatics Linkage·Convergence Class Materials according to the Theme-Based Design Model (주제기반 설계 모형에 따른 수학-정보 연계·융합 수업 자료 개발 연구)

  • Lee, Dong Gun;Kim, Han Su
    • Communications of Mathematical Education
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    • v.37 no.3
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    • pp.517-544
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    • 2023
  • This study presents the process and outcomes of developing mathematical-informatics linkage·convergence class materials, based on previous research findings that indicate a lack of such materials in high schools despite the increasing need for development of interdisciplinary linkage·convergence class materials In particular, this research provides insights into the discussions of six teachers who participated in the same professional learning community program, aiming to create materials that are suitable for linkage·convergence class materials and highly practical for classroom implementation. Following the material development process, a theme-based design model was applied to create the materials. In alignment with prior research and consensus among teacher learning community members, mathematics and informatics teachers developed instructional materials that can be utilized together during a 100-minute block lesson. The developed materials utilize societal issue contexts to establish links between the two subjects, enabling students to engage in problem-solving through mathematical modeling and coding. To increase the validity and practicality of the developed resources during their field application, CVR verification was conducted involving field teachers. Incorporating the results of the CVR verification, the finalized instructional materials were presented in the form of a teaching guide. Furthermore, we aimed to provide insights into the trial-and-error experiences and deliberations of the developers throughout the material development process, with the intention of offering valuable information that can serve as a foundation for conducting related research by field researchers. These research findings hold value as empirical evidence that can explore the applicability of teaching material development models in fields. The accumulation of such materials is expected to facilitate a cyclical relationship between theoretical teaching models and practical classroom applications.

Research on the Transition Process of University Lifelong Education System Support Project (대학 평생교육체제 지원사업 사업의 변천과정 연구)

  • Bog Im Jeong;Tae Hui Kim
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.2
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    • pp.273-278
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    • 2024
  • The purpose of this study is to examine the limitations of university operating system changes as a result of the policy changes and outcomes of the university lifelong education system support project by project period, and based on this, to propose a development plan to support the university's adult learning system. In this study, we sought to investigate changes in the higher education environment and changes in lifelong education in universities through analysis of literature and various data. The changing times of technological innovation and changes in knowledge require continuous learning even after school education, and the need for re-education and improved education is increasing. Therefore, the Ministry of Education and the National Institute for Lifelong Education have been actively carrying out support projects for lifelong learning-centered universities since 2008 to provide adult learners with opportunities to study. This project is centered around universities and the local community, and is promoting various types of changes in educational operation, such as reforming the university's academic system to be adult-friendly and operating night or weekend classes in order to provide educational opportunities for adult learners. Now, universities must play a role as a hub of regional lifelong education for the coexistence of the region and university, and as a key institution responsible for the contemporary tasks of sustainable development and coexistence between the university and the community.

Liver-to-Spleen Volume Ratio Automatically Measured on CT Predicts Decompensation in Patients with B Viral Compensated Cirrhosis

  • Ji Hye Kwon;Seung Soo Lee;Jee Seok Yoon;Heung-Il Suk;Yu Sub Sung;Ho Sung Kim;Chul-min Lee;Kang Mo Kim;So Jung Lee;So Yeon Kim
    • Korean Journal of Radiology
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    • v.22 no.12
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    • pp.1985-1995
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    • 2021
  • Objective: Although the liver-to-spleen volume ratio (LSVR) based on CT reflects portal hypertension, its prognostic role in cirrhotic patients has not been proven. We evaluated the utility of LSVR, automatically measured from CT images using a deep learning algorithm, as a predictor of hepatic decompensation and transplantation-free survival in patients with hepatitis B viral (HBV)-compensated cirrhosis. Materials and Methods: A deep learning algorithm was used to measure the LSVR in a cohort of 1027 consecutive patients (mean age, 50.5 years; 675 male and 352 female) with HBV-compensated cirrhosis who underwent liver CT (2007-2010). Associations of LSVR with hepatic decompensation and transplantation-free survival were evaluated using multivariable Cox proportional hazards and competing risk analyses, accounting for either the Child-Pugh score (CPS) or Model for End Stage Liver Disease (MELD) score and other variables. The risk of the liver-related events was estimated using Kaplan-Meier analysis and the Aalen-Johansen estimator. Results: After adjustment for either CPS or MELD and other variables, LSVR was identified as a significant independent predictor of hepatic decompensation (hazard ratio for LSVR increase by 1, 0.71 and 0.68 for CPS and MELD models, respectively; p < 0.001) and transplantation-free survival (hazard ratio for LSVR increase by 1, 0.8 and 0.77, respectively; p < 0.001). Patients with an LSVR of < 2.9 (n = 381) had significantly higher 3-year risks of hepatic decompensation (16.7% vs. 2.5%, p < 0.001) and liver-related death or transplantation (10.0% vs. 1.1%, p < 0.001) than those with an LSVR ≥ 2.9 (n = 646). When patients were stratified according to CPS (Child-Pugh A vs. B-C) and MELD (< 10 vs. ≥ 10), an LSVR of < 2.9 was still associated with a higher risk of liver-related events than an LSVR of ≥ 2.9 for all Child-Pugh (p ≤ 0.045) and MELD (p ≤ 0.009) stratifications. Conclusion: The LSVR measured on CT can predict hepatic decompensation and transplantation-free survival in patients with HBV-compensated cirrhosis.

Funds of Knowledge and Features of Teaching and Learning in the Hybrid Space of Middle School Science Class: Focus on 7th grade Biology (과학 수업의 혼성공간에서 드러나는 중학생의 지식자본 및 교수학습 특성: 7학년 생명 영역을 중심으로)

  • Lee, Minjoo;Kim, Heui-Baik
    • Journal of The Korean Association For Science Education
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    • v.34 no.8
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    • pp.731-744
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    • 2014
  • Extracting students' own culture and resources as main sources in science class, we begin a research to explore teaching and learning settings that are more responsive to adolescents. This study has been designed to explore the funds of knowledge that students bring into middle school science class. It also focused on the features of teaching and learning settings that stimulated the autonomous inflow of students' funds of knowledge as resources of science learning. Data from participant observations and in-depth interviews with 7th grade students were qualitatively analyzed based on grounded theory. We found that students' funds of knowledge were formed from their family life, neighbor communities, peer group, and pop culture. The funds of knowledge based on peer culture emerged as the most salient factor of students' enhanced participation and utterance. Common features of classes that stimulated the inflow of funds of knowledge were analyzed to be: (1) hybrid spaces for learning designed in advance: (2) sharing and enlargement of the funds of knowledge that has been brought into the class: and (3) common orientation of the community of practice for knowledge co-construction and shared outcomes. From these findings, this paper discussed the educational implications for promoting students' potential resources to actual sources of science class. It also discussed students' development of participation specifically among the generally marginalized students. Science classes based on the funds of knowledge of students offer an increased possibility of knowledge co-construction through the hybridized interactions of student's everyday lives and science knowledge and lead to more meaningful learning experiences.

Action Research on Reading Picture Books for Lower-Grade Multicultural Students from Foreign Backgrounds: A Case of Collaborative Lessons with A Elementary School Library (저학년 외국인 가정 다문화 학생을 위한 그림책 읽어주기 수업에 관한 실행연구 - A초등학교 학교도서관 협력수업의 사례를 중심으로 -)

  • Hyounmee Wee;Miah Cho
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.34 no.3
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    • pp.59-87
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    • 2023
  • The aim of this study is to provide practical instances of implementing picture book reading sessions within school libraries to enhance language proficiency and foster emotional stability among lower-grade multicultural students hailing from foreign backgrounds. The research outlines the design and execution of a picture book reading program tailored for multicultural students, with analysis based on the outcomes of actual classroom implementations. In the course of the study, existing literature pertaining to the use of picture books for enhancing multicultural education and language skills was reviewed. This informed the development of a structured class procedure by extracting core components. Indeed, 43 multicultural students in five classes in the first and second grades of A Elementary School in Gyeonggi-do were given three pilot classes for each class for 20 weeks and a total of 100 picture book reading classes, each with 17 main lessons. This study establishes the positive impact of picture book reading classes on the Korean language comprehension of multicultural students. The results confirm positive improvements in students' ability to understand Korean, as evidenced by enhanced Korean expression and presentation skills, increased library usage, and a positive shift in classroom attitude. The procedure for reading picture books using school libraries proposed in this study was actually conceived and developed in the course of class operation in the school education field, reflecting the changes brought about by the increase of multicultural students and the need to improve the class environment. Through this practical investigation, important insights have been extracted regarding how picture book reading sessions designed for elementary school students from multicultural backgrounds can enhance the classroom environment and elevate learning outcomes.