• 한국융합학회논문지
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• 제13권3호
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• pp.55-65
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• 2022

인터넷 기술과 모바일 등의 기기 발전으로 교육환경도 전통적이고 수동적인 방식에서 학습자 중심의 능동적인 방식으로 변화하고 있다. 이에 따라 학습자 개개인의 수준별 맞춤 교육의 역할도 커지고 있으며, 이에는 개별 학습자의 프로파일 구축이 중요하다. 기존의 ICT 기반 맞춤형 영어 교육의 다수는 어휘에 초점을 맞추고 있으며, 학습 콘텐츠에 대한 분석에 많은 노력을 기울이고 있다. 본 논문에서는 보다 정밀하게 사용자의 학습상태를 정의하기 위하여 단어와 문법을 대상으로 학습 상태를 구축하였다. 그리고 학습자가 특정 콘텐츠에 얼마나 익숙한지를 알려주는 콘텐츠에 대한 숙련도 메트릭을 정의하였다. 이후 실제 영문 에세이 데이터를 기반으로 사전학습을 통하여 사용자들의 숙련도를 결정하고, 시뮬레이션을 통하여 평가 에세이 데이터에 대하여 적용성이 있음을 보였다. 또한 본 연구에서 제안한 분석기법은 학습상황에 대하여 통계치나 그래프를 제공하고 학습자 수준에 적합한 학습자료를 생성하는데 필요한 데이터를 제공할 수 있다.

• 한국임상약학회지
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• 제32권2호
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• pp.106-115
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• 2022

Background: The World Health Organization (WHO) has focused on the need for interprofessional education (IPE) to improve interprofessional collaboration competency and patient health outcomes. Accordingly, most European and North American medical colleges have established IPE for students. However, IPE learning activity in medical wards for the clinical experience of pharmacy students has not been fully reviewed in Korea. Therefore, this study aims to examine the current status of IPE learning activities in wards at tertiary and secondary hospitals in order to identify ways to improve the program. Methods: The official document of cooperation consists of six self-administered questions regarding IPE learning activities in wards. The preceptor's response in each hospital was evaluated. Results: Of the 22 hospitals, 9 tertiary hospitals and 12 secondary general hospitals responded. For the introductory pharmacy practice experience (IPPE), participating in intensive care (IC) was provided at one secondary general hospital (8.3%) and no tertiary hospital. Ward rounds with medical staff members were provided at two tertiary hospitals (22.2%) and one (8.3%) secondary general hospital. A major barrier to executing IPE was lack of rewards and incentives for the faculty and preceptors who participated in the program. Conclusion: In both tertiary hospitals and secondary general hospitals, pharmacy students have limited exposure to IPE learning activities in wards at hospital, and IPPE at most hospitals was carried out in pharmacy settings only. This study suggests that it is necessary for the hospitals to improve and support IPE learning activities in wards in order to improve learners' competency.

• 한국콘텐츠학회논문지
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• 제5권2호
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• pp.19-28
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• 2005

웹 기반 교수-학습 시스템은 학습자 중심의 학습 환경으로 지속적인 변화를 지향해왔으며, 특히 자기 주도적이고 적극적인 학습 형태인 자기조절 학습은 이상적인 학습 형태로서 이에 대한 관심이 증가하고 있다. 본 연구에서는 학습자가 시스템과의 계약과정을 거쳐 자신의 요구와 학습 수준에 따른 개인화된 코스웨어를 구성할 수 있다. 시스템에서 분석된 결과를 통해 자신의 학습 진행과 결과를 인지하고, 학습전략을 수립하여 효과적으로 학습목표에 도달할 수 있는 자기조절 학습 시스템을 설계 구현하였다. 제안된 시스템은 학습자에게 개인의 특성을 고려한 차별화되고 유연성 있는 개인화된 학습 서비스를 자기 주도적으로 진행할 수 있는 학습자 위주의 학습 환경을 제공한다.

• 4차산업연구
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• 제3권2호
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• pp.11-17
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• 2023

Purpose - Recently, in the field of language education, interest in edutech has increased due to difficulties in classroom teaching due to COVID-19. Accordingly, we would like to analyze research topics related to e-learning before and after COVID-19 and examine the implications for the future Korean language education field. Research design, data, and methodology - This study organized a list of papers to be analyzed by searching for e-learning terms applicable to Korean language education in RISS. The collected data was electronically documented, keywords were extracted using text mining techniques, and word frequencies were checked, and then viewed through cloud visualization. Result - It was confirmed that research on e-learning in the field of Korean language education has increased rapidly in 2021 and 2022. In particular, extensive research on online learning methods has been actively conducted due to the difficulties of face-to-face learning in the COVID-19 era. There have been many studies on teaching and learning methods, such as flipped learning, hybrid learning, blended learning, mobile learning, and smart learning. Conclusion - Since the research so far has mainly focused on online class management methods. Therefore, future research suggests that efforts should be made to develop educational contents and teaching methods using specific ICT technologies. These efforts will contribute to advancing smart education that future education aims for.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 춘계학술발표대회
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• pp.533-534
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• 2019

This paper is to summarize the academic status of deep learning in Chinese scientific institutions and universities based on the literatures from CNKI. We analyzed the various development of deep learning in China based on the application of computer vision, voice recognition and natural language processing.

• Genomics & Informatics
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• 제16권4호
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• pp.31.1-31.7
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• 2018

The prevalence of metabolic syndrome (MS) in the nonobese population is not low. However, the identification and risk mitigation of MS are not easy in this population. We aimed to develop an MS prediction model using genetic and clinical factors of nonobese Koreans through machine learning methods. A prediction model for MS was designed for a nonobese population using clinical and genetic polymorphism information with five machine learning algorithms, including naïve Bayes classification (NB). The analysis was performed in two stages (training and test sets). Model A was designed with only clinical information (age, sex, body mass index, smoking status, alcohol consumption status, and exercise status), and for model B, genetic information (for 10 polymorphisms) was added to model A. Of the 7,502 nonobese participants, 647 (8.6%) had MS. In the test set analysis, for the maximum sensitivity criterion, NB showed the highest sensitivity: 0.38 for model A and 0.42 for model B. The specificity of NB was 0.79 for model A and 0.80 for model B. In a comparison of the performances of models A and B by NB, model B (area under the receiver operating characteristic curve [AUC] = 0.69, clinical and genetic information input) showed better performance than model A (AUC = 0.65, clinical information only input). We designed a prediction model for MS in a nonobese population using clinical and genetic information. With this model, we might convince nonobese MS individuals to undergo health checks and adopt behaviors associated with a preventive lifestyle.

• 대한통합의학회지
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• 제12권3호
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• pp.11-24
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• 2024

Purpose : This study aims to identify the factors influencing health-related quality of life through machine learning of the general characteristics of patients with hypertension and to provide a basis for related research on patients, such as intervention strategies and management guidelines in the field of physical therapy for health promotion. Methods : Annual data from the second Korean Health Panel (Version 2.0) from 2019 to 2020, conducted jointly by the Korea Health and Social Research Institute and the National Health Insurance Service, were analyzed (Korea Health Panel, 2024). The data used in this study was collected from January to July 2020, and the data was collected using computer-assisted face-to-face interviews. Of the 13,530 household members surveyed, 1,368 were selected as the final study participants after removing missing values from 3,448 individuals diagnosed with hypertension by a doctor. Results : The results showed that walking (P2) was the most significant factor affecting health-related quality of life in random forest, followed by perceived stress (HS1), body mass index (BMIc), total household income (TOTc), subjective health status (SRHc), marital status (Marr), and education level (Edu). Conclusion :To prevent and manage chronic diseases such as hypertension, as well as to provide customized interventions for patients in advanced stages of the disease, research should be conducted in the field of physical therapy to identify influencing factors using machine learning. Based on the findings of this study, we believe that there is a need for additional content that can be utilized in the field of physical therapy to improve the health-related quality of life of patients with hypertension, such as diagnostic assessment and intervention management guidelines for hypertension, and education on perceived stress and subjective health status.

• 디지털융복합연구
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• 제13권1호
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• pp.487-493
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• 2015

본 연구는 선진국의 사례를 기반으로 이러닝과 빅데이터의 융합적 접근을 통한 이러닝의 고도화 대안으로서 스마트러닝의 전략적 시사점을 도출한다. 이를 위해 본 연구는 먼저 국내 이러닝 현황 및 해결 과제를 도출한 다음 해외 주요 선진기업과 대학들의 이러닝과 데이터과학의 융합 사례를 분석한다. 아울러 이러닝 기업의 임직원을 대상으로 빅데이터 적용에 관한 인식 조사를 실시한 다음 조사된 자료의 분석을 통해 산업 현장에서 실효성을 갖는 빅데이터 융합 기반 스마트러닝의 전략적 대안을 도출한다.

• 한국의사학회지
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• 제28권2호
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• pp.15-22
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• 2015

Objectives : The each college of Korean medicine in Korea adopts diverse textbooks for the medical history class, resulting in educational contents variations. This proposal aimed for the standardization of educational contents. Methods : The transition of medical history curriculum will be attempted based on the understanding of paradigm change in modern education. The first step is investigation on the course credit and curriculum grade of medical history class presented in education status reports of all Korean medicine schools. The next step is study on the various methods about changes of medical history education base on the learning objectives of colleges of Korean medicine. Results : The researchers of medical history should make an agreement on modification of learning objectives of the curriculum, and then educational standardization must be achieved by publishing a medical history textbook in accordance with the modified learning objectives. Conclusions : The researchers of medical history must collaborate to standardize medical history education by developing and applying internet-based flipped learning model.

• International Journal of Advanced Culture Technology
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• 제10권4호
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• pp.86-93
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• 2022

To combine the science and technology creativity necessary in the era of the 4th Industrial Revolution, it is necessary to cultivate talents who can discover new knowledge and create new values by combining various knowledge with self-directed mathematical competencies. This research attempted to lay the foundation for the curriculum for fostering future creative convergence talent by preparing, executing, and reflecting on the learning plan after learners themselves understand their level and status through self-directed learning. Firstly, We would like to present a teaching-learning plan based on the essential capabilities of the future society, where the development of a curriculum based on mathematics curriculum and intelligent informatization are accelerated. Secondly, an educational design model system diagram was presented to strengthen the self-directed learning ability of mathematics subjects in the electronic engineering curriculum. Consequently, through a survey, we would like to propose the establishment of an educational system necessary for the 4th industry by analyzing learning ability through self-directed learning teaching methods of subjects related to mathematics, probability, and statistics.