• 제목/요약/키워드: learning outcomes assessment

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학습성과중심교육과정에서의 교육과정 설계 탐색 (An Investigation on Curriculum Design in Outcome Based Curriculum)

  • 채수진
    • 의학교육논단
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    • 제11권1호
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    • pp.3-9
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    • 2009
  • Outcome based education, a competence based approach at the cutting edge of curriculum development, offers a powerful and appealing way of reforming and managing medical education. The emphasis is on the product that is to say what sort of doctor will be producted rather than on the educational process. In outcome based education, the outcomes are clearly and unambiguously specified such as Tyler's curriculum design. The design of outcome based curriculum plans in the opposite direction, starting with the good doctor and working backwards. Outcome based curriculum offers many advantages as a way of achieving this. It emphasises relevance in the curriculum and accountability and can provide a clear and unambiguous framework for curriculum planning which has an intuitive appeal. It encourages the faculty and student to share responsibility for learning and it can guide the assessment.

Evaluation of Blackboard Use by Faculty Members at Umm Al-Qura University During the COVID-19 Pandemic

  • Deena Alghamdi
    • International Journal of Computer Science & Network Security
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    • 제23권4호
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    • pp.32-38
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    • 2023
  • Blackboard provides a collaborative environment for teaching in terms of assessment and communication and can improve learning outcomes. To evaluate the Blackboard use of faculty members at Umm Al-Qura University, data were collected from two channels: statistical reports issued by the university and an online questionnaire. The questionnaire survey respondents were 187 faculty members from all colleges in the university. The findings show that most faculty members did not use Blackboard before the pandemic; therefore, the sudden conversion to the use of Blackboard required intensive training courses. In addition, accompanying Blackboard use with other applications such as WebEx is preferable, especially for administrative tasks such as departmental board meetings and seminars.

Trainees Can Safely Learn Video-Assisted Thoracic Surgery Lobectomy despite Limited Experience in Open Lobectomy

  • Yu, Woo Sik;Lee, Chang Young;Lee, Seokkee;Kim, Do Jung;Chung, Kyung Young
    • Journal of Chest Surgery
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    • 제48권2호
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    • pp.105-111
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    • 2015
  • Background: The aim of this study was to establish whether pulmonary lobectomy using video-assisted thoracic surgery (VATS) can be safely performed by trainees with limited experience with open lobectomy. Methods: Data were retrospectively collected from 251 patients who underwent VATS lobectomy at a single institution between October 2007 and April 2011. The surgical outcomes of the procedures that were performed by three trainee surgeons were compared to the outcomes of procedures performed by a surgeon who had performed more than 150 VATS lobectomies. The cumulative failure graph of each trainee was used for quality assessment and learning curve analysis. Results: The surgery time, estimated blood loss, final pathologic stage, thoracotomy conversion rate, chest tube duration, duration of hospital stay, complication rate, and mortality rate were comparable between the expert surgeon and each trainee. Cumulative failure graphs showed that the performance of each trainee was acceptable and that all trainees reached proficiency in performing VATS lobectomy after 40 cases. Conclusion: This study shows that trainees with limited experience with open lobectomy can safely learn to perform VATS lobectomy for the treatment of lung cancer under expert supervision without compromising outcomes.

GeoAI-Based Forest Fire Susceptibility Assessment with Integration of Forest and Soil Digital Map Data

  • Kounghoon Nam;Jong-Tae Kim;Chang-Ju Lee;Gyo-Cheol Jeong
    • 지질공학
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    • 제34권1호
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    • pp.107-115
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    • 2024
  • This study assesses forest fire susceptibility in Gangwon-do, South Korea, which hosts the largest forested area in the nation and constitutes ~21% of the country's forested land. With 81% of its terrain forested, Gangwon-do is particularly susceptible to wildfires, as evidenced by the fact that seven out of the ten most extensive wildfires in Korea have occurred in this region, with significant ecological and economic implications. Here, we analyze 480 historical wildfire occurrences in Gangwon-do between 2003 and 2019 using 17 predictor variables of wildfire occurrence. We utilized three machine learning algorithms—random forest, logistic regression, and support vector machine—to construct wildfire susceptibility prediction models and identify the best-performing model for Gangwon-do. Forest and soil map data were integrated as important indicators of wildfire susceptibility and enhanced the precision of the three models in identifying areas at high risk of wildfires. Of the three models examined, the random forest model showed the best predictive performance, with an area-under-the-curve value of 0.936. The findings of this study, especially the maps generated by the models, are expected to offer important guidance to local governments in formulating effective management and conservation strategies. These strategies aim to ensure the sustainable preservation of forest resources and to enhance the well-being of communities situated in areas adjacent to forests. Furthermore, the outcomes of this study are anticipated to contribute to the safeguarding of forest resources and biodiversity and to the development of comprehensive plans for forest resource protection, biodiversity conservation, and environmental management.

공학기본소양과목의 학습성과에 관한 연구 (The Learning Outcome of the General Education in Engineering Education)

  • 강소연;최금진
    • 공학교육연구
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    • 제9권1호
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    • pp.75-88
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    • 2006
  • 본 연구는 현재 공학교육인증을 받거나 준비 중인 대학에서 편성 운영 중인 공학기본소양과목의 현황과 문제점을 살펴보고, 기본소양과목을 이수한 학생들의 학습성과 평가, 강의평가 결과를 분석하여 기본 소양 과목 운영의 문제점과 해결방법을 제시하는 데 그 목적이 있다. 본 연구 결과 다음과 같은 결론을 도출하였다. 첫째, 현재 기본소양과목은 대체로 공학교육인증기준 교육요소에서 요구하는 학점 수에 맞추어 편성 운영되고 있으나 대부분 기존의 교양과목을 공학기본 소양과목으로 활용하고 있다. 향후 21세기 지식기반사회를 이끌어 갈 유능한 엔지니어를 육성하기 위해서는 일반적인 교양과목이 아니라 공학인에게 필요한 교양과목을 이수할 수 있어야 한다. 따라서 요구조사를 통해 새롭게 기본소양과목을 계발하고 교육 내용을 재구성하여야 하며 다양한 수업방법과 평가방법을 개발하여 전공과목에서 얻기 어려운 교육적 효과를 얻을 수 있는 경험이 되어야 한다. 둘째, 사회나 기업에서는 기본소양이나 교양의 중요성을 인식하고 필요성을 강조하고 있는데 반해 아직 공대학생들이나 졸업생들의 경우 이에 대한 인식이 부족하다. 미래의 테크노 리더로서 가져야 할 역량과 기본 소양의 중요성을 학생들이 인식할 수 있도록 지도해야 한다. 마지막으로 공학기본과목을 담당하는 교수자들의 역할의 중요성이다. 강사보다는 전임교수들이 강의를 담당하도록 하며 교수들은 교과내용의 충실도를 높이고 학습자 중심의 수업 방법들을 다양하게 활용하여 의사표현 능력이나 자기주도적 학습능력들을 효과적으로 키워갈 수 있는 기회를 제공하는 것이 필요하다.

표준화 환자를 활용한 정신간호 시뮬레이션 실습 교육 효과 -학습동기, 학습자기효능감, 학습만족도, 전이동기- (The Effects of Mental Health Nursing Simulation Practice Using Standardized Patients on Learning Outcomes -Learning Motivation, Learning Self-Efficacy, Learning Satisfaction, Transfer Motivation-)

  • 김남석;송지현
    • 문화기술의 융합
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    • 제9권4호
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    • pp.259-268
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    • 2023
  • 본 연구의 목적은 간호대학생을 대상으로 표준화 환자를 활용한 정신시뮬레이션 실습교육 효과를 검증하기 위해 시도 되었다. 본 연구는 단일군 사전·사후설계 연구이며 자료수집은 J소재 일개 대학 간호학과 학생 95명에게 구조화된 설문지를 제공하였다. 수집된 자료는 SPSS/WIN 27.0 program을 활용하여 분석하였다. 연구 결과 표준화 환자를 활용한 정신 시뮬레이션 실습 교육 프로그램은 대상자의 학습동기(t =-2.011, p =.046), 학습자기효능감(t =-2.225, p =.027)과 학습만족도(t =-3.428, p =.001), 전이동기(t =-2.628, p =.009)을 향상시키는데 효과가 있는 것으로 나타났다. 또한 자가 평가 내용을 텍스트 마이닝으로 분석한 결과 표준화 환자를 활용한 정신 시뮬레이션 실습 교육과 관련된 단어는 상황, 경험, 연기, 의사소통, 시나리오, 정신간호 임상실습 등이 있으며, 만족도와 관련된 단어는 실제, 도움, 반응, 이해, 다양 등이 있었다. 본 연구 결과 실제 상황과 유사한 환경을 구현하였고 다양한 사례를 적용한 정신시뮬레이션 실습 교육프로그램은 간호대학생의 실습 교육의 효과가 있는 것으로 나타나 향후 현장 적응 능력을 향상할 수 있도록 적극 활용 할 필요가 있다고 본다.

과제지향적순환훈련이 만성 뇌졸중 환자의 운동기능, 일상생활동작 및 삶의 질에 미치는 영향 : 사례연구 (Effects of Group Task-Oriented Circuit Training on Motor Function, ADLs and Quality of Life in Individuals with Chronic Stroke: A Case Study)

  • 고명숙;전혜선;황수진
    • 한국산학기술학회논문지
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    • 제16권3호
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    • pp.1894-1903
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    • 2015
  • 본 연구의 목적은 만성뇌졸중 환자에게 운동학습이론을 기초한 물리치료와 작업치료를 병행한 집단 과제지향적 순환훈련 프로그램을 실시하여 운동기능, 일상생활동작과 삶의 질적인 변화를 알아보고자 하였다. 6명의 만성 뇌졸중 환자에게 31주간 실시하였다. Chedoke-McMaster 뇌졸중평가, 균형검사, 일상생활활동 운동 처리기술 평가(Assessment of Motor and Process Skills: AMPS)와 뇌졸중 영향척도 측정을 치료 전과 후에 수집하였다. 연구결과, 운동기능 손상영역, 균형과 뇌졸중 영향척도의 기분과 정서영역에서 통계적으로 유의하게 향상되었다. 일상생활활동 운동 처리기술 평가는 운동(motor)영역에서 6명 중 3명에게 처리(process)영역은 4명에서 훈련 후 향상되었다. 본 연구결과를 바탕으로 집단 과제지향적 순환훈련은 지역사회 만성 뇌졸중 환자의 신체적 기능 향상에 이점이 있다고 제언하는 바이다.

자율실습교육에서 스마트폰 동영상을 활용한 자가평가 학습법이 간호술기 수행능력, 자율실습만족도, 학습동기에 미치는 효과: 유치도뇨를 중심으로 (Effects of Self-evaluation using Smartphone Recording on Nursing Students' Competency in Nursing Skills, Satisfaction, and Learning Motivations: Focusing on Foley Catheterization)

  • 장은화;박수현
    • 기본간호학회지
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    • 제24권2호
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    • pp.118-127
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    • 2017
  • Purpose: The purpose of this study was to identify effects of self-evaluation using smartphone recording on competency in nursing skills, satisfaction and learning motivations in nursing students'. The setting was the open laboratory hours. Methods: A quasi-experimental pre/post-test design was conducted in September 2015. The participants were 82 sophomore nursing students from one University. The experimental group did self-evaluation by watching recorded video clips of their performance. The control group did not have any self-evaluation. The primary outcomes were scores from the foley catheterization checklist, scores from a student satisfaction tool, and scores from a learning motivation tool. Data were analyzed using ${\chi}^2$ test, Fisher's exact test, independent t-test, and paired t-test. Results: There was a significant higher mean score in levels of satisfaction by students in the experimental group compared to the control group (t=2.26, p=.027). In addition, improvement in communication skills by the experimental group was significantly higher than improvement in the control group (t=3.96, p<.001). Conclusion: Findings show that self-evaluation using smartphone recordings has positive effects on increasing both communication skills and satisfaction with practice during open laboratory hours. These results indicate that, self-evaluation using smartphone recording is useful as a supplement to traditional open laboratory education.

The development of a community-based medical education program in Korea

  • Yoo, Jung Eun;Hwang, Seo Eun;Lee, Gyeongsil;Kim, Seung Jae;Park, Sang Min;Lee, Jong-Koo;Lee, Seung-Hee;Yoon, Hyun Bae;Lee, Ji Eun
    • Korean journal of medical education
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    • 제30권4호
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    • pp.309-315
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    • 2018
  • Purpose: The introduction of community-based medical education would help improve the quality of primary care. This paper suggests learning objectives and an educational program for community-based medical education. Methods: The educational program was developed in a 1-day consensus workshop. Twenty experts, including faculty members from family medicine department of a college of medicine in Seoul and community-based preceptors, participated in the program. A needs-assessment survey was conducted among community-based preceptors before the workshop. Through this workshop, we derived learning objectives and a standardized curriculum for community-based medical education. Results: In the questionnaire before the workshop, community-based preceptors voiced concerns over the program's potential costs and the time required for teaching. The learning objectives and educational programs derived from the workshop's consensus were consistent with the characteristics of the primary care. Based on the results of this workshop, the joint expert team developed a standard educational program on two core topics: clinical teaching and mentoring. Conclusion: From this curriculum development process, participants could construct a more standardized curriculum for community-based medical education. Future studies are needed to evaluate the long-term outcomes of these educational programs, such as the learners' satisfaction and achievement.

Speech Emotion Recognition in People at High Risk of Dementia

  • Dongseon Kim;Bongwon Yi;Yugwon Won
    • 대한치매학회지
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    • 제23권3호
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    • pp.146-160
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    • 2024
  • Background and Purpose: The emotions of people at various stages of dementia need to be effectively utilized for prevention, early intervention, and care planning. With technology available for understanding and addressing the emotional needs of people, this study aims to develop speech emotion recognition (SER) technology to classify emotions for people at high risk of dementia. Methods: Speech samples from people at high risk of dementia were categorized into distinct emotions via human auditory assessment, the outcomes of which were annotated for guided deep-learning method. The architecture incorporated convolutional neural network, long short-term memory, attention layers, and Wav2Vec2, a novel feature extractor to develop automated speech-emotion recognition. Results: Twenty-seven kinds of Emotions were found in the speech of the participants. These emotions were grouped into 6 detailed emotions: happiness, interest, sadness, frustration, anger, and neutrality, and further into 3 basic emotions: positive, negative, and neutral. To improve algorithmic performance, multiple learning approaches were applied using different data sources-voice and text-and varying the number of emotions. Ultimately, a 2-stage algorithm-initial text-based classification followed by voice-based analysis-achieved the highest accuracy, reaching 70%. Conclusions: The diverse emotions identified in this study were attributed to the characteristics of the participants and the method of data collection. The speech of people at high risk of dementia to companion robots also explains the relatively low performance of the SER algorithm. Accordingly, this study suggests the systematic and comprehensive construction of a dataset from people with dementia.