• 제목/요약/키워드: learning outcomes

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졸업성과 달성을 위한 교과목 학습성과 개발 : Hauenstein의 교육목표분류체계 적용 (Developing Course Outcome to Achieve Exit Outcome: Applying Hauenstein's theory)

  • 황윤영;김선희;주민선
    • 한국간호교육학회지
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    • 제21권2호
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    • pp.155-167
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    • 2015
  • Purpose: The aim of this study was to develop course outcomes for nursing students by applying Hauenstein's theory. Methods: The research was conducted in three steps as follows: identifying exit outcomes related to the Adult Nursing course, developing Adult Nursing course outcomes based on the theory of Hauenstein, and finalizing Adult Nursing course outcomes. Results: Exit outcomes achievable in Adult Nursing were generated after a needs analysis survey among students, nurses and professors was conducted and subsequently reviewed by professors specializing in the subject. For theoretical courses, the level of the course outcomes was derived from the cognitive domain, whereas, for practical courses, it was derived, in stages, from the cognitive, affective and psychomotor domains. Next, using taxonomical terms that can properly address the level of each domain, course outcomes for theoretical and practical courses were determined. After expert opinion was sought, the final course outcome for the Adult Nursing course was produced. Conclusion: The results are meaningful in that valid course outcomes were developed through the process described above and are expected to greatly contribute to reaching exit outcomes and strengthen the professional capacity of nursing students.

블렌디드 러닝기반 기초수학 수업에서 자기효능감, 자기조절학습이 학습지속의향에 미치는 영향 (The Effect of Self Efficacy and Self-Regulated Learning on Learning Persistence in Blended Learning Based Basic Mathematics Class)

  • 홍효정
    • 공학교육연구
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    • 제20권6호
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    • pp.3-11
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    • 2017
  • The purpose of this study is to investigate the variables that learners should consider for learning persistence when applying blended learning to mathematics class which is a basic curriculum of engineering college. For this purpose, this study compared the basic mathematics class with the blended learning and the class without it. In addition, this study analyzed the influence of the learning outcomes of the blended learning on the willingness to learning persistence by using the self-efficacy and self-regulated learning variables that can predict it. As a result, it was found that the blended learning applied mathematics class of K university which is the subject of analysis in this study has higher self - efficacy, self - regulated learning, and learning persistence intention than general classroom. Finally, the results of this study are meaningful to provide the points to be considered for improving the learning performance when applying the blended learning to the subject class in the future.

주요 고등교육 학습성과 분석 도구 분석을 통한 발전 방향 모색: K대학 사례 연구 (Exploring the Development Directions of Learning Outcome in Higher Education through the Analysis of Popular Tools: A Case of University K)

  • 김태형;장은정
    • 실천공학교육논문지
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    • 제16권2호
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    • pp.129-141
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    • 2024
  • 최근 고등교육 정책이 학생중심으로 전환되면서 학생들의 학습성과 향상을 위한 대학의 관심이 증가하고 있다. 이에 본 연구는 K대학의 학습성과 지표를 국내외 주요 학습성과 지표와 비교·분석하여, 우리나라 대학들의 학습성과 관리를 위한 발전방향을 제공하는 것을 목적으로 하고 있다. 비교·분석을 위해 AHELO, NSSE, CLA+ 등 주요 학습성과 측정 도구의 세부 측정문항을 조사하였다. K대 주요 학습성과 지표와 타 학습성과 지표를 비교/분석한 결과, 대다수의 지표는 중복되고 있으나, 학습을 위한 학생 지원/시설, 교수자의 질, 커뮤니케이션 등 일부 지표는 K대에 부재한 것으로 나타났다. 이러한 지표를 기존 학습성과 지표에 추가할 것인지 아니면 다른 조사를 통해 이를 확인할 것인지 결정할 필요가 있으며, 같은 지표라도 측정 방식이 다른 지표들 중 일부는 측정 방식 변경을 고려할 필요가 있다.

Artificial Neural Network: Understanding the Basic Concepts without Mathematics

  • Han, Su-Hyun;Kim, Ko Woon;Kim, SangYun;Youn, Young Chul
    • 대한치매학회지
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    • 제17권3호
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    • pp.83-89
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    • 2018
  • Machine learning is where a machine (i.e., computer) determines for itself how input data is processed and predicts outcomes when provided with new data. An artificial neural network is a machine learning algorithm based on the concept of a human neuron. The purpose of this review is to explain the fundamental concepts of artificial neural networks.

공학교육인증을 위한 디자인과 소프트웨어 융합전공의 학습성과 (Learning Outcomes of Design and Software Convergence Major for Engineering Education Accreditation)

  • 최지은;진성희
    • 디지털융복합연구
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    • 제17권5호
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    • pp.51-63
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    • 2019
  • 4차 산업혁명 이후 빠르게 변화하는 사회에서는 복잡한 문제를 해결할 수 있는 융합인재양성이 중요한 이슈로 대두되고 있다. 본 연구는 (사)한국공학교육인증원(이하, 공인원)에서 제시하고 있는 공학교육 인증기준인 융 복합분야의 프로그램 학습성과를 설정하기 위해 필요로 하는 핵심역량을 제안하는데 그 목적이 있다. 연구의 목적을 달성하기 위해 사례연구방법론을 적용하였다. 분석사례는 국내외 대학의 디자인과 소프트웨어 융합 전공이다. 선정된 전공의 교육목표 및 교과목의 강의계획서를 분석하였다. 연구결과 공인원에서 제시하고 있는 프로그램 학습성과 10개 외에 디자인 소프트웨어 융합전공에서 추가로 달성해야할 핵심역량 4가지가 도출되었다. 새로 추가된 핵심역량은 융합능력, 창의적 사고, 창업가능력, 디자인 능력이다. 이 연구의 결과는 향후 융합전공을 위한 공학교육인증 융 복합분야의 평가체계 개발에 기여할 수 있을 것으로 기대된다.

우리나라 의사 국가시험 필기시험(2016-2018)의 기초의학 역량 평가 현황의 분석 (Analysis of Basic Medicine-Related Questions in the Korean Medical Licensing Examination (2016-2018))

  • 국현;오세옥;이덕주;기선호;전용성
    • 의학교육논단
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    • 제25권1호
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    • pp.68-77
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    • 2023
  • Basic medical education is important for developing the competencies of medical doctors, and it includes basic biomedical sciences, preventive medicine, medical ethics, and clinical science. This study aimed to reveal the current status of the Korean Medical Licensing Examination (KMLE) regarding its evaluation of competencies in basic biomedical sciences. The basic medicine-related questions were screened and selected from the test forms of the KMLE (2016-2018) by personnel conducting basic biomedical science education, and the selected questions were analyzed by three independent groups of undergraduate students at Chonnam National University Medical School in terms of the learning outcomes of basic medical education. The study scope includes the proportion of basic medicine-related questions, which consist of basic medicine questions and basic medicine-related clinical medicine questions, its annual change, discipline distribution, and associated learning outcomes. The average proportions of basic biomedical sciences, preventive medicine and medical law, and clinical sciences were 2.3%, 5.8%, and 91.9% of all questions, respectively. The proportion of basic medicine-related questions, except those on preventive medicine and medical law, was 22.0% of the total, and questions on pharmacology and microbiology accounted for 83.0% of the basic medicine-related questions. The proportion of sub-enabling learning outcomes linked with basic medicine-related questions comprised 14.0% of the total outcomes for basic biomedical sciences and 30.4% for preventive medicine and medical law. It is concluded that the KMLE questions may not sufficiently cover the essential competencies of basic medical education for medical doctors, and the KMLE may need to be improved with regard to competencies in basic biomedical sciences.

Association Rule Mining and Collaborative Filtering-Based Recommendation for Improving University Graduate Attributes

  • Sheta, Osama E.
    • International Journal of Computer Science & Network Security
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    • 제22권6호
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    • pp.339-345
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    • 2022
  • Outcome-based education (OBE) is a tried-and-true teaching technique based on a set of predetermined goals. Program Educational Objectives (PEOs), Program Outcomes (POs), and Course Outcomes (COs) are the components of OBE. At the end of each year, the Program Outcomes are evaluated, and faculty members can submit many recommended measures which dependent on the relationship between the program outcomes and its courses outcomes to improve the quality of program and hence the overall educational program. When a vast number of courses are considered, bad actions may be proposed, resulting in unwanted and incorrect decisions. In this paper, a recommender system, using collaborative filtering and association rules algorithms, is proposed for predicting the best relationship between the program outcomes and its courses in order to improve the attributes of the graduates. First, a parallel algorithm is used for Collaborative Filtering on Data Model, which is designed to increase the efficiency of processing big data. Then, a parallel similar learning outcomes discovery method based on matrix correlation is proposed by mining association rules. As a case study, the proposed recommender system is applied to the Computer Information Systems program, College of Computer Sciences and Information Technology, Al-Baha University, Saudi Arabia for helping Program Quality Administration improving the quality of program outcomes. The obtained results revealed that the suggested recommender system provides more actions for boosting Graduate Attributes quality.

Successful Robotic Gastrectomy Does Not Require Extensive Laparoscopic Experience

  • An, Ji Yeong;Kim, Su Mi;Ahn, Soohyun;Choi, Min-Gew;Lee, Jun-Ho;Sohn, Tae Sung;Bae, Jae-Moon;Kim, Sung
    • Journal of Gastric Cancer
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    • 제18권1호
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    • pp.90-98
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    • 2018
  • Purpose: We evaluated the learning curve and short-term surgical outcomes of robot-assisted distal gastrectomy (RADG) performed by a single surgeon experienced in open, but not laparoscopic, gastrectomy. We aimed to verify the feasibility of performing RADG without extensive laparoscopic experience. Materials and Methods: Between July 2012 and December 2016, 60 RADG procedures were performed by a single surgeon using the da $Vinci^{(R)}$ Surgical System (Intuitive Surgical). Patient characteristics, the length of the learning curve, surgical parameters, and short-term postoperative outcomes were analyzed and compared before and after the learning curve had been overcome. Results: The duration of surgery rapidly decreased from the first to the fourth case; after 25 procedures, the duration of surgery was stabilized, suggesting that the learning curve had been overcome. Cases were divided into 2 groups: 25 cases before the learning curve had been overcome (early cases) and 35 later cases. The mean duration of surgery was 420.8 minutes for the initial cases and 281.7 minutes for the later cases (P<0.001). The console time was significantly shorter during the later cases (168.6 minutes) than during the early cases (247.1 minutes) (P<0.001). Although the volume of blood loss during surgery declined over time, there was no significant difference between the early and later cases. No other postoperative outcomes differed between the 2 groups. Pathology reports revealed the presence of mucosal invasion in 58 patients and submucosal invasion in 2 patients. Conclusions: RADG can be performed safely with acceptable surgical outcomes by experts in open gastrectomy.

A Critical Review of the Research on Learning during Field-trips

  • Choi, Mee-Young
    • 한국과학교육학회지
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    • 제25권1호
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    • pp.57-77
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    • 2005
  • This review is aimed at the understanding of learning in field-trips relating to education in outdoor activities. The review specifically concerns what studies have been undertaken by seeking evidence from research published between 1950 and 2004. The review indicates three common arguments on learning during field-trips. First, the learning in an informal learning environment based on first-hand experiences is most significant when it has meaning for the learner from field-trips. Second, learning aims and strategies in field-trips have evolved along with world-wide concerns towards the environment. Third, the experiences from field-trips can impact significantly on students' cognitive and affective learning. However, the research of field-trip experiences from outdoor activities has focused on learning outcomes far more than on the learning characteristics which facilitate students' learning. Therefore, further study is required, which can provide clear evidence on how such learning characteristics through field-trips can help studentsto successfully attain educational goals.

학습, 기업 활동 통합 지원 모델 및 템플릿의 연구 - uEFL (Universal Engine For Learning)의 활용을 중심으로 - (Study on Templates and Models for Learning & Business Activity Integration using uEFL(Universal Engine for Learning))

  • 이호건;허원;장진영
    • 통상정보연구
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    • 제10권4호
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    • pp.81-96
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    • 2008
  • uEFL is an open source solution to integrate general business/learning activities and processes. uEFL is originally developed to adopt LD (Learning Design) specification, which represents learning as various combination of learning activities with learning conditions and outcomes. Learning activities are described with participant's role, learning environment, and contextual sequence. This viewpoint resembles BPM (Business Process Modeling). uEFL can convert LD to BPM description. uEFL engine can run converted LD activity with other business activities. This paper presents 4 templates and 2 sample models for uEFL. The templates and models will show how learning activities can be integrated with business activities efficiently.

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