• The Journal of Korean Academic Society of Nursing Education
• /
• v.21 no.2
• /
• pp.155-167
• /
• 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.

• Journal of Engineering Education Research
• /
• v.20 no.6
• /
• pp.3-11
• /
• 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.

• Journal of Practical Engineering Education
• /
• v.16 no.2
• /
• pp.129-141
• /
• 2024

In recent times, there has been a shift towards student-centered higher education policies, leading to a growing interest among universities to improve students' learning outcomes. To aid in this endeavor, this study aims to provide guidance for University K to enhance their learning outcome management by comparing and analyzing their learning outcome indicators with those of other domestic and foreign universities. The study examined detailed measurement questions from major learning outcome measurement tools such as AHELO, NSSE, and CLA+. Upon comparison and analysis of University K's major learning outcome indicators with those of other universities, it was found that most of the indicators overlapped. However, some indicators such as student support/facilities for learning, instructor quality, and communication were absent from University K. Therefore, it is crucial to decide whether to add these indicators to the existing learning outcomes or to confirm them through other surveys. Moreover, even for the same indicator, some indicators with different measurement need to consider changing the measurement.

• Dementia and Neurocognitive Disorders
• /
• v.17 no.3
• /
• pp.83-89
• /
• 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.

• Journal of Digital Convergence
• /
• v.17 no.5
• /
• pp.51-63
• /
• 2019

In the rapidly changing society since the Fourth Industrial Revolution, the cultivation of convergence talents that can solve complex problems is emerging as an important issue. The purpose of this study is to propose the core competencies required to establish the program learning outcomes of the engineering and education curriculum, which is the accreditation standard of engineering education proposed by ABEEK(Accreditation Board for Engineering Education of Korea). Case study methodology was applied to achieve the purpose of the study. The case of analysis is design and software convergence majors of domestic and foreign universities. The educational objectives and course syllabi were analyzed. As a result of the research, four core competencies to be achieved in the design and software convergence majors were derived in addition to the ten program outcomes presented by ABEEK. New core competencies are convergence ability, creative thinking, entrepreneurship, and design ability. The result of this study is expected to contribute to the development of the evaluation system for the convergence engineering education field.

• Korean Medical Education Review
• /
• v.25 no.1
• /
• pp.68-77
• /
• 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.

• International Journal of Computer Science & Network Security
• /
• v.22 no.6
• /
• pp.339-345
• /
• 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.

• Journal of Gastric Cancer
• /
• v.18 no.1
• /
• pp.90-98
• /
• 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.

• Journal of The Korean Association For Science Education
• /
• v.25 no.1
• /
• pp.57-77
• /
• 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.

• International Commerce and Information Review
• /
• v.10 no.4
• /
• pp.81-96
• /
• 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.