• 의학교육논단
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• 제23권3호
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• pp.147-153
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• 2021

The coronavirus disease 2019 (COVID-19) pandemic made it necessary for medical schools to restructure their curriculum by switching from face-to-face instruction to various forms of flexible learning. Flexible learning is a student-centered approach to learning that has received interest in many educational sectors. It is a critical strategy for expanding access to higher education during the pandemic. As flexible learning includes online, blended, hybrid, and hyflex learning options, learners have the opportunity to select an instruction modality based on their needs and interests. The shift to flexible learning in medical education took place rapidly in response to the COVID-19 pandemic, and learners, instructors, and schools were not prepared for this instructional change. Through the lens of the technology acceptance model, human agency, and a social constructivist perspective, I examine students, instructors, and educational institutions' roles in successfully navigating the digital transformation era. The pandemic has also accelerated the use of advanced information and communication technologies, such as artificial intelligence and virtual reality, in learning. Through a review of the literature, this paper aimed to reflect on current flexible learning practices from the instructional design and educational technology perspective and explore emerging technologies that may be implemented in future medical education.

• Child Health Nursing Research
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• 제25권4호
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• pp.507-517
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• 2019

Purpose: This study was conducted to examine the effects of team-based problem-based learning combined with smart education among nursing students. Methods: A quasi-experimental non-equivalent control group, pre-posttest design was used. The experimental group (n=36) received problem-based learning combined with smart education and lectures 7 times over the course of 7 weeks (100 minutes weekly). Control group (n=34) only received instructor-centered lectures 7 times over the course of 7 weeks (100 minutes weekly). Data were analyzed using the $x^2$ test, the Fisher exact test, and the independent t-test with SPSS for Windows version 21.0. Results: After the intervention, the experimental group reported increased learning motivation (t=2.70, p=.009), problem-solving ability (t=2.25, p=.028), academic self-efficacy (t=4.76, p<.001), self-learning ability (t=2.78, p<.001), and leadership (t=2.78, p=.007) relative to the control group. Conclusion: Team-based problem-based learning combined with smart education and lectures was found to be an effective approach for increasing the learning motivation, problem-solving ability, academic self-efficacy, self-learning ability, and leadership of nursing students.

• Journal of Gastric Cancer
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• 제15권1호
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• pp.29-38
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• 2015

Purpose: Before expanding our indications for laparoscopic gastrectomy to advanced gastric cancer and adopting reduced port laparoscopic gastrectomy, we analyzed and audited the outcomes of laparoscopy-assisted distal gastrectomy (LADG) for adenocarcinoma; this was done during the adoptive period at our institution through the comparative analysis of short-term surgical outcomes and learning curves (LCs) of two surgeons with different careers. Materials and Methods: A detailed comparative analysis of the LCs and surgical outcomes was done for the respective first 95 and 111 LADGs performed by two surgeons between July, 2006 and June, 2011. The LCs were fitted by using the non-linear ordinary least squares estimation method. Results: The postoperative morbidity and mortality rates were 14.6% and 0.0%, respectively, and there was no significant difference in the morbidity rates (12.6% vs. 16.2%, P=0.467). More than 25 lymph nodes were retrieved by each surgeon during LADG procedures. The LCs of both surgeons were distinct. In this study, a stable plateau of the LC was not achieved by both surgeons even after performing 90 LADGs. Conclusions: Regardless of the experience with gastrectomy or laparoscopic surgery for other organs, or the age of surgeon, the outcome was quite acceptable; the learning process differ according to the surgeon's experience and individual characteristics.

• 한국콘텐츠학회논문지
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• 제20권1호
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• pp.562-572
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• 2020

본 연구는 동료학습을 적용한 조리실무관련 실습과목의 학습부진 대학생의 주관적 인식유형을 분석하여 조리실무 관련 수업의 보다 나은 교육효율성 제고를 위한 기초 자료를 제공하고자 한다. 또한 소규모 학생들의 주관적 인식에 대한 연구를 위해 Q방법론을 이용하여 분석하였으며, 주관적 인식들 사이에서 발견되는 공통적인 특징의 분석을 통해 총 3가지의 유형을 도출하였다. 제 1유형(N=8) : 학습효과 증대 형 (Increase learning effectiveness type), 제 2유형(N=8): 소극적 학생에 대한 수업자료개발 필요 (Development of lesson materials for passive students), 제3유형(N=6): 실습형 자기주도학습 개발 필요 (Practical self-directed learning needs development)은 각각 고유의 특징을 가진 유형으로 분석되었다. 결과적으로 조리실무관련 실습과목의 학습부진 학생들에게 동료학습을 적용함으로서 학습부진학생들의 수업흥미유발, 실수감소로 인한 자신감 상승 등의 학습효과증대와 추가학습에 대한 인식 증가와 주도적 학습 참여 유도와 같은 긍정적인 학습효과를 가져왔음을 발견하였으나, 일부학생의 경우 동료학생에 피해를 주는 것 같은 느낌과 타 학생들의 시선에 대한 부담감을 표현하는 집단이 발견되기도 했다. 연구 결과를 통해 수준별 학습 분위기가 조성된 학습 환경에서의 실습조리과정의 진행과 주도적 학습을 위한 추가 교육과정의 개발은 보다 효과적인 동료학습을 위한 추가적인 조건임을 발견하였다.

• 대한간호학회지
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• 제41권1호
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• pp.36-46
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• 2011

practice in operating room nursing and to examine the learning effects. Methods: Based on content and need analysis, 9 learning modules were developed for nursing care in operating rooms and with operating equipment. To verify the effects of the program, a quasi- experimental pretest-posttest control group design was employed. The participants in this study were 74 third-year nursing students (34 in the experimental and 40 in the control group) from a junior college in G-city, Korea, who were engaged in a one week clinical practicum in an operating unit. Frequencies, $X^2$-test and t-test with the SPSS program 17.0 were used to analyze the data. Results: Knowledge was significantly higher in the experimental group compared to the control group (p=.018). However, there was no significant difference between the two groups in self-directed learning. The experimental group had significantly higher motivation toward learning, which was examined posttest only (p=.027). Conclusion: These results indicate that the implementation of an e-Learning program needs to be continued as an effective educational tool, but more research on the best way to implement e-Learning in students' practicum is needed.

• International Journal of Computer Science & Network Security
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• 제24권2호
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• pp.143-149
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• 2024

The role of social networking mobile applications such as WhatsApp in enhancing second language vocabulary learning among English language learners continues to be a subject of interest for many scholars. The current study aimed at examining medical English vocabulary learning among undergraduate students using WhatsApp compared to learning vocabulary via the Blackboard platform during the Covid-19 pandemic. To this end, 108 medical students (51 males, 57 females) enrolled in a first semester English for a specific English course participated in the study. A quasi-experimental design was adopted for two groups. Fifty-three students participated in the WhatsApp group and 55 students formed the Blackboard group. A pretest-posttest design was employed to collect data. Results of t-test scores did not show a significant difference between the WhatsApp and Blackboard groups on a vocabulary test. Results of a survey that measured students' opinion of the use of WhatsApp as a platform for learning new vocabulary showed positive perceptions since participants thought that WhatsApp enhanced their learning experience.

• 한국보육지원학회지
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• 제6권2호
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• pp.1-15
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• 2010

본 연구의 목적은 컴퓨터 활용을 통한 유아의 정보능력에 있어 가정에서의 컴퓨터 사용유무, 유치원에서의 컴퓨터 교육 경험 및 교육의 형태, 부모의 컴퓨터 활용교육에 대한 찬부(贊否)가 유아의 정보능력에 어떠한 영향을 미치는지를 알아보기 위해 전주시에 소재한 5개 유치원에 재원중인 4세 유아 118명을 대상으로 하였다. 교사 평정에 의한 유아 정보능력 측정 도구를 사용하여 유아의 정보능력에 영향을 미치는 요인들을 파악하였다. 자료 분석의 결과, 가정에서의 사용유무의 차이는 유아의 정보능력에 커다란 영향을 미치지는 못하였으나, 유치원에서의 컴퓨터 교육 경험 및 교육의 형태, 부모의 컴퓨터 활용교육 찬부(贊否)에 따라 유아의 정보능력에 차이가 있는 것으로 나타났다. 연구에서 얻어진 결과를 토대로 시사점과 제안점이 논의되었다.

• 성인간호학회지
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• 제22권1호
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• pp.70-79
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• 2010

Purpose: This study was conducted to develop a Web-based learning program on cardiopulmonary emergency care for clinical nurses and to evaluate learners' responses. Methods: Based on the assessment of learning needs of clinical nurses, a total of three self-directed learning modules were developed according to the procedure of the ADDIE (assessment, design, development, implementation, & evaluation) model. Results: Each learning module included the emergency treatments and drugs used in the real patients' situations with cardiopulmonary crisis, which had been adopted from the emergency department of a C University hospital located in G-city. Real video clips for endotracheal intubation and ACLS (advanced cardiac life support) were developed with the help of the staff of the department of emergency medicine using a human simulator, $SimMan^{(R)}$. The program published on the Web was evaluated by 20 clinical nurses who are working in the emergency department and wards of a C-University hospital. About 80% of the respondents were satisfied with the program contents, design, and learning strategy. Conclusions: Web-based learning programs on cardiopulmonary emergency care are needed for clinical nurses as educational material for staff education to increase their knowledge for making immediate clinical decisions and in giving skilled care in emergency situations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권7호
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• pp.2668-2717
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• 2021

Demands for high-speed wireless data services grow rapidly. It is a big challenge to increasing the network capacity operating on licensed spectrum resources. Unlicensed spectrum cellular networks have been proposed as a solution in response to severe spectrum shortage. Licensed Assisted Access (LAA) was standardized by 3GPP, aiming to deliver data services through unlicensed 5 GHz spectrum. Furthermore, the 3GPP proposed 5G New Radio-Unlicensed (NR-U) study item. On the other hand, artificial intelligence (AI) has attracted enormous attention to implement 5G and beyond systems, which is known as Intelligent Radio (IR). To tackle the challenges of unlicensed spectrum networks in 4G/5G/B5G systems, a lot of works have been done, focusing on using Machine Learning (ML) to support resource allocation in LTE-LAA/NR-U and Wi-Fi coexistence environments. Generally speaking, ML techniques are used in IR based on statistical models established for solving specific optimization problems. In this paper, we aim to conduct a comprehensive survey on the recent research efforts related to unlicensed cellular networks and IR technologies, which work jointly to implement 5G and beyond wireless networks. Furthermore, we introduce a positioning assisted LTE-LAA system based on the difference in received signal strength (DRSS) to allocate resources among UEs. We will also discuss some open issues and challenges for future research on the IR applications in unlicensed cellular networks.

• 대한간호학회지
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• 제35권6호
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• pp.1113-1124
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• 2005

Purpose: The purpose of this study was to develop an e-Learning program about medication for nurses to enhance nurses' medication performance ability and to analyze learners' responses after studying with this program. Method: For the development of the e-Learning program, the NBISD(Network Based Instructional Systems Design) model, suggested by Jung(I999) was applied as a basic model and the instruction design theory of Gagne & Briggs(1979) and ARCS theory of Keller(I983) were applied. After the operation of this program for one month to 34 new nurses, learners' responses were analyzed. Result: Learners' knowledge of medication was greatly improved after this program. In addition learners' satisfaction with the overall education program, help in field applicability, ease of screen shift and exploration, and tutor activities were high and the contents were regarded suitable for e-Learning. Many things were advantageous such as easy accessibility, easy understandability with pictures and flash animation, practical cases and feedback from a tutor. Provision of a supplementary handout and improvement of a tight time schedule were pointed out as things to be improved. Conclusion: This e-Learning program can be used effectively for medication education for registered nurses, student nurses, and new nurses.