• Human Ecology Research
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• 제60권2호
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• pp.243-256
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• 2022

Undergraduate freshmen are currently encountering numerous difficulties in adapting to college life due to the outbreak of the COVID-19 pandemic. Thus, several studies have underlined the need to develop interventions focused on undergraduate students' resilience during this situation. We adopted the service design method in identifying the difficulties faced by undergraduate freshmen during this pandemic, and also developed interventions for raising their resilience. The service design method is a person-centered approach which adopts the user's viewpoint in developing solutions, thereby enabling their requirements to be satisfied. Surveys and in-depth interviews revealed that undergraduate freshmen were experiencing psycho-emotional problems which were derived from schoolwork and college life. This is particularly the case with students who are experiencing greater levels of academic difficulty, and were insufficiently equipped with resources such as stress-coping strategies and social support. Four undergraduate freshmen were recruited online to test the effectiveness of a resource promotion program aimed at enhancing their resilience. This program has proved to be helpful in relieving daily/academic stress and in building relationships among freshmen, regarding which the participants showed a high level of satisfaction. The results were discussed by focusing on psycho-emotional difficulties and resources of college freshmen, as well as the effectiveness of the resource promotion program. Further research is required in order to verify the efficiency of the program and to confirm conclusions.

• 정보교육학회논문지
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• 제25권6호
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• pp.899-906
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• 2021

데이터 과학은 통계학, 컴퓨터 과학, 정보기술, 도메인 지식 등 여러 분야의 융합 학문으로써 다양한 학문에서 제공하는 복합적인 기술을 이용하여 데이터를 분석하고 의미 있는 결과를 도출한다. 데이터 과학은 인공지능과 함께 4차산업혁명의 핵심기술로써, 고도의 전문성을 요하는 데이터 과학자의 양성을 위해 세계의 대학과 기업에서는 다양한 프로그램들을 활발히 개발하고 있다. 이러한 사회적 흐름에 맞추어, 초등 교육 현장에서도 데이터 과학 교육의 중요성을 인식하고 학생들이 데이터를 이해하고 활용하도록 관련 콘텐츠를 개발하고자 연구가 진행되고 있다. 본 논문에서는 컴퓨터 분야의 비전공자가 대다수인 현직 초등교사들의 데이터 과학 교육을 목적으로 강의 콘텐츠를 제안하고, 인공지능융합대학원에 재학 중인 현직 초등교사 집단을 대상으로 15차시 교육 과정을 통해 적용하였다. 그리고, 본 논문에서 제안된 데이터 과학 교육 사례의 효과성을 분석하기 위해 학습자들로부터 수집한 설문을 바탕으로 만족도 분석을 실시하였다.

• 한국임상약학회지
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• 제32권4호
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• pp.328-335
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• 2022

Background: Case-based learning (CBL) is becoming an important approach for improving interprofessional collaboration education. Previous studies have examined learners' satisfaction with interprofessional education (IPE) in medical institutions. However, there are few studies on the implementation of university-led CBL interventions and their direct effects on learning outcomes. The aim of this study was to evaluate the effectiveness of CBL interventions on changes in the participants' perception and knowledge acquisition ability. Methods: The CBL approach consisted of team-based case-based learning, self-directed learning, and post-feedback. It was conducted as a single course for pharmacy students in their 5th year in a university setting. Changes in the participants' perceptions and self-assessments of competence levels were evaluated using survey responses. The effect of the CBL intervention on knowledge acquisition ability was directly evaluated using the exam score. Results: The majority agreed or strongly agreed that team-based case-based learning, and self-directed learning helped them to improve their knowledge and skills to a higher level and to increase the self-assessment of competency level. The average score of knowledge acquisition ability (average score of 75.0, p=0.0098) was significantly higher in the CBL intervention group than the lecture-based learning intervention group (average score of 52.0). Conclusion: The participants positively perceived that CBL intervention helped them to effectively improve their knowledge and the self-assessment of competency level. It also enhanced knowledge acquisition ability. These data, based on the survey responses, suggest that it is necessary to implement CBL interventions in a university-led single professional education.

• 임상간호연구
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• 제15권2호
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• pp.77-89
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• 2009

Purpose: The purpose of this study was to compare maternal perceptions between two groups of postpartum women, women who chose to have their babies room-in and women who did not (non rooming-in group). Methods: Data collection was conducted in 37 hospitals from August 10 to September 20, 2008. The participants were 209 mothers opting for rooming-in and 128 mothers for non rooming-in. The women completed a questionnaire which included the Edinburgh postpartum depression scale, maternal attachment inventory, and postpartum self-evaluation questionnaire. Results: There were significant differences in education level, income and antenatal education between the rooming-in and non rooming-in groups. The rooming-in group also showed higher levels of satisfaction with medical services. More important, the rate of breast feeding for the rooming-in group was higher than for the non rooming-in group. There was no difference between the two groups for postpartum depression, maternal attachment and mothers' confidence with infant care tasks. Conclusion: These findings suggest that rooming-in system has more advantages compared to non rooming-in and that it can help to promote breast feeding. The authors recommend that the rooming-in system be expanded nationwide. The results of this research can be used to assist the development of future rooming-in system expansion strategy.

• 문화기술의 융합
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• 제9권4호
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• pp.283-290
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• 2023

유학생이 계속 늘고 있는 국내 교육 시장에서 소셜 미디어를 활용한 대학 마케팅이 중요해지고 있다. 본 연구는 소셜 미디어를 사용하는 소비자의 심리적 요인에서 출발하여 한국 교육 관광지의 온라인 구전의도에 영향을 미치는 요소를 탐구했다. 본 연구에서는 온라인 구전의도에 영향을 미칠 수 있는 영향을 설명하고 있으며 교육 관광지의 이미지와 중국 관광객의 관광만족감의 중요성을 확인했다. 또한, 소셜 미디어를 사용할 목적으로 여행하는 이용자들은 자아 이미지 일치성과 과시적 자기표현을 더 중요시하는 경향을 발견했다. 본 연구에서는 대학 마케팅을 목적으로 소셜 미디어를 사용하고 온라인 구전을 활성화함으로써 중국 관광객이 한국 교육 관광지에 대한 인식을 개선할 수 있으며 나아가서 유학생 모집에서도 성공적일 수 있음을 밝혀냈다.

• 한국병원경영학회지
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• 제28권3호
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• pp.27-38
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• 2023

Objectives: This study explores the impact of age groups on social presence and trust among users of medical artificial intelligence chatbots. Furthermore, we investigate the existence of gender differences within these relationships. Method: We collected data through a survey from people who had interacted with general hospital chatbot services, either by making reservations or seeking consultations. Multiple linear regression analysis was conducted to examine the relationship between general characteristics of study population and social presence and trust of artificial intelligence chatbots. Additionally, we conducted stratified analysis to confirm the presence of gender differences within these relationship. Results: Among 300 participants, those aged 50 and older had higher social presence of artificial intelligence chatbots and greater trust of artificial intelligence chatbots (social presence, 𝛽=0.543, p=0.003; trust, 𝛽=0.787, p=0.000). In stratified by sex, women aged 50 and older had higher social presence and trust of artificial intelligence chatbots compared to those in their 30s age group (social presence, 𝛽 = 0.925, p=0.002; trust, 𝛽=0.645, p=:0.007). However, there was no statistically significant relationship between age and chatbot social presence and trust in men. Conclusion: This study demonstrates that advanced age plays a significant roles in users' social presence and trust in medical artificial intelligence chatbots. Futhermore, our findings reveal gender differences with women aged 50 and older showing the most substantial levels of social presence and trust. Therefore, it is expected that this finding can serve as valuable evidence to enhance the satisfaction of medical institution service users, offering crucial insights into the effective utilization of chatbot services.

• 치위생과학회지
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• 제23권4호
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• pp.271-281
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• 2023

Background: This study aims to improve dental hygiene education by investigating the relationship between metacognition, learning flow, and problem-solving abilities in dental hygiene majors. Methods: A survey was conducted on 2nd to 4th-year students from dental hygiene programs, with 132 responses analyzed. Data analysis involved t-tests and ANOVA to examine the differences in metacognition, learning flow, and problem-solving abilities based on the general characteristics. Multiple regression analysis was employed to investigate the factors influencing the dependent variable, which is problem-solving abilities. The collected data were analyzed using SPSS. Results: First, when comparing metacognition, learning flow, and problem-solving abilities based on the general characteristics of the study participants, statistically significant differences were observed in common factors such as major satisfaction, subjective academic performance, GPA (grade point average), and reason for major choice (p<0.05). Second, it was found that there is a significant positive correlation between metacognition, learning flow, and problem-solving abilities in dental hygiene students (r≥0.79, p<0.05). In other words, higher levels of metacognition and learning flow were associated with better problem-solving abilities. Third, factors influencing problem-solving abilities were identified, with both metacognition and learning flow having a statistically significant positive impact. It was also noted that metacognition had a greater influence on problem-solving abilities compared to learning flow (adjusted R²=0.815, p<0.05). Conclusion: To enhance the core competency of problem-solving abilities, it is essential to improve metacognition and learning flow. To enhance metacognition and promote learning flow, strategies such as goal setting, utilizing effective learning methods, boosting self-efficacy, managing the learning environment, choosing activities that foster immersion, stress management, self-assessment and feedback integration, improving focus, and utilization a variety of learning experiences will be necessary.

• International Journal of Computer Science & Network Security
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• 제23권10호
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• pp.37-43
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• 2023

The hospital situation, timing, and patient restrictions have become obstacles to an optimum therapy session. The crowdedness of the hospital might lead to a tight schedule and a shorter period of therapy. This condition might strike a post-stroke patient in a dilemma where they need regular treatment to recover their nervous system. In this work, we propose an in-house and uncomplex serious game system that can be used for physical therapy. The Kinect camera is used to capture the depth image stream of a human skeleton. Afterwards, the user might use their hand gesture to control the game. Voice recognition is deployed to ease them with play. Users must complete the given challenge to obtain a more significant outcome from this therapy system. Subjects will use their upper limb and hands to capture the 3D objects with different speeds and positions. The more substantial challenge, speed, and location will be increased and random. Each delegated entity will raise the scores. Afterwards, the scores will be further evaluated to correlate with therapy progress. Users are delighted with the system and eager to use it as their daily exercise. The experimental studies show a comparison between score and difficulty that represent characteristics of user and game. Users tend to quickly adapt to easy and medium levels, while high level requires better focus and proper synchronization between hand and eye to capture the 3D objects. The statistical analysis with a confidence rate(α:0.05) of the usability test shows that the proposed gaming is accessible, even without specialized training. It is not only for therapy but also for fitness because it can be used for body exercise. The result of the experiment is very satisfying. Most users enjoy and familiarize themselves quickly. The evaluation study demonstrates user satisfaction and perception during testing. Future work of the proposed serious game might involve haptic devices to stimulate their physical sensation.

• 근관절건강학회지
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• 제31권1호
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• pp.22-30
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• 2024

Purpose: In-hospital cardiac arrest is rare, but often results in high mortality rates. Early and effective cardiopulmonary resuscitation (CPR) is crucial for survival and nurses are often the first responders. This study aimed to investigate how inter-professional attitudes and educational burdens affect self-efficacy related to CPR performance following team-based CPR simulation training. Methods: This retrospective observational study analyzed data from a satisfaction survey conducted after team-based CPR training sessions between January and November 2022. Of the 454 nurses surveyed, 238 were included in the study after excluding those with ambiguous responses. Multiple regression analysis was performed to assess factors influencing CPR self-efficacy. The factors examined included inter-professional attitudes and educational burden. Results: Higher levels of inter-professional attitudes, particularly regarding teamwork roles and responsibilities, lower educational burden, and a positive perception of CPR competence were all associated with improved CPR-related self-efficacy. Participants who reported higher engagement in teamwork, lower task load, and greater confidence in their CPR abilities demonstrated higher self-efficacy in performing CPR. Conclusion: Enhancing the competencies of nurses who may act as initial responders in CPR situations within or outside hospital settings can help save lives and support public health.

• 한국컴퓨터정보학회논문지
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• 제29권2호
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• pp.67-78
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• 2024

4차 산업혁명과 인공지능이 대두되면서 사회구조가 변화하고 있으며, 미래 인재 양성을 위한 인공지능 교육에 대한 세계적인 관심이 높아지고 있다. 이에 본 연구는 고등학교 1학년 학습자를 위한 인공지능 융합 국어 교과 교육 프로그램을 개발하는 것을 목적으로 하여 ADDIE 모형에 근거하여 교수·학습 프로그램을 개발하였다. 교육 프로그램의 효과를 평가하기 위해 미래 핵심역량 4C(Collaboration-협업, Communication-의사소통, Critical Thinking-비판적 사고, Creativity-창의력)과 지식정보처리 역량에 대한 사전-사후 검사를 수행하였고 총 9차시 동안 4개의 작은 프로젝트들로 수업을 구성하여 학생들에게 인공지능을 융합한 국어 교과 교육의 새로운 경험을 제공하고자 하였다. 그 결과, 프로그램 적용 학생들은 모든 영역에서 미래 핵심역량의 향상을 나타냈으며, 만족도 및 질적 분석에서도 긍정적인 결과를 도출했다. 이를 통해 본 프로그램이 고등학교 국어 교육에 인공지능을 성공적으로 융합하여 학생들의 미래 인재 양성에 기여 할 수 있는 가능성을 제시하고자 한다.