• Title/Summary/Keyword: Core Competency

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Using Motivation of Short Video Advertising Marketing in China: An Exploratory Study of Douyin

  • Zeng, Nai
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.8
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    • pp.229-237
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    • 2021
  • This paper aims to study the using motivation and influencing factors of Chinese users' participation in live stream shopping through theoretical and empirical analysis, so as to evaluate the change in users' needs and improve marketing strategies. In doing so, I conducted a questionnaire survey for Chinese live stream shopping users and collected the required data. For empirical analysis, I used SPSS and AMOS software to carry out descriptive analysis, reliability and validity analysis and structural equation model analysis (SEM) to test the hypothesis. The results of the analysis showed that core competency and brand personality of the short video industry have a significant impact on user and customer perceived value, thus influencing users' using motivation. That is, users do not blindly follow live stream shopping but make their active choice. Therefore, it is suggested that live stream shopping platform should strengthen the e-commerce attributes and eradicate "the sense of false satisfaction", in order to achieve the effective communication of information. On the other hand, to stimulate the purchase motivation of users, the brand should build up its personality, and enhance user and customer perceived value in cyber marketing.

A Case Study on the Level of Communication of Dental Hygiene Students after Completing a PBL-Based Dental Communication Curriculum (PBL기반의 치과의료커뮤니케이션 교육과정을 통한 일부 치위생학과 학생들의 치위생 의사소통 역량수준 평가에 대한 사례연구)

  • Choi, Yong-Keum
    • Journal of Korean Dental Hygiene Science
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    • v.4 no.1
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    • pp.65-77
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    • 2021
  • Background: The purpose of the present study was to evaluate changes in the communication capabilities of dental hygiene students after completing a problem based learning (PBL) dental communication curriculum. With this information, we intend to gather the basic data necessary to stress the need for and value of an education in communication regarding dental hygiene. Methods: PBL-based education was provided to a total of 49 third-year dental hygiene students who took the dental communication class taught by the Department of Dental Hygiene at S University during the 2nd semester of 2020. The relevant self-evaluation was modified, based on the aim of the present study, to refer to three basic key competencies related to the communication capabilities of dental hygienists. An assessment of dental communication competency was conducted by analyzing the changes in self-evaluations before and after completing the course, for each question, using a paired t-test. The statistical significance level was set at p < 0.05. Results: Analysis of core competencies before and after PBL-based dental communication education indicated that all competencies were significantly improved after education (p < 0.01). Conclusion: Dental hygiene students' dental communication skills increased significantly after completing PBL-based dental communication education. Therefore, a PBL-based dental communication curriculum is effective in improving dental communication skills for dental hygiene students.

Analysis of Problem-Solving Processes through Data-based STEAM Education: Focusing on Atmospheric Circulation and Surface Currents (데이터 기반 STEAM 교육을 통한 문제 해결 과정 분석: 대기대순환과 표층 해류 내용을 중심으로)

  • Hong, Seok Young;Han, Shin;Kim, Hyoungbum
    • Journal of the Korean Society of Earth Science Education
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    • v.13 no.3
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    • pp.330-343
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    • 2020
  • In this study, STEAM program on the subject of 'atmospheric circulation and surface current' was produced based on data and applied to 106 first-year high school students to analyze its effect and problem-solving processes. This program was organized to collect, refine, visualize, and analyze data and to allow communication processes to proceed based on these results. Using this, the concept of circulation in daily life was expanded from a global perspective to identify problems about circulation around the world. As a result of the application of the program, significant changes were identified in knowledge information processing competency. Also, significant changes were made in terms of convergence and creativity, which are sub categories among STEAM core competencies. It also sought to obtain suggestions for data-based STEAM education by analyzing students' responses in the form of a Text network.

Community-based career education app development for university students (대학생을 위한 공동체 기반 진로교육 앱 설계)

  • Oh, Dongju;Kim, Jin Suk;Park, Su-Hong
    • Journal of The Korean Association of Information Education
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    • v.25 no.2
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    • pp.387-403
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    • 2021
  • The purpose of this study is to design a community-based career education app for college students. Currently, career education in universities has various problems. First, career education is not systemized, second, satisfaction of participating students is not high, and third, competency-based career education is not conducted. Designing a community-based career education app for college students will solve the problem of lack of college career education instructors and increase the satisfaction of students participating in career education. To this end, core values were derived through the results of demand surveys, literature analysis, and network text analysis for college students, and a prototype of the app was devised according to the design of the rapid prototype. The career education program to be used in the app was designed by dividing online and offline activities so that university students can execute them in units of learning communities. Through the first and second usability evaluation and expert evaluation, the final prototype was designed and the app screen was designed.

The Convergence Influence of Socially Prescribed Perfectionism, Fear of Failure, Academic Self-efficacy and Academic Procrastination of Nursing Students (간호대학생의 사회부과 완벽주의, 실패공포 및 학업적 자기효능감이 학업지연행동에 미치는 융복합적 영향)

  • Lim, Sun-young
    • Journal of Convergence for Information Technology
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    • v.12 no.4
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    • pp.23-30
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    • 2022
  • The study was attempted to investigate the factors influencing the academic procrastination of nursing college students. The subjects who participated in this study were 215 nursing students at one college in the Ulsan were surveyed using a structured questionnairs. Independent t-test, one way ANOVA and Pearson's correlation coefficient, Stepwise regression were performed on the collected data using SPSS 25.0 program. Study finding revealed that fear of failure(β=0.65, p<.001), socially prescribed perfectionism(β=0.29, p<.001), about academic procrastination were significant predictive variables(F=26.68, p<.001). This variables accounted for 28.8% of the variance in core nursing competency. The results of this study can be used as basic data for developing a program to lower the academic procrastination level of nursing students.

Factors Influencing on Clinical Decision Making Ability of Nurses in Long-term Care Hospitals (요양병원 간호사의 임상의사결정능력에 미치는 영향요인)

  • No, Ji-Yeong
    • Journal of Digital Convergence
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    • v.20 no.4
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    • pp.769-777
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    • 2022
  • The purpose of this study was to identify factors influencing the clinical decision making ability of nurses in long-term care hospitals. Data were collected from 174 nurses working in long-term care hospitals in G-do from October 11 to December 10, 2021. The data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation and stepwise multiple regression through the SPSS 23.0. As a result of the study, the clinical decision making ability was positively correlated with critical thinking disposition(r=.494, p<.001) and nursing work environment(r=.451, p<.001). Critical thinking disposition and nursing work environment explained 33.1% of clinical decision making ability. In order to improve the clinical decision making ability, which is the core competency of nurses, education to increase critical thinking disposition and the creation of a desirable nursing work environment are necessary. In future research, research to identify various variables affecting the clinical decision making ability of nursing hospital nurses, and research for the development and effectiveness of programs to improve clinical decision making ability are suggested.

Current status of dental hygiene curriculum related to clinical practice for dental hygienists in some universities (일부 대학 치위생학과의 치과임상실무 관련 교육과정 운영현황)

  • Lee, Hyo-Jin;Shin, Bo-Mi;Shin, Sun-Jung;Bae, Soo-Myoung
    • Journal of Korean society of Dental Hygiene
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    • v.21 no.6
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    • pp.793-803
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    • 2021
  • Objectives: The purpose of this study was to investigate the current status of dental hygiene curricula related to clinical practice in Korea. Methods: Clinical work included the categories 'history taking, infection control, oral prophylaxis, preventive treatment, education/counseling, radiography/reading, assisting/cooperation, impression/bite registration, anesthesia, etc.', and 66 works were finally selected based on the frequent tasks of dental hygienists. The subjects were made to answer nine questionnaires. Results: It was found that the theory and practice of the main works operated quite differently in lectures and practice in each school. All types of practice were applied to all schools in the case of 'scaling'. The evaluation of clinical practice was also found to be very different from school to school. Conclusions: For dental hygienists to establish expertise in clinical practice and promote quality improvement, it is necessary to develop a core curriculum focusing on clinical practice. The standardized curriculum should be improved to an efficient and competency-centered one defining clearly the role of dental hygienists considering the needs and importance of clinical practice.

A Study on Use Case Analysis and Adoption of NLP: Analysis Framework and Implications (NLP 활용 사례 분석 및 도입에 관한 연구: 분석 프레임워크와 시사점)

  • Park, Hyunjung;Lim, Heuiseok
    • Journal of Information Technology Services
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    • v.21 no.2
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    • pp.61-84
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    • 2022
  • With the recent application of deep learning to Natural Language Processing (NLP), the performance of NLP has improved significantly and NLP is emerging as a core competency of organizations. However, when encountering NLP use cases that are sporadically reported through various online and offline channels, it is often difficult to come up with a big picture of how to understand and interpret them or how to connect them to business. This study presents a framework for systematically analyzing NLP use cases, considering the characteristics of NLP techniques applicable to almost all industries and business functions, environmental changes in the era of the Fourth Industrial Revolution, and the effectiveness of adopting NLP reflecting all business functional areas. Through solving research questions based on the framework, the usefulness of it is validated. First, by accumulating NLP use cases and pivoting them around the business function dimension, we derive how NLP techniques are used in each business functional area. Next, by synthesizing related surveys and reports to the accumulated use cases, we draw implications for each business function and major NLP techniques. This work promotes the creation of innovative business scenarios and provides multilateral implications for the adoption of NLP by systematically viewing NLP techniques, industries, and business functional areas. The use case analysis framework proposed in this study presents a new perspective for research on new technology use cases. It also helps explore strategies that can dramatically improve organizational performance through a holistic approach that encompasses all business functional areas.

Parameterization of the Company's Business Model for Machine Learning-Based Marketing Stress Testing

  • Menkova, Krystyna;Zozulov, Oleksandr
    • International Journal of Computer Science & Network Security
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    • v.22 no.2
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    • pp.318-326
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    • 2022
  • Marketing stress testing is a new method of identifying the company's strengths and weaknesses in a turbulent environment. Technically, this is a complex procedure, so it involves artificial intelligence and machine learning. The main problem is currently the development of methodological approaches to the development of the company's digital model, which will provide a framework for machine learning. The aim of the study was to identify and develop an author's approach to the parameterization of the company's business processes for machine learning-based marketing stress testing. This aim provided the company's activities to be considered as a set of elements (business processes, products) and factors that affect them (marketing environment). The article proposes an author's approach to the parameterization of the company's business processes for machine learning-based marketing stress testing. The proposed approach includes four main elements that are subject to parameterization: elements of the company's internal environment, factors of the marketing environment, the company' core competency and factors impacting the company. Matrices for evaluating the results of the work of expert groups to determine the degree of influence of the marketing environment factors were developed. It is proposed to distinguish between mega-level, macro-level, meso-level and micro-level factors depending on the degree of impact on the company. The methodological limitation of the study is that it involves the modelling method as the only one possible at this stage of the study. The implementation limitation is that the proposed approach can only be used if the company plans to use machine learning for marketing stress testing.

Digital Human Empathy Index (DHEI) for the Era of Human-AI Symbiosis (AI와 인간 공생의 시대를 위한 디지털휴먼공감지표 개발)

  • Rhee, Hyunjung
    • The Journal of the Korea Contents Association
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    • v.22 no.3
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    • pp.1-16
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    • 2022
  • The current AI technology has been developing rapidly enough to realize or even exceed the level of abilities that only humans had in the past. In the near future, it is predicted that humans and AI will influence each other as members of the metaverse society. Therefore, this study emphasizes the importance of empathy as a core competency for humans to pursue happiness while maintaining the dignity of humans in the era when AI and humans will coexist in the metaverse. In this study, 'Digital Human Empathy Index (DHEI)' is developed that reflects the social nature of computer-mediated communication in the metaverse As a result, DHEI consisted of a total of 7 factors, which are Perspective Taking, Self/Other Awareness, Contextual Understanding of Systemic Barriers, Impact Assessment, Solidarity, Being Peaceful, and Anthropomorphism. This study is expected to contribute to setting the direction of future education by suggesting a new measure of empathy.