This study analyzed outcomes of CAC(Computing Accreditation Committee) program individually applied in the field of computing engineering since 2007, and draw improvements. Literature review through academic journals, survey research and the FGI(Focus Group Interview) were used to accomplish objectives of the study. In addition, the survey research and FGI were done for professors. For the survey research, nationally 20 out of 44 universities which operates the CAC program were investigated, and sample universities were considered by region. FGI was done to analyze the performance and problems of CAC in more detail for 6 experts. Results of the study were follows as; first, CAC program was activated through the Seoul Accord activation support business by government. Second, BSM(Basic Science and Math), engineering major and engineering design education have been strengthened compared with before and after of CAC introduction in the computing engineering field. Third, soft skills needed for students in the college of engineering have been organized in the professional general curriculum, and professors aware of improvement of ability of the students for the skills. The degree of satisfaction for the CAC program has been examined as normal level, but improvement of educational system and the overall quality enhancement of computing engineering education were affected by CAC program. Nonetheless of positive results of CAC program, incentive system for certification program graduates, the expansion of the autonomy of the department, reduction in the amount of self-evaluation report, and support of administrative human resources were suggested for taking root successfully of CAC program.
Journal of the Korea Academia-Industrial cooperation Society
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v.17
no.9
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pp.340-350
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2016
This study analyzes the structural causal relationship among adult learners' characteristics, participatory motivation, methods of learning process by instructor, institutes satisfaction, and learning outcome. In addition, the study reviews the mechanism by which three different variables work as intermediates in the relationship between adult learners' characteristics and learning outcomes. The study subjects were 444 adult learners who participated in lifelong education, and the research hypothesis was verified through Structure Equation Modeling analysis. The results are as follows. First, the characteristics of adult learners affect learning outcomes, as well as the methods of learning process by instructor affects, participatory motivation and institutes satisfaction, and have a significantly positive(+) effect. Secondly, the methods of learning process by instructor affect institutes satisfaction, and the effect is significant. However, it does not influence participatory motivation. Moreover, it has a negative influence on learning outcomes. Additionally, participatory motivation has a significant effect on both learning outcomes and institutes satisfaction. Thirdly, when examining the ultimate intermediate between the characteristics of adult learners and their learning outcomes, institutes satisfaction was the optimal channel. These study results suggest not only the role of lifelong education institute, but also ways to improve academic outcomes of adult learners within the lifelong education field.
The purpose of this study is to effectively implement the artificial intelligence education required in the digital transformation era. As we enter the era of the 4th industrial revolution, the demand for a great digital transformation in industry is essential, and the nurturing of manpower is presented as an indispensable relationship in the industrial field based on it. The integration of various new technologies that have emerged from the era of the 4th industrial revolution has the greatest purpose in realizing artificial intelligence technology. As the importance of digital competency in the top curriculum reorganization has been highlighted, artificial intelligence education is necessary even in the curriculum reorganization in 2022, and there is a demand in the educational field that it should be converted into a mandatory education in middle and high schools. Artificial intelligence education according to the demands of the times is to develop an artificial intelligence curriculum in universities by reestablishing systematic artificial intelligence education in universities, setting educational goals, and presenting the goals of artificial intelligence education by major. The main direction of this study is to present the relationship between artificial intelligence and each major in university education, develop a curriculum based on artificial intelligence for each major, and link artificial intelligence software for AI education customized for each major. We would like to present a process that can measure the learning outcomes of AI education.
Building professional identity is the most basic purpose of medical education. Students who enter medical schools do not have an identity rooted in the medical profession, and universities should therefore take steps to help students form their identity as doctors, attitudes, beliefs, and values through the curriculum. However, while medical knowledge and clinical skills are fully reflected in basic medical education, issues persist regarding education on values, attitudes, and beliefs that are important for professional identity. Regarding the process of professional identity formation, it is important to keep in mind that rapid changes in modern society lead to corresponding changes in socio-cultural expectations and demands related to professional identity, resulting in discrepancies between the reality of medical education and the actual field of medicine. Medical schools need to prepare students for these discrepancies, and in-depth discussions should address what is important and what should be solved first at medical education sites. However, it is difficult to generalize the tasks of professional identity formation in the field of medical education because each medical school may have unique circumstances. This article discusses the tasks that medical education should solve for professional identity formation education in terms of five aspects: establishing learning outcomes, training educational experts, introducing transformative learning, utilizing self-directed learning, and developing evaluation methods.
Purpose: In recent years, efforts to improve the dental curriculum in South Korea have focused on a shift to outcome-based dental education based on core competencies in dentistry. So far, the field has seen various studies on the development of competencies, performance evaluation, and the importance of outcome-based education, but few studies have documented the development of such an education model. Therefore, this study develops an OBE curriculum for dentistry education and describes the development procedures and then finally this study intends to share our experience to other dental schools. Methods: This study introduces the development procedure and details of an outcome-based education model for dental education and presents the five stages of an outcome-based education model. In this study, 3 educational experts and 2 dental professor composed the TFT and developed the research method according to the ADDIE model. Step 1 is to conduct quantitative / qualitative research analysis through some survey and interview, Step 2 is to do a survey to revise competency, Step 3 is to develop a materials through consensus and participation of our professors of the dental school, Step 4 is to do some workshops, Step 5 is to prepare and conduct a outcome evaluation. Results: Step 1 is a required process for developing an educational model: the Job Analysis & Need Analysis stage. Step 2 is the Development of Outcome and Competency stage, which involves revising the competencies that are the basis of the curriculum. Step 3 is developing competency descriptions, competency levels, and evaluation criteria?the Development of Outcomes and Evaluation Standards. Step 4 is the Development of Milestones for Curriculum and Instructional Strategy, which examines the curriculum's problems and analyzes the improvements of each course. Step 5 is the Evaluating Outcomes stage, conducted based on the competencies specified by the target dental school. Conclustion: The model presented here can serve as a foundation for outcome-based education in other dental schools.
Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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2021.05a
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pp.240-243
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2021
Recently, there have been research results of applying Big data and AI technologies to the evaluation and individual learning for education. It is information technology innovations that collect dynamic and complex data, including student personal records, physiological data, learning logs and activities, learning outcomes and outcomes from social media, MOOCs, intelligent tutoring systems, LMSs, sensors, and mobile devices. In addition, e-learning was generated a large amount of learning data in the COVID-19 environment. It is expected that learning analysis and AI technology will be applied to extract meaningful patterns and discover knowledge from this data. On the learner's perspective, it is necessary to identify student learning and emotional behavior patterns and profiles, improve evaluation and evaluation methods, predict individual student learning outcomes or dropout, and research on adaptive systems for personalized support. This study aims to contribute to research in the field of education by researching and classifying machine learning technologies used in anomaly detection and recommendation systems for educational data.
This study aims to develop and implement a coaching program in the metaverse space to address issues faced by university students during their life stage and verify their effectiveness. The overall program consists of four sessions: "Opening," "Metaverse-based Coaching Clinic (2 sessions)," and "Coaching Clinic Reflection and Feedback." A total of 20 participants were selected through S University's extracurricular program system. To assess the effectiveness of the program, surveys, as well as focus group interviews (FGIs) were conducted. Using SPSS 26.0, significant differences were observed in the participants' career decision self-efficacy and resilience. The FGIs were conducted with a total of four participants divided into two groups, with each group lasting for one hour. The analysis revealed key phases, including the introductory phase comprising participants' motivation and expectations, the main phases consisting of program operation, coaching perception and outcomes, metaverse environment, and metaverse coaching perception and outcomes, as well as the concluding phase in which recommendations are suggested for subsequent programs. The study confirmed the significant impact of coaching in the metaverse space and highlighted the maximization of coaching effectiveness through mutual anonymity facilitated by avatars. This research holds significance as an exploratory study that practically verifies the potential expansion of the metaverse environment in the coaching field.
International Journal of Internet, Broadcasting and Communication
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v.16
no.1
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pp.253-260
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2024
We studied to aim for exploring practical approaches to enhance the effectiveness of creativity education by using artificial intelligence and the metaverse in the field of media contents. Recognizing the need for educational innovation to adapt to the accelerating changes driven by the advancements in artificial intelligence and the metaverse, and considering the increasing importance of fostering creativity as a key competitive advantage for future talents, we focused on research implementing creativity education in the media contents domain. To achieve this, we conducted this study during a semester-long media contents course utilizing artificial intelligence and the metaverse in real classroom setting. We involved in this study collecting feedback and opinions from students to investigate and identify effective strategies for enhancing the impact of creativity education. As a result, we proposed the utility of media contents class using artificial intelligence and the metaverse in enhancing students' creativity. By elucidating which teaching methods are most effective, we contributed to derive beneficial outcomes for media contents creative education.
The National Competency Standards(NCS) has been developed a good curriculum to reflect the demand in the industry. NCS is defined as systemizing the knowledge, skill, and attitude required to perform a task in the industry. It is an effort to reduce the gap between educational requirements and occupational requirements. However, when NCS is applied, the task level is changed to the title of qualification according to the policy outcomes for the government project. And, the NCS has been emphasizing the purpose of license acquisition, rather than using the standard for tasks in the industry. It means that the misuse of NSC hinders utilizing it as the original purpose of standardizing a task. It requires the customer to study the required competency unit with a no-choice option. Moreover, it makes it hard for companies or industry autonomically run the NCS. Therefore, we define the operational range in terms of the education field, the qualification field, and the career field to diffuse and apply NCS, and suggest the effective utilization method.
The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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v.8
no.2
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pp.45-55
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2002
This article review the animals physical therapy. It is so called veterinary physical therapy. The animals physical therapist is working to physical therapy for animals in veterinary clinical field. The veterinary medicine has not veterinary rehabilitation medicine or physical therapy for animals, also physical therapy field in Korea. So, This research will explain about animals physical therapy of Korea and other countries' by journals and internet information and suggest the future of the animals physical therapist. Finally, The veterinary physical therapy is not used to veterinary clinical field in now. But, The veterinary physical therapy will desire to the view of medical serve and economy by the host of animals and clinical veterinarian the future. Animal physical therapy is a new and rapidly developing field of health care for animals. The benefits of physical therapy have long been recognized in humans. More recently, work in the veterinary field has shown the same benefits of physical therapy to be true for animal patients. Performing orthopaedic or neurological surgery, or fitting a human patient with a cast or splint, and then discharging the patient is an outdated approach. In such cases, physical therapy is clearly warranted. Similarly, recent research has shown that post-surgical rehabilitation and therapy after injuries significantly improves the functional outcomes for animals. Physical Therapy is a healthcare profession directed at evaluating, restoring and maintaining physical function and movement. Working with the owner, veterinarian and often other healthcare professionals, a physiotherapist helps your animal to achieve and maintain optimal health and well-being. Equipped with a specialized university Bacheloriate education and intensively educated in Anatomy, Physiology, Biomechanics, Histology, Neurology, and Pathology, PT's are able to assess, diagnose and treat movement and function. Physical Therapy, Sports Medicine and Rehabilitation are recognized sciences applied to both humans and animals. The goals of physiotherapy are to relieve pain, restore range of motion/movement, improve function, prevent injuries and expand the physical potential of the patient. Once in the field, physical therapists actively continue their education to keep up to date on the latest treatments and technologies. Via continuing education courses, physiotherapists can learn how to apply their unique and specialized knowledge to other animal species.
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