• Journal of Practical Engineering Education
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• v.13 no.2
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• pp.261-270
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• 2021

The purpose of this study is to develop a capstone design program by applying a design thinking methodology to the digital healthcare field to cultivate creative convergence talents with complex and practical skills and understanding of new technologies required in the era of the 4th industrial revolution. To this end, we analyzed the literature and previous studies in the field of digital healthcare and capstone design and proposed a capstone design model and application plan in the field of digital healthcare. The effectiveness was confirmed through expert review, and the effectiveness was analyzed by pilot application of the capstone design program. This is meaningful in that it can be used as an operation guide that can be used step-by-step when applying the capstone design in the digital healthcare field.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.487-492
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• 2022

Universities are looking for various methods to enhance educational competence level suitable for the rapidly changing social environment. This study suggests a method to promote academic and educational achievements by reducing drop-out rate from their majors through implementation of pre-survey of satisfaction that revised and complemented survey items. To supplement the CQI method implemented after a general satisfaction survey, a pre-survey of satisfaction was carried out. To consolidate students' competences, this study made prediction and analysis of data with more importance possible using the Random Forest of the machine learning technique that can be applied to AI Medici platform, whose design is underway. By pre-processing the pre-survey of satisfaction, the students information enrolled in classes were defined as an explanatory variable, and they were classified, and a model was created and learning was conducted. For the experimental environment, the algorithms and sklearn library related in Jupyter notebook 3.7.7, Python 3.7 were used together. This study carried out a comparative analysis of change in educational satisfaction survey, carried out after classes, and trends in the drop-out students by reflecting the results of the suggested method in the classes.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.2078-2079
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• 2009

This research suggests the framework for human body learning system using various forms of bidirectional interfaces. The existing systems mostly use the limited and unidirectional methods which are merely focused on the visual information. Our system provides more realistic visual information using 3D organ models from the real human body. Also we combine the haptic and augmented reality techniques into our system for wider range of interaction means. Through this research, we aim to overcome the limitation of existing science education systems and explore the effective scheme to fuse the real and virtual educational environment into one.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.355-357
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• 2019

Now that we are entering an aging society, the user interface for new devices and IoT technology is very inconvenient for senior generation. To improve this, we propose an AI technology-based intelligent senior assistant voice recognition system. This system implements Cloud platform based API to accumulate data for machine learning processing, provides content for diagnosis and prevention of dementia, and provide chat-bot content for senior generation. We hope that senior generations will increase the accessibility and convenience of IoT devices and new technology devices with our system.

• Journal of The Korean Association For Science Education
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• v.43 no.2
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• pp.151-166
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• 2023

This study identified the perceptions of science and technology researchers about interdisciplinary collaboration and the difficulties experienced in the collaboration process and the types of strategies they set up to overcome them. For this study, a questionnaire was developed with five-point Likert-scale questions that confirm attitudes toward interdisciplinary collaboration and qualitative questions that describe difficulties and strategies to overcome difficulties experienced in the collaboration experience. A total of 79 domestic science and technology researchers responded to the survey, and the collected data were analyzed quantitatively and qualitatively. As a result of the study, it was confirmed that the recognition of the efficacy of collaboration had an important influence on the intention of collaboration, but the level of the recognition of the efficacy of collaboration was relatively low. In addition, there were four types of difficulties in the interdisciplinary collaboration process, and seven types of strategies were identified to overcome these. Based on these findings, it was suggested that convergence education should reflect the pluralistic nature of modern science and the features of various collaborations that occur within it.

• Journal of Practical Engineering Education
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• v.11 no.2
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• pp.195-206
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• 2019

Accelerated technological advances and the convergence of information and communication technologies have led to changes of career concepts from one of lifetime employment to that of lifetime career. Given the importance of continuous career development for workers these days, systematic supports for workers' career development at the national level is necessary. Accordingly, a conceptual model of career competency mobility map (CCMM) has been proposed to support the development of workers' career competencies. The purpose of this study is to identify key issues that we should consider for real implementation by applying to each stage of the CCMM conceptual model as a case study. Based on the procedure presented in the conceptual model, the research process which includes collecting user information, conducting self-diagnosis of NCS-based job competencies, deriving necessary training competency, offering the guidance of training programs and job information were conducted. The results of the case study showed our participants' scores of competencies required further development and ranged from 1.83 to 4.52. Sequentially, a personalized information profile was offered for competency development, including training, certificates, and job information. Participants stated that the diagnosis results and profiles were meaningful and helped to explore further career development. Based on the results, implications are suggested.

• Journal of Platform Technology
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• v.11 no.5
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• pp.72-83
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• 2023

ChatGPT, commercial launch in late 2022, has shown successful results in various professional exams, including US Bar Exam and the United States Medical Licensing Exam (USMLE), demonstrating its ability to pass qualifying exams in professional domains. However, further experimentation and analysis are required to assess ChatGPT's scholastic capability, such as logical inference and problem-solving skills. This study evaluated ChatGPT's scholastic performance utilizing the Korean College Scholastic Ability Test (KCSAT) subjects, including Korean, English, and Mathematics. The experimental results revealed that ChatGPT achieved a relatively high accuracy rate of 69% in the English exam but relatively lower rates of 34% and 19% in the Korean Language and Mathematics domains, respectively. Through analyzing the results of the Korean language exam, English exams, and TOPIK II, we evaluated ChatGPT's strengths and weaknesses in comprehension and logical inference abilities. Although ChatGPT, as a generative language model, can understand and respond to general Korean, English, and Mathematics problems, it is considered weak in tasks involving higher-level logical inference and complex mathematical problem-solving. This study might provide simple yet accurate and effective evaluation criteria for generative artificial intelligence performance assessment through the analysis of KCSAT scores.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.37-48
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• 2017

Recently, the importance of software education is growing because computational thinking of software education is recognized as a key means of future economic development. Also human resources who will lead the 4th industrial revolution need convergence and creativity, computational thinking based on critical thinking, communication, and collaborative learning is known to be effective in creativity education. Software education is also a time needed to reflect social issues such as collaboration with developers sharing interests and open source development methods. Github is a leading social coding site that facilitates collaborative work among developers and supports community activities in open software development. In this study, we apply operational cases of basic learning of social coding sites, learning for storage server with sources and outputs of lectures, and open collaborative learning by using Github. And we propose educational model consisted of four stages: Introduction to Github, Using Repository, Applying Social Coding, Making personal portfolio and Assessment. The proposal of this paper is very effective for software education by attracting interest and leading to pride in the student.

• Journal of Digital Convergence
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• v.16 no.5
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• pp.65-73
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• 2018

The objective of this study is to suggest the contents of education for software for Undergraduates who are not majoring in IT to cultivate creative and convergent people to prepare for the 4th Industrial Revolution. In the background, this study investigated the relationship between design thinking and computing thinking factors and examined the direction of software education to develop creative problem solving abilities. Two specialist questionnaires and focus group interviews were used to derive two levels of content elements for design thinking based computing thinking. According to the results of the analysis, This research is based on the process of design thinking, focusing on diffuse thinking at the first level, and the whole contents are composed. The process of producing a prototype was used to derive the computational thinking contents necessary for problem solving. This study focuses on convergent thinking at the second level and draws out the contents of computing thought to embody the first level contents of various ideas and stories into computing. It is expected that this study will be used as basic data to develop the content and method of education as SW education for non - major subject in university.

• Journal of The Korean Association For Science Education
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• v.39 no.2
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• pp.279-293
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• 2019

This study investigated the effects of national science leading school programs on students' positive experiences about science (PES) and teachers' perceptions of curriculum implementation factors affecting students' PES. For this study, Test for Indicators of Positive Experiences about Science (TIPES) was administered to a total of 11,488 students from 117 national science leading schools and 1,315 students from 50 normal counterpart schools. In addition, a total of 105 teachers were given a survey asking their curriculum implementation levels and perceptions on importance and performance levels of each identified factor that was known to influence students' PES. Students' total PES scores and scores in five sub-components of PES were widely varied across science leading school program types. In general, participating teachers reported common curriculum implementation factors that most positively affected students' PES including 'science-related activities out of school,' 'student-centered research projects,' 'ICT-related materials' and 'performance assessment.' Based on these results, implications for science education were discussed.