• Journal of the Korea Society of Computer and Information
• /
• v.28 no.4
• /
• pp.175-186
• /
• 2023

This study was conducted to explore the necessary conditions and support for stable operation of an expanded AI curriculum in education. A high school that has implemented an AI curriculum since 2020 was targeted, and students and teachers were surveyed on their perceptions of the AI curriculum, implementation and support strategies. The survey items were categorized into 1) experience with AI education, 2) implementation direction of AI education, and 3) expected effects through AI education, and the results were derived focusing on frequency analysis to identify trends. The analysis resulted in three implications. First, it was suggested that the activation of AI education. Second, the need to develop a hands-on AI curriculum and incorporate AI throughout the entire curriculum was highlighted. Third, it was emphasized that efforts to enhance the capabilities of teachers to implement AI teaching and learning, along with the expansion of physical infrastructure for hands-on education, are necessary.

• Journal of The Korean Association of Information Education
• /
• v.25 no.2
• /
• pp.423-436
• /
• 2021

In the future, artificial intelligence (AI) technology is expected to become a general-purpose technology (GPT), and it is predicted that AI competency will become an essential competency. Several nations around the world are fostering experts in the field of AI to achieve technological proficiency while working to develop the necessary infrastructure and educational environment. In this study, we investigated the status of software education at the liberal arts level at 31 universities in Seoul, along with precedents from domestic and foreign AI education research. Based on this, we concluded that an AI literacy education model is needed to link software education at the liberal arts level with professional AI education. And we classified 20 AI-related lectures released in the KOCW according to the AI literacy competencies required; based on the results of this classification, we propose a model for AI literacy education in the liberal arts for undergraduate students. The proposed AI literacy education model may be considered as AI·SW convergence to experience AI along with literacy in the humanities, deviating from the existing theoretical and computer-science-based approach. We expect that our proposed AI literacy education model can contribute to the proliferation of AI.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.18 no.4
• /
• pp.715-722
• /
• 2023

The purpose of this study is to revitalize rehabilitation treatment for people with physical disabilities by presenting a convergence plan between e-sports and rehabilitation exercises using AI-based metaverse. Metaverse-based e-sportscan be useful in providing sports experiences to people with physical disabilities who are unable to participate in society, and this also allows individuals with disabilities to experience sports that are difficult to actually experience. The use of metaverse will enable effective rehabilitation exercise links in vulnerable communities such as hospitals and farming and fishing villages, and provide integrated services of medical and rehabilitation movements that allow exercise data to be managed in an integrated manner. To this end, interdisciplinary experts should participate in the convergence development of e-sports and rehabilitation exercise.

• Korean Journal of Cognitive Science
• /
• v.1 no.2
• /
• pp.175-192
• /
• 1989

The main problems of artificial intelligence (AI)which are vividly being discussed today are not only scientific but also involve serious philosophical dimension.The purpose of this paper is to analyze the computer scientist's definitions of AI and by this method uncober and examine the controversial arguments and problems.The result is to clarify the meaning of AI-research program. It can be said that we can clssify the definitions of AI in various types according to the interest and purpose of AI-reasearchers or the strength of their arguments.But this leaves much to be considered.We have also to consider and analyze the following related problems: Understanding how we grasp human intelligence,what relations there are between intelligence and the brain,and what the logical structure of simulating and copying is with the computer. In this respect,the key problem in AI-research is not the matter of it's use and experience such as computer technonolgy,rather it is the philosophical problem of the a priori such as logic,analysis of the concept.

• Education of Primary School Mathematics
• /
• v.26 no.3
• /
• pp.163-180
• /
• 2023

This study aimed to investigate the factors influencing the intentions of elementary school teachers to use artificial intelligence (AI) in mathematics lessons and to identify the essential prerequisites for the effective implementation of AI in mathematics education. To achieve this purpose, we examined the structural relationship between elementary school teachers' TPACK(Technological Pedagogical Content Knowledge) and the TAM(Technology Acceptance Model) using structural equation model. The findings of the study indicated that elementary school teachers' TPACK regarding the use of AI in mathematics instruction had a direct and significant impact on their perceived ease of use and perceived usefulness of AI. In other words, when teachers possessed a higher level of TPACK competency in utilizing AI in mathematics classes, they found it easier to incorporate AI technology and recognized it as a valuable tool to enhance students' mathematics learning experience. In addition, perceived ease of use and perceived usefulness directly influenced the attitudes of elementary school teachers towards the integration of AI in mathematics education. When teachers perceived AI as easy to use in their mathematics lessons, they were more likely to recognize its usefulness and develop a positive attitude towards its application in the classroom. Perceived ease of use, perceived usefulness, and attitude towards AI integration in mathematics classes had a direct impact on the intentions of elementary school teachers to use AI in their mathematics instruction. As teachers perceived AI as easy to use, valuable, and developed a positive attitude towards its incorporation, their intention to utilize AI in mathematics education increased. In conclusion, this study shed light on the factors influencing elementary school teachers' intentions to use AI in mathematics classes. It revealed that teachers' TPACK plays a crucial role in facilitating the integration of AI in mathematics education. Additionally, the study emphasized the significance of enhancing teachers' awareness of the advantages and convenience of using AI in mathematics instruction to foster positive attitudes and intentions towards its implementation. By understanding these factors, educational stakeholders can develop strategies to effectively promote the utilization of AI in mathematics education, ultimately enhancing students' learning outcomes.

• Journal of Service Research and Studies
• /
• v.13 no.4
• /
• pp.206-223
• /
• 2023

The introduction of Smart technologies such as Artificial Intelligence(AI) systems are have a powerful impact in a variety of industry fields. Some experts predict that smart technology will completely change people's daily life and work styles, causing technological innovation, productivity improvement, and discovery and emergence of new fields. On the one hand, this vision cannot ignore negative views and concerns. Despite many social debates about employment, such as job loss and rising unemployment, there have not been many studies based on employee experience that provide a fundamental solution to the conflict between AI and employment. Therefore, this study finds out the effects and related factors of AI concierge robots for hotel employees, focusing on the hotel industry, and how employees' perceptions of AI concierge robots affect user resistance and turnover intention. This study, conducted a questionnaire survey of 322 hotel employees who had experience working with AI concierge robots in China, and used SPSS and SmartPLS statistical analysis programs to draw conclusions. We found that hotel employees' perceptions of AI concierge robots were significantly related to user resistance and turnover intention, and this association was related to employee self-efficacy, perceived organizational support, quality of AI services and new tasks. In addition, it was found that the quality of AI concierge robots directly or indirectly had the greatest influence on user resistance and turnover intention. The findings of this study provide theoretical implications for academia and practical implications for industry practitioners.

• Journal of Korea Game Society
• /
• v.21 no.3
• /
• pp.79-90
• /
• 2021

Currently, for teenagers, the metaverse is becoming an important space for communication and experience. Due to the development of AI technology, experiences in the metaverse space are diversifying, which means that experiences in the virtual world can affect the real self. Therefore, this study attempted to examine the necessity of establishing a new concept of empathy across the metaverse for the AI era. In accordance with literature studies related to empathy, one was confirmed that the concept of empathy has been changing according to social ideas in times. In addition, with the result of the analysis of recent research trends, it was considered that the current study of empathy is generally taking a view as a measure of 'upright sociality.' In the end, this study suggest the necessity of redefined empathy in order to cultivate upright sociality in the metaverse.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.47 no.4
• /
• pp.666-683
• /
• 2023

This research aims to develop based clothing design process tailored to the industry-university collaborative setting and apply it in a fashion design class. into three distinct phases: designing and organizing our fashion design class, conducting our class at a university, and gathering student feedback. First, we conducted a literature review on employing new technologies in traditional clothing design processes. We consulted with industry professionals from the Samsung C&T Fashion Group to develop an AI-based clothing design process. We then developed in-class learning activities that leveraged fashion brand product databases, a supervised learning AI model, and operating an AI-based Creativity Support Tool (CST). Next, we setup an industry-university fashion design class at a university in South Korea. Finally, we obtained feedback from undergraduate students who participated in the class. The survey results showed a satisfaction level of 4.7 out of 5. The evaluations confirmed that the instructional methods, communication, faculty, and student interactions within the class were both adequate and appropriate. These research findings highlighted that our AI-based clothing design process applied within the fashion design class led to valuable data-driven convergent thinking and technical experience beyond that of traditional clothing design processes.

• Korean Journal of Artificial Intelligence
• /
• v.12 no.1
• /
• pp.7-16
• /
• 2024

This study aims to explore driving factors of Artificial Intelligence application for city marketing strategy with perspectives of millennials and generation Z. This study proposed the following research questions: i) how perceived place branding factor, public service factor, affective factor, immersive experience factor, cognitive factor, cost benefit factor, social networking factor, and promotional value factor affect attitude toward AI application for city marketing; and ii) how attitude affect satisfaction and prospect toward AI application for city marketing? This study conducted an online survey with the assistance of a well-known research agency and applied factor and regression analysis to test hypotheses. The results found that effects of place branding, cognitive, social networking, and promotional value affect attitude significantly in the case of millennials, while effects of public service, affective, cost benefit, social networking, and promotional value affect attitude significantly in the case of generation Z. The results found that effects of attitude on satisfaction and prospect of AI showed significance. The results provide implications and different aspects for AI application of city marketing strategy with perspectives by generations, while millennials and generation Z perceived effects of promotional value as the most significant factor for AI application of city marketing strategy.

• Journal of the Korea Convergence Society
• /
• v.9 no.8
• /
• pp.127-133
• /
• 2018

The purpose of this study is to analyze the technology trend of artificial intelligent speaker(AI speaker) and to suggest direction of domestic AI speaker through the case study of AI speaker. As a research method, technical background was studied through literature, and then, case of AI speaker was investigated. As a result, It attempts to extend it to the visual interface. One of these attempts is attention to the built-in screen AI speaker. AI speakers should be a platform for humans and computers to interact with, not just convenience facilities. Based on the implications presented in this study, we hope to be able to use it as a reference for predicting the service development direction of domestic artificial intelligent speakers in the future.