• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.565-574
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• 2024

ChatGPT is causing significant reverberations across all sectors of our society, and this holds true for the field of education as well. However, scholarly and societal discussions regarding ChatGPT in academic settings have primarily focused on issues such as plagiarism, with relatively limited research on the positive effects of utilizing generative AI. Additionally, amidst the educational crisis of the post-COVID era, there is a growing recognition of the need to enhance academic engagement. In light of these concerns, we investigated how academic engagement varies based on students' levels of ChatGPT literacy and examined whether students' academic confidence and perceived academic competence serve as mediators between ChatGPT literacy and academic engagement. An analysis using SPSS was conducted on the data collected from 406 college students. The results showed that ChatGPT literacy had a positive effect on academic engagement, and academic confidence mediated the relationship between ChatGPT literacy and academic engagement. Also, when the mediating effect of perceived academic competence was significant only when it was serially mediated. Based on these findings, we discussed the theoretical contributions of identifying the theoretical mechanism between ChatGPT literacy and academic engagement. In addition, practical implications regarding the importance of ChatGPT literacy education were described.

• The Mathematical Education
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• v.60 no.3
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• pp.321-340
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• 2021

As many changes in the future society represented by the age of artificial intelligence(AI) are expected to come, efforts are being made to draw the shape of the future education and various research methods are being employed to support the attempts. While many research studies use methods for deriving generalized results such as expert survey and trend analysis in along with a review of literature, there are attempts to apply the scenario methodology to explore ideas and information needed within a changing context. A scenario method, one of the experiential learning strategies, aims to seek various and alternative approaches by establishing a plan from the present conditions considering future changes. In this study, in-service teachers' perceptions and expectations of the interactivity between human and AI teachers were visualized by applying the role-play presentation technique that grafted the concept of role-play game to the scenario method. In addition, the mandal-art method was introduced to support in conducting productive discussion during the teachers' collaboration. This method appeared to help to depict teachers' perceptions of AI teachers in the detailed and concrete form, which may flow in the abstract otherwise. Through analyses of the teachers' role-play presentations with the implementation of the madal-art method it was suggested that most teachers would want to collaborate with an AI teacher for improved instruction and individualized student learning while they would take the instructional authority over the AI teacher in the classroom.

• Journal of Digital Convergence
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• v.16 no.1
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• pp.343-350
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• 2018

The purpose of this paper is to explore the characteristics of a digital culture, its negative effects, especially automatism of perception, a poetic strategy against automatism of perception and the utility of poetry including the therapeutic function of poetry. The new technologies offer us various experience, great opportunities and rosy future by freeing us from boring and laborious tasks, and difficult decisions. Through the excessive and habitual use of new technologies, we may become too dependent on machines, losing our thinking abilities, sensibility, perception and creativity. Therefore, we need poetry to recover the sensation of life and make us feel things. Reading poetry allows us to look into someone else's soul and cultivate the ability to empathize. As a healing fountain, poetry leads us to a way for a change of heart, a recovery of psychic health and universal love through perfect communion in ourselves and in society. Furthermore we need a systematic and in-depth study of digital poetry as well as traditional poetry.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.197-205
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• 2021

In this study, we would like to confirm the impact of emotional intelligence perceived by members of medical institutions on job satisfaction and the mediating effect of self-efficacy. To test the hypothesis of the study, a survey was conducted on members of medical institutions (excluding doctors) in Gyeonggi Province, and statistical analysis was conducted using SPSS 22.0. First of all, the research results showed a positive impact only on use of emotion among the sub-factors of emotional intelligence in the impact relationship between emotional intelligence perceived by members on self-efficacy. Second, in the impact relationship of emotional intelligence on job satisfaction, which is a sub-factor of emotional intelligence, self-emotion appraisal, others' emotion appraisal, regulation of emotion, and use of emotion all showed positive effects. Third, the effect of members' self-efficacy on job satisfaction was also positive, and fourth, the mediating effect of self-efficacy between emotional intelligence and job satisfaction was also confirmed. Therefore, programs to improve members' emotional intelligence and self-efficacy are introduced and institutional needs are required.

• Informatization Policy
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• v.21 no.1
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• pp.57-76
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• 2014

The purpose of this research is to investigate the role of social dimensions in predicting the intention to use SNS. We proposed an integrative SNS acceptance model based on the theory of planned behavior (TPB), the technology acceptance model (TAM), and the social influence theory. Included in the model are attitude toward SNS use, subjective norm, information cascades, and perceived behavioral control as antecedents to intention to use SNS. An empirical analysis was conducted using data collected from a questionnaire survey with 228 college students in Korea, and it yielded the following findings. First, the two social dimensions, namely subjective norm and information cascades, were found to have a significant positive relationship with the intention to use SNS. In particular, information cascade turned out to have the strongest impact of the three antecedents to intention to use SNS. Second, perceived usefulness and perceived ease of use were found to have a significant positive influence on the attitude toward SNS use.

• Journal of the Korea Society of Computer and Information
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• v.25 no.6
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• pp.25-33
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• 2020

In this paper, the purpose is to verify the impact of performance expectations, effort expectations, social impact, individual innovation and perceived value on the intent of use and the behavior of use. Used Unified Theory of Acceptance and Use of Technology (UTAUT) to verify the applicability of this model in China, and established the research model by adding two new variables to UTAUT according to the situation of the Chinese market. To achieve this goal, 345 questionnaires were collected for experienced music creators using artificial intelligence nuggets in China by means of Internet research. The collected data were analyzed through frequency analysis, factor analysis, reliability analysis, and structural equation analysis through SPSS V. 22.0 and AMOS V 22.0. The verification of the hypotheses presented in the research model identified the decisive influence factors on the use of artificial intelligence music acceptance by Chinese users. The study is innovative in that it attempts to verify the applicability of UTAUT in the Chinese context. In the construction of the user acceptance model of AI music, three influencing factors will have an effect on users' intentions, and according to the degree of effect, from largest to smallest, they are respectively Perceived Innovativeness, Performance Expectancy and Effort Expectancy. This paper will also provide some management advices, i.e. improving the utility and usability of AI music, encouraging users with individual innovativeness, developing competitive and attractive pricing policies, increasing publicity, and prioritizing word-of-mouth advertising.

• Informatization Policy
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• v.30 no.2
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• pp.22-45
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• 2023

In research on the use of AI-based voice assistant services, problems related to the user's trust and privacy protection arising from the experience of service use are constantly being raised. The purpose of this study was to investigate empirically the effects of individual trust in AI and online privacy concerns on the continued use of AI-based voice assistants, specifically the impact of their interaction. In this study, question items were constructed based on previous studies, with an online survey conducted among 405 respondents. The effect of the user's trust in AI and privacy concerns on the adoption and continuous use intention of AI-based voice assistant services was analyzed using the Heckman selection model. As the main findings of the study, first, AI-based voice assistant service usage behavior was positively influenced by factors that promote technology acceptance, such as perceived usefulness, perceived ease of use, and social influence. Second, trust in AI had no statistically significant effect on AI-based voice assistant service usage behavior but had a positive effect on continuous use intention. Third, the privacy concern level was confirmed to have the effect of suppressing continuous use intention through interaction with trust in AI. These research results suggest the need to strengthen user experience through user opinion collection and action to improve trust in technology and alleviate users' concerns about privacy as governance for realizing digital government. When introducing artificial intelligence-based policy services, it is necessary to disclose transparently the scope of application of artificial intelligence technology through a public deliberation process, and the development of a system that can track and evaluate privacy issues ex-post and an algorithm that considers privacy protection is required.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.193-204
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• 2021

Based on risk-benefit theory, this study examined a structural equation model accounting for the mechanisms through which affective perceptions of AI predicting individuals' support for the government's Ai policies. Four perceived characteristics of AI (i.e., usefulness, entertainment value, privacy concern, threat of human replacement) were investigated in relation to perceived benefits/risks, attitudes toward AI, and AI policy support, based on a nationwide sample of South Korea (N=352). The hypothesized model was well supported by the data: Perceived usefulness was a strong predictor of perceived benefit, which in turn predicted attitude and support. Perceived benefit and attitude played significant roles as mediators. Perceived entertainment value along with perceived usefulness and privacy concern predicted attitude, not perceived benefit. Neither attitude nor support was significantly associated with perceived risk which was predicted by privacy concern. Theoretical and practical implications of the results are discussed.

• The Journal of the Korea Contents Association
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• v.15 no.10
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• pp.400-412
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• 2015

This paper investigates the relationships among transformational leadership, organizational trust, and creativity in ICT(information & communication technology) company. Also the study investigates the moderator effect of leader's emotional intelligence and the mediator effect of organizational trust in the relationships between transformational leadership and creativity. The multiple regression analysis was employed to test the hypotheses. Using survey data collected from 241 R&D department and support personnel in ICT company. The main finding of this study was as follows: First, a transformational leadership had a positive effect on employee creativity. Second, organizational trust had a positive impact on employee creativity. Third, transformational leadership had a positive effect on organizational trust. Fourth, organizational trust turned out not to mediate the relationship between transformational leadership and employee creativity. Fifth, the positive relationships between transformational leadership and employee creativity were stronger when leader's emotional intelligence was high rather than low. In particular, this review concludes with implications for future research, limitations of this study, and practical application.

• The Journal of the Korea Contents Association
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• v.14 no.9
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• pp.450-462
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• 2014

The main purpose of this study was to explore the causal relationships among transactional leadership, coaches' emotional intelligence, and athlete satisfaction in soccer teams. High school, university, and semi-professional soccer players(N=495) in Korea participated in a survey. Transactional leadership inventory, emotional intelligence test, and athlete satisfaction questionnaire previously developed to investigate was performed to utilize. The data were analyzed by structural equation model of the AMOS 18.0. The results were as follows; transactional leadership have meaningful influence on emotional intelligence and athlete satisfaction, and emotional intelligence have significant influences on athlete satisfaction. The mediating effect of leader's emotional intelligence between transactional leadership and athlete satisfaction was confirmed. Findings of this study can enhance our understanding of the emotional leadership to increase athlete satisfaction in Soccer players.