• The Mathematical Education
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• v.62 no.2
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• pp.289-302
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• 2023

In today's digital information society, student knowledge and skills to analyze big data and make informed decisions have become an important goal of school mathematics. Integrating big data statistical projects with digital technologies in high school <Artificial Intelligence> mathematics courses has the potential to provide students with a learning experience of high impact that can develop these essential skills. This paper proposes a set of guidelines for designing effective big data statistical project-based tasks and evaluates the tasks in the artificial intelligence mathematics textbook against these criteria. The proposed guidelines recommend that projects should: (1) align knowledge and skills with the national school mathematics curriculum; (2) use preprocessed massive datasets; (3) employ data scientists' problem-solving methods; (4) encourage decision-making; (5) leverage technological tools; and (6) promote collaborative learning. The findings indicate that few textbooks fully align with these guidelines, with most failing to incorporate elements corresponding to Guideline 2 in their project tasks. In addition, most tasks in the textbooks overlook or omit data preprocessing, either by using smaller datasets or by using big data without any form of preprocessing. This can potentially result in misconceptions among students regarding the nature of big data. Furthermore, this paper discusses the relevant mathematical knowledge and skills necessary for artificial intelligence, as well as the potential benefits and pedagogical considerations associated with integrating technology into big data tasks. This research sheds light on teaching mathematical concepts with machine learning algorithms and the effective use of technology tools in big data education.

• Analyses & Alternatives
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• v.7 no.2
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• pp.179-207
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• 2023

Carbon neutrality, the international community's practical challenge in response to climate change, is becoming a key industrial strategy for the future development of nations. Despite concerns that China, as an economic powerhouse in the G2, may face challenges leading global climate change efforts due to its high-carbon-emitting industrial structure, it is leveraging carbon neutrality to enhance its industrial competitiveness. The Chinese government has formulated national policies for achieving carbon neutrality and detailed sector-specific plans to implement them. In particular, it aims to leverage carbon neutrality industrial strategies as a lever for adjusting the domestic industrial structure and fostering new industries, at the same time responding to international climate norms and external pressures. However, the effectiveness of carbon-neutral industrial strategies is expected to vary based on regional conditions such as economic and industrial levels. This article analyzes the regional conditions for implementing carbon neutrality in China, as well as the contents and characteristics of major industrial policies. Due to differing levels of economic development and industrial structures, significant variations in carbon emissions, size, emission sources, and efficiency are inevitable across regions. These disparities introduce diverse initial conditions and endogenous factors in pursuing carbon-neutral goals, limiting the direction and implementation of carbon-neutral industrial strategies favoring certain regions. In particular, the extent of policy autonomy granted to local governments regarding carbon neutrality implementation will influence the regional dynamics of central-local environmental governance. Consequently, it is crucial to emphasize regional monitoring alongside comprehensive national research to accurately navigate the path towards carbon neutrality in China. In summary, the article underscores the importance of understanding regional variations in economic development, industrial structure, and policy autonomy for successful carbon neutrality implementation in China. It highlights the need for regional monitoring and comprehensive national research to determine a more precise direction for achieving carbon neutrality.

• Korean Journal of Legislative Studies
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• v.26 no.3
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• pp.5-35
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• 2020

This article purposes to investigate opening process of the 21st National Assembly in the middle of severe conflicts between two major-parties, and predict the changes it will bring to the operation of the National Assembly. With incumbent party's taking all leadership positions of standing committees, it broke the practice since 13th National Assembly, that is, distribution of the standing committees based on the seat-ratio. It means that our National Assembly has entered a new phase in the decision-making process. While the incumbent party, with overwhelming victory in general election, emphasizes that it should dominate legislative process to support the government, the out-party claims that they should take leverage to check over government. Two opposing trends are characteristically observed in the operation of the Korean National Assembly. First of all, due to the experience under authoritarian regimes, the National Assembly has been institutionalizing decision-making processes in the direction of enforcing cooperation between parties. On the other hand, the polarization in political parties has been stronger, making it difficult to reach consensus between parties. This article claims strongly that the 21st National Assembly need to find a balance amid such two-conflicting trends. To do so, three necessary conditions are proposed: observing decision-making procedures, securing diversity within party and National Assembly, and deliberative legislative activities.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.5
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• pp.105-115
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• 2022

This study aims to investigate the Effect of Money Rush on Entrepreneurial Opportunity Recognition for college students in Busan and Gyeongnam area. We also examine whether Entrepreneurship has a mediating effect between Money Rush and Entrepreneurial Opportunity Recognition. Since the outbreak of COVID-19, digital transformation of the industry have greatly changed the world of work, and job insecurity is becoming more prevalent. As income inequality expands due to the disparity in asset income, the Money Rush phenomenon, which prefers to increase asset income through investment rather than earned income, is becoming common. Money Rush secures an income pipeline and is divided into side hustles and investments that actively utilize Leverage to maximize profits. The findings of this study confirm that Money Rush has a positive effect on Entrepreneurial Opportunity Recognition and a partially positive effect on Entrepreneurship. Entrepreneurship has a partial mediating effect between Money Rush and Entrepreneurial Opportunity Recognition. The study analysis is expected to contribute to strengthening college students' competencies in Entrepreneurial Opportunity Recognition and presenting the policy and practical directions necessary to promote Start-up.

• The Transactions of the Korea Information Processing Society
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• v.13 no.2
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• pp.41-47
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• 2024

When there were disparities in performance between models trained in the time and frequency domains, even after conducting an ensemble, we observed that the performance of the ensemble was compromised due to imbalances in the individual model performances. Therefore, this paper proposes a leakage detection technique to enhance the accuracy of pipeline leakage detection through a step-wise learning approach that extracts features from both the time and frequency domains and integrates them. This method involves a two-step learning process. In the Stage 1, independent model training is conducted in the time and frequency domains to effectively extract crucial features from the provided data in each domain. In Stage 2, the pre-trained models were utilized by removing their respective classifiers. Subsequently, the features from both domains were fused, and a new classifier was added for retraining. The proposed transfer learning-based feature fusion technique in this paper performs model training by integrating features extracted from the time and frequency domains. This integration exploits the complementary nature of features from both domains, allowing the model to leverage diverse information. As a result, it achieved a high accuracy of 99.88%, demonstrating outstanding performance in pipeline leakage detection.

• Journal of Korean Library and Information Science Society
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• v.54 no.4
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• pp.359-392
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• 2023

Digital citizenship includes an evolving set of knowledge and skills related to effectively and ethically using technology, especially when interacting with other people, information, and media in the online context. As public libraries have long provided access to and training with a variety of technologies, this study explores how digital citizenship has been covered in public library programming to identify potential trends and best practices. A purposive sampling of public library recipients of the American Library Association (ALA) and Information Today Inc.'s Library of the Future Award over the past 11 years (2013-2023) identified 7 case libraries to review. The titles and descriptions of 337 relevant library programs for audiences of school-aged children (5 years old and up) to seniors were collected for a 2-month period from each library's website and analyzed using Ribble & Parks (2019) 9 elements of digital citizenship. The findings suggest that programming related to digital citizenship most often addresses themes connected to digital access and digital fluency through coverage of topics related to computer and technology use. Based on themes and examples from the findings, public libraries are encouraged to expand upon existing programs to integrate all elements of digital citizenship, strive for inclusive and accessible digital citizenship education for all ages, and leverage resources and expertise from relevant stakeholders and community partnerships.

• Journal of the Korea Institute of Building Construction
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• v.24 no.3
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• pp.381-391
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• 2024

This study examined the factors influencing safety scores in air conditioning installation projects, with a specific focus on the characteristics of safety managers and project-specific details. Given the increase in industrial accidents within this sector and the lack of research on smaller-scale operations, this analysis of 7,046 safety data records from Company A aimed to address this gap. The results indicate that the month of project commencement has the most significant impact on safety scores(correlation coefficient of 0.21), followed by the age of the safety manager(correlation coefficient of 0.06). Interestingly, the educational background of the managers did not appear to influence safety outcomes. Furthermore, project cost was found to have a negative correlation with safety scores(-0.1), suggesting that lower-cost projects may be associated with higher risk levels. These findings underscore the importance of developing tailored safety checklists that take into account the specific timing and scale of air conditioning installation projects. Additionally, the results suggest that incorporating both experienced(older) and less experienced(younger) safety managers into safety strategies may be beneficial for achieving optimal safety outcomes. This balanced approach could leverage the strengths of both groups, potentially enhancing overall risk assessment and mitigation efforts.

• Journal of Internet Computing and Services
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• v.25 no.3
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• pp.43-54
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• 2024

This study employs text mining techniques to compare user responses across various Over-The-Top (OTT) service platforms. The primary objective of the research is to understand user satisfaction with OTT service platforms and contribute to the formulation of more effective review strategies. The key questions addressed in this study involve identifying prominent topics and keywords in user reviews of different OTT services and comprehending platform-specific user reactions. TF-IDF is utilized to extract significant words from positive and negative reviews, while BERTopic, an advanced topic modeling technique, is employed for a more nuanced and comprehensive analysis of intricate user reviews. The results from TF-IDF analysis reveal that positive app reviews exhibit a high frequency of content-related words, whereas negative reviews display a high frequency of words associated with potential issues during app usage. Through the utilization of BERTopic, we were able to extract keywords related to content diversity, app performance components, payment, and compatibility, by associating them with content attributes. This enabled us to verify that the distinguishing attributes of the platforms vary among themselves. The findings of this study offer significant insights into user behavior and preferences, which OTT service providers can leverage to improve user experience and satisfaction. We also anticipate that researchers exploring deep learning models will find our study results valuable for conducting analyses on user review text data.

• Journal of Venture Innovation
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• v.7 no.3
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• pp.123-139
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• 2024

In the rapidly expanding live-commerce market, one of the newer channels in e-commerce, consumer satisfaction appears to have plateaued. This study, therefore, aims to explore the impact of consumers' internal psychological states on the formation of service attitudes and offers practical solutions based on these findings. Whereas previous studies predominantly focused on external factors, this research examines the role of internal psychological states and perceived value in shaping consumer attitudes. Specifically, this study distinguishes between personal loneliness and social isolation, adding an altruistic dimension by incorporating interpersonal orientation, thereby setting it apart from earlier research. The focus of this study is on the psychological conditions of live-commerce consumers, investigating how factors such as loneliness, social isolation, and interpersonal orientation influence service attitudes, moderated by perceived economic value. The analysis reveals that both social isolation and interpersonal orientation significantly affect service attitudes, with social isolation exerting a stronger influence. However, no statistically significant relationship was found between loneliness and service attitude. Additionally, the effects of social isolation and interpersonal orientation on service attitudes were moderated by perceived economic value, which amplified their influence. These findings underscore the importance of incorporating consumer-centric psychological factors when developing strategies. A tailored approach that aligns with the unique characteristics of the live-commerce channel can help businesses provide customized services. This strategic approach is expected to support the development of effective operational strategies and practical solutions not only for live-commerce but also for future two-way communication channels that businesses and small enterprises may leverage.

• Therapeutic Science for Rehabilitation
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• v.13 no.3
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• pp.23-36
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• 2024

Objective : This study investigated the mediating effect of social networks on the relationship between social networking service (SNS) dependence and healthy lifestyle among university students. Methods : Data from 374 university students were collected via online surveys. Sociodemographic data, SNS dependence, social networks, and healthy lifestyle were assessed. Mediation analysis using bootstrapping was conducted to examine the mediating effect of social networks on the relationship between SNS dependence and healthy lifestyle. Results : A total of 374 university students participated in this study. The average age of the participants was 21.8 years (standard deviation = 2.1), and 70.3% were females. Mediation analysis revealed that SNS dependence had a direct effect on healthy lifestyle (β = -.078, standard error [SE] = .052, p = .128), which was not statistically significant. However, a statistically significant indirect effect was observed through social networks (β = -.052, SE = .020, p = .011). The total effect of SNS dependence on a healthy lifestyle was significant (β = -.130, SE = .053, p = .014). Conclusion : Social networks play a critical role in promoting a healthy lifestyle. Health professionals should prioritize interventions to address SNS dependence and leverage social networks to encourage healthier behaviors.