한국산 복숭아거위벌레속(딱정벌레목: 바구미상과: 주둥이거위벌레과)의 분류학적 재검토를수행한 결과 애복숭아거위벌레(Rhynchites (Rhynchites) fulgidus Faldermann, 1835)를 국내 처음으로 확인하였다. 본 연구에서는 한국산 복숭아거위벌레속 2종(애복숭아거위벌레, 복숭아 거위벌레)의 형태학적 재기재를 제공한다. 또한, 한국산 복숭아거위벌레속 종들의 분류학사에 대한 고찰과 2종에 대한 분류 검색표를 제시한다.

Micro display technology has become a key element of digital innovation, gaining attention with immersive technologies like AR/VR, and advancing in fields such as education, military, and healthcare. This study aims to analyze micro display technology trends, which are increasingly important across industries, and to provide insights that help companies develop strategies for related technologies. Using the patent database, BERTopic, a recent topic modeling technique, was applied to identify key themes in micro display technology development. Time-series analysis was also conducted to examine changes in research trends over time. These findings are expected to guide companies and research institutions in setting future technology development directions and strategies.

With the increasing integration of generative Artificial Intelligence (AI) in education, there is a growing demand for accessible AI-powered platforms for teachers and students. This study examines the efficacy of an online question-making platform using GPT-3.5 generated content to develop Korean students’ question-asking skills in English. Employing a mixed-methods approach, we assessed the platform’s impact on students’ question making abilities and its feasibility in classroom settings. Participants included thirty students from a 4th grade elementary school English classroom in Korea and seven elementary school teachers. Quantitative data were collected through pre- and post-tests measuring students’ question-making skills, while qualitative insights were gathered from semi-structured teacher interviews. Results indicated that the application was able to significantly improve students’ question-making abilities. Thematic analysis of interviews indicated positive perceptions of the platform’s usability and p otential f or l anguage learning. Findings m ay contribute to the growing body of research on using artificial intelligence in L2 education and offer practical insights for educators seeking to leverage advance language models in their instructions.

This study investigates the preferences and purchase intentions of ZEPETO users regarding fashion brands that have recently joined ZEPETO, a leading metaverse platform in South Korea. The study surveyed 279 users in their 20s to 40s about their usage patterns, preferences, and purchase intentions toward products from brands like MCM, DKNY, Nike, and Puma. The results reveal that users in their 20s exhibited higher preference and purchase intention for Nike products, as well as greater purchase intention for Puma products. On the other hand, users in their 40s displayed a higher preference and purchase intention for MCM and DKNY products and a stronger preference for Puma products compared to other age groups. Users in their 30s showed a lower preference and purchase intention for both MCM and Puma products, a lower purchase intention for DKNY products, but a preference for Nike products compared to other age groups. Furthermore, men showed a higher preference and purchase intention for most brands, including MCM, Nike, and Puma. These results suggest that fashion brands on ZEPETO need to implement effective marketing strategies targeting users in their 20s and 40s, as well as male users. This study lays the groundwork for further research on the ZEPETO metaverse platform and provides foundational data for understanding user behavior, essential for establishing effective promotional strategies.