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잠재집단분석을 활용한 대학생의 디지털 리터러시 유형 분류 및 특성 분석
강은하 ( Eunha Kang ) 한국교육정보미디어학회 2023 교육정보미디어연구 Vol.29 No.4
This study aims to classify types of digital literacy among university students from a comprehensive perspective and analyze the characteristics of each type. To achieve this goal, the researcher utilized Latent Profile Analysis and analyzed the answers of 502 university students in the ‘Korean Media Panel Survey’ conducted by the Korea Information Society Development Institute(KISDI) in 2021. This study considers the technical dimensions of digital literacy and the cognitive and socio-cultural dimensions, which have gained increasing significance due to societal changes. Furthermore, this study considered the following variables as sub-factors of digital literacy: PC utilization, smart device utilization, critical information assessment, privacy awareness, and engagement in social media. As a result, university students were classified into four profiles with different levels of digital literacy sub-factors. Considering the characteristics of these groups, they were labeled as the ‘High-Level Digital Literacy Group,’ ‘Mechanical Digital Literacy Group,’ ‘Proactive Digital Literacy Group,’ and ‘Low-Level Digital Literacy Group.’ In addition, this study found differences in grade, major, and regional characteristics according to digital literacy profiles. This study suggests that a customized program that considers each profile’s level of digital literacy sub-factors and learner characteristics is necessary to improve undergraduate students’ digital literacy. Additionally, the researcher outlined the study’s limitations and discussed suggestions for future research.
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GIS 자료와 CFD 모델을 이용한 수원시 지표 바람 특성 연구
강건 ( Geon Kang ),김민지 ( Min-ji Kim ),강정은 ( Jung-eun Kang ),양민준 ( Minjune Yang ),최석환 ( Seok-hwan Choi ),강은하 ( Eunha Kang ),김재진 ( Jae-jin Kim ) 대한원격탐사학회 2021 대한원격탐사학회지 Vol.37 No.6
This study investigated wind corridors for the entire Suwon-city area using a geographic information system and a computational fluid dynamics model. We conducted numerical simulations for 16 inflow wind directions using the average wind speeds measured at the Suwon automated synoptic observation system (ASOS) for recent ten years. We analyzed the westerly (dominant wind direction) and easterly cases (not dominant but strong wind speed) in detail and investigated the characteristics of a wind speed distribution averaged using the frequencies of 16 wind directions as weighting factors. The characteristics of the wind corridors in Suwon city can be summarized as; (1) In the northern part of Suwon, complicated flows were formed by the high mountainous terrain, and strong (weak) winds and updrafts (downdrafts) were simulated on the windward (leeward) mountain slope. (2) On the leeward mountain slope, a wind corridor was formed along a valley, and relatively strong airflow flowed into the residential area. (3) The strong winds were simulated in a wide and flat area in the west and south part of Suwon city. (4) Due to the friction and flow blocking by buildings, wind speeds decreased, and airflows became complicated in the downtown area. (5) Wind corridors in residential areas were formed along wide roads and areas with few obstacles, such as rivers, lakes, and reservoirs.
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GIS 자료와 지상측정 기상 · 미세먼지 자료에 기반한 수원시 지역의 도시대기환경 특성 연구
왕장운 ( Jang-woon Wang ),한상철 ( Sang-cheol Han ),문다솜 ( Da-som Mun ),양민준 ( Minjune Yang ),최석환 ( Seok-hwan Choi ),강은하 ( Eunha Kang ),김재진 ( Jae-jin Kim ) 대한원격탐사학회 2021 대한원격탐사학회지 Vol.37 No.6
We analyzed the monthly and annual trends of the meteorological factors (wind speeds and directions and air temperatures) measured at an automated synoptic observation system (ASOS) and fine particle (PM<sub>10</sub> and PM<sub>2.5</sub>) concentrations measured at the air quality monitoring systems (AQMSs) in Suwon. In addition, we investigated how the fine particle concentrations were related to the meteorological factors as well as urban morphological parameters (fractions of building volume and road area). We calculated the total volume of buildings and the total area of the roads in the area of 2 km × 2 km centered at each AQMS using the geographic information system and environmental geographic information system. The analysis of the meteorological factors showed that the dominant wind directions at the ASOS were westerly and northwesterly and that the average wind speed was strong in Spring. The measured fine particle concentrations were low in Summer and early Autumn (July to September) and high in Spring and Winter. In 2020, the annual mean fine particle concentration was lowest at most AQMSs. The fine particle concentrations were negatively and weakly correlated with the measured wind speeds and air temperatures (the correlation between PM<sub>2.5</sub> concentrations and air temperatures was relatively strong). In Suwon city, at least for 6 AQMSs except for the RAQMS 131116 and AQMS 131118, the PM<sub>10</sub> concentrations were affected mainly by the transport from outside rather than primary emission from mobile sources or wind speed decrease caused by buildings and, in the case of PM<sub>2.5</sub>, vise versa.
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