• Journal of KIISE:Software and Applications
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• v.34 no.1
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• pp.40-51
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• 2007

To improve academic achievement, the most students not only participate in regular classes but also take various extra programs such as private lessons, private institutes, and educational TV programs. In this paper, we propose a data mining approach to identify which studying methods or usual life patterns during a school vacation affect changes in the academic achievement. First, we derive various studying methods and life patterns that are thought to be affecting changes in the academic achievement during a school vacation. Second, we propose the method of transforming and analyzing data to apply them to decision trees and association rules, which are representative data mining techniques. Third, we construct decision trees and find association rules from the real survey data of middle school students. We have discovered four representative results from the decision trees. First, for students in the higher rank, there is a tendency that private institutes give a positive effect on the academic achievement. Second, for the most students, the Internet teaming sites nay give a negative effect on the achievement. Third, private lessons that have thought to be making a large impact to the achievement, however, do not make a positive effect on the achievement. Fourth, taking several studying methods in parallel nay give a negative effect on the achievement. In association rules, however, we cannot find any meaningful relationships between academic achievement and usual life patterns during a school vacation. We believe that our approach will be very helpful for teachers and parents to give a good direction both in preparing a studying plan and in selecting studying methods during a school vacation.

• Journal of The Korean Association For Science Education
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• v.33 no.6
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• pp.1154-1169
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• 2013

The present work was performed to find behavioral characteristics of elementary school students corresponding to the motivation system on science learning (SL-BIS/BAS; Behavioral Inhibition/Activation System about Science Learning) in the observation situation. Eye-tracking was used for this study, which is one of the neurophysiological methods. The findings of present study were as follows: First, students who have sensitive motivation system to SL-BIS (SL-BIS group) showed meaningfully shorter fixation duration the whole time during an observation task than students who have sensitive motivation system to SL-BAS (SL-BAS group) (p<.05). Total fixation counts of SL-BIS group were significantly larger than SL-BAS group and it indicates that SL-BIS group often generated new fixations. Therefore, fixation duration per count of SL-BAS group was longer than that of SLBIS group. Second, we studied fixations in situations with movement corresponding to the motivation system on science learning. SL-BIS group and SL-BAS group exhibited similar fixation duration in the study task segment with movement, which is one of the stimulus attracting students. However, for the study task segment when the movement was finished, total fixation duration and fixation duration per count of SL-BAS group were meaningfully longer than those of SL-BIS group. Third, comparing fixation targets classified by factors of study task, SL-BIS group showed fixation on the target that is not important for the study task. But SL-BAS group concentrated on the target-related factor of the study task. The present work could be helpful in understanding students' characteristics corresponding to the motivation system on science learning in observation situation and for making a learning & teaching plan that is suitable to the feature of students.

• Journal of The Korean Association For Science Education
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• v.39 no.2
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• pp.295-305
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• 2019

In previous study, visual representation competence taxonomy (VRC-T), which is composed of two dimensions, was developed for the purpose of promoting effective visual representation use and research in science education. In this study, elementary school students' visual representation competence for shadow phenomenon was investigated using VRC-T. In terms of visual representation competence, 'interpretation' was the highest score, followed by 'construction' and 'integration'. It also showed that students' visual representation competence was not high even after learning shadow-related units in the regular curriculum. On the other hand, text-based scientific knowledge was not correlated with all categories of visual representation competence. This indicates that there is a need to emphasize visual representation more in science class. Finally, hierarchical relationship among cognitive processes of VRC-T was explored according to ordering theory. If the tolerance level is somewhat loosened, a linear hierarchical relationship was found between the six cognitive processes. This suggests that VRC-T is an analytical framework that can be useful when designing assessment tools, tasks, and science class activities to enhance visual representation competence.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.3
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• pp.74-99
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• 2022

Surface ozone is produced by photochemical reactions of nitrogen oxides(NOx) and volatile organic compounds(VOCs) emitted from vehicles and industrial sites, adversely affecting vegetation and the human body. In South Korea, ozone is monitored in real-time at stations(i.e., point measurements), but it is difficult to monitor and analyze its continuous spatial distribution. In this study, surface ozone concentrations were interpolated to have a spatial resolution of 1.5km every hour using the stacking ensemble technique, followed by a 5-fold cross-validation. Base models for the stacking ensemble were cokriging, multi-linear regression(MLR), random forest(RF), and support vector regression(SVR), while MLR was used as the meta model, having all base model results as additional input variables. The results showed that the stacking ensemble model yielded the better performance than the individual base models, resulting in an averaged R of 0.76 and RMSE of 0.0065ppm during the study period of 2020. The surface ozone concentration distribution generated by the stacking ensemble model had a wider range with a spatial pattern similar with terrain and urbanization variables, compared to those by the base models. Not only should the proposed model be capable of producing the hourly spatial distribution of ozone, but it should also be highly applicable for calculating the daily maximum 8-hour ozone concentrations.

• Journal of The Korean Association For Science Education
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• v.44 no.2
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• pp.167-178
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• 2024

In this study, we investigated the perceptions of science-related careers and career education among middle school science teachers. Sixty-four science teachers experienced in teaching unit 7 in the first year of middle school participated. The results of the study revealed that not only careers in science but also careers with science were found to be quite high when teachers were asked to provide examples of science-related careers. Jobs related to research/engineering, which are careers in science, comprised the highest proportion of teachers' answers, followed by jobs related to education/law/social welfare/police/firefighting/military, and health/medical, which are careers with science. However, the proportion of jobs mentioned related to installation/maintenance/production was extremely low. The skills required for science-related careers were mainly perceived to consist of tools for working and ways of working. The number of skills classified under living in the world was perceived to be extremely low across most careers, irrespective of career type. Most teachers only taught unit 7 for two to four sessions and devoted little time to science-related career education, even in general science classes. In the free semester system, a significant number of teachers responded that they provide science-related career education for more than 8 hours. Teachers mainly utilize lecture, discussion/debate, and self-study activities. Meanwhile, in the free semester system, the resource-based learning method was utilized at a high proportion compared to other class situations. Teachers generally made much use of media materials, with the use of textbooks and teacher guides found to be lower than expected. There were also cases of using materials supported by science museums or the Ministry of Education. Teachers preferred to implementing student-centered classes and utilizing various teaching and learning methods. Based on the above research results, discussions were proposed to improve teachers' perceptions of science-related careers and career education.

• Journal of the Korean Professional Engineers Association
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• v.37 no.2
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• pp.34-36
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• 2004

우리나라의 과학기술은 지난 40여년간 국가 산업발전에 발맞춰 고도성장을 효과적으로 뒷받침, '60-'70년대 모방$.$학습단계 '80년도 내재화단계를 거쳐 '90년대이후 신기술 개발경쟁에 뛰어드는 혁신단계로 진입, 장기간의 과감한 투자로 과학기술역량이 급신장, 연구개발비 '67년 48억\$\longrightarrow$'02년 17조 3,251억원(세계 6위), 연구원수 '68년 5,024명 \$\longrightarrow$'02년 18만 9,888명(세계 9위), 미국내 특허출원 10년간 평균증가율 32%(OECD 국가중 1위) SCI 논문게재수 5년간 평균증가율 15%(세계4위), 그러나 선진국과 비교할 때 양적$.$질적으로 미흡, '02년을 기준으로, 연구개발투자는 미국의 1/20, 일본의 1/10, 독일의 1/3수준에 불과, '01년 기준 상위 20개 기업의 연구개발비 총액은 50억불 정도로, Ford(74억불), GM(62억불)보다 적음, 인구 천명당 연구원 수 (2,98명)도 주요국에 비해 부족 일본 7.07명, 러시아 6.98명, 독일 5.90명, 대만 4.77('01년, IMD), 특히 신성장산업의 창출과 산업의 고도화에 직결되는 핵심원천기술이 취약, SCI 게재논문수는 세계 14위이나, 논문의 질적 수준을 나타내는 피인용도는 세계 31위('02년), 10대 성장동력 10대 산업과 관련되는 핵심기술의 평균 기술수준은 최고 대비 69.8%, 기술격차는 4.2년 - 디지털 TV/방송산업 74.9%/기술격차 3.1년, - 바이오 신약/장기 산업 61.2% 수준, 과학기술 및 과학기술자에 대한 사회적 인식이 낮음, 이공계 출신의 사회 각 분야 지도층 진출비율이 매우 낮음(16대 국회의원 8%, 3급이상 국가공무원중 기술직 비율 17.1% 등), - 민간의 경우, 10대 기업 임원의 53%가 이공계 출신, 100대 기업 CEO의 38.4%가 이공계 출신, 대입수능시험에서 자연계 지원비율이 감소 -40.1%('99)\$\longrightarrow$34.7%('00)\$\longrightarrow$29.4%('01)\$\longrightarrow$26.9%('02)\$\longrightarrow$30.3%('03)\$\longrightarrow$31.5%\$\longrightarrow$'04)

• Journal of Korean Elementary Science Education
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• v.38 no.2
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• pp.173-190
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• 2019

The self-efficacy of pre-service teachers has been reported as a major factor in the instruction of the curriculum. In particular, considering the importance of science learning instruction for underrepresented students from the viewpoint of science education for all, pre-service elementary teachers' self-efficacy about science instruction for underrepresented students will be an important factor of science education for these students. The purpose of this study is to investigate the self-efficacy of pre-service elementary teachers in science instruction for underrepresented students. To this end, the science teaching and learning self-efficacy test tool (Lee & Im, 2010) was revised in accordance with the context of science teaching for underrepresented students into a total of 24 items using 5 Likert scales. Through using the test tool consists of 3 dimensions as Learning Efficacy, Teaching Efficacy and Outcome Expectancy, 81 pre-service elementary teachers were surveyed and the reliability of test tool was verified through factor analysis and assessing construct validity by using the responses. As a result of the analysis, setting 5 as the standard perfect score, the average score of self-efficacy per dimension was shown as 3.29 in Learning Efficacy, 2.89 in Teaching Efficacy, and 3.39 in Outcome Expectancy. We confirmed the tendency and difference of self-efficacy of the research objects according to their background factors in which direct and indirect experience relating to the science education for the underrepresented students. Also, we verified that pre-service elementary teachers' interest in science subject matter, teaching science and their perception of the value of science learning had significant relations with self-efficacy on science teaching for underrepresented students.

• Journal of the Korean earth science society
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• v.32 no.2
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• pp.212-224
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• 2011

In school science class, actual geological field trips tend to be restricted due to a number of problems including travel distance, cost, safety, and so on. Therefore, alternative way should be sought to provide students with the benefits of actual field trip. The purpose of this study is to develop web-based virtual field trip (VFT) about Jeju island in Korea by using flash panorama, and to explore a variety of ways to utilize the VFT. The characteristics of Jeju VFT are as follows: it provides virtual space for secondary school students to learn about volcanic topography and geology; students can access contents in a non-sequential order by virtue of web-based system, and students can control learning pace according to their ability; it is possible to investigate the same field site repeatedly, not limited by time and space; it presents differentiated worksheets for different school grade; it provides diverse complementary web contents, e. g., closeup features, thin sections, inquiry questions, and explanations of outcrops. We proposed several ways with instructional models to utilize Jeju VFT in science class and extra-school curricular as well.

• Korean Journal of Remote Sensing
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• v.37 no.5_3
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• pp.1405-1423
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• 2021

Precipitation is one of the main factors that affect water and energy cycles, and its estimation plays a very important role in securing water resources and timely responding to water disasters. Satellite-based quantitative precipitation estimation (QPE) has the advantage of covering large areas at high spatiotemporal resolution. In this study, machine learning-based rainfall intensity models were developed using Himawari-8 Advanced Himawari Imager (AHI) water vapor channel (6.7 ㎛), infrared channel (10.8 ㎛), and weather radar Column Max (CMAX) composite data based on random forest (RF). The target variables were weather radar reflectivity (dBZ) and rainfall intensity (mm/hr) converted by the Z-R relationship. The results showed that the model which learned CMAX reflectivity produced the Critical Success Index (CSI) of 0.34 and the Mean-Absolute-Error (MAE) of 4.82 mm/hr. When compared to the GeoKompsat-2 and Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks (PERSIANN)-Cloud Classification System (CCS) rainfall intensity products, the accuracies improved by 21.73% and 10.81% for CSI, and 31.33% and 23.49% for MAE, respectively. The spatial distribution of the estimated rainfall intensity was much more similar to the radar data than the existing products.

• Journal of The Korean Association For Science Education
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• v.30 no.2
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• pp.261-274
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• 2010

In this study, we investigated the influences of teaching practices upon preservice elementary school teachers' self-images of science teaching. Twenty-six juniors were selected from the departments of science education in a national university of education. The Draw-A-Science-Teacher-Test Checklist (DASTT-C) was administered before and after teaching practices. Five juniors were also interviewed in depth, and some of their science classes during teaching practices were observed, in order to investigate the factors influencing the formations of their self-images of science teaching. Analyses of the results revealed that their self-images of science teaching changed from near 'studentcentered' to near 'teacher-centered'. Many juniors responded that the main factors affecting the formations of their images of science teaching before teaching practices were teaching-learning experiences in elementary and secondary schools, and/or universities. After teaching practices, however, many juniors responded teaching-learning experiences during teaching practices. The factors were classified into three types, which are the influences of the experiences in teaching elementary school students in science classes, the influences of other preservice elementary school teachers, and the influences of guidance teachers. Educational implications of these findings are discussed.