Journal of The Korean Association For Science Education
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v.22
no.4
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pp.717-724
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2002
In this study. the effects of grouping by students' agreeableness in cooperative learning strategy applied to middle school science classes on their achievement. confidence, satisfaction, attitude toward science class, and cohesion of group members were investigated. One hundred and fifty-eight students were assigned to control group, homogeneous group and heterogeneous group, and taught about separation of mixture for 7 class hours. The results revealed that there was no significant difference in the achievement test scores. However, significant interaction between the instruction and the level of agreeableness were found in the satisfaction and the cohesion of group members. Students of higher agreeableness level in the homogeneous group were more satisfied with science class and cohesive. Students' attitude toward science class in the homogeneous group was also significantly higher than those in the other groups.
Journal of The Korean Association of Information Education
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v.17
no.2
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pp.199-209
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2013
The study is to review the effects of learning with a robot among regular courses of elementary and middle schools so that the research method of systematic review for papers from 2001 and 2013 was conducted. The database for review were KISS, DBpia, and E-article and it was searched with two options of 'robot & education' and 'learning with a robot'. Initially, 481 papers were searched; but finally 50 were selected after monitoring and extraction execution in line with protocol. Great volume of researches focused on academic skill such as a creativity, problem solving skills and as for research methods, Pretest-Posttest Control Group Design and t-test took the lion's share. As for educational effects, improvements of course interest, immersion, attitude, motivation, creativeness and problem solving skills were identified; but in some researches, insignificant research outcomes were reported. Based on analysis results, considerations for learning with a robot were suggested.
The Journal of Korean Association of Computer Education
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v.4
no.2
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pp.31-39
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2001
In this paper, we investigate the effects of group composition according to the personality type of learner on the content of discussion in web-based synchronous online discussion. The experiment for this study was conducted with high school students. First, we conducted the MBTI(Myers Briggs Type Indicator) test and based upon the result, we classified learners into 3 groups; introverts group, extroverts group, and introverts/extroverts mixed group. After the online discussion, the content of discussion were analyzed by the units of meaning, based on the four dimensions which were proposed in the 'content analysis model' by Henri(l992). Among four dimensions, 'social' and 'interactive' dimension belonged to category of inter-dependence, and 'cognitive' and 'metacognitive' dimension belonged to category of subject-relevance. The introverts/extroverts mixed group, which was heterogeneously composed, had the most positive effects on the total numbers of the units of meaning, the inter-dependence, and the subject-relevance of the contents of discussion.
Journal of the Korean association of regional geographers
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v.15
no.4
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pp.478-493
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2009
The purpose of this paper is to discuss the educational implications of global citizenship and regional identity in geographic education of multicultural society. Geographical education inquires into places and region on local, regional, national and global scales. Geography studies geographical representation of ethnical, cultural, political diversities of human societies. Therefore geography is a very proper subject for multicultural education. Geography has also inherent legitimacy on multicultural education in the viewpoints that space or region has valued inherent nature which is constructed by human experience, perception and response etc. Citizenship in multicultural education requests some abilities and attitudes of world citizens superior to state or nation oriented citizenship. However the education of world citizenship doesn't mean abandonment of regional identity in geographical education. Citizenship is based on geographical units which have their territories. Regional identity is the feeling of belonging as a member of a certain region, and is formed not only by race, ethnic, gender, political and social position but also by thought of nature, landscape, national identity, regional dialect, and historical context, etc. The regional identity in multicultural society means the homogeneity which includes the heterogeneity of diverse groups, and has a key which solves the conflicts of diverse groups in the region. Consequently multicultural education in geography would focus on the cultivation of regional identities which are founded on critical thinking to solve the conflicts of multicultural society. The geographic education in multicultural society would rather emphasize on region than on race or nation, and can integrate the global vision of world citizenship with the diverse viewpoint of multicultural education.
Journal of The Korean Association For Science Education
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v.18
no.1
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pp.43-60
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1998
The purpose of this study is to compare and analyse the elementary school science curriculum and textbooks of South and North Korea, then gather the fundamental sources for the establishment of elementary school science curriculum after Unification of Korea by clarifying the difference and the likeness in educational objectives, contents, teaching methods of both Korean elementary school sciences. Based on this comparison and analysis, this study tried to give the concrete suggestions for the elementary school science curriculum and textbook development after Unification. For this, analyses were carried out for the curriculum managing systems, subject organization, education goal, emphasis on each field, teaching-learning and evaluation method. Besides, this study compared and analysed the elementary school science textbook development and distribution system, apparent format, content organization, ratio of content categories, content scope and level and the related terms appeared in both Korean elementary school science textbooks. The result of this study showed a lot of differences in the educational objectives, contents, and educational method of the elementary school science between South and North Korea. The grasping of these differences and the exact understanding about what causes these differences and how the differences are made must be the necessary work for the science curriculum establishment, especially for elementary school science curriculum and textbook development, after Unification.
South Korea is currently facing multiculturalism, appropriately demanding broadened view and access to the study of Unification, especially in terms of who should be the subject. In congruence, recent Unification Education studies are proposing values stressed in Multiculturalism to function as the core ground, upon which other traits and contents are to follow. Similarly, Christian Education field is also reflecting the recent trend, welcoming 'everyone' to participate in preparing reunification of Korean Peninsula. However, most studies consist of suggesting and introducing directions for new approaches, not so much of dealing with systems or guidelines for practical practices. Information provided in fragments can rather cause confusion in understanding the concept, and lack of specific guidelines can soon lead to poor performances. In this study, Universal Design for Learning (UDL) is introduced as a methodology to be examined, whether it could effectively embody and systemize the newly emerged Multicultural Christian Unification Education. Therefore, the purpose of this study is 1) to generalize the concept of Christian unification education introduced in the multicultural era and 2) examine whether UDL is suitable for uniformizing and spreading the Multicultural approach of Christian Unification Education. Specifically, this study highly focused on examining whether UDL is a suitable methodology to achieve the goal of Multicultural Christian unification education, while uniformizing the diversities within multicultural Christian Unification Education. Through a thorough research, it was proved that the purpose and characteristics of multicultural Christian unification education are similar to those of UDL in that both focus on accepting heterogeneity as something "different" rather than something "wrong." Also, it was found that the application of the theory and guidelines of UDL can effectively unify while respecting the diverse methodologies used in Multicultural Christian Education.
The Journal of Korean Association of Computer Education
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v.4
no.2
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pp.63-69
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2001
In this paper, the educational effects of NETCLASS(network-based collaborative learning system) for EICE(education on information communication ethics) were verified by a non-equivalent control group protest-posttest design. We experimented our system on an experimental group (45 learners) and a comparative group (45 learners) respectively with a defining issues test (DIT). The t-value is 5.108 which shows the difference of the mean value between the experimental group and the comparative group, and their average p-mark shows that the difference is statistically meaningful at p<.001 level. Thus, the experiment using NETCLASS and DIT suggests that the morality of the experimental group is higher than that of the comparative group(t(88)=+5.108, p<.001). This paper suggests very strong possibility that the abilities such as creativity, sociality, morality and emotivity can be improved by utilizing ICT(Information and Communication Technology).
Kim, Ho-Rim;Yu, Soonyoung;Yun, Seong-Taek;Kim, Kyoung-Ho;Lee, Goon-Taek;Lee, Jeong-Ho;Heo, Chul-Ho;Ryu, Dong-Woo
Economic and Environmental Geology
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v.55
no.4
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pp.353-366
/
2022
Spatial estimation of geoscience data (geo-data) is challenging due to spatial heterogeneity, data scarcity, and high dimensionality. A novel spatial estimation method is needed to consider the characteristics of geo-data. In this study, we proposed the application of Gaussian Mixture Model (GMM) among machine learning algorithms with multivariate data for robust spatial predictions. The performance of the proposed approach was tested through soil chemical concentration data from a former smelting area. The concentrations of As and Pb determined by ex-situ ICP-AES were the primary variables to be interpolated, while the other metal concentrations by ICP-AES and all data determined by in-situ portable X-ray fluorescence (PXRF) were used as auxiliary variables in GMM and ordinary cokriging (OCK). Among the multidimensional auxiliary variables, important variables were selected using a variable selection method based on the random forest. The results of GMM with important multivariate auxiliary data decreased the root mean-squared error (RMSE) down to 0.11 for As and 0.33 for Pb and increased the correlations (r) up to 0.31 for As and 0.46 for Pb compared to those from ordinary kriging and OCK using univariate or bivariate data. The use of GMM improved the performance of spatial interpretation of anthropogenic metals in soil. The multivariate spatial approach can be applied to understand complex and heterogeneous geological and geochemical features.
The purpose of this study was to investigate the effects of learning achievement by comparing project approach group and the control group on the unit of growing flowers and vegetables in practical arts education. For this purpose, the experimental study on the unit of growing flowers and vegetables was achieved with 63 students(5th grade 2 classes) in S elementary school. The project approach model (Chung, Sung-bong) was applied to the experimental group, and the traditional model to the control group. To verify the effects of each class, nonequivalent control group post test-only design was applied 10 times. The SPSSWIN(ver 12. 0. 1) was used for analyzing the frequency and t-tests. The results of this study were as follows ; First, there was significant effect of learning achievement(cognitive domain) in the project approach groups. In addition, learning achievement of the experimental group has been showed significant difference about intellectual function and ability but not about knowledge. Second, there was significant effect of learning achievement(psychomotor domain) in the project approach groups. In other words, there has been showed significant difference in basic skill and integrated skill for growing flowers and vegetables but not in elemental skill for planting. Third, as the post test, there existed significant effect(affective domain) in the project approach groups. In other words, there was a meaningful difference in acceptance, value, belief, actualization but not in interest. Based on these results, It is believed that the project approach model in the unit of 'growing flowers and vegetables' is more effective than the traditional learning method in learning achievement of learners' cognitive, psychomotor and affective domain.
Sejeong Bae ;Bokyung Son ;Taejun Sung ;Yeonsu Lee ;Jungho Im ;Yoojin Kang
Korean Journal of Remote Sensing
/
v.39
no.5_3
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pp.1009-1029
/
2023
Urban trees play a vital role in urban ecosystems,significantly reducing impervious surfaces and impacting carbon cycling within the city. Although previous research has demonstrated the efficacy of employing artificial intelligence in conjunction with airborne light detection and ranging (LiDAR) data to generate urban tree information, the availability and cost constraints associated with LiDAR data pose limitations. Consequently, this study employed freely accessible, high-resolution multispectral satellite imagery (i.e., Sentinel-2 data) to estimate fractional tree canopy cover (FTC) within the urban confines of Suwon, South Korea, employing machine learning techniques. This study leveraged a median composite image derived from a time series of Sentinel-2 images. In order to account for the diverse land cover found in urban areas, the model incorporated three types of input variables: average (mean) and standard deviation (std) values within a 30-meter grid from 10 m resolution of optical indices from Sentinel-2, and fractional coverage for distinct land cover classes within 30 m grids from the existing level 3 land cover map. Four schemes with different combinations of input variables were compared. Notably, when all three factors (i.e., mean, std, and fractional cover) were used to consider the variation of landcover in urban areas(Scheme 4, S4), the machine learning model exhibited improved performance compared to using only the mean of optical indices (Scheme 1). Of the various models proposed, the random forest (RF) model with S4 demonstrated the most remarkable performance, achieving R2 of 0.8196, and mean absolute error (MAE) of 0.0749, and a root mean squared error (RMSE) of 0.1022. The std variable exhibited the highest impact on model outputs within the heterogeneous land covers based on the variable importance analysis. This trained RF model with S4 was then applied to the entire Suwon region, consistently delivering robust results with an R2 of 0.8702, MAE of 0.0873, and RMSE of 0.1335. The FTC estimation method developed in this study is expected to offer advantages for application in various regions, providing fundamental data for a better understanding of carbon dynamics in urban ecosystems in the future.
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