• Journal of Information Technology Services
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• v.23 no.2
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• pp.1-12
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• 2024

This study aims to find ways to increase the declining donation intention by using machine learning techniques. To this end, in order to predict factors that affect donations between the MZ generation and the senior generation, various machine learning algorithms, including logistic regression analysis, are applied to build a model to determine variables that affect donation intention, and provide statistical verification and evaluation indicators. In this study, differences in donation intention by generation were expected as a variable affecting donation intention, and the senior generation was expected to show a higher donation intention tendency than the younger generation. However, although the research results were not statistically significant, the younger generation showed a higher intention to donate, and these results are interpreted to mean that value consumption and ethical consumption, which are important to today's MZ generation, also influenced donations. However, there were differences between generations in the amount of donations, and higher donation amounts were confirmed among the senior generation (those in their 50s or older) than the younger generation. In addition, the results of the logistic regression analysis showed that previous donation experience had a positive effect on future donation intention, and the more motivation and importance of donation and various social participation activities online and offline, the more active one became in donating.

• Journal of The Korean Association For Science Education
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• v.41 no.3
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• pp.221-235
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• 2021

The purpose of this study is to investigate the learning effects according to the level of Science State Curiosity (SSC) and Science State Anxiety (SSA) in science learning situation for 5th~6th grade elementary school students. To achieve this purpose, we measured and analyzed SSC and SSA in each learning situation by dividing science learning into three situations: Confronting scientific task (I), Checking the results (II), and Learning science concepts (III). In order to identify the net effects of SSC and SSA on learning effects, science curiosity, need for cognition, science self-concept, science anxiety, and interest, which were expected to affect the learning effects, were controlled. SSC and SSA in the situation of confronting scientific tasks were defined as 'SSCI' and 'SSAI,' SSC and SSA in the situation of checking the results were defined as 'SSCII' and 'SSAII,' and SSC and SSA in the situation of learning science concepts were defined as 'SSCIII' and 'SSAIII.' In addition, the learning effects were divided into post-learning effect and delayed post-learning effect, and the degree of improvements in the post- or delayed post-test scores compared to the pre-test score were calculated and analyzed. As a result of the analysis, SSCI·SSCII had a positive effect on the post- and the delayed post-learning effect, but SSAIII had a negative effect on the post- and delayed post-learning effect, SSAI·SSAII had a negative effect on the post-learning effect. SSC had a greater effect on learning effects than SSA, and SSCII had the most influence on the post-learning effect and SSCI had the most influence on the delayed post-learning effect. As SSCIII increased, there was a tendency to do additional voluntary learning. The results of this study are expected to broaden the understanding of students' emotional states in science learning and provide a theoretical foundation for studies of state curiosity and state anxiety.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.547-554
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• 2019

Havruta is the best teaching and learning method for developing the process of thinking, and it is a method of education centered on a range of student activities. This study examined the effects of adult learning nursing education using the Havruta learning method on the critical thinking disposition, learning commitment, and learning satisfaction. Data collection was carried out from September to December, 2017 in 96 second grade nursing college students attending a university in U city. The data were analyzed using descriptive statistics, ${\chi}^2-test$, t-test, and two-way repeated ANOVA using the SPSS WIN 23.0 program. The critical thinking disposition, learning commitment, and learning satisfaction were similar in the experimental group, who performed the adult nursing education using the Havruta learning method, and the control group. On the other hand, after the adult nursing education using the Havruta learning method, the critical thinking tendency (md=.14, p=.045), learning commitment (md=.27, p=.025), learning satisfaction (md=.30, p=.031) increased significantly. Therefore, adult nursing education using the Havruta learning method is an effective program to improve the critical thinking disposition, learning commitment, and learning satisfaction of nursing college students.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.9-17
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• 2020

In this paper, we proposed an SNS review analysis method based on deep learning for user tendency. The existing SNS review analysis method has a problem that does not reflect a variety of opinions on various interests because most are processed based on the highest weight. To solve this problem, the proposed method is to extract the user's personal tendency from the SNS review for food. It performs classification using the YOLOv3 model, and after performing a sentiment analysis through the BiLSTM model, it extracts various personal tendencies through a set algorithm. Experiments showed that the performance of Top-1 accuracy 88.61% and Top-5 90.13% for the YOLOv3 model, and 90.99% accuracy for the BiLSTM model. Also, it was shown that diversity of the individual tendencies in the SNS review classification through the heat map. In the future, it is expected to extract personal tendencies from various fields and be used for customized service or marketing.

• Journal of the Korean Society for information Management
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• v.39 no.1
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• pp.91-117
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• 2022

The number of depressed patients in Korea and around the world is rapidly increasing every year. However, most of the mentally ill patients are not aware that they are suffering from the disease, so adequate treatment is not being performed. If depressive symptoms are neglected, it can lead to suicide, anxiety, and other psychological problems. Therefore, early detection and treatment of depression are very important in improving mental health. To improve this problem, this study presented a deep learning-based depression tendency model using Korean social media text. After collecting data from Naver KonwledgeiN, Naver Blog, Hidoc, and Twitter, DSM-5 major depressive disorder diagnosis criteria were used to classify and annotate classes according to the number of depressive symptoms. Afterwards, TF-IDF analysis and simultaneous word analysis were performed to examine the characteristics of each class of the corpus constructed. In addition, word embedding, dictionary-based sentiment analysis, and LDA topic modeling were performed to generate a depression tendency classification model using various text features. Through this, the embedded text, sentiment score, and topic number for each document were calculated and used as text features. As a result, it was confirmed that the highest accuracy rate of 83.28% was achieved when the depression tendency was classified based on the KorBERT algorithm by combining both the emotional score and the topic of the document with the embedded text. This study establishes a classification model for Korean depression trends with improved performance using various text features, and detects potential depressive patients early among Korean online community users, enabling rapid treatment and prevention, thereby enabling the mental health of Korean society. It is significant in that it can help in promotion.

• Journal of the Korean Chemical Society
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• v.46 no.1
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• pp.76-82
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• 2002

This study investigated the effects of assigning cognitive roles, a method that may promote verbal interaction in knowledge-building processes, in small-group discussion for science concept learning. Two classes (62 students) of 7th-graders respectively received a concept learning instruction through small-group discussion with assigned cognitive roles (CR) asking to explain and contradict one's idea and to synthesize and conciliate group's idea, and a concept learning instruction through small-group discussion with no specific assigned roles (NSR), for 9 class periods. After the instructions, the tests of achievement, conceptions, the perceptions on science learning environments, and the perceptions toward small-group discussion were administered. ANCOVA results revealed that low-achievers in the NSR group performed significantly better than those in the CR group. Similar tendency was also found in the scores of the conceptions test. Two groups did not differ significantly in the perceptions on science learning environments and toward small-group discussion.

• Journal of Gifted/Talented Education
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• v.13 no.2
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• pp.113-130
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• 2003

In this study, learning materials that can be applied for web-based distant learning model were developed based on the characteristics of elementary school science in which investigation skills and thinking ability are considered to be important. And the effect of students' activity in a reports on student's investigating and thinking ability was investigated. While designing diverse experimental procedures, the students had. an opportunity to improve their observation attitude and way of scientific thinking. Such improvement was possible, only because the present web-based distant learning model consists of requiring an interaction between the students and a report and evaluation system which can put together such effort. Still, it was acknowledged that, as being in lack of teacher's direct support and supervision, the present web-based distant learning model might be somewhat ineffective in guiding the students in accordance with their own characteristics. For example, the students had a tendency to maintain their basic idea and style even when their reports are individually examined and corrected in terms of the format of the report.

• Journal of The Korean Association For Science Education
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• v.21 no.5
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• pp.893-905
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• 2001

Korean students ranked the 3rd out of 32 participating countries in the first cycle of PISA(Programme for International Student Assessment) science field, which assessed 15-years-old students' scientific literacy. PISA developed several variables such as parents' socio-economic status, parents' educational attainment, family wealth, and cultural possession, to investigate the effects of background variables on scientific literacy. On the other hand, motivation and engagement in science study were not given much attention, partly because science was the minor area in the first cycle of PISA. Therefore, PISA Korea developed a series of variables to collect data on students' learning motives and out-of-school activities in science as a national option. The results are as followings. First, Korea was found to be one of the PISA participating countries with the scientific literacy achievement least influenced by parents' socio-economic status, family wealth, and parents' cultural possession. Second, the degree of achievement in scientific literacy according to parents' educational attainment was in a positive correlation, similar to the overall tendency of PISA. Third, the most crucial learning motive for Korean students was their desire to develop scientific thinking abilities or obtain science knowledge. On the other hand, choosing jobs in the field of science or parental expectation was the least important learning motive. In particular, the motive for scientific learning was found to have a positive relationship with the degree of scientific literacy achievement. Therefore, the higher the students achievement, the stronger the motive for scientific learning in order to develop their ability to think scientifically or acquire science knowledge. Fourth, Korean students were shown to participate very little in out-of-school scientific activities other than watching TV programs related to science. Whatever the activities may be, the more actively involved students are in out-of-school scientific activities, the higher their scientific literacy achievement. Fifth, Korean girls were rather passive compared to boys in all areas, including science learning motive and out-of-school scientific activities. The gender difference was especially more pronounced in out-of-school scientific activities with wider gaps in such activities as reading scientific books or articles and visiting science-related web sites.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.11
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• pp.2127-2134
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• 2007

The electronic learning helped a learner to overcome the time restriction by providing mobility, instantly and flexibility but the restriction in connection with space on cable computer remained unsolved. Accordingly, the electronic learning has tendency to change into mobile learning environment which allows a learner to overcome time and spatial restriction. However, these mobile devices have a limitation to awareness of learning contents provided over the realtime video movie due to its small display size. Therefore, this paper suggests a technique according to the following priority: for a real time learning image, extract region of study for region of interest, rescale the real time image to its proper size suitable for the display device, and then make it displayed on a wireless PDA. As a result of the experiment, we reduced the calculating time by sampling the field centering on learning contents adaptively and computing the field best suited for device size of the user effectively.

• Journal of the Korean Chemical Society
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• v.66 no.2
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• pp.163-170
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• 2022

This study investigated and analyzed the social and emotional learning components of middle school science, and high school integrated science and science inquiry experiments, which are common subjects that all students must complete. The subjects of analysis were 139 achievement standards of science and curriculum and 496 activities included in textbooks. The research results are as follows. In the case of curriculum achievement standards, 'cultural understanding' was hardly included among the seven science and social-emotional learning elements, 'numeracy' and 'creative thinking' appeared high in middle school, 'critical thinking', 'social technology' and 'ethical understanding' were included with high frequency in high school. And in the case of textbook activity, the tendency of social-emotional learning elements in middle school and high school was similar. 'critical thinking', 'creative thinking', and 'social skills' were mainly provided, while 'ethical understanding' and 'cultural understanding' were reflected in a limited way. In order to cultivate the elements of overall social-emotional learning, it is necessary to specify the achievement standards of the curriculum or to supplement the textbook activities and teaching-learning process.