Social media-based communication has become crucial part of our personal and official lives. Therefore, it is no surprise that social media sentiment analysis has emerged an important way of detecting potential customers' sentiment trends for all kinds of companies. However, social media sentiment analysis suffers from huge number of sentiment features obtained in the process of conducting the sentiment analysis. In this sense, this study proposes a novel method by using Bayesian Network. In this model MBFS (Markov Blanket-based Feature Selection) is used to reduce the number of sentiment features. To show the validity of our proposed model, we utilized online review data from Yelp, a famous social media about restaurant, bars, beauty salons evaluation and recommendation. We used a number of benchmarking feature selection methods like correlation-based feature selection, information gain, and gain ratio. A number of machine learning classifiers were also used for our validation tasks, like TAN, NBN, Sons & Spouses BN (Bayesian Network), Augmented Markov Blanket. Furthermore, we conducted Bayesian Network-based what-if analysis to see how the knowledge map between target node and related explanatory nodes could yield meaningful glimpse into what is going on in sentiments underlying the target dataset.
Journal of The Korean Association For Science Education
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v.29
no.1
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pp.90-105
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2009
This study analyzed current programs practiced by science-gifted education centers. This study was based on concerns of 18 science teachers on six science-gifted education centers of the Seoul Metropolitan Office of Education that had local representatives. For this study, we collected data using journals, documents, reports, survey reviews and interviews with science teachers. Science teachers were concerned about the selection and identification of gifted students, education periods, curriculum, and student evaluation. More authentic measurement for students' potential ability were needed for the identification and selection process. If the purpose of science-gifted centers was to be met, the number of students selected should be determined by local differences rather than regional equality. The curriculum and educational period could make good use of time allotted for vacation to increase lesson periods. Lessons based on strategies like contests for improving the students' creativity, free inquiry and communication skills had to be encouraged. A consistent system for science-gifted education from primary school to high school was needed.
Woongil Park;Eunbi Cho;Jeong-Hyeon Chang;Joo-chang Kim
Journal of Internet Computing and Services
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v.25
no.1
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pp.91-98
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2024
With the advancement of ICT (Information and Communication Technology), searching for judgments through the internet has become increasingly convenient. However, predicting sentencing based on judgments remains a challenging task for individuals. This is because sentencing involves a complex process of applying aggravating and mitigating factors within the framework of legal provisions, and it often depends on the subjective judgment of the judge. Therefore, this research aimed to develop a model for predicting sentencing using artificial intelligence by focusing on structuring the data from judgments, making it suitable for AI applications. Through theoretical and statistical analysis of previous studies, we identified variables with high explanatory power for predicting sentencing. Additionally, by analyzing 50 legal judgments related to serious crimes that are publicly available, we presented a framework for extracting essential information from judgments. This framework encompasses basic case information, sentencing details, reasons for sentencing, the reasons for the determination of the sentence, as well as information about offenders, victims, and accomplices evident within the specific content of the judgments. This research is expected to contribute to the development of artificial intelligence technologies in the field of law in the future.
Unlike advancements on land, the maritime industry has been slow to embrace new technologies, primarily due to user apprehension toward unproven innovations in the development process. The existing paradigm of technology development, marked by expert-oriented and laboratory-centric test environments, often leads to a stagnation of progress at the research stage, as the applicability of the technology remains uncertain. This study departed from the conventional research system and introduced a novel methodology known as a "living lab." This approach aimed to ensure applicability by actively involving field-oriented users throughout the entire lifecycle of technology development, encompassing planning, development, verification, and evaluation. The presentation of a plan for the construction and operation of such a living lab in this study is expected to contribute to establishing an efficient experimentation system for ships that can reflect user opinions in the future and to secure technology applicability in the maritime field.
This study is an empirical study to examine the factors that influence the intention to use artificial intelligence (AI) technology for SW engineering-related tasks, and the purpose of the study is to understand the key factors that influence the use in terms of AI augmentation characteristics and interactive UI/UX characteristics. For this purpose, a survey was conducted among information and communication workers who have experience in using AI-related technologies and the collected data was analyzed. The results of the empirical analysis showed that perceived usefulness was positively influenced by the factors of expertise, interestingness, realism, aesthetics, efficiency, and flexibility, and perceived ease of use was positively influenced by the factors of expertise, interestingness, realism, aesthetics, and flexibility. Variety had no effect on both perceived ease of use and perceived usefulness. Perceived ease of use had a significant effect on perceived immersion, which positively influenced intention to use. These findings are significant in that they provide an academic understanding of the factors that influence the use of AI-enhanced tools in SW engineering-related tasks such as application design, development, testing, and process automation, as well as practical directions for the creators of tools that provide AI-enhanced development services to develop user acquisition strategies.
This study aims to explore how professors at community colleges are experiencing career guidance for their students, uncovering key components related to causes, phenomena, contexts, coping strategies, etc., and deriving a paradigm model to structurally. To achieve this objective, focus group interviews were conducted with a total of 23 community college professors, and the results were analyzed using the grounded theory method (Strauss & Corbin, 1998). The analysis yielded 17 categories and 31 subcategories. The central phenomenon in the career guidance of community college professors was categorized into two groups: the distress experience in career guidance and attitude changes toward interactions with students..Three categories of causal conditions contributing to the occurrence of the central phenomenon were identified: professors' lack of expertise in career guidance, students' scope and needs for career guidance, and students' low interest and expectations. Additionally, four contextual conditions corresponding to special situations or circumstances that contributed to the central phenomenon were identified: increasing demand for career guidance, excessive burden and time constraints for career guidance, lack of communication about career guidance at the institutional level, and limitations within the career guidance support system. Furthermore, the study uncovered patterns of action-interaction, mediating conditions, and outcomes. This study is expected to contribute to a better understanding of the actual experiences of college professors in the career guidance process, and to stimulate consideration of the types of support required for effective career guidance for college professors in the future.
The Journal of the Convergence on Culture Technology
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v.10
no.2
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pp.391-406
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2024
The current distribution of digital news has the potential to produce politically biased information for users as a result of individual choices and media selection based on those choices. Consequently, this research explored the factors affecting individual news selection and the effects of opinion changes and political participation that can occur when news tailored to users' partisan preferences is recommended. The phenomenon of selective exposure has been shown to be stronger when individuals utilize more limited information processing, experience higher discussion efficacy among groups with similar political beliefs. Furthermore, When a selective exposure group was randomly provided with a one-way message news that matched their partisan leanings, it was found that opinion consolidation, opinion-reinforcing information processing, and online political participation. On the other hand, when they were randomly presented with two-way messaging news in which the media balanced two competing partisan positions, they were found to be more likely to understand the other side's views and arguments, and more willing to adjust their existing opinions. We are confirmed that the balanced use of various opinions is very important in deliberative democratic process.
Journal of The Korean Association For Science Education
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v.44
no.2
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pp.219-229
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2024
The purpose of this study is to analyze the concerns and difficulties encountered by authors involved in the development of integrated science textbooks. Specifically, it focuses on their experiences with understanding and implementing the 2022 revised science curriculum. We collected 89 opinions from textbook authors and categorized them into several key areas: understanding the terminology and descriptors provided in the curriculum, structuring learning content, inquiries and activities, and the depth and scope of learning content. The analysis revealed that the most difficulty encountered by the textbook authors was in defining the level and scope of learning content. Many also expressed concerns and difficulties related to the ambiguity of terms and predicates. In terms of the composition of learning content, difficulties were identified in concerning the repetitive descriptions of achievement standards and the discrepancy between the arrangement of achievement standards and the flow of learning. Regarding inquiries and activities, there were experiments presented that were difficult to experience or actually implement, along with limitations in activity composition due to the need to optimize learning volume. Given the importance of high-quality textbooks for effective science education at the national level, it is crucial to establish effective communication channels between curriculum developers and textbook authors. Additionally, a robust support system for textbook development should be established.
The Journal of the Convergence on Culture Technology
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v.10
no.4
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pp.373-381
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2024
We confirmed that the children affected by child abuse, which has recently become an issue in the counseling field, were the highest in the ages of 10-17, and the number of occurrences by parents was the highest. We tried to understand the hardships of parents with adolescent children while conducting counseling and parental education to understand the difficulties of parenting experiences that play an important role in growing children. Therefore, this study attempted to analyze the subjective perception types and characteristics of each type of parenting experience of parents with adolescent children using the Q methodology. After forming a Q population and extracting the 33-question statement of the Q sample, the P sample was classified into the Q sample of 35 parents with adolescent children, and the perception type analysis was conducted with the QUANL program. As a result of our study, it was found that Type 1 was the unconditional love and understanding type, which was recognized as a process of endless understanding of children, Type 2 was the "reflection and change type," which recognizes empathy with children, communication, and parental reflection and change, Type 3 was the "learning and psychological independence assistance type," which recognizes that children should be psychologically independent and grow, and Type 4 was the "regret and identity confusion type," which recognizes regret about raising children in childhood and identity confusion as parents. Our study is meaningful in that it classified the subjective perception structure of parenting experiences perceived by parents with adolescent children by type. It is expected that this subjectivity study on parenting experiences will be used as basic data for parental education and parental counseling to raise adolescent children.
Journal of Korean Home Economics Education Association
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v.24
no.4
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pp.19-37
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2012
This study aims to give a broad overview of family-related contents in home economics from the 1st national curriculum to the 2007 revised national curriculum, thereby contributing to value fulfillment, textbook research, and educational development of home economics. The findings are summed up as follows: First, this study looks at the change of family-related goals and contents in home economics tutorials by national curriculum. Family-related goals shift a focus from a member of nation to individual pursuit of happiness, and the scope of family-related contents expands from a part of family (i.e. understanding of children) to every aspect of family life. Second, family-related contents record a higher share in home economics textbooks at the later stage of national curriculum. Third, this study classifies the change of family-related contents in home economics textbooks by national curriculum into seven categories: understanding of human development, process of human development, parenting and parental roles, understanding of family and family transition, marriage and family development, family relationship and issues, and family well-being. In particular, 'understanding of human development' underscores fundamental principles between the 3rd~6th national curriculum, 'process of human development' broadens its initial focuses on infancy and the preschool period to every scope of human development after the 5th national curriculum. 'Parenting and parental role' continues to stress parental roles and duties plus childcare for infants and preschoolers. In 'understanding of family and family transition,' national curriculums show the biggest difference in family perspectives subject to social change, and later national curriculums feature various family types recently on the rise. In 'marriage and family development,' initial national curriculums construe marriage as a necessity, whereas later national curriculums emphasize it as a matter of choice intertwined with mature love and responsibility. With coming under spotlight in recent national curriculum, 'family relationship and issues' highlights communication and family views based on gender equality for family unity. 'Family well-being' constitutes a pivotal part in the 2007 revised national curriculum, and it has recently emerged as the hottest issue in the family area as it presents lifelong welfare.
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