• Korean Journal of English Language and Linguistics
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• v.3 no.4
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• pp.611-635
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• 2003

The main purpose of this study is to find out what teaching method is more effective than others through experiments for college students. Therefore, this study aims to review various effective methods of vocabulary teaching. According to the results of the experiments, the methods of teaching vocabulary through the process of word formation and meaningful words led to the high scores at the posttest regardless of the scores gained by the individual subjects at the pretest. However, the method of teaching vocabulary through context showed that the improved scores at the posttest generally reflected the individual differences of the scores at the pretest. That is, in the latter, it is recognizable that the subjects who achieved the high scores at the pretest did very well at the posttest as well. In conclusion, judging from the mean rate of improvement, the method of teaching vocabulary through word formation seems to be more effective than that of teaching vocabulary through meaningful words and context.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.3
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• pp.1-10
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• 2012

Recently, Social Network services(SNS) is gaining popularity as Facebook and Twitter. Popularity of SNS leads to active service and social data is to be increased. Thus, social search is remarkable that provide more meaningful information to users. but previous studies using social network structure, network distance is calculated using only familiarity. It is familiar as distance on network, has been demonstrated through several experiments. If taking advantage of social context data that users are using SNS to produce, then familiarity will be helpful to evaluate further. In this paper, reflect user's attention through comments and tags, Facebook context is determined using familiarity between friends in SNS. Facebook context is advantageous finding a friend who has a similar propensity users in context of profiles and interests. As a result, we provide a blog post that interest with a close friend. We also assist in the retrieval facilities using Near Field Communication(NFC) technology. By the experiment, we show the proposed soicial search method is more effective than only tag.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.5
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• pp.618-623
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• 2011

This paper proposes a novel method to discriminate meaningful tables from decorative one using a composite kernel for handling structural information of tables. In this paper, structural information of a table is extracted with two types of parse trees: context tree and table tree. A context tree contains structural information around a table, while a table tree presents structural information within a table. A composite kernel is proposed to efficiently handle these two types of trees based on a parse tree kernel. The support vector machines with the proposed kernel dised kuish meaningful tables from the decorative ones with rich structural information.

• Journal of Software Engineering Society
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• v.24 no.1
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• pp.19-26
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• 2011

Since smart phones have various embedded sensors and high portability/usability, they have emerged as suitable targets to collect information and to provide intelligent services. That is, with a smart phone, we can collect information about user's circumstances and phone usage from sensors and infer his/her current state which is the significant basis for context-aware services. However, a service system should be founded on a context model to ensure reasonable context-awareness, because context information the system needs depends on its target services. Therefore, in this paper, we propose a hierarchical mobile context model for context inference of smart phone users in their daily life. We classify high-level context which can be draw from sensing data into three levels, Context-Behavior-Situation, and define inference methods for each level. With our mobile context model, we can user's meaningful context in his/her daily life besides simple actions or states.

• Safety and Health at Work
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• v.11 no.4
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• pp.443-449
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• 2020

Background: The study tries to show the effect of Occupational Health and Safety (OHS) legislation implemented via plan-do-check-act methodology on accident and sickness absenteeism. Methods: The data for the study gathered via a questionnaire from a large-sized organization operates in production and maintenance of passenger coaches in February-March 2019 in Turkey. The data analyzed via structural equation model analysis. Results: The results showed that there are statistically meaningful relationships between OHS protective measures, training and informing of employees, and employee participation and accident and sickness absenteeism. In addition, a meaningful relationship between internal control and accident and sickness absenteeism was determined. Statistically meaningful relationships between emergency measures, and health surveillance and internal control, and accident and sickness absenteeism could not be determined. Conclusion: It is concluded that the actions implemented by organizations to reduce absenteeism should be as per OHS legislation.

• The Journal of the Korea Contents Association
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• v.11 no.2
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• pp.22-30
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• 2011

In the IT convergence environment changed with not only the quality but also the material abundance, it is the most crucial factor for the strategy of personalized recommendation services to investigate the context information. In this paper, we proposed the recommendation using the service ontology based context awareness modeling. The proposed method establishes a data acquisition model based on the OSGi framework and develops a context information model based on ontology in order to perform the device environment between different kinds of systems. In addition, the context information will be extracted and classified for implementing the recommendation system used for the context information model. This study develops the ontology based context awareness model using the context information and applies it to the recommendation of the collaborative filtering. The context awareness model reflects the information that selects services according to the context using the Naive Bayes classifier and provides it to users. To evaluate the performance of the proposed method, we conducted sample T-tests so as to verify usefulness. This evaluation found that the difference of satisfaction by service was statistically meaningful, and showed high satisfaction.

• International Journal of Human Ecology
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• v.4 no.2
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• pp.89-100
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• 2003

This paper identifies trends in research methodology due to globalization. Context in both research and in practice and forms the key perspective for modern methodology and theory. Ecological perspectives are a necessary condition for quality global research. Human ecology researchers must advance the role of interdisciplinary and inter-functional perspectives and be open to collaborative relationships. These researchers must work in teams across disciplinary and functional boundaries. The paper discusses directions for research within the context of trends at U.S. federal agencies with applications to globalization and family life. Trends include： (a) use of diverse but rigorous methodologies； (b) recognition of the research-practice-research feedback loop；(c) primacy of context and diverse sampling; and (d) connections of research to problem solving. The terms promoted recently such as ″relationships″, ″diversity″ or ″problem-based″ are ingrained in human ecology. Key aspects for research in the next decade will be： (a) seeking diversity in sampling； (b) seeking colleagues with different perspectives； (c) incorporating meta-analysis into our work； (d) seeking meaningful results； (e) utilizing varieties of research methodologies to address our problems； and (0 understanding that practice must continually change as a function of research.

• Journal of the Korean earth science society
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• v.39 no.4
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• pp.378-387
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• 2018

In this research, the change of Korean middle-school science education environments is investigated through analyzing eighth graders' survey data collected over the past 20 years of TIMSS. We extracted educational context variables that provide meaningful information on changes of Korean science education, and have been surveyed more than 3 study cycles up to TIMSS 2015. The selected educational context variables include school resources and school climate from the school principal's questionnaires, and teacher characteristics and instructional activities from the teacher's questionnaires. For each context variable, we analyzed its trend over TIMSS cycles, and discussed its implications in light of Korean educational policy and curriculum changes. Based on the results, we recommended several ways that help to improve science teaching and learning in light of lab assistants, computer availability, teacher learning community, and middle school Earth science curriculum.

• The Mathematical Education
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• v.52 no.2
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• pp.217-230
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• 2013

This study attempts to propose the construction of textbook contents of fraction division and to suggest a method to strengthen the connection among problem context, manipulation activities and symbols by proposing an algorithm of dividing fractions based on problem contexts. As showing the suitable algorithm to problem context, it is able to understand meaningfully that the algorithm of fractions division is that of multiplication of a reciprocal. It also shows how to deal with remainder in the division of fractions. The results of this study are expected to make a meaningful contribution to textbook development for primary students.

• Nuclear Engineering and Technology
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• v.37 no.2
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• pp.159-166
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• 2005

Human reliability assessment (HRA) is conducted on the unspoken premise that 'human error' is a meaningful concept and that it can be associated with individual actions. The basis for this assumption it found in the origin of HRA, as a necessary extension of PSA to account for the impact of failures emanating from human actions. Although it was natural to model HRA on PSA, a large number of studies have shown that the premises are wrong, specifically that human and technological functions cannot be decomposed in the same manner. The general experience from accident studies also indicates that action failures are a function of the context, and that it is the variability of the context rather than the 'human error probability' that is the much sought for signal. Accepting this will have significant consequences for the way in which HRA, and ultimately also PSA, should be pursued.