• Journal of Advanced Information Technology and Convergence
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• v.10 no.1
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• pp.45-56
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• 2020

Despite extensive research, performance enhancement of keyphrase (KP) extraction remains a challenging problem in modern informatics. Recently, deep learning-based supervised approaches have exhibited state-of-the-art accuracies with respect to this problem, and several of the previously proposed methods utilize Bidirectional Encoder Representations from Transformers (BERT)-based language models. However, few studies have investigated the effective application of BERT-based fine-tuning techniques to the problem of KP extraction. In this paper, we consider the aforementioned problem in the context of scientific articles by investigating the fine-tuning characteristics of two distinct BERT models - BERT (i.e., base BERT model by Google) and SciBERT (i.e., a BERT model trained on scientific text). Three different datasets (WWW, KDD, and Inspec) comprising data obtained from the computer science domain are used to compare the results obtained by fine-tuning BERT and SciBERT in terms of KP extraction.

• Journal of information and communication convergence engineering
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• v.22 no.2
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• pp.153-158
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• 2024

This study aims to summarize the effects of Arduino-based educational programs through a meta-analysis. Eleven eligible primary studies were obtained through a systematic literature review and coded accordingly. The results are as follows: The meta-analysis revealed that the overall effect size for all the studies was 0.518. Analysis of the moderator variables indicated statistically significant differences between them. Regarding the learning domains, the results were ranked in descending order of the cognitive and affective domains. Within the cognitive domain, the effect sizes were ranked in descending order as follows: logical thinking, content knowledge, convergence competency, self-efficacy, computational thinking, and creative problem-solving skills. In terms of subject areas, the descending order of effect sizes was agriculture, STEAM, environmental science, practical arts, artificial intelligence, informatics, and computers. Regarding school level, the results were ranked in the following descending order: college, elementary school, middle school, and high school.

• Journal of Digital Convergence
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• v.16 no.8
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• pp.11-18
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• 2018

In the Digital Transformation infrastructure at the addition to research on mental health such as depression and well-being, research on middle-aged health requires a study consisting of specific measures of cognitive health. This study used social, mental, and physical cognitive health as a sub-domain of cognitive health. The purpose of this study was to investigate the positive effects of volunteer activities on cognitive health for middle-aged women. The questionnaire survey was conducted on middle-aged women aged 40 to 59, focusing on the question "How well does cognitive health work for middle-aged women through volunteer activities?" The goal of this study is to examine the effect of volunteer activities on the cognitive health of middle-aged women and to analyze the meaning and influencing factors of volunteer activities needed to maintain the desirable life of middle-aged women and the healthy life of the elderly. The necessity to diversify and activate volunteer activities of middle-aged women was proved through the survey.

• Journal of Navigation and Port Research
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• v.37 no.3
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• pp.231-237
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• 2013

What to analyze cognitive works that are involved in ship navigation is a basic work to make alternatives for maritime safety such as development of bridge equipments, extraction of potential human errors and development of education/ training methods. In the domains in which much research on the human error has been performed such as aviation and nuclear plant, analysis methods for cognitive work analysis have been developed and applied to them. However, the research on the cognitive work analysis is not sufficient in the maritime domain. This paper proposes a method to analyze cognitive work of ship navigation. The method was developed so that some maritime characteristics and a variety of factors influencing cognitive works are reflected on cognitive work analysis processes. On the other hand, an ship collision accident was analyzed by the proposed method as a case study.

• Journal of Preventive Medicine and Public Health
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• v.55 no.1
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• pp.106-113
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• 2022

Objectives: Previous studies have found that the oral health of seniors can affect their physical nutrition and quality of life (QoL). Additionally, poor oral health can lead to the development of dementia, which is associated with decreased cognitive function. This study aimed to examine the impact of geriatric oral health (GOH) on the QoL of Korean seniors and the mediating effects of cognitive function. Methods: We used data from the seventh Korean Longitudinal Study of Aging conducted in 2018. In total, 4049 seniors were included in our study. We analyzed the impact of GOH on QoL according to 5 mediating domains of cognitive function and control variables. To examine each path of mediating effects, bootstrapping with 5000 iterations was performed with 95% confidence intervals. Results: Our findings revealed that good GOH had a positive effect on the QoL of seniors. Also, better GOH corresponded to a higher degree of cognitive function within all 5 domains: orientation, memory registration, attention/calculation, memory recall, and language and visuospatial ability. In addition, 3 domains of the 5 domains (attention/calculation, memory recall, and language and visuospatial ability) had significant mediating effects on the relationship between GOH and QoL. Conclusions: This study suggests that adequate management of GOH is crucial for promoting a better QoL and a high degree of cognitive function among seniors. To prevent cognitive impairment, such as dementia, future studies should take a more targeted approach by examining data according to each cognitive domain and various socio-demographic factors.

• The Journal of Korean Academic Society of Nursing Education
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• v.21 no.2
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• pp.155-167
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• 2015

Purpose: The aim of this study was to develop course outcomes for nursing students by applying Hauenstein's theory. Methods: The research was conducted in three steps as follows: identifying exit outcomes related to the Adult Nursing course, developing Adult Nursing course outcomes based on the theory of Hauenstein, and finalizing Adult Nursing course outcomes. Results: Exit outcomes achievable in Adult Nursing were generated after a needs analysis survey among students, nurses and professors was conducted and subsequently reviewed by professors specializing in the subject. For theoretical courses, the level of the course outcomes was derived from the cognitive domain, whereas, for practical courses, it was derived, in stages, from the cognitive, affective and psychomotor domains. Next, using taxonomical terms that can properly address the level of each domain, course outcomes for theoretical and practical courses were determined. After expert opinion was sought, the final course outcome for the Adult Nursing course was produced. Conclusion: The results are meaningful in that valid course outcomes were developed through the process described above and are expected to greatly contribute to reaching exit outcomes and strengthen the professional capacity of nursing students.

• School Mathematics
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• v.6 no.1
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• pp.21-35
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• 2004

This article was to develop a tool and apply it to the high school classrooms for the performance assessment in trigonometry Bloom(1956)'s cognitive domain and holistic rubric and analytic rubric(NCTM, 1999) were used to guide the development of 12 problems. To find validity and credibility of this developed tool, Cronbach n and Rasch's BIGSTEPS were used with the samples of high students, 208, using SPSS 10.0K. The results from the investigation, indicated that the tool was very worth assessing students' achievement and there was no difference between the areas where students lived, but were differences between genders as well as between a specialized high school and preparatory high schools.

• Korean Journal of Cognitive Science
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• v.21 no.4
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• pp.655-667
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• 2010

The named entity recognition task is one of the most important subtasks in Information Extraction. In this paper, we describe a Korean named entity recognition using structural Support Vector Machines (structural SVMs) and modified Pegasos algorithm. Using the proposed approach, we could achieve an 85.43% F1 and an 86.79% F1 for 15 named entity types on TV domain and sports domain, respectively. Moreover, we reduced the training time to 4% without loss of performance compared to Conditional Random Fields (CRFs).

• Korean Educational Research Journal
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• v.38 no.1
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• pp.29-39
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• 2017

This study analyzes the items of acid base and redox unit in the middle school science textbook based on the 2009 revised science curriculum using Bloom's taxonomy of educational objectives. As a result of the analysis, the elements of knowledge area appeared the most in textbook items of all publishing companies, and those elements were less in order of understanding, application, analysis, synthesis and evaluation. And the sub-domain of cognitive domains were not evenly distributed by the publisher. Therefore, schools need to refer to the evaluation items of the textbooks of various publishing companies and use them in class.

• The Korean Journal of Health Service Management
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• v.14 no.1
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• pp.43-53
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• 2020

Objectives: The purpose of this study was to investigate the factors of importance in the medical field from the perspective of the consumer, using "Consumption Life Indicators in Korea." Methods: We examined the general characteristics, economic conditions, information acquisition, complaint-provoking experiences, cognitive score on dispute resolution, and factors affecting medical domain importance selection, using SAS 9.4. software. Results: It was found that "age" among general characteristics and "income" among economic conditions were important factors in selecting medical domain importance. Thus, it was possible to reaffirm the poor health of socioeconomically vulnerable people and their socioeconomic difficulties. Conclusions: The medical domain selection group needs the attention of the government, medical institutions, academia, consumer groups, community service groups and professional organizations, and needs substantial economic support and customized education.