• Journal of Environmental Health Sciences
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• v.41 no.6
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• pp.380-388
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• 2015

Objectives: Poisonous substances experts engage in policymaking regarding poisonous substances, whereas poisonous substances managers perform legal duties related to poisonous substances management systems at worksites. To understand and improve poisonous substances designation systems, it is necessary to distinguish the roles of these experts and managers. We further aimed to identify problems with poisonous substances appointment systems and provide basic data for their improvement by investigating the knowledge and recognition of the need for system improvement among managers and experts. Methods: To determine the $subjects^{\circ}{\emptyset}$ awareness of poisonous substances designation systems, a selfadministered questionnaire comprised of items on general characteristics and knowledge and recognition of the need for system improvement was issued. Data were analyzed via t-tests and ANOVA using SPSS v 16.0 Results: Regarding system comprehension, managers (n=213; mean 3.28, SD 0.63) significantly differed from experts (n=35; mean 4.08, SD 0.59) (P<0.001). No differences were found in recognition of need for improvement between managers (mean 3.11, SD 0.34) and experts (mean 3.24, SD 0.31). Significant differences in comprehension were found among managers by education level (P<0.05) and company size (P<0.05). Regarding industry type, comprehension was greater in the electrical/electronic and chemical/environmental industries compared to in other industries (P = 0.066). Comprehension was higher among those with five years or more of experience compared to those with less than five years. Regarding recognition of need for improvement, managers showed significant differences by company size (P<0.05). $Experts^{\circ}{\emptyset}$ comprehension showed no differences by general characteristics, while need for improvement differed according to work experience (P<0.001). Conclusion: The study found that the bigger the company size, the higher the level of comprehension by managers and the experts. In the case of both groups, where a higher comprehension of the poisonous substances designation system was evident, they recognized the necessity of its improvement.

• Journal of Gifted/Talented Education
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• v.25 no.4
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• pp.649-667
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• 2015

This study handled underachievement issue of gifted students by developing and validating educational programs as a solution, or relief, of their academic underachievement problems. The proposed educational program was designed to enhancing reading comprehension ability of gifted students with underachievement. Based on comprehensive literature review, this study found that key issues of underachievement have to do with learning strategy, and also that learning strategy was established as 'reading comprehension strategy.' Considering diverse reading comprehension models and strategies suggested by preceding studies, the reading comprehension strategy program in Korean was customized for underachieving gifted students on the middle school level. The effectiveness of the reading comprehension strategy program as a solution to underachievement of gifted students was explored by applying the developed program to 36 identified students after school twice a week for 6 weeks, conducting pre- and post-tests that were selected to measure their reading comprehension abilities, collecting their academic achievement data before and after the intervention by this study, and interviewing students. As the results of this study, reading metacognition ability, reading comprehension skills, and school grades of gifted students with underachievement were meaningfully improved as a group. On the individual level, 12 identified students, exactly one third of the whole group of underachieving gifted students, showed so improved academic achievement as we can say they overcame underachievement based on the Supplee's definition.

• Journal of The Korean Association For Science Education
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• v.38 no.5
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• pp.667-680
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• 2018

The purpose of this study is to investigate 1) the types of knowledge students ask for in their reading comprehension of science textbooks using an online annotation system, 2) the accuracy of the knowledge provided by the students to their peers, 3) the frequency of knowledge sharing behaviors, 4) the evaluation of the effect of collaborative reading, and 5) the trust among peers as knowledge sharers. Questions made by 241 students in the second grade of middle school using an online annotation system in two chapters of the science textbook were analyzed using Bloom's revised taxonomy and their answers were grouped according to five accuracy categories. Also, questionnaires for the evaluation of the effectiveness of collaborative reading comprehension and of trust among the students were used. The students asked their peers 'understanding questions' which comprised almost 80% of the total questions they made and were similar with individual metacognitive strategies for reading comprehension. Of the total threads, 71% has scientifically correct threads shared by the students. The frequency of the knowledge sharing behaviors was high but this was affected by the rewards (point system). Students evaluated that collaborative reading comprehension conducted through an online annotation system were helpful in their learning. In addition, the ratio of students trusting their peers who did the knowledge sharing is over 80%. This study shows that when students use an online annotation system, they can fill one another's cognitive gaps in the reading process by sharing knowledge. Also, collaborative reading using an online annotation system has proved that cognitive individualization is possible through sharing knowledge interactively and dynamically, unlike reading hard copies of textbooks which are a one way information transfer.

• Journal of Korean Society of Neurocognitive Rehabilitation
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• v.10 no.2
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• pp.35-44
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• 2018

This study was conducted to explore the effects of semi-structured $DIRFloortime^{(R)}$ treatment on the enhancement of language comprehension and information processing of children with high-performance autistic spectrum disabilities. We measured the general characteristics of the test subjects, which are level of autism, total intelligence, language comprehension and information processing indicators. The intervention method used was a semi-structured $DIRFloortime^{(R)}$ therapy using board game intervention program after revising and supplementing the expert content validity. A pre/post-test for a group was designed as a similar experiment and the pre/post test was initiated with the t certification at .05 of significance level. After initiating the program, the post test has shown that the language comprehension indicators showed statistically significant levels of difference (p<.001) and the information processing indicator also had a statistically significant effect (p<.001). There was a statistically significant difference (p<.001) in the level of verbal comprehension index after the program implementation, and statistically significant differences in the information processing index (p<.001). The semi-structured $DIRFloortime^{(R)}$ treatment using boardgames for enhancing the language comprehension and information processing indicators of children with high performance autistic spectrum disorder had a significant effect.

• Therapeutic Science for Rehabilitation
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• v.10 no.4
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• pp.25-38
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• 2021

Objective : This study aimed to establish an analytic methodology that can objectively evaluate the proverb comprehension levels that vary based on the aging process. Method : This study recruited 70 normal elderly aged ≥ 65 years and performed proverb comprehension tasks using an explanation method. A scoring estimation method was designed on 3 and 5-point scales. The difficulty and discrimination levels were calculated based on the two scales, thereby selecting the final questions and evaluation scale. Results : First, the item discrimination index on the 5-point scale was relatively higher than that on the 3-point scale, and 10 items were finally selected. Second, in terms of proverb comprehension ability, the elderly group aged 70 ~ 84 years showed significantly lower performance than those aged 65 ~ 69 years. Additionally, subjects with ≥ 10 years of education showed significantly higher performance than those with 9 ≤ years of education. Third, the performance of the proverbs comprehension task negatively correlated with the reaction time of the executive function task. Conclusion : Proverb comprehension is a task that can distinctively show a deterioration of brain functions in line with the aging process even among the normal elderly group and therefore, can estimate the difference more effectively with an increase in the score of the evaluation scale.

• Phonetics and Speech Sciences
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• v.16 no.2
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• pp.83-90
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• 2024

This study aimed to explore phonological retrieval and phonological memory skills in second to third graders with dyslexia, poor comprehension, and typical development. The participants included 17 children with dyslexia, 17 children with poor comprehension, and 24 typically developing children. Children with dyslexia scored below 85 on the word decoding test, poor comprehender scored above 90 on the word decoding, and below 85 on the reading comprehension test and typical children scored above 90 on both reading tests. All participants were assessed on rapid automatized naming (RAN) and nonword repetition (NWR). The result indicated that children with dyslexia performed significantly worse on RAN and NWR tasks than other groups. However, there was significant differences between poor comprehender and typically developing children. Furthermore, only RAN were significantly correlated with word decoding and reading comprehension in children with dyslexia. For typically developing children, RAN was correlated with word decoding and reading comprehension, while NWR had a significant correlation with reading comprehension. No correlations were found between these variables for poor comprehender. The finding suggests that children with dyslexia showed difficulties on phonological retrieval and phonological memory, which are essential for reading development while poor comprehender do not have difficulties with phonological processing skills. Phonological processing deficits may underlie word decoding difficulties in dyslexia.

• Journal of The Korean Association of Information Education
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• v.12 no.4
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• pp.417-425
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• 2008

The purpose of this study is to explore the educational potential of digital story telling in Second Life with three-dimensional virtual reality. Virtual reality such a Second Life can provide to learner chance with the rich learning environment through fidelity. In this study, we have been measured the fun and comprehension among three groups on digital storytelling types. Through the result of experimental, comprehension was no significant but fun was different among three groups on storytelling. we have the result that experiential activity in virtual reality that provide to get the identification as a main character, good environment is influenced the fun to learner via engagement facilitation.

• Journal of Korea Multimedia Society
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• v.23 no.2
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• pp.351-360
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• 2020

If various unreasonable safety standards are preemptively and effectively readjusted, the risk of accidents can be reduced. In this paper, we proposed a machine reading comprehension-based safety standard Q&A system to secure supporting technology for effective search and analysis of safety standards for integrated and systematic management of safety standards. The proposed model finds documents related to safety standard questions in the various laws and regulations, and then divides these documents into provisions. Only those provisions that are likely to contain the answer to the question are selected, and then the BERT-based machine reading comprehension model is used to find answers to questions related to safety standards. When the proposed safety standard Q&A system is applied to KorQuAD dataset, the performance of EM 40.42% and F1 55.34% are shown.

• English Language & Literature Teaching
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• v.15 no.4
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• pp.55-74
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• 2009

Although a considerable amount of research on discourse signaling cues has been conducted in reading, little attention has been paid to such cues in the area of listening. Moreover, despite the solid evidence showing that cues have beneficial effects for reading comprehension, L2 listening research has produced mixed findings about the role of cues. Such discrepancies among these findings might be due in part to inadequate research methodologies as well as the idiosyncratic features of their experimental designs. However, no study, to date, has thoroughly examined the research designs of listening comprehension studies on cues. Consequently, this study critically evaluates the present state of research designs and reporting practices of studies investigating the role of cues in listening comprehension. The present study aims to provide insights into areas that require empirical attention and systematic investigation. It also seeks to encourage improved and refined research practices for future studies. This paper is organized as follows: It will first critically review the empirical findings regarding cues in the area of L1 listening comprehension. Second, it will present a critical evaluation of L2 listening studies on cues. Finally, it will address the major research design issues of currently available listening studies and provide suggestions for improvement in future research.

• ETRI Journal
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• v.41 no.6
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• pp.771-781
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• 2019

We propose the VS³-NET model to solve the task of question answering questions with machine-reading comprehension that searches for an appropriate answer in a given context. VS³-NET is a model that trains latent variables for each question using variational inferences based on a model of a simple recurrent unit-based sentences and self-matching networks. The types of questions vary, and the answers depend on the type of question. To perform efficient inference and learning, we introduce neural question-type models to approximate the prior and posterior distributions of the latent variables, and we use these approximated distributions to optimize a reparameterized variational lower bound. The context given in machine-reading comprehension usually comprises several sentences, leading to performance degradation caused by context length. Therefore, we model a hierarchical structure using sentence encoding, in which as the context becomes longer, the performance degrades. Experimental results show that the proposed VS³-NET model has an exact-match score of 76.8% and an F1 score of 84.5% on the SQuAD test set.