• English Language & Literature Teaching
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• v.15 no.2
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• pp.185-207
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• 2009

This study investigated the extent of informational text genre appeared in English textbooks at grades six, seven, and nine. Employing content analysis to analyze the literary forms, the researcher identified genre in each reading selection of each English textbook and classified it into six categories - fiction, information, biography, poetry, play, or fantasy. Especially, informational genre was classified further into two subcategories - non-narrative and narrative - in order to investigate the extent of non-narrative informational text only. The text genre was examined by analyzing (a) the number of reading selections representing each genre and (b) the number of words in reading selections devoted to each genre. The most frequent type of genre at grade 6 and 7 was fiction with 94% and 71% respectively, whereas at grade 9 it was devoted to information (51%), followed by fiction (37%). The largest number of words was devoted to fiction with 96% at the sixth grade and 70% at the seventh grade; on the other hand, for grade 9, it was devoted to information (46%), followed by fiction (39%). Although there was variance across different publishers, the informational text genre gained more significance as the grade level increased. In particular, the percentage of reading selections and words devoted to the non-narrative or expository informational genre was overall 4% at grade 6, 17% at grade 7, and 44% at grade 9. The findings demonstrated the need to pay more attention to informational literacy especially in the early grades for the development of balanced genre knowledge.

• The Journal of Korean Association of Computer Education
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• v.12 no.6
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• pp.1-9
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• 2009

Programming learning may help to enhance learners' complex problem solving abilities. However, it may cause excessive cognitive loads for learners. Therefore, selection of programming tools and design of teaching and learning strategies to minimize the learners' cognitive loads and to maximize the learning effects. A task centered Scratch programming learning program was developed to enhance problem solving abilities of middle school students. And then, we implemented the developed program in middle school programming classes and analysed the educational effects of the developed program. We found that the developed program was helpful in enhancing learners' problem solving abilities, especially in the element of 'troubleshooting', which explains ability of error detecting and correcting.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.11
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• pp.4182-4187
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• 2010

The education on manners[etiquette] is necessary to have pragmatic value centered on practice, not merely deliver knowledge or a theory. For this purpose, it is required to develop various teaching methods for its revitalization. This study is to suggest UCC contents as the most suitable learning tool and to show the cases. The education on manners using UCC contents has positively influence on students' interest in class as well as the improvement in achievement, and attracts their attention. Also it inspires students' sense of manners through the practical exercise and results in the positive change of their behavior. Therefore UCC contents attempted newly are considered to be a useful learning tool and for this reason, I offer them as basic data for the education of manners.

• Cross-Cultural Studies
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• v.30
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• pp.125-165
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• 2013

The purpose of this study is to find methods that allow learners to improve their listening comprehension skills. To do this, we have divided this article into three parts. In the first part, we analyzed studies focus on the skill of listening. In the second part, we are dedicated to the process steps in the study of listening comprehension. In the last part, we tried to demonstrate this by examples according to the difference in levels of learners. More specifically, we applied the questionnaires according to a typological difference. Most teachers recognize the importance of listening to complete the language proficiency of learners. Nevertheless, there are many difficulties in implementing effective methods for improving listening comprehension skills. In addition, there is a strong tendency not to consider listening as an autonomous field, but as a part of oral proficiency. In addition, we can not ignore the importance of the method of application, because it can motivate learners to both concentrate on their studies and to voluntarily participate in the course. In this sense, the Professors and teaching staff can use the examples of DELF to establish concrete goals for the course of listening. It is difficult to confirm that this study is the most effective way with regard to the methodology, but we hope it may be useful to improve the skills of listening comprehension French learners.

• Journal of The Korean Association of Information Education
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• v.23 no.4
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• pp.355-362
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• 2019

Elementary students are studying software training to teach coding education using text-based languages such as Python. In general, these higher-level languages support learning activities in combination with a kits for physical computing or various programming languages, in contrast to block-coding programming languages. In this study, we conducted a coding project based on computational thinking using the ARCS model to overcome the difficulties of text-based language. The results of the experiment show that students are generally confident and interested in programming. Especially, the understanding of repetition, function, and object was high in the change of computational thinking power, so this trend is believed to be due to the use of text-based languages and the Python module.

• Journal of Korean society of Dental Hygiene
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• v.19 no.5
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• pp.635-649
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• 2019

Objectives: This literature review seeks to identify the current status of the liberal arts education of dental hygiene majors offered by universities in Korea and the U.S. and provide a comparative analysis of the data on liberal arts education in both countries. Methods: From April 3, 2017 to May 1, 2017, research data on curriculum topics were collected from 60 selected universities. The data were collected from university websites, which also provided the universities' emails and dental hygiene major descriptions. We calculated the descriptive statistics of the variables and performed independent t-tests on the data. Results: In all the domains of the NCS and K-CESA, the dental hygiene major currently offers courses on language and communication and general education, focusing on self-management and development. Few universities offer subjects from other disciplines. Conclusions: Pro-actively exploring strategies is a prerequisite to the systematic operation of standardized dental hygiene education. It is imperative to conduct research consistently on relevant topics, such as teaching methods, general education standards, and connectivity between major subjects and the goals and effects of exposure to a general education.

• Research in Mathematical Education
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• v.22 no.1
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• pp.19-33
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• 2019

While the field of mathematics education strives to promote equitable mathematics learning and identifies it as a core instructional practice, less is known about its effective enactment. As teachers' teaching practices are dependent on their views and beliefs, this study investigated 133 elementary pre-service teachers' (PSTs') interpretations of diverse learners' learning experiences and proposed accommodations for them as reflected in their lesson planning process. Findings showed that PSTs came up with some strategies that are often suggested in teacher education literature, such as using multiple modes of representation and various grouping strategies. However, their responses were generic in nature rather than specific to diverse learners. Also, it was noted that many PSTs' interchangeably referred to the English Language Learners (ELLs), struggling learners, and culturally diverse learners, inferring that they thought that culturally diverse students must have been ELLs and that ELLs or culturally diverse students must have been weaker students in math. We found that the PSTs used their own frames while filtering and discarding information about diverse student populations to develop instructional plans, rather than based on the results of assessments of learning. We suggest that it is the critical first step to unwrap PSTs' unproven assumptions to better equip them for working with all of their future students.

• Phonetics and Speech Sciences
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• v.12 no.4
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• pp.19-25
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• 2020

This study examined thirty-one Korean students' pronunciation of an English passage using a speech recognition application, Speechnotes, and two Canadian raters' evaluations of their speech according to the International English Language Testing System (IELTS) band criteria to assess the possibility of using the application as a teaching aid for pronunciation education. The results showed that the grand average percentage of correctly recognized words was 77.7%. From the moderate recognition rate, the pronunciation level of the participants was construed as intermediate and higher. The recognition rate varied depending on the composition of the content words and the function words in each given sentence. Frequency counts of unrecognized words by group level and word type revealed the typical pronunciation problems of the participants, including fricatives and nasals. The IELTS bands chosen by the two native raters for the rainbow passage had a moderately high correlation with each other. A moderate correlation was reported between the number of correctly recognized content words and the raters' bands, while an almost a negligible correlation was found between the function words and the raters' bands. From these results, the author concludes that the speech recognition application could constitute a partial aid for diagnosing each individual's or the group's pronunciation problems, but further studies are still needed to match human raters.

• Asia Pacific Journal of Corpus Research
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• v.2 no.1
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• pp.35-45
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• 2021

With the wide spread of the Common European Framework of Reference (CEFR) scales, many studies attempt to apply them in routine teaching and rater training, while more evidence regarding criterial features at different CEFR levels are still urgently needed. The current study aims to explore complexity features that distinguish and predict CEFR proficiency levels in oral performance. Using a quantitative/corpus-based approach, this research analyzed lexical and syntactic complexity features over 80 transcriptions (includes A1, A2, B1 CEFR levels, and native speakers), based on an interview test, Standard Speaking Test (SST). ANOVA and correlation analysis were conducted to exclude insignificant complexity indices before the discriminant analysis. In the result, distinctive differences in complexity between CEFR speaking levels were observed, and with a combination of six major complexity features as predictors, 78.8% of the oral transcriptions were classified into the appropriate CEFR proficiency levels. It further confirms the possibility of predicting CEFR level of L2 learners based on their objective linguistic features. This study can be helpful as an empirical reference in language pedagogy, especially for L2 learners' self-assessment and teachers' prediction of students' proficiency levels. Also, it offers implications for the validation of the rating criteria, and improvement of rating system.

• Journal of Information Processing Systems
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• v.18 no.6
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• pp.719-728
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• 2022

The prediction of short-term traffic flow is the theoretical basis of intelligent transportation as well as the key technology in traffic flow induction systems. The research on short-term traffic flow prediction has showed the considerable social value. At present, the support vector regression (SVR) intelligent prediction model that is suitable for small samples has been applied in this domain. Aiming at parameter selection difficulty and prediction accuracy improvement, the artificial bee colony (ABC) is adopted in optimizing SVR parameters, which is referred to as the ABC-SVR algorithm in the paper. The simulation experiments are carried out by comparing the ABC-SVR algorithm with SVR algorithm, and the feasibility of the proposed ABC-SVR algorithm is verified by result analysis. Continuously, the simulation experiments are carried out by comparing the ABC-SVR algorithm with particle swarm optimization SVR (PSO-SVR) algorithm and genetic optimization SVR (GA-SVR) algorithm, and a better optimization effect has been attained by simulation experiments and verified by statistical test. Simultaneously, the simulation experiments are carried out by comparing the ABC-SVR algorithm and wavelet neural network time series (WNN-TS) algorithm, and the prediction accuracy of the proposed ABC-SVR algorithm is improved and satisfactory prediction effects have been obtained.