Having a firm grasp of technical terms is essential for learners of Japanese for Specific Purposes (JSP). This research aims to analyze Japanese nursing care vocabulary based on objective corpus-based frequency and subjectively rated word familiarity. For this purpose, we constructed a text corpus centered on the National Examination for Certified Care Workers to extract nursing care keywords. The Log-Likelihood Ratio (LLR) was used as the statistical criterion for keyword identification, giving a list of 300 keywords as target words for a further word recognition survey. The survey involved 115 participants of whom 51 were certified care workers (CW group) and 64 were individuals from the general public (GP group). These participants rated the familiarity of the target keywords through crowdsourcing. Given the limited sample size, Bayesian linear mixed models were utilized to determine word familiarity rates. Our study conducted a comparative analysis of word familiarity between the CW group and the GP group, revealing key terms that are crucial for professionals but potentially unfamiliar to the general public. By focusing on these terms, instructors can bridge the knowledge gap more efficiently.
Online reviews offer valuable information to businesses by reflecting consumer experiences about their products and services. Two crucial aspects of online reviews are the topics consumers choose to address, and the sentiments expressed in their reviews. Building upon previous literature that shows online reviews are context-dependent, we employ the Expectation-Confirmation Theory (ECT) to examine the impact of topic distribution on review sentiment in South Korea and the U.S. during pre- and post-pandemic periods. After applying a topic modeling to Airbnb app review data, we measure the contribution of each topic on review sentiment using SHAP values. Our results indicate variations in topic distribution trends between 2018 and 2021. In addition, the order and magnitude of topics' impact on review sentiment change between pre- and post-pandemic periods for both countries. This study can help businesses understand how topics and sentiments associated with their products and services changed after the pandemic and thus identify areas of improvement.
The purpose of this research is to find the effect of the lesson using open-inquiry report Lubric on open-inquiry standard and science process skill; to find the change of cognition on open-inquiry for elementary school 5th grade students. Two classes (elementary school 5th grade) were selected which located in a small and medium-sized city for this research and they were separated as an experimental group and a comparative group. Open-inquiry lesson was done by referring teaching method which introduced through the curriculum. The procedure was understanding about open-inquiry, making open-inquiry subject, planning, and performing inquiry, mid-term, performing inquiry, making a report, presentation, and evaluation. Open-inquiry report Lubric which developed by Sook-Kyung Kim et al. (2010) was provided to the experimental group. Comparative group was instructed by using open-inquiry report which introduced to the elementary school 5th grade science text book. Interview paper was developed in order to check out the effect of the research by using a test paper of science process skill. The following could be found out through the research. After open-inquiry lesson, 10 open-inquiry reports(5 reports from experimental group, 5 reports from comparative group) have been drawn at random as samples from the total 62 sets (30 reports from experimental group, 32 reports from comparative group) and evaluated by a researcher and two elementary school teachers who have master degree. The reliability of the 3 scorers was 0.923 of mean correlation coefficient. And then the researcher evaluated all open-inquiry reports. The average score of open-inquiry report was 66.78 for experimental group, 54.27 for comparative group, respectively. And there was a significant difference at p<0.05 level as a result of the t-test. The experimental group rated high at p<0.05 level according to the analysis of post-science process skill test. According to the result of survey, both experimental group and comparative group had understood open-inquiry activity. It was especially rated high for experimental group on understanding scientific inquiry process, interest and satisfaction in open-inquiry and re-participation rate. By interviewing experimental group, it is recognized that the students utilized Lubric very well through the overall process. Finally, self-evaluation was done during open-inquiry activity and it was reported that the students gained more knowledge about science and changed to positive about science. As a result, the lesson using open-inquiry report Lubric was effective for students to improve writing skill of an open-inquiry report and science process skill and finally changed the cognition to positive about open-inquiry lesson.
This study employs text mining techniques to compare user responses across various Over-The-Top (OTT) service platforms. The primary objective of the research is to understand user satisfaction with OTT service platforms and contribute to the formulation of more effective review strategies. The key questions addressed in this study involve identifying prominent topics and keywords in user reviews of different OTT services and comprehending platform-specific user reactions. TF-IDF is utilized to extract significant words from positive and negative reviews, while BERTopic, an advanced topic modeling technique, is employed for a more nuanced and comprehensive analysis of intricate user reviews. The results from TF-IDF analysis reveal that positive app reviews exhibit a high frequency of content-related words, whereas negative reviews display a high frequency of words associated with potential issues during app usage. Through the utilization of BERTopic, we were able to extract keywords related to content diversity, app performance components, payment, and compatibility, by associating them with content attributes. This enabled us to verify that the distinguishing attributes of the platforms vary among themselves. The findings of this study offer significant insights into user behavior and preferences, which OTT service providers can leverage to improve user experience and satisfaction. We also anticipate that researchers exploring deep learning models will find our study results valuable for conducting analyses on user review text data.
Lactobacillus plantarum is a lactic acid bacterium that promotes animal intestinal health as a probiotic and is found in a wide variety of habitats. Here, we investigated the genomic features of different clusters of L. plantarum strains via pan-genomic analysis. We compared the genomes of 108 L. plantarum strains that were available from the NCBI GenBank database. These genomes were 2.9-3.7 Mbp in size and 44-45% in G+C content. A total of 8,847 orthologs were collected, and 1,709 genes were identified to be shared as core genes by all the strains analyzed. On the basis of SNPs from the core genes, 108 strains were clustered into five major groups (G1-G5) that are different from previous reports and are not clearly associated with habitats. Analysis of group-specific enriched or depleted genes revealed that G1 and G2 were rich in genes for carbohydrate utilization (${\text\tiny{L}}-arabinose$, ${\text\tiny{L}}-rhamnose$, and fructooligosaccharides) and that G3, G4, and G5 possessed more genes for the restriction-modification system and MazEF toxin-antitoxin. These results indicate that there are critical differences in gene content and survival strategies among genetically clustered L. plantarum strains, regardless of habitats.
Objectives: The purpose of the study was to develop a textbook of the integrated education of Korean food culture and language for married female immigrants. Methods: An analysis was conducted with the textbooks and researches for married female immigrants, and dietary life related contents were extracted. The contents were organized by activity oriented approach which is acquired the culture. The evaluation was conducted through depth interview with 6 married female immigrants through an analysis of the qualitative materials. Results: The text book comprised of 30 Korean food recipes with the target expressions and vocabularies. It also included Korean basic table setting, Korean table manner, main dishes and side dishes, basic cutting, seasoning and garnish, measure of the ingredients, symbolic food, regional food culture, choice of food ingredients, shopping, bargaining, taste expression, color expression, all sorts of spices, Korean traditional festival food, and seasonal customs and food. For intensifying communication, activity which is close to real life was added. Through cooking, married female immigrants expose words and sentence patterns and that allows to evaluate their level of understanding. We observed that the developed textbook is suited for married female immigrants' needs and cognitive level. The text book included a comparative study between Korean culture and their country's culture, which could provide the motive for accepting each other's cultures. The study showed how to develop a textbook that integrates Korean language education and Korean food culture and how to apply the textbook in real life. Conclusions: The correct understanding about Korean food culture could lead to improvements communication ability. Useful information which relates to Korean food, recipes, and food culture could increase daily life satisfaction. Conducting both cultural education and language education could increase the participation of married female immigrants in learning activities. Therefore this study could help these females to adapt Korean society and manage family dietary life effectively.
This paper aims to analyze lexical properties of keyword lists extracted from NLT Old Testament Corpus(NOTC), NLT New Testament Corpus(NNTC), and The NLT Bible Corpus(NBC) and identify that text dispersion keyness is more effective than corpus frequency keyness. For this purpose, NOTC including around 570,000 running words and NNTC about 200,000 were compiled after downloading the files from NLT website of Bible Hub. Scott's (2020) WordSmith 8.0 was utilized to extract keyword lists through comparing a target corpus and a reference corpus. The result demonstrated that text dispersion keyness showed lexical properties of keyword lists better than corpus frequency keyness and that the former was a superior measure for generating optimal keyword lists to fully meet content-generalizability and content distinctiveness.
This study has performed a comparative analysis between groups based on Time To First Fixation, Fixation Duration, Fixation Count and Total Visit Duration, which are eye-tracking analysis indicators on what visual attention is shown compared to the e-magazine produced as regular images related to e-magazines in which experiment subjects have applied cinemagraph images as eye tracking research on the e-magazine produced with cinemagraph images and e-magazines produced with regular images. The experiment sample used e-magazines composed of nine pages while AOI (area of interest) has been set up on each page by classifying image and text regions. A combined 30 people took part in the experiment, which was performed by randomly assigning 15 to the experiment group and 15 to the control group. According to the results of the analysis, the experiment group recorded a shorter time than the control group on the e-magazine produced with cinemagraph images through Time To First Fixation. Though no significant difference was found between the experiment and control groups in Fixation Duration, a substantial difference did appear between Fixation Duration and Total Visit Duration.
International Journal of Internet, Broadcasting and Communication
/
v.14
no.3
/
pp.85-90
/
2022
In this study, keywords from representative online portal sites such as NAVER, Google, and Youtube were collected based on text mining analysis technique using TEXTOM to check the changes in the restaurant industry before and after COVID-19. The collection keywords were selected as dining out, food service industry, and dining out culture. For the collected data, the top 30 words were derived, respectively, through the refinement process. In addition, comparative analysis was conducted by defining data from 2018 to 2019 before COVID-19, and from 2020 to 2021 after COVID-19. As a result, 8272 keywords before COVID-19 and 9654 keywords after COVID-19, a total of 17926 keywords, were derived. In order for the food service industry to develop after the COVID-19 pandemic, it is necessary to commercialize the recipes of restaurants to revitalize the distribution of home-use food products that replace home-cooked meals such as meal kits. Due to the social distancing caused by COVID-19, the dining out culture has changed and the trend has changed, and it has been confirmed that the consumption culture has changed to eating and delivering at home more safely than visiting restaurants. In addition, it has been confirmed that the consumption culture of existing consumers is changing to a trend of cooking at home rather than visiting restaurants.
Design textbooks for general education bring our attention to the education of design as a part of whole education. In this vein, this thesis tried to analyze and discuss on the current status of design education contents included in the 7th educational curriculum of the Art & Life. This study had a historical review of the contents of arts education as well as a review of theoretical contents in art education. Also this thesis analyzed five types of Art & Life text books currently used at high schools with weight given to the design and to the status of pictorial coverage in the text books. Finally, the thesis presented problems of design education through a comparative analysis of high school arts education and design education. Through the analysis, inequality of design contents in education was reported. It was clearly attributable to the backgrounds of text book writers. For example, authors with graphic design backgrounds tended to lack product and environment design concepts, while hand craft section of text books all showed a biased contents towards traditional Korean arts. In the analysis of pictorial coverage, similar to the composition of academic contents, coverage was concentrated in the graphic design areas; inequality in quantity of pictures found with a ratio of 1 to 4. In terms of areas of arts, design contents in text books were concentrated only in arts creation chapters among the 3 major areas of arts appreciation, understanding, and creation. Design education is attained in an atmosphere of creativity and the provision of ample teaching material. It is because diverse contents will generate the development of arts. When compared to design education curriculum of U.S. and Japan, these creativity put their focus of design education in the understanding and emotional contacts, so that every application is easily attained. In terms of expression learning, creativity and diversity of material are emphasized. From Kindergarten to middle, and high school periods, apparently the care contents of deign is emphasized. A textbook in the 7th education curriculum is one of the sources for education. In designing text books, learning process should be emphasized following subjects and natures of arts so that creativity can be achieved. Therefore, a systematic approach for design research and educational development for material would be needed in textbook design.
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