• Journal of Fisheries and Marine Sciences Education
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• v.23 no.1
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• pp.1-12
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• 2011

The purpose of this study was to examine the effects of inferential reading strategy program on text comprehension and Korean language academic achievements of vocational high school students. We developed the program of inferential reading strategy, applied it to an educational spot, and examined the effects of it on text comprehension ability and Korean language academic achievements of learners. ANCOVA was used for data analysis with SPSS ver.12.0 statistic program. The main findings of this study were as follows. First, the experimental group which had been conducted with the inferential reading strategy program showed statistically significant difference in their text comprehension ability from controlled group. Second, the experimental group showed statistically significant difference in their Korean language academic achievements ability from controlled group. The study shows that the inferential reading strategy program had effect on the text comprehension and Korean language academic achievements of vocational high school students.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.93-96
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• 2022

Natural language processing (NLP) is utilized to understand a natural text. Text analysis systems use natural language algorithms to find the meaning of large amounts of text. Text classification represents a basic task of NLP with a wide range of applications such as topic labeling, sentiment analysis, spam detection, and intent detection. The algorithm can transform user's unstructured thoughts into more structured data. In this work, a text classifier has been developed that uses academic admission and registration texts as input, analyzes its content, and then automatically assigns relevant tags such as admission, graduate school, and registration. In this work, the well-known algorithms support vector machine SVM and K-nearest neighbor (kNN) algorithms are used to develop the above-mentioned classifier. The obtained results showed that the SVM classifier outperformed the kNN classifier with an overall accuracy of 98.9%. in addition, the mean absolute error of SVM was 0.0064 while it was 0.0098 for kNN classifier. Based on the obtained results, the SVM is used to implement the academic text classification in this work.

• Perspectives in Nursing Science
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• v.16 no.1
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• pp.12-24
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• 2019

Purpose: This study examined the suitability of using text network analysis (TNA) methodology for topic analysis of academic papers related to nursing. Methods: TNA background theories, software programs, and research processes have been described in this paper. Additionally, the research methodology that applied TNA to the topic analysis of the academic nursing papers was analyzed. Results: As background theories for the study, we explained information theory, word co-occurrence analysis, graph theory, network theory, and social network analysis. The TNA procedure was described as follows: 1) collection of academic articles, 2) text extraction, 3) preprocessing, 4) generation of word co-occurrence matrices, 5) social network analysis, and 6) interpretation and discussion. Conclusion: TNA using author-keywords has several advantages. It can utilize recognized terms such as MeSH headings or terms chosen by professionals, and it saves time and effort. Additionally, the study emphasizes the necessity of developing a sophisticated research design that explores nursing research trends in a multidimensional method by applying TNA methodology.

• Asia pacific journal of information systems
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• v.29 no.4
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• pp.615-643
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• 2019

Now is the time for IS scholars to demonstrate the added value of academic theory through its integration with text mining, clearly outline how to implement this for text mining experts outside of the academic field, and move towards establishing this integration as a standard practice. Therefore, in this study we develop a systematic theory-based text-mining framework (TTMF), and illustrate the use and benefits of TTMF by conducting a text-mining project in an actual business case evaluating and improving hotel service quality using a large volume of actual user-generated reviews. A total of 61,304 sentences extracted from actual customer reviews were successfully allocated to SERVQUAL dimensions, and the pragmatic validity of our model was tested by the OLS regression analysis results between the sentiment scores of each SERVQUAL dimension and customer satisfaction (star rates), and showed significant relationships. As a post-hoc analysis, the results of the co-occurrence analysis to define the root causes of positive and negative service quality perceptions and provide action plans to implement improvements were reported.

• Journal of Korean language education
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• v.28 no.2
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• pp.235-264
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• 2017

The purpose of this study is to explore and categorize the rhetorical strategies of text construction in research articles and to provide data for academic writing education for foreign graduate students. This study analyzes 30 research articles by Korean writers from Korean language and Korean language education fields, and categorizes the rhetorical strategies according to the roles of the writer as a RA form composer, a manager of research content, and a communicator. On the basis of the strategies, this study analyzes 18 term papers of foreign graduate students and inspects their weaknesses in using the rhetorical strategies. Based on the results of analysis, this study suggests rhetorical strategy education for KAP learners that emphasizes validity and clarifies argument along with attracting readers.

• Journal of the Korean Society of Earth Science Education
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• v.7 no.1
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• pp.34-42
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• 2014

The purpose of this study was to examine the effects on the effects of science lessons using six thinking hats techniques on creativity and science academic achievement. To verify the research problem, the subject of this study was fourth-grade students selected from four classes of an elementary school located in Busan. For ten weeks, the experimental group of 40 students was taught using the six thinking hats techniques. The comparative group also of 40 students, was taught in normal classes which used a Text-book. Children were given a creativity test and academic achievement test in science to measure the effects on six thinking hats techniques. Likert scales were used to gather students feedbacks on creativity and science academic achievement. Through these procedures, the following results were obtained: First, the six thinking hats techniques had a more effect on creativity than the normal classes, where a text-book was used. Second, the six thinking hats techniques could be seen to be effective in improving the student's academic achievements in science than the normal classes which used a Text-book. Third, the result of the student recognition investigation, we could know that the students showed lots of interest in the science lessons using six thinking hats techniques, and they were able to understand the scientific theories. As a result, the elementary science class with six thinking hats techniques had the effects of developing creativity and science academic achievement. It means the science class with six thinking hats techniques has potential possibilities and value to develop creativity and science academic achievement.

• Journal of the Korean Society of Earth Science Education
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• v.7 no.2
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• pp.192-202
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• 2014

The purpose of this study was to examine the effects of science lessons using mind mapping on creativity and academic achievement in science. The subjects of this study were fifth-grade students selected from four classes of an elementary school located in Busan. For ten weeks, the experimental group of 40 students were taught using the mind mapping technique. The comparative group, also of 40 students, was taught in normal classes which used a standard text-book. Children were given a test on science processing skills and academic achievement in science to measure the effects of mind mapping. The Likert scales were used to gather student's feedback on creativity and academic achievement in science. Through these procedures, the following results were obtained: First, mind mapping had a greater effect on science processing skills than the normal classes, where a text-book was used. Second, mind mapping was effective in improving the student's academic achievements in science at a greater level than the normal classes where a text-book was used. Third, after viewing results of the Student Recognition Investigation, we found that the students showed a higher level of interest in science lessons that used mind mapping, and were better able to understand the scientific theories. As a result, the elementary science class with mind mapping developed greater science processing skills and saw higher academic achievement in science. We conclude that science classes that use mind mapping have the potential to develop better science processing skills and improve academic achievement in science.

• Korean Journal of Radiology
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• v.24 no.10
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• pp.952-959
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• 2023

Large language models (LLMs) such as ChatGPT have garnered considerable interest for their potential to aid non-native English-speaking researchers. These models can function as personal, round-the-clock English tutors, akin to how Prometheus in Greek mythology bestowed fire upon humans for their advancement. LLMs can be particularly helpful for non-native researchers in writing the Introduction and Discussion sections of manuscripts, where they often encounter challenges. However, using LLMs to generate text for research manuscripts entails concerns such as hallucination, plagiarism, and privacy issues; to mitigate these risks, authors should verify the accuracy of generated content, employ text similarity detectors, and avoid inputting sensitive information into their prompts. Consequently, it may be more prudent to utilize LLMs for editing and refining text rather than generating large portions of text. Journal policies concerning the use of LLMs vary, but transparency in disclosing artificial intelligence tool usage is emphasized. This paper aims to summarize how LLMs can lower the barrier to academic writing in English, enabling researchers to concentrate on domain-specific research, provided they are used responsibly and cautiously.

• The Journal of Korean Medical History
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• v.17 no.2
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• pp.3-25
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• 2004

This study is aimed at grouping the academic lines of Korean Oriental Medicine into academic schools. The standard that can be used to classify the academic schools of Korean Oriental Medicine is first of all, identical theory; secondly, similar trend in compiling medical text; and thirdly, having the same individual body of theory. In this paper, based on these three criterion, the lines have been divided into 15 academic schools.

• Journal of the Korean Society of Earth Science Education
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• v.3 no.2
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• pp.109-117
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• 2010

The purpose of this study is to examine the effect of higher grades in elementary the science process skill, academic achievement and teaching learining perception by Digital Text-book in elementary science lesson. To verify research problem, the subject of this study were sixth-grade students selected from two classes of an elementary school located in Ulsan : the experimental group is composed of thirty-one students who were participated in Digital Text-book, and the other is composed of thirty students(comparison group) who were participated in teacher map based learning situation. During eight weeks, Digital Text-book instruction was executed in th experimental group while the teacher map based instruction in controled group Post-test showed following results: First, the experimental group showed a significant improvement in the science process skill compared the comparison group. Second, the experimental group did not showed a significant improvement in the Acdemic Achievement compared th the control group. Third, the experimental group showed a significant improvement in the teaching learning perception compared the comparison group. In conclusion, Digital text-book model was more effective than the teacher map based teaching model on science process skill and teaching-learning perception. However, since the study has a limit on an objet of the study and the applied curriculum, the additional studies need to be conducted with an extended comparative group and curriculum.