• Title/Summary/Keyword: Academic Text

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The Effect of e-Learning Contents' Information Presentation Method on Teaching Presence and Academic Achievement (e-러닝 콘텐츠의 정보제시방식이 교수실재감 및 학업성취도에 미치는 효과)

  • Kim, Jinha;Kim, Kyunghee;Lee, Seongju
    • The Journal of Korean Association of Computer Education
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    • v.22 no.3
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    • pp.79-87
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    • 2019
  • This study examined the effect of e-learning contents with different dual-coding, media-richness, and cognitive-load degree on learning. To do so, after dividing summary and explanation presentation methods in e-learning contents according to information's quantity and kind, the effects on teaching presence and academic achievement were examined. The summary presentation method was produced as text type and text+illustration type and the explanation presentation method as audio type and audio+video type. The results of this study are as follows. First, in the summary method, the text+illustration type had significantly higher teaching presence than text type. Second, in the explanation method, the audio type was found to be significantly higher than the audio+video type. Third, the interaction between the summary method and explanation method was found to be significant in teaching presence and academic achievement.

Gender-Based Differences in Expository Language Use: A Corpus Study of Japanese

  • Heffernan, Kevin;Nishino, Keiko
    • Asia Pacific Journal of Corpus Research
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    • v.1 no.2
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    • pp.1-14
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    • 2020
  • Previous work has shown that men both explain and value the act of explaining more than women, as explaining conveys expertise. However, previous studies are limited to English. We conducted an exploratory study to see if similar patterns are seen amongst Japanese speakers. We examined three registers of Japanese: conversational interviews, simulated speeches, and academic presentations. For each text, we calculated two measures: lexical density and the percentage of the text written in kanji. Both are indicators of expository language. Men produced significantly higher scores for the interviews and speeches. However, the results for the presentations depend on age and academic field. In fields in which women are the minority, women produce higher scores. In the field in which men are the minority, younger men produced higher scores but older men produced lower scores than women of the same age. Our results show that in academic contexts, the explainers are not necessarily men but rather the gender minority. We argue that such speakers are under social pressure to present themselves as experts. These results show that the generalization that men tend to explain more than women does not always hold true, and we urge more academic work on expository language.

Evaluating AI Techniques for Blind Students Using Voice-Activated Personal Assistants

  • Almurayziq, Tariq S;Alshammari, Gharbi Khamis;Alshammari, Abdullah;Alsaffar, Mohammad;Aljaloud, Saud
    • International Journal of Computer Science & Network Security
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    • v.22 no.1
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    • pp.61-68
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    • 2022
  • The present study was based on developing an AI based model to facilitate the academic registration needs of blind students. The model was developed to enable blind students to submit academic service requests and tasks with ease. The findings from previous studies formed the basis of the study where functionality gaps from the literary research identified by blind students were utilized when the system was devised. Primary simulation data were composed based on several thousand cases. As such, the current study develops a model based on archival insight. Given that the model is theoretical, it was partially applied to help determine how efficient the associated AI tools are and determine how effective they are in real-world settings by incorporating them into the portal that institutions currently use. In this paper, we argue that voice-activated personal assistant (VAPA), text mining, bag of words, and case-based reasoning (CBR) perform better together, compared with other classifiers for analyzing and classifying the text in academic request submission through the VAPA.

Effects of satisfaction with major and academic self-efficacy on academic persistence of students in health-related fields (보건계열 대학생의 전공만족도, 학업적 자기효능감이 학업지속의향에 미치는 영향)

  • Danbee, Lee;Jinyoung, Kim;Bohee, Song;Junghee, Park
    • The Korean Journal of Emergency Medical Services
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    • v.26 no.3
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    • pp.93-104
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    • 2022
  • Purpose: This study examined the correlation between satisfaction with major, academic self-efficacy, and academic persistence with the general characteristics of students in a health-related field, to determine factors that affect academic persistence. Methods: The study was conducted on third- and fourth-grade health-field students at Daejion. The questionnaire consisted of a self-report, and a URL was sent by text message to students who agreed to participate after reading the purpose and necessity of the study. Results: Major satisfaction was 4.23 on average, academic self-efficacy was 4.15, and academic continuity was 4.25. Grade and school life satisfaction were the factors correlated with a significant difference in academic persistence. Significant positive correlations were seen between satisfaction with major (r=.637, p<.001) and academic self-efficacy (r=.563, p<.001); higher major satisfaction and academic self-efficacy led to higher academic persistence. Conclusion: A more systematic management approach needs to be conducted by developing active learning participation and applying customized counseling management and support programs by grade to improve the academic self-efficacy and academic persistence of students in health-related fields.

Establishment of database on ${\ulcorner}$Euibangyoochui醫方類聚${\lrcorner}$ ("의방유취(醫方類聚)" 의 데이터베이스 구축 방안)

  • Ahn, Sang-Woo;Shin, Soon-Shik;Lee, Jae-Won
    • Korean Journal of Oriental Medicine
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    • v.4 no.1 s.4
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    • pp.27-45
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    • 1998
  • $\ulcorner$Euibangyoochui醫方類聚$\lrcorner$ (1445) is regarded as a treasure-house of the knowledge of traditional oriental medicine which contains over 50,000 prescriptions and enormerous amount of medical information. Despite the importance and information contained in this book, it has been rarely used since it was not convenient to use this book. In this study, therefore, the establishment of database on $\ulcorner$Euibangyoochui$\lrcorner$ was carried out. Before the database establishment of $\ulcorner$Euibangyoochui$\lrcorner$ , basic works such as correction, interpretation, proofreading and translation of original text should be done. The results obtained in this study are summaried as follows : 1) During the course of studying the original text of $\ulcorner$Euibangyoochui$\lrcorner$ , the editing process and transmission of medical books in early Chosun dynasty was figured out. 2) For better correction, interpretation, proofreading and translation of $\ulcorner$Euibangyoochui$\lrcorner$ , $\ulcorner$Euibangyoochui$\lrcorner$ microfilms which are the collection of Japanese Royal Library (宮內廳 圖書寮) were obtained in this study. Through this process, the errors in the republication were able to be corrected. 3) Analyzing the organization and compilatory method of $\ulcorner$Euibangyoochui$\lrcorner$ is one of the basic requirements of understanding the scale of the whole. book and establishing database as a result. So the analysis results were used for the basic structuring of database. 4) $\ulcorner$Euibangyoochui$\lrcorner$ CD- ROM was designed in a way that the images of microfilms, original text and Korean translation can be compared by 3-D device. In addition, the convenience and proficiency of imaging the information and prescriptions of the text is one of the remarkable features of this CD-ROM.

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Building a text collection for Urdu information retrieval

  • Rasheed, Imran;Banka, Haider;Khan, Hamaid M.
    • ETRI Journal
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    • v.43 no.5
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    • pp.856-868
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    • 2021
  • Urdu is a widely spoken language in the Indian subcontinent with over 300 million speakers worldwide. However, linguistic advancements in Urdu are rare compared to those in other European and Asian languages. Therefore, by following Text Retrieval Conference standards, we attempted to construct an extensive text collection of 85 304 documents from diverse categories covering over 52 topics with relevance judgment sets at 100 pool depth. We also present several applications to demonstrate the effectiveness of our collection. Although this collection is primarily intended for text retrieval, it can also be used for named entity recognition, text summarization, and other linguistic applications with suitable modifications. Ours is the most extensive existing collection for the Urdu language, and it will be freely available for future research and academic education.

Does Cloned Template Text Compromise the Information Integrity of a Paper, and is it a New Form of Text Plagiarism?

  • Jaime A. Teixeira da Silva
    • International Journal of Knowledge Content Development & Technology
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    • v.13 no.2
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    • pp.23-35
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    • 2023
  • Word templates exist for select journals, and their primary objective is to facilitate submissions to those journals, thereby optimizing editors' and publishers' time and resources by ensuring that the desired style (e.g., of sections, references, etc.) is followed. However, if multiple unrelated authors use the exact same template, a risk exists that some text might be erroneously cloned if template-based papers are not carefully screened by authors, journal editors or proof copyeditors. Elsevier Procedia® was used as an example. Select cloned text, presumably derived from MS Word templates used for submissions to Elsevier Procedia® journals, was assessed using Science Direct. Typically, in academic publishing, identical text is screened using text similarity software during the submission process, and if detected, may be flagged as plagiarism. After searching for "heading should be left justified, bold, with the first letter capitalized", 44 Elsevier Procedia® papers were found to be positive for vestigial template text. The integrity of the information in these papers has been compromised, so these errors should be corrected with an erratum, or in the case of extensive errors and vast tracts (e.g., pages long) of template text, papers should be retracted and republished.

Citation-based Article Summarization using a Combination of Lexical Text Similarities: Evaluation with Computational Linguistics Literature Summarization Datasets

  • Kang, In-Su
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.7
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    • pp.31-37
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    • 2019
  • Citation-based article summarization is to create a shortened text for an academic article, reflecting the content of citing sentences which contain other's thoughts about the target article to be summarized. To deal with the problem, this study introduces an extractive summarization method based on calculating a linear combination of various sentence salience scores, which represent the degrees to which a candidate sentence reflects the content of author's abstract text, reader's citing text, and the target article to be summarized. In the current study, salience scores are obtained by computing surface-level textual similarities. Experiments using CL-SciSumm datasets show that the proposed method parallels or outperforms the previous approaches in ROUGE evaluations against SciSumm-2017 human summaries and SciSumm-2016/2017 community summaries.

Citation Practices in Academic Corpora: Implications for EAP Writing

  • Min, Su-Jung
    • English Language & Literature Teaching
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    • v.10 no.3
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    • pp.113-126
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    • 2004
  • Explicit reference to the work of other authors is an essential feature of most academic research writings. Corpus analysis of academic text can reveal much about what writers actually do and why they do so. Application of corpus tools in language education has been well documented by many scholars (Pedersen, 1995, Swales, 1990, Thompson, 2000). They demonstrate how computer technology can assist in the effective analysis of corpus based data. For teaching purposes, tills recent research provides insights in the areas of English for Academe Purposes (EAP). The need for such support is evident when students have to use appropriate citations in their writings. Using Swales' (1990) division of citation forms into integral and non-integral and Thompson and Tnbble's (2001) classification scheme, this paper codifies academic texts in a corpus. The texts are academic research articles from different disciplines. The results lead into a comparison of the citation practices m different disciplines. Finally, it is argued that the information obtained in this study is useful for EAP writing courses in EFL countries.

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Ethical Fashion Research Trend Using Text Mining: Network Analysis of the Published Literature 2009-2019 (텍스트 마이닝을 활용한 윤리적 패션 연구동향: 2009-2019 연구 네트워크 분석)

  • Choi, Yeong-Hyeon;Lee, Kyu-Hye
    • Fashion & Textile Research Journal
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    • v.22 no.2
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    • pp.181-191
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    • 2020
  • The fashion industry has faced environmental, social, and ethical issues due to increased interest in ethical consumption. Numerous ethical studies have been conducted in the fashion industry. This study looked at the current state of research by year, academic journal, and detail in major related papers published in Scopus, KCI and KCI between 2009 and 2019. Ethical fashion studies began to appear in 2009 and were concentrated in certain academic journals and focused on fashion marketing and fashion design. Topics in ethical fashion were terms such as sustainable, eco-friendly, up-cycling, recycling, eco, zero-waist, and organic. In ethical fashion studies, environmental studies were conducted most often; in addition, the terms used along with ethical fashion tend to be frequently used for each particular major. Looking at key words used in research by period, the study showed that research was most diverse between 2016 and 2019. In particular, environmental and social issues of ethical fashion and convergence with animal protection, new distribution, science and technology sectors were newly added between 2016 and 2019. This study used text mining and network analysis to understand the overall trends of ethical fashion studies in Korea. In conclusion it is important to realize the relationship between the main words along with the current status analysis.