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Jie Li; Fei Lin; Tianxi Duan – Education and Information Technologies, 2024
Online reading has become an essential part of our life. Online reading has emerged as an active interdisciplinary field of scientific study in the past two decades. In order to develop a global view of the area, we conducted a bibliometric study on 7486 articles retrieved from WoS and Scopus databases published from 2004 to 2023. We analyzed the…
Descriptors: Bibliometrics, Trend Analysis, Reading, Internet
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Fata, Ika Apriani; Yusuf, Yunisrina Qismullah; Kamal, Rahmat; Namaziandost, Ehsan – Journal of Language and Linguistic Studies, 2021
Suicide notes are messages left by individuals who commit suicide or who intend to commit suicide. These written messages express the victims' feelings that were not expressed when they were alive. And thus, this qualitative study intends to investigate the characteristics of linguistic features of suicide notes written by eleven male well-known…
Descriptors: Suicide, Letters (Correspondence), Victims, Discourse Analysis
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Ukonu, Michael O.; Ohaja, Edith U.; Okeke, Somtochukwu V.; Okwumbu, Ruth O. – Cogent Education, 2021
The replacement of Times New Roman (TNR--serif) with Calibri (sans serif) as default typeface on Microsoft Office Word reflects the growing prevalence of screen-based reading. The change also points to a festering conflict in the literature on the readability and legibility of serif and sans serif typefaces in print and computer-based platforms.…
Descriptors: Layout (Publications), Printing, Visual Literacy, Visual Stimuli
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Karchmer-Klein, Rachel; Shinas, Valerie Harlow – Journal of Research in Reading, 2019
Background: The purpose of this study was to examine how skilled adolescent readers draw on their prior knowledge of multimodality and narrative text structure when navigating an intentionally designed digital narrative text. We know that skilled middle-school readers have been taught narrative text structure and that adolescents who use the…
Descriptors: Adolescents, Middle School Students, Navigation, Prior Learning
Rosario, Ryan Robert – ProQuest LLC, 2017
Text classification typically performs best with large training sets, but short texts are very common on the World Wide Web. Can we use resampling and data augmentation to construct larger texts using similar terms? Several current methods exist for working with short text that rely on using external data and contexts, or workarounds. Our focus is…
Descriptors: Classification, Models, Semantics, Electronic Publishing