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Miguel Galeote; Natalia Arias-Trejo; Armando Q. Angulo-Chavira; Elena Checa – Journal of Child Language, 2024
Our main objective was to analyze the role of imageability in relation to the age of acquisition (AoA) of nouns and verbs in Spanish-speaking children with Down syndrome (DS) and their peers with typical development (TD). The AoA of nouns and verbs was determined using the MacArthur-Bates CDIs adapted to the profile of children with DS. The AoA…
Descriptors: Child Language, Language Acquisition, Nouns, Verbs
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Ke Hu; Ying Deng; Xiaobin Liu – RELC Journal: A Journal of Language Teaching and Research, 2024
High frequency words, which are key to a text, must be mastered to achieve minimum levels of reading proficiency. However, knowledge about the frequency of items in a language is very limited. Given this consideration, WordSift (www.wordsift.org), a word cloud tool based on high frequency and key words can assist English as a Foreign Language…
Descriptors: Word Frequency, English (Second Language), Second Language Learning, Second Language Instruction
Lin, Kimberly R.; Wisman Weil, Lisa; Thurm, Audrey; Lord, Catherine; Luyster, Rhiannon J. – Autism & Developmental Language Impairments, 2022
Background & aims: Throughout typical development, children prioritize different perceptual, social, and linguistic cues to learn words. The earliest acquired words are often those that are perceptually salient and highly imageable. Imageability, the ease in which a word evokes a mental image, is a strong predictor for word age of acquisition…
Descriptors: Autism Spectrum Disorders, Expressive Language, Visualization, Predictor Variables
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Hendrigan, Holly – Issues in Science and Technology Librarianship, 2019
Awareness of faculty research interests is an important aspect of a subject librarian's responsibilities. This paper illustrates the potential of Voyant Tools, an application in wide use among digital humanities researchers, to reveal word patterns in the research output of applied science faculty. A corpus of recent article citations from Web of…
Descriptors: College Faculty, Teacher Researchers, Humanities, Library Science
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Nakayama, Minoru; Mutsuura, Kouichi; Yamamoto, Hiroh – International Journal of Distance Education Technologies, 2016
Note contents taken by students during a blended learning course were evaluated, to improve the quality of university instruction. To conduct a quantitative comparison of the contents of all notes for effective instruction from lecturer to students to occur, the contents were mathematically compared and evaluated using two ways of summarizing the…
Descriptors: Foreign Countries, College Students, Notetaking, Student Evaluation
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Ochoa, Xavier; Suthers, Dan; Verbert, Katrien; Duval, Erik – Journal of Learning Analytics, 2014
Analyzing a conference, especially one as young and focused as LAK, provides the opportunity to observe the structure and contributions of the scientific community around it. This work will perform a Scientometric analysis, coupled with a more in-depth manual content analysis, to extract this insight from the proceedings and program of LAK 2013.…
Descriptors: Data Analysis, Data Collection, Conferences (Gatherings), Content Analysis
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Goh, Tiong T.; Sun, Pei-Chen – Journal of Information Systems Education, 2015
Unstructured data in social media is as part of the "big data" spectrum. Unstructured data in Social media can provide useful insights into social phenomena and citizen opinions, both of which are critical to government policy and businesses decisions. Teachers of business intelligence and analytics commonly use quantitative data from…
Descriptors: Foreign Countries, Social Media, Data Analysis, Natural Disasters
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Bandeen, Heather M.; Sawin, Jason E. – College Teaching, 2012
Instructors are always looking for new ways to engage students in reading assignments. The authors present a few techniques that rely on a web-based data visualization tool called Wordle (wordle.net). Wordle creates word frequency representations called word clouds. The larger a word appears within a cloud, the more frequently it occurs within a…
Descriptors: Reading Assignments, Visualization, Word Frequency, Information Retrieval
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McNaught, Carmel; Lam, Paul – Qualitative Report, 2010
A word cloud is a special visualization of text in which the more frequently used words are effectively highlighted by occupying more prominence in the representation. We have used Wordle to produce word-cloud analyses of the spoken and written responses of informants in two research projects. The product demonstrates a fast and visually rich way…
Descriptors: Word Frequency, Visual Aids, Internet, Focus Groups
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Baralt, Melissa; Pennestri, Susan; Selvandin, Marie – Language Learning & Technology, 2011
This paper introduces readers to Wordle, a data visualization tool, and describes how word clouds, or wordles generated by Wordle, were used in an action research project designed to facilitate the teaching of foreign language (FL) writing within a dual coding theoretical framework. Over the course of one semester, students in a third-semester…
Descriptors: Writing (Composition), Writing Strategies, Action Research, Second Language Learning
Hakuta, Kenji – Council of the Great City Schools, 2011
In developing a tool to help address academic language development, the author and his team began by identifying the challenges of presenting science text to English Language Learners and students who struggle with reading. The goal was to balance the practical and logistical challenges of identifying, teaching, and learning academic and content…
Descriptors: Scientific Concepts, Vocabulary, Science Teachers, Second Language Learning