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Showing all 15 results Save | Export
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Johnson, Jillian C.; Olney, Andrew M. – International Educational Data Mining Society, 2022
Typical data science instruction uses generic datasets like survival rates on the Titanic, which may not be motivating for students. Will introducing real-life data science problems fill this motivational deficit? To analyze this question, we contrasted learning with generic datasets and artificial problems (Phase 1) with a community-sourced…
Descriptors: Data, Data Analysis, Interdisciplinary Approach, Student Motivation
Hodges, Jaret; Simonsen, Mary; Ottwein, Jessica K. – Gifted Child Quarterly, 2022
Social media continues to be an ever-present part of people's lives. One of the largest social media websites, Reddit has more than 430 million unique visitors monthly. What is unknown to scholars is how gifted education fits into this modern form of communication. In our research, we examined how gifted education is discussed over Reddit using…
Descriptors: Gifted, Gifted Education, Social Media, Web Sites
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Giczela-Pastwa, Justyna – Interpreter and Translator Trainer, 2021
Evidence from the contemporary translation services market and many centuries of translation practice demonstrate that translation into a non-native language (L2 translation) can be performed effectively, despite the once-strong resistance to it on the grounds of it being perceived as unprofessional and inherently deficient. L2 translation is in…
Descriptors: Translation, Phrase Structure, Second Languages, Data Analysis
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Hirata, Yoko; Thompson, Paul – ELT Journal, 2022
With the development of language corpora, linguists have been able to identify how often specific words, phrases, and expressions are used, and in which contexts. However, applications of corpora in the wider domain of language teaching have remained limited. This article presents an approach to utilizing corpora, combining principles from…
Descriptors: Computational Linguistics, Teaching Methods, Action Research, Communicative Competence (Languages)
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Abney, Alexandra K.; Cook, Laurel A.; Fox, Alexa K.; Stevens, Jennifer – Journal of Marketing Education, 2019
The popularity of social media among students and practitioners has encouraged marketing educators to find ways to incorporate social media into their classrooms. We offer results from an intercollegiate collaboration that provides an innovative learning environment through a social media education ecosystem. Participating students discuss current…
Descriptors: Social Media, College Students, College Faculty, Educational Innovation
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Kim, Miso – English Teaching, 2020
The purpose of this study was to analyze six English as a Foreign Language (EFL) learners' trajectories of discriminating near-synonyms in a data-driven learning task. Since the learners find it considerably difficult to learn subtle meaning differences of near-synonyms, corpus-based data-driven learning may provide an opportunity for them to…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Task Analysis
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Fahler, Valentina; Bazerman, Charles – Across the Disciplines, 2019
This study examines the intellectual consequences of writing about data in relation to disciplinary concepts. We collected and studied written assignments from sixteen students in which they had to analyze data provided by the instructor in a general education linguistics course. We also surveyed them at the beginning, middle, and end of the…
Descriptors: Writing Assignments, Prior Learning, Language Attitudes, Teacher Attitudes
Xu, Wei – ProQuest LLC, 2014
Our language changes very rapidly, accompanying political, social and cultural trends, as well as the evolution of science and technology. The Internet, especially the social media, has accelerated this process of change. This poses a severe challenge for both human beings and natural language processing (NLP) systems, which usually only model a…
Descriptors: Data Analysis, Language Variation, Natural Language Processing, Computational Linguistics
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Dowell, Nia M. M.; Graesser, Arthur C.; Cai, Zhiqiang – Journal of Learning Analytics, 2016
The goal of this article is to preserve and distribute the information presented at the LASI (2014) workshop on Coh-Metrix, a theoretically grounded, computational linguistics facility that analyzes texts on multiple levels of language and discourse. The workshop focused on the utility of Coh-Metrix in discourse theory and educational practice. We…
Descriptors: Discourse Analysis, Workshops, Computational Linguistics, Guidelines
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Epp, Carrie Demmans; Phirangee, Krystle; Hewitt, Jim – Journal of Learning Analytics, 2017
Identifying which online behaviours and interactions are associated with student perceptions of being supported will enable a deeper understanding of how those activities contribute to learning experiences. Student language is one aspect of their interaction in need of greater exploration within discourse-based online learning environments. As a…
Descriptors: Student Behavior, Computer Mediated Communication, Form Classes (Languages), Language Usage
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Schneider, Bertrand; Pea, Roy – Journal of Learning Analytics, 2015
In a previous study, we found that real-time mutual gaze perception (i.e., being able to see the gaze of your partner in real time on a computer screen while solving a learning task) had a positive effect on student collaboration and learning (Schneider & Pea, 2013). The goals of this paper are (1) to explore a variety of computational…
Descriptors: Eye Movements, Computer Mediated Communication, Discussion (Teaching Technique), Predictor Variables
Altrabsheh, Nabeela; Cocea, Mihaela; Fallahkhair, Sanaz – International Educational Data Mining Society, 2015
Teachers/lecturers typically adapt their teaching to respond to students' emotions, e.g. provide more examples when they think the students are confused. While getting a feel of the students' emotions is easier in small settings, it is much more difficult in larger groups. In these larger settings textual feedback from students could provide…
Descriptors: Feedback (Response), Social Media, Emotional Response, Teaching Methods
Miron, Murray S. – 1973
The report is a frequency analysis of vocabulary and sentence patterns in the English language. The corpora used are a media sample, a discussion session, elicited sentences, and words elicited for frame sentences. The outputs are the following frequency tables: (1) Semantic frequency of combined corpus (media, discussion, elicited sentences)…
Descriptors: Computational Linguistics, Data Analysis, English, Etymology
Sukle, Robert J.; And Others – 1973
The report is a frequency analysis of vocabulary and sentence patterns in the Japanese language. The corpora used are a media sample, a discussion session, elicited sentences, and words elicited for frame sentences. The outputs are the following frequency tables: (1) semantic frequency of combined corpus (media, discussion, elicited sentences)…
Descriptors: Computational Linguistics, Data Analysis, Etymology, Japanese
Rubama, Ibrahim; And Others – 1973
The report is a frequency analysis of vocabulary and sentence patterns in the Swahili language. The corpora used are a media sample, a discussion session, elicited sentences, and words elicited for frame sentences. The outputs are the following frequency tables: (1) semantic frequency of combined corpus (media, discussion, elicited sentences)…
Descriptors: Computational Linguistics, Data Analysis, Etymology, Language Usage