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Yushan Ke – CALICO Journal, 2024
Phraseology has been flourishing in the field of English writing studies in recent years. However, the focus has primarily been on items with less variability, such as ngrams or lexical bundles. To address this gap, this study investigates concgrams (Cheng et al., 2006), which encompass both constituency and positional variations, in advanced…
Descriptors: Equivalency Tests, High School Equivalency Programs, Writing Tests, Phrase Structure
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Rafael Ferreira Mello; Elyda Freitas; Luciano Cabral; Filipe Dwan Pereira; Luiz Rodrigues; Mladen Rakovic; Jackson Raniel; Dragan Gaševic – Journal of Learning Analytics, 2024
Learning analytics (LA) involves the measurement, collection, analysis, and reporting of data about learners and their contexts, aiming to understand and optimize both the learning process and the environments in which it occurs. Among many themes that the LA community considers, natural language processing (NLP) algorithms have been widely…
Descriptors: Literature Reviews, Learning Analytics, Natural Language Processing, Data Collection
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Maria Goldshtein; Jaclyn Ocumpaugh; Andrew Potter; Rod D. Roscoe – Grantee Submission, 2024
As language technologies have become more sophisticated and prevalent, there have been increasing concerns about bias in natural language processing (NLP). Such work often focuses on the effects of bias instead of sources. In contrast, this paper discusses how normative language assumptions and ideologies influence a range of automated language…
Descriptors: Language Attitudes, Computational Linguistics, Computer Software, Natural Language Processing
Kaiying Lin – ProQuest LLC, 2024
The field of Linguistics has long been interested in the verb meanings of intransitive verbs and their argument structure, specifically the breakdown of intransitive verbs into unaccusative and unergative verb types. Despite extensive research, a universally applicable explanation for this breakdown remains elusive due in part to the variability…
Descriptors: Mandarin Chinese, Second Language Learning, Second Language Instruction, Semantics
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Aakriti Kumar; Aaron S. Benjamin; Andrew Heathcote; Mark Steyvers – npj Science of Learning, 2022
Practice in real-world settings exhibits many idiosyncrasies of scheduling and duration that can only be roughly approximated by laboratory research. Here we investigate 39,157 individuals' performance on two cognitive games on the Lumosity platform over a span of 5 years. The large-scale nature of the data allows us to observe highly varied…
Descriptors: Comparative Analysis, Computational Linguistics, Learning Processes, Computer Games
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Tawffeek A. S. Mohammed – Qualitative Research Journal, 2025
Purpose: This study adopts a qualitative approach to a critical media analysis of the multifaceted aspects of child marriage in the Yemeni context as an example of the broader Arab context. It seeks to provide a deeper understanding of the current situation, underlying causes and consequences of child marriage, as well as efforts to curb the…
Descriptors: Children, Marriage, Computational Linguistics, Mass Media
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Isaac L. Bleaman; Chaya R. Nove – Language Documentation & Conservation, 2025
We introduce the Corpus of Spoken Yiddish in Europe (CSYE), an Open Access digital language archive based on several hundred testimony interviews with Holocaust survivors from the USC Shoah Foundation. The testimonies are a uniquely rich source of information on all aspects of European Yiddish: its regional dialects, grammatical structures,…
Descriptors: Computational Linguistics, German, Dialects, Language Styles
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Susana Castro-Kemp; Peter Kemp – Journal of Early Childhood Research, 2025
High-quality early childhood education is key for children's positive and long-term outcomes. Countries differ on how they quality assure provision. In England, Ofsted is the independent inspection body, often the source of controversy for lack of transparency in ratings. However, there is a dearth of evidence on how inspectors' judgements are…
Descriptors: Inspection, Early Childhood Education, Child Development, Educational Quality
Bryan R. Drost; Char Shryock – Phi Delta Kappan, 2025
Creating assessment questions aligned to standards is a time-consuming task for teachers, but large language models such as ChatGPT can help. Bryan Drost & Char Shryock describe a three-step process for using ChatGPT to create assessments: 1) Ask ChatGPT to break standards into measurable targets. 2) Determine how much time to spend on each…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
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Pearl, Lisa; Sprouse, Jon – Language Acquisition: A Journal of Developmental Linguistics, 2021
We investigate concrete acquisition theories for a derived approach to linking theory development and explore to what extent two prominent linking theories in the syntactic literature--UTAH and rUTAH--can be derived from the data that English-learning children encounter. We leverage a conceptual acquisition framework that specifies key aspects of…
Descriptors: Language Acquisition, Linguistic Theory, Syntax, Linguistic Input
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Zhang, Haoran; Litman, Diane – Grantee Submission, 2021
Human essay grading is a laborious task that can consume much time and effort. Automated Essay Scoring (AES) has thus been proposed as a fast and effective solution to the problem of grading student writing at scale. However, because AES typically uses supervised machine learning, a human-graded essay corpus is still required to train the AES…
Descriptors: Essays, Grading, Writing Evaluation, Computational Linguistics
Ruseti, Stefan; Dascalu, Maria-Dorinela; Corlatescu, Dragos-Georgian; Dascalu, Mihai; Trausan-Matu, Stefan; McNamara, Danielle S. – Grantee Submission, 2021
Dialogism is a philosophical theory centered on the idea that life involves a dialogue among multiple voices in a continuous exchange and interaction. Considering human language, different ideas or points of view take the form of voices, which spread throughout any discourse and influence it. From a computational point of view, voices can be…
Descriptors: Dialogs (Language), Computational Linguistics, Semantics, Models
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Spijker, Laura; Oomen, Marloes – Sign Language Studies, 2023
We present one of the first detailed studies on hesitation marking in a sign language. Based on the analysis of a set of monologues and dialogues from the "Corpus NGT" (Crasborn and Zwitserlood 2008; Crasborn, Zwitserlood, and Ros 2008), we describe the form and position of manual and nonmanual markers of hesitation in Sign Language of…
Descriptors: Sign Language, Cues, Computational Linguistics, Eye Movements
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Wang, Heqiao; Troia, Gary A. – Written Communication, 2023
The primary purpose of this study is to investigate the degree to which register knowledge, register-specific motivation, and diverse linguistic features are predictive of human judgment of writing quality in three registers--narrative, informative, and opinion. The secondary purpose is to compare the evaluation metrics of register-partitioned…
Descriptors: Writing Evaluation, Essays, Elementary School Students, Grade 4
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Bitzenbauer, Philipp – Contemporary Educational Technology, 2023
Large language models, such as ChatGPT, have great potential to enhance learning and support teachers, but they must be used with care to tackle limitations and biases. This paper presents two easy-to-implement examples of how ChatGPT can be used in physics classrooms to foster critical thinking skills at the secondary school level. A pilot study…
Descriptors: Physics, Science Instruction, Teaching Methods, Computer Software
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