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Wang, Jue; Engelhard, George; Combs, Trenton – Journal of Experimental Education, 2023
Unfolding models are frequently used to develop scales for measuring attitudes. Recently, unfolding models have been applied to examine rater severity and accuracy within the context of rater-mediated assessments. One of the problems in applying unfolding models to rater-mediated assessments is that the substantive interpretations of the latent…
Descriptors: Writing Evaluation, Scoring, Accuracy, Computational Linguistics
Byung-Doh Oh – ProQuest LLC, 2024
Decades of psycholinguistics research have shown that human sentence processing is highly incremental and predictive. This has provided evidence for expectation-based theories of sentence processing, which posit that the processing difficulty of linguistic material is modulated by its probability in context. However, these theories do not make…
Descriptors: Language Processing, Computational Linguistics, Artificial Intelligence, Computer Software
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Yuchen Wang; Juxiang Zhou; Zijie Li; Shu Zhang; Xiaoyu Han – IEEE Transactions on Learning Technologies, 2024
Graded reading is one of the important ways of English learning. How to automatically judge and grade the difficulty of the English reading corpus is of great significance for precision teaching and personalized learning. However, the current rule-based readability assessment methods have some limitations, such as low efficiency and poor accuracy.…
Descriptors: Computational Linguistics, Reading Materials, Readability, Semantics
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Das, Syaamantak; Das Mandal, Shyamal Kumar; Basu, Anupam – Journal of Education, 2022
It was observed from previous researches that Bloom's Taxonomy action verbs (BTAVs) are overlapping in multiple cognitive levels, causing ambiguity about the real sense of the word. A data set of BTAVs was ranked using a statistical classification. Four categories of BTAVs were identified, out of which 153 BTAVs (86.44%) are classified into a…
Descriptors: Verbs, Classification, Taxonomy, Ambiguity (Semantics)
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Niu, Ruochen; Liu, Haitao – Journal of Psycholinguistic Research, 2022
We conducted a broad-coverage investigation of the effects of syntactic distance and word order on language processing against a dependency-annotated reading time corpus of English. A combined method of quantitative syntax and psycholinguistic analyses was adopted to yield converging evidence. It was found that (i) head-initial structures allow…
Descriptors: Word Order, Psycholinguistics, Predictor Variables, Reading Rate
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Miaomiao Liu; Yixun Li; Yongqiang Su; Hong Li – Scientific Studies of Reading, 2024
Purpose: This study sought to 1) identify linguistic features important for Chinese text complexity with a theory-based and systematic approach, and 2) address how feature sets and algorithms affect the performance of Chinese text complexity models. Method: Texts from Chinese language arts textbooks from Grades 1 to 6 (N = 1,478) in Mainland China…
Descriptors: Difficulty Level, Textbooks, Algorithms, Artificial Intelligence
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Dawson, Nicola; Hsiao, Yaling; Tan, Alvin Wei Ming; Banerji, Nilanjana; Nation, Kate – Scientific Studies of Reading, 2023
Purpose: Morphological regularities are an important feature of the English writing system, and exposure to written morphology may be key in the development of skilled word recognition. Our aim was to investigate children's experiences of written morphology by analyzing a large-scale corpus of children's reading materials spanning a target age…
Descriptors: Reading Materials, Morphology (Languages), Difficulty Level, Word Recognition
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Song, Yu; Zhang, Shu; Liu, Bingman – Journal of Educational Research, 2023
Classroom dialogue is widely used in mathematics teaching and learning, and if managed strategically, it will have productive benefits for mathematics achievement. However, dialogic participants often lack awareness of how dialogue could be constructed, and few studies show the characteristics of dialogic patterns in different stages of education.…
Descriptors: Dialogs (Language), Mathematics Instruction, Comparative Analysis, Computer Software
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Dahlkemper, Merten Nikolay; Lahme, Simon Zacharias; Klein, Pascal – Physical Review Physics Education Research, 2023
This study aimed at evaluating how students perceive the linguistic quality and scientific accuracy of ChatGPT responses to physics comprehension questions. A total of 102 first- and second-year physics students were confronted with three questions of progressing difficulty from introductory mechanics (rolling motion, waves, and fluid dynamics).…
Descriptors: Physics, Science Instruction, Artificial Intelligence, Computer Software
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Huu Thanh Minh Nguyen; Nguyen Van Anh Le – TESL-EJ, 2024
Comparing language tests and test preparation materials holds important implications for the latter's validity and reliability. However, not enough studies compare such materials across a wide range of indices. Therefore, this study investigated the text complexity of IELTS academic reading tests (IRT) and IELTS reading practice tests (IRPrT).…
Descriptors: Second Language Learning, English (Second Language), Language Tests, Readability
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Li, Hang; Yao, Yao – Asia-Pacific Education Researcher, 2023
The present study examined the effect of language background and topic on productive formulaic competence. Guided by usage-based theory of language learning, this study used a distribution-based approach to the examination of the native-likeness of formulaic usage in English timed argumentative writing. Six indices informed by a large-scale native…
Descriptors: Persuasive Discourse, English (Second Language), Second Language Learning, Second Language Instruction
Mingying Zheng – ProQuest LLC, 2024
The digital transformation in educational assessment has led to the proliferation of large-scale data, offering unprecedented opportunities to enhance language learning, and testing through machine learning (ML) techniques. Drawing on the extensive data generated by online English language assessments, this dissertation investigates the efficacy…
Descriptors: Artificial Intelligence, Computational Linguistics, Language Tests, English (Second Language)
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Mahmoud Abdi Tabari; Minyoung Cho – Language Teaching Research, 2025
To test the predictive power of the SSARC (stabilize, simplify, automatize, reconstruct, and complexify) model of pedagogic task sequencing in second language (L2) writing development, the present study explores the performance of written decision-making tasks with varied levels of cognitive complexity in a simple-to-complex sequence in comparison…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Advanced Students
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Ali Yaylali – Journal of Second Language Acquisition and Teaching, 2022
This research examines how the U.S. newspapers portrayed the Common Core State Standards between 2010-2017. Lexical choices and discursive strategies in the New York Times and the Wall Street Journal were identified using the Corpus-assisted Discourse Studies framework (Partington & Marchi, 2018; Reisigl, 2018). As a diachronic study focusing…
Descriptors: Teaching Methods, Learning Processes, Common Core State Standards, Newspapers
Al-Jarf, Reima – Online Submission, 2022
Freshman students at the College of Languages and Translation received direct instruction in plural formation. Instruction covered regular plural nouns, irregular plural nouns, plural formation of words ending in -f, and -o, nouns that have the same plural and singular form, and words with Latin and foreign plurals. The students did all the…
Descriptors: Difficulty Level, Learning Processes, Second Language Learning, Second Language Instruction
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