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Word Frequency and Readability: Predicting the Text-Level Readability with a Lexical-Level Attribute
Chen, Xiaobin; Meurers, Detmar – Journal of Research in Reading, 2018
Assessment of text readability is important for assigning texts at the appropriate level to readers at different proficiency levels. The present research approached readability assessment from the lexical perspective of word frequencies derived from corpora assumed to reflect typical language experience. Three studies were conducted to test how…
Descriptors: Word Frequency, Readability, Correlation, Predictive Measurement
Shi Pu; Yu Yan; Brandon Zhang – Journal of Educational Data Mining, 2024
We propose a novel model, Wide & Deep Item Response Theory (Wide & Deep IRT), to predict the correctness of students' responses to questions using historical clickstream data. This model combines the strengths of conventional Item Response Theory (IRT) models and Wide & Deep Learning for Recommender Systems. By leveraging clickstream…
Descriptors: Prediction, Success, Data Analysis, Learning Analytics
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
Jones, Samuel David; Brandt, Silke – Journal of Child Language, 2019
Children learn high phonological neighbourhood density words more easily than low phonological neighbourhood density words (Storkel, 2004). However, the strength of this effect relative to alternative predictors of word acquisition is unclear. We addressed this issue using communicative inventory data from 300 British English-speaking children…
Descriptors: Child Language, Language Acquisition, Phonology, Vocabulary Development
Egbert, Jesse; Burch, Brent – Applied Linguistics, 2023
The words in a language or language variety are often rank ordered in lists that are meant to reflect the relative importance of those words to language users and learners of a language. This rank ordering is done on the basis of the relative prevalence of words in a corpus. Lexical prevalence is often operationalized as measures of frequency,…
Descriptors: Word Lists, Incidence, Computational Linguistics, Textbooks
Nurmukhamedov, Ulugbek; Sharakhimov, Shoaziz – RELC Journal: A Journal of Language Teaching and Research, 2023
In addition to movies, television programs, and TED Talks presentations, podcasts are an increasingly popular form of media that promotes authentic public discourse for diverse audiences, including university professors and students. However, English language teachers in the English as a second language/English as a foreign language contexts might…
Descriptors: Speeches, Computational Linguistics, English (Second Language), Second Language Learning
Hsieh, Hsiaolin; Wiles, Simon; Solano-Flores, Guillermo – International Multilingual Research Journal, 2023
We address the concern that classification of English learners (ELs) primarily based on standardized tests does not accurately reflect what students know and can do with English. While qualitative classroom discourse analyses show that ELs' language-in-use is not as limited as test scores indicate, available evidence is sparse and prone to…
Descriptors: English Language Learners, Dialogs (Language), Elementary School Students, Secondary School Students
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
Xixiang Lou – SAGE Open, 2025
EL1 learners' receptive morphological words (root, inflected, and derived words) develop on different scales, but whether they develop similarly in EFL learners' language production is still unknown and deserves an examination. The answer may provide a clue to theoretical controversy about whether language learners' morphologically defined words…
Descriptors: Advanced Students, English (Second Language), Second Language Instruction, Second Language Learning
Bernstein, Stuart E.; Flipse, Jennifer L.; Jin, Ying; Odegard, Timothy N. – Reading and Writing: An Interdisciplinary Journal, 2020
Common tests of morphological awareness measure both morphology and syntax by requiring participants to fit words and pseudowords into sentences by adding or removing affixes. We report the results of a study testing a new word level task. College students viewed transparent words (without phonological or orthographic shifts) and used a keyboard…
Descriptors: Morphology (Languages), Morphemes, Syntax, College Students
Dang, Thi Ngoc Yen; Webb, Stuart; Coxhead, Averil – Language Teaching Research, 2022
With a number of word lists available for teachers to choose from, teachers and students need to know which list provides the best return for learning? Four well-established lists were compared and it was found that BNC/COCA2000 (British National Corpus / Corpus of Contemporary American English 2000) and the New General Service List (New-GSL)…
Descriptors: Word Lists, Word Frequency, Teacher Attitudes, Vocabulary Skills
Rodriguez, Nuria; Acha, Joana – Reading and Writing: An Interdisciplinary Journal, 2022
This study presents the results of a cross-sectional reading and spelling assessment conducted among 118 Spanish children in 3rd, 4th and 5th grade. The first aim was to explore whether children's use of orthographic knowledge was modulated by lexical variables--word frequency and orthographic neighborhood--or sublexical…
Descriptors: Foreign Countries, Elementary School Students, Grade 3, Grade 4
Pickren, Sage E.; Stacy, Maria; Del Tufo, Stephanie N.; Spencer, Mercedes; Cutting, Laurie E. – Reading Research Quarterly, 2022
In the current study, we examined relations between text features (e.g., word concreteness, referential cohesion) and reading comprehension using multilevel logistic models. The sample was 158 native English-speaking students between 8 years, 8 months and 11 years, 2 months of age with a wide range of reading ability. In line with the simple view…
Descriptors: Reading Comprehension, Reader Text Relationship, Connected Discourse, Reading Ability
Doewes, Afrizal; Saxena, Akrati; Pei, Yulong; Pechenizkiy, Mykola – International Educational Data Mining Society, 2022
In Automated Essay Scoring (AES) systems, many previous works have studied group fairness using the demographic features of essay writers. However, individual fairness also plays an important role in fair evaluation and has not been yet explored. Initialized by Dwork et al., the fundamental concept of individual fairness is "similar people…
Descriptors: Scoring, Essays, Writing Evaluation, Comparative Analysis
Papadimitriou, Vassilios; Argyropoulos, Vassilios – Scientific Studies of Reading, 2022
Purpose: The main objective of the present study was to examine the effect of word length, word frequency and number of syllables on graphemic errors during a text-reading task via the braille code. Method: Thirty students with severe visual impairments participated in the present study. They were invited individually to read aloud a number of…
Descriptors: Word Frequency, Braille, Graphemes, Error Patterns