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Xieling Chen; Haoran Xie; Di Zou; Lingling Xu; Fu Lee Wang – Educational Technology & Society, 2025
In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…
Descriptors: Classification, MOOCs, Teaching Skills, Artificial Intelligence
Song, Yoon Ah; Lee, Won-Chan – Applied Measurement in Education, 2022
This article presents the performance of item response theory (IRT) models when double ratings are used as item scores over single ratings when rater effects are present. Study 1 examined the influence of the number of ratings on the accuracy of proficiency estimation in the generalized partial credit model (GPCM). Study 2 compared the accuracy of…
Descriptors: Item Response Theory, Item Analysis, Scores, Accuracy
Brian Weiler; Ling-Yu Guo – Language, Speech, and Hearing Services in Schools, 2024
Purpose: The finite verb morphology composite (FVMC) is a valid measure for charting children's tense development and for differentiating children with and without language impairment during preschool and early elementary years. However, it is unclear whether FVMC scores vary as a function of language sample elicitation contexts. The current study…
Descriptors: Verbs, Preschool Children, Morphology (Languages), Accuracy
Yubin Xu; Lin Liu; Jianwen Xiong; Guangtian Zhu – Journal of Baltic Science Education, 2025
As the development and application of large language models (LLMs) in physics education progress, the well-known AI-based chatbot ChatGPT4 has presented numerous opportunities for educational assessment. Investigating the potential of AI tools in practical educational assessment carries profound significance. This study explored the comparative…
Descriptors: Physics, Artificial Intelligence, Computer Software, Accuracy
Hoang, Loc Phuoc; Le, Hieu Thanh; Van Tran, Hung; Phan, Thanh Chi; Vo, Duc Minh; Le, Phuong Anh; Nguyen, Dung The; Pong-inwong, Chakrit – Education and Information Technologies, 2022
Peer assessment has an important role in teaching and learning nowadays. However, the existing techniques tend to be limited due to a lack of a suitable means to evaluate the accuracy of peer assessment activities and supervise peer assessment performances in an online environment. Hence, it is very necessary to develop new solutions encourage…
Descriptors: Peer Evaluation, Teaching Methods, Learning Processes, Accuracy
Mohamed A. Mekheimer; A. I. Fageeh – Discover Education, 2025
This study investigated the impact of information density on English as a Foreign Language (EFL) listening comprehension, testing the hypothesis that listeners prioritize message understanding in information-rich discourse over grammar-focused analysis in rhetorical discourse. A quasi-experimental design was employed with 26 EFL college students,…
Descriptors: Listening Comprehension, English (Second Language), Second Language Learning, Second Language Instruction
Reza Zabihi; Danial Erfanitabar – RELC Journal: A Journal of Language Teaching and Research, 2024
This study investigated the efficacy of varying degrees of written corrective feedback (WCF) explicitness on the accuracy of revised drafts and new pieces of writing among learners of different proficiency levels. A total of 130 learners of English were divided into three proficiency groups (basic, independent, and proficient users), with learners…
Descriptors: Writing Instruction, Second Language Learning, Second Language Instruction, Revision (Written Composition)
Harun Bayer; Fazilet Gül Ince Araci; Gülsah Gürkan – International Journal of Technology in Education and Science, 2024
The rapid advancement of artificial intelligence technologies, their pervasive use in every field, and the growing understanding of the benefits they bring have led actors in the education sector to pursue research in this field. In particular, the use of artificial intelligence tools has become more prevalent in the education sector due to the…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Technology Uses in Education
Silaj, Katie M.; Schwartz, Shawn T.; Siegel, Alexander L. M.; Castel, Alan D. – Educational Psychology Review, 2021
Test anxiety is a context-specific academic anxiety which can result in poorer academic and metacognitive performance. We assessed how the quantity and relative weight of assessments contribute to the effects of test anxiety on performance and metacognitive accuracy in a smaller seminar-style class on human memory (study 1) and a larger…
Descriptors: Test Anxiety, Metacognition, Accuracy, Memory
Zahra Zargaran – Australian Journal of Applied Linguistics, 2025
Providing feedback on EFL Learners' speaking errors has been extensively researched, with numerous studies highlighting its benefits (Van Ha, et al., 2021; Hartono, 2022). This study investigates the impact of "pending feedback", a type of feedback where students must independently discover the correct answer. This research emphasizes…
Descriptors: Second Language Learning, English (Second Language), Language Tests, Accuracy
Hosseinabad, Hedieh Hashemi; Bai, Xiuqin – International Journal of Language & Communication Disorders, 2023
Background: Intelligibility measurement is influenced by the characteristics of a speaker, listener and contextual factors. This study addresses the clinical problem of measuring speech intelligibility in children with velopharyngeal insufficiency (VPI) in real-world conditions. Aims: The purpose of the study was to investigate the effects of…
Descriptors: Intelligibility, Measurement, Speech Communication, Speech Impairments
Kim Chi An Nguyen; Le Hoang Dung – Online Submission, 2024
English speaking accuracy is one of the most important aspects of Business English. While most studies are conducted to improve English speaking accuracy, they neglect phrasal semantics. This present study involves 30 participants from Phu Em Company. The study employs a mixed-methods design in which the quantitative approach helps quantify the…
Descriptors: English (Second Language), Second Language Instruction, Second Language Learning, Accuracy
Klingbeil, David A.; Osman, David J.; Van Norman, Ethan R.; Berry-Corie, Kimberly; Kim, Jessica S.; Schmitt, Madeline C.; Latham, Alexander D. – Reading & Writing Quarterly, 2023
Accurate and efficient universal screening is a foundational component of multi-tiered systems of support for reading. By the time students reach middle school, educators often have extant data available to inform screening decisions. Therefore, the decision to collect additional data to inform screening should be considered carefully. The…
Descriptors: Screening Tests, Reading Tests, Middle School Students, Identification
Jeremy Pichany – ProQuest LLC, 2024
The purpose of this quasi-experimental quantitative study was to determine whether the supplemental phonics program, Fundations, improved reading skills over time. Ehri's theory of orthographic mapping served as the theoretical framework for this study. Archival data from 254 second grade students who did, or did not, participate in the…
Descriptors: Literacy Education, Grade 2, Elementary School Students, Accuracy
Tasia Brafford; Ben Clarke; Russell M. Gersten; Keith Smolkowski; Marah Sutherland; Joe Dimino; David Fainstein – Grantee Submission, 2023
We investigated the technical characteristics of a brief early numeracy screening battery for both English learners (ELs) and English proficient students (EPs). Results indicated there were differences in performance of ELs and EPs. Further, we found reasonable overall accuracy of the screener predicting student outcomes. Similar overall accuracy…
Descriptors: Screening Tests, Numeracy, English Language Learners, Prediction