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Ozlem Ozan; Yasin Ozarslan; Sevgi Calisir Zenci – Turkish Online Journal of Distance Education, 2025
This study analyzed linguistic errors as part of the Differentiated Distance Education of Turkish as a Foreign Language Project, which pursues the development of an adaptive MOOC for Turkish as a second language. Therefore, the Turkish CEFR (Common European Framework of Reference for Languages) A1-level writing exam papers of 177 learners were…
Descriptors: MOOCs, Language Patterns, Language Usage, Error Patterns
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Basem S. Marie; Laila K. Qanawati; Deema A. Zabalawi; Aya M. Ali; Fadi J. Najem – Communication Disorders Quarterly, 2025
This study aims to identify the phonological error patterns of normally developing children who speak colloquial Jordanian Arabic dialect and to provide normative data for the age of suppression for each phonological error pattern. One hundred fifty-four normally developing children (68 females and 86 males) ranging from 3 to 6.5 years were…
Descriptors: Error Patterns, Arabic, Foreign Countries, Phonology
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Sabrin Shaban-Rabah; Roni Henkin; Rose Stamp; Rama Novogrodsky – Journal of Speech, Language, and Hearing Research, 2025
Deaf and hard of hearing (DHH) children show difficulties in their morphosyntactic abilities. Purpose: The current study aimed to examine morphosyntactic errors in sentences produced by DHH students, who are signers of Israeli Sign Language, and also users of Palestinian Colloquial Arabic (PCA) and written Modern Standard Arabic (MSA). Method:…
Descriptors: Bilingualism, Deafness, Hard of Hearing, Students with Disabilities
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Zachary W. Taylor; Brett McCartt; Tahagod Babekir – Texas Education Review, 2024
Across many language backgrounds, a consistent hurdle to accessing United States higher education is understanding the basic information necessary to apply for admission and financial aid and complete the many enrollment management processes necessary to begin one's college career (apply for housing, receive and submit vaccinations, register for…
Descriptors: Arabic, Native Speakers, Access to Education, Higher Education
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Wagdi Rashad Ali Bin-Hady; Arif Ahmed Mohammed Hassan Al-Ahdal; Samia Khalifa Abdullah – Journal of Applied Research in Higher Education, 2024
Purpose: English as a foreign langauge (EFL) students find it difficult to apply the theoretical knowledge they acquire on translation in the practical world. Therefore, this study explored if training in pretranslation techniques (PTTs) (syntactic parsing) as suggested by Almanna (2018) could improve the translation proficiency of Yemeni EFL…
Descriptors: Teaching Methods, English (Second Language), Second Language Learning, Second Language Instruction
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Muna Abd El-Raziq; Natalia Meir; Elinor Saiegh-Haddad – Autism & Developmental Language Impairments, 2024
Background and aims: Although autism spectrum disorder (ASD) has not traditionally been associated with morphosyntactic impairments, some children with ASD manifest significant difficulties in this domain. Sentence Repetition (SRep) tasks are highly reliable tools for detecting morphosyntactic impairment in different languages and across various…
Descriptors: Morphology (Languages), Syntax, Arabic, Native Language
Mohammad H. Adam – ProQuest LLC, 2024
Writing proper English sentences poses a significant challenge for Arabic-speaking postsecondary students studying English as a Foreign Language (EFL) due to substantial differences between Arabic and English syntactic structures. This basic qualitative study explored the perceptions of Arabic-speaking EFL learners at an Arabian university…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Arabic
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Arifi Waked; Muhammad W. Ashraf; Hanadi AbdelSalam; Khadija El Alaoui; Maura Pilotti – International Society for Technology, Education, and Science, 2024
Questions exist as to whether AI tools, such as ChatGPT, can aid learning. This study examined whether in-class exercises involving error detection in text generated by ChatGPT can aid students' foreign language writing. Participants were Arabic-English speakers who were classified as ranging from modest to competent English users according to…
Descriptors: Artificial Intelligence, Computer Software, Second Language Learning, Second Language Instruction