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Samuel Boguslawski; Rowan Deer; Mark G. Dawson – Information and Learning Sciences, 2025
Purpose: Programming education is being rapidly transformed by generative AI tools and educators must determine how best to support students in this context. This study aims to explore the experiences of programming educators and students to inform future education provision. Design/methodology/approach: Twelve students and six members of faculty…
Descriptors: Programming, Computer Science Education, Personal Autonomy, Learning Motivation
Jiao Du; Xiaowei He; Haopeng Yu – First Language, 2025
We used the elicited production task to explore the production of short and long passives in 15 Mandarin-speaking preschool children with Developmental Language Disorder (DLD; aged 4;2-5;11) in comparison with 15 Typically Developing Aged-matched (TDA) children (aged 4;3-5;8) and 15 Typically Developing Younger (TDY) children (aged 3;2-4;3). This…
Descriptors: Mandarin Chinese, Form Classes (Languages), Child Language, Language Impairments
Ming Chen; Yongbing Liu – Asia Pacific Journal of Education, 2025
This corpus-based study investigates lexical richness in English writing by Chinese senior high school students. Lexical uses in 303 compositions were compared across three grades in terms of lexical sophistication, variation, density and errors. Timed compositions were sampled from Writing Corpus of English Learners, and the sample sizes of three…
Descriptors: Writing Instruction, High School Students, Connected Discourse, Foreign Countries
Jing Chen; Yi Jiang – SAGE Open, 2025
Anticipatory "it" pattern, which encodes interpersonal stance, plays a crucial role in academic writing. While previous studies have been explored the overuse and the underuse of this pattern among English as a Foreign Language (EFL) learners and published writers, there has been limited exploration of how EFL learners use the…
Descriptors: Foreign Countries, Masters Programs, Graduate Students, English (Second Language)
Qing Guo; Junwen Zhen; Fenglin Wu; Yanting He; Cuilan Qiao – Journal of Educational Computing Research, 2025
The rapid development of large language models (LLMs) presented opportunities for the transformation of science and STEM education. Research on LLMs was in the exploratory phase, characterized by discussions and observations rather than empirical investigations. This study presented a framework for incorporating LLMs into Science and Engineering…
Descriptors: STEM Education, Computational Linguistics, Teaching Methods, Educational Change
Gerald Eliniongoze Kimambo – International Journal of Multilingualism, 2025
The main argument of this paper is that the Virtual Linguistic Landscape (VLL) of advertising allows the utilisation of persuasion strategies that transcend the traditional separation of named languages to produce the maximum effect on potential customers. The paper challenges the segregational view of language, which assumes that communication…
Descriptors: Advertising, Motor Vehicles, Social Media, Semiotics
Handong Li; Sook Jhee Yoon – Technology, Pedagogy and Education, 2025
With the wide adoption of the blended approach by language practitioners, blended language learning (BLL) has developed into a new area in applied linguistics. Much research has been conducted on pedagogical innovation, technological tools, users' perceptions and the creation of the BLL environment. Concerning the establishment of a BLL…
Descriptors: Blended Learning, Teaching Methods, College Second Language Programs, Cultural Influences
Hyoun-A Joo – Multilingua: Journal of Cross-Cultural and Interlanguage Communication, 2025
The goal of the present study is to explore bilinguals' intercultural style of requesting in a workplace setting and thereby contribute to the understanding of bilingual pragmatic competence. The relatively unexplored intercultural style hypothesis suggests that bilinguals show a unique pragmatic pattern related to but distinct from the contact…
Descriptors: Intercultural Communication, Work Environment, Bilingualism, Communication Strategies
Dennis Murphy Odo – Language Learning & Technology, 2025
There is currently limited investigation of readers' comprehension of AI simplified text from the perspective of educators, but such research can help to more effectively address the specific needs and perspectives of language teachers and learners regarding the comprehensibility of AI simplified text. Therefore, the purpose of this study was to…
Descriptors: Reading Comprehension, Artificial Intelligence, Computer Software, Technology Integration
Humairah Fauziah; Yazid Basthomi; Nurenzia Yannuar – TESL-EJ, 2025
Concordancer tools have been used to help students learn aspects of written English by engaging them to access, examine, and analyze language examples in a corpus. Nonetheless, their efficacy remains uncertain when compared to other tools. This study compared a concordancer tool to Grammarly, QuillBot, Google search, online dictionaries, and…
Descriptors: Indexes, Computational Linguistics, English (Second Language), Second Language Learning
Atthasith Chuanpipatpong – PASAA: Journal of Language Teaching and Learning in Thailand, 2025
Writing is often considered the most difficult language skill for EFL learners due to its persistent grammatical and lexical challenges. Although tools such as Google Translate and ChatGPT are increasingly used, concerns persist regarding overreliance and reduced learner autonomy. This study investigated the grammatical errors and writing…
Descriptors: Foreign Countries, Error Analysis (Language), English (Second Language), Second Language Learning
Majid Nikouee; Takashi Oba – TESL Canada Journal, 2025
This article explores how principles from cognitive psychology, particularly transfer-appropriate processing (TAP) and skill acquisition theory, can inform the design of grammar practice in second language (L2) instruction. While grammar instruction often emphasizes declarative knowledge, enabling learners to use grammatical forms accurately and…
Descriptors: Teaching Methods, Grammar, English (Second Language), Second Language Learning
Kole A. Norberg; Husni Almoubayyed; Logan De Ley; April Murphy; Kyle Weldon; Steve Ritter – International Journal of Artificial Intelligence in Education, 2025
Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Educational Change
Ali Yaylali; Yousra Abourehab; Juanita J. Sandoval; Mary Carol Combs – Action in Teacher Education, 2025
Many teacher education programs aim to address the acute need for culturally and linguistically responsive educators by fostering linguistic consciousness and awareness of language learner populations. This mixed-methods study explores how elementary education teacher candidates' perspectives shift through critical reflection and dialogue about…
Descriptors: Culturally Relevant Education, Preservice Teachers, Student Attitudes, Introductory Courses
Genc, Zubeyde Sinem; Armagan, Kiymet Selin – Journal of Education and Training Studies, 2018
The aim of the study is to investigate gender-bound language use in Turkish and English languages and to identify the differences and similarities across cultures and genders in the plays with family and social themes. Four English and five Turkish plays were chosen randomly for comparison. The number of words in the plays were taken into…
Descriptors: Gender Differences, Statistical Analysis, Turkish, Drama

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