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Michael D'Addario – Discover Education, 2025
With the proliferation of easy-to-use generative AI tools such as ChatGPT, students in college composition courses can and do take advantage of such technology to assist with essay writing. While a growing body of research does not see using these tools as a problem in itself, institutional, departmental, and instructor policies about generative…
Descriptors: Taxonomy, Language Usage, Artificial Intelligence, Computer Software
Ben Markey; David West Brown; Michael Laudenbach; Alan Kohler – Written Communication, 2024
ChatGPT and other LLMs are at the forefront of pedagogical considerations in classrooms across the academy. Many studies have spoken to the technology's capacity to generate one-off texts in a variety of genres. This study complements those by inquiring into its capacity to generate compelling texts at scale. In this study, we quantitatively and…
Descriptors: Content Analysis, Language Usage, Artificial Intelligence, Computer Software
Andrew Potter; Mitchell Shortt; Maria Goldshtein; Rod D. Roscoe – Grantee Submission, 2025
Broadly defined, academic language (AL) is a set of lexical-grammatical norms and registers commonly used in educational and academic discourse. Mastery of academic language in writing is an important aspect of writing instruction and assessment. The purpose of this study was to use Natural Language Processing (NLP) tools to examine the extent to…
Descriptors: Academic Language, Natural Language Processing, Grammar, Vocabulary Skills
Anne C. Pivonka; Laura Makary; Colin M. Gray – International Journal of Technology and Design Education, 2024
Design students must develop competence in a wide range of areas in order to be successful in their future practice. Increasingly, knowledge of design methods is used to frame both a designer's repertoire and their overall facility as a designer. However, there is little research on how students build cognitive schema in relation to design methods…
Descriptors: Design, Figurative Language, Schemata (Cognition), Teaching Methods

Arun-Balajiee Lekshmi-Narayanan; Priti Oli; Jeevan Chapagain; Mohammad Hassany; Rabin Banjade; Vasile Rus – Grantee Submission, 2024
Worked examples, which present an explained code for solving typical programming problems are among the most popular types of learning content in programming classes. Most approaches and tools for presenting these examples to students are based on line-by-line explanations of the example code. However, instructors rarely have time to provide…
Descriptors: Coding, Computer Science Education, Computational Linguistics, Artificial Intelligence
Büsra Aras; Sultan Bozkurt; Serap Önen – Novitas-ROYAL (Research on Youth and Language), 2024
This research aimed to scrutinize and delineate the figures of speech manifesting in English hit songs. A selection of songs from Spotify's Top 30 Hit Songs List was chosen as the study material. The study employed a qualitative content analysis approach to classify the type and calculate the frequency of the figures of speech within the corpus of…
Descriptors: Figurative Language, English (Second Language), Second Language Learning, Second Language Instruction
Su Tingting; Mohamed Abdou Moindjie; Manjet Kaur A/P Mehar Singh – Journal of Interdisciplinary Studies in Education, 2024
This study examines the use of English film subtitles to cultivate critical language awareness (CLA) and enhance language skills via a corpus-based approach. Creating and analyzing a specialized corpus of film subtitles reveals the cultural, social, and ideological dimensions of language usage. The findings show that film subtitles provide an…
Descriptors: Metalinguistics, Computational Linguistics, English, Language Usage
Robert Godwin-Jones – Language Learning & Technology, 2024
Generative AI offers significant opportunities for language learning. Tools like ChatGPT provide second language practice through chats in written or voice formats, with the learner specifying through prompts conversational parameters. AI can be instructed to give corrective feedback and create practice exercises. Using AI, instructors can build…
Descriptors: Second Language Learning, Second Language Instruction, Artificial Intelligence, Computer Software
Anca Greere – Interpreter and Translator Trainer, 2024
Ethical awareness is arguably becoming ever more relevant with the increasing digitalisation of professional practice. Ethical dilemmas are changing in nature, becoming more diverse and more difficult to tackle, also as technologically infused realities give rise to more blurry boundaries. Language professionals, in training for the roles of the…
Descriptors: Ethics, Translation, Teaching Methods, Computational Linguistics
Yi Gui – ProQuest LLC, 2024
This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…
Descriptors: Writing Tests, Natural Language Processing, Writing Evaluation, Scoring
Sachiko Nakamura; Ryan Spring; Shizuka Sakurai – TESL-EJ, 2024
This study looked at how practically ASR-based interactive video assignments can be integrated into EFL classrooms for additional out-of-class speaking practice, and what effects it will have on students. We created an ASR-based interactive video assignment using Google Scripts and gave it to students as a homework assignment between lessons in…
Descriptors: Foreign Countries, Interactive Video, Teaching Methods, English (Second Language)
Priyanka Bose; Xuesong Gao; Sue Starfield; Nirukshi Perera – Current Issues in Language Planning, 2024
Family language policy (FLP) impacts the maintenance of heritage language(s) in the family domain, where parents play a crucial role in making language-related decisions for their children. Globalisation, immigration, the COVID-19 pandemic, and digital communication have all affected FLP. Studies are now calling for examining how dispersed…
Descriptors: Family Relationship, Language Usage, Indo European Languages, Linguistic Theory
Elisabet Titik Murtisari; Andreas Kukuh Kristianto; Gary Bonar – Foreign Language Annals, 2024
Rapid improvements in the capabilities of machine translation (MT) raise questions about possible increases in overreliance on MT among lower-proficiency or novice level language learners. This study investigated how such learners described their use of online MT for independent reading and writing tasks, and whether this included descriptions…
Descriptors: Second Language Learning, Second Language Instruction, Translation, Computational Linguistics
Adeli Ynostroza-Ochoa; Sylvia Celedón-Pattichis; Marios S. Pattichis; Irán Tovar; Melissa Ibarra – International Journal of Multicultural Education, 2025
Although there have been efforts to broaden the participation of underrepresented students in Science, Technology, Engineering, and Mathematics (STEM), few studies have focused on how Latine bilingual students in rural contexts can access computer programming. The purpose of this case study is to examine how translanguaging facilitates…
Descriptors: Computer Science Education, Code Switching (Language), Second Language Learning, Native Language
Nailatul Amani; Maslihatul Bisriyah – Indonesian Journal of English Language Teaching and Applied Linguistics, 2025
Artificial intelligence (AI) is transforming education by offering personalized learning tools, yet its role in fostering self-regulated learning (SRL) strategies among English as a Foreign Language (EFL) students remains underexplored. This study investigates EFL students' perceptions of AI applications in supporting their self-regulated writing…
Descriptors: Metacognition, Writing Instruction, Grammar, Artificial Intelligence