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Eric David Abrams – ProQuest LLC, 2024
ChatGPT and generative AI technologies have infiltrated our learning spaces, and, as a result, schools may be changed forever. While some educators may seek to ban the use of chatbots, motivated by a fear of the rampant plagiarism the technology might invite, I, however, write this dissertation with the intent of finding uses for AI as a…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, English Instruction
Bui, Hung Phu; Bui, Huan Hung Phuong; Dinh, Phat Dac – LEARN Journal: Language Education and Acquisition Research Network, 2023
Despite an improving interest in mobile-assisted language learning in recent years, little is known about second language (L2) learners' use of and attitudes to smartphone apps in learning English. This study explores L2 learners' purposes for and attitudes toward using Smartphone English Language Learning Apps (SELLA) in the Vietnamese context. A…
Descriptors: Foreign Countries, Handheld Devices, Telecommunications, English (Second Language)
Wu, Wen-Chi; Lin, I.-Ting; Chen Hsieh, Jun – Asia-Pacific Education Researcher, 2023
The knowledge of English idioms is essential for advanced English learning and application, particularly for English-as-a-foreign-language (EFL) learners. While studies have shown the benefits of mobile-assisted language learning (MALL) to facilitate English learning, few studies have examined the factors that may influence MALL in light of…
Descriptors: Foreign Countries, English, Language Patterns, Learning Modalities
Duong Thi Thuy Mai; Nguyen Van Hanh – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This study investigated whether English proficiency (EP) and English self-efficacy (ESE) influence the credibility of ChatGPT-generated English content (CCGEC) of college students in the English-medium instruction (EMI) courses. We observed a college-level EMI course called "Technical Writing and Presentation", where instructors…
Descriptors: Language Proficiency, Self Efficacy, Credibility, Artificial Intelligence
Ann Margareth; Moch. Sukardjo; Robinson Situmorang – LEARN Journal: Language Education and Acquisition Research Network, 2025
This paper analyses the relationship between translational technology and learning outcomes and investigates the type of translational technology most beneficial towards students' translations of legal texts. This study tests whether differences were found in the learning outcomes of legal text translation for students with high and low placement…
Descriptors: Laws, Translation, Indonesian, Language Processing
Dillon, Thomas; Wells, Donald – English Teaching, 2023
This study examined effects of pronunciation training using automatic speech recognition technology on common pronunciation errors of Korean English learners. Participants were divided into two groups. One group was given instruction and training about the use of automatic speech recognition for pronunciation practice. The other group was not…
Descriptors: Pronunciation, English (Second Language), Second Language Instruction, English Language Learners
Petra Polakova; Petra Ivenz – Cogent Education, 2024
This study investigates the effectiveness of ChatGPT feedback in enhancing the writing skills of Gen Z students, who constitute a significant portion of today's global population. Utilizing a mixed-methods approach, the research explores both quantitative and qualitative aspects of students' interactions with ChatGPT in the context of foreign…
Descriptors: Artificial Intelligence, Computer Software, Writing Instruction, Technology Uses in Education
Christine Ting-Yu Yang; Shu-Li Lai; Howard Hao-Jan Chen – Interactive Learning Environments, 2024
Research has revealed the positive impact of intelligent personal assistants (IPAs) on L2 learners' oral development and learning attitude. These studies, however, focused mostly on the in-class use of IPAs, with existing research on the out-of-class use being exploratory. To fill the gap of lacking empirical investigations on IPA-based autonomous…
Descriptors: Intelligent Tutoring Systems, Second Language Learning, Influence of Technology, Personal Autonomy
Andrew Schenck – International Journal of Adult Education and Technology, 2024
Power distance (PD), a cultural value denoting acceptance of asymmetrical power relationships, influences the force of rhetoric used by a writer to address their reader. However, AI technologies such as ChatGPT lack an explicit awareness of PD, which could affect the quality of AI-generated persuasive texts used for language learning. To…
Descriptors: Power Structure, Artificial Intelligence, Computer Software, Persuasive Discourse
Abdulmohsin A. Alshehri – Australian Journal of Applied Linguistics, 2025
This study aimed to investigate the extent to which computer-assisted pronunciation (CAP) is influential in helping Hijazi students to develop their pronunciation of English vowels within a Saudi English as a foreign language (EFL) context. It also examined whether Saudi Hijazi learners taught English vowel sounds by CAP outperform those taught…
Descriptors: Pronunciation, Computer Uses in Education, English (Second Language), Second Language Instruction
Nuong To Huynh – International Society for Technology, Education, and Science, 2024
The rationale of the current research was to investigate English Language (EL) students' perception on their using Grammarly in Academic Writing Subject at a private university in The Mekong Delta of Vietnam. This study also desires to find out and explore the strong as well as weak aspects of Grammarly application. The mixed-method design was…
Descriptors: English (Second Language), Computer Software, Grammar, College Students
Williamson, Kristie – Higher Education Research and Development, 2023
In Australia, international students who do not meet university set English language requirements can alternatively attend intensive courses in English for Academic Purposes (EAP). Such courses are steeped in the traditions of communicative language teaching, often holding 'English only' classroom policies. This article draws on data from a larger…
Descriptors: Code Switching (Language), Language Usage, Native Language, English (Second Language)
Johnson, Carol; Cardoso, Walcir – Research-publishing.net, 2021
This mixed-methods one-shot study examines L2 writers' perceptions of using Automatic Speech Recognition (ASR) to write using the Technology Acceptance Model (TAM), based on three criteria: usefulness, ease of use, and intention to use. After receiving training on Google voice typing in Google Docs, 17 English as a Second Language (ESL) students…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Teaching Methods
Myunghwan Hwang; Eunmi Lee; Hee-Kyung Lee – English Teaching, 2025
This research, grounded in the extended technology acceptance model, aimed to explore the relationships among factors influencing Korean EFL learners' acceptance of ChatGPT for English learning in a voluntary usage context. To this end, a questionnaire was distributed to college students who had used ChatGPT for language learning, utilizing a…
Descriptors: English (Second Language), Second Language Learning, Technology Uses in Education, Computer Software
Pham, Quang Nam; Li, Mimi – Asia-Pacific Education Researcher, 2023
Due to the importance of digital multimodal composing (DMC) in the current educational context, the researchers in this study implemented infographic tasks in an English for Specific Purposes (ESP) course at a Vietnamese university and examined the EFL students' perceptions on individual and collaborative composing of infographics using Visme. The…
Descriptors: English (Second Language), Second Language Learning, Student Attitudes, Visual Aids