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Fang Huang; Dingyang Peng; Timothy Teo – European Journal of Education, 2025
Contextualised in the AI--supported English-speaking learning, this study examined the roles of AI affordances in influencing EFL learners' emotional, cognitive, and behavioural speaking engagement, and explored the moderating roles of gender and learner types (on-campus vs. on-job) in influencing AI-supported English-speaking engagement. Data…
Descriptors: Learner Engagement, Second Language Learning, Second Language Instruction, English (Second Language)
Bunyamin Celik; Yunus Yildiz; Saban Kara – Australian Journal of Applied Linguistics, 2025
Expressing thoughts and feelings efficiently is fundamental in daily, academic, and professional life. Accordingly, self-efficacy beliefs play pivotal roles in shaping learners' speaking performance through various dimensions. Higher education institutions assume responsibility for boosting students' speaking self-efficacy, thereby contributing to…
Descriptors: Self Efficacy, English (Second Language), Second Language Instruction, Second Language Learning
Jaeho Jeon; Seongyong Lee; Serafín M. Coronel-Molina – ELT Journal, 2024
Artificial intelligence (AI) technologies, particularly chatbots with speech-recognition, are gaining attention as tools for ELT. However, this frontline development in contemporary ELT seems to stand in stark contrast to the multilingual effort, another innovative trend, as chatbots' speech recognition capabilities are primarily attuned to native…
Descriptors: Artificial Intelligence, Computer Software, English (Second Language), Second Language Learning
Bin Zou; Sitian Xie; Chenghao Wang – International Journal of Information and Communication Technology Education, 2025
Willingness to Communicate (WTC) plays a crucial role in developing students' speaking proficiency in English as a Foreign Language (EFL) learning. This study investigates whether students' in-class WTC can be enhanced through an AI-supported program and explores their perceptions of using the AI for future academic speaking development. A…
Descriptors: Artificial Intelligence, Computer Software, Speech Communication, Classroom Communication
Pereira, Juanan; Fernández-Raga, María; Osuna-Acedo, Sara; Roura-Redondo, Margarita; Almazán-López, Oskar; Buldón-Olalla, Alejandro – Technology, Knowledge and Learning, 2019
The globally widespread instant messaging (IM) mobile applications such as WhatsApp or Telegram were not originally educational tools, but they have become platforms for peer to peer assessment (P2P). The IM applications offer "chatbots" or "virtual assistant bots" that help students by providing them a multitude of services in…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Arslanbay, Goshnag; Ersanli, Ceylan Yangin – Journal on English Language Teaching, 2023
Data-Driven Learning (DDL) is a method for learning languages that involves analyzing language usage trends and finding patterns in language data, utilizing technology and statistics. One of the key benefits of DDL is that it allows students to focus on the most relevant and useful language data for their needs. Data-driven learning is an…
Descriptors: English (Second Language), English for Academic Purposes, Second Language Learning, Second Language Instruction
Pollard, Andrew – English Teaching Forum, 2015
For many people, mobile phones are a part of modern life. Although the purpose of this technology revolves around language and communication, its application to language learning still appears to be underutilized. This is changing, as the widespread use of this handheld technology offers numerous opportunities to use functions that are ideal for…
Descriptors: Telecommunications, Computer Oriented Programs, Handheld Devices, Computer Mediated Communication
Cucchiarini, Catia; Nejjari, Warda; Strik, Helmer – Language Learning in Higher Education, 2012
Individualized tutoring and feedback by trained language instructors are known to be optimal for language learning. Providing them is time-consuming and costly, however, and therefore not feasible for the majority of language learners. This applies particularly to pronunciation, where corrective feedback should ideally be synchronous, which makes…
Descriptors: Pronunciation, Coaching (Performance), Computer Assisted Instruction, English (Second Language)

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