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Download full textUlrike Nespital; Gerald Czerney – NORDSCI, 2023
The project "Making voice and Presence a Virtual Realistic Experience" is funded by "HessenHub - Network digital university teaching Hessen". At the Center for Foreign Language and Occupational Competencies (German: ZfbK) at the University of Giessen, a teaching concept for student teacher training was developed that includes…
Descriptors: Foreign Countries, Computer Simulation, Student Teachers, Physiology
Hsiao-Wen Hsu – International Journal of Technology in Education, 2024
The implementation of computer-assisted pronunciation training (CAPT) has been proven to be successful in improving learners' pronunciation abilities. Automatic speech recognition (ASR) software was used to provide mediated support to 103 pre-intermediate level students (62 males and 41 females). After experiencing a two-semester of CAPT…
Descriptors: Automation, Assistive Technology, Pronunciation, English Language Learners
Ümran Üstünbas – International Journal of Modern Education Studies, 2024
In an era of major advances in the digital world, artificial intelligence has been a part of programs, tools, applications, and platforms. It has also been integrated into fields of education including language teaching and learning. To this end, ChatGPT, one of the most recent AI-driven systems, has been proposed to support language learners'…
Descriptors: English Language Learners, English (Second Language), Artificial Intelligence, Speech Skills
Direct linkNurul Aini; Iwan Kurniarahman; Utami Widiati; Bambang Yudi Cahyono; Yazid Basthomi – Issues in Educational Research, 2024
Our research investigated the integration of artificial intelligence in education (AIEd), focusing on Indonesian university students' perspectives. A quantitative survey design was based on the Technology Acceptance Model (TAM), a framework focused on perceived usefulness, modified by adding items related to affective aspects: interest, needs,…
Descriptors: Student Attitudes, English (Second Language), Second Language Learning, Artificial Intelligence
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
Lin, Huang-Yao; Tsai, Shu-Chiao – Australasian Journal of Educational Technology, 2021
This study investigated the use of an augmented reality (AR) -supported application called STEMUP to develop mobile English courses on Android and iOS smartphones. It focused on vocabulary and listening and speaking skills, in an initial assessment of the effectiveness of implementing AR-based mobile English courses. The study was conducted with…
Descriptors: Student Attitudes, Undergraduate Students, Elementary School Students, Material Development
Bueno Alastuey, M. C. – Computer Assisted Language Learning, 2011
This study explored the benefits and drawbacks of synchronous voice-based computer-mediated communication (CMC) in a blended course of English for specific purposes. Quantitative and qualitative data from two groups following the same syllabus, except for the oral component, were compared. Oral tasks were carried out face-to-face with same L1…
Descriptors: Experimental Groups, Control Groups, Computer Mediated Communication, Second Languages
Stewart, Tim, Ed. – Teachers of English to Speakers of Other Languages, Inc. (TESOL), 2009
The Teachers of English to Speakers of Other Languages (TESOL) field continues to experience increased valuing of experiential practitioner knowledge. A welcome result of this evolution has been the broadening of research perspectives. The 16 practitioner narratives in "Insights on Teaching Speaking in TESOL" are written by…
Descriptors: Feedback (Response), Graduate Students, Public Speaking, Scoring Rubrics
