Students' Willingness to Communicate (WTC) in Using Artificial Intelligence (AI) Technology in English-Speaking Practice
में बचाया:
| में प्रकाशित: | International Journal of Information and Communication Technology Education vol. 21, no. 1 (2025), p. 1-19 |
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| मुख्य लेखक: | |
| अन्य लेखक: | , |
| प्रकाशित: |
IGI Global
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| विषय: | |
| ऑनलाइन पहुंच: | Citation/Abstract Full Text - PDF |
| टैग: |
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!
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MARC
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|---|---|---|---|
| 001 | 3200233161 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1550-1876 | ||
| 022 | |a 1550-1337 | ||
| 024 | 7 | |a 10.4018/IJICTE.375387 |2 doi | |
| 035 | |a 3200233161 | ||
| 045 | 2 | |b d20250101 |b d20250331 | |
| 084 | |a 78808 |2 nlm | ||
| 100 | 1 | |a Zou, Professor Bin |u Xi'an Jiaotong-Liverpool University, China | |
| 245 | 1 | |a Students' Willingness to Communicate (WTC) in Using Artificial Intelligence (AI) Technology in English-Speaking Practice | |
| 260 | |b IGI Global |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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 mixed-methods approach was adopted, incorporating questionnaires and semi-structured interviews to collect data. The quantitative findings indicate a significant improvement in students' in-class WTC following the implementation of the AI-powered English speech evaluation and feedback program named EAP Talk. The interview data further reveal that participants generally hold positive attitudes toward using the AI platform for speaking practice. They report notable improvements in their speaking skills and learning experience and express a strong willingness to continue using the platform in the future. This study offers pedagogical implications for EFL learners, teachers and language learning software developers, highlighting the potential of AI-assisted programs in fostering WTC and confidence. It also provides recommendations for future research on the integration of AI in spoken language teaching and learning. | |
| 653 | |a Students | ||
| 653 | |a Future | ||
| 653 | |a Teachers | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Speech | ||
| 653 | |a Learning | ||
| 653 | |a Teaching | ||
| 653 | |a English as a second language | ||
| 653 | |a Computer assisted language learning | ||
| 653 | |a Foreign languages | ||
| 653 | |a Language acquisition | ||
| 653 | |a English language | ||
| 653 | |a Speech perception | ||
| 653 | |a Software development | ||
| 653 | |a Feedback | ||
| 653 | |a Spoken language | ||
| 653 | |a Competence | ||
| 653 | |a Data collection | ||
| 653 | |a Willingness to communicate | ||
| 653 | |a Program evaluation | ||
| 653 | |a Interviews | ||
| 653 | |a English proficiency | ||
| 653 | |a Communication | ||
| 653 | |a Willingness | ||
| 653 | |a Language | ||
| 653 | |a English as a second language instruction | ||
| 653 | |a English for academic purposes | ||
| 653 | |a Oral Language | ||
| 653 | |a Speech Evaluation | ||
| 653 | |a Educational Technology | ||
| 653 | |a English (Second Language) | ||
| 653 | |a Speech Skills | ||
| 653 | |a English Learners | ||
| 700 | 1 | |a Xie, Sitian |u Xi'an Jiaotong-Liverpool University, China | |
| 700 | 1 | |a Wang, Chenghao |u Xi'an Jiaotong-Liverpool University, China | |
| 773 | 0 | |t International Journal of Information and Communication Technology Education |g vol. 21, no. 1 (2025), p. 1-19 | |
| 786 | 0 | |d ProQuest |t Library Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3200233161/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3200233161/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |