Enhancing Oral English Proficiency Through Human-Computer Interaction
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| Published in: | International Journal of Web-Based Learning and Teaching Technologies vol. 20, no. 1 (2025), p. 1-19 |
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| Main Author: | |
| Published: |
IGI Global
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| Subjects: | |
| Online Access: | Citation/Abstract Full Text - PDF |
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| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3205436423 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1548-1093 | ||
| 022 | |a 1548-1107 | ||
| 024 | 7 | |a 10.4018/IJWLTT.377130 |2 doi | |
| 035 | |a 3205436423 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 100 | 1 | |a Tang, Nan |u Foreign Language College, Zhengzhou Normal University, China | |
| 245 | 1 | |a Enhancing Oral English Proficiency Through Human-Computer Interaction | |
| 260 | |b IGI Global |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Human-Machine Interaction (HMI) technology has revolutionized the landscape of oral English education, offering new possibilities for improving learning efficiency and experiences. This paper presents an innovative teaching system that integrates real-time speech recognition and feedback capabilities with advanced natural language processing (NLP) and machine learning algorithms. The system is designed to provide personalized learning paths based on learners' performance data, ensuring tailored resources and guidance. Emphasizing user experience and interactive design, it aims to stimulate learner interest and motivation. Research findings indicate significant improvements in students' pronunciation, fluency, and grammar, alongside high levels of user satisfaction. However, challenges remain in fully replicating genuine human interactions and addressing technical limitations. Future work will focus on enhancing conversational abilities, personalization, and multimodal feedback mechanisms to better prepare students for real-world communication scenarios. | |
| 653 | |a Teaching | ||
| 653 | |a Speech recognition | ||
| 653 | |a Students | ||
| 653 | |a Language proficiency | ||
| 653 | |a Human technology relationship | ||
| 653 | |a Feedback | ||
| 653 | |a Conversation | ||
| 653 | |a Human-computer interaction | ||
| 653 | |a Machine learning | ||
| 653 | |a Technology | ||
| 653 | |a Comparative studies | ||
| 653 | |a Hypotheses | ||
| 653 | |a Motivation | ||
| 653 | |a Voice recognition | ||
| 653 | |a Personalized learning | ||
| 653 | |a Algorithms | ||
| 653 | |a Learning | ||
| 653 | |a Real time | ||
| 653 | |a Speech | ||
| 653 | |a English language | ||
| 653 | |a Pronunciation | ||
| 653 | |a Education | ||
| 653 | |a Customization | ||
| 653 | |a Language acquisition | ||
| 653 | |a Fluency | ||
| 653 | |a User experience | ||
| 653 | |a Competence | ||
| 653 | |a Grammar | ||
| 653 | |a Educational objectives | ||
| 653 | |a User satisfaction | ||
| 653 | |a English proficiency | ||
| 653 | |a Language instruction | ||
| 653 | |a Natural language processing | ||
| 653 | |a Design | ||
| 653 | |a Ability | ||
| 653 | |a Satisfaction | ||
| 653 | |a Oral Language | ||
| 653 | |a Literature Reviews | ||
| 653 | |a Comparative Analysis | ||
| 653 | |a Language Processing | ||
| 653 | |a Educational Environment | ||
| 653 | |a Learner Engagement | ||
| 653 | |a English | ||
| 653 | |a Language Role | ||
| 653 | |a Language Usage | ||
| 653 | |a Guidance | ||
| 653 | |a Educational Resources | ||
| 653 | |a Influence of Technology | ||
| 653 | |a Learning Processes | ||
| 653 | |a Computers | ||
| 653 | |a Learning Experience | ||
| 653 | |a Learning Theories | ||
| 653 | |a Intelligence | ||
| 653 | |a Oral English | ||
| 653 | |a Educational Experience | ||
| 653 | |a Educational Facilities Improvement | ||
| 773 | 0 | |t International Journal of Web-Based Learning and Teaching Technologies |g vol. 20, no. 1 (2025), p. 1-19 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3205436423/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3205436423/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |