ERIC Number: EJ1477784
Record Type: Journal
Publication Date: 2025-Jun
Pages: 17
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1042-1629
EISSN: EISSN-1556-6501
Available Date: 2025-02-13
Enhancing Phonetic Accuracy through Chatbot-Assisted Language Learning
Yi-Fan Wang1; Mei-Hua Hsu2; Max Yue-Feng Wang3; Yu-Ting Chang1
Educational Technology Research and Development, v73 n3 p1723-1739 2025
Mastering correct pronunciation is crucial for effective Spanish language learning and communication. However, many existing language learning resources lack adequate coverage of pronunciation guidance and feedback mechanisms. This study aims to address this gap by developing SpanishBot, an innovative chatbot designed to facilitate the learning of Spanish letter pronunciations and their variations for non-native speakers. Forty-eight participants, unfamiliar with Spanish, were randomly divided into an experimental group using SpanishBot and a control group using independent learning methods. The experimental group interacted with SpanishBot over a 2-month period, which utilized Python programming and the Line instant messaging platform for delivering personalized pronunciation feedback and practice. Instruments included a pre-test and a post-test, as well as the SpanishBot system, which provided real-time feedback on pronunciation accuracy based on audio recordings. Findings revealed a statistically significant difference between the two groups' post-test scores, with the experimental group demonstrating remarkable improvements in Spanish pronunciation proficiency. This study highlights SpanishBot's potential in language education, specifically for Spanish pronunciation training.
Descriptors: Phonetics, Accuracy, Spanish, Second Language Learning, Second Language Instruction, Programming Languages, Audio Equipment, Comparative Analysis, Pronunciation Instruction, Artificial Intelligence, Synchronous Communication, Learning Management Systems, Computer Software, Technology Integration, Language Proficiency, Instructional Effectiveness, Feedback (Response)
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: 1National Taipei University of Business, Institute of Information and Decision Sciences, Taipei, Taiwan; 2Chang Gung University of Science and Technology, Center for General Education, Taoyuan, Taiwan; 3Pennsylvania State University, Marketing, University Park, USA