| Title: |
Using Multiple GenAI Tools in Pronunciation Teaching: An AI-Assisted Teaching Flowchart in Blended Learning and Flipped Learning |
| Language: |
English |
| Authors: |
Ka Long Roy Chan; Jinyu Liu |
| Source: |
Journal of Educators Online. 2025 22(3). |
| Availability: |
Journal of Educators Online. Grand Canyon University, 23300 West Camelback Road, Phoenix, AZ 85017. e-mail: CIRT@gcu.edu. Web site: https://www.thejeo.com |
| Peer Reviewed: |
Y |
| Page Count: |
6 |
| Publication Date: |
2025 |
| Document Type: |
Journal Articles; Reports - Evaluative |
| Descriptors: |
Artificial Intelligence; Technology Uses in Education; Teaching Methods; Pronunciation Instruction; Flow Charts; Blended Learning; Flipped Classroom; Instructional Design; Synchronous Communication; Asynchronous Communication; Language Skills |
| ISSN: |
1547-500X |
| Abstract: |
This brief article explores the integration of Generative Artificial Intelligence (GenAI) tools into blended learning environments for designing and teaching pronunciation tasks. Adapting Calamlam's (2016) conceptual framework, a flowchart is proposed to guide the use of three GenAI tool types to enhance pronunciation instruction: Listen-Mimic Type, Analyze-Feedback Type, and Practice-Feedback Type. The framework facilitates effective use of both synchronous and asynchronous learning opportunities. While this study offers a theoretical overview, it highlights the potential for broader application across various language skills. Future research is necessary to evaluate the effectiveness of these tools and their role in the evolving educational landscape. |
| Abstractor: |
As Provided |
| Entry Date: |
2025 |
| Accession Number: |
EJ1473966 |
| Database: |
ERIC |