Speaker
Description
This poster presents a DIY toolchain that integrates local AI for automating feedback on the 4/3/2 spoken fluency exercise. The system rapidly transcribes student speeches, providing metrics such as word count, speech rate, and improvement tips. Results indicate an increase in speech rate after using the improvement tips and a positive reception to frequent AI use, suggesting these tools can be used to enhance spoken fluency and boost student motivation.
Summary
This research presents a DIY toolchain that integrates local AI for automating feedback on the 4/3/2 spoken fluency exercise. The system rapidly transcribes student speeches, providing metrics such as word count, speech rate, and improvement tips. Results indicate an increase in speech rate after using the improvement tips and a positive reception to frequent AI use, suggesting these tools can be used to enhance spoken fluency and boost student motivation.
| Teaching Context | College and university education |
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