This assignment, by Analeigh E. Horton, is from the TextGenEd January 2024 Continuing Experiments collection in the WAC Clearinghouse Repository.
The abstract from the site explains:
This assignment asks researchers (most likely, graduate students, but anyone dealing with oral qualitative data) to explore traditional and modern methods of transcription. Students will learn how to work with different tools and consider the affordances and constraints of each, developing the ability to discern what approach is best for their specific study. This approach is particularly helpful for researchers who are unfamiliar with transcription processes and uncertain in determining the details they need to capture. This assignment can be modified to suit a range of transcription technologies to help students gain familiarity with various softwares.
Key Features of This Assignment
- AI Transcription
- Students use AI tools to perform the initial transcription of qualitative data, allowing them to experience the efficiency and accuracy of automated transcription methods.
- Manual Verification
- In the second phase, students manually verify and correct the AI-generated transcriptions, developing their attention to detail and understanding the limitations of AI technology.
- Comparative Analysis
- The assignment includes a comparative analysis where students evaluate the differences between AI-assisted and traditional transcription methods, fostering critical thinking and analytical skills in assessing technological tools.
Find the full version of this resource at the WAC Clearinghouse.