Key take-aways

The case study revealed several important takeaways:

• Issue to consider: the accuracy of AI summaries heavily depends on the quality of the input (transcripts). If the original audio is too unclear or the transcription is poor, the summary may miss key points. Proper tools and equipment can help mitigate this.
• Possible challenges: not all transcription tools are universally accessible. For instance, Microsoft Word’s transcription feature only works on Windows, which limited accessibility for Mac users. There’s also a learning curve in crafting effective prompts for AI tools.
• Recommendations: educators should invest some time in learning prompt engineering to get the most out of AI summarization tools. It’s also beneficial to provide students with a basic understanding of how AI tools work so they can use them independently. When possible, ensure all students have access to quality recording and transcription tools to ensure fairness.

Overall, this experiment shows that AI-generated summaries can be a powerful support tool for both learners and educators, particularly in communication-heavy or presentation-based courses.