
Transcripts, Tools, and Trust: How Generative AI Is Changing Engineering Research with Dr. Andrew Katz
Summary: Dr. Andrew Katz discusses his winding path from chemical engineering to engineering education, focusing on ethics, decision-making, and the rise of natural language processing and generative AI in research.
The episode explores one of Dr. Katz’s projects analyzing public podcasts to understand how people talk about AI’s impact on education and the workforce using AI. Dr. Katz describes the use of AI tools to do everything from transcription to building understanding. He parses out the difference between large language models in generative AI to natural language processing and the possibilities and potentials in engineering education.
Name Drop
Dr. David Reeping
https://researchdirectory.uc.edu/p/reepindp
Dr. Dan Jurafsky
https://web.stanford.edu/~jurafsky/
Dr. Dayoung Kim
Flere episoder fra "Engineering Education Research Briefs 2.0: Scholars and Scholarship"



Gå ikke glip af nogen episoder af “Engineering Education Research Briefs 2.0: Scholars and Scholarship” - abonnér på podcasten med gratisapp GetPodcast.








