Transcripts, Tools, and Trust: How Generative AI Is Changing Engineering Research with Dr. Andrew Katz

GIỚI THIỆU VỀ TẬP NÀY

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

https://enge.vt.edu/People/researchfaculty/dayoungkim.html

Tiếng Anh

Hoa Kỳ

TRONG PHÂN ĐOẠN NÀY

HIỆN GHI CHÚ 🔗

00:00:15Intro & Welcome

00:00:20Host Introduces Dr. Andrew Katz

00:00:30Guest Background — Early Path

00:01:24Katrina & Shift in Engineering Focus

00:02:10Graduate Studies & Teaching Experience

00:03:17Interest in Engineering Ethics & Decision‑Making

00:06:00From NLP to Large Language Models

00:08:11Project Overview — Public Discourse & Podcasts

00:11:11Mental Models & Figurative Language

00:12:23Data Sources & Transcription (Audio → Text)

00:15:10Open‑Source / Local Transcription & Privacy

00:16:58Recommended ASR Tools (Whisper, NVIDIA)

00:20:09Compute Requirements & Accessibility

00:21:52Methodology: Causal Influence Diagrams

00:24:01Graph Extraction & Benchmarking Goals

00:27:57Benchmarking Tasks & Minimal Pairs Examples

00:31:04Skill Sets: NLP Expertise vs Out‑of‑the‑Box LLM Use

00:34:03Transparency, QA & Research Best Practices

00:36:18Prediction Time — Future of Engineering Education

00:38:28Staying Current: Sources & Strategies

00:41:03Scholars & Voices to Follow (Ethics & AI)

00:45:25Parting Thoughts to the Community

00:48:43Outro & Closing

BẢN CHÉP ÂM THANH 🔗

WEBVTT
00:15.999 --> 00:18.874
Welcome back, everyone, to this month's Research Briefs.
00:20.031 --> 00:23.484
Today we are engaging with Dr. Andrew Katz, Associate Professor of
00:23.984 --> 00:26.906
Engineering Education from Virginia Tech. Welcome,
00:27.082 --> 00:29.572
Andrew. Thank you.
00:30.215 --> 00:33.684
Yeah, so glad to have you. So we know each
00:34.184 --> 00:37.781
other a bit, but many in our audience may not. So can you tell
00:38.281 --> 00:42.327
us a little bit about you…

TÌM KIẾM CÁC TẬP TRƯỚC

Tìm kiếm các tập trước của Engineering Education Research Briefs 2.0: Scholars and Scholarship.