We have a new pre-print out! I have been spending a long time thinking about how to scale up qualitative data analysis. In this paper, we introduce a method I call EECS - extract, embed, cluster, and summarize. Check it out!
https://t.co/KWIRXh5uer
Big congrats to one of my grad students @irs_933 on winning best paper for the ethics division for our paper on using natural language processing in ethics assessment! Co-authored With @jhess_purdue
Happy to be able to share work with Yasir - one of my grad student’s about to defend soon! - and @profjennicase comparing results from using generative AI in qualitative research with traditional approaches! Preprint: https://t.co/pxsc36Q8IF
Our new pre-print on using generative AI (e.g., GPT-4) and large language models for education research is out! In it we demonstrate how one can use these models to identify themes in large-scale qualitative data https://t.co/6uYOIw9V0F
Glad our pre-print on using GPT and generative AI to analyze teammate feedback in engineering courses is finally out! Co-authored with @siqing_wei@c_brinton Matthew Ohland and Gaurav Nanda
https://t.co/E1TwzUTtq9
This Friday, WIM is pleased to welcome @doc_katz to campus! Join us at 2pm in person or online to learn more about using NLP for social science research. Read more & register to attend: https://t.co/asMmhjIJWJ cc: @AVMaltese@TimHallett1@Schuessler_IU
New article out from me @vtenge with Joyce Main @PurdueENE in @journal_see on using concepts from political science and economics to study phenomena in engineering education. Check it out! https://t.co/knpkfokOGx
Some of our recent work with @TrippShealy and @agodwinSTRIDE on engineering students and their interests to address climate change in their careers https://t.co/MZ2xWVkhbA
I wonder what the ratio is of 'reticent users questioning whether each tweet is really worth typing' to 'unflinching users who assume every tweet is obviously worth typing'.