Do you want to explore current research recommendations in the literature on incorporating LLMs into qualitative/mixed methods data analysis, or are you interested in implementing LLMs into your qualitative/mixed methods workflow?  If so, this short course is designed for you!

In this course we will examine current recommendations from the literature regarding integrating AI (specifically LLMs) into the process of qualitative coding.  Acknowledging that a wide range of qualitative approaches exist, all examples and recommendations in this course will be based on the 6 Phase Thematic Analysis Framework proposed by Braun & Clarke 2006 to simplify the course scope.

No perquisites in qualitative methods or coding are required for this course – just bring your computer & your curiosity!

In the course we will:

1)        Review the qualitative approach of Thematic Analysis using the Braun & Clarke Framework

2)        Get a high-level, very big picture understanding of LLMs, what they are & how they generate “natural language”

3)        Examine current recommendations in the literature on incorporating LLMs in Thematic Analysis

4)        Do hands-on activities in R that implement some of the current recommendations using the Braun & Clarke Framework.  We will compare our results to published results generated by all human coders using the same data

Minimum computer requirements for full participation are as follows:

- RAM: At least 16 GB of random access memory

- GPU: A graphics card with at least 16 GB of VRAM (video memory)

- Disk Space: About 16 GB of free space on your hard drive or SSD

Please install the most recent version of the following software prior to class.  Be sure to install the version for your operating system and please install R prior to installing R Studio.

-            R: https://cran.r-project.org/

-            R Studio: https://posit.co/download/rstudio-desktop/

-            Ollama: https://ollama.com/

The HW Odum Institute is pleased to offer short courses now eligible for Continuing Education Unit (CEU) credits administered through the UNC Chapel Hill William and Ida Friday Center. 10 contact short course hours = 1 CEU credit hour. CEU Transcripts are accredited by SACS COC.

NOTICE: The CEU processing fee (separate from the course registration fee) is $10 and NON-REFUNDABLE, and must be paid in advance of taking each short course to have this credit added to your CEU transcript. CEU credit cannot be added retroactively.

For CEUs from the Friday Center at UNC-Chapel Hill – Within 45 days of confirmation of completion of course requirements, you will receive an email from the Friday Center with a FID number. Use this FID number to login to the Friday Center to request your CEUs.