Navigating Qualitative AI: Module 2: Harnessing Generative-AI tools for qualitative analysis

Course Overview

Navigating Qualitative AI: Ethical, Methodological and Practical Considerations

The Navigating Qualitative AI course provides an introduction into developments, debates and practicalities in the role and use of Generative AI in Qualitative Research. The course is split into three modules combining synchronous and asynchronous learning to provide a comprehensive introduction to the principles, practices and ethics of using AI tools to facilitate the analysis of qualitative materials. 

Module 1: Mindsets for considering the use of AI for Qualitative Research

Module 2: Harnessing Generative-AI tools for qualitative analysis

Module 3. Integrating Generative-AI tools into qualitative analysis processes

Choose from three pathways through the course according to your interests and needs (note, to take Module 2 or 3 it is a pre-requisite to have first completed Module 1):

• Pathway 1 – Module 1 only
• Pathway 2 – Module 1 and 2
• Pathway 3 – Module 1 and 3

Module 2. Harnessing Generative-AI tools for qualitative analysis

(Synchronous Delivery = hands-on guided exercises using selected tools, and discussion)

This module comprises demonstrations and hands-on exercises using selected AI tools for Qualitative Data Analysis, and discussion about their potential for research and evaluation. Using sample data, we consider a series of analytic tasks and methodological implications of use in different contexts, with different types of data and at different stages in the analytic process. The tools-focus in this module is on general-purpose Generative-AI tools and new online Apps designed for GenAI-driven qualitative analysis. 

The course covers:

Using general-purpose Generative-AI tools - 12 October 2026 (13:30-16:45)

• Overview of the capabilities of general-purpose Generative-AI tools
• Hands-on exercises following process of Query-Based Analysis (Morgan 2025)
  • Chatbots – e.g. ChatGPT, Claude, Gemini etc.
  • AI Research Assistant platforms – e.g. Notebook LM

Generative-AI driven analysis with bespoke online Apps - 13 October 2026 (13:30-16:45)

• Overview of the capabilities of bespoke online Apps for qualitative analysis
• Hands-on exercises using Reveal platform (analysis of transcripts)
• Hands-on exercises using Blix platform (analysis of open-ended survey responses)

By the end of the course participants will:

• Understand the potential uses of AI tools at different stages of the qualitative analysis workflow
• Understand the methodological consequences of using AI tools (potentials and risks)
• Identify skills in harnessing AI tools in ways that enable human-centred approaches

This course is aimed at students and researchers interested in qualitative analysis, within any sector or discipline. Participants must have attended Module 1 in order to attend this module.

The course takes place over two afternoons and equates to one teaching day for payment purposes.