Navigating Qualitative AI: Module 3: Integrating Generative-AI tools into qual analysis processes

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 3. Integrating Generative-AI tools into qualitative analysis processes

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

This module comprises demonstrations and hands-on exercises focused on integrating the use of GenAI capabilities into existing qualitative analysis workflows, using selected qualitative analysis programs. The sessions combine demonstrations, hands-on exercises, and discussion about how integrating GenAI may impact practice. 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 existing qualitative software programs, using NVivo and MAXQDA as core examples. 

The course covers:

Principles of integrating AI tools into qualitative analysis processes - 16 November 2026 (13:30-16:45)

• Overview of the capabilities of established qualitative software programs (AI and non-AI tools)
• Ensuring analytic methods drive the use of AI tools 
• Hands-on exercises using NVivo

Exploring MAXQDA’s AI tools for qualitative analysis - 18 November 2026 (13:30-16:45)

• Overview of MAXQDA’s tools 
• Hands-on exercises integrating AI tools into a qualitative analysis process (using literature, transcripts and open-ended survey responses),

By the end of the course participants will:

• Understand opportunities for the use 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 (16 and 18 November) and equates to one teaching day for payment purposes.