Navigating Qualitative AI: Ethical, Methodological and Practical Considerations - Module 3: Integrating Generative-AI tools into qualitative analysis processes - Online

Description:

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. 

This page is for Module 3: Integrating Generative-AI tools into qualitative analysis processes

If you wish to register for Modules 1 or 2, please do so here:

Module 1 - Mindsets for considering the use of AI for Qualitative Research - 30 Sept and 1 Oct

Module 1 - Mindsets for considering the use of AL for Qualitative Research - 2 and 4 Nov

Module 2 - Harnessing Generative-AI tools for qualitative analysis - 12 and 13 Oct

Cost:

The fee per teaching day is:

• £60 per day for students registered at any University.
• £150 per day for staff at academic institutions, Research Councils researchers, public sector staff and staff at registered charity organisations and recognised research institutions.
• £350 per day for all other participants

All fees include event materials and morning and afternoon refreshments. Fees do not include lunch, travel or accommodation costs.

In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date.

If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of its cancellation of a course, including but not limited to any travel or accommodation costs.

The University of Southampton’s Online Store T&Cs also continue to apply.

Website and registration:

Register for this course

Region:

South East

Keywords:

Qualitative Data Handling and Data Analysis, Qualitative Software, Qualitative AI, Qualitative Data Analysis, Qualitative methods, Artificial Intelligence (AI), Generative AI

Related publications and presentations from our eprints archive:

Qualitative Data Handling and Data Analysis
Qualitative Software

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