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Artificial Intelligence Tools for Qualitative Research

NVivo, ATLAS.ti and MAXQDA

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Abstract

Qualitative research plays a crucial role in exploring complex topics, particularly in fields like second language acquisition (SLA) and applied linguistics. Analyzing qualitative data can be challenging and time-consuming, which is where software such as NVivo 14, MAXQDA 24, and ATLAS.ti 25 come into play. These programs help researchers manage and analyze large datasets through tools that support coding, sorting, and visualizing data. For instance, NVivo is widely used in qualitative research for analyzing textual, audio, and visual data. MAXQDA is known for its versatility and user-friendly design, which makes it a popular choice for both qualitative and mixed-methods research. ATLAS.ti 25 also supports thematic analysis, which helps researchers identify patterns and relationships within data. Thematic analysis is a research method utilized to uncover themes in data, and is considered a key function in all three tools. These software programs boost the effectiveness of this method during the organization and analysis of the data enabling researchers to gain insights and draw conclusions. However, very few studies (if any) have documented their use of the AI features recently added in these software. Therefore, this study will fill this gap by examining how NVivo, MAXQDA, and ATLAS.ti AI features contribute to thematic analysis and explore its implications second language acquisition qualitative research.

Keywords:

AI-features ATLAS.ti 24 MAXQDA NVivo qualitative research Second language acquisition thematic analysis

Article information

Journal

International Journal of Human Post-Edited AI Qualitative Data Analysis

Volume (Issue)

1(01), (2025)

Pages

6-17

Published

2025-06-01

How to Cite

Boubkri, S., Yaaqoub, M., & Zguiril, N. (2025). Artificial Intelligence Tools for Qualitative Research: NVivo, ATLAS.ti and MAXQDA. International Journal of Human Post-Edited AI Qualitative Data Analysis, 1(01), 6-17. https://researchpublication.org/index.php/ijhpaqda/article/view/15

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