What the study analysed
The explanatory sequential mixed methods study examined pre-service teachers’ attitudes toward and experiences with generative AI in Norwegian teacher education. Researchers surveyed 209 participants, then interviewed 11 of them in November and December 2023, with interviews running from 18 to 50 minutes. The qualitative phase used inductive thematic analysis (Braun & Clarke, 2006) and was approved by Sikt, the Norwegian agency for research ethics. This is the kind of rich, unstructured interview data that qualitative researchers and evaluators work with every day.
AI use was disclosed openly
The authors named the tool, then published as AILYZE, in both the Methods and the Acknowledgements, with a link. A transparent, citable, auditable workflow that holds up to peer review.
How Evidano fit the workflow
As described in the study’s methods, alongside human researchers.
- 1Interviews transcribed and anonymised
Auto-transcripts were corrected against the audio and identifying details were removed.
- 2Two researchers coded the transcripts manually
Inter-rater agreement between the two human coders exceeded 90%.
- 3Evidano analysed the same anonymised transcripts
A second analytic pass over the interview data.
- 4Results compared for triangulation and validation
The team checked Evidano’s results against the manual analysis. Human judgement stayed central.
“In the next stage, the anonymised interview transcriptions were further analysed using the AI tool AILYZE (http://www.ailyze.com/).”
“The research team compared the results from AILYZE with those obtained from the initial manual analysis of the interviews for triangulation and validation purposes”
“We acknowledge the use of the AI tool 'Nettskjema' for auto-transcriptions of the interviews and that of AILYZE for pre-liminary analysis of the interview data.”
A second pair of eyes on your data
Coding interviews by hand is slow. A single analytic pass can leave themes unconfirmed and findings harder to cross-check.
Add a fast second analysis you can compare against your own coding for triangulation, exactly as the study describes.
Made for transcripts, focus groups, and open-ended responses.
Work with your own codebook or an AI-suggested one.
Clickable quotes, citations, and exportable insights.
A research assistant that supports your judgement, not a replacement for it.