I built an NVivo-style research tool in Python in under 40 minutes this morning.
And it reminded me of something important.
During my EdTech journey I’ve been exposed to a lot of research software. Some of it is excellent. Some of it is… well… older than some of my students.
But when you understand how the analysis actually works, you start to realize something.
Many research tools are essentially workflows:
clean text → tokenize → analyze frequency → visualize → generate reports.
So I tried a small experiment.
I built a lightweight NVivo-lite text mining tool using Python.
It can ingest research articles and automatically generate:
• Word frequency analysis
• Word clouds
• TF-IDF keyword extraction
• Word trees (context analysis)
• Concordance lines from source documents
• HTML and PDF research reports
Report:
Not a full qualitative research platform — but surprisingly capable.
The interesting part isn’t the tool.
It’s the realization that technical literacy expands your research toolkit.
When you understand both the methodology and the technology, you’re no longer limited to the software someone else sells you.
You can build the tools you need.
And sometimes that can save a research budget a few thousand dollars.
Even more exciting is what could come next.
A few upgrades that would take a tool like this much further:
1️⃣ AI-generated literature summaries
Using LLM APIs (OpenAI, HuggingFace, LangChain), the system could generate thematic summaries or draft literature review sections.
2️⃣ Automated topic modeling
Libraries like Gensim or scikit-learn could detect latent themes across hundreds of documents.
3️⃣ Interactive research dashboards
Frameworks like Streamlit could turn static reports into exploratory research environments.
The real takeaway:
Learning a programming language doesn’t just make you a developer.
It gives you the ability to shape your own research tools.
And that’s incredibly empowering.
Repository here:
https://lnkd.in/gZmeRV7h
Robert Foreman
Doctoral Student, Educational Technology
Central Michigan University
Research Focus: AI-Augmented Exploratory Learning (AAEL), applied AI in education, and building practical AI tools that empower professionals and researchers.
Website:
https://nhancedata.com
Email:
forem1r@cmich.edu
Phone:
480-415-0783