Hi, I'm Gelu

I was, am, and always will be curious about what happens when mind meets technology. Passion guided my path as a scholar, software developer, teacher, advisor, and life-long learner. Trained as an engineer, I gained deep knowledge into the business field and achieved a better understanding of how people learn. I explore research design and methods and build web applications. The exploration of ideas brings me joy and I will never cease to pursue it.

Ioan Gelu Ionas, Ph.D., MBA
Copyright © 2010 - 2024

Design & Development

Computers don't make errors. What they do, they do on purpose. (Murphy's Laws)

A research methods and data analysis book for quantitative studies. A research design management tools. A perpetually developed resource.

A web-based educational and research tool for numerical assessment of structural knowledge using constrained and unconstrained concept maps.

A suite of web application for education and research in women’s health. Designed and developed for the University of Kansas School of Medicine.

Research & Teaching

The road to success is always under construction. (Murphy's Laws)
  • Causality & causal reasoning

    Causality is pervasive and ubiquitous. It helps build intellectual understanding, supports deliberations, is involved in planning, in technology, and even in language. Its understanding is critical to cognition and learning. I am interested in learning more about how we can help people reason and learn in causal contexts.

  • Quantitative research methods

    Today’s world produces ever increasing amounts of data which, when used properly, can provide insights that were not possible before. I believe that quantitative analysis and statistics should be approachable. The book and the associated resources are developed from the point of view that the use of statical methods to understand a quantifiable phenomena does not have to be overwhelming.

  • Automating assessment of structural knowledge

    Concept maps are phenomenal tools for assessing structural knowledge of a domain or around a concept. Nevertheless, when it comes to use them for assessment, the come with a significant disadvantage because the best way to assess them is by hand. Today's technology offers us affordances that were limited in the past, both in constructing concept maps and analyzing them. This line of research attempts to study how the assessment of structural knowledge can be automated.


Any simple theory will be worded in the most complicated ways. (Murphy's Laws)