Deeve Technologies

Published research

Peer-reviewed studies from my Master of Information Technology work at the State University of Northern Negros, on how software quality and AI shape the way people use technology.

2peer-reviewed journal papers
2026published
314respondents across both studies
MITState University of Northern Negros
Papers

Journal articles

IJCSMCMay 2026
R² 0.76of satisfaction explained by the model
Quantitative, 88 faculty
Peer-reviewedJournal articleCo-author

A data-driven analytical evaluation of ICT portal features and their influence on faculty user satisfaction in higher education

Dyna D., John Albert M., John Augustus D., Dinnes D., Crimary M., Jhyclyff J., Serafin P., Kristine S.

Applies predictive analytics to examine how ICT portal quality influences faculty user satisfaction, using the ISO/IEC 25010 framework. Regression identified reliability, performance efficiency, usability and security as significant predictors, with strong explanatory power.

International Journal of Computer Science and Mobile Computing, Vol. 15, Issue 5, pp. 64-71

GJSTEMRApril 2026
35.3%of students report weaker critical thinking
Mixed methods, 226 students
Peer-reviewedJournal articleCo-author

Exploring the potential challenges of AI-driven platforms for Information Technology students in the Philippines

Jay C., Rolly V., Dinnes D., Renald M., Kristine S.

Investigates the negative effects of unregulated AI use among IT students, using mixed-methods data from 226 students. Identifies over-reliance, academic integrity gaps and the rural digital divide, and calls for human-in-the-loop teaching strategies.

Global Journal of STEM Education & Management Research, Vol. 2, Issue 1, pp. 303-312

Research interests

What I study

Software quality evaluation

Measuring systems against ISO/IEC 25010: usability, reliability, performance efficiency and security, and which of them users actually feel.

Predictive analytics

Moving evaluation past averages into correlation and regression, so institutions fix what has the biggest measurable impact first.

AI in IT education

How generative AI and code assistants change the way IT students learn, and what teaching needs to protect.

Why it matters for your project

I build software, and I measure whether it works.

The same questions I research are the ones I ask on client builds: is it reliable, is it fast, is it easy to use, and is it secure. Those four drove satisfaction in my ICT portal study, and they shape how I scope and test every project.