Evidence behind the narrative.
A selected, verified record spanning mathematics and learning analytics, learner voice, intelligent feedback, clinical time-series analysis and earlier work in technology-enhanced physics education.
How to read this page
This is a curated professional record rather than a count for its own sake. Recent outputs have been checked against ATU Pure, publisher or DOI records, StudentSurvey.ie and the HEA resource hub. Work produced through research supervision is identified separately when Etain is not an author.
Soft Skills as Predictors of Success in Software Engineering Through Analysis of Confidence, Adaptability and Time Management
Temporal Analysis of Glycaemic Variability Metrics
Application of Natural Language Processing (NLP) for Sentiment Analysis and Topic Modelling of Postgraduate Student Engagement Data
A Rolling Window Methodology for Integrating and Comparing Glycaemic Variability Metrics
Exploring Glycaemic Variability Relationships and Patterns Using Rolling Window Time Series
Topic Modelling using Latent Dirichlet Allocation (LDA) and Analysis of Students Sentiments
Using Power Tools to Automate and Scale Personalized Feedback to Learners
Exploratory Data Visualization of Student Interactions
Analysis of Automated and Personalised Student Feedback to Improve Learner Experience
Exploring the Use of Machine Learning to Improve Student Engagement and Retention
A Combined Acute and Chronic Risk Assessment Rolling Window for Type 1 Diabetes
An Accessible Method of Delivering Timely Personalized Feedback to Large Student Cohorts
The Design of Blended Learning Experiences for Clean Data to Allow Proper Observation of Student Participation
Harnessing Student Engagement Data for Personalised Feedback
Nanolab: Virtual Nanotechnology Education
Using Enhanced Learning Technologies to Teach Nanoscience Research Techniques to Postgraduate Physics Students
Research leadership is also visible in other people’s work.
One example is Ikechukwu Ogbuchi’s 2025 International Journal of Online STEM Education paper, produced from TU RISE-funded Masters research supervised by Etain. The public article lists Ogbuchi as sole author, so it belongs here rather than in Etain’s authored-publication list.
Leveraging Machine Learning and AI to Enhance Educational Learning Analytics
Ikechukwu Ogbuchi · International Journal of Online STEM Education 7(3), 2025 · DOI 10.46328/ijonse.1933. The study reports a learning-analytics framework for early identification and personalised feedback across 1,017 students.
Open paper ↗