Contributions to Education

Real Exploration of Assessment and Learning (REAL) using sophisticated toolkits across NFQ levels

Selected as one of eight recipients (from 34 national proposals) for QQI’s 10th Anniversary grant to advance scholarship and professional development in assessment aligned with the National Framework of Qualifications (NFQ).

A national initiative designed to explore and enhance assessment and learning practices across the NFQ, using advanced digital toolkits and learner-centered design. REAL aims to empower educators and learners through embedded, meaningful, and data-informed assessment strategies

Research Publications & Outputs

🧠 AI in Education, NLP & Learning Analytics

· Soft Skills as Predictors of Success in Software Engineering Through Analysis of Confidence, Adaptability and Time Management – To appear in ACM ECSEE 2025.

· Topic Modelling using Latent Dirichlet Allocation (LDA) and Analysis of Students Sentiments – IEEE JCSSE 2023, Thailand. DOI: 10.1109/JCSSE58229.2023.10201965
🔗 https://doi.org/10.1109/JCSSE58229.2023.10201965

· Application of NLP for Sentiment Analysis and Topic Modelling of Postgraduate Student Engagement Data – StudentSurvey.ie Qualitative Report, 2022.
🔗 https://studentsurvey.ie/sites/default/files/2023-12/APPLIC~2.PDF

· Using NLP to Gauge Learner Sentiments – Talk, EDEN Annual Conference, DCU, June 2023.

· Improving Quality Education (SDG 4): Self-Efficacy to Enhance Numerical Literacy – Poster, MOCHAS Symposium, Jan 2024, ATU Sligo.

· Optimizing Learning Analytics: How BERT Uncovers New Measures in Computing Education – Poster, MOCHAS Symposium, Jan 2025, ATU Letterkenny.

💉 Diabetes Informatics & Health Analytics

· A Combined Acute and Chronic Risk Assessment Rolling Window for Type 1 Diabetes – IEEE IPAS 2022.

· A Rolling Window Methodology for Glycaemic Variability Metrics – Poster, ATTD 2024.
🔗 https://attd.kenes.com/wp-content/uploads/sites/48/2024/02/e-Poster-Discussion-Session-01-Station-01.pdf

· Temporal Analysis of Glycaemic Variability Metrics – Poster, ICIC24, 2024.

📘 Innovative Pedagogical Research

· Real Exploration of Assessment and Learning (REAL) using sophisticated toolkits across NFQ levels – QQI Anniversary Grant Recipient, 2024.

· Virtual Nanotechnology Education: Web-Based Learning for Nanoscopic Materials Research – LAP LAMBERT Academic Publishing, ISBN: 978-3-8433-6078-4

Book: Kiely. E. (2010) Nanolab: Virtual Nanotechnology Education: The Design, Development and Implementation of a Web-Based Learning System for Nanoscopic Materials Research (2010) LAP Publishing, Germany, ISBN-13: 978-3-8433-6078-4

📘 Thematic Publication List:

🧠 Peer-Reviewed Conference Papers & Proceedings

Personalised Feedback

Ogbuchi, I., Kiely, E., Quigley, C., McGinty, D., Mulrennan, K., & Donovan, J. (2023).
Using power tools to automate and scale personalised feedback to learners.
The European Conference on Education 2023: Official Proceedings.
https://doi.org/10.22492/issn.2188-1162.2023.108
→ Presents scalable tools to automate meaningful learner feedback.
Ogbuchi, I., Kiely, E., Quigley, C., & McGinty, D. (2023).
Analysis of automated and personalised student feedback to improve learner experience.
The Paris Conference on Education 2023.
https://doi.org/10.22492/issn.2758-0962.2023.16
→ Investigates how automation impacts feedback quality and learner outcomes.
Ogbuchi, I., Kiely, E., Quigley, C., & McGinty, D. (2022).
Exploring the use of machine learning to improve student engagement and retention.
ICERI2022 Proceedings, 3385–3390.
https://doi.org/10.21125/iceri.2022.0828
→ Highlights machine learning models that target at-risk students early.
Ogbuchi, I., Kiely, E., & Quigley, C. (2023).
Exploratory data visualisation of student interactions.
EDULEARN23 Proceedings, 1709–1715.
https://doi.org/10.21125/edulearn.2023.0522
→ Demonstrates how visual analytics enhances learning feedback loops.

📊 Qualitative Research & National Reporting

Kiely, E., Quigley, C., Ishmael, O., & Ogbuchi, I. (2023).
Application of Natural Language Processing (NLP) for Sentiment Analysis and Topic Modelling of Postgraduate Student Engagement Data.
In PGR StudentSurvey.ie Qualitative Data Analysis Report, Dublin.
National Forum Case Study:
Harnessing student engagement data for personalised feedback.
National Resource Hub (Ireland). Galway Mayo Institute of Technology (07/04/2025).
https://hub.teachingandlearning.ie/resource/harnessing-student-engagement-data-for-personalised-feedback/
→ Nationally shared exemplar under Creative Commons license (CC BY).

🛠️ Open Source Contribution

API Development for Moodle:
Developed and contributed an open-source Python Flask API to extract attendance data from Moodle.
Listed under “API to Pull Specific Attendance Information”:
https://docs.moodle.org/400/en/Attendance_activity

📌 Posters & Applied Analytics

Kiely, E., Quigley, C., Donovan, J., Mulrennan, K. (2023).
Using the k-means algorithm to identify at-risk student groups from learner data.
Conference on Applied Statistics in Ireland (CASI).
https://casi.ie/p34/
→ Applies clustering techniques to support early intervention strategies.

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