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 https://studentsurvey.ie/index.php/reports

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

Ogbuchi, I., Kiely, E., Quigley, C., McGinty, D., Mulrennan, K., & Donovan, J. (2023). Using power tools to automate and scale personalised feedback to learners. ISSN: 2188-1162 The European Conference on Education 2023: Official Conference Proceedings. https://doi.org/10.22492/issn.2188-1162.2023.108 

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 

Ogbuchi, I., Kiely, E., Quigley, C., & McGinty, D. (2023). Analysis of automated and personalised student feedback to improve learner experience. ISSN: 2758-0962 The Paris Conference on Education 2023: Official Conference Proceedings. https://doi.org/10.22492/issn.2758-0962.2023.16 

Poster Publication – 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/ 

 Photos