My publications
I refer you to my projects for a description of the publications and their context.
Journal papers (with referee)
- Azcona, D., Hsiao, I.-H., & Smeaton, A. F. (2018). Detecting Students-In-Need in Programming Classes with Multimodal Learning Analytics. Special Issue on Multimodal Learning Analytics & Personalized Support Across Spaces. Journal of User Modeling and User-Adapted Interaction. International Journal of Artificial Intelligence in Education (IjAIED). BibTeX
- Casey, K., & Azcona, D. (2017). Utilizing student activity patterns to predict performance. International Journal of Educational Technology in Higher Education, 14, 4. PDF BibTeX
- Azcona, D., & Casey, K. (2015). Micro-analytics for Student Performance Prediction. International Journal of Computer Science and Software Engineering (IJCSSE), 4, 218–223. PDF BibTeX
Conference papers (with referee)
- Azcona, D., McGuinness, K., & Smeaton, A. F. (2020). A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset. 2020 International Conference on Intelligent Data Science Technologies and Applications (IDSTA), 149–155. IEEE. PDF BibTeX
- Azcona, D., Moreu, E., Hu, F., Ward, T., & Smeaton, A. F. (2019). Predicting Media Memorability using Ensemble Models. CEUR Workshop Proceedings. PDF BibTeX
- Azcona, D., Arora, P., Hsiao, I.-H., & Smeaton, A. (2019). User2Code2Vec: Embeddings for Profiling Students Based on Distributional Representations of Source Code. Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 86–95. New York, NY, USA: ACM. PDF BibTeX
- Azcona, D., Hsiao, I.-H., & Smeaton, A. F. (2018). Personalizing Computer Science Education by Leveraging Multimodal Learning Analytics. Frontiers in Education (FIE 2018). PDF BibTeX
- Azcona, D., Hsiao, I.-H., & Smeaton, A. F. (2018). An Exploratory Study on Student Engagement with Adaptive Notifications in Programming Courses. European Conference on Technology Enhanced Learning (EC-TEL’18). Presented at the NY, USA. NY, USA: Springer. PDF BibTeX
- Vance, Y., Azcona, D., Hsiao, I.-H., & Smeaton, A. F. (2018). Predictive Modelling of Student Reviewing Behaviors in an Introductory Programming Course. Educational Data Mining in Computer Science Education Workshop (CSEDM’18). PDF BibTeX
- Vance, Y., Azcona, D., Hsiao, I.-H., & Smeaton, A. F. (2018). Learning by Reviewing Paper-based Programming Assessments. European Conference on Technology Enhanced Learning (EC-TEL’18). Presented at the NY, USA. NY, USA: Springer. PDF BibTeX
- Azcona, D., Hsiao, I.-H., & Smeaton, A. F. (2018). PredictCS: Personalizing Programming learning by leveraging learning analytics. Companion Proceedings of the 8th International Learning Analytics & Knowledge Conference (LAK’18). ACM. PDF BibTeX
- Azcona, D., Hsiao, I.-H., & Smeaton, A. F. (2018). Modelling Math Learning on an Open Access Intelligent Tutor. The 19th International Conference on Artificial Intelligence in Education (AIED 2018). PDF BibTeX
- Azcona, D., Corrigan, O., Scanlon, P., & Smeaton, A. F. (2017). Innovative learning analytics research at a data-driven HEI. Third International Conference on Higher Education Advances (HEAd’17). Editorial Universitat Politècnica de València. PDF BibTeX
- Azcona, D., & Smeaton, A. F. (2017). Targeting At-risk Students Using Engagement and Effort Predictors in an Introductory Computer Programming Course. European Conference on Technology Enhanced Learning (EC-TEL’17), 361–366. NY, USA: Springer. PDF BibTeX
Demos
- Azcona, D., Moreu, E., Hsiao, I.-H., & Smeaton, A. F. (2019). CoderBot: AI Chatbot to Support Adaptive Feedback for Programming Courses. ACM. PDF BibTeX
Under review
- Azcona, D., Corrigan, O., Scanlon, P., & Smeaton, A. F. (2019). Educational Analytics in a University Environment: Experiences of Some Real Deployments. BibTeX
- Azcona, D., Hsiao, I.-H., & Smeaton, A. F. (2018). The Effects of Social Features in Early Detection of At-Risk Students in Computer Programming Courses. BibTeX
- Azcona, D., Moreu, E., Hsiao, I.-H., & Smeaton, A. F. CoderBot: AI Chatbot to Support Adaptive Feedback for Programming Courses. BibTeX
Awards
- LAK 2019 Best Demo Runner Up
- AIED 2018 Best Student Poster Nominee
- EC-TEL 2018 Best Paper Nominee
Organization
- Educational Data Mining in Computer Science Education (CSEDM) Workshop at the University at Buffalo, New York, USA (CSEDM 2018). Proceedings
- Proceeding Editor of the 9th International Learning Analytics & Knowledge Conference (LAK 2019) at Arizona State University, Arizona, USA. Proceedings
- Educational Data Mining in Computer Science Education (CSEDM) Workshop at Arizona State University, Arizona, USA (CSEDM 2019). Proceedings
Selected presentations
- User2Code2Vec: Embeddings for Profiling Students Based on Distributional Representations of Source Code at Arizona State University, Tempe, AZ, USA (LAK 2019)
- Data Mining & Embeddings to Offer Fresh Insights on Irish Politics at the Insight Student Conference 2018 in Unversity College Dublin, Ireland (ISC 2018)
- Predictive Modelling of Student Reviewing Behaviors in an Introductory Programming Course at the Educational Data Mining in Computer Science Education Workshop at EDM 2018 at the University at Buffalo, New York, USA (CSEDM 2018)
- PredictCS: Personalizing Programming learning by leveraging learning analytics at the International Workshop on Orchestrating Learning Analytics (OrLA): Learning Analytics Adoption at the Classroom Level in conjunction with LAK 2018 at The University of Sydney, Australia (LAK 2018)
- Research & Learn at Arizona State University: Predictions, Recommendations, Embeddings & Networks at Arizona State University’s EdPlus in Phoenix, Arizona, USA
- Targeting At-risk Students Using Engagement and Effort Predictors in an Introductory Computer Programming Course in European Conference on Technology Enhanced Learning in Tallinn University, Estonia (EC-TEL 2017)
- Innovative learning analytics research at a data-driven HEI at the Third International Conference on Higher Education Advances in Valencia, Spain (HEAd 2017)
- Presented at the 1st Ireland’s National Symposium on Learning Analytics: Bringing People Together, Exploring LA in Irish HE, 2017
- Crowdsource Programming Recommendations in Educational Analytics at the 3rd Insight Student Conference, Dublin City University, Dublin, Ireland (ISC 2016)
Other events
- Demoed at the Learning Analytics & Knowledge 2019 conference in Arizona State University
- Presented a poster at the 2019 Insight Review in NUI Galway
- Presented at the Dublin City University’s Teaching & Learning Day 2018
- Presented a poster at the International Conference on Artificial Intelligence in Education (AIED 2018)
- Demoed about Educational Analytics in Computer Science at the 1st. Insight Augmented Human Demonstrator Event in March 2017
- Attended the Fulbright Enrichment April 2018 Seminar Philadelphia, Pennsylvania, USA
- Attended the Amazon’s AWS re:Invent 2017 in Las Vegas, Nevada, USA
- Presented a poster at the Ireland’s Data Summit where I met Leo Varadkar the Taoiseach (Prime Minister) in Ireland
- Attended the Big Data and Analytics Summer School at University of Essex in September 2016 as a YERUN awardee
- Presented posters at Dublin City University’s Faculty of Engineering and Computing Research Day in 2017 and 2018