David Azcona
Postdoctoral Researcher - david.azcona@dcu.ie
Fulbright Visiting scholar - david.azcona@asu.edu

My publications

I refer you to my projects for a description of the publications and their context.

Journal papers (with referee)

  1. 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
  2. Casey, K., & Azcona, D. (2017). Utilizing student activity patterns to predict performance. International Journal of Educational Technology in Higher Education, 14, 4. PDF BibTeX
  3. 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)

  1. Azcona, D., Moreu, E., Hu, F., Ward, T., & Smeaton, A. F. (2019). Predicting Media Memorability using Ensemble Models. CEUR Workshop Proceedings. PDF BibTeX
  2. Azcona, D., Arora, P., Hsiao, I.-H., & Smeaton, A. (2019). User2Code2Vec: Embeddings for Profiling Students Based on Distributional Representations of Source Code. In Proceedings of the 9th International Conference on Learning Analytics & Knowledge (pp. 86–95). New York, NY, USA: ACM. PDF BibTeX
  3. Azcona, D., Hsiao, I.-H., & Smeaton, A. F. (2018). Modelling Math Learning on an Open Access Intelligent Tutor. In The 19th International Conference on Artificial Intelligence in Education (AIED 2018). PDF BibTeX
  4. Azcona, D., Hsiao, I.-H., & Smeaton, A. F. (2018). Personalizing Computer Science Education by Leveraging Multimodal Learning Analytics. In Frontiers in Education (FIE 2018). PDF BibTeX
  5. Azcona, D., Hsiao, I.-H., & Smeaton, A. F. (2018). An Exploratory Study on Student Engagement with Adaptive Notifications in Programming Courses. In European Conference on Technology Enhanced Learning (EC-TEL’18). NY, USA: Springer. PDF BibTeX
  6. Vance, Y., Azcona, D., Hsiao, I.-H., & Smeaton, A. F. (2018). Predictive Modelling of Student Reviewing Behaviors in an Introductory Programming Course. In Educational Data Mining in Computer Science Education Workshop (CSEDM’18). PDF BibTeX
  7. Vance, Y., Azcona, D., Hsiao, I.-H., & Smeaton, A. F. (2018). Learning by Reviewing Paper-based Programming Assessments. In European Conference on Technology Enhanced Learning (EC-TEL’18). NY, USA: Springer. PDF BibTeX
  8. Azcona, D., Hsiao, I.-H., & Smeaton, A. F. (2018). PredictCS: Personalizing Programming learning by leveraging learning analytics. In Companion Proceedings of the 8th International Learning Analytics & Knowledge Conference (LAK’18). ACM. PDF BibTeX
  9. Azcona, D., Corrigan, O., Scanlon, P., & Smeaton, A. F. (2017). Innovative learning analytics research at a data-driven HEI. In Third International Conference on Higher Education Advances (HEAd’17). Editorial Universitat Politècnica de València. PDF BibTeX
  10. Azcona, D., & Smeaton, A. F. (2017). Targeting At-risk Students Using Engagement and Effort Predictors in an Introductory Computer Programming Course. In European Conference on Technology Enhanced Learning (EC-TEL’17) (pp. 361–366). NY, USA: Springer. PDF BibTeX

Demos

  1. Azcona, D., Moreu, E., Hsiao, I.-H., & Smeaton, A. F. (2019). CoderBot: AI Chatbot to Support Adaptive Feedback for Programming Courses. Companion Proceedings of the 9th International Learning Analytics & Knowledge Conference (LAK’19). ACM. PDF BibTeX

Under review

  1. Azcona, D., Corrigan, O., Scanlon, P., & Smeaton, A. F. (2019). Educational Analytics in a University Environment: Experiences of Some Real Deployments. Digital Learning in Irish Higher Education. BibTeX
  2. 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. IEEE Transactions on Learning Technologies (TLT) Special Issue on Early Prediction and Supporting of Learning Performance. BibTeX
  3. Azcona, D., Moreu, E., Hsiao, I.-H., & Smeaton, A. F. CoderBot: AI Chatbot to Support Adaptive Feedback for Programming Courses. The 20th International Conference on Artificial Intelligence in Education (AIED 2019). BibTeX

Awards

Organization

Selected presentations

Other events