Detecting students-at-risk in computer programming classes with learning analytics from students’ digital footprints D Azcona, IH Hsiao, AF Smeaton User Modeling and User-Adapted Interaction 29, 759-788, 2019 | 113 | 2019 |
Utilizing student activity patterns to predict performance K Casey, D Azcona International Journal of Educational Technology in Higher Education 14, 1-15, 2017 | 90 | 2017 |
user2code2vec: Embeddings for profiling students based on distributional representations of source code D Azcona, P Arora, IH Hsiao, A Smeaton Proceedings of the 9th International Conference on Learning Analytics …, 2019 | 60 | 2019 |
Personalizing computer science education by leveraging multimodal learning analytics D Azcona, IH Hsiao, AF Smeaton 2018 IEEE Frontiers in Education Conference (FIE), 1-9, 2018 | 38 | 2018 |
Targeting at-risk students using engagement and effort predictors in an introductory computer programming course D Azcona, AF Smeaton Data Driven Approaches in Digital Education: 12th European Conference on …, 2017 | 30 | 2017 |
A comparative study of existing and new deep learning methods for detecting knee injuries using the MRNet dataset D Azcona, K McGuinness, AF Smeaton 2020 International Conference on Intelligent Data Science Technologies and …, 2020 | 25 | 2020 |
Predicting media memorability using ensemble models D Azcona, E Moreu, F Hu, TE Ward, AF Smeaton CEUR Workshop Proceedings, 2020 | 24 | 2020 |
Micro-analytics for student performance prediction D Azcona, K Casey Int. J. Comput. Sci. Softw. Eng 4 (8), 218-223, 2015 | 14 | 2015 |
Innovative learning analytics research at a data-driven HEI D Azcona, O Corrigan, P Scanlon, A Smeaton Proceedings of the 3rd international conference on higher education advances …, 2017 | 12 | 2017 |
PredictCS: personalizing programming learning by leveraging learning analytics D Azcona, IH Hsiao, AF Smeaton ACM, 2018 | 9 | 2018 |
An exploratory study on student engagement with adaptive notifications in programming courses D Azcona, IH Hsiao, A Smeaton European Conference on Technology Enhanced Learning, 644-647, 2018 | 6 | 2018 |
Learning by reviewing paper-based programming assessments YV Paredes, D Azcona, IH Hsiao, A Smeaton European Conference on Technology Enhanced Learning, 510-523, 2018 | 5 | 2018 |
Predictive modelling of student reviewing behaviors in an introductory programming course YV Paredes, D Azcona, IH Hsiao, AF Smeaton Educational Data Mining in Computer Science Education (CSEDM) Workshop, 2018 | 5 | 2018 |
Artificial Intelligence in computer science and mathematics education D Azcona Dublin City University, 2019 | 2 | 2019 |
Modelling math learning on an open access intelligent tutor D Azcona, IH Hsiao, AF Smeaton Artificial Intelligence in Education: 19th International Conference, AIED …, 2018 | 2 | 2018 |
Brand Recommendations for Cold-Start Problems Using Brand Embeddings D Azcona, AF Smeaton Proceedings of SAI Intelligent Systems Conference, 724-733, 2022 | | 2022 |
A Smart-Site-Survey System using Image-based 3D Metric Reconstruction and Interactive Panorama Visualization S Yu, K McGuinness, P Moore, D Azcona, N O'Connor Proceedings of the 28th ACM International Conference on Multimedia, 4512-4514, 2020 | | 2020 |
Predictive modelling of student reviewing behaviors in an introductory programming course Y Vance Paredes, D Azcona, IH Hsiao, AF Smeaton | | 2018 |