Projects per year
Roberto Martinez-Maldonado is Senior Lecturer of Learning Analytics and Human-Computer Interaction in the Faculty of Information Technology at Monash University. Before the current post, he was a full-time researcher at the Connected Intelligence Centre (CIC) and data visualisation lecturer at the University of Technology, Sydney (UTS). He obtained his doctorate degree in 2014 from the Computer Human Adapted Interaction Research Group (CHAI) at the University of Sydney, Australia. He previously worked on Prof. Peter Goodyear’s Australian Research Council (ARC) Laureate Fellowship program – ‘Learning, technology and design: architectures for productive networked learning’ at Centre for Research on Computer Supported Learning and Cognition (CoCo) in the University of Sydney.
A computer system engineer by training and skills, Roberto’s developments are aimed at finding the match between the best blended learning pedagogies and the advantages that emerging technologies may offer to provide continued support for learning on and off campus.
Roberto’s current research is in the area of Learning and Teamwork Analytics, in which he utilises his expertise in human-computer interaction, collaborative learning and artificial intelligence. In the past years, his main aim has been to develop methods for assessing and enhancing the performance of collocated teams by making key multimodal activity traces visible and available for computational analysis. Roberto’s innovations have included the design of analytics dashboards, warning systems and data storytelling tools to be used in regular classrooms and in healthcare. More recently, his research has pioneered the application of co-design methods at the intersection of education and data science.
Here’s a link to his most recent publications.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Human-Computer Interaction and Educational Data Mining, Doctor of Philosophy, University of Sydney
Award Date: 10 Nov 2014
Information Technologies, Master in Information Technologies Management, Universidad Tecmilenio (UTM) (Tecmilenio University)
Award Date: 3 Jun 2009
Engineering, Bachelor of Science in Computer Systems Engineering, Instituto Tecnológico de Mérida
Award Date: 7 Sep 2006
Research area keywords
- Learning Analytics
- Artificial Intelligence in Education
- Collaborative Learning
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- 3 Active
Damsa, C., Makitalo, A., Smørdal, O., Moen, A., Coh-Horvath, M., Günterberg Heyn, L., Eide, H., Langford, M., Martinez-Maldonado, R., Gasevic, D., Eagan, B., Muukkonen, H., Janssen, J. & van Leeuwen, A.
1/12/21 → 30/11/25
Yan, L., Martinez-Maldonado, R., Gallo Cordoba, B., Deppeler, J., Corrigan, D. & Gašević, D., 2022, (Accepted/In press) In: British Journal of Educational Technology. 20 p.
Research output: Contribution to journal › Article › Research › peer-reviewOpen Access
Palominos, E., Levett-Jones, T., Power, T. & Martinez-Maldonado, R., 11 May 2022, (Accepted/In press) In: Collegian. 5 p.
Research output: Contribution to journal › Article › Research › peer-review
Dick-Smith, F., Power, T., Martinez-Maldonado, R. & Elliott, D., Jan 2021, In: Nurse Education in Practice. 50, 9 p., 102957.
Research output: Contribution to journal › Review Article › Other › peer-review
Challenges and opportunities of multimodal data in human learning: the computer science students' perspectiveMangaroska, K., Martinez-Maldonado, R., Vesin, B. & Gašević, D., Aug 2021, In: Journal of Computer Assisted Learning. 37, 4, p. 1030-1047 18 p.
Research output: Contribution to journal › Article › Research › peer-reviewOpen AccessFile
Yan, L., Martinez-Maldonado, R., Cordoba, B. G., Deppeler, J., Corrigan, D., Nieto, G. F. & Gasevic, D., 2021, LAK 2021 Conference Proceedings - The Impact we Make: The contributions of learning analytics to learning: The Eleventh International Conference on Learning Analytics & Knowledge. Scheffel, M., Dowell, N., Joksimovic, S. & Siemens, G. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 43-54 12 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review