Rate My Professor Roberto Martinez-Maldonado

Roberto Martinez-Maldonado is an Associate Professor and Senior Lecturer of Learning Analytics and Human-Computer Interaction in the Faculty of Information Technology, Department of Data Science & AI, at Monash University. A computer systems engineer by training, he earned his PhD in Information Technologies from the University of Sydney in 2014, focusing on Human-Computer Interaction and Educational Data Mining. He also holds a Master in Information Technologies Management from Universidad Tecmilenio in 2009 and a Bachelor of Science in Computer Systems Engineering from Instituto Tecnológico de Mérida in 2006. His career includes a Research Fellow position at the Connected Intelligence Centre, University of Technology Sydney from 2015 to 2019, and postdoctoral roles at the University of Sydney's Centre for Research on Computer Supported Learning and Cognition and Computer-Human Adapted Interaction group from 2013 to 2015. Earlier, he served as a lecturer and database administrator at Merida Technology Institute in Mexico.

Martinez-Maldonado's research specializes in learning analytics, human-centred AI, collaborative learning, data storytelling, and multimodal activity traces for classrooms and healthcare. He develops analytics dashboards, warning systems, and tools to assess collocated teams using sensing technologies. His innovations include multi-tabletop classrooms and user-identification for large displays. Key publications encompass 'METS: Multimodal Learning Analytics of Embodied Teamwork Learning' (2023), 'Human-centred learning analytics and AI in education: A systematic literature review' (2024), 'Storytelling With Learner Data: Guiding Student Reflection on Multimodal Team Data' (2021, IEEE Transactions on Learning Technologies), 'Moodoo: Spatial Classroom Analytics for Characterising Teachers’ Pedagogical Approaches' (2021, International Journal of Artificial Intelligence in Education), and 'Analytics of Self-Regulated Learning in Learning Analytics Feedback Processes' (2025). With over 12,352 citations on Google Scholar, his work influences education and data science. Awards include Best Full Paper at LAK 2022 and AIED 2020, National Researcher Level 1 from CONACYT Mexico (2016-2021), and Outstanding Reviewer at CHI 2017. He contributes to program committees for LAK 2022 and AIED 2018, and has featured in ABC Radio discussions on AI in classrooms. He teaches courses like FIT2099 Object-Oriented Programming.