Dr Vanessa Echeverria

Post-doctoral Research Fellow

Monash University

Hi!  I'm Dr Vanessa Echeverria.

I am a post-doctoral Research Fellow in the Centre for Learning Analytics at Monash University, Australia and an Assistant Professor at ESPOL, Ecuador.

My research is focused on the design, development, and evaluation of digital technologies that are customized to meet the specific needs of stakeholders. I delve into the richness and complexity of both physical and digital environments, utilizing advanced analytics and user-centered design methods to capture behavioral and interactional multimodal data through a variety of sensors, devices, and software. These data streams are complex yet informative and provide critical insights that support the development of digital tools (i.e., dashboards) designed to enhance and extend the capabilities of our stakeholders.

My work is situated in a transdisciplinary research space where I leverage the disciplines of Human-Computer Interaction (HCI) and Artificial Intelligence (AI), fostering co-design approaches with users to ensure that intelligent solutions are not only adaptable but also adopted according to users' needs. The practical applications of my research have been applied in educational contexts, from K-12 to higher education, by supporting the development of STEM skills, advancing healthcare education, and facilitating team-based learning.

Research Interests


       University of Technology, Sydney 🇦🇺
       KULeuven 🇧🇪
       Escuela Superior Politécnica del Litoral 🇪🇨

📢 News

🆕 Our workshop Data Storytelling for Learning Analytics Dashboards (DS-LAK24) got accepted! 

Join us in Kyoto, Japan, for a half-day workshop to discuss the promise and challenges of data storytelling in educational dashboards. 

We are accepting submissions! The deadline is 16 Dec 2023. Read the full CFP here.

🆕 Our workshop on Multimodal Learning Analytics across spaces (CrossMMLA @LAK24) got accepted! 

       Join us in Kyoto, Japan, for a full-day workshop to discuss methods for multimodal learning analytics. Read the full CFP here.