CIC’s Doctoral Research Program is dedicated to human-centred Learning Analytics, working in close partnership with faculty academics. Our PhDs are critical to the team’s impact on teaching and learning, and we also host international students.
In 2016, CIC launched one of the world’s first doctoral research programs dedicated to Learning Analytics. In order to conceive, pilot and evaluate next generation Learning Analytics tools, our PhD students work in close partnership with academics who ensure that the tools are coherently integrated into teaching practice and student activities.
Shibani Antonette (2016—2019). Augmenting Pedagogic Writing Practice with Contextualizable Learning Analytics | CIC News | Now Senior Lecturer, University of Technology Sydney
Vanessa Echeverria Barzola (2016—2020). Designing Feedback for Collocated Teams using Multimodal Learning Analytics | CIC News | Now Postdoctoral Fellow, Monash University
Carlos Prieto Alvarez (2016—2020). Engaging Stakeholders in the Learning Analytics Design Process. | CIC News | Now Senior Learning Technologist, University of Sydney
Sophie Abel (2017—2022). Towards Automated Feedback on Students’ Research Writing: Theory, Design and Evaluation | CIC News | Now Learning Advisor, Macquarie University
Gloria Fernández Nieto (2019—2022). Automating Multimodal Data Storytelling for Embodied Team Learning. | CIC News | Now Postdoctoral Fellow, Monash University
Ben Hicks (2020—). Diagrammatic Causal Modelling in Learning Analytics. | CIC News |
Yuveena Gopalan (2021—). Professional Learning Analytics for Research Career Development. | CIC News |
Ram Ramanathan (2022—). Learning Analytics for Student Sense of Belonging. | CIC News |
Vincent Creighton (2025—). Generative AI for Leadership Coaching. | CIC News |
