Impactful Personalised Learning. It's about Time.

Date: 31 July 2026, Friday

Time: 12pm - 1pm

Synopsis

Personalised learning goes beyond the tailoring content or pathways, and includes enabling learners to actively shape their own learning experiences. Central to this is self-regulated learning (SRL)—the process through which students set goals, manage time, monitor progress, and adapt strategies across complex and often fragmented contexts. Personalised learning is effective only when learners are supported to regulate their attention, effort, and persistence over time. In this framing, SRL becomes the engine that connects motivation with meaningful learning outcomes.

Drawing on qualitative research, survey findings, and early feedback from a small-scale field study, this presentation explores how learning intentions may translate into action through time management. We propose that attention fragmentation is a feature of modern student life, not simply a bug to eliminate. There is an opportunity to co-design systems that draw from students’ intrinsic motivation while supporting planning, re-entry, recovery, and follow-through, enabling educators to cultivate even more meaningful learning over time.

Speaker

Dr Tirath Ramdas (Chamomile AI)

Dr Tirath Ramdas is the Founder of Chamomile AI. He has led software R&D across big tech, startups, and academia, with prior roles at Google, HP, Acunu, Bromium, RMIT University, University of Zurich, and Monash University. His work focuses on applied AI, human-centred software, and research-led product development. With Tidalic.com ↗ (opens in new tab), he investigates how technology can help learners manage time, attention, and self-regulated learning across fragmented modern learning environments.