AI Personalised Online Education in 2026 (Webinar)

Event Overview

AI-driven personalisation has moved from “nice to have” to a core expectation in online education. In this Edu AI webinar, we’ll unpack what personalisation looks like in 2026, how it’s implemented across modern learning platforms, and how educators and teams can use it responsibly to improve outcomes. You’ll see how today’s best systems adapt content, pace, practice, and support in real time—while still keeping human teaching at the centre.

We’ll start with a clear map of the personalisation stack: learner profiling, content tagging, recommendation engines, formative assessment loops, and feedback generation. From there, we’ll explore concrete use cases such as adaptive pathways (different learners reaching the same objective via different sequences), just-in-time micropractice, personalised revision plans, multilingual support, and AI tutoring that reinforces course pedagogy rather than replacing it. We’ll also discuss what’s changed in 2026: more multimodal learning signals, better orchestration across tools, and tighter expectations around transparency, privacy, and measurable impact.

What you’ll learn

• How AI personalisation works end-to-end: data signals, models, rules, and evaluation
• Design patterns for adaptive courses that remain aligned to curriculum standards
• How personalised feedback can be made consistent, rubric-based, and bias-aware
• Metrics that matter: mastery, time-to-competence, confidence, and retention
• Common pitfalls (over-personalisation, learner dependence, cold-start issues) and how to avoid them
• Practical governance: consent, data minimisation, audit trails, and human oversight

Who should attend

• Educators and instructional designers building or revising online courses
• Training and L&D teams rolling out scalable learning programs
• EdTech product managers, founders, and developers planning personalised features
• Academic leaders and administrators evaluating AI adoption and policy
• Students and lifelong learners curious about how personalised learning is shaped

What to prepare

• Join from a laptop/desktop with a stable connection and updated browser for Google Meet
• Bring one course, module, or training challenge you want to personalise (even a rough outline)
• Optional: a sample rubric or assessment you currently use for feedback and grading
• Be ready to participate in a short interactive segment and live Q&A

By the end of the session, you’ll have a practical framework to evaluate personalisation claims, a checklist for implementing AI features ethically, and a set of immediately usable ideas for improving learner experience on Edu AI and beyond. Seats are limited—reserve your spot and join us live on Google Meet.