This edWeb podcast is sponsored by Varsity Tutors.

The edLeader Panel recording can be accessed here.

Personalized learning has long been the gold standard in education—but for most educators, it’s also been out of reach. Time, staffing, and resource limitations have made it difficult to truly tailor instruction for every student. Artificial intelligence (AI) is changing that.

In this edWeb podcast, the final session of our three-part series, we explore how AI enables personalized learning at scale, giving educators the tools to meet every student where they are—and help them move forward with confidence. Join Anthony Salcito of Varsity Tutors and Mary Strain of Amazon Web Services as they demonstrate how AI is being used to:

• Pinpoint learning gaps and provide real-time, data-informed interventions
• Automatically adapt instruction based on student progress and engagement
• Support individualized pacing, practice, and enrichment
• Empower teachers with actionable insights to better support diverse learning needs

Whether you’re building out RTI/MTSS tiers, supporting multilingual learners, or simply looking to move beyond one-size-fits-all teaching, this session provides a future-ready framework for implementing scalable personalization in your schools. This edWeb podcast is of interest to K-12 school leaders, district leaders, and education technology leaders.

View part one: The State of AI in Education: A Journey from Resistance to Transformation
View part two: Harnessing AI to Empower Educators for Professional Growth and Student Success