When students can summarize a chapter, explain a concept, or find an answer in seconds, how do we ensure they are still engaging deeply with what they learn?
New Pearson research analyzing nearly 80 million interactions from approximately 400,000 higher education students offers an encouraging perspective. Students who used AI study tools intentionally designed around learning science were significantly more likely to engage in active reading behaviors, including highlighting, note-taking, asking questions, and practicing retrieval. The findings suggest that thoughtfully designed AI can do more than provide answers; it can encourage students to engage more actively in the learning process.
In this conversation, Pearson learning researcher Dr. Emily Lai will join educators and academic experts to explore what the research tells us about active reading and student engagement—and what it means for teaching in an AI-enabled world.
Together, panelists will discuss how educators can help students:
- Engage more deeply with complex texts and course materials
- Understand why active reading, retrieval, reflection, and productive struggle matter for learning
- Develop stronger metacognitive awareness and independent learning habits
- Use AI and digital tools to support understanding rather than bypass the learning process
Attendees will leave with research-based insights and practical strategies for helping students move beyond passive consumption toward deeper engagement, stronger learning habits, and more meaningful understanding.
