Mariya Gluzman: How Notebook LM Can Support Teaching & Learning
Impossible d'ajouter des articles
Désolé, nous ne sommes pas en mesure d'ajouter l'article car votre panier est déjà plein.
Veuillez réessayer plus tard
Veuillez réessayer plus tard
Échec de l’élimination de la liste d'envies.
Veuillez réessayer plus tard
Impossible de suivre le podcast
Impossible de ne plus suivre le podcast
Mariya Gluzman: How Notebook LM Can Support Teaching & Learning
-
Lu par :
-
De :
À propos de ce contenu audio
In this episode, I’m joined by Mariya Gluzman to explore how educators can use Notebook LM to support—not replace—student thinking.
We discuss how AI is shifting instruction from product to process, and how tools like Notebook LM can help structure deeper learning, safer AI use, and more intentional instructional design.
- AI should supplement thinking, not replace it
- Traditional plagiarism detection is no longer reliable → task design must change
- Strong instruction in an AI era = process, scaffolding, and feedback loops
- NotebookLM creates a closed, source-based AI environment for learning
- Educators can use AI to generate:
- AI can act as a “study buddy” to support skill development
- The real shift is from knowing about AI → learning with AI
The challenge isn’t access to AI—it’s designing learning experiences where AI enhances thinking instead of bypassing it.
Mariya Gluzman LinkedIn Page
Brooklyn College Academic Information Technologies
Music by Aylex
Aucun commentaire pour le moment
