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AI and Learning: Creating Meaningful Educational Experiences with Juliette Denny
Traditional learning methods often struggle to keep learners engaged—rigid formats, passive content, and a lack of personalization. But could AI offer a better way? In this episode of Innovation Tales, we sit down with Juliette Denny, a trailblazer in learning technology, to explore how AI is revolutionizing education and corporate training. From gamification to personalized learning at scale, Juliette shares how her latest venture, Zavmo.ai, is rethinking engagement and unlocking human potential.
Key Takeaways
By tailoring learning to each individual’s interests, job roles, and goals—rather than delivering generic content—organizations can capture learners’ attention more effectively. This personalized, context-rich approach helps sustain focus and ensures new knowledge is internalized.
While large language models enable automation at scale, true impact comes from combining them with proven instructional frameworks (like Bloom’s taxonomy). Relying on AI alone risks inaccuracies or shallow learning; curating high-quality content and applying neuroscience-backed design ensures outcomes remain rigorous and meaningful.
AI-driven tools don’t replace teachers or trainers; instead, they free them up to focus on deeper mentorship and creativity. By automating repetitive tasks and personalizing content, AI allows educators to guide learners more effectively while honoring the timeless basics of how the human brain learns and retains knowledge.
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By Alexandre NevskiTraditional learning methods often struggle to keep learners engaged—rigid formats, passive content, and a lack of personalization. But could AI offer a better way? In this episode of Innovation Tales, we sit down with Juliette Denny, a trailblazer in learning technology, to explore how AI is revolutionizing education and corporate training. From gamification to personalized learning at scale, Juliette shares how her latest venture, Zavmo.ai, is rethinking engagement and unlocking human potential.
Key Takeaways
By tailoring learning to each individual’s interests, job roles, and goals—rather than delivering generic content—organizations can capture learners’ attention more effectively. This personalized, context-rich approach helps sustain focus and ensures new knowledge is internalized.
While large language models enable automation at scale, true impact comes from combining them with proven instructional frameworks (like Bloom’s taxonomy). Relying on AI alone risks inaccuracies or shallow learning; curating high-quality content and applying neuroscience-backed design ensures outcomes remain rigorous and meaningful.
AI-driven tools don’t replace teachers or trainers; instead, they free them up to focus on deeper mentorship and creativity. By automating repetitive tasks and personalizing content, AI allows educators to guide learners more effectively while honoring the timeless basics of how the human brain learns and retains knowledge.