🔥 The Hot Take
The industry is waking up to the potential of AI, but let's be real: most L&D teams aren't ready. We're still wrestling with basic data literacy and content strategy. Before chasing the shiny object, focus on the fundamentals. Build a solid data foundation, streamline your content workflows, and *then* explore how AI can augment your efforts. Otherwise, you're just automating a mess.
This week, the conversation centered on AI's growing role in instructional design and how L&D can scale without exploding costs. Plus, insights into the evolving role of the CLO in a rapidly changing work environment.
The Conversation
This episode explores how L&D is becoming more strategic as organizations navigate constant change and evolving skill requirements.
Why it matters: Hear directly from a CLO about the challenges and opportunities shaping the future of the function.
Dr. Heidi Scott discusses the shift from traditional Learning and Development to a more expansive model of Learning and Discovery, driven by AI.
Why it matters: Understand the philosophical shift needed to leverage AI effectively in learning.
Deep Reads
This article explores strategies for scaling L&D programs efficiently, including managed learning services, automation, and data-driven insights.
Why it matters: Practical advice for maximizing impact while minimizing budgetary strain.
Tools & Tech
A tutorial on building an L&D dashboard in Excel to track and visualize HR data.
Why it matters: Get practical guidance on leveraging existing tools for better L&D analytics.
A look at how instructional designers are utilizing AI tools in real-world learning programs.
Why it matters: See concrete examples of AI's application in the ID process.
Watch List
An introduction to the Curriculum-as-Code (CaC) model for scalable instructional design.
Why it matters: Explore a potentially transformative approach to curriculum development.
Don't get distracted by hype. Focus on building a strong foundation for data-driven, scalable learning.
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