David Sterling

David Sterling

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This module taught me to shift from simply delivering content to actively facilitating learning. I realized that lecturing through dense topics like digital distribution across multiple platforms causes cognitive overload and kills engagement. I plan to apply this by matching digital tools to my learning objectives. 

This module taught me to shift from simply delivering content to actively facilitating learning. I realized that lecturing through dense topics causes cognitive overload and kills engagement. I plan to apply this by intentionally matching digital tools to my learning objectives. 

This module has fundamentally shifted my perspective on how I design and deliver live online classes. My biggest takeaway is the necessity of moving from being a "content deliverer" to an active "learning facilitator." I realized that when I try to push through dense entertainment business topics like film distribution financials or backend profit participation using a traditional lecture format, student engagement drops and cognitive overload sets in.
 
I also learned the immense value of intentional "chunking." Breaking content into short, manageable segments and immediately pairing them with interactive tools is not just a nice-to-have; it is essential for… >>>

This module really shifted my perspective on how I run my live online classes. I realized I was sometimes falling into the trap of just delivering content, especially when covering dense topics like film distribution financials. My biggest takeaway is the importance of shifting from being the sole source of information to actively facilitating the learning process.
 
I intend to apply this immediately by leaning more heavily on tools like GeminiLM to support my students. Instead of just reteaching complex homework concepts the same way, I am now using GeminiLM to build customized learning aids. For example, I prompt… >>>

This module really shifted my perspective from just knowing the basics of AI to understanding how the advanced mechanics actually work behind the scenes. Learning about concepts like transfer learning and explainable AI was a major eye opener for me. It made me realize that we cannot just accept AI outputs at face value. We need to understand how the system arrived at that conclusion.

This module really shifted my focus from just understanding what AI is to actually figuring out how to use it strategically. Learning about advanced concepts like Explainable AI and Multimodal AI was a huge realization for me. 
 
I plan to bring these practical strategies directly into my classroom. For example, I am going to teach my students the rough draft method with Generative AI. Instead of letting the tool do all the heavy lifting, they will use it to build a basic outline and then step in to add their own creative direction. I also want to train them… >>>

This module really changed how I look at AI. I see AI as a practical partner in the entertainment business. My biggest takeaway was realizing how AI can handle tedious administrative tasks. I will try using it for things like workflow optimization or brainstorming. 
 
Moving forward, I plan to bring these types of applications into my classroom. I want to teach my students to enhance their critical thinking and ethical framework and apply that so they can use these tools responsibly. My goal is to help them use AI in the future with confidence.

The biggest takeaway for me was reinforcing the notion that AI is at its best when it acts as a collaborator, supporting human judgment rather than trying to replace it. I apply this to both my teaching and my work in the entertainment industry. I use AI to build out real-world case studies, refine assignments, dig into audience trends, and brainstorm fresh concepts. At the same time, I’m keeping a critical eye on all the LLMs I utilize, as they always need to be double-checked for accuracy. I realize that I must rely on my experience to make the final… >>>

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