Step-by-Step Success: Creating Your Submission

Emily Thompson

Welcome back to Seminole Insights. I’m Emily, and as always, I’m here with my co-host Carlos.

Carlos Bennett

Hey everyone! Today’s episode is all about the process for creating your writing submission. We’ll break it into clear steps, talk about what works—and what doesn’t—and even discuss some real examples to help you nail this assignment.

Emily Thompson

That’s right. And this time, I’ll be the one asking questions while Carlos takes the lead. So, Carlos, ready to dive in?

Carlos Bennett

Absolutely! Let’s get started.

Emily Thompson

Alright, Carlos, first things first—how do students get started on this submission?

Carlos Bennett

Great question. The first step is to upload the case and the assignment instructions into a Generative AI model. Think of this as setting the stage. You’ll need to write a clear and focused prompt that tells the AI exactly what organizational behavior issue you want to address—whether it’s trust, communication, motivation, conflict, stress, or another concept from the course.

Emily Thompson

So it’s not just uploading and hitting go?

Carlos Bennett

Exactly. The instructor has provided a document with the instructions to give the AI. Whatever the AI gives back becomes your baseline, which you’ll save as Part 1 of your submission.

Emily Thompson

And that response is just the starting point, right?

Carlos Bennett

Right. The AI response gives you a baseline, but it’s your job to take it further. That’s where Part 2, the Augmented Response, comes in.

Emily Thompson

Let’s talk about Part 2—enhancing the AI response. What’s the key to doing this well?

Carlos Bennett

The key is depth. You’re taking the AI’s baseline response and improving it by adding more relevant examples, tying in course concepts, and making the analysis clearer and more nuanced.

Emily Thompson

Can you give us an example?

Carlos Bennett

Sure. Let’s say the AI points out that there is a motivation problem, but doesn’t explain why it is occurring. You’d enhance the response by explaining what that means and showing how those inconsistencies affect employee morale or retention, using management theories we’ve covered in class.

Emily Thompson

So, you’re not just fixing mistakes—you’re adding value?

Carlos Bennett

Exactly. This is your chance to showcase your expertise. The best augmented responses don’t just edit—they transform the AI’s output into something much more insightful and tailored.

Emily Thompson

Are you required to stick to the ideas and topics that the AI generates?

Carlos Bennett

Absolutely not! In fact, in many cases you probably shouldn't. Keep in mind, this assignment is all about how you add value beyond the AI. The instructions say you should focus on a small set of problems and go deep. Well if the AI gives you four different problems, you're going to want to discard most of those and focus on the most important one.

Emily Thompson

Alright, Carlos, let’s move on to Part 3: the reflection. What are students supposed to focus on here?

Carlos Bennett

The reflection is all about showing your critical thinking. You’ll evaluate the AI’s response—what it got right, where it missed the mark, and how you improved it.

Emily Thompson

And how detailed should this be?

Carlos Bennett

Very detailed. Talk about the specific strengths of the AI's response, as well as the limitations you noticed like if the AI’s response lacked depth or missed key connections to management concepts. Then, explain exactly how you addressed those issues. This is your opportunity to highlight your process and the steps you took to elevate the response.

Emily Thompson

So, it’s not just about critiquing the AI. It’s about showing what you learned and how you applied it.

Carlos Bennett

Absolutely. The reflection is where you connect the dots between the AI’s limitations, your improvements, and your understanding of the material.

Emily Thompson

Alright, Carlos, let’s talk about those examples. First off, those are from a different class, right? What can students learn from them?

Carlos Bennett

The examples are a great way to see what works—and what doesn’t. Yes, they're from a different class, so the content is different. But the assignment structure is the same, so they're still useful. For instance, Example 1 and Example 3 are both A-quality submissions. They focus on a narrow set of problems and solutions, which allows for much more depth and clarity.

Emily Thompson

And what about Example 2?

Carlos Bennett

Example 2 isn’t bad, but it’s more of a B-quality submission. The main issue is that it lets the AI’s initial response drive the analysis. Instead of focusing on a few key problems, it tries to address too many, which waters down the overall quality. Remember what I said earlier. If the AI tries to do too much, it's up to the student to rein that in.

Emily Thompson

And that's what Example 3 shows, right?

Carlos Bennett

Exactly. Example 2 and 3 both use the same AI response, but Example 3 shows what to do when the initial AI response isn't focused enough.

Emily Thompson

So the takeaway is to stay focused and go deep, right?

Carlos Bennett

Exactly. Both Example 1 and Example 3 show how a focused approach leads to richer analysis and better solutions. Example 3 is especially strong because it uses a structured format, like “Problem 1, Solution 1, Problem 2, Solution 2.” But whether you choose that style or a narrative like Example 1, the key is making the information clear and easy to follow.

Emily Thompson

Well, that’s it for today’s episode, folks! We’ve walked through the submission process, discussed how to enhance the AI’s output, and even learned from past examples.

Carlos Bennett

Remember, this assignment is all about building your skills as an management professional. Follow the steps, stay focused, and don’t be afraid to dig deep.

Emily Thompson

Thanks for joining us on Seminole Insights. Next time, we're going to talk about the grading rubric.

Carlos Bennett

See you next time.