In meetings, how often does this happen?
You’re asked:
“Is there a way to automate this?”
“Can we track this better?”
“Is there a tool that can handle such and such?”
And the answer is usually…
“Not exactly.”
But here’s the shift:
There could be. And you can build it.
We’ve moved beyond just using AI tools.
We’re now in a position to create them.
With today’s ecosystem, you don’t need a full engineering team to get started:
• Large Language Models like ChatGPT
• AI-powered development environments like Replit
• Low-code tools and API-driven workflows
What used to take months can now start in hours.
But here’s the key:
It’s not just about the tools. It’s about the framework.
This is where my research comes in.
I’m developing an approach called AI-Augmented Exploratory Learning (AAEL):
Ask → Adapt → Analyze
• Ask the right questions
• Adapt with AI-generated solutions
• Analyze results and refine
This isn’t about replacing expertise.
It’s about amplifying it.
With the right learning process, you and your preferred LLM can collaborate to build:
• Custom data pipelines
• Predictive models
• Workflow automation tools
• Research agents
• Educational platforms
There’s a learning curve.
But once you cross it, something changes:
You stop asking,
“Is there a tool for this?”
And start saying,
“I’ll build it.”
Robert Foreman
Doctoral Student, Educational Technology
Central Michigan University
Research Focus: AI-Augmented Exploratory Learning (AAEL) and the development of AI-supported learning systems for professional and technical education.
Explore my work:
https://nhancedata.com
📧 forem1r@cmich.edu
#AAEL #EdTech #ArtificialIntelligence #DoctoralResearch #BuildInPublic #AIinEducation #LearningFrameworks #DataAnalytics #NhanceData