Great ideas, like great coffee, take time to brew
Teaching and research are no different
Teaching and research are no different
Embracing AI in Research and Teaching
Artificial Intelligence (AI) is changing the way we work, think, and learn. In research, it helps us process massive amounts of data, uncover patterns, and generate insights faster than ever before. In teaching, it opens new possibilities, automating tasks, personalizing learning, and even acting as a tutor. But with these opportunities comes a responsibility: How do we guide students to use AI in a way that enhances, rather than replaces, critical thinking?
I believe AI should not be seen as a shortcut, but as a tool, just like a calculator in math or a search engine for information. It should assist in learning, not do the learning for us. In my classes, I encourage students to explore AI but to question its outputs, compare them with traditional sources, and understand its limitations. AI is powerful, but it is not always correct. It lacks judgment, creativity, and the ability to truly think. That’s where human intelligence comes in.
Instead of banning AI, we should teach students how to use it effectively, how to check for bias, verify facts, and integrate AI-generated content with their own ideas. Learning how to work with AI, rather than depend on it, will prepare them for the future. It’s not about replacing traditional learning methods but expanding them. Reading, writing, debating, and critical analysis remain essential. AI is just another layer one that, if used wisely, can make learning deeper and more engaging.
As educators and researchers, our job is not just to transfer knowledge but to help students develop the skills to think independently. AI will continue to evolve, but the ability to ask the right questions, challenge assumptions, and create original ideas will always matter. That’s what we should focus on.
Rethinking Business Education in the Age of AI
As artificial intelligence becomes more common in everyday business tools, from writing product descriptions to analyzing customer data, I keep thinking about what this means for business education. What should we really be teaching our students today? It’s tempting to introduce flashy tools or focus on the latest tech trends. But the real challenge is deeper: how do we help students develop the judgment to use AI wisely, not just efficiently?
In my marketing classes, I have seen students get excited when they discover what AI tools can do. But I’ve also seen something else: overconfidence. Some students assume AI is always right. Others rely on just one tool, usually the one they’ve heard of, like ChatGPT, without comparing it to other platforms or questioning the output.
That’s where teaching comes in. I believe our role isn’t to say “use this tool” or “don’t use that one.” Instead, we need to help students slow down and think:
Where is this information coming from?
What’s missing?
Could another tool give a different answer?
Is this result accurate or just persuasive?
In my classes, I encourage students to explore multiple platforms, from general-purpose LLMs like Claude and Gemini to more specialized AI tools for content writing, design, or market research. Some of them discover tools I’ve never even heard of, and that’s the point. The goal isn’t to keep up with every new AI release. It’s to help students become flexible, curious, and thoughtful users of technology.
I’m still learning myself, and every semester brings new surprises. But I’ve noticed that when students compare different tools, debate their strengths and weaknesses, and connect them to real-world tasks, their thinking becomes sharper. They start asking better questions, not just about AI, but about marketing strategy, ethics, and communication.
In short, I don’t want students to treat AI like a shortcut. I want them to see it as a partner, one that still needs human insight, creativity, and responsibility to produce good results.