
Preparing IT Students to Excel in an AI-driven Workplace
Students have never been more connected to technology. They navigate apps, social media and digital platforms with ease. Yet many information technology educators continue to face a common challenge: students who appear digitally fluent often lack confidence when learning to use workplace technologies effectively.
For Jason Davidson, Assistant Professor of Business Technology and Analytics at Butler University and Pearson Author of the Exploring Microsoft 365 series, building that confidence is a critical part of preparing students for success.
"As an educator, what keeps me motivated is watching students grow to be the best versions of themselves," he says. "I really love helping students find the confidence to excel and go into the workplace and immediately make a difference on day one."
From Digital Comfort to Workforce Readiness
Davidson sees a challenge many educators will recognize: students often arrive in the classroom comfortable with everyday technology, but less confident using the workplace tools they will need in their careers. This gap becomes especially clear when students begin working with Excel.
"Excel is not a program that one would use for recreation," Davidson explains. "It's very much a popular business tool."
For many students, formulas and functions can make Excel feel intimidating, unfamiliar, and overly technical. When that perception takes hold, they may mistake the normal challenges of learning for a lack of ability. For educators, this reframes the issue: early struggles are often less about capability and more about confidence.
Why Experiential Learning Works
As AI and data tools become part of everyday work, employers increasingly need graduates who can do more than follow instructions. Experiential learning helps students build the confidence and judgement to interpret results, communicate insights, and apply technology to real-world business problems.
"What makes the Exploring Series unique is the emphasis on experiential learning," Davidson says. "We really want the students to dig deeper than just a surface level understanding."
Davidson wants students to "truly master what you can do in Excel to immediately gain actual insights that will help them advance their career, their business, and live their dreams."
This is where experiential learning becomes a bridge to career readiness. Excel is not the destination. It is a vehicle for teaching students how to analyze information, solve problems, and make informed decisions with data.
In an AI-driven workplace, those skills matter more than ever. As tools make it easier to generate outputs, the differentiator becomes the human work around those outputs: asking the right questions, confirming results, and communicating insights responsibly.
A Confidence-First Approach with MyLab
Davidson uses MyLab IT simulations and grader projects to help students build confidence through practice. He describes the simulations as an “opening confidence booster” because they let students work at their own pace and receive immediate feedback in a supportive environment.
"What I like about The Sims is it's a simulated environment that is stress free for the students," he says. "It has built-in learning aids. The students can work at their own pace and they get immediate feedback."
Immediate feedback helps students build momentum and become more comfortable learning through mistakes.
As students gain confidence, Davidson introduces MyLab grader projects, which requires students to complete work directly in the Excel environment. The progression mirrors what students will encounter outside the classroom, helping them move from guided practice to authentic application.
Together, MyLab IT simulations and grader projects guide students from confidence-building practice to real-world application, helping them demonstrate their skills in ways that reflect the workplace.
AI Literacy with Purpose
As AI reshapes education and the workplace, Davidson believes students need more than access to new tools. They need AI literacy and judgement to use them effectively.
"AI literacy has become so important in the current academic landscape," he says.
In his courses, AI is not treated as an answer machine. Students learn to evaluate outputs critically, recognize when AI is useful, and understand where its limitations lie.
That means using AI ethically, understanding data governance, and validating information rather than accepting AI-generated responses at face value. As the tools become more powerful, Davidson argues, judgement becomes even more important.
MyLab IT’s AI Literacy Modules and Copilot Pro Simulations support this approach by teaching students how to use AI tools responsibly, validate results, and cite AI ethically and effectively. Each completed module is recognized with a Credly badge, giving students a workforce credential they can carry beyond the classroom.
For Davidson, the opportunity is not to replace learning, but to help students engage with it more critically and confidently.
Beyond the Classroom
Davidson’s approach reminds educators that effective learning is not only about teaching students what to do. It is also about helping them believe they can do it, then giving them meaningful opportunities to apply their skills.
By combining experiential learning, confidence-building practice, authentic application, and responsible AI literacy, Davidson helps students prepare not just to use Excel, but to work thoughtfully with data in an increasingly AI-driven world.
The result is simple but powerful: when students build confidence first, they are better prepared to learn, adapt, and contribute from day one and throughout their careers.







