Step into a role
Students begin by choosing a discipline and entering a realistic professional setting connected to Lowell, MCC, and the Merrimack Valley.
An MCC simulation education experiment
What if career learning felt less like a lecture and more like a living decision?
MCC Decision Lab places students inside professional roles where every choice has tradeoffs. Instead of only reading about management, finance, hospitality, education, or public service, students experience pressure, uncertainty, limited resources, and the need to reflect.
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career pathways
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decision turns
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Paralegal Studies
Bob · Lead Paralegal
Week 2 of 16
Round 1/4
⏰ Work Hours
97
Three Cases, One Court Date Problem
It is Tuesday morning at a Merrimack Valley law office. Three hearings have landed on the same day, but only one attorney can appear in court. Your choices will affect case progress, client trust, accuracy, and the firm’s reputation.
Good decisions depend on understanding and .
Key terms
The core idea
Simulation makes invisible professional judgment visible.
Many career decisions are not simple right-or-wrong questions. They involve competing goals: people, budgets, timelines, ethics, community impact, and personal stress. MCC Decision Lab turns those tensions into a playable environment that students can discuss, analyze, and improve from.
For a general audience, the simplest way to describe the project is this: students practice judgment before the stakes are real.
How the model works
Four simple moves: choose, see consequences, reflect, try again.
Manage limited resources
Every simulation has performance meters and a limited action resource. Students can act boldly, compromise, or wait, but each path has a cost.
Watch outcomes unfold
Choices change the meters. Some decisions help one goal while harming another, creating the kind of tension professionals face in the real world.
Pause for reflection
Students periodically explain their thinking. That reflection helps instructors see not only what students chose, but why they chose it.
Under the hood
A generative AI that writes each student's next scenario.
Most simulations follow a fixed script. MCC Decision Lab does something different. After every choice, a generative AI model reads what the student decided, compares it with everything they have done earlier in the session, and uses those patterns to write the next scenario specifically for them.
A student who keeps picking the safest option will eventually meet a situation where playing it safe costs something real. A student who keeps choosing bold moves will run into a moment where boldness backfires. The result is a simulation that presses back, instead of the same branching story every student walks through.
This is what makes the experience feel less like a quiz and more like a profession. The scenarios adapt to the learner, so the judgment a student practices is their own.
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Student decides
A choice is made under pressure — often imperfect, always revealing.
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AI reads the pattern
The model weighs this decision against every previous one to infer the student's tendencies.
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Next scenario is written
A fresh situation is generated that tests exactly the muscle this student needs to develop.
Pathways students can explore
One platform, many professional worlds.
Live embedded tool
Try MCC Decision Lab without leaving this page.
The simulation below is embedded from the live Replit app. If the frame does not load in a particular browser, use the button to open it directly in a new tab.
For teaching and research
Instructors can examine patterns, not just scores.
The instructor side can summarize completed sessions, decision styles, reflections, and student pathways. That makes the tool useful not only as a learning activity, but as a way to study how students reason through tradeoffs.
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Decision style
Example class snapshot
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I realized I kept choosing the safest option, even when the situation called for a bigger move.
For a newspaper audience
Why this is interesting beyond the classroom
Community colleges prepare students for complicated work and civic life. A simulation like this gives students a low-risk place to practice difficult decisions, then gives instructors a window into how students think under pressure. The larger experiment is not about replacing teaching with technology. It is about using technology to create richer conversations about judgment, responsibility, and real-world consequences.
ReadablePlain-language scenarios
LocalLowell and Merrimack Valley contexts
ReflectiveBuilt-in pauses for student thinking