FREE for Professors

Your Students Will Make Real Data-Driven Decisions.You'll Have the Evidence to Prove It.

The MIS/BIS simulation where students make data-backed decisions, compete in teams, and give you assessment evidence automatically.

Intro MIS/BIS · IS2020 + AACSB alignment · Live onboarding & same-day support

35+ Universities
13,000+ Students
Published Research
Instructor Console PreviewSample cohort data
MIS 101 · Section B · Turn 2 / 6AI Grading Active
Action PlanAnalysis Lab
Urban millennials · 2,340 / 48,000 rows · L2 Developing
Team 3L2 · Lab linked
84 / 100
Plan: Segment B from Lab profile; Consumer Survey + Purchase Behavior linked; forecast +3–4 pt lift.
AI: Segment B targeting matches linked purchase-behavior evidence; Lab artifact shows multi-condition filters. Forecast was realistic; execution aligned with the saved profile.
88
Strategic Approach
82
Expected Results
L2
Lab Depth
86
Execution
Team 1No Lab filters71
Team 5Plan not linked64
Team 2Broad outreach flagged58
Academic integrity

Assess the process, not an AI-written answer

Analysis Lab trails, structured Action Plans, and execution records make ChatGPT shortcuts visible.

How academic integrity works →
Curriculum fit

Built for core MIS, BIS & business computing syllabi

Undergraduate programs typically cover strategy, data, systems, and analytics, we map directly to those modules so chairs and instructors can place the simulation in existing outlines.

See IS2020 curriculum alignment →

Get Started in 3 Simple Steps

From signup to your first simulation in under 5 minutes

1

Sign Up Free

Create your instructor account in 60 seconds. No credit card, no commitment. Explore the full platform immediately.

2

Customize Your Course

Choose from pre-built templates or customize game length, datasets, and learning objectives to match your syllabus.

3

Invite Students

Share your course code or LMS integration link. Students register, pay a minimal fee, and you're teaching data analytics.

Start Your Free Account Now
Join 35+ instructors at leading universities • 13,000+ students educated

Why Professors Adopt MISSimulation

Less grading, clearer evidence, and a clean fit for intro MIS/BIS. See how instructors typically save 9–13 hours per semester below.

Research-Backed

Published in the Journal of Statistics and Data Science Education. Supports direct measures of student learning alongside your own rubric.

Quick Course Setup

Explore a free sample section in minutes. Pre-built templates aligned to IS2020 competencies. Works alongside Canvas, Blackboard, Moodle, or standalone.

Free for Instructors

No setup fees, no licensing costs. Department PO and NET30 invoicing available. Students pay only $28.99 USD for semester access.

Instructor time

Save 9–13 hours per semester on grading & AoL

AI Action Plan scoring, auto AoL exports, and free-rider alerts cut the busywork—walk through the workflow on the instructor overview.

See how instructors save time →

Full UI in 8 languages, EN, FR, ES, RU, PT, AR (RTL), ZH, HI. Lock section language or let students choose.

Join 13,000+ Students at Leading Universities Using MISsimulation

Serving Business Information Systems professors since 2016

...and many more leading institutions worldwide

Vs. general business sims

The IS layer Capsim and peers don't teach

General sims cover supply chain and finance. MISsimulation teaches how information systems drive those decisions—and generates the SLO evidence your course needs.

See the instructor overview →
Students collaborating on MISsimulationStudents collaborating on MISsimulation

Why Students Actually Complete This Assignment

Students stay engaged because each turn has visible stakes, team accountability, and immediate feedback on whether their analysis led to better outcomes.

🎯
Real Stakes, Real Investment

When students compete against classmates for market share, every decision matters. Wins and losses mean something, creating motivation you can't manufacture with textbook problems.

🔁
Learn by Applying

Research shows simulation-based learning improves knowledge retention. Students apply classroom concepts, experiment safely, and build confidence through hands-on practice.

Deadlines That Matter

Turn-based structure with real deadlines means students can't procrastinate because their competitors are acting. This creates natural pacing throughout the semester.

"I got more out of this class than out of any other online class I've ever taken"

- Student participant, Journal of Statistics and Data Science Education (2022)
Are you a student?

Learn what to expect and join your class

Go to Student Page
Pedagogical design

Analytical maturity ladder (L0–L3)

The simulation scores how rigorously teams segment data, not just whether they win. See the full ladder, leaderboard tie-in, and classroom debrief angles on the instructor overview.

How L0–L3 depth scoring works →
Peer-reviewed research

Validated in the Journal of Statistics and Data Science Education

A 2022 peer-reviewed study (DOI 10.1080/26939169.2022.2138799) reported significant gains in engagement and analytical skill—cite-ready evidence for curriculum committees.

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Practice mode

Practice before the graded run

Students complete a full practice simulation first—fewer first-turn mistakes, cleaner debriefs, and fewer grade disputes when the real competition starts.

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AI-resistant by design

Three steps AI can't fake

Analyze the island data → upload a targeted address list → execute. Blanket mass-targeting scores poorly; AI can't invent the CSV work or the Lab trail.

How academic integrity works →
Analysis Lab

Guided data exploration & dataset workflow

Students filter multi-source datasets in the built-in Lab or spreadsheet exports, then link artifacts to Action Plans. Walk through Step 2 (Acquire & Analyze) with examples on the instructor overview.

See the Analysis Lab walkthrough →
Automated assessment · AoL evidence

Depth scores from the Analysis Lab trail, not manual rubrics.

L0–L3 analytical maturity, filter logs, and CSV export map to direct measures for accreditation reviews.

See assessment & AoL on the instructor overview →
SLO mapping

Copy-paste SLOs and AoL evidence, ready for review

Every activity maps to measurable learning outcomes with exportable depth scores—built for syllabi, AoL binders, and accreditation self-studies.

Open the accreditation guide →
Curriculum alignment

Full Bloom's coverage in one assignment

From Remember through Create, every cognitive level is activated in the simulation workflow. See the full alignment on the IS2020 curriculum page.

See Bloom's & IS2020 alignment →
Semester logistics

Fits a 13–15 week semester without extra admin

No prerequisites, fast setup, flexible teams, and one instructor account across sections—details and kit materials on the instructor kit page.

Open the instructor kit →

Questions from Instructors Like You

Quick answers to help you decide if MISSimulation is right for your course

Can I try it myself before committing to my class?

Absolutely. Preview the instructor overview at /instructor-overview to see the student and instructor workflow before committing. Or, your free instructor account gives you full live access - all screens, all data, all AI feedback - with no credit card required.

How much class time does this require?

As much or as little as you choose. Many instructors run a 15–20 minute debrief discussion after each turn - students arrive with their results and the conversation writes itself. Others let the simulation run entirely asynchronously with no required class time. It's fully up to you.

What if students have technical issues?

We've got your back. Students get direct support access, and instructors have a dedicated support channel with 24-hour response time. Plus, there's a private instructor community to share best practices.

Do students need special software?

No special software required. The simulation exports standard CSV files that work with Excel, Google Sheets, OpenOffice, or any spreadsheet tool your class already uses. Students work in whatever environment they're most comfortable with.

Can I customize the difficulty level?

Fully adjustable. Control game length (4-13 turns), dataset complexity, required analysis depth, and grading rubrics. Perfect for both undergraduate and graduate courses.

What support resources do I get?

Everything you need: Complete teaching resources including assignment templates, grading rubrics, sample syllabi, video tutorials, and access to our instructor community forum.

Why does a campaign simulation work in a business or MIS course?

Because everyone already understands the stakes. The campaign format is one of the most effective teaching wrappers for MIS concepts precisely because students arrive with instant intuition about how it works - budgets, competition, targeting, and measurable outcomes are self-evident. That familiarity lets the course focus entirely on the analytical skills. The voter segments are customer segments. The districts are market regions. The budget is a resource-allocation problem. The case studies (Obama 2012, Target) show how these same techniques operate at scale in real organizations. Misland is a fictional island with fictional political parties - no real-world political content. Across 13,000+ student uses, we have not received documented reports of classroom friction attributable to this framing.

Is the platform FERPA and GDPR compliant?

Yes, and we can provide documentation. Student data is never sold and is not used to train AI models. We are FERPA-aware: student performance records are accessible only to the enrolled instructor and the student. For GDPR: data is processed under our Privacy Policy with appropriate international transfer safeguards. For institutions that require a formal Data Processing Agreement (DPA) or Privacy Addendum before approving third-party tools, email us at privacy@missimulation.com-we can provide one. See our full Privacy Policy. Privacy Policy.

How does grading work in a competitive format?

Grading is rubric-based, not zero-sum. A team's grade is determined by the quality of their analysis, the rigor of their decision rationale, and their use of data-not by whether they won the simulation. The included grading rubrics assess data interpretation, strategic reasoning, and budget justification independently of competitive outcome. One team winning does not reduce another team's grade. You can also weight participation, improvement over turns, and individual contribution scores however fits your course.

What does "LMS-ready" actually mean?

Embed link + grade import — not full LTI passback. Students open the simulation via an embeddable link or course code you share in Canvas, Blackboard, D2L, or Moodle—not a full LTI grade passback. The Instructor Kit includes setup guides for each LMS. After each turn, export a grade CSV and import it into your gradebook. Automatic gradebook sync is on our roadmap. No IT admin ticket required to get started.

What does the AI feedback actually say?

Substantive, rubric-anchored analysis. The AI scores each structured Action Plan against simulation evidence: targeting groups or imported Lab profiles, linked datasets, strategic role, forecasts, Analysis Lab depth, purchases, execution, and competitive context, not a standalone essay. Strong feedback cites verified numbers from the student's data and Lab trail. Weak feedback flags missing links, shallow Lab activity, or execution that contradicts the plan. You retain full oversight via exports and analytics; score overrides require justification.

How do you prevent free riders on teams?

Built-in accountability. The system tracks individual student activity: login frequency, actions created, time spent, and contribution rate. You'll see automatic alerts for inactive students or potential free riders before it's too late to intervene.

Do students get to practice before the graded simulation?

Yes, students run a complete practice simulation before their graded run. Their first real decision is informed, not experimental. You see their practice performance in the instructor dashboard and can identify struggling students before the grade matters.

How does AI scoring adapt to different course levels?

Three scoring modes match your course level: Forgiving mode for introductory and freshman courses (generous partial credit, positive framing), Moderate mode for standard undergraduate courses (balanced assessment), and Strict mode for advanced or graduate courses (rigorous evaluation against best practices). Set it once per section.

What is the refund policy for students?

If a student purchases an access code but hasn't activated their account yet, we're happy to process a refund-just contact support. Once the account is activated, access is non-refundable.

Still have questions?

Contact Our Team
Professor using MISsimulation

From the classroom

The point is the why: students leave understanding why the data matters and how it supports a decision under competition and incomplete information. Not lab steps they can finish without knowing why. Also free-riders, grading load, and one published student comment from JSDSE (2022).

Traditional labs teach the how: open the file, run the pivot, enter the transaction. Students still leave unable to say why that number should change a decision. Here they must use the data they have, justify the call, and see competitors respond. They leave knowing the why of data-driven decision making.

Pavel Platonov, Adjunct Professor of MIS and business technology, University of Manitoba and University of Winnipeg, with over 15 years of teaching experience

Free-riders and vague strategy writeups used to hide whether anyone understood the data. Participation and evidence-linked scoring show who can explain the why, not only who submitted a file. Class time goes to decisions and competitive read; students who engage leave ready to defend choices with data in real roles.

Pavel Platonov, Adjunct Professor of MIS and business technology, University of Manitoba and University of Winnipeg, with over 15 years of teaching experience

Great blend of interesting online tools, group work, lectures and hands-on learning

Student participant, Journal of Statistics and Data Science Education (2022)
Pricing

Free for instructors. One semester access fee for students.

No faculty or department license. Students pay a semester access fee; bookstore and access-code options available.

See full pricing →
AI feedback

Structured plans scored against process evidence

AI grades the four-step Action Plan against Lab depth, purchases, execution, and competitive context, not essay style. View example strong/weak feedback on the instructor overview.

See example AI feedback →
Syllabus fit

Align the simulation to your course outline

See how modules map to typical MIS, BIS, and business computing syllabi—plus ready materials in the instructor kit.

Browse instructor kit alignment →
Access options

Online card, bookstore code, or department bulk

Same semester access whether students pay on the site, redeem a campus bookstore access code (not a textbook), or use a department-issued code.

Compare access & pricing →

Evidence-Based Educational Design

Longitudinal study of 1,200+ students shows significant improvements in data literacy and student engagement.

Read the Full Peer-Reviewed Study →
2016
Active Since
13k+
Students Educated
35+
Universities
-46
Years of Innovation

Learn More on the Blog

Teaching tips for MIS, business information systems, and business computing courses, analytics pedagogy, data literacy, case studies, and experiential learning from instructors using MISSimulation.

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