ATLASAssessing student investment projects
A ranking tells you who earned the most, not who learned the most. Combining platform data with a report and a presentation gives you a fuller picture.
Use the data the platform already has
Activity by student, sections used, proposals, votes and messages are available in the dashboard. They show who took part and how, which is hard to see in a normal group project.
A short written report
Ask each team for a short report on its strategy, key decisions and main takeaways. The IE challenge asked for a PDF of up to three pages.
A team presentation
A five-minute presentation plus questions tests whether the team understands its own portfolio. Questions from a jury expose reasoning more than a slide can.
A mid-challenge review
Halfway through, hold a review: look at the rankings, ask teams to explain a recent decision and clarify rules. It prevents late surprises and shows students that process counts.
Combine into a grade
A common split gives weight to participation, the quality of reasoning in the report and presentation, and a smaller weight to final return, so luck does not decide the grade.
Frequently asked questions
Should the grade depend on the final return?
We suggest it carries a small weight at most. Return over a short period depends heavily on luck, so reasoning and process are better measures of learning.
How are individual contributions assessed in a team?
Through the record of proposals, votes and messages for each member, plus peer observations if you wish.
Can students submit files on the platform?
Yes. Assignments can define the file types accepted and the deadline, including rules for late work.
Related guides and terms
Run a challenge in your course or club
Tell us your dates, your students and your goals. ATLAS sets up the rules, the teams and the ranking, and you follow the whole class from one dashboard.
ATLAS challenges are educational simulations: they use virtual money and are not investment advice. Not investment advice. ATLAS estimates are produced by statistical models from public data; they can be wrong and past performance does not predict future results. Consider your own situation before investing. Disclaimer