Find the next step and get back to learning.

TAIF Learning Lab is a collaborative team assessment platform for higher education. Students interpret evidence, discuss plausible alternatives, commit to a team decision, reveal immediate feedback, and learn through reconsideration and explanation.

Yes. The public demo presents one short evidence-based decision in about two minutes. It does not require a class code or save anything to a real assessment.

TAIF Learning Lab is currently available through controlled invitations. Public registration is not available.

The chosen team leader uses the assessment code to create a team. Students joining a team that already exists use the team code shared by the leader or instructor. For a pre-assigned team, a present team member uses its supplied team code and confirms attendance.

Scratching commits the team’s selected answer and reveals immediate correct or incorrect feedback. If the answer is incorrect, the team discusses the remaining choices and can try again for reduced credit.

TAIF keeps the team’s authoritative progress on the server and attempts to reconnect automatically. When the device returns, it rejoins the team’s current question, attempts, scratches, and marks.

Create a class, add or import students when a roster is needed, review the class defaults, create an assessment, prepare questions and participation, preview the session, then launch it. Run mode helps you monitor and recover the live room before you close and review results.

Yes. Enable open participation for an assessment when students should create their own teams without an imported roster. TAIF marks those assessment records as unmatched.

The About & Research page explains the original study and how the paper-based approach informs the digital platform.