AI AND GAMIFICATION: WHY STUDENTS CHEAT AND HOW TO REBUILD LEARNING

Please join in-person or online for this talk on AI and Gamification: Why Students Cheat and How to Rebuild Learning presented by Szymon Machajewski, Associate Director of Academic Technology and Learning Innovation at the University of Illinois Chicago. This talk is hosted by ACM Chicago and the ACM UIC student chapter and co-hosted by IEEE Chicago, IEEE Computer Society Chicago, and IEEE UIC student branch.

In-person event is at Computer Design Research Learning Center (CDRLC) Room 1413 on the University of Illinois Chicago campus.

Online is on Zoom, please see the Zoom link below:
https://acm-org.zoom.us/webinar/register/WN_T3howlYHRFGd3Ubtd6xjQQ#/registration

No Admission Charge.

Topic:
AI and Gamification: Why Students Cheat and How to Rebuild Learning

A candid look at the mechanics behind academic dishonesty in the AI era, connecting motivational gaps, task design, time pressure, and relevance to real-world work; pairs research-informed gamification strategies with authentic tasks to shift from "policing" to "learning." This deep dive into student motivation explores how AI and gamified learning environments can either reduce or amplify academic dishonesty, arguing that the opposite of cheating is authentic learning and offering strategies to reframe assessment through connection, relevance, and support.

Agenda:
(Times are Central Daylight Time)

5:30 - 6:00 Networking
6:00 to 6:05 PM Introductions
6:05 to 6:45 PM Talk
6:45 to 6:55 PM Q&A
6:55 to 7:00 PM Adjournment
7:00 to 7:30 PM Networking