AI Agents Pass Courses: Productive Struggle with Fear and Agency via Einstein AI and NotebookLM
AI agents are already completing coursework: submitting essays, watching lectures, and passing lower-division courses. This recorded webinar session helps educators move from panic to calibration. The Educause AI & Student Success Data Analytics community groups examine how open-source agent frameworks like OpenClaw and enterprise tools like Einstein AI expose gaps in traditional assessment design, then offer practical, agent-resistant alternatives using NotebookLM and the FLUFF/SPARK framework. Grounded in real benchmark data and institutional risk analysis (FERPA, Title IV, academic integrity), this session equips faculty and IT leaders with design strategies that outlast any specific AI tool.
Source: University of Illinois Chicago