Outcome Networks
Outcome Network: Quantitative Reasoning
Not owned by one department. Contributed to by many. Departments are dead. Learning outcomes cross every boundary.
Contributing Courses
6
Departments
4
Students Reached
880
Overall Proficiency
61%
Below Threshold
68
Outcome Network Map
Hover to explore connections. Line weight = contribution percentage. Solid = primary, dashed = supporting.
| Course | Department | Role | Students | Proficiency | Weight |
|---|---|---|---|---|---|
| Calculus I | Mathematics | Primary | 187 | 68% | 35% |
| Statistics | Mathematics | Primary | 142 | 64% | 30% |
| General Chemistry I | Chemistry | Supporting | 210 | 57% | 12% |
| Principles of Micro | Economics | Supporting | 168 | 61% | 10% |
| Research Methods | Psychology | Supporting | 95 | 53% | 8% |
| Ecology | Biology | Supporting | 78 | 59% | 5% |
Cross-Department Insights
AI-generated patterns invisible within any single department
Students who take Statistics before Research Methods score 23% higher on statistical inference.
Calculus I and Gen Chem stoichiometry share 4 sub-skills. Students struggling in one are likely struggling in both — but no one coordinates.
68 students are below threshold in quantitative reasoning across 3 departments. Only the Math dept knows about 22 of them.
Outcome Steward
Dr. Min-Jun Park
Quantitative Reasoning Steward · Cross-Department Authority
Not a department chair. A steward of a learning outcome. Sees every student, every course, every department that touches quantitative reasoning. One person. One view. Total visibility.
Steward’s View: 68 Students Below Threshold
22
Mathematics
18
Chemistry
14
Economics
14
Psychology
Before Campus OS, each department only saw their own slice. The steward sees all 68.
Recommended Cross-Departmental Actions
Coordinate shared remediation for stoichiometry + integration sub-skills
Recommend Statistics before Research Methods in advising pathways
Deploy cross-department quantitative reasoning diagnostic
Share Ecology population modeling exercises with Calculus I for applied context
Departmental Silos
Mathematics sees 22 struggling students
Separate intervention. No coordination.
Chemistry sees 18 struggling students
Separate intervention. No coordination.
Economics sees 14 struggling students
Separate intervention. No coordination.
Psychology sees 14 struggling students
Separate intervention. No coordination.
68 students. 4 separate interventions. Zero coordination. Nobody connects the dots. A student struggling in Gen Chem stoichiometry and Calculus integration is getting two unrelated emails from two departments that don’t talk to each other.
One Outcome Network
All 68 students visible. One view.
One outcome steward. Full cross-department authority.
One coordinated response
AI identifies shared sub-skills causing the gap.
Shared remediation, not duplicated effort
4 overlapping sub-skills addressed once, not four times.
The outcome doesn’t care about your org chart. When you organize around what students need to learn, not who reports to whom, you see what was always there but invisible.
Institutional Learning Outcomes
Each outcome is a network like the one above. Every bar represents dozens of courses, thousands of students, and connections no org chart captures.
Quantitative Reasoning
61%Currently viewing this network
Critical Thinking
67%Written Communication
72%Ethical Reasoning
58%Scientific Literacy
65%Information Literacy
71%Oral Communication
69%Global Awareness
63%