Education – Course Feedback & Program Evaluation Workflow
End-of-term evals that students actually finish. Questions adapt based on answers, wrap up when the student checks out, and deliver feedback faculty can act on.
End-of-Term Trigger
Students receive a secure survey link (LMS, email, SMS). Cohort, course, and instructor metadata prefill.
“Tell us about your experience in BIO201 with Prof. Nguyen.”
Adaptive Core Questions
Starts with overall rating; branches into targeted areas depending on rating and comments.
AI: “How would you rate your instructor?”
Targeted Probing
If 3/5, asks about communication, grading, or materials. If 5/5, jumps to highlights and optional suggestions.
Rating 3/5 → AI: "What could be improved: communication, grading, or materials?"
Fatigue Detection & Early Stop
If a student starts giving one-word answers, the survey ends gracefully instead of dragging on. Better to get five honest responses than ten phoned-in ones.
AI: "Thanks. Captured feedback on grading clarity and workload. Anything else to add?"
Insight Grouping
Auto-categorizes feedback into communication, course design, workload, assessments, and resources for faculty dashboards.
Dashboard: ‘Workload concerns spiking in Weeks 5–6; materials clarity improved vs. last term.’
Faculty Actions
Surfaces suggested actions (rubric examples, pacing tweaks) and tracks follow-through.
Recommendations: ‘Clarify grading rubric; add formative quiz in Week 3.’
Key Benefits
Transform your workflow with these powerful advantages
Students give real answers because the survey doesn't waste their time
Faculty see 'grading clarity' and 'workload pacing' issues, not raw comment dumps
Completion rates go up because disengaged students aren't forced through 40 questions
Compare this term's feedback to last term's, by instructor, by topic