Education – Course Feedback & Program Evaluation Workflow
Collect richer student feedback with adaptive prompts, fatigue-aware completion, and faculty-ready insights grouped by communication, design, and workload.
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
Detects disengagement and ends once coverage threshold is met; offers a quick summary confirmation.
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
Higher quality feedback with fewer questions
Category-level insights that faculty can act on
Reduced drop-off via fatigue detection
Trend tracking across terms and instructors