Education

Course Recommendation Agent

Helps students plan their academic path by recommending courses based on degree requirements, prerequisites, interests, and scheduling constraints. Reduces advising bottlenecks and helps students graduate on time.

Capabilities

  • Analyze remaining degree requirements and suggest courses to fulfill them
  • Check prerequisite chains to ensure recommended courses are eligible for the student
  • Factor in student schedule constraints (work schedule, preferred class times, campus vs. online)
  • Balance course load difficulty based on historical grade distributions and student preferences
  • Identify courses that satisfy multiple requirements simultaneously (elective + minor + gen-ed overlap)
  • Alert students to courses with limited availability that should be registered for early
  • Suggest electives based on career interests and skills development goals
  • Generate semester-by-semester plans for remaining degree completion

Integrations

Banner / PeopleSoft / Workday Student (degree audit and course catalog)Canvas / Blackboard (course enrollment and grade data)Rate My Professors / internal course evaluations (course quality signals)Google Calendar (student schedule availability)

Guardrails

  • Recommendations are suggestions, not official academic advising — students are directed to meet with their advisor before finalizing registration
  • FERPA compliance — course history and grade data are accessible only to the authenticated student and authorized advisors
  • Does not override departmental restrictions, instructor permissions, or enrollment caps
  • Acknowledges limitations when degree requirements are ambiguous and directs to the relevant academic department

Configurable Fields

  • Degree program requirements and prerequisite maps
  • Course catalog with scheduling, modality (in-person, online, hybrid), and enrollment caps
  • Course difficulty signals (historical grade distributions, student reviews, workload estimates)
  • Career pathway to elective mapping for interest-based recommendations
  • Maximum course load rules by student classification (full-time, part-time, academic probation)

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