Student Course Selection Guidance Copilot

AI-assisted course planning and accessibility support that helps students navigate requirements, compare course options, and receive guidance tailored to language, reading, and learning needs while aligning with formal accommodations and reducing repetitive advising workload.

The Problem

“Student Course Selection Guidance Copilot for accessible, requirement-aware academic planning”

Organizations face these key challenges:

1

Thousands of course sections and many majors make planning confusing

2

Students struggle to interpret prerequisites, degree rules, and exceptions

3

Advisors spend time on repetitive planning questions instead of complex cases

4

Accessibility needs vary across language, reading level, and learning preferences

Impact When Solved

Reduce repetitive advising questions about requirements, prerequisites, and course comparisonsImprove accessibility with simplified explanations, multilingual support, and alternative content presentationIncrease student self-service for course discovery, degree progress understanding, and schedule planningProvide policy-grounded responses using official catalog, degree audit, and accommodation resources

The Shift

Before AI~85% Manual

Human Does

  • •Search catalogs, degree audits, and advising pages to interpret requirements and prerequisites
  • •Compare course options, schedules, and workload manually for each term
  • •Answer repetitive student questions about GE rules, sequencing, and registration constraints
  • •Review accommodation documents and explain support processes separately from course planning

Automation

    With AI~75% Automated

    Human Does

    • •Approve exceptions, substitutions, and edge-case planning decisions
    • •Confirm formal accommodation determinations and support plan changes
    • •Review advisor-ready term plan options for complex or at-risk students

    AI Handles

    • •Answer course, prerequisite, GE, and policy questions using official university sources
    • •Generate accessible explanations, translated summaries, and step-by-step planning checklists
    • •Compare course and schedule options against degree progress, constraints, and student preferences
    • •Flag approval-required cases and prepare summaries for advisor review

    Operating Intelligence

    How it works

    AI runs the first three steps autonomously.

    Humans own every decision.

    The system gets smarter each cycle.

    Confidence92%
    ArchetypeRecommend & Decide
    Shape6-step converge
    Human gates1
    Autonomy
    67%AI controls 4 of 6 steps

    Who is in control at each step

    Each column marks the operating owner for that step. AI-led actions sit above the divider, human decisions and feedback loops sit below it.

    Loop shapeconverge

    Step 1

    Assemble Context

    Step 2

    Analyze

    Step 3

    Recommend

    Step 4

    Human Decision

    Step 5

    Execute

    Step 6

    Feedback

    AI lead

    Autonomous execution

    1AI
    2AI
    3AI
    5AI
    gate

    Human lead

    Approval, override, feedback

    4Human
    6↺ Loop
    AI-led step
    Human-controlled step
    Feedback loop
    TL;DR

    AI handles assembly, analysis, and execution. The human gate sits at the decision point. Every cycle refines future recommendations.

    The Loop

    6 steps

    1 operating angles mapped

    Operational Depth

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