| Presentation Proposal - NACADA Annual Conference |
| Presentation Info and Handouts |
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Code=99
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Conference Year:
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2026
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Session #:
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()
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Title:
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Can AI Free Advisors for What Matters Most? |
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Lead Presenter:
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Loida McDuffie |
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Date:
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December 31, 1969 Time: 6:00 pm - 6:00 pm |
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Room:
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Abstract:
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As advising demand grows, institutions are exploring whether artificial intelligence can redirect, rather than replace, human advising effort. This session shares findings from an applied research pilot of an AI-supported advising tool designed to answer low-complexity, transactional questions and escalate high-complexity, high-stakes cases to human advisors.
Using mixed data sources, including anonymized tool usage, advisor interaction surveys, and student feedback, the study examined how inquiry patterns, advisor workload, and advising touchpoints changed over time. The session will highlight examples of questions best suited to AI versus those requiring human judgment and will describe the guardrails and escalation criteria used to protect student wellbeing. Participants will leave with concrete ideas for how AI-supported advising might be piloted or evaluated in their own institutional contexts. |
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Handouts
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Note: Handouts (if offered for this session) are accessible via the conference app. |
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