Student-centered recruitment infrastructure
Supporting student-centered AI research with transparent recruitment.
This system supports an academic study on how students understand and use artificial intelligence by ensuring recruitment is ethical, auditable, and minimally intrusive.
We study AI from the student perspective: how it’s used, understood, and felt in real educational contexts. This page documents the recruitment infrastructure behind that work, tracking outreach patterns while avoiding the collection of personally identifying data.
Research Signals
Recruitment integrity checks
Basic anomaly indicators to detect recruitment issues, not profile participants.
Privacy
Irreversible network hashing
No raw IPs, no cookies, no fingerprinting. The system tracks patterns, not people.
Lightweight by Design
Low operational overhead
Recruiters can be onboarded quickly without adding ethical complexity.
What This System Observes
Recruiter-level signals to support research integrity.
Visit logging: device type, referral source, anonymized network hash.
Recruiter activity: 24-hour and 7-day outreach patterns (QR vs link).
Survey compatibility: recruiter-specific survey URLs.
Evidence exports: CSV summaries for internal review.
Ethics note
Designed for IRB-aware workflows. It avoids identity resolution, fingerprinting, or profiling.
Methodology
Recruitment infrastructure for a student-centered AI study.
This system supports a research project examining how students engage with artificial intelligence in academic and personal contexts. Each recruiter is issued a unique link and QR code. Visits are logged with minimal technical context to assess outreach quality and detect obvious misuse without collecting personally identifying information or influencing participant responses.
Signals captured
- • Device mix and referral source
- • 24-hour activity patterns
- • Approximate unique visit counts (hashed)
- • CSV exports for internal review
This system supports an academic research project conducted through Kingsborough Community College.