Refers to the practice by which individuals or criminal actors enroll in postsecondary courses or programs under fictitious or stolen identities (i.e., ghost students), occupy class seats, and sometimes obtain financial-aid benefits — yet never intend to participate in the courses or complete the credential. These fraudulent or fictitious enrollments exploit institutional admissions and aid systems, diverting spots and resources meant for actual learners, and can impose significant operational and financial risk on colleges and universities.

In ghosting situations:

• The “student” profile may be entirely synthetic (fabricated) or created using stolen personally identifiable information such as Social Security numbers, names, and birthdates.
• After admission and enrollment, the fake student may register for one or more courses (often online or asynchronous) but will not engage (e.g., no attendance, login, assignment submission) — or may engage just enough (sometimes using automation or AI tools) to avoid early detection.
• Once enrolled, the actor uses the enrolled status to apply for and receive financial aid (federal, state, institutional) or other funds, then disappears (or becomes dormant) before meaningful academic progress is made.
• The presence of ghosting students can displace legitimate students (by filling class seats), create distortions in enrolment data (giving a false sense of demand or success), trigger regulatory or audit risks (especially around aid disbursement), and cause identity theft harms to victims whose credentials were used without their knowledge.

In an era of increasing online- and hybrid-learning options, streamlined application processes, and large public financial-aid programs, higher education institutions are more vulnerable to ghosting students. For instance, in the U.S., community-colleges with open admission and minimal identity verification have reported large volumes of suspicious applications and ghost enrollments. The effects ripple across the learn-and-work ecosystem: financial-aid funds intended for actual upskilling and reskilling are diverted, actual learners may be blocked from essential courses or delayed, and institutional trust is eroded. In addition, organizations that rely on accurate institutional data (e.g., for workforce-development partnerships, credential tracking, analytics) may obtain misleading signals.

Note: The term should not be confused with the more colloquial term, “ghosting” when a student simply drops out or ceases participation while enrolled.

See Topic Brief: Ghosting Students (Ghost Students) | Learn & Work Ecosystem Library