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CSUNny chatbot speeds registration but leaves persistence unchanged

In a four-year trial with 8,708 CSUN students from 2018, the CSUNny chatbot raised timely class registration by up to 34 percentage points but had no detectable effect on grades or persistence.

  • 1 for a person

    Reminders made students more likely to register for classes and Early Start by the deadlines studied, but credits, grades, persistence and graduation did not change.

Depth runs from 1, a convenience or time saved, to 5, a life or a livelihood preserved.

Status
Partly reported benefit.
Evidence

foundstudiedreportedclaimed, the grade of this record

Only the deployer supports the benefit.

Compared with

Control-group students who received only the university's standard communications. Measured.

The system’s part
Not isolated. Students were randomly assigned to the chatbot or to the university's standard communications. The estimates cover the whole service, including campaigns written by staff and answers that staff supplied. The paper describes the AI as non-generative matching of questions to a knowledge base with a probability threshold. It does not describe the model.
Not yet checked
LimitsCosts and harmsLearns from dataLater outcome
Benefit type
Increased Access to Education
System
CSUNny, CSUN's AI-enabled text-message chatbot on the Mainstay platform
Made by
Mainstay (formerly AdmitHub)
Used by
California State University, Northridge (CSUN)
Where
Northridge, Los Angeles, California, United States
Stage
In routine use
Date
, when the source was published
Kind
Aggregate result
Broad benefit
Communicating with People Outside the Organization
Last revised
1 November 2026

Sources

  1. Report, by the organization that used it.

    Mata C, Russell E, Page LC. Sustaining AI-Enabled Student Support: A Four-Year Implementation and Impact Study. EdWorkingPaper 26-1409, version 2, July 2026, Annenberg Institute at Brown University. doi:10.26300/b0dp-sn77. Supported by the Kresge Foundation. Emily Russell is at California State University, Northridge.

    Students remain receptive over time, and impacts are concentrated in improved completion of time-sensitive administrative tasks, with no detectable effects on academic performance or persistence.

Details

AI system

Workflow

A chatbot team of CSUN staff and faculty wrote and sent the campaigns. Offices such as the registrar and financial aid supplied lists of students for targeted reminders. The chatbot answered questions that matched its knowledge base and flagged the rest for a staff member.

Follow-up

Conditions for replication

The task must be time-sensitive and required for continued enrollment, such as registering for classes. Campus offices must share student data so that targeted reminders reach the students who still need to act.

Entry details

Sector

Education.

Purpose

Mainstay built CSUNny for California State University, Northridge, to send students text-message outreach and to answer their questions from a campus knowledge base.

31 more questions not yet checked

model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.

Cite this record

Peter H. Vartanian. (2026). CSUNny chatbot speeds registration but leaves persistence unchanged (AIBD-1154). Artificial Intelligence Benefits Database, edition of 1 November 2026. https://petervartanian.xyz/aibd/records/AIBD-1154.html (archived at https://doi.org/10.7910/DVN/AADSII, version 7.0)

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