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ERIC Number: EJ1294362
Record Type: Journal
Publication Date: 2021-May
Pages: 11
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0361-0365
EISSN: N/A
Are Artificially Intelligent Conversational Chatbots Uniformly Effective in Reducing Summer Melt? Evidence from a Randomized Controlled Trial
Nurshatayeva, Aizat; Page, Lindsay C.; White, Carol C.; Gehlbach, Hunter
Research in Higher Education, v62 n3 p392-402 May 2021
Our field experiment extends prior work on college matriculation by testing the extent to which an artificially intelligent (AI) chatbot's outreach and support to college students (N = 4442) reduced summer melt and improved first-year college enrollment at a 4-year university. Specifically, we investigate which students the intervention proves most effective for. We find that the AI chatbot increased overall success with navigating financial aid processes, such that student take up of educational loans increased by four percentage points. This financial aid effect was concentrated among would-be first-generation college goers, for whom loan acceptances increased by eight percentage points. In addition, the outreach increased first-generation students' success with course registration and fall semester enrollment each by three percentage points. Our findings suggest that proactive chatbot outreach to students is likely to be most successful in reducing summer melt among those who may need the chatbot support the most.
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://bibliotheek.ehb.be:2123/
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: Department of Education (ED)
Authoring Institution: N/A
Grant or Contract Numbers: P334S12000316
What Works Clearinghouse Reviewed: Meets Evidence Standards without Reservations