How an Artificially Intelligent Virtual Assistant Helps Students Navigate the Road to College. (November 2017)
- Record Type:
- Journal Article
- Title:
- How an Artificially Intelligent Virtual Assistant Helps Students Navigate the Road to College. (November 2017)
- Main Title:
- How an Artificially Intelligent Virtual Assistant Helps Students Navigate the Road to College
- Authors:
- Page, Lindsay C.
Gehlbach, Hunter - Abstract:
- Deep reinforcement learning using convolutional neural networks is the technology behind autonomous vehicles. Could this same technology facilitate the road to college? During the summer between high school and college, college-related tasks that students must navigate can hinder successful matriculation. We employ conversational artificial intelligence (AI) to efficiently support thousands of would-be college freshmen by providing personalized, text message–based outreach and guidance for each task where they needed support. We implemented and tested this system through a field experiment with Georgia State University (GSU). GSU-committed students assigned to treatment exhibited greater success with pre-enrollment requirements and were 3.3 percentage points more likely to enroll on time. Enrollment impacts are comparable to those in prior interventions but with substantially reduced burden on university staff. Given the capacity for AI to learn over time, this intervention has promise for scaling personalized college transition guidance.
- Is Part Of:
- AERA open. Volume 3:Number 4(2017)
- Journal:
- AERA open
- Issue:
- Volume 3:Number 4(2017)
- Issue Display:
- Volume 3, Issue 4 (2017)
- Year:
- 2017
- Volume:
- 3
- Issue:
- 4
- Issue Sort Value:
- 2017-0003-0004-0000
- Page Start:
- Page End:
- Publication Date:
- 2017-11
- Subjects:
- college access -- summer melt -- artificial intelligence -- nudge -- randomized controlled trial
Education -- Research -- Periodicals
370.7205 - Journal URLs:
- http://ero.sagepub.com/ ↗
http://www.uk.sagepub.com ↗ - DOI:
- 10.1177/2332858417749220 ↗
- Languages:
- English
- ISSNs:
- 2332-8584
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8256.xml