How an Artificially Intelligent Virtual Assistant Helps Students Navigate the Road to College

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 matricul...

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Main Authors: Lindsay C. Page, Hunter Gehlbach
Format: Article
Language:English
Published: SAGE Publishing 2017-11-01
Series:AERA Open
Online Access:https://doi.org/10.1177/2332858417749220
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author Lindsay C. Page
Hunter Gehlbach
author_facet Lindsay C. Page
Hunter Gehlbach
author_sort Lindsay C. Page
collection DOAJ
description 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.
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spelling doaj.art-423e9611c02d4af680212430bcdcf47c2022-12-21T21:03:39ZengSAGE PublishingAERA Open2332-85842017-11-01310.1177/2332858417749220How an Artificially Intelligent Virtual Assistant Helps Students Navigate the Road to CollegeLindsay C. PageHunter GehlbachDeep 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.https://doi.org/10.1177/2332858417749220
spellingShingle Lindsay C. Page
Hunter Gehlbach
How an Artificially Intelligent Virtual Assistant Helps Students Navigate the Road to College
AERA Open
title How an Artificially Intelligent Virtual Assistant Helps Students Navigate the Road to College
title_full How an Artificially Intelligent Virtual Assistant Helps Students Navigate the Road to College
title_fullStr How an Artificially Intelligent Virtual Assistant Helps Students Navigate the Road to College
title_full_unstemmed How an Artificially Intelligent Virtual Assistant Helps Students Navigate the Road to College
title_short How an Artificially Intelligent Virtual Assistant Helps Students Navigate the Road to College
title_sort how an artificially intelligent virtual assistant helps students navigate the road to college
url https://doi.org/10.1177/2332858417749220
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