Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Artificial Intelligence | 1 |
| College Bound Students | 1 |
| College Freshmen | 1 |
| Educational Technology | 1 |
| Enrollment | 1 |
| Information Dissemination | 1 |
| Program Effectiveness | 1 |
| Student Characteristics | 1 |
| Technology Uses in Education | 1 |
Source
| AERA Open | 1 |
Author
| Gehlbach, Hunter | 1 |
| Page, Lindsay C. | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Secondary Education | 1 |
Audience
Location
| Georgia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Page, Lindsay C.; Gehlbach, Hunter – AERA Open, 2017
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…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, College Bound Students

Peer reviewed
Direct link
