| Title: |
AI-U: Student Guide to Artificial Intelligence |
| Language: |
English |
| Authors: |
Daniel J. Anderson; C. Edward Watson; Lee Rainie; Janna Anderson; American Association of Colleges and Universities (AAC&U); Elon University, Imagining the Digital Future Center |
| Source: |
American Association of Colleges and Universities. 2025. |
| Availability: |
American Association of Colleges and Universities. 1818 R Street NW, Washington, DC 20009. Tel: 800-297-3775; Tel: 202-387-3760; Fax: 202-265-9532; e-mail: pub_desk@aacu.org; Web site: https://www.aacu.org/publications |
| Peer Reviewed: |
N |
| Page Count: |
23 |
| Publication Date: |
2025 |
| Intended Audience: |
Students |
| Document Type: |
Guides - Classroom - Learner |
| Education Level: |
Higher Education; Postsecondary Education |
| Descriptors: |
College Students; Student Experience; Technology Uses in Education; Artificial Intelligence; Guidelines; Check Lists; Technology Integration; Technological Literacy; Integrity; Ethics; Learner Engagement; Technological Advancement; Influence of Technology; Job Skills; Prompting; Writing (Composition); Man Machine Systems |
| Abstract: |
This free guide empowers students with the insights they need to navigate the age of AI academically, professionally, and ethically. It includes guidance for responsible academic AI use, a checklist for ethical and effective engagement with AI, and tips on incorporating AI to enhance student capabilities. It also outlines how to build an effective writing prompt for AI tools and provides practical tips for preparing for the workforce in an AI-driven job market. An initiative of Elon University in partnership with AAC&U, this guide was developed through the collaboration of faculty, scholars, academic leaders, and students at universities from around the world. Free to use, share, and adapt under a Creative Commons license. |
| Abstractor: |
ERIC |
| Entry Date: |
2025 |
| Accession Number: |
ED673750 |
| Database: |
ERIC |