top of page

Building AI Literacy Foundations in First-Year Seminars

Emily Bailey, Towson University

Keywords:

First-Year Seminars, Digital Literacy

Key Statement:

This pilot study examines how AI ethics modules and a common technology-focused assignment are being developed to support first-year seminar students for foundational AI literacy.

Abstract:

As AI technologies become increasingly prevalent in academic settings, first-year seminars are prime spaces to introduce students to AI ethics and AI literacy early in their college experience. This pilot initiative aims to explore student AI engagement through AI ethics training and a common AI information literacy assignment in a first-year seminar program at a mid-Atlantic public university. It outlines the proposed change process, proposing that early AI intervention in first-year seminars could establish competencies that benefit students throughout their academic careers.

Hear it from the author:

Building AI Literacy Foundations in First-Year SeminarsEmily Bailey, Towson University
00:00 / 01:20

Transcript:

Hi, I'm Emily Bailey from Towson University, and my presentation shares how we're pioneering AI literacy education through our first-year seminar program. As AI becomes ubiquitous in academic and professional settings, we recognize that our students need foundational skills early in their college experience—not just technical know-how, but ethical frameworks and practical applications for responsible AI use.
Our twofold approach addresses this need. First, we're implementing "Ethics of AI Use" modules covering academic integrity, citations and attribution, privacy and security, and social and environmental responsibility for all incoming first-year students. Second, we're piloting a common AI-based information literacy assignment across multiple first-year seminar sections, teaching students to critically evaluate AI-generated content alongside traditional sources.
This isn't just about keeping up with technology, it's about preparing graduates for a workforce that will expect digital literacy while ensuring they can use these powerful new tools ethically and effectively. We hope that our early intervention model will create a foundation that benefits students throughout their time at TU and beyond.

References:

Bernacki, M. L., Gianoutsos, D. J., & Cogliano, M. (2025). Examining digital curricular enhancements to first-year seminars and effects on college success. Innovative Higher Education, 1, 1–28.


Černý, M. (2023, November). AI literacy in higher education: Theory and design. In International Conference on New Media Pedagogy (pp. 364–379). Cham: Springer Nature Switzerland.


Laupichler, M. C., Aster, A., Schirch, J., & Raupach, T. (2022). Artificial intelligence literacy in higher and adult education: A scoping literature review. Computers and Education: Artificial Intelligence, 3, 100101. https://doi.org/10.1016/j.caeai.2022.100101


Southworth, J., Migliaccio, K., Glover, J., Glover, J. N., Reed, D., McCarty, C., ... & Thomas, A. (2023). Developing a model for AI across the curriculum: Transforming the higher education landscape via innovation in AI literacy. Computers and Education: Artificial Intelligence, 4, 100127. https://doi.org/10.1016/j.caeai.2023.100127

OUR PARTNERS

Screen Shot 2023-02-07 at 8.43.31 AM.png
Think UDL.png
TiHE Bonni Stachowiak.jpg
Scholarly Teacher.png
JECT.png
Goosechase_Icon_Black.png

OUR SPONSORS

OneHE Logo (Colour) - 640x200.jpg
Lilly Logo.png
EB no tagline.png

Making a Difference Together

bottom of page