How Technology Students Develop AI Literacy through Collaboration, Reflection, and Situated Learning
Developing AI literacy among students is vital in an AI-driven world. While scholars have explored AI literacy in the CS context, some critical areas remain under-examined for technology students who study disciplines such as cybersecurity, information systems, and information technology, where they are often expected to apply AI tools and techniques rather than develop them from scratch. In this research leading toward my dissertation, I focus on three under-examined areas: 1) the effect of collaborative learning on AI literacy development; 2) the role of students’ group engagements with everyday AI; and 3) students’ development of an AI-ethics mindset.
Authors
- Ashish Hingle (ORCID: https://orcid.org/0000-0002-6178-1256)
Institutions
- George Mason University (US)
Publication Details
- Published
- 2024-12-28
- DOI
- https://doi.org/10.1145/3688828.3699655
- Citations
- 1
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.41