“Scaffolding AI Literacy: An Instructional Model for Academic Librarianship”

As artificial intelligence (AI) becomes integral to academic, professional, and societal contexts, the demand for AI literacy in higher education is growing. Academic librarians, with their expertise in information literacy and critical pedagogy, are well-equipped to address this need. This article introduces a scaffolded model to advance AI literacy through progressive skill development across four tiers: foundational awareness, applied problem-solving, critical evaluation, and ethical advocacy. Each tier builds on the previous, fostering a comprehensive understanding of AI concepts, tools, and societal implications. Adapted from traditional information literacy workshops, this instructional model empowers students to navigate, critique, and responsibly engage with AI technologies. Tier 1 introduces basic AI concepts and tools. Tier 2 examines AI’s role in research and problem-solving, addressing practical applications and limitations. Tier 3 emphasizes the critical evaluation of AI-generated content and tools. Tier 4 focuses on ethical decision-making and advocacy, encouraging students to consider AI’s broader societal impacts. This article discusses the proposed model’s pedagogical design, details its application through workshop plans, and explores its implications for academic librarians’ roles in fostering AI literacy. By implementing this approach, librarians can equip students to become critical consumers of AI technologies.

https://doi.org/10.1016/j.acalib.2025.103041

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |