Data Bytes - Metaliteracy as AI Literacy: A Framework for Researchers in the Age of Intelligence
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Data Bytes - Metaliteracy as AI Literacy: A Framework for Researchers in the Age of Intelligence
As artificial intelligence transforms research workflows across disciplines, the fundamental literacies that researchers need are evolving rapidly. This interactive workshop introduces metaliteracy—a comprehensive framework for critically evaluating, creating, sharing, and reflecting on information in collaborative digital environments—as the foundation for developing AI literacy in research contexts.
Drawing from recent scholarship on AI integration in libraries and higher education, participants will explore how the metaliteracy framework's four domains (cognitive, metacognitive, behavioral, and affective) provide essential scaffolding for ethical and effective AI engagement. Rather than focusing on specific tools, this session emphasizes developing transferable competencies that remain relevant as AI technologies continue to evolve.
Through hands-on activities and collaborative discussion, participants will examine how traditional research skills translate into AI-enhanced workflows, explore frameworks for evaluating AI tools, and develop strategies for maintaining human agency in technological collaboration. This workshop positions researchers not as passive consumers of AI outputs but as active partners in human-AI collaboration that amplifies rather than replaces critical thinking.
Perfect for researchers across disciplines who want to thoughtfully integrate AI into their work while maintaining rigorous academic standards and ethical practices.
Workshop Structure
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Opening & Context Setting: AI as arrival technology, libraries as centers of gravity
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Metaliteracy Framework Overview: Four domains and AI literacy connections
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Hands-on Tool Evaluation: Using the framework to assess AI research tools
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Collaborative Application: Developing personal AI integration strategies
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Reflection & Next Steps: Resources and continued learning pathways
Prerequisites: No prior AI experience required. Participants should bring a research project or question they're currently working on to use as a case study during activities.
Date:
Wednesday, October 29, 2025
Time:
3:00 PM - 4:30 PM
Location:
Digital Scholarship Center, Collaborative Scholarship Lab, Lower Level
Categories:
Instruction, Public Program
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Time Zone: Central Time - US & Canada (change)