Education

Education

Preparing Information Professionals to Educate Users on Generative AI: Best Practices from North Carolina Central University

The pace of adoption of generative AI has been groundbreaking—faster than the adoption of personal computers and the internet. Advocates argue that AI can help bridge digital literacy barriers and provide non-experts with access to specialized information, from coding assistance to digestible legal and medical information. It supports learning across the educational spectrum, from K-12 through higher education and workplace training. While we must accept that students will inevitably find and use generative AI tools, two critical issues demand attention: first, disparities in AI acceptance and use among students and faculty could deepen existing digital divides and affect educational and career outcomes; second, within higher education institutions, questions remain about whose responsibility it is to teach students how to use AI tools effectively and ethically. 

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Education

Teaching Library Users About AI Images: A Case Study

AI-generated images and videos are now frequently found across social media, advertising, and academic spaces, yet many users interact with these visuals without recognizing them as AI or understanding how they are created. As academic libraries increasingly position themselves as leaders in information and digital literacy, AI image literacy presents both a challenge and an opportunity. To help our patrons better understand, I developed and facilitated an AI image literacy workshop focused on helping participants critically evaluate AI-generated images and videos while also understanding how they are made.

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Education

From Information Literacy to AI Literacy: Preparing Librarians for Emerging Responsibilities

As artificial intelligence reshapes how we search, write, and learn, librarians are increasingly expected to help communities navigate an unfamiliar digital landscape. This article advocates for incorporating AI literacy into Library and Information Science education and introduces a new course, “AI and Libraries,” designed to prepare future-ready information professionals. It emphasizes that AI literacy is critical for promoting equitable understanding and access in an age defined by intelligent systems.

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Education

Confidence Without Comprehension: Why AI Literacy Needs a Reset

When AI tools collapse complex search processes into seamless responses, they can obscure uncertainty, mask gaps in understanding, and smooth over meaningful distinctions of meaning, relevance, and confidence. Users may feel informed without ever confronting the limits of their knowledge or the assumptions guiding how information is interpreted. The challenge for libraries is not just teaching people how to use AI tools, but how to think with them without surrendering judgement.

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Education

Lessons in AI Literacy and Explainability from Lucy and Ricky

In the classic 1950s TV sitcom I Love Lucy, when Lucy did something outrageous her husband Ricky would exclaim “Lucy, you’ve got some explainin’ to do!” Typically, Lucy would come up with some sort of implausible response. Hilarity ensued. Well, it’s not the 1950s anymore but 70+ years later Large Language Models (LLMs) and AI chatbots (e.g., ChatGPT, Gemini) are doing outrageous things (hallucinations, fabrications, misinformation, and worse) and the explanations, if there are any, are just as implausible. And it isn’t funny.

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Education

Nourishing Communities with Knowledge: A Culinary Analogy Revisited

When teaching brand new doctoral students in library and information science (LIS), much discussion is dedicated to theories, paradigms, and the distinctions, and divides, between library science and information science. After reading Marcia Bates’ iconic article, The invisible substrate of information science (1999), a student asked: How do I explain what I do to others? How do I describe the relationship between data, information, and knowledge? 

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