Welcome to the 1st edition of this instructor’s guide, entitled: “Algorithmic Awareness Toolkit: Teaching Algorithmic Literacy in Academic Libraries and Beyond.”

As algorithmic systems evolve, so will this guide. The author recognizes that as technology advances and the intricacies of AI and data-driven algorithms continue to reshape our world, this instructor’s guide will need to be updated to keep pace with the ever-shifting landscape of algorithmic awareness, AI literacy, ensuring that this guide remains a relevant and reliable resource for instructors.

Positionality statement

The author would like to acknowledge that she is a white cis-woman settler, living on the traditional, unceded, ancestral territory of the Anishinaabe Algonquin People. The author’s previous background and training in educational technologies and information studies have largely informed the approaches used in this guide. In addition, it is important to acknowledge that this guide is informed by critical information literacy.

Attribution & Acknowledgements

Funding: This project is supported by the BCcampus Research Fellows Program, which provides BC postsecondary educators and students with funding to conduct small-scale research on teaching and learning, as well as explore evidence-based teaching practices that focus on student success and learning.

Author: Marta Samokishyn, BCcampus Student Research Fellow

Reusing the content of this guide

This guide is licenced under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, except where otherwise noted. You are free to retain, reuse, revise, remix, and redistribute this textbook, as long as attributions are included, and other conditions of the license are met.

Additional Formats Available

In addition to the web version available here on Pressbooks, this book is available to download in a number of formats, including PDF, EPUB, MOBI, for easy access and distribution. To retrieve this guide in these formats, go to “Download this book” drop-down menu on the book’s home page.

Accessibility

This guide was designed to be fully accessible. If some features are not accessible, please get in touch with the author to report any accessibility issues.

The use of technology

The author would like to acknowledge the use of different tools in creating this guide, specifically Generative AI, such as ChatGPT, NightCafe, Craiyon, Adobe Firefly, and Clipdrop, among others.