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Instruction

Request a librarian to teach your class how to use library resources, develop research topics, ethically use information, and more.

Library Teaching Toolkit

This library teaching toolkit page is designed to help students build research skills using the library. You can integrate research skills into your courses by embedding these resources into your assignments. Please reach out to the library if you have questions about how to best leverage these information literacy tutorials in your assignment design.

Research Notebook

Plan your research strategy! Use the Research Notebook to keep a notebook of your research questions and search strategies. You can make a copy of this for yourself.

Featured Tutorials: Foundations of Research

Developing a Research Question

Develop effective research questions by narrowing or broadening your scope, identifying key concepts, and finding where to search for more information.

Watch Tutorial Series

Searching Strategy

Discover tips and tricks for searching library resources to find relevant information.

Watch Tutorial Series

Using Your Resources

Explore the different types of collections at Gleeson Library, understand primary and secondary sources, and discover how these sources vary across academic disciplines.

Watch Tutorial Series

Ethical Use of Information

Learn how to create citations with purpose, access resources to help manage them, and uphold USF values of academic integrity.

Watch Tutorial Series

You can find more of our tutorials on the Gleeson Library YouTube Channel.

All tutorials through Gleeson Library are licensed under a Creative Commons Attribution 4.0 International license.

You can embed Gleeson Library video tutorials directly into your Canvas course using the Rich Content Editor. This feature is available in Announcements, Assignments, Discussions, Pages, and Quizzes.

  1. On the Gleeson Library YouTube Channel, find the video you would like to embed.
    1. Select Share, then Embed.
    2. From the box that appears, Copy the HTML code.
  2. On your Canvas course, open the Rich Content Editor.
    1. Select Insert from the menubar, then Embed.
    2. Paste the code in the Embed Code field, then select Submit.
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