This is an activity that helps students develop an interdisciplinary search strategy in stages. Students define their topic, brainstorm questions related to their topic area, and connect these questions to the disciplines and experts where they might find more research and information. Students learn how to identify search tools & information sources based on their questions using the library’s website.

In this activity, students review correct in-text citations for a particular format, then practice writing their own examples. These examples are submitted anonymously via a google form, allowing for the collective and collaborative review.

This activity helps students collectively practice summarizing, paraphrasing and quoting. To begin, students have a conversation as a class on any topic of their choosing. The instructor transcribes the conversation and then as a group, the class examines the conversation and write summaries, paraphrases and quotes.

A "jigsaw lite" activity to help students recognize that the information tools and systems they use in their everyday and academic lives are not neutral as existing power structures are reflected in the creation, organization, and access of information. Students work in small groups to read an assigned article about bias in a tool, source type, or system and answer questions to share with the larger class.

BEAM Me Up is a one-shot session that works well in addition to a search strategies class, but can be done without. This session asks students to use the BEAM framework coined by Joseph Bizup to organize and synthesize research materials to create a complex and well-supported argument. Rather than evaluated sources using a checklist, the instructor using BEAM asks students to consider how the information will be used (and to consider how authors use information to build arguments). Adaptors may want to replace the sources given here with ones relevant to the students' curriculum.

This assignment was created for a credit bearing course for first year students. It's designed to help students take what they've learned about algorithmic bias from the course lectures and readings and apply it to their own search practices. They also critically analyze search results for advertisements and compare DuckDuckGo to Google. [You could also look at this assignment as an adaptation of Jacob Berg's wonderful, "Googling Google," assignment at https://www.projectcora.org/assignment/googling-google-search-engines-market-actors ]

This workshop delivers an action-oriented introduction to personal data privacy designed for new college students.

In this assignment, students are given a range of newspaper article about science topics and work in pairs to find the original research article that the newspaper article is based on in the library databases. Students then assess when they might use an original research article vs when they might use a well-written newspaper article. After the activity, the librarian gave short lecture about online fact checking based on Mike Caulfield's excellent fast and frugal fact checking strategies. If time allows, students can do some of the activities that Caulfield lists in his textbook.

This 30-minute activity was a quick introduction to algorithmic bias and the importance of critically evaluating search engine results. Algorithms increasingly shape modern life and can perpetuate bias and discrimination. In pairs, students analyzed the results from Google Image searches and Google Autocomplete suggestions. This activity was based on “Algorithms of Oppression: How Search Engines Reinforce Racism,” by Safiya Umoja Noble. This lesson plan was Part 1 of an hour-long workshop that also included a 30 minute Google Scholar activity.