A two-credit online undergraduate information literacy course used in an adult degree completion bachelor's program.

This is a participatory, variable lesson frame ready for you to modify to suit your instruction needs. This lesson and it's variations focuses on encouraging students to see themselves as information creators and part of the scholarly conversation and can also variously include conversations about about the scholarly information cycle and/or authority depending on instruction constraints and configuration.

This activity provides an interactive, student-centered, fun opportunity to explore skills of critical thinking and evaluation of resources. By allowing students to connect those things that they already know (even if they don’t know they know it) to larger concepts, we encourage them to trust themselves and to begin to develop their intuition as scholars, moving away from checklists and formulas for resource evaluation and toward a thoughtful critique of sources based on individual need and use.

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.

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.

This project has four Business case elements. Each element is related to one of the student course outcomes. Each case will require students to complete the following:
Read all elements of each case, including exhibits.
Write a one page summary for each case answering the questions in each case, for a total of a 4 page report.
The report should be submitted as one consolidated report addressing all four cases below.

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.

Synthèse ludique des ateliers d'évaluation des sources. Peut être utilisé comme récompense : un exemplaire plastifié est offert à l'étudiant qui trouve l'erreur volontairement insérée dans la formation (les autres n'ont que la feuille en papier). Autre utilisation : trouver le document le plus faible parmi vos références, ou parmi les références du syllabus de tel cours.

A one-shot or seminar class on fake news tied to source evaluation. Examination of the factors at play in the creation of misinformation; insight into how to select sources; tools and strategies for evalutating content of stories, authors, and news outlets.

What is “fake news” anyway? Are we living in a post-truth world? These University of Michigan course materials will provide opportunities to discuss and analyze news production, consumption and evaluation. Students will develop the critical thinking skills necessary to be an informed citizen; understand how their worldview affects their interpretation of the news; and create a personal strategy for fact-checking and evaluating the news.