The SIFT* & PICK approach to evaluating sources adapts and builds on Mike Caulfield's SIFT method to help students select quality sources by practicing:

• Lateral Reading (SIFT): fact-checking by examining other sources and internet fact-checking tools; and
• Vertical Reading (PICK): examining the source itself to decide whether it is the best choice for their needs.

*The SIFT method was created by Mike Caulfield under a CC BY 4.0 International License.

How do you detmerine whether your research has had an impact? This lesson plan covers journal and author metrics such as Journal Impact Factors, H-index, citation counts, and altmetrics. After a mini-lecture of the definitions of these metrics and how to find them using Journal Citation Reports and Google Scholar Metrics, students create a researcher profile to position themselves as scholars. 

Supplies needed: Printed researcher profile handouts.

This activity takes approxiately 30 minutes.  

Directions: Identify a university or research center you’d want to be affiliated with, and make up a title of an article you’d be interested in writing. Then, find a real journal that would publish that article. Use Google Scholar to look up the journal’s h-index and Ulrich’s to determine if it’s open access. Make up a number for how many times you think the article would be cited!

This lesson actively engages learners in the process of evaluating an information source using the SIFT technique, designed by Mike Caufield. The approach uses lateral reading techniques and the lesson encourages learners to apply and reflect on the technique as it pertains to a specific information need.

An icebreaker activity for students at any level, “Visualizing Research” employs tactile or kinesthetic learning techniques to illustrate research as inquiry. This group activity can be used in a variety of disciplines and contexts. By having students create and share visual models of their ideas or experiences with research, the lesson plan increases classroom engagement and supports an understanding of the iterative process of research.

This algorithmic literacy workshop puts a new spin on media literacy by moving beyond fake news to examine the algorithms that shape our online experiences and how we encounter information in our everyday lives.

Annotated bibliographies have become a popular assignment in college courses and a way to scaffold research papers. Gathering a bibliography before turning in a completed research project allows students to focus on searching strategically and get feedback on the sources they obtained. Annotating that bibliography requires them to think critically about the sources they choose and their relationship to the research at hand. While there are numerous guides and examples that show students the format of an annotation, there are very few that connect annotations to research questions or guide students through making those connections. This lesson plan Uses Joseph Bizup’s BEAM Method from the realm of rhetoric studies to help students think about how sources are used and adds an additional layer of support. This support bridges the gap between a student recognizing a source is generally related to their topic, and thinking critically about how that source is used to answer a research question. 

Bizup, Joseph. "BEAM: A rhetorical vocabulary for teaching research-based writing." Rhetoric Review 27, no. 1 (2008): 72-86.

A toolkit with various instructional materials to teach media and news literacy. Includes an online activity "Fairness and Blanace" where students watch a short video on journalistic standards and answer discussion questions. Then, students can take one or both interactive tutorials on "Lateral Reading" with a focus on fact-checking and/or "Evaluating Information" based on an information need. Also includes a video on the "Anatomy of a News Website" with reflective questions and in-class assignment ideas for librarians or instructors.

Created by Tessa Withorn, Carolyn Caffrey Gardner, Aric Haas, and Amalia Casteneda.

Reading charts and infographics is part of everyday life, yet telling a story with data can be tricky. Luckily, data visualization is a skill that everyone can learn! Data visualization is the practice of translating information into a visual context, helping humans understand complex concepts and making it easier to identify patterns and uncover insights. In this workshop, learn the basics of designing data visualizations, selecting appropriate graph styles, and how to identify misleading data visuals.