The goal of this lesson to raise students’ awareness and understanding of what deepfakes are, how they can cause harm, and how they could be regulated. The lesson also encourages students to question their own manipulation of images and video.

This guide provides resources on the topic of Digital Visual Literacy, as a supplement to the OERTX Digital Information Literacy Hub.

Digital literacy is a ‘life skill’ in which individuals develop skills and abilities, using digital tools appropriately to locate, evaluate, analyze, synthesize and construct new knowledge, communicate and interact with others in a creative and transformative way.

According to the bibliography, DL is a multidimensional literacy that involves a technical/ operational dimension which refers to mechanical and practical skills; a cognitive dimension related to Information literacy skills and content creation skills; and a social-emotional dimension which focuses on an individual’s development to communicate with others and enable social action

A six module course that goes over evaluating online information, working with different digital formats, ethical communication and sharing of information, and understanding online risks and threats.

Good researchers have a host of tools at their disposal that make navigating today’s complex information ecosystem much more manageable. Gaining the knowledge, abilities, and self-reflection necessary to be a good researcher helps not only in academic settings, but is invaluable in any career, and throughout one’s life. The Information Literacy User’s Guide will start you on this route to success.The Information Literacy User’s Guide is based on two current models in information literacy: The 2011 version of The Seven Pillars Model, developed by the Society of College, National and University Libraries in the United Kingdom and the conception of information literacy as a metaliteracy, a model developed by one of this book’s authors in conjunction with Thomas Mackey, Dean of the Center for Distance Learning at SUNY Empire State College. These core foundations ensure that the material will be relevant to today’s students.The Information Literacy User’s Guide introduces students to critical concepts of information literacy as defined for the information-infused and technology-rich environment in which they find themselves. This book helps students examine their roles as information creators and sharers and enables them to more effectively deploy related skills. This textbook includes relatable case studies and scenarios, many hands-on exercises, and interactive quizzes.

This social media literacy unit introduces students to foundational skills in analyzing images and social media posts. It also reenforces critical thinking questions that can be applied to various forms of media. This unit was taught to 9th grade students but is easily adaptible to a range of secondary classrooms. It was also taught in conjunction with another unit focused on social media platforms and content

This module was created in response to an observed need by BranchED and the module authors for efforts to increase the recognition, adaptation, and use of open educational resources (OER) among pre- and in-service teachers and the faculty who work in educator preparation programs. The module's purpose is to position teacher educators, teacher candidates and in-service teachers as empowered content creators. By explicitly teaching educators about content that has been licensed for re-use and informing them about their range of options for making their own works available to others, they will gain agency and can make inclusive and equity-minded decisions about curriculum content. The module provides instructional materials, resources, and activities about copyright, fair use, public domain, OER, and visual literacy to provide users with a framework for selecting, modifying, and developing curriculum materials.

When we come across a graph, a chart, or an infographic, how do we know if it is telling the truth? Often, numbers and data convey an authority that is hard to dispute, especially when they are arranged visually in a compelling way. Yet, data, in the ways it is gathered and shared, can be misrepresented and portray a slanted reality rather than a more accurate depiction.

This workshop introduces the concept of data literacy, or the ability to comprehend and interpret data, as a method of cultivating a critical mindset towards representations of information. Participants will learn how to discern misleading data visualizations and collaborate with others in developing strategies for analyzing data that is more accurate and useful. All consumers of information, especially undergraduate students, are encouraged to attend.

By the end of this workshop, participants will be able to:

* Understand what data is and how it is used for rhetorical, commercial, and political purposes

* Identify errors and discrepancies in how data is produced and represented

* Engage with data visualizations in multiple contexts with a healthy degree of skepticism

* Communicate their interpretations of data with their peers

(Description from author) This is an unabashedly practical guide for the student fact-checker. It supplements generic information literacy with the specific web-based techniques that can get you closer to the truth on the web more quickly.

We will show you how to use date filters to find the source of viral content, how to assess the reputation of a scientific journal in less than five seconds, and how to see if a tweet is really from the famous person you think it is or from an impostor.

We’ll show you how to find pages that have been deleted, figure out who paid for the web site you’re looking at, and whether the weather portrayed in that viral video actual matches the weather in that location on that day. We’ll show you how to check a Wikipedia page for recent vandalism, and how to search the text of almost any printed book to verify a quote. We’ll teach you to parse URLs and scan search result blurbs so that you are more likely to get to the right result on the first click. And we’ll show you how to avoid baking confirmation bias into your search terms.