The Stanford History Education Group (SHEG) is a research and development group based in Stanford’s Graduate School of Education. In 2014, we set out to develop short assessments to gauge young people’s ability to evaluate online content. Our work was supported by the Robert R. McCormick Foundation, the William and Flora Hewlett Foundation, the Spencer Foundation, and the Silver Giving Foundation.
Specifically, we sought to measure Civic Online Reasoning — the ability to effectively search for, evaluate, and verify social and political information online. We use this term to highlight the civic aims of this work. The ability to evaluate online content has become a prerequisite for thoughtful democratic participation.

The Universal Design for Learning (UDL) for Inclusion, Diversity, Equity, and Accessibility (IDEA) project was a collaboration between 10 universities and colleges across Ontario to develop a 6-module open educational resource for post-secondary educators to help them understand their responsibilities under the Accessibility for Ontarians with Disabilities Act (AODA). It will help instructors and others to incorporate principles of UDL and considerations of EDI and Indigenisation in their learning environments. (taken from Merlot entry: https://merlot.org/merlot/viewMaterial.htm?id=773412101)

This purpose of this guide is to provide our faculty, students, staff and others in our community an understanding of copyright law and it's proper application in an academic environment. A better understanding and application of copyright law both avoids potential legal issues and makes us all better stewards of the intellectual property of others.

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

No matter how long you’ve been an advocate of OER, you may sometimes feel like you need a (fun and nuanced) refresher on the nuts and bolts of “open.” This webinar will engage a panel of experts in a discussion ranging from the basics of copyright and Creative Commons licensing to the tough questions we inevitably encounter when working with open resources.

This book provides an updated look at issues that comprise the online learning experience creation process. As online learning evolves, the lines and distinctions between various classifications of courses has blurred and often vanished. Classic elements of instructional design remain relevant at the same time that newer concepts of learning experience are growing in importance. However, problematic issues new and old still have to be addressed. This handbook explores many of these topics for new and experienced designers alike, whether creating traditional online courses, open learning experiences, or anything in between.

A short course for students to increase their proficiency in analyzing and interpreting data visualizations. By completing this short course students will be able to explain the importance of data literacy, identify data visualization issues in order to improve their own skills in data story-telling. The intended outcome of this course is to help students become more discerning and critical users of data, graphs, charts and infographics.

“Digital,” “library,” “pedagogy” — what happens when these three terms are brought together as the foundations of a community of practice? The strategies and insights gathered here suggest a preliminary answer to that question, but the short version might be: a lot. Digital access and affordances spark new approaches to primary sources; memes model scholarly conversation; hands-on work with APIs and web scraping quickly bring the rhetoric of the digital as seamless access to information back down to earth.

The nine lessons in this volume cover foundational digital tools like Voyant and Omeka and newer ones such as Transkribus and the International Image Interoperability Framework (IIIF). Most lessons focus on the act of making and engaging with tools, while others address misinformation and algorithmic bias. The structure and length of the lessons vary considerably, with some designed for standalone sessions and others spanning the duration of a course.

Are you ready to leave the sandbox and go for the real deal? Have you followed Data Analysis: Take It to the MAX() and Data Analysis: Visualization and Dashboard Design and are ready to carry out more robust data analysis?

In this project-based course you will engage in a real data analysis project that simulates the complexity and challenges of data analysts at work. Testing, data wrangling, Pivot Tables, sparklines? Now that you have mastered them you are ready to apply them all and carry out an independent data analysis.

For your project, you will pick one raw dataset out of several options, which you will turn into a dashboard. You will begin with a business question that is related to the dataset that you choose. The datasets will touch upon different business domains, such as revenue management, call-center management, investment, etc.

Struggling with data at work? Wasting valuable time working in multiple spreadsheets to gain an overview of your business? Find it hard to gain sharp insights from piles of data on your desktop?

If you are looking to enhance your efficiency in the office and improve your performance by making sense of data faster and smarter, then this advanced data analysis course is for you.

If you have already sharpened your spreadsheet skills in Data Analysis: Take It to the MAX(), this course will help you dig deeper. You will learn advanced techniques for robust data analysis in a business environment. This course covers the main tasks required from data analysts today, including importing, summarizing, interpreting, analyzing and visualizing data. It aims to equip you with the tools that will enable you to be an independent data analyst. Most techniques will be taught in Excel with add-ons and free tools available online. We encourage you to use your own data in this course but if not available, the course team can provide.

These course materials are part of an online course of TU Delft. Do you want to experience an active exchange of information between academic staff and students? Then join the community of online learners and enroll in this MOOC. This course is part of the Data Analysis XSeries.

We facilitate and develop lessons for Data Carpentry workshops. These lessons are distributed under the CC-BY license and are free for re-use or adaptation, with attribution. We’ve had people use the lessons in courses, to build new lessons, or use them for self-guided learning.

Data Carpentry workshops are domain-specific, so that we are teaching researchers the skills most relevant to their domain and using examples from their type of work. Therefore we have several types of workshops and curriculum is organized by domain.

This website aims to develop and implement a DIL curriculum in conjunction with university faculty to address these needs.

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

This session was part of an undergraduate, critical thinking and global perspectives course. The course is offered by various disciplines on campus. This instance focused on global challenges (The Seven Revolutions developed by csis.org). For the session the students applied two frameworks to data: authority is constructed and contextual and scholarship as conversation. Students learned about a data life cycle concept with emphasis on evaluation.

The Data Notebook is an online suite of open interactive resources that provides instructional materials for introductory data analytics and data visualization approaches relevant to a wide range of subjects and disciplines. Specifically, this book focuses on principles related to data storytelling, and provides tangible research steps and include case studies, mini-lessons, and interactive instructional components.

Data talks are short 5-10 minute classroom discussions to help students develop data literacy. This pedagogical strategy is similar in structure to a number talk, but instead of numbers students are shown a data visual and asked what interests them

A LibGuide that covers topics related to Data Visualization, including planning visualizations, tools and resources, assessment, and accessibility

Data Viz Project started out as an internal tool box, where we simply stuck data visualizations up on our wall as visual inspiration. Of course, there are a lot of books, websites, libraries, and tools that include a lot of visualization types, but not as comprehensive and logical as we liked. So instead of continuing to stick these visualizations on our wall, we thought we might as well just put it online, so you and others can use it as a tool and inspiration.