The objective of this unit is for students to be able to evaluate cyberbullying and know what to do if they witness it and or are a victim. We are going to touch on the bystander effect, THINK, the definition of cyberbullying, the signs of someone being cyber bullied, and how to handle cyberbullying in smart and effective ways. We want the students to be aware of the issue and know how to help and especially prevent it if they can by being smart digital citizens. This lesson will also show how to promote awareness of cyberbullying and how to show people the negative effects of it. This lesson will help the students develop an understanding of the issue and know many components of it.

The information revolution of the 21st century is as significant and transformative as the industrial revolution of the 19th century. In this unit, students – and by proxy their families – will learn about the challenges of our current information landscape and how to navigate them. This unit is split into four modules. These modules can be done sequentially or stand on their own, depending on students’ needs and teachers’ timeframes. In this module (1 of 4), students analyze their own use of online social media platforms and learn how filter bubbles and confirmation bias shape the content of their media environment. 

In comparison with e-learning content, e-learning processes evolve over time, and are essentially performed in such as way that they structure human activity using designs such as schedules, rules and protocols. Common e-learning activities include participating in online discussion, chat and other forms of conferencing (Salmon 2000), accessing specific e-learning content, taking tests and assessments, working through short exercises to stimulate thinking (Salmon 2002), or completing web forms such as those used in e-portfolios or course evaluation. While some elearning activities are direct analogues of offline activities, the majority (such as asynchronous communication) are significantly transformed by being in the online domain, and others, (such as interactive simulations and animation) are difficult to provide in any context other than an online environment.

This Open Educational Resource (OER) textbook is written as the primary resource for a 3-hour graduate course delivered online by The Teachers College at Emporia State University. The course is designed to prepare school leaders (teachers, instructional coaches, administrators, etc.) for the integration and application of diverse educational technologies into classrooms and schools in ways that reflect a theoretical, research-based, and practical understanding of curriculum development and the effective uses of technology. The course explores practical ways to integrate technology into both teaching and learning and the critical importance of adequate training and professional development for successful integration. This intensive course is delivered completely online over a seven-week period using Canvas. Canvas is a web-based learning management system or LMS. It is used by learning institutions, educators, and students to access and manage online course learning materials and communicate skill development and learning achievement.

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.

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