This lesson has students use the coding program scratch to create a project for plant and animal cell organelles. 

Learn how to use 'chaining', a common technique in jQuery for chaining a sequence of method calls together.

How would you like to travel to new places while collaborating on a geospatial data challenge with students from around the world? In this class, students collaborate on a global-scale geospatial analysis problem with a focus on data analytics and professional practice in Geographic Information Systems. Penn State MGIS students collaborate with graduate students from ITC - University of Twente in Enschede, Netherlands to develop solutions to analyze spatio-temporal patterns in refugee migration data. Students have the opportunity to present their work and develop new connections with EU geospatial professionals via site visits to European national mapping agencies. Students work in teams to use geospatial analytics to arrive at a solution to visualize patterns over space and time.

What is fake news? Why does it matter? How do we challenge it?
This resource is as much about learning about fake news as it is about taking a step back to pause and reflect.

After a warm up "Real or fake" test to engage students in the topic, we get into the crux of the matter, looking at where fake news comes from, it's often political nature and financial incentive, and who is targeted by it.

If fake news is nothing new in human history, recent inventions have massively increased the range and speed at which information spreads. Smartphones and social media means we have never, potentially, been more exposed to fake news and this has negative consequences, including stigmatization of people, reinforcement of stereotypes, the closing rather than opening of discussion and debate. It can even lead to violence.

Thankfully, we can challenge fake news thanks to our critical thinking. An extensive range of tips and steps we can take are taken from the Navigating the News (Part II) resource and linked in the resource before it finishes off with a "fake news" game into order to practice and stimulate thinking more.

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This resource is part of the information science collection.

Learn about the Chandra X-Ray Observatory's telescope system, science instruments, and spacecraft system in this interactive activity adapted from NASA.

This simulation allows you to observe the behavior of an object reflecting around a circular table.

The goal of this lesson is for students to understand the Chart of Accounts and the criteria within the Chart of Accounts. This lesson encourages file maintenance and understanding of how accounts are organized both in a chart of accounts and in a ledger. It also creates strong ties to financial statements that will be used later in Accounting I.  A presentation and two activities are included to help with student understanding.  

This lesson centers around the How AI Works: Chatbots and Large Language Models video from the How AI Works video series. Watch this video first before exploring the lesson plan.

Large Language Models (LLMs) generate new text. The text LLMs generate looks like a human might have written it because large language models are built based on large bodies of text, such as Wikipedia. In this lesson, students learn what an LLM is and how it works, then use an LLM to co-create a text with AI. Finally, the class wraps up with a discussion about whether or not LLMs are intelligent or creative.

This lesson can be taught on its own, or as part of a 7-lesson sequence on How AI Works. Duration: 45 minutes

Learn how to use jQuery to check that the webpage is fully loaded before you try to access and modify the DOM.