In this hands-on presentation, we will model the amount of water content in a cloud, formation of clouds in a container, and identify clouds in the sky. You’ll walk away with activities and resources you can use in your classroom. These lessons and activities can be used from the elementary grades to high school. Closely tied to the Wisconsin Science Standards, students make predictions, carry out investigations, use models, and construct explanations. I have used these activities in Earth and Space Science classes during the meteorology unit and in Weather & Climate classes while we are investigating the formation of clouds and precipitation. Time permitting, we will look into how reading the clouds in the sky and their movement can help in the weather prediction process and give us an idea of future weather patterns.
Forest measurement is beneficial to students as they use tools, apply geometry and accounting, and begin to understand the importance of sustainable forestry and connections to healthy forests of Wisconsin. Participants will practice with a variety of tools used to measure trees and estimate density, make management decisions, and consider what products can come from a harvest. LEAF Field Lessons (grades 5-12) that incorporate measurement will be introduced. Depending on weather and proximity to trees, this workshop may go outside for part of the time. Wisconsin Science Standards connections: SCI.ESS3.A: Natural Resources SCI.ESS3.C: Human Impacts on Earth Systems SCI.ETS1.B: Developing Possible Solutions
In an era where data-driven insights are critical for scientific discovery and understanding, the ability to collect, analyze, and interpret data has become a fundamental skill for students. This workshop will explore how you can empower students to actively engage in data collection across diverse science disciplines, including physics, chemistry, biology, and environmental science. Participants will learn hands-on techniques for integrating data collection into their science curricula using sensors, which provide real-time data and enhance students’ learning experiences. This session will offer insights on inquiry-based learning that develops students’ scientific literacy and problem-solving skills.
Objectives: 1. Understand the Role of Data Collection in Science Education 2. Explore TI Technology for Real-Time Data Collection 3. Design and Implement Data-Driven Experiments 4. Integrate Data Collection into Standards-Based Instruction
By the end of this session, participants will: • Gain confidence in using technology for data collection in science education. • Acquire practical strategies for designing and implementing data-driven science experiments. • Understand how to integrate data collection with standards-based instruction to enhance student engagement and scientific literacy.
Are you looking at making your lessons impactful? Are you struggling to find good graphs to help your students practice? You can generate real world graphs that will paint pictures for students. Using these tools, students can make their own weather predictions, discover real time weather information, and verify weather data after weather events. You will learn how to make your own weather collection tools and have students gather real time weather data to compile over time. Help prepare students for the ACT by having them analyze data from one of the most difficult graphs to read, the SKEW-t. By reading this graph, students can analyze the weather at your school and determine the cloud heights, whether it will precipitate, what kind of precipitation, and whether severe weather is on its way. Students will also be able to explore various climates around the country and around the world by analyzing these graphs and comparing them to other regions. The weather in Wisconsin is drastically different from Saudi Arabia. Come explore how students can read graphs for real.
