The Universal Design for Learning (UDL) Guidelines are a tool that can be used to design learning experiences that meet the needs of all learners (CAST, 2018). Instructional designers and teachers can use these principles to create learning environments that reduce barriers to access for all students, while keeping in mind the learning goals of the lesson. The three guiding principles of UDL are engagement, representation, and action and expression. In this session educators will be provided with examples of these principles in action in sample materials from OpenSciEd and classroom videos. In these examples, participating will identify how the materials have been purposefully designed with multiple avenues for engagement, representation, and action and expression. Additionally, they will identify the built-in supports for teachers to highlight student assets and to address potential barriers to learning for their local student population. Teachers will utilize a tool to help them analyze their own lessons to identify goals, potential barriers, and ways to use the UDL Principles to remove barriers and create flexible paths to learning.

TAKEAWAYS:
Teachers will utilize a tool to help them analyze their own lessons to identify goals, potential barriers, and ways to use the UDL Principles to remove barriers and create flexible paths to learning.

SPEAKERS:
Sarah Delaney (OpenSciEd: San Francisco, CA)

We live in a data-driven world, and our students will be working in a data-driven workforce. Therefore, it is critical that our Pre-K-12 students learn foundational data literacy skills. However, currently these skills are too often only taught in upper-level classes. All students need these skills and all students, down to our little Pre-Kers, can work with and make sense of science data. Let’s make sure data is an equalizer, rather than another divider in our educational system and society! Join us as we explore what perception and learning science tell us about how our brains process data. We will experience research-based strategies and freely available resources to build science knowledge and self-efficacy through data. Finally, we will explore ways to adapt our existing curriculum activities and data visualizations to help our students more equitably access science. Through hands-on activities and group discussions, participants will leave more empowered to leverage data and data visualizations into their science content in purposeful ways for all learners. Working with and learning science from data fosters critical thinking skills, lifelong interests in science, and facilitates learners’ overall 21st century skills. Let’s set all of our students up for success!

TAKEAWAYS:
Participants will identify how data literacy is a critical aspect of science literacy in the 21st century for all students and ways to adjust existing curriculum to leverage data as entry points into science inquiry, sensemaking, and knowledge for all learners to see themselves in STEM.

SPEAKERS:
Kristin Hunter-Thomson (Dataspire Education & Evaluation, Rutgers University: Princeton, NJ)

Join us to learn what sensemaking is and how to use research-based resources to engage students in making sense of the world around them. Leave with a collection of resources to move your professional learning forward no matter where you are on the sensemaking continuum.

TAKEAWAYS:
Develop an understanding of what sensemaking is and how it can help build classrooms where students are able to make sense of the world around them. Leaders walk away with a consensus-building exercise for their team.

SPEAKERS:
Tricia Shelton (NSTA: Arlington, VA), Elizabeth Allan (University of Central Oklahoma: Edmond, OK)

Data meetings are as much of a reality to K–12 teachers and students as high-stakes testing. In this session we will share a data tool, as well as the surprising results we have collected so far, to help teachers in understanding students' struggles by asking the students directly what aspect of the assessment they struggled with the most. Our findings are serving students and teachers by improving Tier 1 instruction planning and delivery as well as leading to a much richer and in-depth conversation during data meetings.

TAKEAWAYS:
Teachers will be given the knowledge and tools to implement our Metacognitive Data Tracker in order to improve Tier 1 instruction.

SPEAKERS:
Rocco Williams (Fort Worth ISD: Fort Worth, TX)

The use of natural phenomena and driving questions to motivate student learning are key in the NGSS. With so many different science phenomena being posted for use in the classroom it can be difficult to determine what makes a good phenomenon and if that phenomena would be appropriate in all educational settings. The focus of this hands-on workshop is to give science teachers the tools needed to find, evaluate and use phenomena and driving questions for Performance Expectations that are consistent with the culture of their classroom. We will first explore and evaluate different phenomena used to teach the NGSS from various sources (websites, kits, science texts). Then we will apply cognitive learning theory and practices to those same phenomena and evaluate them considering different classroom cultures. Finally, participants will choose and discourse about alternative phenomena which might be used given different classroom cultures. The ultimate goal is to help science teachers evaluate and choose phenomena and create driving questions which can drive excellent science pedagogy in THEIR classrooms.

TAKEAWAYS:
Science phenomena and driving questions need to be tailored to the real-world of students in YOUR classroom

SPEAKERS:
Rob Keys (Cornerstone University: Grand Rapids, MI)