Data Bite: Giving students a different way to look at the same data

Data Bite: Getting students to talk about themselves to make data visualizations

Data Bite: Data visualization examples for how the weather affects our mood

Data Bite: Helping our students think statistically with data by using F.I.R.S.T.

Data Bite - Using Tidy Tuesday as a resource for high school students

Data Bite - Data Talks by YouCubed is a great resource for kid focused data talks

Data Bite - Using the New York Times to teach data visualizations to your students

Data Bite : All of our students can be statistically thinking about data

2023 ADVizE Mini-Lecture: Making Testable Questions with Data

2023 ADVizE Mini-Lecture: Organizing Data

2023 ADVizE Mini-Lecture: What are Data?

2023 ADVizE Mini-Lecture: Data Skills Progression

2023 ADVizE Mini-Lecture: Exploratory vs Explanatory Data Analysis

2023 ADVizE Mini-Lecture: Making Effective Data Visualizations

2023 ADVizE Mini-Lecture: Where Sampling, Data, and Inferences Meet

2023 ADVizE Mini-Lecture: Types of Data and Why We Use Them in Teaching

2023 ADVizE Mini-Lecture: Teaching Graphing & Graphs

ADVizE Lesson 5.5: Next Steps - Designing for Portfolio and Practice

ADVizE Lesson 4.3: What Makes Up a Strong Data Activity?

ADVizE Lesson 4.2: What Is It Like to Be a Student With Data?

ADVizE Lesson 3.4: How Can We Build Comfort Exploring Data?

ADVizE Lesson 3.2: Explore, Visualize, Revise - Working with Data Portals

ADVizE Lesson 2.6: Which Is the Best Graph to Use?

ADVizE Lesson 2.4: What Should I Do With Data When It Is in a “Table”?

ADVizE Lesson 2.2: Create and Reflect on a Data Visualization

ADVizE Lesson 1.3: Unpacking What It Means to Work With Data

ADVizE Lesson 1.2: Description of the Project and Why It Matters

Data Bite - Who are our data literate citizens?

Data Bite - Getting students to understand data by using real world data sets as examples

Data Bite: Teaching students to have healthy skepticism with data

Data Bite: There are multiple stories that we can tell from a dataset

Data Bite - Refining questions reflection

Data Bite - An example of how to refine a question

Data Bite - The Question Formulation Technique

Data Bite - How can we communicate the story of data

Data Bite - Making a Testable SMART Question

Data Bite: Asking students to unpack data and dig deeper into the meaning

Data Bite - Unpacking a difference variable

Confusion to Clarity: 3 Steps to Master Graphing is open! Master graphing at your own pace!

Data Bite - How can we expand the tools in our toolbox

Data Bite - Understanding the types of data that you have

Data Bite: How to make the scatterplot vs. thinking about when to make a scatterplot

Data Bite - Graph choice is a skill

Data Bite: Google Sheets Chart Editor Gives Us Weird Graphs, Why?

Data Bite: Taking our data vertical with beads

Date Bite: Exploring variables in maps

Data Bite: How do we retain visualizations?

Data Bite: How do we make data accessible to all learners in various languages

Data Bite How to understand a double y-axis

Data Bite - Shirt, Shoes, Watches: Teaching students how to categorize data

Get your Confusion to Clarity Course! 🚀✨

Data Bite: What happens when we combine two variables of data together

Data Bite: Beads, sticky notes, and stickers

Data Bite: When it’s time for students to calculate the means

Data Bite: How we can structure open endedness and exploration for data with our students

Dataspire: 2024 Wrapped

Data Bite: On Comparing data between categories

Data Bite- Barnaby’s Bar Charts Using blocks to indicate counts for bar charts

Data Bite: On carving out time for students to explore data and tell stories from what they find

Data Bite: The question of correlation vs. causation