There are a series of steps that we all go through when we work with data. During the Data Literacy Series we will dive more deeply into six common areas that trip up students who are new to working with data so we can help them learn to work with data more effectively. Each workshop will include various tips and tricks of integrating data literacy into what you already do in your classrooms, hands-on activities to put yourself into the shoes of your students, and time to explore and modify activities for your classroom that address the topic being covered.
Fall 2017 Data Literacy Series dates set! Look at & print the .pdf flyer.
- Examples will focus around impacts of climate change on fish communities and fisheries along the U.S. eastern seaboard with Dr. Becca Selden.
- Attend one, multiple, or all of the workshops.
- Each workshop is $20 to cover the costs of dinner and materials. Note, reduced pricing if you sign up for multiple events: 2 for $35, 4 for $60, 6 for $75.
Register Here. *Note, revised dates as of 12/13/17*
We look forward to exploring data and learning with you!
What we explore in the Data Literacy Series?
Identifying Different Types & Sources of Data
We will explore the many different types of data that are used in natural and social sciences and discuss how we determine which are the best data to use for our content area or questions at hand. We will then dive deeper into where you can find those data as well, tips and tricks for accessing and using online data, and working on downloading and preparing a dataset relevant to your teaching.
Create & Iterate Data Visualizations
We will think through the multiple different kinds of ways to visualize data and how the kind of data we have and the questions we are asking determine what kind of visualization we should use to graph the data. We will discuss different ways and iterations of using graphs to help with the exploration, interpretation, and comprehension of the data. Finally we will practice making a variety of graphs used in your current teaching in common graphing software (e.g., Excel, Google Sheets, plot.ly).
Identify Patterns & Relationships in Your Data
We know that science is all about observing patterns and relationships, but our students keep getting stuck on the individual points. We we will explore tips and tricks for helping our students see the overall pattern in their data as well as explore a range of ways to help students understand the relationships and trends in their data (both in general and statistically). Finally, we will discuss and revise activities to better support students in their use of patterns and trends in their development of reason statements when comprehending the data.
Identify & Explore Variability in Your Data
Variability is a natural part of the world, but a challenging aspect of teaching science. We will explore tips and tricks for help students to understand what the variability in their data teachers us about the question at hand, when to use averages versus all of the data or both in our teaching, and ways that we can help students better understand the probabilistic nature of science. We will dive into graphing lessons from your classes to see what tweaks we can make to aid the students use and understanding of variability.
Draw Conclusions & Make Inferences from Data
Do your students struggle with what to do with the data once they get it graphed or actually developing their claims and reasoning statements from the data? We will explore tips and tricks for helping our students understand what they can and cannot say from their data as well as ways to help them draw conclusions and comprehend what the data are showing in relationship to their knowledge of other aspects of the topic area. We will work through common missteps that student make in their data analysis and how to adjust our questions of the students to better illicit their inferences and conclusions.
Communicate the Findings Through Multiple Ways (Wednesday, March 21st from 5:30-8:30pm, New Brunswick)
Students often think that they only present their science at the end of a project, but in science we are constantly talking to one another to seek and receive feedback about our ideas, our data collection and processing, our data analysis, and our conclusions. We will explore ways to integrate the iterative nature of science communication and feedback into our curriculum. In addition, we will explore how to teach effective practices of science communication to our students so that we help to develop great science communicators from the start.