Embedded Files
Monday
Monday
1:00pm Welcome to the Data Science Summer Institute
1:00pm Welcome to the Data Science Summer Institute
Resources:
2:00pm Getting InSTEP with Data
2:00pm Getting InSTEP with Data
We will engage in two data collection activities, process the data, and import into CODAP for some initial exploratory data analysis.
Resources:
4:00pm Dismiss for the day
4:00pm Dismiss for the day
Tuesday
Tuesday
8:30am Arrival and Coffee
8:30am Arrival and Coffee
9:00am Group photo at the Academic Commons
9:00am Group photo at the Academic Commons
9:30am The State of Data Science - Mahmoud Harding
9:30am The State of Data Science - Mahmoud Harding
A national overview of data science education efforts including curriculum and standards from across the country.
Resources:
Data Advocacy Deck (several example slides for making the “pitch” to school leaders)
10:30am ☕ Coffee Break ☕
10:30am ☕ Coffee Break ☕
10:45am Real Teaching with Real Data
10:45am Real Teaching with Real Data
Bring meaningful, real-world data into the classroom using public health datasets on topics like social media trends and environmental health. Participants will explore hands-on, student-centered lessons that build student agency, critical thinking, and data analysis skills while deepening understanding of math, science, and social studies concepts.
Resources:
12:00pm 🥘 Lunch 🥘
12:00pm 🥘 Lunch 🥘
Novice Track - The Barn
Novice Track - The Barn
1:00pm Making Sense of Data Visualizations and Exploring Restaurants with CODAP
1:00pm Making Sense of Data Visualizations and Exploring Restaurants with CODAP
This session with introduce the Making Sense of Data Visualization framework and support teachers in their ability to use CODAP in their classrooms.
Resources:
2:15pm ☕ Coffee Break ☕
2:15pm ☕ Coffee Break ☕
Experienced Track - Goodwin Hall 4th Floor
Experienced Track - Goodwin Hall 4th Floor
1:00pm Introduction to Categorical Prediction Methods
1:00pm Introduction to Categorical Prediction Methods
This session will provide an introduction to making categorical predictions, which is a topic often overlooked in traditional statistics coursework. We’ll look at how to decide if bank notes are counterfeit, if a cell patient is likely to have chronic kidney disease, or if a midge is a carrier of deadly virus.
Resources:
Labeled Midge Data for k-Nearest Neighbors
Unlabeled Midge Data for k-means Clustering
2:15pm ☕ Coffee Break ☕
2:15pm ☕ Coffee Break ☕
2:30pm Teachable Machines
2:30pm Teachable Machines
Learn how to use Google’s Teaching Machine interface to streamline your students abilities to make categorical predictions without having to neccesarily understanding a full technology stack to code it themselves.
Resources:
Wednesday
Wednesday
8:30am Arrival and Coffee
8:30am Arrival and Coffee
9:00am Integrating AI lessons into your classroom
9:00am Integrating AI lessons into your classroom
In this session, we will discuss the broader context of incorporating AI into education, and we will work with some resources for helping students begin to think about using AI responsibly.
Resources:
10:30am ☕ Coffee Break ☕
10:30am ☕ Coffee Break ☕
10:45am Trustworthiness of AI Tools in Learning Spaces
10:45am Trustworthiness of AI Tools in Learning Spaces
Teachers will Define Trustworthy & Responsible AI, Explore Current State of AI in Learning Spaces at the Graduate & Professional Level, Explore Evaluation Frameworks for AI Deployment in the Health Sector, and Count the Cost of AI to our society and values.
Resources:
12:00pm 🥘 Lunch 🥘
12:00pm 🥘 Lunch 🥘
Today at lunch we'll hear from 3 groups of NCSSM students who are currently working on a summer project that uses data science to solve a real-world problem for organizations in our NCSSM-Morganton community.
Novice Track - The Barn
Novice Track - The Barn
1:00pm Exploring Data Visualization and Association with CODAP
1:00pm Exploring Data Visualization and Association with CODAP
We will explore data visualizations that support developing data literacy. We will also engage in a data investigation focused on association using CODAP. You will have the opportunity to reflect on different phases of a data investigation process.
Resources:
2:15pm ☕ Coffee Break ☕
2:15pm ☕ Coffee Break ☕
Experienced Track - Goodwin Hall 4th Floor
Experienced Track - Goodwin Hall 4th Floor
1:00pm Look-Think-Do Framework: A Solution To Use AI in Classrooms
1:00pm Look-Think-Do Framework: A Solution To Use AI in Classrooms
A Hands-On Session where teachers will assume the role of students completing an algorithmic bias module using the Look-Think-Do Framework & Platform. Feedback & Discussion to follow on the Art of what is possible with the Look-Think-Do framework & platform
Resources:
Slides (to be shared soon)
2:15pm ☕ Coffee Break ☕
2:15pm ☕ Coffee Break ☕
2:30pm Using BBC micro:bits and exploring Amazon Future Engineer
2:30pm Using BBC micro:bits and exploring Amazon Future Engineer
We will use block-based coding to program micro:bits to collect environmental data, and we will use that data for machine learning. We will also take a brief look at Amazon's future engineer offerings in Voice AI.
Resources:
5:30pm Happy Hour @ Fonta Flora Taproom
5:30pm Happy Hour @ Fonta Flora Taproom
Come grab a drink and socialize this evening at Fonta Flora brewery, right across the street from The Fairfield Inn and Suites in downtown Morganton. We have the side room reserved for our event. Fonta Flora is known for their beer, but also serve wine, and have non-alcoholic drink options available as well. Hope to see you there!
Thursday
Thursday
8:30am Arrival and Coffee
8:30am Arrival and Coffee
9:00am Data at NOAA and NCICS
9:00am Data at NOAA and NCICS
Resources:
10:15am ☕ Coffee Break ☕
10:15am ☕ Coffee Break ☕
10:30am Implementation Planning Time
10:30am Implementation Planning Time
This session will provide support and time to plan for how to bring data science into your classroom next school year.
Resources:
Slides (includes link to stipend application)
11:30am End of workshop wrap-up
11:30am End of workshop wrap-up
This session will provide information on how to receive your stipend, a survey to let us know how we did in each session, and time for any other parting thoughts to share before we head our separate ways.
Resources:
12:00pm 🥘 Lunch 🥘
12:00pm 🥘 Lunch 🥘
1:00pm Dismiss for the day
1:00pm Dismiss for the day
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