IceMelt: Modeling and Making Predictions with Environmental Data

In this module, students ask a question that can be investigated with data. They identify an online dataset that could serve as evidence to answer the question, then analyze data using tools, technologies, and/or models (e.g., computational, mathematical) in order to make valid and reliable scientific claims (NGSS MS/HS Practices 1, 3, 4).

As with all MIT App Inventor efforts, emphasis is on active constructionist learning where students code projects that instantiate their ideas.

Resources in Google Drive:

Teacher Materials:

• Teacher Guide
• Teacher Slideshow
• Datasets used in curriculum
• Folder with the above resources

Student Self-Guided Tutorial:

• Step 1: Visualize Climate Data
• Step 2: Create a Climate Model
• Step 3: Clean Climate Data
• Step 4: Compare Statistical and AI Predictions in Climate Data
• Folder with the above resources

Duration
4 x 50-minute lessons

Target Grades
High School | Grades 9-12+