WeTeach_CS Summit 2024

Modern science teaching can benefit from combining computer science and data science. Students can construct science knowledge using data science techniques through writing and programming code. This session will show some Google Colab/Jupyter Notebook Python activities using authentic datasets designed for high school science courses. Learn how to access, reduce, visualize, and interpret some scientific datasets using best practices in basic data science. Some example activities will be explored using web-based tools tested in a classroom environment with students. Ideas about finding and accessing scientific datasets will be explored. All code is available as open source, and all lessons are shared as Creative Commons material.

Be sure to check out my list of activities that incorporate computational thinking, data science, and coding.

Learning Hubble-Lemaître’s Law Using SDSS Data and Computational Thinking

Plot of relative distance versus redshift of galaxy population

American Association of Physics Teachers/American Astronomical Society Winter Meeting 2024

Modern astronomical science is increasingly driven by data science and computational thinking. It is possible to have astronomy students construct astronomy knowledge while employing computational thinking and data science pedagogies by using partially-reduced datasets like those from the Sloan Digital Sky Survey (SDSS) in conjunction with Python and Google Colab notebooks. Here, we explore a highly scaffolded activity for students to build a Hubble-Lemaître diagram using data from the Baryon Oscillation Spectroscopic Survey (BOSS) from SDSS. Educators with access to plates from the BOSS mission can tie the activity directly to data associated with the plate. Students access the data directly from the database and use Python and Google Colab notebooks to reduce, visualize, and interpret data in a highly scaffolded format. Students are asked to interpret plots and place data in an astrophysical context. This activity is part of ongoing research into the impacts of using computational thinking pedagogies with physics and astronomy students. This activity has been used in a high school astronomy course. The activity and all associated programming code are freely available as Creative Commons content.

AAPT SM 2023 Coding Integration Workshop

Welcome to the AAPT Summer Meeting 2023 Coding Integration and Data Science Integration in High School workshop. The workshop is happening in Ballroom A09 in the convention center.

Registered participants should direct their web browser (Chrome, Firefox, Safari, or MS Edge) to https://stemcoding.herokuapp.com/ and ask your instructor for the join key.

If you want more STEMcoding content, check out the STEMcoding YouTube channel. If you would like to 2.0 graduate credit hours in STEMcoding coursework, check out the AAPT-affiliated courses from STEMcoding.

For those in academia, use this link: http://go.osu.edu/physics_coding

WeTeach_CS Summit 2023

Computational thinking is a natural thing to incorporate into physics and astronomy. Students can learn to create interactive models, create, collect, and visualize datasets, and ask questions that only make sense to answer with a computer. Participants will hear about current research in computational thinking using coding, where science pedagogy can leverage computer science pedagogy to allow students to construct knowledge in both domains. Some model activities using computer programming and lessons incorporating computational thinking will be shared and discussed. All code is available as open source, and all lessons are shared as Creative Commons material.

Here is a list of the coding-based labs and activities I have used in physics and astronomy. There are not really in any kind of order. All work is shared via the Creative Commons Attribution-NonCommerical-ShareAlike 4.0 license. Feel free to use the content here for non-commercial purposes, but be sure to provide attribution.

Hubble Diagram using SDSS DataAstronomyModeling/Data Science
Measuring Distance with LightAstronomyModeling
Relative Abundance of Europium with SpectroscopyAstronomyModeling
Air Drag Modeling with p5jsPhysicsModeling
HR Diagram IntroductionAstronomyModeling/Data Science
Kepler’s 3rd LawAstronomyModeling/Data Science
Air Drag Analysis: Video vs ModelingPhysicsPhysics
RET 2021 Modeling Air Drag with Unity vs p5jsPhysicsPhysics
Exploring Simple CircuitsPhysicsPhysical computing
Micro:bit Stoplight LabPhyicsPhysical computing
Capacitors in Series and ParallelPhysicsPhysical computing
Photoplethysmography with MicrocontrollersPhysicsPhysical computing