Computational Thinking

Sunstones at The Lawrence

The computational thinking for science framework: Operationalizing CT-S for K-12 science education researchers and educators

Contemporary science is a field that is becoming increasingly computational. Today’s scientists not only leverage computational tools to conduct their investigations, they often must contribute to the design of the computational tools for their specific research. From a science education perspective, for students to learn authentic science practices, students must learn to use the tools of the trade.

Children playing on the DNA sculpture at the Lawrence

A Typology of Models for Integrating Computational Thinking in Science (CT+S)

Abstract: In order to expand opportunities to learn computer science (CS), there is a growing push for inclusion of CS concepts and practices, such as computational thinking (CT), in required subjects like science. Integrated, transdisciplinary (CS/CT+X) approaches have shown promise for broadening access to CS and CT learning opportunities, addressing potential self-selection bias associated with elective CS coursework and afterschool programs, and promoting a more expansive and authentic contextualization of CS work.