College of Education and Human Development

Fostering Student Computational Thinking with Self-Regulated Learning

Fostering Student Computational Thinking with Self-Regulated Learning is a new $3.5M (over 5 years) NSF-funded STEM+C grant that will advance research and development of new transdisciplinary approaches to computational STEM teaching and learning that will integrate the fields of Computational Thinking (CT) and Self-Regulated learning (SRL) into science activities in four content areas: Earth Science, Biology, Chemistry, and Physics. The project will provide professional development (PD) for high school teachers that includes instruction on CT, SRL, and on the development of SPIN (Science Practices Innovation Notebook). Next, teachers will collaboratively develop lessons that infuse CT & SRL, upload the lessons into SPIN, implement those lessons in their classrooms, and then collaboratively analyze student work samples captured by SPIN. The research team will employ data analytics to uncover patterns and develop a CT learning progression for grades 9-12.

Erin Peters-Burton (Mason) is PI, Anastasia Kitsantas (Mason), Tim Cleary (Rutgers), and Peter Rich (BYU) are co-PIs.