George Mason University
Graduate School of Education - George Mason University

Our Graduate School of Education is the alma mater for one third of teachers and administrators in Northern Virginia’s world-class school systems. Each year, more than 3,000 graduate students enroll in our innovative academic programs, which include advanced study for teachers and school leaders, instructional design and technology, and a renowned PhD in Education program that is among the largest in the country.

Sub-navigation:

School of Recreation, Health, and Tourism - George Mason University

The School of Recreation, Health, and Tourism (SRHT) offers exciting, career-ready majors in dynamic fields such as athletic training, tourism and events management, health and physical education, kinesiology, sport management, and recreation management. SRHT features renowned faculty, cutting-edge research, six laboratories and centers, and a diverse student body of more than 1,000 undergraduate and graduate students each year. Each major requires one or more internship or clinical experiences, ensuring that students graduate not just with a transcript but with a resume that demonstrates their professional aptitude and skills.

Fostering Student Computational Thinking with Self-Regulated Learning

October 2, 2018

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.