Shuchi Grover is an American learning scientist and computer science education researcher. Her research investigates computational thinking and how to design effective educational courses for children.[1][3]
Grover was an undergraduate student at Harvard University, where she studied physics and computer science. She earned a master's degree in computer sciences at Harvard, and developed software for music students.[4] As part of this project, she used digital repositories to store score sheets. It was her first introduction to the potential of technology to accelerate student learning.[4] She completed a degree in Technology, Innovation and Education at Harvard, before moving to California.[4] Grover focused on learning sciences at Stanford University for her doctoral research, which investigated advanced computational thinking for deep learning in middle school students and was supervised by Roy Pea.[2] She developed a 6-week Stanford OpenEdX course to introduce middle school students to computer sciences.[5]
In 2010, Grover was awarded an Amir Lopatin Fellowship to study computational thinking in K-12 students.[6] She is particularly interested in how computational learning could be a social driver.[6][7] As part of the fellowship, Grover studied middle school students in Bangalore. Her research investigated the various dimensions of computational thinking and how children choose what to value and engage with.[6] In 2014, she argued that to increase the number of women in technology, computer science should be taught in US schools, and computer scientists should act to diminish the "nerd" stereotype.[8]