Registered user since Thu 11 Jun 2020
Name: Leo Porter
Bio: Leo Porter is an Associate Teaching Professor in the Computer Science and Engineering Department at UC San Diego. He is best known for his research on the impact of Peer Instruction in computing courses, the use of clicker data to predict student outcomes, and the development of the Basic Data Structures Concept Inventory. He co-teaches the popular Coursera Specialization “Object-Oriented Java Programming: Data Structures and Beyond” with over 300,000 enrolled learners and the first course in the edX MicroMasters in Data Science, “Python for Data Science”, with over 200,000 enrolled learners. Dedicated to helping faculty adopt best practices in teaching, he co-leads the annual “New Computer Science Faculty Teaching Workshop”. He has received multiple Best Paper Awards, SIGCSEs 50th Year Anniversary Top Ten Symposium Papers of All Time Award, and the Outstanding Teaching Award from Warren College (2019). He currently serves as Secretary of the SIGCSE Board.
Country: United States
Affiliation: University of California San Diego
Personal website: https://cseweb.ucsd.edu/~leporter/
Research interests: Peer Instruction, Concept Inventories, Predicting Student Outcomes, Struggling Students