Lauren Margulieux, associate professor in the Department of Learning Sciences, was featured in a Fierce Education article on teaching computational thinking skills to future college students.
The article outlines computational thinking’s four main elements – problem decomposition, pattern recognition, abstraction and algorithms – and quotes Margulieux on the importance of including computational thinking in both classrooms and teacher education programs.
“Computational thinking is about processing information systematically and logically, like a computer would,” Margulieux said in the article. “When computational thinking is paired with programming skills, people can automate the repetitive information processing tasks that they tend to dislike but are necessary for their jobs.”
To read the full article, visit https://www.fierceeducation.com/teaching-learning/teaching-computational-thinking-essential-future-college-students.