Problem solving is a complex process that requires domain knowledge, procedural knowledge, and general problem solving skills. Problem solving in computer science adds additional layers of complexity as learners need to consider how to communicate with a machine, account for interconnectivity with other systems, and more. When people try to learn computer science online, they typically cannot use many of the strategies that they have developed through years of schooling. All of these factors add up to a learning environment that stifles success and yet is increasingly used in development of digital literacy and our workforce. In this talk, we’ll discuss the common barriers that learners face as they acquire problem solving skills, why people with a PhD aren’t always the best people to help them, and how to support problem solving in online learning environments. The focus of the talk will be on computer science education at the higher education level, but implications for K-12 and engineering education will also be included.

 

Lauren Margulieux is an Assistant Professor of Learning Technologies at Georgia State University. She received her Ph.D. from Georgia Tech in Engineering Psychology, the study of how humans interact with technology. Her research interests are in educational technology and online learning, particularly for computer science and engineering education. She focuses on designing instructions in a way that supports online students who do not necessarily have immediate access to a teacher or instructor to ask questions or overcome problem solving impasses.