Archive for April 7, 2017
I’ve worked with Susanne in a variety of contexts and recommend checking out her page linked below. She’s taught me a lot about how computing education research connects to the rest of CS, as described in the quote below. She’s done some interesting work on CS teacher professional development. Most recently, she is one of the authors of the “Generation CS” CRA report.
As computer science evolves into a recognized subject in K-12 curricula, we not only need to know how students learn, but we also need to know how to educate and prepare their teachers. The National Science Foundation’s CS10K effort has been an ambitious project with a significant impact on schools and computer science education research. Online learning opportunities, including MOOCs, Khan Academy, Stack Overflow, and Code.org, help many students learn to code and advance their computing knowledge. Online forums can provide data on clicks, completions, progress, and more. How can this data be used to advance how users learn? How can the background and the goals of the learner be integrated into providing personalized and more meaningful help that advances and enhances learning? To answer questions like this, we need to apply knowledge from a range of areas. Computer science education research is an interdisciplinary field that combines learning sciences and areas of computer science, including software engineering, programming languages, machine learning, human-computer interaction, and natural language processing. Techniques, approaches, and tools developed by researchers in these areas have the potential to create new knowledge about learning and teaching computer science. In turn, this new knowledge has the potential to drive new research in computer science.