Over the past decades, numerous practical applications of machine learning techniques
have shown the potential of AI-driven and data-driven approaches in a large number of …

The need for organized computing education efforts dates back to the 1950s. Since then,
computing education research (CER) has evolved and matured from its early initiatives and …

Background We outline a case for how the Learning Sciences is at a powerful inflection
point where the “real world” needs to be seen as comprised of the political entities and …

The media environment has radically changed over the past few decades. Transition and
transformation of media platforms has enabled algorithms and automation to take over …

Context. Computing Education Research (CER) is critical to help the computing education
community and policy makers support the increasing population of students who need to …

This report defines notional machines (NMs), and provides a series of definitional
characteristics by which they may be identified. Over several sections, it includes a first-hand …

Computer-supported learning technologies are essential for conducting hands-on
cybersecurity training. These technologies create environments that emulate a realistic IT …

Prior research has shown that students face transition challenges between programming
languages (PL) over the course of their education. We could not find research attempting to …

A rich body of empirically grounded results and a solid theory base have often been viewed
as signs of a mature discipline. Many disciplines have frequently debated what they should …

Over the past decades, numerous practical applications of machine learning techniques
have shown the potential of data-driven approaches in a large number of computing fields …