No abstract

A concept inventory is a standardized assessment tool intended to evaluate a student's understanding of the core concepts of a topic. In order to create a concept inventory it is necessary to accurately identify these core concepts. A Delphi process is a structured multi-step process that uses a group of experts to achieve a consensus opinion. We present the results of three Delphi processes to identify topics that are important and difficult in each of three introductory computing subjects: discrete mathematics, programming fundamentals, and logic design. The topic rankings can not only be used to guide the coverage of concept inventories, but can also be used by instructors to identify what topics merit special attention.

A Delphi process is a structured multi-step process that uses a group of experts to achieve a consensus opinion. We present the results of three Delphi processes to identify topics that are important and difficult in each of three introductory computing subjects: discrete math, programming fundamentals, and logic design. The topic rankings can be used to guide both the coverage of student learning assessments (i.e., concept inventories) and can be used by instructors to identify what topics merit emphasis.

The ability to reason with formal logic is a foundational skill for computer scientists and computer engineers that scaffolds the abilities to design, debug, and optimize. By interviewing students about their understanding of propositional logic and their ability to translate from English specifications to Boolean expressions, we characterized common misconceptions and novice problem-solving processes of students who had recently completed a digital logic design class. We present these results and discuss their implications for instruction and the development of pedagogical assessment tools known as concept inventories.

Aspiring software engineers must be able to comprehend and evolve legacy code, which is challenging because the code may be poorly documented, ill structured, and lacking in human support. These challenges of understanding and evolving existing code can be illustrated in academic settings by leveraging the rich and varied volume of Open Source Software (OSS) code. To teach SE with OSS, however, it is necessary to select uniform projects of appropriate size and complexity. This paper reports on our search for suitable OSS projects to teach an introductory SE course with a focus on maintenance and evolution. The search turned out to be quite labor intensive and cumbersome, contrary to our expectations that it would be quick and simple. The chosen projects successfully demonstrated the maintenance challenges, highlighting the promise of using OSS. The burden of selecting projects, however, may impede widespread integration of OSS into SE and other computing courses.