Rigorous Computer Science Research Articles

The in silico lab: Improving academic code using lessons from biology

"Good code" is often regarded as a nebulous, impractical ideal. Common best practices toward improving code quality can be inaccessible to those without a rigorous computer science or software engineering background, contributing to a gap between advancing scientific research and FAIR practices. We seek to equip researchers with the necessary background and context to tackle the challenge of improving code quality in computational biology research using analogies from biology to synthesize why certain best practices are critical for advancing computational research. Improving code quality requires active stewardship; we encourage researchers to deliberately adopt and share practices that ensure reusability, repeatability, and reproducibility.

The Association Between Female Students’ Computer Science Education and STEM Major Selection: Multilevel Structural Equation Modeling

Concerning the underrepresentation of female students in computer science (CS) classes at the K-12 level and math-intensive STEM fields, this study investigated the relationship between female students earning less credits in CS courses during high school and their STEM major choices. Data were drawn from a nationally representative sample of U.S. high school graduates from the restricted data of the Educational Longitudinal Study of 2002 which were collected by the National Center for Educational Statistics. The multilevel structural equation modeling revealed that (a) female students’ lower frequency of taking CS courses was associated significantly with their underrepresentation in STEM fields, (b) earning less credits in CS courses was a stronger factor for female students’ underrepresentation in STEM fields compared to the well-documented predictors for STEM major choice—math self-efficacy and math scores on the ACT, and (c) no significant difference in ACT math scores emerged between male and female students, which challenges the dominant view that male students’ greater math aptitude causes the persistent gender gap that leads to women’s underrepresentation in STEM fields. The study suggests that integrating CS in traditional classrooms as well as promoting a rigorous CS curriculum at the secondary level would be an effective strategy to increase female participation in math-intensive STEM fields.

How to Implement Rigorous Computer Science Education in K-12 Schools? Some Answers and Many Questions

Aiming to collect various concepts, approaches, and strategies for improving computer science education in K-12 schools, we edited this second special issue of the ACM TOCE journal. Our intention was to collect a set of case studies from different countries that would describe all relevant aspects of specific implementations of Computer Science Education in K-12 schools. By this, we want to deliver well-founded arguments and rich material to the critical discussion about the state and the goals of K-12 computer science education, and also provide visions for the future of this research area. In this editorial, we explain our intention and report some details about the genesis of these special issues. Following, we give a short summary of the Darmstadt Model, which was suggested to serve as a structuring principle of the case studies. The next part of the editorial presents a short description of the five extended case studies from India, Korea, NRW/Germany, Finland, and USA that are selected to be included in this second issue. In order to give some perspectives for the future, we propose a set of open research questions of the field, partly derived from the Darmstadt Model, partly stimulated by a look on large-scale investigations like PISA.

Perspectives and Visions of Computer Science Education in Primary and Secondary (K-12) Schools

In view of the recent developments in many countries, for example, in the USA and in the UK, it appears that computer science education (CSE) in primary or secondary schools (K-12) has reached a significant turning point, shifting its focus from ICT-oriented to rigorous computer science concepts. The goal of this special issue is to offer a publication platform for soundly based in-depth experiences that have been made around the world with concepts, approaches, or initiatives that aim at supporting this shift. For this purpose, the article format was kept as large as possible, enabling the authors to explain many facets of their concepts and experiences in detail. Regarding the structure of the articles, we had encouraged the authors to lean on the Darmstadt Model, a category system that was developed to support the development, improvement, and investigation of K-12 CSE across regional or national boundaries. This model could serve as a unifying framework that might provide a proper structure for a well-founded critical discussion about the future of K-12 CSE. Curriculum designers or policy stakeholders, who have to decide, which approach an upcoming national initiative should follow, could benefit from this discussion as well as researchers who are investigating K12 CSE in any regard. With this goal in mind, we have selected six extensive and two short case studies from the UK, New Zealand, USA/Israel, France, Sweden, Georgia (USA), Russia, and Italy that provide an in-depth analysis of K-12 CSE in their respective country or state.

Democratizing computer science knowledge: transforming the face of computer science through public high school education

Despite the fact that computer science (CS) is the driver of technological innovations across all disciplines and aspects of our lives, including participatory media, high school CS too commonly fails to incorporate the perspectives and concerns of low-income students of color. This article describes a partnership program – Exploring Computer Science (ECS) – that directly counters this problem in our nation's second largest school district. With a mission of democratizing CS learning, we argue that despite the constraints of working within public schools, it is imperative to do so. We discuss the ECS program based on inquiry, culturally relevant curriculum, and equity-oriented pedagogy. We describe two ECS-affiliated projects that highlight the importance of authorship, purpose, and agency for student learning and engagement: DietSens using mobile technology to study community health, and a project in which students create video games about social issues. Our work offers a counter-narrative to those who have written off the possibilities of working within public schools and a debunking of the too widespread myth within our educational system that females and students of color are inherently uninterested in rigorous CS learning.

PREDICTING (AND CREATING) SUCCESS IN CS1

This paper describes a testing process that has shown significant validity at measuring preparedness for success in a rigorous Computer Science 1 course. Basic skills, knowledge, and conceptual abilities are tested with a simple exam, and the results have proven to be very useful for predicting future success in CS1. The exam also provides prescriptive information about areas of deficiency in which students need improvement to be adequately prepared for CS1. This placement exam has been used to determine which students need additional preparation before entering CS1, and a CS0 course has been created to provide a way for students to get a stronger background in many of the areas that are needed for CS1. Details of the testing exam and its predictive abilities are described in the paper, along with recommendations for its most effective use.